{"meta":{"query_hash":"1453c072ef9a","filters":{"topic":"Mineral Processing and Grinding"},"cohort_total":842,"direct_labels_cover":1,"predictions_cover":842,"exported":842,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/1453c072ef9a","api":"https://metacan.xera.ac/api/v1/cohort?topic=Mineral+Processing+and+Grinding"},"results":[{"id":"W1005637924","doi":"10.1016/j.powtec.2015.06.022","title":"Decoupling electrostatic signals from gas–solid bubbling fluidized beds","year":2015,"lang":"en","type":"article","venue":"Powder Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; NOVA Chemicals","keywords":"Decoupling (probability); Fluidization; Fluidized bed; Mechanics; Materials science; Environmental science; Nuclear engineering; Engineering; Waste management; Physics; Control engineering","score_opus":0.019001679036402843,"score_gpt":0.2558110831171888,"score_spread":0.23680940408078596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1005637924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8676149,0.00094360154,0.12216604,0.00058516907,0.00039647947,0.000085463216,0.00015527944,0.00075442746,0.0072985454],"genre_scores_gemma":[0.9848512,0.00029630732,0.012420214,0.00017143573,0.00008122344,0.000024806926,0.000106061096,0.000058991256,0.001989726],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997354,0.000030555228,0.000013002665,0.000041773368,0.00013432268,0.000044981265],"domain_scores_gemma":[0.9998061,0.00008248607,0.000020027339,0.00001732323,0.000054663502,0.00001936649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031955252,0.0003592385,0.00034002698,0.00029573092,0.00031947455,0.00042368236,0.0005265069,0.00038813287,0.0021332419],"category_scores_gemma":[0.0007373102,0.00020976445,0.00013447578,0.0002640019,0.00043202995,0.00079254137,0.00075671944,0.000513552,0.0003864202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027664914,0.000026172998,0.00045988808,0.00007601716,0.000006013558,0.00007394465,0.00005306939,0.001017615,0.9809202,0.0008685991,0.00023820871,0.015983619],"study_design_scores_gemma":[0.0000392631,0.00020904496,0.001921485,0.00000921162,0.000007942851,0.000087777225,0.000055774115,0.027170816,0.9664387,0.0005827981,0.00346022,0.0000169358],"about_ca_topic_score_codex":0.0005130021,"about_ca_topic_score_gemma":0.0011094871,"teacher_disagreement_score":0.0021332419,"about_ca_system_score_codex":0.00043731855,"about_ca_system_score_gemma":0.0003756328,"threshold_uncertainty_score":0.0071364045},"labels":[],"label_agreement":null},{"id":"W10306562","doi":"","title":"Inferred Weak Rock Mass Classification for Stope Design","year":2013,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rock mass classification; Rock mass rating; Geology; Lithology; Mining engineering; Stoping; Rock mechanics; Geotechnical engineering; Petrology","score_opus":0.05037970155517422,"score_gpt":0.24149283747439024,"score_spread":0.19111313591921603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W10306562","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031902872,0.000051469913,0.9628052,0.000042583146,0.00002160245,0.0005792389,0.00024822014,0.0010669652,0.0032818],"genre_scores_gemma":[0.2366207,0.00003594349,0.7601101,0.00004082809,0.000011903404,0.00082024606,0.0006776259,0.00024371302,0.0014390586],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9936067,0.0025369497,0.00060647336,0.00061972823,0.0024609978,0.00016918604],"domain_scores_gemma":[0.977698,0.010839415,0.0022996925,0.0027361559,0.006190728,0.00023607377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007875168,0.0012906159,0.0009131565,0.0033467873,0.0005261136,0.0016721268,0.0011583169,0.00079016486,0.006831405],"category_scores_gemma":[0.034483813,0.00051674125,0.0006861528,0.0010777988,0.00061155274,0.0011766623,0.0011171475,0.0008717149,0.0017009962],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006497799,0.00033506996,0.024851331,0.00043218507,0.000089741094,0.00010694915,0.00044204775,0.131735,0.023331648,0.0116932,0.0028955124,0.8034375],"study_design_scores_gemma":[0.00013968514,0.001601977,0.02500313,0.00015399548,0.000072559946,0.00013164898,0.0002479394,0.914435,0.028024362,0.01228446,0.017785942,0.00011945055],"about_ca_topic_score_codex":0.0011297184,"about_ca_topic_score_gemma":0.0025550397,"teacher_disagreement_score":0.007875168,"about_ca_system_score_codex":0.00084356137,"about_ca_system_score_gemma":0.0012231271,"threshold_uncertainty_score":0.041648388},"labels":[],"label_agreement":null},{"id":"W117641420","doi":"","title":"Evaluation of stress influences on ore dilution: a case study","year":2001,"lang":"en","type":"article","venue":"DC Rocks 2001, The 38th U.S. Symposium on Rock Mechanics (USRMS)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Laurentian University","funders":"","keywords":"Stress (linguistics)","score_opus":0.03413990591783992,"score_gpt":0.28244605171322623,"score_spread":0.24830614579538632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W117641420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98919046,0.00013912709,0.0019978916,0.00015939398,0.000009123242,0.00013720193,0.00013808391,0.00006095549,0.008167828],"genre_scores_gemma":[0.99485874,0.00014539759,0.002599369,0.000022813589,0.000006821973,0.000023923352,0.00008525608,0.000020013142,0.0022375376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870837,0.0003788047,0.00006743197,0.00011933802,0.00057776406,0.00014837318],"domain_scores_gemma":[0.995381,0.0030567413,0.00030503067,0.00028242246,0.0008236905,0.00015107618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015053486,0.00053767726,0.00046566516,0.0012625289,0.0015299844,0.0012177501,0.0010564111,0.0015785362,0.0026190372],"category_scores_gemma":[0.0055541373,0.00033653982,0.00062073313,0.001130556,0.00082377385,0.0007376081,0.0007302152,0.0005001191,0.00041542386],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00803141,0.009509104,0.36684757,0.0016018467,0.00038820406,0.06298252,0.010190389,0.13263339,0.100016564,0.008076995,0.008013482,0.29170856],"study_design_scores_gemma":[0.0010933204,0.011820756,0.32991853,0.00032320785,0.0007703956,0.016612634,0.024496632,0.3931098,0.18421067,0.008696948,0.028561322,0.00038566222],"about_ca_topic_score_codex":0.010576624,"about_ca_topic_score_gemma":0.022904057,"teacher_disagreement_score":0.010576624,"about_ca_system_score_codex":0.0015196949,"about_ca_system_score_gemma":0.0009221033,"threshold_uncertainty_score":0.021030128},"labels":[],"label_agreement":null},{"id":"W138217371","doi":"10.1007/978-1-4612-1250-8_10","title":"Tangentially Fired Burners","year":2000,"lang":"en","type":"book-chapter","venue":"Mechanical engineering series","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Technical University of Nova Scotia","funders":"","keywords":"Pulverized coal-fired boiler; Combustion; Engineering; Mechanical engineering; Coal; Waste management; Chemistry","score_opus":0.008122027738146069,"score_gpt":0.17134051341898357,"score_spread":0.1632184856808375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W138217371","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025997065,0.0021695138,0.0635737,0.00037146552,0.0010116063,0.00007532011,0.0001890269,0.0009441093,0.90566814],"genre_scores_gemma":[0.033329036,0.00069401145,0.012480382,0.00008943896,0.00003201996,0.000013956145,0.000096980504,0.00017912178,0.953085],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985373,0.000005837004,0.0000035857968,0.000029180568,0.00008958579,0.0000180436],"domain_scores_gemma":[0.99993324,0.0000097902885,0.000003860226,0.000021049114,0.000024560752,0.0000075843614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015102595,0.00044811371,0.0002441199,0.0005174061,0.0010479819,0.0011254578,0.0011001927,0.00045999623,0.040336322],"category_scores_gemma":[0.00021571091,0.00036756712,0.00027303255,0.000400265,0.0007541282,0.0009261505,0.00072479155,0.0016056211,0.010724569],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019301761,0.0001965027,0.0006882679,0.00024470285,0.000010226485,0.00034688902,0.0011161275,0.004327725,0.061360616,0.24847455,0.06842428,0.6146171],"study_design_scores_gemma":[0.000014954565,0.00010871915,0.0022631008,0.00014384018,0.0000122733545,0.00067941373,0.00042211555,0.005793557,0.033792876,0.02811603,0.92862517,0.00002804],"about_ca_topic_score_codex":0.0014864199,"about_ca_topic_score_gemma":0.005957975,"teacher_disagreement_score":0.040336322,"about_ca_system_score_codex":0.0004490534,"about_ca_system_score_gemma":0.00046050578,"threshold_uncertainty_score":0.13493842},"labels":[],"label_agreement":null},{"id":"W1495472409","doi":"10.4236/jmmce.2011.1012085","title":"Development and Calibration of a Quantitative, Automated Mineralogical Assessment Method Based on SEM-EDS and Image Analysis: Application for Fine Tailings","year":2011,"lang":"en","type":"article","venue":"Journal of Minerals and Materials Characterization and Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agnico Eagle (Canada); Université du Québec en Abitibi-Témiscamingue; Centre Technologique des Résidus Industriels; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tailings; Calibration; Environmental science; Metallurgy; Materials science; Mathematics; Statistics","score_opus":0.02160922972795495,"score_gpt":0.2711249975607471,"score_spread":0.24951576783279214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1495472409","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05701207,0.00077357446,0.93629587,0.00008845533,0.000097170676,0.0003800056,0.00042133528,0.0032152417,0.0017162745],"genre_scores_gemma":[0.13641131,0.00058585854,0.858713,0.000079849546,0.0000217622,0.00035078946,0.00032853486,0.00032080393,0.0031881693],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99786973,0.00017997746,0.00011861504,0.00043584695,0.0013337729,0.000062075225],"domain_scores_gemma":[0.9980709,0.0003302618,0.00019284312,0.00024062485,0.0011120769,0.000053258667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023541993,0.0010268076,0.0006508485,0.002255231,0.00040905926,0.0008369189,0.0014886084,0.001534289,0.0012557649],"category_scores_gemma":[0.0020109075,0.0007653445,0.00055172195,0.001269113,0.0006718782,0.0009393467,0.0009376009,0.0010029217,0.0009820242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007051402,0.000076928634,0.003326831,0.00039563066,0.000034780336,0.00006575401,0.00014447758,0.0018060647,0.8979336,0.00057499204,0.00053711253,0.09503326],"study_design_scores_gemma":[0.00001654352,0.000238101,0.009002629,0.000036219313,0.000056951638,0.00048486792,0.00013282696,0.04210992,0.9359254,0.00058376737,0.011335723,0.00007707269],"about_ca_topic_score_codex":0.0013444198,"about_ca_topic_score_gemma":0.0032383478,"teacher_disagreement_score":0.0023541993,"about_ca_system_score_codex":0.0005544936,"about_ca_system_score_gemma":0.0008478755,"threshold_uncertainty_score":0.012450397},"labels":[],"label_agreement":null},{"id":"W1503035345","doi":"10.1002/9780813823621.ch17","title":"Statistics of Sampling and Sample Preparation","year":2010,"lang":"en","type":"other","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Sampling (signal processing); Lot quality assurance sampling; Statistics; Sample (material); Sampling design; Quality assurance; Systematic sampling; Multistage sampling; Computer science; Mathematics; Engineering; Sociology; Chromatography; Chemistry; Operations management","score_opus":0.014393773850096074,"score_gpt":0.26470298214036153,"score_spread":0.2503092082902655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503035345","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0100369165,0.0019163472,0.85637414,0.001954773,0.0021638654,0.011557819,0.063504644,0.0057289638,0.046762567],"genre_scores_gemma":[0.06499728,0.004331924,0.76231587,0.0020739993,0.0013157649,0.030417219,0.07390885,0.0049328995,0.055706188],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.923227,0.03427241,0.007678721,0.007128965,0.026378449,0.0013145064],"domain_scores_gemma":[0.8031251,0.12589313,0.009880094,0.029117938,0.030991971,0.000991709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.038585167,0.001386975,0.0022213894,0.0051234425,0.0015961028,0.004437589,0.0023477247,0.0012860144,0.03095743],"category_scores_gemma":[0.20774573,0.0011209373,0.0016025375,0.008593363,0.001993924,0.0029472485,0.0024014076,0.0038137801,0.015573512],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006164403,0.00023931384,0.0255552,0.0026013681,0.00024687377,0.00021369585,0.0017465776,0.013718225,0.0028093662,0.11217474,0.233594,0.6064842],"study_design_scores_gemma":[0.00013686648,0.0007333446,0.036046777,0.0016368493,0.00021061227,0.00045976014,0.0015891651,0.026938353,0.01065427,0.11269094,0.8086792,0.00022380297],"about_ca_topic_score_codex":0.0067411703,"about_ca_topic_score_gemma":0.0062528956,"teacher_disagreement_score":0.038585167,"about_ca_system_score_codex":0.003833598,"about_ca_system_score_gemma":0.00881013,"threshold_uncertainty_score":0.20406032},"labels":[],"label_agreement":null},{"id":"W1504272476","doi":"10.1007/978-3-540-78831-7_57","title":"Automation and Robotics in Mining and Mineral Processing","year":2009,"lang":"en","type":"book-chapter","venue":"Springer handbooks","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Automation; Mineral processing; Engineering; Manufacturing engineering; Process (computing); Robotics; Process control; Production (economics); Productivity; Control (management); Process automation system; Production line; Process engineering; Systems engineering; Robot; Computer science; Artificial intelligence; Mechanical engineering","score_opus":0.014548023122078571,"score_gpt":0.21006553626467364,"score_spread":0.19551751314259508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504272476","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016993217,0.13489912,0.08834595,0.0019533944,0.0033463528,0.00006756854,0.00021266582,0.00074634835,0.76872927],"genre_scores_gemma":[0.009797718,0.0728645,0.02811443,0.0005046782,0.0011922156,0.00008168616,0.00025395842,0.00027169788,0.8869192],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996953,0.00003251247,0.000015169648,0.000056838166,0.00017880974,0.000021459675],"domain_scores_gemma":[0.9998116,0.00007509123,0.0000097614275,0.00003529714,0.000053155876,0.0000151203385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025821436,0.0012330044,0.0010153701,0.0015506854,0.0006740983,0.002707089,0.0011472299,0.0012007281,0.03546783],"category_scores_gemma":[0.00043560858,0.00051317445,0.0004597045,0.0023123953,0.0014201893,0.0035150226,0.0010900929,0.0017309965,0.021303572],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017768916,0.00005686075,0.00009887482,0.00071655837,0.000010436209,0.00008276204,0.00028597788,0.002571908,0.002455437,0.22089404,0.13720036,0.635609],"study_design_scores_gemma":[0.0000020172306,0.000017405104,0.00022393496,0.0001845214,0.0000050258045,0.00019271419,0.00006046385,0.0009378043,0.0005763029,0.048314806,0.94947547,0.000009645961],"about_ca_topic_score_codex":0.0013037998,"about_ca_topic_score_gemma":0.003741414,"teacher_disagreement_score":0.03546783,"about_ca_system_score_codex":0.00093668385,"about_ca_system_score_gemma":0.0011124144,"threshold_uncertainty_score":0.11865175},"labels":[],"label_agreement":null},{"id":"W1534807495","doi":"","title":"Infrasound noise radiated from vibrating screens atan ore refinery: Part 2 - Noise reduction treatments and noise mapping technique","year":2011,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Soft dB (Canada)","funders":"","keywords":"Acoustics; Noise (video); Infrasound; Sound pressure; Ranging; Sound intensity; Noise reduction; Refinery; Dynamic range; Scale (ratio); Engineering; Physics; Sound (geography); Computer science; Electronic engineering; Telecommunications","score_opus":0.023358205320836503,"score_gpt":0.19423007719625435,"score_spread":0.17087187187541786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1534807495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9139286,0.00008102557,0.08346276,0.00003707255,0.00001693499,0.00009450264,0.00009975036,0.00034768283,0.0019316551],"genre_scores_gemma":[0.9641267,0.00011836181,0.030959547,0.000019425315,0.000004135352,0.000092798924,0.0001384896,0.000051469335,0.004489094],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979144,0.00002228603,0.000008892712,0.000044430373,0.000113483235,0.000019504105],"domain_scores_gemma":[0.99980456,0.00005253762,0.000029359622,0.000034681725,0.00006467047,0.000014149644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020696741,0.00048208563,0.00037467346,0.00040472756,0.00023093459,0.0003085695,0.00041042303,0.00034558994,0.0021749993],"category_scores_gemma":[0.0004074354,0.00022904959,0.00035848413,0.00027974357,0.00034894524,0.00022976966,0.00027915183,0.00024462293,0.00037951785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002903858,0.000110220535,0.0013800916,0.00010172426,0.000009224982,0.00012410512,0.00014040346,0.008940051,0.964656,0.00017434641,0.00009792088,0.023975516],"study_design_scores_gemma":[0.000039934734,0.0015314237,0.012687687,0.000013713094,0.000055830213,0.00021022835,0.00018499512,0.024967598,0.95819664,0.00016272198,0.0019164186,0.000032756412],"about_ca_topic_score_codex":0.0014502765,"about_ca_topic_score_gemma":0.0019434079,"teacher_disagreement_score":0.0021749993,"about_ca_system_score_codex":0.00024259942,"about_ca_system_score_gemma":0.00019354137,"threshold_uncertainty_score":0.007276118},"labels":[],"label_agreement":null},{"id":"W154179974","doi":"10.1017/cbo9780511545993","title":"Applied Mineral Inventory Estimation","year":2002,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":178,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of British Columbia","funders":"","keywords":"Estimation; Resource (disambiguation); Mineral resource classification; Computer science; Graduate students; Mineral exploration; Operations research; Data mining; Engineering; Geology; Systems engineering; Geochemistry","score_opus":0.016591436529405514,"score_gpt":0.17348753969192415,"score_spread":0.15689610316251865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W154179974","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020905617,0.0016577648,0.9150985,0.0005649649,0.0003602943,0.0001390889,0.0011474785,0.0017873978,0.077154],"genre_scores_gemma":[0.062387876,0.0050746915,0.7306149,0.00044545505,0.00028028234,0.00025827283,0.0041034734,0.0010578961,0.19577724],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988667,0.00015465569,0.000050249637,0.00016216961,0.00072132493,0.000044960994],"domain_scores_gemma":[0.99865377,0.00046656164,0.00006179252,0.00021821358,0.00057122036,0.000028428907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013477126,0.00087019085,0.0007913796,0.0019960934,0.00039433793,0.0026272372,0.0018904543,0.000817542,0.022589628],"category_scores_gemma":[0.00478193,0.00044690113,0.0007738383,0.002847837,0.00044907434,0.0018936213,0.0012824544,0.0010284901,0.0128165865],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002344741,0.000037464248,0.0011617986,0.00036593195,0.000041547082,0.00015157096,0.00011155091,0.06939352,0.0019118495,0.08128457,0.064390026,0.78112674],"study_design_scores_gemma":[0.000010641904,0.00003478989,0.0019223222,0.00021852215,0.00003384626,0.00047983936,0.00013867996,0.3582886,0.0056094322,0.15740155,0.47580954,0.00005225929],"about_ca_topic_score_codex":0.0036384529,"about_ca_topic_score_gemma":0.004381496,"teacher_disagreement_score":0.022589628,"about_ca_system_score_codex":0.0008915833,"about_ca_system_score_gemma":0.0016934904,"threshold_uncertainty_score":0.07556981},"labels":[],"label_agreement":null},{"id":"W1542276434","doi":"10.1109/fie.2004.1408648","title":"Teaching undergraduates data mining in engineering programs","year":2005,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Demographics; Computer science; Quarter (Canadian coin); Engineering education; Undergraduate research; Mathematics education; Data science; Science and engineering; Engineering management; Medical education; Engineering; Engineering ethics; Psychology","score_opus":0.03401198502695035,"score_gpt":0.2523894241770324,"score_spread":0.21837743915008206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542276434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7497771,0.002799188,0.07735935,0.030151535,0.0019819688,0.0023577616,0.0026704906,0.0038300958,0.12907249],"genre_scores_gemma":[0.70229506,0.0034017994,0.13745695,0.0056377277,0.0006851485,0.0011286767,0.0025183521,0.00050117593,0.14637505],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978714,0.0003779945,0.00011338029,0.0003228764,0.000791468,0.00052297575],"domain_scores_gemma":[0.98088664,0.001382371,0.0010488334,0.0011192816,0.0047910656,0.010771693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044883615,0.0009115769,0.0007500849,0.0021232115,0.00237103,0.0030636557,0.0015725296,0.00066847523,0.018465739],"category_scores_gemma":[0.008018959,0.0005076351,0.00067421875,0.001302326,0.0007495411,0.0013067835,0.0034970916,0.0018792071,0.0070949337],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049947156,0.011970941,0.038564753,0.0005402182,0.00004019006,0.0004445426,0.005901498,0.0018833857,0.022045659,0.007883544,0.08317773,0.82704806],"study_design_scores_gemma":[0.00028997607,0.008129443,0.13813712,0.00080537464,0.00009264515,0.0021509083,0.014187458,0.016082374,0.05383635,0.030571142,0.7355858,0.00013142741],"about_ca_topic_score_codex":0.0022622698,"about_ca_topic_score_gemma":0.00838699,"teacher_disagreement_score":0.018465739,"about_ca_system_score_codex":0.0030518293,"about_ca_system_score_gemma":0.009930421,"threshold_uncertainty_score":0.061774015},"labels":[],"label_agreement":null},{"id":"W1596478025","doi":"10.1109/ultsym.1988.49424","title":"Fragmentation of rocks under ultrasonic loading","year":2003,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Ultrasonic sensor; Ultimate tensile strength; Fragmentation (computing); Transducer; Materials science; French horn; Compressive strength; Geology; Composite material; Mineralogy; Acoustics; Physics; Computer science","score_opus":0.011512703799945418,"score_gpt":0.2240104350366484,"score_spread":0.21249773123670296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596478025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99704057,0.00010906448,0.0007330418,0.000016740356,0.0000046584723,0.000017772158,0.00013396534,0.000037039084,0.0019070279],"genre_scores_gemma":[0.99393684,0.0000953286,0.0014872922,0.000041115556,0.000005493294,0.000022189444,0.0006963407,0.00004623822,0.0036692421],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996886,0.000015405494,0.000016294147,0.00007708185,0.00010802881,0.000094562885],"domain_scores_gemma":[0.99963367,0.000052792904,0.000079037025,0.000057550034,0.00010822983,0.00006875263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021465062,0.0002532865,0.00027933554,0.0006408121,0.00050256326,0.0003445029,0.0003661575,0.00029630013,0.004601235],"category_scores_gemma":[0.00045172448,0.00024698878,0.0001982876,0.0006007777,0.000865404,0.00023125052,0.000570819,0.00039032524,0.00053576345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029676277,0.000020695528,0.006143508,0.000052625135,0.000014813367,0.0003306668,0.00040407066,0.0003652637,0.98422074,0.00011359032,0.00010100428,0.007936231],"study_design_scores_gemma":[0.00004058471,0.0015673436,0.1694872,0.000030522555,0.00006219669,0.0015322018,0.0008998073,0.002165701,0.8190258,0.00028915587,0.00487309,0.00002638398],"about_ca_topic_score_codex":0.0029864814,"about_ca_topic_score_gemma":0.0057353154,"teacher_disagreement_score":0.004601235,"about_ca_system_score_codex":0.00045806527,"about_ca_system_score_gemma":0.00024580874,"threshold_uncertainty_score":0.015392661},"labels":[],"label_agreement":null},{"id":"W16003802","doi":"10.14264/uql.2020.370","title":"Geostatistical integration of conventional and downhole geophysical data in the metalliferous mine environment","year":2001,"lang":"en","type":"dissertation","venue":"The University of Queensland","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Well logging; Mining engineering; Drilling; Geology; Data mining; Petroleum engineering; Geophysics; Engineering; Computer science","score_opus":0.0183945941093567,"score_gpt":0.21873886034328843,"score_spread":0.20034426623393173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W16003802","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4599584,0.00021111745,0.5349378,0.00027124025,0.000048636168,0.00007608873,0.000948728,0.0015197342,0.0020282753],"genre_scores_gemma":[0.9326539,0.00009358202,0.06558414,0.000030404532,0.000010590765,0.00002786896,0.00100634,0.00008892589,0.0005042152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992525,0.00030491303,0.00005094189,0.00014073009,0.0002064298,0.000044452652],"domain_scores_gemma":[0.9983082,0.001031159,0.00015058597,0.00023154293,0.00023104573,0.000047534835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010241508,0.0002929075,0.00033176978,0.00095495005,0.00013672831,0.0007603945,0.0003364344,0.00023876014,0.00070084835],"category_scores_gemma":[0.0046567717,0.0002734363,0.0005073589,0.0012538675,0.0003056941,0.00059355085,0.00092605036,0.00042563357,0.00013741752],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034065088,0.00016189815,0.16415292,0.00012209844,0.0003013829,0.00035326887,0.00043418183,0.64608353,0.010325221,0.010545228,0.0009834507,0.16619615],"study_design_scores_gemma":[0.000009555982,0.00006906913,0.047361746,0.000010197855,0.000022357845,0.00006458484,0.00012897747,0.9449415,0.0018946651,0.003785086,0.0016873659,0.000024840308],"about_ca_topic_score_codex":0.022780892,"about_ca_topic_score_gemma":0.024024671,"teacher_disagreement_score":0.022780892,"about_ca_system_score_codex":0.00049264025,"about_ca_system_score_gemma":0.00082884845,"threshold_uncertainty_score":0.04529661},"labels":[],"label_agreement":null},{"id":"W170903780","doi":"10.1023/a:1010389825366","title":"Modeling and Optimization of Jet Milling","year":2001,"lang":"en","type":"article","venue":"Theoretical Foundations of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Nozzle; Jet (fluid); Acceleration; Mechanics; Injector; Range (aeronautics); Mill; Mechanical engineering; Materials science; Physics; Control theory (sociology); Engineering; Computer science; Classical mechanics; Composite material","score_opus":0.00808609828788381,"score_gpt":0.21585728798384698,"score_spread":0.20777118969596317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W170903780","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24152677,0.0031383708,0.6732026,0.0022530197,0.00032891773,0.00019051915,0.0008929091,0.00067110476,0.077795826],"genre_scores_gemma":[0.9661126,0.00069342944,0.022522727,0.00008619859,0.000052065396,0.00013749965,0.00022449209,0.00013151375,0.010039463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996978,0.00008619855,0.000013010858,0.00004670641,0.000089307825,0.00006704915],"domain_scores_gemma":[0.9991442,0.0005259127,0.0000949509,0.00003879331,0.00014335163,0.00005279046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006993598,0.00072209386,0.0016046237,0.0006443442,0.0007792098,0.0019328411,0.0015274195,0.002197297,0.0036230725],"category_scores_gemma":[0.0023591106,0.0010536863,0.000790463,0.00087707833,0.0011310201,0.001131171,0.0007436958,0.0008411085,0.0003450482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056252716,0.0000069879834,0.000048610505,0.0000058569376,0.0000023555683,0.000005216825,0.0000025532754,0.9976285,0.00006424964,0.0016746157,0.00006210226,0.0004933118],"study_design_scores_gemma":[0.0000033488097,0.0000023461344,0.00003095074,7.8973477e-7,0.0000010225933,9.662183e-7,0.0000016232177,0.9991215,0.00003143209,0.00071849383,0.000086222746,0.0000013259894],"about_ca_topic_score_codex":0.033248197,"about_ca_topic_score_gemma":0.016621461,"teacher_disagreement_score":0.033248197,"about_ca_system_score_codex":0.0019161471,"about_ca_system_score_gemma":0.0023585125,"threshold_uncertainty_score":0.0661093},"labels":[],"label_agreement":null},{"id":"W1729791166","doi":"10.1109/dmca.1997.603338","title":"Model-based Kamyr digester control","year":2002,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Multivariable calculus; Pulp (tooth); Process control; Process engineering; Control (management); Engineering; Computer science; Process (computing); Waste management; Control engineering; Artificial intelligence","score_opus":0.019522550761514528,"score_gpt":0.19159494806532376,"score_spread":0.17207239730380924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1729791166","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036448173,0.0007756734,0.9423846,0.00032566476,0.00015211191,0.000061553204,0.00015000292,0.0020421895,0.017660107],"genre_scores_gemma":[0.9722192,0.00038254878,0.020004712,0.000053174736,0.000034351677,0.000080805745,0.00010853709,0.000052293155,0.007064456],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974674,0.000043614753,0.000013004077,0.0000616883,0.00010073705,0.00003431016],"domain_scores_gemma":[0.9998098,0.000054304404,0.00004282207,0.000016044882,0.00006661037,0.000010401416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004024152,0.0006152692,0.00089839374,0.00020704832,0.00037572056,0.0013687616,0.00081799517,0.00067674357,0.002946761],"category_scores_gemma":[0.0005450334,0.00028592956,0.00039163517,0.0002099031,0.0004222291,0.00061739865,0.0006229447,0.00084070547,0.0006772291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014766982,0.000036826274,0.000165897,0.0001181122,0.000029501281,0.00004128751,0.00004532146,0.9525866,0.009719862,0.0069276304,0.00088070525,0.029300574],"study_design_scores_gemma":[0.000016743554,0.000051020008,0.0001225282,0.0000041293924,0.000006773465,0.000008537268,0.0000033701251,0.9970504,0.0010054036,0.00076135714,0.00096407847,0.000005571711],"about_ca_topic_score_codex":0.006143205,"about_ca_topic_score_gemma":0.0047958954,"teacher_disagreement_score":0.006143205,"about_ca_system_score_codex":0.0005666024,"about_ca_system_score_gemma":0.00070158986,"threshold_uncertainty_score":0.012214899},"labels":[],"label_agreement":null},{"id":"W1744043443","doi":"10.1109/igarss.1990.688944","title":"Incorporaton Of Image Analysis And Gis Data Integration Techniques Into A Mineral Exploration Program In Eastern Nova Scotia","year":2005,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Nova scotia; Nova (rocket); Computer science; Mineral exploration; Remote sensing; Geology; Engineering; Oceanography; Geochemistry; Aeronautics","score_opus":0.03343748494994568,"score_gpt":0.3009280421111611,"score_spread":0.2674905571612154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1744043443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99162394,0.000056365123,0.0011306828,0.00015022416,0.000006460836,0.00021440082,0.000543093,0.00008211878,0.0061926623],"genre_scores_gemma":[0.98266196,0.00009840253,0.00869822,0.00005404905,0.0000027553804,0.0000897662,0.0003693667,0.000016521832,0.008008779],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996885,0.000060146067,0.000015772717,0.000051981093,0.00010229892,0.00008135706],"domain_scores_gemma":[0.9991899,0.00013265495,0.00006915768,0.00004105683,0.00041431104,0.00015289884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003947895,0.0001816722,0.00015704344,0.0009143131,0.0012447804,0.000748982,0.0003921281,0.0002230473,0.0010215305],"category_scores_gemma":[0.0011547606,0.00020050917,0.00013894886,0.0012805491,0.00043816044,0.00021454522,0.00062868034,0.0002059047,0.00019451356],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010215223,0.00068298954,0.7453649,0.00030448183,0.000104155224,0.0038745021,0.0089114355,0.018666722,0.04948744,0.0014306159,0.0034378015,0.1667134],"study_design_scores_gemma":[0.00005309597,0.00021727801,0.95470464,0.000049017315,0.000053504496,0.00017610249,0.0071009146,0.019757435,0.0052827145,0.00012850066,0.012448636,0.000028063414],"about_ca_topic_score_codex":0.9284828,"about_ca_topic_score_gemma":0.977363,"teacher_disagreement_score":0.07151723,"about_ca_system_score_codex":0.00780244,"about_ca_system_score_gemma":0.012789273,"threshold_uncertainty_score":0.14387679},"labels":[],"label_agreement":null},{"id":"W1763231312","doi":"10.1109/ccece.1993.332225","title":"Quality prediction by neural network for pulp and paper processes","year":2002,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Backpropagation; Artificial neural network; Artificial intelligence; Computer science; Kappa number; Machine learning; Pulp (tooth); Quality (philosophy); Data mining; Engineering; Pulp and paper industry; Kraft process","score_opus":0.02498571299046335,"score_gpt":0.23746147884900676,"score_spread":0.21247576585854341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1763231312","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33856526,0.0018683333,0.6523308,0.000632656,0.00014505019,0.000059083133,0.00043903574,0.0017891121,0.004170585],"genre_scores_gemma":[0.93878627,0.00060087524,0.05440534,0.00006800418,0.0000475662,0.00005700915,0.00055543025,0.00006647626,0.0054130475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981517,0.00003370945,0.000010799371,0.000052183987,0.000062534426,0.000025566926],"domain_scores_gemma":[0.99950504,0.0002662785,0.00005250741,0.000022990385,0.00014229027,0.000010895035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064241973,0.0005911444,0.00040285083,0.00063771184,0.00025045525,0.0005512205,0.00048763066,0.0007015888,0.0015161933],"category_scores_gemma":[0.0019343292,0.00023899268,0.00040874662,0.00071695383,0.00022514808,0.0007116053,0.0002245446,0.0006900007,0.0004051848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010053016,0.000055165732,0.00238252,0.000037560683,0.000031293224,0.000033658707,0.00001586862,0.9271976,0.0018551942,0.0005327929,0.0007152223,0.06704261],"study_design_scores_gemma":[0.0000012983612,0.0000048776224,0.00028902237,0.0000011057725,0.0000022711665,0.0000017537282,7.825757e-7,0.99902153,0.00040497945,0.00020755394,0.000063462365,0.0000013864693],"about_ca_topic_score_codex":0.018297276,"about_ca_topic_score_gemma":0.012467658,"teacher_disagreement_score":0.018297276,"about_ca_system_score_codex":0.00084828323,"about_ca_system_score_gemma":0.00046294124,"threshold_uncertainty_score":0.036381543},"labels":[],"label_agreement":null},{"id":"W1874278032","doi":"10.1002/cjce.22253","title":"Serial Hybrid Modelling for a Gold Cyanidation Leaching Plant","year":2015,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Gold cyanidation; Leaching (pedology); Estimator; Computer science; Tikhonov regularization; Biological system; Process engineering; Algorithm; Environmental science; Engineering; Cyanide; Materials science; Mathematics; Metallurgy; Inverse problem; Soil science","score_opus":0.025844762247482656,"score_gpt":0.1922611070647736,"score_spread":0.16641634481729092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1874278032","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15473078,0.00035914738,0.8337621,0.00026510144,0.000077162746,0.00006411382,0.00024469523,0.0007195279,0.009777389],"genre_scores_gemma":[0.9645299,0.00021359266,0.02440085,0.000049853945,0.000014554959,0.00011094302,0.00018808205,0.000041218344,0.010450922],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975246,0.00003609671,0.00001583501,0.000096365824,0.00007461551,0.00002461718],"domain_scores_gemma":[0.99976045,0.000091091555,0.000045352706,0.000021748807,0.0000698659,0.0000114830245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039668992,0.0006443592,0.00076031627,0.0003417976,0.00040131056,0.0009821431,0.0011700105,0.0010977581,0.0021258874],"category_scores_gemma":[0.0004788607,0.0005155634,0.00097645726,0.00038958158,0.00058576127,0.0008396559,0.0007786694,0.0008082857,0.00037226506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033792418,0.000022903068,0.00068218895,0.000032458516,0.000020413274,0.00005328618,0.000029551675,0.9885484,0.0036061734,0.0014041188,0.0001034857,0.005463188],"study_design_scores_gemma":[0.0000020205387,0.000010949982,0.00010294649,9.627594e-7,0.0000036550157,0.0000053238164,0.0000026880937,0.99899155,0.00045741064,0.0002793355,0.00013976284,0.0000034803736],"about_ca_topic_score_codex":0.017221289,"about_ca_topic_score_gemma":0.01261243,"teacher_disagreement_score":0.017221289,"about_ca_system_score_codex":0.0008222324,"about_ca_system_score_gemma":0.0007842574,"threshold_uncertainty_score":0.034242153},"labels":[],"label_agreement":null},{"id":"W1904421210","doi":"10.24908/pceea.v0i0.3854","title":"LINE WEAR SENSOR DESIGN","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Grind; Comminution; Mill; Process engineering; Mechanical engineering; Automotive engineering; Materials science; Engineering; Metallurgy; Grinding","score_opus":0.017254573099556705,"score_gpt":0.185189974601533,"score_spread":0.16793540150197628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1904421210","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034357052,0.0032302407,0.9406995,0.0004995576,0.0010791,0.0011954656,0.0012036519,0.0057064407,0.012029021],"genre_scores_gemma":[0.4623222,0.0029443756,0.47990984,0.0015631914,0.00040164476,0.0010044166,0.0023061605,0.00044572775,0.049102355],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99821776,0.00013215131,0.00008989859,0.0004497867,0.0010410304,0.00006948282],"domain_scores_gemma":[0.9983785,0.00019802779,0.00018302389,0.00013933633,0.0010364314,0.00006461747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006506692,0.0011226599,0.0009704558,0.0009754369,0.00040271244,0.0013894645,0.002937501,0.0017307139,0.004780022],"category_scores_gemma":[0.0017572698,0.00047865347,0.00039562437,0.0005979061,0.00029693643,0.0015594319,0.00057422626,0.00088332145,0.0032409485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067107705,0.00020428395,0.0027326308,0.001701244,0.000095012816,0.00052867195,0.00035679268,0.005823694,0.6246206,0.0023406867,0.01514194,0.3457833],"study_design_scores_gemma":[0.000102331935,0.0023999573,0.0060238275,0.0001809203,0.00015600052,0.005162991,0.00021587487,0.09048764,0.7610709,0.0013425142,0.13266379,0.00019322701],"about_ca_topic_score_codex":0.0007927105,"about_ca_topic_score_gemma":0.00086005573,"teacher_disagreement_score":0.004780022,"about_ca_system_score_codex":0.0005576924,"about_ca_system_score_gemma":0.00047360393,"threshold_uncertainty_score":0.015990794},"labels":[],"label_agreement":null},{"id":"W1913662022","doi":"","title":"Data mining and statistical analysis of completions in the Canadian Montney formation","year":2014,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Statistical analysis; Computer science; Data mining; Petroleum engineering; Statistics; Mathematics","score_opus":0.051886572766167934,"score_gpt":0.2704028503459097,"score_spread":0.2185162775797418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1913662022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802116,0.0003357357,0.0018534096,0.00020712857,0.000008835087,0.00006816353,0.013384008,0.00019586709,0.003735183],"genre_scores_gemma":[0.9767164,0.00020454143,0.0050850296,0.000015243641,0.0000056099084,0.000041092648,0.014087239,0.00003641121,0.003808473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988894,0.000049257134,0.000068742724,0.00015424751,0.0006383524,0.00019999524],"domain_scores_gemma":[0.99676573,0.00040350627,0.00037665604,0.00022453997,0.0019635705,0.00026602577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085532747,0.00036297622,0.00041585538,0.0041683693,0.0016490411,0.0011444488,0.0015433824,0.00043298298,0.0018560358],"category_scores_gemma":[0.0037353649,0.00020828586,0.00046610544,0.0056556244,0.0010161846,0.00037153557,0.0008542463,0.00047168063,0.00048478783],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005008283,0.00020303085,0.8017108,0.00029188418,0.00012375794,0.0004375245,0.0032987471,0.029551344,0.0038206994,0.0035866585,0.011633349,0.14484137],"study_design_scores_gemma":[0.0000085601,0.000038762104,0.94440323,0.000044145407,0.000029618499,0.000058280773,0.0037403575,0.030731607,0.0023545611,0.0004609024,0.018092252,0.00003776544],"about_ca_topic_score_codex":0.9623694,"about_ca_topic_score_gemma":0.9817956,"teacher_disagreement_score":0.037630618,"about_ca_system_score_codex":0.0074514407,"about_ca_system_score_gemma":0.017526316,"threshold_uncertainty_score":0.075704396},"labels":[],"label_agreement":null},{"id":"W1938689217","doi":"10.3968/j.est.1923847920120302.293","title":"The Effect of Microwave Energy on Grindability of a Turkish High-Ash Coal","year":2012,"lang":"en","type":"article","venue":"Energy science and technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Coal; Microwave; Grinding; Metallurgy; Microwave oven; Materials science; Fly ash; Mineralogy; Composite material; Chemistry; Waste management; Engineering","score_opus":0.0027589335893812186,"score_gpt":0.19064007224726787,"score_spread":0.18788113865788664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1938689217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986419,0.00050746993,0.00053776306,0.000010093044,0.000004406033,0.0000037843536,0.000021631235,0.0000058110404,0.00026714386],"genre_scores_gemma":[0.9989685,0.00020749799,0.00045042858,0.000009167988,0.0000022468878,0.0000020481493,0.000047681544,0.000003892009,0.0003085452],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999863,0.0000209003,0.000008501492,0.00002181964,0.0000615384,0.000024212286],"domain_scores_gemma":[0.9998258,0.000057621568,0.00004683327,0.000015476586,0.000037320726,0.000016993978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017497959,0.00022508539,0.00016985572,0.0001987413,0.00013651961,0.00018000843,0.00011264464,0.00019621072,0.000913317],"category_scores_gemma":[0.0003096224,0.00009625448,0.0002819115,0.0001298747,0.00015765439,0.00015984607,0.00010376165,0.00028094553,0.000097462755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027022505,0.000022216078,0.0018251945,0.000051826828,0.000018149465,0.000049430357,0.000033033364,0.00017264491,0.99512225,0.000013176432,0.000007718224,0.0024142205],"study_design_scores_gemma":[0.00000732144,0.0008897569,0.043381773,0.0000036058823,0.000038397542,0.00013554466,0.000058794503,0.0005568201,0.9544867,0.000019262401,0.00041362311,0.00000845107],"about_ca_topic_score_codex":0.0007414589,"about_ca_topic_score_gemma":0.0017724684,"teacher_disagreement_score":0.000913317,"about_ca_system_score_codex":0.0001422554,"about_ca_system_score_gemma":0.000071988456,"threshold_uncertainty_score":0.0030553937},"labels":[],"label_agreement":null},{"id":"W1939577065","doi":"10.24908/pceea.v0i0.3853","title":"EXPLORING THE DESIGN AND DEVELOPMENT OF AN \"ON-THE-SHELL\" TUMBLING MILL ACOUSTING MONITORING SYSTEM","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mill; Comminution; Shell (structure); Microphone; Engineering; SIGNAL (programming language); Mechanical engineering; Data acquisition; Acoustics; Computer science; Materials science; Physics; Sound pressure; Metallurgy; Telecommunications","score_opus":0.07557719088074295,"score_gpt":0.20345476247993552,"score_spread":0.12787757159919255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1939577065","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06945184,0.0002272832,0.9148564,0.00048257672,0.00015579454,0.0007822244,0.00008325524,0.002502526,0.0114582125],"genre_scores_gemma":[0.34947115,0.00029201386,0.62985235,0.00027115855,0.00006300343,0.00026568168,0.00019335207,0.00015310074,0.019438153],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992085,0.00010319456,0.000042764455,0.00015005989,0.0004283713,0.00006716881],"domain_scores_gemma":[0.9992619,0.00008209158,0.0000573073,0.000044372173,0.00048211886,0.00007227277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009658019,0.00041203442,0.00043288292,0.0002742002,0.00042103312,0.00088870974,0.0017593086,0.0009035548,0.0033029325],"category_scores_gemma":[0.001010646,0.00033090205,0.00024425212,0.0001570635,0.0002995732,0.00124383,0.000528883,0.0006348932,0.0013834646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004550685,0.000471584,0.0040790616,0.0005046571,0.000068427034,0.0005723184,0.0006287388,0.018573279,0.71854824,0.011362909,0.0037154874,0.24102022],"study_design_scores_gemma":[0.00017047438,0.0040532434,0.0057957834,0.000102273254,0.00015890716,0.0012139009,0.00028721074,0.37835068,0.51226866,0.0012857427,0.096195154,0.00011804068],"about_ca_topic_score_codex":0.0020503474,"about_ca_topic_score_gemma":0.00194,"teacher_disagreement_score":0.0033029325,"about_ca_system_score_codex":0.0004343936,"about_ca_system_score_gemma":0.0011232643,"threshold_uncertainty_score":0.01104939},"labels":[],"label_agreement":null},{"id":"W1944725573","doi":"10.24908/pceea.v0i0.3882","title":"DESIGN PARAMETERS AFFECTING TUMBLING MILL NATURAL FREQUENCIES","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mill; Grind; Comminution; Cork; Mechanical engineering; Ball mill; Engineering; Natural frequency; Stiffness; Materials science; Metallurgy; Grinding; Composite material; Vibration; Structural engineering; Physics; Acoustics","score_opus":0.017625418755601283,"score_gpt":0.1891416322500297,"score_spread":0.17151621349442842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1944725573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7078753,0.0024921424,0.26622394,0.00036292578,0.00018283163,0.00032300505,0.00036504082,0.0015747881,0.020599974],"genre_scores_gemma":[0.97967476,0.0002556532,0.018244512,0.000038888124,0.000011215855,0.00007111389,0.00008648657,0.000120369245,0.0014970227],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992586,0.00014095646,0.000052106912,0.00016060639,0.0002833659,0.00010441821],"domain_scores_gemma":[0.9926198,0.003915528,0.0012857193,0.0005088784,0.0014112579,0.00025873256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013906487,0.00070410996,0.0005426477,0.0006406023,0.00045703308,0.0013693202,0.00079908356,0.0007339484,0.0032909003],"category_scores_gemma":[0.008431136,0.0003970647,0.0002190854,0.00036184696,0.00049081177,0.00078233803,0.000473401,0.00047075644,0.0010794983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030149291,0.0005102306,0.015033647,0.0016169134,0.00008894134,0.0007470794,0.0014223566,0.09465345,0.7409483,0.005973765,0.0024642833,0.13352606],"study_design_scores_gemma":[0.0003610739,0.0058201067,0.044476714,0.00034617804,0.00054616394,0.0015429514,0.0009982595,0.2874111,0.6219477,0.004070755,0.032138195,0.00034088612],"about_ca_topic_score_codex":0.0005956934,"about_ca_topic_score_gemma":0.0011499368,"teacher_disagreement_score":0.0032909003,"about_ca_system_score_codex":0.00071049196,"about_ca_system_score_gemma":0.0003928066,"threshold_uncertainty_score":0.011009157},"labels":[],"label_agreement":null},{"id":"W194518453","doi":"","title":"Estimating ore pass longevity in hard rock mines","year":2008,"lang":"en","type":"article","venue":"The 42nd U.S. Rock Mechanics Symposium (USRMS)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agnico Eagle (Canada); Université Laval","funders":"","keywords":"Mining engineering; Geology; Longevity; Environmental science","score_opus":0.01769429479197673,"score_gpt":0.21460746916684104,"score_spread":0.1969131743748643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W194518453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970247,0.00014558107,0.0010287269,0.000012715469,0.0000028243112,0.000005720231,0.0013222835,0.000033874043,0.00042344374],"genre_scores_gemma":[0.99517006,0.00011257486,0.0012645398,0.000002931107,0.00000565384,0.000006220606,0.0028302423,0.000009228914,0.00059851294],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996675,0.000047765992,0.000044185257,0.000110187844,0.00008613891,0.00004411616],"domain_scores_gemma":[0.9980134,0.00054124056,0.0005860566,0.00017579217,0.0005479345,0.00013547154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007835224,0.0003466364,0.00031244062,0.0027806475,0.00024890836,0.0005350801,0.0004264763,0.00052312406,0.00064425304],"category_scores_gemma":[0.003254186,0.00021594613,0.0003578117,0.0009073024,0.0001405518,0.00070995826,0.00044547525,0.00020982226,0.00050493074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001380756,0.000020847789,0.9788498,0.000018411696,0.00005363914,0.00007587292,0.00007754756,0.008007582,0.0008803113,0.00007862068,0.0002550874,0.011544134],"study_design_scores_gemma":[0.000006939895,0.00018322618,0.95864284,0.000016266746,0.00005467935,0.00020204454,0.00031804747,0.03722683,0.0016819786,0.000344513,0.0013068205,0.000015935286],"about_ca_topic_score_codex":0.015949233,"about_ca_topic_score_gemma":0.026634173,"teacher_disagreement_score":0.015949233,"about_ca_system_score_codex":0.00046228684,"about_ca_system_score_gemma":0.00026134375,"threshold_uncertainty_score":0.03171277},"labels":[],"label_agreement":null},{"id":"W1945449629","doi":"10.3968/5955","title":"Numerical Simulation of the Bottom Hole Flow Field of Particle Impact Drilling","year":2014,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer simulation; Drilling; Particle (ecology); Mechanics; Smoothed-particle hydrodynamics; Drilling fluid; Field (mathematics); Magnetosphere particle motion; Fluid dynamics; Geology; Engineering; Mechanical engineering; Physics; Magnetic field; Mathematics","score_opus":0.012705831135228232,"score_gpt":0.26973244198616325,"score_spread":0.25702661085093503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1945449629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5498187,0.0005717285,0.42630342,0.0005852579,0.00024088593,0.00019354407,0.0003981327,0.0006665039,0.021221893],"genre_scores_gemma":[0.96444404,0.00022788938,0.031731606,0.00003208073,0.00001604175,0.000097345524,0.00016110366,0.000024197961,0.003265685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982315,0.000037241767,0.000011549467,0.000023880553,0.00007051512,0.00003367486],"domain_scores_gemma":[0.9996798,0.00013911603,0.000036533624,0.000019214085,0.000088656954,0.000036676054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034776478,0.0003759436,0.00052937097,0.000502473,0.00063586875,0.0005463309,0.0005248359,0.0011238722,0.0014164735],"category_scores_gemma":[0.0010723752,0.00025031966,0.00042673416,0.0004635672,0.0007817146,0.0006559823,0.00059176167,0.00047809444,0.00012573253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007838061,0.000040182185,0.0019151523,0.00006691659,0.000009283393,0.000199898,0.00012534136,0.97869325,0.007891001,0.0048722825,0.0003443541,0.0057640066],"study_design_scores_gemma":[0.000010322268,0.0000140816055,0.00022937903,0.0000032159687,0.000001562124,0.000014881029,0.000014489874,0.99839044,0.0007307769,0.00031448252,0.00027133522,0.0000049873206],"about_ca_topic_score_codex":0.010999592,"about_ca_topic_score_gemma":0.003296047,"teacher_disagreement_score":0.010999592,"about_ca_system_score_codex":0.0005373161,"about_ca_system_score_gemma":0.0009876615,"threshold_uncertainty_score":0.02187115},"labels":[],"label_agreement":null},{"id":"W1966172105","doi":"10.1016/j.partic.2014.12.004","title":"Cluster identification using image processing","year":2015,"lang":"en","type":"article","venue":"Particuology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Commonwealth Scholarship Commission","keywords":"Cluster (spacecraft); Pixel; Biological system; Hue; Core (optical fiber); Phase (matter); Fraction (chemistry); Saturation (graph theory); Identification (biology); Threshold limit value; Selection (genetic algorithm); Pattern recognition (psychology); Physics; Mathematics; Chemistry; Computer science; Chromatography; Artificial intelligence; Optics; Biology; Combinatorics","score_opus":0.0489585770533765,"score_gpt":0.2939858017366699,"score_spread":0.24502722468329338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966172105","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026529152,0.00017310983,0.9602661,0.00014369209,0.0001223357,0.0002368454,0.00072475517,0.0059809727,0.005823016],"genre_scores_gemma":[0.12876917,0.0001956708,0.8612592,0.000076707525,0.000060731018,0.00020073992,0.0019373258,0.0005170858,0.006983298],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992347,0.00005748007,0.00003541896,0.00025814882,0.00025244532,0.00016187513],"domain_scores_gemma":[0.99917525,0.00010099152,0.000059377384,0.0001499276,0.00045994058,0.000054435757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053486286,0.0011363578,0.0008295477,0.0048126453,0.0012050058,0.0021922865,0.0010015515,0.0010183569,0.0074396986],"category_scores_gemma":[0.0012811493,0.00045986206,0.001213925,0.0032900104,0.0004966458,0.0008449604,0.0010119413,0.0008244605,0.0057212478],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031121378,0.00015258053,0.0025979823,0.00021857173,0.00011766639,0.00016007543,0.00019960848,0.008676391,0.21416342,0.0038323659,0.009524537,0.7600456],"study_design_scores_gemma":[0.00004665291,0.00018823541,0.021689914,0.000044451353,0.00016773159,0.0007275242,0.00054099975,0.5583203,0.36507794,0.007943826,0.04512144,0.00013096303],"about_ca_topic_score_codex":0.0060287514,"about_ca_topic_score_gemma":0.008250019,"teacher_disagreement_score":0.0074396986,"about_ca_system_score_codex":0.0006103005,"about_ca_system_score_gemma":0.001487358,"threshold_uncertainty_score":0.024888277},"labels":[],"label_agreement":null},{"id":"W1968285409","doi":"10.1016/j.mineng.2013.09.019","title":"Modeling ball impact on the wet mill liners and its application in predicting mill magnetic liner performance","year":2013,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hudbay Minerals (Canada)","funders":"","keywords":"Mill; Ball mill; Ball (mathematics); Grinding; Engineering; Buoyancy; Drag; Mechanical engineering; Mechanics; Mathematics; Physics; Aerospace engineering; Geometry","score_opus":0.00852584576309135,"score_gpt":0.1969667220059928,"score_spread":0.18844087624290146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968285409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8969497,0.00035973228,0.09015781,0.000135135,0.000040727744,0.00008955853,0.00044304828,0.0010549048,0.010769309],"genre_scores_gemma":[0.9950545,0.000094217925,0.002995485,0.000008470698,0.0000037569182,0.000015597734,0.00011499694,0.0000672688,0.0016457831],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997272,0.000029097848,0.000012128156,0.00004460353,0.00014892522,0.000037919708],"domain_scores_gemma":[0.99931884,0.00031498005,0.000097668715,0.000059832564,0.00016583536,0.000042878542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034569207,0.0006016994,0.00075947336,0.0005416726,0.00054922234,0.0010369148,0.00089349714,0.0012383,0.0025933168],"category_scores_gemma":[0.0014878701,0.00050366746,0.0005366092,0.00058981904,0.00041298015,0.00077076536,0.00050738937,0.00056014454,0.00073763874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020774012,0.00006536234,0.006663898,0.00006343273,0.000018834931,0.000120633085,0.00004544366,0.9660013,0.016845858,0.000348062,0.00027830928,0.00934118],"study_design_scores_gemma":[0.0000042391007,0.00003988738,0.0017418362,0.0000013533871,0.000003704942,0.000010197529,0.000009129908,0.99435246,0.0036626814,0.00006453796,0.00010596055,0.000004022045],"about_ca_topic_score_codex":0.013838449,"about_ca_topic_score_gemma":0.011895614,"teacher_disagreement_score":0.013838449,"about_ca_system_score_codex":0.0010416514,"about_ca_system_score_gemma":0.000706211,"threshold_uncertainty_score":0.027515769},"labels":[],"label_agreement":null},{"id":"W1968301883","doi":"10.1007/s00128-003-9096-2","title":"Caged Pearl Dace ( Semotilus margarita ) as Sentinels for Gold Mining Wastes in Environmental Effects Monitoring","year":2004,"lang":"en","type":"article","venue":"Bulletin of Environmental Contamination and Toxicology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; University of Manitoba","funders":"","keywords":"Ecotoxicology; Pearl; Environmental science; Environmental chemistry; Fishery; Fish <Actinopterygii>; Chemistry; Biology; Geography","score_opus":0.005310257863032046,"score_gpt":0.19926971539032692,"score_spread":0.19395945752729488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968301883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933396,0.001143192,0.0036405602,0.00009039181,0.00003808271,0.000058259684,0.0001651668,0.00006452228,0.001460145],"genre_scores_gemma":[0.9722145,0.0007833037,0.022268979,0.00016636838,0.000015073387,0.00009160533,0.0003312141,0.000022306403,0.004106688],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99960166,0.00015601162,0.000016667795,0.000098583536,0.00007911677,0.000047993977],"domain_scores_gemma":[0.9994655,0.00012058486,0.00009117853,0.000053505177,0.00010659169,0.00016258174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005921481,0.0003892432,0.00039256518,0.0004110844,0.00030262265,0.00047059424,0.0004525123,0.0006740273,0.0011548266],"category_scores_gemma":[0.0006098409,0.00023808477,0.00015415173,0.0002208688,0.00029201523,0.0005835854,0.00044174131,0.00053560437,0.00039041176],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005722571,0.00016985269,0.014515945,0.0001048059,0.000025448022,0.00009847678,0.00008966849,0.00024426784,0.9755756,0.000149999,0.00018413016,0.008269506],"study_design_scores_gemma":[0.00013321445,0.006014114,0.12966952,0.000051893923,0.00033307725,0.0020131315,0.0009299522,0.012977131,0.84061396,0.000346803,0.006870443,0.000046739482],"about_ca_topic_score_codex":0.0010270479,"about_ca_topic_score_gemma":0.006462363,"teacher_disagreement_score":0.0011548266,"about_ca_system_score_codex":0.0002791827,"about_ca_system_score_gemma":0.0001894235,"threshold_uncertainty_score":0.0038633347},"labels":[],"label_agreement":null},{"id":"W1969921537","doi":"10.1007/s10706-008-9172-9","title":"Assessment and Control of Ore Dilution in Long Hole Mining: Case Studies","year":2008,"lang":"en","type":"article","venue":"Geotechnical and Geological Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Stoping; Dilution; Mining engineering; Hydrogeology; Engineering; Excavation; Geotechnical engineering; Volume (thermodynamics)","score_opus":0.021251139063672958,"score_gpt":0.2545579644857909,"score_spread":0.23330682542211792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969921537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99418086,0.000080835714,0.0026379193,0.000062512794,0.000003143693,0.00011914886,0.00003950431,0.000026494208,0.0028496159],"genre_scores_gemma":[0.995887,0.000058011337,0.002964379,0.000007575306,0.0000020204448,0.00001891317,0.00002599973,0.0000039811694,0.0010321904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99883777,0.0004613665,0.00006221686,0.00011769003,0.00034966975,0.00017120776],"domain_scores_gemma":[0.99652606,0.0024687857,0.00026780862,0.00018624958,0.00041981362,0.00013135024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020104626,0.0005624517,0.0005937175,0.0008103016,0.001050665,0.0013453126,0.0011405656,0.0019782637,0.001003381],"category_scores_gemma":[0.0042080665,0.00029221966,0.00045465276,0.00070936815,0.0011926771,0.0009933283,0.00088720623,0.00045547457,0.00009832896],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005202308,0.0069788597,0.15553199,0.00076591334,0.00025228673,0.012247901,0.003050237,0.6138716,0.045156278,0.007863442,0.0012964724,0.1477827],"study_design_scores_gemma":[0.0008724987,0.009360277,0.09164429,0.00010369624,0.00027667027,0.0018322583,0.0052423514,0.7899374,0.08758998,0.006801452,0.006152296,0.00018690103],"about_ca_topic_score_codex":0.025547063,"about_ca_topic_score_gemma":0.043449663,"teacher_disagreement_score":0.025547063,"about_ca_system_score_codex":0.002088988,"about_ca_system_score_gemma":0.0011843313,"threshold_uncertainty_score":0.050796688},"labels":[],"label_agreement":null},{"id":"W1972000820","doi":"10.1002/ppsc.200390038","title":"Analysis of Single Particle Attrition during Impact Experiments<sup>†</sup>","year":2003,"lang":"en","type":"article","venue":"Particle & Particle Systems Characterization","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Breakage; Attrition; Abrasion (mechanical); Particle (ecology); Materials science; Particle size; Fracture (geology); Composite material; Particle-size distribution; Mechanics; Chemistry; Physics; Geology","score_opus":0.026624374235508914,"score_gpt":0.25485148337569463,"score_spread":0.2282271091401857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972000820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899832,0.00037162282,0.008054683,0.000021958904,0.0000176927,0.000055855842,0.00035001227,0.00011831201,0.0010266321],"genre_scores_gemma":[0.9932238,0.00020210349,0.0049617295,0.000018090603,0.0000067036103,0.000042564378,0.0004022099,0.000041549756,0.0011012835],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99962723,0.00002854452,0.000019321522,0.00004223997,0.0002279507,0.000054693715],"domain_scores_gemma":[0.9985892,0.00064784515,0.00012694103,0.000103656355,0.0004833798,0.00004888928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050622487,0.00023779484,0.00041864841,0.0006564035,0.00037513467,0.00022354483,0.0003539665,0.0003289322,0.002977209],"category_scores_gemma":[0.0007572724,0.00014171899,0.00022656028,0.00048243636,0.00024899453,0.0002852831,0.00022061962,0.00040699754,0.00047126715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033521006,0.00004032005,0.0026091826,0.00010655265,0.000013209918,0.00016437509,0.00017218429,0.0005105624,0.9846808,0.00004834356,0.00012795697,0.011191154],"study_design_scores_gemma":[0.000006017651,0.0004521913,0.021878513,0.0000062740023,0.000016433756,0.00022077972,0.00013693277,0.0047951625,0.9714129,0.00003092965,0.0010318051,0.000012024867],"about_ca_topic_score_codex":0.00079048495,"about_ca_topic_score_gemma":0.0011604114,"teacher_disagreement_score":0.002977209,"about_ca_system_score_codex":0.00020906523,"about_ca_system_score_gemma":0.00011524132,"threshold_uncertainty_score":0.009959817},"labels":[],"label_agreement":null},{"id":"W1972009790","doi":"10.1016/j.mineng.2004.06.021","title":"Improved gyratory crushing operation by the assessment of liner wear and mantle profile redesign","year":2004,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crusher; Downtime; Comminution; Engineering; Mining engineering; Copper mine; Geology; Mechanical engineering; Metallurgy; Copper; Materials science; Reliability engineering","score_opus":0.007279260891748823,"score_gpt":0.21769430659113845,"score_spread":0.21041504569938962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972009790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985967,0.00012703156,0.011812982,0.000035833662,0.000014311781,0.000043935524,0.0002989953,0.0005304943,0.0011694076],"genre_scores_gemma":[0.9925809,0.000047542453,0.0064097135,0.0000098945375,0.0000031643515,0.0000109023385,0.0002136119,0.000063410036,0.00066083216],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997085,0.000039140068,0.000020345859,0.00006704853,0.00013394988,0.000031033316],"domain_scores_gemma":[0.9987846,0.00023366543,0.00018341676,0.000226976,0.0005092059,0.00006222666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007047172,0.0006805115,0.00044816604,0.0006492015,0.00039060423,0.00082325353,0.0004464147,0.00071628083,0.0012647664],"category_scores_gemma":[0.0021557554,0.00025617197,0.0002822848,0.00044515159,0.00024311992,0.000715469,0.00039884183,0.0004369019,0.00034316405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025899897,0.00019117787,0.11912808,0.00023075673,0.00008516524,0.00016866303,0.00054678833,0.024889827,0.7332663,0.00014210846,0.00038422635,0.11837697],"study_design_scores_gemma":[0.00008062606,0.001829743,0.43242136,0.000021205753,0.0001832496,0.00031680256,0.00032862145,0.09991575,0.46179053,0.00016665051,0.0028429797,0.00010244048],"about_ca_topic_score_codex":0.007546738,"about_ca_topic_score_gemma":0.015560433,"teacher_disagreement_score":0.007546738,"about_ca_system_score_codex":0.00042386272,"about_ca_system_score_gemma":0.00047091465,"threshold_uncertainty_score":0.0150055885},"labels":[],"label_agreement":null},{"id":"W1974592479","doi":"10.4236/jmmce.2014.21007","title":"Mineralogical Characterization of Sieved and Un-Sieved Samples","year":2014,"lang":"en","type":"article","venue":"Journal of Minerals and Materials Characterization and Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Characterization (materials science); Fractionation; Particle size; Sample size determination; Mineralogy; Materials science; Liberation; Analytical Chemistry (journal); Chromatography; Chemistry; Mathematics; Nanotechnology; Statistics","score_opus":0.008750176886325735,"score_gpt":0.18048592316637774,"score_spread":0.171735746280052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974592479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792812,0.0011763857,0.012882741,0.000054250882,0.000053778364,0.00011224835,0.001664211,0.00025201408,0.0045231967],"genre_scores_gemma":[0.9505221,0.0017498921,0.03281204,0.00014816482,0.000023477107,0.00018741634,0.0037505042,0.0004426769,0.01036363],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995559,0.00002459845,0.00003942745,0.00008720159,0.00025816265,0.000034659777],"domain_scores_gemma":[0.9994192,0.00011950601,0.0000568526,0.00006615919,0.0003045753,0.000033833694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041962208,0.00031652112,0.0004396893,0.0018917144,0.00052920124,0.000448722,0.00038867144,0.00037812386,0.0023884154],"category_scores_gemma":[0.001001146,0.00017743306,0.0002699976,0.0010566581,0.00040997783,0.00035481635,0.00023430376,0.00043828177,0.0004919746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022411006,0.000056395907,0.0025165756,0.00010868076,0.00001619469,0.00011858661,0.00016123102,0.00027011702,0.9883973,0.00011718694,0.00011529587,0.00789845],"study_design_scores_gemma":[0.000013284004,0.0002467766,0.046472587,0.000026848249,0.00004680373,0.00028386313,0.00033470723,0.001662223,0.9435313,0.0001257465,0.0072403057,0.000015631676],"about_ca_topic_score_codex":0.0013262775,"about_ca_topic_score_gemma":0.003945847,"teacher_disagreement_score":0.0023884154,"about_ca_system_score_codex":0.0002761832,"about_ca_system_score_gemma":0.0002393977,"threshold_uncertainty_score":0.007990062},"labels":[],"label_agreement":null},{"id":"W1976739238","doi":"10.1016/j.mineng.2005.05.014","title":"A new method for determination of preg-robbing in gold ores","year":2005,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Barrick Gold Corporation","keywords":"Gold ore; Metallurgy; Mineralogy; Materials science; Chemistry","score_opus":0.013030107388705924,"score_gpt":0.2670701194749581,"score_spread":0.2540400120862522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976739238","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1473416,0.019713689,0.80719554,0.0010530408,0.001308755,0.0005794606,0.0011023278,0.002644874,0.019060703],"genre_scores_gemma":[0.32195082,0.006568941,0.61649203,0.00073738734,0.00020120885,0.00069384516,0.0013183862,0.00033306904,0.051704284],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999044,0.00017164699,0.000041037172,0.00029322619,0.00035843832,0.00009155378],"domain_scores_gemma":[0.9992518,0.00026634132,0.00005710503,0.00008740165,0.00024027858,0.000097075674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007740957,0.0009968883,0.00067881314,0.0017530433,0.00096377323,0.00060678925,0.00124976,0.0016927078,0.0026884393],"category_scores_gemma":[0.00076146657,0.000564151,0.0005091565,0.00055913423,0.0008497722,0.00089148636,0.0007870469,0.0020963766,0.0017935102],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007758696,0.000031968142,0.00029666937,0.00017824244,0.000024397343,0.000059990358,0.000051859337,0.00007680051,0.98248017,0.00042012552,0.00042712365,0.015875103],"study_design_scores_gemma":[0.000020331425,0.00021626007,0.0017538111,0.000024574081,0.00004483413,0.00062856724,0.000058101843,0.0022972364,0.9786589,0.00035853573,0.0159006,0.00003836637],"about_ca_topic_score_codex":0.0021391546,"about_ca_topic_score_gemma":0.006988259,"teacher_disagreement_score":0.0026884393,"about_ca_system_score_codex":0.00057428895,"about_ca_system_score_gemma":0.0010133923,"threshold_uncertainty_score":0.008993745},"labels":[],"label_agreement":null},{"id":"W1978914461","doi":"10.1016/j.mineng.2006.10.006","title":"The campaign survey model – A case study at Raglan mine, Québec","year":2006,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Sampling (signal processing); Concentrator; Benchmark (surveying); Drill; Environmental science; Mineral processing; Engineering; Process engineering; Geology; Metallurgy; Mechanical engineering; Filter (signal processing); Materials science; Telecommunications","score_opus":0.01507878986376776,"score_gpt":0.2126541259416943,"score_spread":0.19757533607792654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978914461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95657706,0.00021987665,0.008912332,0.0018905583,0.000032594406,0.0003644918,0.009149784,0.00034374214,0.022509476],"genre_scores_gemma":[0.97903866,0.00013868204,0.0046714325,0.00015432505,0.000007523401,0.00012097655,0.0028042968,0.00005356723,0.013010528],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.9994618,0.00021888473,0.000013948506,0.00009237447,0.000055616427,0.00015732093],"domain_scores_gemma":[0.9981736,0.00089064107,0.000110591456,0.00012594386,0.0005625416,0.00013673659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012910092,0.0005811196,0.0006292675,0.0006018669,0.0012323721,0.0015123138,0.0021979662,0.002311402,0.005347097],"category_scores_gemma":[0.003029335,0.00053909235,0.00056562544,0.0015686234,0.000905419,0.00096185686,0.0005230341,0.000787872,0.00052108394],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048352333,0.0004704515,0.060550302,0.00012385647,0.00013410879,0.0009430204,0.000438499,0.90059155,0.001295438,0.008162777,0.0136091625,0.013197387],"study_design_scores_gemma":[0.00017409859,0.00011589307,0.026061758,0.000029696943,0.00005557683,0.00006241018,0.0012035696,0.9657205,0.000451318,0.0010513917,0.0050146272,0.000059121183],"about_ca_topic_score_codex":0.97053087,"about_ca_topic_score_gemma":0.9703405,"teacher_disagreement_score":0.029469132,"about_ca_system_score_codex":0.013589628,"about_ca_system_score_gemma":0.008656544,"threshold_uncertainty_score":0.09860009},"labels":[],"label_agreement":null},{"id":"W1979934682","doi":"10.1021/ie049667a","title":"Feature Selection Methods for Multiphase Reactors Data Classification","year":2005,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Feature selection; Computer science; Classifier (UML); Artificial intelligence; Pattern recognition (psychology); Dimensionality reduction; Data mining; k-nearest neighbors algorithm; Machine learning","score_opus":0.3336692405176088,"score_gpt":0.47221174863707616,"score_spread":0.13854250811946733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979934682","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009414798,0.00052339805,0.9881281,0.00013835629,0.000033093973,0.00013427547,0.00019680528,0.0011611639,0.00026999376],"genre_scores_gemma":[0.17785154,0.0005606809,0.81836104,0.00010020113,0.0001091141,0.0008026984,0.0010472222,0.00015251276,0.0010149281],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978332,0.0008006455,0.00024077503,0.00032921377,0.00069293956,0.00010331605],"domain_scores_gemma":[0.995693,0.0028418084,0.00030067176,0.00029566017,0.0008120012,0.000056895304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037807834,0.001343703,0.0018045796,0.003058317,0.0006081237,0.00096896326,0.0010315522,0.0009690413,0.0015620162],"category_scores_gemma":[0.006780857,0.0003441387,0.0013313954,0.0028048682,0.00046225844,0.0007289369,0.0006769094,0.0010914161,0.0008347955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023203029,0.00017930371,0.0017259734,0.00032372941,0.00017009568,0.00016804539,0.00013942165,0.100003965,0.012637701,0.0038548307,0.0028871817,0.87767774],"study_design_scores_gemma":[0.000062577674,0.0001521407,0.00255309,0.000045663546,0.000055863584,0.00014579539,0.000069049456,0.9721057,0.0119580375,0.007964106,0.0048432383,0.000044684344],"about_ca_topic_score_codex":0.0015504609,"about_ca_topic_score_gemma":0.0013137446,"teacher_disagreement_score":0.0037807834,"about_ca_system_score_codex":0.00057015265,"about_ca_system_score_gemma":0.00084913603,"threshold_uncertainty_score":0.019994915},"labels":[],"label_agreement":null},{"id":"W1981101636","doi":"10.1109/icarcv.2014.7064484","title":"Computer vision and applications in Canadian oil sands","year":2014,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Oil sands; General partnership; Ranking (information retrieval); Process (computing); Petroleum industry; Computer science; Engineering; Business; Artificial intelligence; Geography; Archaeology; Finance","score_opus":0.003748881840750687,"score_gpt":0.20041980375487867,"score_spread":0.196670921914128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981101636","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04664054,0.22804882,0.32462552,0.05647604,0.0051042996,0.00044938683,0.0022730692,0.003999459,0.3323829],"genre_scores_gemma":[0.4713925,0.15521152,0.1851227,0.0030048157,0.0023217702,0.00021261511,0.0026724085,0.00041725175,0.17964438],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988808,0.000121699995,0.000032079108,0.00015058587,0.00063341606,0.0001814636],"domain_scores_gemma":[0.99898857,0.00023157481,0.00003322863,0.000053982938,0.0005942673,0.00009843074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010655569,0.0007140858,0.00037991858,0.0026773354,0.0013469658,0.0027441306,0.0011472962,0.0017575452,0.007343741],"category_scores_gemma":[0.0032134538,0.00032767613,0.00037253986,0.005091278,0.0016451096,0.001319573,0.0011337067,0.0015363231,0.0019232094],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009980521,0.00005969841,0.0019500767,0.00050891266,0.000046424582,0.0005536074,0.00080744724,0.029990183,0.005301904,0.10791649,0.2702663,0.5824992],"study_design_scores_gemma":[0.000018524148,0.000033051947,0.00885002,0.00031698385,0.000030803338,0.00077460223,0.0015451167,0.16640384,0.0039219703,0.07634431,0.74165046,0.000110363806],"about_ca_topic_score_codex":0.7126824,"about_ca_topic_score_gemma":0.7114276,"teacher_disagreement_score":0.28731757,"about_ca_system_score_codex":0.012001695,"about_ca_system_score_gemma":0.0070966505,"threshold_uncertainty_score":0.57801926},"labels":[],"label_agreement":null},{"id":"W1982441855","doi":"10.1007/s11837-004-0093-7","title":"Gold process mineralogy: Objectives, techniques, and applications","year":2004,"lang":"en","type":"article","venue":"JOM","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Gold ore; Mineral processing; Metallurgy; Sulfide minerals; Sulfide; Mineral; Materials science","score_opus":0.005712827937444281,"score_gpt":0.230466142339023,"score_spread":0.2247533144015787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982441855","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36172217,0.12011452,0.45260686,0.0039756172,0.0003704868,0.00073571585,0.0007008808,0.0009999233,0.058773946],"genre_scores_gemma":[0.666085,0.045400783,0.26086354,0.00036331502,0.00030683575,0.00027134293,0.00041056125,0.000200635,0.026098052],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990575,0.00009346091,0.0000634295,0.00015379075,0.0005642445,0.00006751713],"domain_scores_gemma":[0.9993686,0.000103709375,0.00011907791,0.000050938095,0.00031337174,0.000044317447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021785465,0.00078745245,0.00076302356,0.0022589464,0.0008984122,0.0017421544,0.0007217729,0.0012282091,0.0009903574],"category_scores_gemma":[0.0008699657,0.0003407633,0.00038380368,0.0020884264,0.0013168048,0.0015474637,0.00096461695,0.0008784395,0.00038060846],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044306973,0.00034000844,0.015270701,0.004195522,0.00004520524,0.00018819394,0.0006585766,0.006765133,0.38428053,0.034524247,0.0017942691,0.5514945],"study_design_scores_gemma":[0.00005526108,0.0010604372,0.03289673,0.0003064352,0.000114587085,0.0012266997,0.0010021068,0.013918163,0.77626145,0.021305744,0.15176195,0.00009049106],"about_ca_topic_score_codex":0.002280055,"about_ca_topic_score_gemma":0.0069319154,"teacher_disagreement_score":0.002280055,"about_ca_system_score_codex":0.0017790383,"about_ca_system_score_gemma":0.0031218922,"threshold_uncertainty_score":0.012907863},"labels":[],"label_agreement":null},{"id":"W1982936353","doi":"10.5539/mas.v2n5p80","title":"Experimental Investigation on Relationship between Sedimentation Rate Constants of Solid Materials","year":2008,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sedimentation; Mineralogy; Slurry; Calcium carbonate; Materials science; Constant (computer programming); Particle size; Reaction rate constant; Carbonate; Chemistry; Geology; Metallurgy; Composite material; Kinetics; Physics; Physical chemistry; Geomorphology; Sediment","score_opus":0.08383809315095182,"score_gpt":0.28650986735288636,"score_spread":0.20267177420193455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982936353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9569981,0.0039339145,0.03287874,0.00017180698,0.00014094177,0.00014295623,0.0007727776,0.00028782655,0.0046729934],"genre_scores_gemma":[0.9735594,0.0022282898,0.021382088,0.00004058437,0.000029659614,0.00011103793,0.00052908505,0.00005467884,0.002065271],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99903774,0.00010587482,0.000110458794,0.0002658937,0.00039655736,0.000083486564],"domain_scores_gemma":[0.9967578,0.0014507108,0.00044789657,0.00027918845,0.0009813624,0.000083150306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014516015,0.00047030093,0.00044651516,0.00067223137,0.0003891677,0.00038283935,0.00065272383,0.00049646024,0.0016206276],"category_scores_gemma":[0.0045634983,0.0003193232,0.000232546,0.0010415557,0.0003386653,0.00062971475,0.00021461133,0.0009262684,0.0004592175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049743644,0.00017711862,0.0033606256,0.00047574434,0.000024527422,0.00016003301,0.00038962194,0.001511291,0.9763397,0.0006980396,0.00029456735,0.01607121],"study_design_scores_gemma":[0.00002009519,0.0005935926,0.0050479313,0.00002143576,0.000030981628,0.00015245461,0.000094652634,0.0043987585,0.98684573,0.00024641192,0.0025191356,0.00002885721],"about_ca_topic_score_codex":0.0008557718,"about_ca_topic_score_gemma":0.000972782,"teacher_disagreement_score":0.0016206276,"about_ca_system_score_codex":0.00046781317,"about_ca_system_score_gemma":0.00032584718,"threshold_uncertainty_score":0.00767684},"labels":[],"label_agreement":null},{"id":"W1983999227","doi":"10.1520/gtj12695","title":"A Convenient Graphical Representation of Compaction Data","year":2006,"lang":"en","type":"article","venue":"Geotechnical Testing Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Compaction; Geotechnical engineering; Representation (politics); Geology; Computer science","score_opus":0.07648638737725602,"score_gpt":0.2954321777504785,"score_spread":0.21894579037322245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983999227","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037414653,0.00040456757,0.86724055,0.00078674493,0.0003936147,0.00036953783,0.040353384,0.07088955,0.015820598],"genre_scores_gemma":[0.10678617,0.0011945363,0.8097108,0.00096780056,0.00043453905,0.0014197339,0.04941192,0.009967621,0.020106811],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99870896,0.00039663978,0.00019949094,0.00022208305,0.00039537082,0.00007742295],"domain_scores_gemma":[0.9938496,0.0031056388,0.00048017886,0.0012028245,0.0011931648,0.00016868889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014415282,0.00227714,0.0010608677,0.00511543,0.00042852777,0.004266832,0.0017662393,0.0009782643,0.112735],"category_scores_gemma":[0.011543918,0.0005509678,0.001012438,0.0039545866,0.00046329794,0.0025183908,0.0016651454,0.0014683462,0.029649924],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013245464,0.00037659457,0.0029367323,0.002437422,0.0002099907,0.0019693596,0.0012478438,0.03608517,0.027652847,0.14992282,0.2979276,0.47790912],"study_design_scores_gemma":[0.00030529927,0.00044330786,0.003363204,0.0005491264,0.00012766579,0.0022737712,0.00036843473,0.11229314,0.016585618,0.10229522,0.7611309,0.00026425632],"about_ca_topic_score_codex":0.0012839657,"about_ca_topic_score_gemma":0.0011638158,"teacher_disagreement_score":0.112735,"about_ca_system_score_codex":0.00046041427,"about_ca_system_score_gemma":0.00056569476,"threshold_uncertainty_score":0.37713617},"labels":[],"label_agreement":null},{"id":"W1984153906","doi":"10.1051/jp4:20030245","title":"Canadian metal mining environmental effects monitoring program","year":2003,"lang":"en","type":"article","venue":"Journal de Physique IV (Proceedings)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Metal; Environmental monitoring; Environmental science; Environmental chemistry; Chemistry; Materials science; Metallurgy; Environmental engineering","score_opus":0.006233792124029841,"score_gpt":0.2117718163445998,"score_spread":0.20553802422056996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984153906","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19626285,0.0048751645,0.022824707,0.020225827,0.00091463135,0.0020523134,0.2068376,0.003166048,0.54284084],"genre_scores_gemma":[0.37077066,0.0040805195,0.04191067,0.0020625268,0.00012149416,0.0006345448,0.064639635,0.00048197404,0.515298],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9985643,0.00005934447,0.000026986016,0.00012556804,0.0010468126,0.00017697735],"domain_scores_gemma":[0.99491334,0.000090001275,0.00012879148,0.00012120182,0.004445968,0.00030072755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009253875,0.0005941508,0.00033434678,0.0031868387,0.004369473,0.0010972834,0.0018362673,0.0005494768,0.015238264],"category_scores_gemma":[0.0017203817,0.00037166296,0.0003378926,0.003360845,0.00038982605,0.00043323403,0.00089088315,0.0005551848,0.00221659],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000446307,0.00033413465,0.103913136,0.000351635,0.00009900021,0.00028921754,0.00054391444,0.0037737957,0.007524543,0.0063660126,0.55121845,0.32513988],"study_design_scores_gemma":[0.00008855835,0.000095585434,0.32335976,0.000111926136,0.000085749496,0.00014831468,0.00067374145,0.007210026,0.007854063,0.00085549214,0.65944684,0.000070018286],"about_ca_topic_score_codex":0.99212426,"about_ca_topic_score_gemma":0.9975171,"teacher_disagreement_score":0.029557282,"about_ca_system_score_codex":0.029557282,"about_ca_system_score_gemma":0.10257202,"threshold_uncertainty_score":0.21445405},"labels":[],"label_agreement":null},{"id":"W1986385447","doi":"10.1016/j.wear.2009.01.003","title":"The steel wheel abrasion test (SWAT): A tool to study wear, friction and ore breakage in the mining industry","year":2009,"lang":"en","type":"article","venue":"Wear","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Breakage; Abrasion (mechanical); Mill; Materials science; Metallurgy; Comminution; Attrition; Composite material; Engineering; Mechanical engineering","score_opus":0.011338968170385431,"score_gpt":0.23829120046973207,"score_spread":0.22695223229934663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986385447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9670327,0.0017961168,0.026962303,0.00005422347,0.000082007144,0.00015926572,0.0011275621,0.00028447586,0.0025014307],"genre_scores_gemma":[0.9780442,0.00092010305,0.016204769,0.00007644318,0.000031552423,0.00010672562,0.00091491686,0.000068864996,0.0036323655],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982571,0.00016215397,0.00010440792,0.00014080123,0.0012597501,0.000075788914],"domain_scores_gemma":[0.9981103,0.0005123506,0.00040910766,0.0001449582,0.0006845507,0.00013882517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008531677,0.0006723195,0.0009402076,0.0026031705,0.00055049383,0.00036395213,0.00084542186,0.0007057956,0.001283523],"category_scores_gemma":[0.0014905964,0.0003194828,0.00080338935,0.0016222062,0.000479374,0.00060092285,0.0005348073,0.0004890285,0.0004950603],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001281497,0.0004564279,0.09463809,0.0006410887,0.0001852291,0.00029719612,0.00045281745,0.00075068965,0.8390646,0.00026723352,0.0010409544,0.060924184],"study_design_scores_gemma":[0.00007896986,0.008970316,0.5466955,0.000045075212,0.00017052774,0.0028443933,0.0006925316,0.01031799,0.4252611,0.00041578154,0.0043916563,0.000116264644],"about_ca_topic_score_codex":0.0039787726,"about_ca_topic_score_gemma":0.008570736,"teacher_disagreement_score":0.0039787726,"about_ca_system_score_codex":0.00020343046,"about_ca_system_score_gemma":0.00033979592,"threshold_uncertainty_score":0.007911205},"labels":[],"label_agreement":null},{"id":"W1988455038","doi":"10.1190/1.2831677","title":"Exploration 07—A decennial review of mining geophysics 1997–2007","year":2008,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geophysics; Geology","score_opus":0.044846761792938776,"score_gpt":0.25882447689818716,"score_spread":0.21397771510524838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988455038","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032963115,0.97496665,0.0008229705,0.006033417,0.010107947,0.000022907561,0.00016177163,0.000054242497,0.007500521],"genre_scores_gemma":[0.0016798032,0.98023754,0.00077852735,0.002268142,0.0032549226,0.000028961285,0.0003945925,0.00006137439,0.011296222],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99796814,0.00026353603,0.00032750895,0.00020105075,0.001099364,0.00014035162],"domain_scores_gemma":[0.9893847,0.0015534321,0.0012468371,0.00024174161,0.006742385,0.0008309778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005154273,0.0010908232,0.0009667468,0.009893774,0.00076728617,0.0037074308,0.001364677,0.0014792968,0.010002203],"category_scores_gemma":[0.008124525,0.000614534,0.0004788091,0.011181747,0.00095190876,0.0038914795,0.0017890646,0.0022333462,0.0072514787],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006780114,0.000044432178,0.0004975772,0.0060772086,0.000038376056,0.00013161004,0.00014634729,0.00029006333,0.00117523,0.0033072187,0.42293963,0.5652845],"study_design_scores_gemma":[0.0000014713896,0.0000151705235,0.0006007583,0.0012421963,0.000008538499,0.00008168293,0.000045997775,0.000016505355,0.00017350027,0.00013485386,0.9976738,0.000005473193],"about_ca_topic_score_codex":0.008542141,"about_ca_topic_score_gemma":0.018160086,"teacher_disagreement_score":0.010002203,"about_ca_system_score_codex":0.0049714595,"about_ca_system_score_gemma":0.00909336,"threshold_uncertainty_score":0.036070645},"labels":[],"label_agreement":null},{"id":"W1988563889","doi":"10.2166/wst.2007.786","title":"Hindered and compression settling: parameter measurement and modelling","year":2007,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"EnviroSim (Canada); Environment and Climate Change Canada","funders":"University of Guelph","keywords":"Settling; Settling time; Scale (ratio); Range (aeronautics); Function (biology); Computer science; Mathematics; Engineering; Control engineering; Environmental engineering; Step response; Physics","score_opus":0.03009414629765265,"score_gpt":0.22878076286465976,"score_spread":0.19868661656700712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988563889","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22997692,0.0014455967,0.7586394,0.00014906934,0.000027365188,0.00019528586,0.0007955959,0.0024320888,0.006338678],"genre_scores_gemma":[0.9371274,0.00071303657,0.059236985,0.000019876716,0.000010776248,0.00015230381,0.00070017035,0.000067114255,0.0019723577],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993666,0.00006047398,0.000042598862,0.0001311707,0.0003718139,0.00002728702],"domain_scores_gemma":[0.9994948,0.0002405193,0.0000562228,0.000101819554,0.00009714633,0.000009457877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076374813,0.0005854844,0.0006319739,0.0010375842,0.00026723504,0.0009556919,0.0011421372,0.0011245956,0.00055984245],"category_scores_gemma":[0.002044776,0.00029953208,0.0004494206,0.0013247082,0.00039516625,0.0009900107,0.0003847701,0.00047583366,0.00041180744],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023903516,0.00016067846,0.010681463,0.00048537517,0.00005422777,0.00022525777,0.00028141544,0.6253657,0.16431455,0.006569071,0.0009136418,0.19070956],"study_design_scores_gemma":[0.000009754796,0.000086648964,0.005920905,0.000014091816,0.000014194865,0.00013312181,0.00002468478,0.93357384,0.056225304,0.0014382147,0.002522752,0.00003638501],"about_ca_topic_score_codex":0.004096183,"about_ca_topic_score_gemma":0.002373019,"teacher_disagreement_score":0.004096183,"about_ca_system_score_codex":0.0008846658,"about_ca_system_score_gemma":0.00060513086,"threshold_uncertainty_score":0.008144677},"labels":[],"label_agreement":null},{"id":"W1989215982","doi":"10.1002/cjce.21915","title":"Developing a novel fibre high speed photography method for investigating solid volume fraction in a 3D spouted bed","year":2013,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"High-speed photography; Halogen lamp; Volume (thermodynamics); High-speed camera; Materials science; Calibration; Particle (ecology); Photography; Image processing; Volume fraction; Optics; Computer science; Computer vision; Physics; Geology; Composite material","score_opus":0.016463916442934014,"score_gpt":0.22981864372735172,"score_spread":0.2133547272844177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989215982","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21183759,0.0022329593,0.78311557,0.00011113164,0.000089415655,0.00023757512,0.00021273809,0.0008200606,0.0013428623],"genre_scores_gemma":[0.19138616,0.0015458219,0.80494606,0.00002885949,0.000016791135,0.0001618569,0.00018128908,0.000047525245,0.0016856362],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996488,0.000029570248,0.000015805126,0.00007929333,0.00019915264,0.00002735145],"domain_scores_gemma":[0.99965537,0.000096708136,0.00005881256,0.00004268357,0.00012218597,0.000024264831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000659532,0.00060577306,0.00037502937,0.0014358527,0.0002907077,0.00044393115,0.0006783395,0.0006426304,0.00081610127],"category_scores_gemma":[0.00049768906,0.00043680504,0.00034091572,0.0006800357,0.0005457095,0.00080355245,0.0003876494,0.0006005638,0.0003630636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024888655,0.000022032764,0.0008266158,0.00013662716,0.000009127272,0.000063994594,0.000061717445,0.00077892514,0.9778386,0.00040508015,0.000072677525,0.019759797],"study_design_scores_gemma":[0.000016360174,0.00016959674,0.004313931,0.00001429177,0.00002155901,0.00040589736,0.000055725977,0.02044766,0.9698009,0.00014019654,0.004561969,0.000051949904],"about_ca_topic_score_codex":0.0038902597,"about_ca_topic_score_gemma":0.008004293,"teacher_disagreement_score":0.0038902597,"about_ca_system_score_codex":0.00048197806,"about_ca_system_score_gemma":0.00073426316,"threshold_uncertainty_score":0.007735193},"labels":[],"label_agreement":null},{"id":"W1989793965","doi":"10.1109/icip.2005.1530354","title":"Measurement of fine particle size with wavelet signature","year":2005,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Wavelet; Particle-size distribution; Artificial intelligence; Signature (topology); Image segmentation; Pattern recognition (psychology); Computer science; Particle size; Texture (cosmology); Segmentation; Image processing; Image texture; Image (mathematics); Algorithm; Computer vision; Mathematics; Geology; Geometry","score_opus":0.011227593934485348,"score_gpt":0.19167247043138294,"score_spread":0.18044487649689758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989793965","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56307584,0.00045155673,0.43337628,0.00010092123,0.00003824559,0.000050442308,0.0001937367,0.00061973935,0.0020932846],"genre_scores_gemma":[0.8395425,0.0002756,0.15891935,0.000053079355,0.000029785071,0.000028712673,0.00019735654,0.00008020937,0.0008734203],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996902,0.000034983088,0.000016927559,0.00006132443,0.00016564925,0.000030968273],"domain_scores_gemma":[0.99909616,0.00029068542,0.00020813894,0.00011510079,0.00021338431,0.000076419754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046410353,0.00021054292,0.00030588446,0.0015558974,0.00013836064,0.00045233354,0.00038955093,0.00057439925,0.00049924257],"category_scores_gemma":[0.0022461761,0.00023533522,0.00021047448,0.0009424309,0.0003222887,0.0013429808,0.0006238055,0.0003675722,0.00027516286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023248514,0.00006233,0.0088273985,0.00008293221,0.000027058953,0.00013040526,0.00009441035,0.0060870405,0.8834996,0.0014245916,0.00034731312,0.099184394],"study_design_scores_gemma":[0.000049046666,0.00033481498,0.06588562,0.000021849364,0.000060026618,0.0013692282,0.00010887467,0.3716285,0.554601,0.0038027517,0.0020209807,0.000117207645],"about_ca_topic_score_codex":0.00043272533,"about_ca_topic_score_gemma":0.0003854735,"teacher_disagreement_score":0.0015558974,"about_ca_system_score_codex":0.0002040959,"about_ca_system_score_gemma":0.00011745796,"threshold_uncertainty_score":0.0024544},"labels":[],"label_agreement":null},{"id":"W1990025620","doi":"10.1016/j.mineng.2004.06.020","title":"Liner wear and performance investigation of primary gyratory crushers","year":2004,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crusher; Context (archaeology); Comminution; Engineering; Mining engineering; Work (physics); Breakage; Metallurgy; Mechanical engineering; Geology; Materials science; Composite material","score_opus":0.008954712372849519,"score_gpt":0.16783617241744203,"score_spread":0.15888146004459253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990025620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99929905,0.000056163728,0.00030054897,0.0000035181456,0.000002505554,0.000006470132,0.00009465936,0.000022242555,0.00021481786],"genre_scores_gemma":[0.9974253,0.000047025063,0.00036855895,0.0000055131313,0.0000024814701,0.000004030229,0.0002039616,0.000013473987,0.001929698],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999688,0.000022544118,0.000018734005,0.00007346679,0.00014934022,0.000047948168],"domain_scores_gemma":[0.99882704,0.00021418302,0.00015543142,0.00014179251,0.0005723914,0.000089181965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028757317,0.00045926103,0.00056129147,0.00080762367,0.0005366003,0.00032893184,0.0005016238,0.00051980384,0.002349603],"category_scores_gemma":[0.00084324635,0.00022285726,0.0004598053,0.00045366268,0.00028137284,0.00025492205,0.0002574717,0.0002851148,0.00058914226],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031786936,0.00020060172,0.05766846,0.00024466868,0.00006196585,0.00047687886,0.0010168487,0.0016326101,0.90026975,0.000044036773,0.00035178137,0.034853656],"study_design_scores_gemma":[0.000032109983,0.004783404,0.6664833,0.000020405072,0.00008997862,0.0007026443,0.0008955473,0.0068509174,0.31802434,0.000033659322,0.002038232,0.000045468238],"about_ca_topic_score_codex":0.0075590904,"about_ca_topic_score_gemma":0.013296635,"teacher_disagreement_score":0.0075590904,"about_ca_system_score_codex":0.00033207642,"about_ca_system_score_gemma":0.00017878659,"threshold_uncertainty_score":0.015030205},"labels":[],"label_agreement":null},{"id":"W1991752459","doi":"10.2118/61284-ms","title":"Land Farm Design and Management in Bolivia: A Case-Study","year":2000,"lang":"en","type":"article","venue":"SPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Soil water; Groundwater; Environmental remediation; Water table; Agriculture; Water resource management; Environmental protection; Geography; Contamination; Geology","score_opus":0.053664627136304724,"score_gpt":0.26827898239850084,"score_spread":0.21461435526219613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991752459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973156,0.00037782989,0.0001255969,0.00016138269,0.000004613083,0.00010480641,0.00010709249,0.0000032028274,0.0017998348],"genre_scores_gemma":[0.9978491,0.0005056312,0.00038593935,0.00006355931,0.000004315571,0.00005599758,0.00007713074,0.0000036916765,0.0010546931],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904937,0.0002835436,0.000037483645,0.00007689105,0.00008882948,0.00046387428],"domain_scores_gemma":[0.9992561,0.00016937946,0.00027430273,0.00005701777,0.0000660958,0.00017711111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008056297,0.0006110333,0.00040632006,0.0016036219,0.0022316372,0.0019421948,0.0012886088,0.0012142279,0.0025139626],"category_scores_gemma":[0.0020055424,0.00044178325,0.00045092017,0.0020136149,0.0014701182,0.0005524152,0.0014676298,0.0007508454,0.0002108115],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000345623,0.003787138,0.81437755,0.0006427904,0.00015376223,0.107943684,0.02390099,0.0031482002,0.0023001127,0.002527575,0.001442031,0.03943058],"study_design_scores_gemma":[0.00010613585,0.0018469467,0.80891967,0.0008296443,0.00011606248,0.03673342,0.13278016,0.0023397768,0.0012279258,0.0007108723,0.014322576,0.00006678753],"about_ca_topic_score_codex":0.08055141,"about_ca_topic_score_gemma":0.13314436,"teacher_disagreement_score":0.08055141,"about_ca_system_score_codex":0.009393003,"about_ca_system_score_gemma":0.002161609,"threshold_uncertainty_score":0.16016513},"labels":[],"label_agreement":null},{"id":"W1992230373","doi":"10.1007/s11661-008-9689-9","title":"Matrix-Erosion Tessellation: Comparing Particle Clustering Measures Extracted from Three-Dimensional vs Two-Dimensional Images","year":2008,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cluster analysis; Particle (ecology); Nucleation; Matrix (chemical analysis); Tessellation (computer graphics); Cluster (spacecraft); Materials science; Computer science; Mathematics; Geometry; Artificial intelligence; Physics; Geology; Composite material","score_opus":0.03001981912886486,"score_gpt":0.2348234428902994,"score_spread":0.20480362376143454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992230373","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5765418,0.0018658113,0.41232836,0.00029354324,0.00022145957,0.00021215629,0.0011917659,0.0048234123,0.0025217573],"genre_scores_gemma":[0.82270485,0.00065856683,0.17360038,0.00005763305,0.00004651532,0.000056821948,0.0015492573,0.00059845333,0.00072764285],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931824,0.000096789445,0.000068564914,0.00015567003,0.00025355365,0.00010721301],"domain_scores_gemma":[0.99634486,0.001831153,0.00030452435,0.0002879606,0.0010726957,0.00015880779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023034797,0.0007602322,0.0010339293,0.0049505476,0.0005203077,0.0029607308,0.0006553346,0.0009985975,0.0013418673],"category_scores_gemma":[0.0064114016,0.00036075202,0.0011167965,0.0032742398,0.0005793665,0.0014581388,0.0008697879,0.0004953067,0.00045353684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006445129,0.00043550468,0.028851978,0.0013380426,0.00164052,0.00036553928,0.0012035167,0.120239675,0.12521295,0.0039001491,0.004805462,0.70556146],"study_design_scores_gemma":[0.00015550415,0.00042001702,0.08283534,0.00006688444,0.0004887836,0.0010164476,0.00084456935,0.8161987,0.09167489,0.0028958933,0.0031718037,0.00023119194],"about_ca_topic_score_codex":0.012437915,"about_ca_topic_score_gemma":0.011972667,"teacher_disagreement_score":0.012437915,"about_ca_system_score_codex":0.00086053566,"about_ca_system_score_gemma":0.00093856436,"threshold_uncertainty_score":0.02473104},"labels":[],"label_agreement":null},{"id":"W1993119468","doi":"10.1016/j.cep.2010.01.010","title":"Supersonic attrition nozzles in gas–solid fluidized beds","year":2010,"lang":"en","type":"article","venue":"Chemical Engineering and Processing - Process Intensification","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Supersonic speed; Attrition; Nozzle; Materials science; Environmental science; Mechanics; Medicine; Engineering; Aerospace engineering; Physics; Dentistry","score_opus":0.009853124904798434,"score_gpt":0.23382299630785883,"score_spread":0.2239698714030604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993119468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9434598,0.0044006594,0.04390785,0.00026144457,0.00024183681,0.00004693651,0.00005946388,0.0002823419,0.007339656],"genre_scores_gemma":[0.9925931,0.00036246097,0.0049589598,0.000021211077,0.000022147235,0.000010478827,0.00003741142,0.000009561375,0.0019847099],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997008,0.000062285886,0.000021245976,0.00005029409,0.00010431877,0.00006112352],"domain_scores_gemma":[0.99974555,0.00012109223,0.000040998097,0.00002001551,0.00004301262,0.000029370965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006184953,0.00017693349,0.0004550655,0.00026596084,0.00068336487,0.0010651164,0.0006888165,0.00063474075,0.0016287914],"category_scores_gemma":[0.0007284082,0.00033708406,0.00022838905,0.00019585332,0.0008083547,0.0009788306,0.00091437146,0.0005428112,0.0003834568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031661561,0.00030413058,0.012791128,0.0005251363,0.000064791995,0.0012613595,0.00047131628,0.098380156,0.698849,0.08156437,0.001897358,0.100725055],"study_design_scores_gemma":[0.00033660972,0.0011819506,0.011368672,0.00006177552,0.000046927056,0.00074374327,0.0004058846,0.56311136,0.40343836,0.007611567,0.011568026,0.00012510648],"about_ca_topic_score_codex":0.001156435,"about_ca_topic_score_gemma":0.0017096276,"teacher_disagreement_score":0.0016287914,"about_ca_system_score_codex":0.0008885218,"about_ca_system_score_gemma":0.00052674813,"threshold_uncertainty_score":0.006446719},"labels":[],"label_agreement":null},{"id":"W1993699987","doi":"10.1016/j.ces.2007.04.010","title":"Particle attrition mechanism with a sonic gas jet injected into a fluidized bed","year":2007,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Syncrude (Canada); Western University","funders":"","keywords":"Breakage; Fluidized bed; Nozzle; Particle (ecology); Attrition; Mechanics; Jet (fluid); Particle size; Particle-size distribution; Materials science; Fluidization; Particle velocity; Chemistry; Composite material; Physics; Thermodynamics; Geology","score_opus":0.007961869925265975,"score_gpt":0.2122222090903352,"score_spread":0.20426033916506922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993699987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98476636,0.00031946186,0.013112041,0.00011572294,0.00007470944,0.00004644423,0.000033448978,0.00024044323,0.0012914833],"genre_scores_gemma":[0.99487215,0.00008286015,0.0035473166,0.000016034675,0.000008461953,0.0000107037895,0.000029742221,0.000012978391,0.0014197896],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980277,0.000016492188,0.00000987859,0.000037100133,0.00008844127,0.000045375993],"domain_scores_gemma":[0.99980956,0.00006767913,0.000040426123,0.000025962614,0.00003595807,0.00002039429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004441407,0.00020647523,0.00039795277,0.00034840457,0.00043129467,0.00045204215,0.0008599153,0.0005644487,0.0013223006],"category_scores_gemma":[0.0004181849,0.00030935332,0.00038538242,0.00017005975,0.00053133845,0.0005581016,0.000408169,0.00043285053,0.00022289381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013253646,0.00012529142,0.0015161412,0.00013473727,0.00003285846,0.00022516675,0.000097703785,0.0013987009,0.98521024,0.0013697862,0.00019413973,0.008369798],"study_design_scores_gemma":[0.00009209054,0.00031638815,0.0015015278,0.0000029620726,0.000022165686,0.00008924878,0.000023669894,0.013209074,0.98395926,0.00013004955,0.00063842535,0.000015128607],"about_ca_topic_score_codex":0.000661805,"about_ca_topic_score_gemma":0.00044688626,"teacher_disagreement_score":0.0013223006,"about_ca_system_score_codex":0.00047240753,"about_ca_system_score_gemma":0.00037645767,"threshold_uncertainty_score":0.0044235587},"labels":[],"label_agreement":null},{"id":"W1995321964","doi":"10.1002/ceat.200900075","title":"Particle Shape, Density, and Size Effects on the Distribution of Phase Holdups in an LSCFB Riser","year":2009,"lang":"en","type":"article","venue":"Chemical Engineering & Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Phase (matter); Fluidized bed combustion; Distributor; Mechanics; Three-phase; Particle (ecology); Particle size; Composite material; Fluidization; Fluidized bed; Chemistry; Geology; Thermodynamics; Physics","score_opus":0.005634463921156116,"score_gpt":0.21600846988733952,"score_spread":0.21037400596618339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995321964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975637,0.000060149738,0.0020885584,0.000011635697,0.0000022615027,0.0000046837577,0.000049274255,0.000085219275,0.00013451569],"genre_scores_gemma":[0.998412,0.000032288794,0.0011585972,0.000007463349,0.0000014312981,0.0000040171467,0.0000693397,0.000024502438,0.00029026734],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977356,0.000027862063,0.000009127497,0.00005123298,0.00010156996,0.000036684116],"domain_scores_gemma":[0.9993524,0.0002864466,0.0001004809,0.00004149892,0.00015565637,0.00006349325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059106044,0.00018320755,0.0003349766,0.00039922868,0.000229723,0.00046199368,0.00033864725,0.0002784525,0.0006980893],"category_scores_gemma":[0.0009830667,0.0002979451,0.00018624938,0.00021969202,0.000319911,0.00027167553,0.00017681612,0.00031762838,0.00027996796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032065625,0.000019576859,0.0020692623,0.000012533036,0.000004593259,0.00007081825,0.00005521283,0.0006158993,0.99505264,0.000033976183,0.00002852842,0.0017162403],"study_design_scores_gemma":[0.000023115419,0.00028167115,0.030854773,0.0000032497383,0.000017793609,0.00010402738,0.00005406987,0.0154374,0.95298636,0.000024955098,0.00019352717,0.0000190879],"about_ca_topic_score_codex":0.0046444507,"about_ca_topic_score_gemma":0.0029388894,"teacher_disagreement_score":0.0046444507,"about_ca_system_score_codex":0.000433983,"about_ca_system_score_gemma":0.00017692083,"threshold_uncertainty_score":0.009234846},"labels":[],"label_agreement":null},{"id":"W1996012572","doi":"10.1111/maps.12267","title":"A methodology for the semi‐automatic digital image analysis of fragmental impactites","year":2014,"lang":"en","type":"article","venue":"Meteoritics and Planetary Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Digital image analysis; Digital image; Geology; Image (mathematics); Software; Computer science; Digital image processing; Image processing; Dimension (graph theory); Artificial intelligence; Computer graphics (images); Pattern recognition (psychology); Mineralogy; Computer vision; Mathematics; Combinatorics","score_opus":0.01973236402904122,"score_gpt":0.2582849174935683,"score_spread":0.23855255346452708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996012572","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043742126,0.00008899584,0.9922942,0.000016369362,0.000014199153,0.00021915606,0.00030301334,0.002273372,0.00041645629],"genre_scores_gemma":[0.011570933,0.00005589444,0.98708177,0.000008873819,0.000006462647,0.00032482875,0.0003576671,0.00018378993,0.00040969462],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99880064,0.00013763913,0.00012617209,0.00028627316,0.00057263894,0.00007665361],"domain_scores_gemma":[0.9979761,0.00052527885,0.00022996905,0.00039621833,0.00078910147,0.00008329849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012800382,0.00074484514,0.00067840575,0.003707647,0.00059537415,0.0013888691,0.0013845209,0.00050492206,0.0061631096],"category_scores_gemma":[0.0022926857,0.0007702796,0.0007283665,0.0016538249,0.00069629966,0.0006730562,0.0009783002,0.0009685414,0.0028799702],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114660645,0.00009082937,0.0016280526,0.00055651466,0.00007580232,0.00016132099,0.00026448377,0.0031816182,0.43999302,0.0027023824,0.0034445534,0.5477868],"study_design_scores_gemma":[0.00009193347,0.00042317068,0.050826505,0.0001646607,0.00016970866,0.0029402906,0.0003856557,0.29318,0.5601546,0.007957469,0.083379805,0.00032618528],"about_ca_topic_score_codex":0.001429501,"about_ca_topic_score_gemma":0.002791483,"teacher_disagreement_score":0.0061631096,"about_ca_system_score_codex":0.00046919606,"about_ca_system_score_gemma":0.0010102099,"threshold_uncertainty_score":0.020617664},"labels":[],"label_agreement":null},{"id":"W1997550408","doi":"10.1155/2014/528414","title":"Maintainability Analysis of Underground Mining Equipment Using Genetic Algorithms: Case Studies with an LHD Vehicle","year":2014,"lang":"en","type":"article","venue":"Journal of Mining","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Maintainability; Engineering; Genetic algorithm; Automation; Data mining; Set (abstract data type); Reliability engineering; Computer science; Machine learning","score_opus":0.040751301002429095,"score_gpt":0.30579785951951427,"score_spread":0.2650465585170852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997550408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995529,0.000032103882,0.0038376555,0.000037050926,0.0000018680553,0.000048338123,0.0000995976,0.0000382074,0.00037623625],"genre_scores_gemma":[0.99033433,0.000046052883,0.009065134,0.0000056765443,0.0000018288537,0.000034734236,0.00013979968,0.000007414413,0.00036519498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950516,0.00017899802,0.000034567474,0.0000921156,0.0001251362,0.00006406606],"domain_scores_gemma":[0.99473745,0.0041786325,0.00027446303,0.00026709653,0.0004287038,0.00011368188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001288245,0.00066047953,0.0005929512,0.0013495198,0.00056973,0.0005433552,0.0012963667,0.0011851229,0.00062483345],"category_scores_gemma":[0.0038001433,0.00029665997,0.00063745695,0.0014291445,0.0006902885,0.00047408696,0.00043497657,0.000530772,0.00007717289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018164085,0.00062167813,0.03322411,0.00010190168,0.00005610574,0.001122695,0.00025510514,0.9391905,0.002305811,0.000557288,0.00025231397,0.022130856],"study_design_scores_gemma":[0.000040248,0.00044849524,0.010631535,0.000007039451,0.000026318017,0.00012886708,0.00029767482,0.9844748,0.0033231645,0.00033188966,0.00027450224,0.000015522643],"about_ca_topic_score_codex":0.03521897,"about_ca_topic_score_gemma":0.03739944,"teacher_disagreement_score":0.03521897,"about_ca_system_score_codex":0.0016928005,"about_ca_system_score_gemma":0.00078400783,"threshold_uncertainty_score":0.07002789},"labels":[],"label_agreement":null},{"id":"W1998280188","doi":"10.2118/2006-027","title":"Coalbed Characterization Studies With X-Ray Computerized Tomography (CT) and Micro CT Techniques","year":2006,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Tomography; Characterization (materials science); X-ray; Computed tomography; Nuclear medicine; Medical physics; Computer science; Materials science; Radiology; Medicine; Optics; Physics; Nanotechnology","score_opus":0.010746146054239356,"score_gpt":0.21213286474917778,"score_spread":0.20138671869493843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998280188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86760426,0.0023706425,0.11613807,0.00027633682,0.00003427001,0.0003627652,0.0028240425,0.00044396505,0.009945669],"genre_scores_gemma":[0.9247071,0.0008998345,0.070329346,0.000094134404,0.00001351778,0.00009007098,0.00050656206,0.00006145781,0.003297825],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996567,0.000028821038,0.000027868795,0.000053506534,0.00020154635,0.000031635187],"domain_scores_gemma":[0.9991032,0.00020048801,0.00017553894,0.000046430177,0.00043539755,0.00003888684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005198023,0.00030392085,0.00015528561,0.002433612,0.0003532934,0.000614764,0.0003896213,0.00042611404,0.004258362],"category_scores_gemma":[0.0011403788,0.0002997129,0.00016086195,0.001470803,0.00049985276,0.00050363404,0.00033142773,0.00031353216,0.00038363173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004180914,0.00009281129,0.08985255,0.00045248683,0.00004058869,0.0009615491,0.00052424637,0.013281906,0.83654267,0.0015399313,0.0008163493,0.05547695],"study_design_scores_gemma":[0.000030031839,0.00037260508,0.37384692,0.00016361113,0.000094476534,0.0046013636,0.0010702782,0.053588707,0.55472094,0.0006514251,0.010759273,0.00010036978],"about_ca_topic_score_codex":0.021969074,"about_ca_topic_score_gemma":0.041437294,"teacher_disagreement_score":0.021969074,"about_ca_system_score_codex":0.00068008073,"about_ca_system_score_gemma":0.00068850734,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W1999194899","doi":"10.1016/s0892-6875(03)00045-1","title":"Limitations of variance analysis using propagation of variance","year":2003,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Metso (Canada)","funders":"","keywords":"Monte Carlo method; Randomness; Variance (accounting); Sensitivity (control systems); Variance-based sensitivity analysis; Computer science; Propagation of uncertainty; Econometrics; Algorithm; Statistics; One-way analysis of variance; Mathematics; Engineering; Analysis of variance; Machine learning; Electronic engineering; Accounting","score_opus":0.04192693321611095,"score_gpt":0.22845442844651906,"score_spread":0.18652749523040812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999194899","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009151544,0.0017736298,0.97871566,0.0019355803,0.0015273824,0.0005394243,0.0006073776,0.0014619865,0.004287367],"genre_scores_gemma":[0.371562,0.0024290937,0.612991,0.002800305,0.0018372283,0.0021343057,0.0012065067,0.0015570935,0.0034824626],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.8363879,0.1078819,0.010575484,0.011686584,0.031944744,0.0015234061],"domain_scores_gemma":[0.39866778,0.53520375,0.0061502773,0.027184343,0.032011487,0.0007824093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.12799162,0.002319206,0.003510644,0.0031453813,0.0019146996,0.005826549,0.005031432,0.0017705653,0.0045653596],"category_scores_gemma":[0.4749051,0.0014959081,0.003213929,0.004780455,0.0025968356,0.006092348,0.0027025782,0.004276265,0.0022325274],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010526874,0.0004759994,0.029647082,0.0036011986,0.0058657606,0.00035036026,0.00361499,0.023278926,0.0027450349,0.080452316,0.040914554,0.80800116],"study_design_scores_gemma":[0.0007210673,0.0008565296,0.05513998,0.002983652,0.0029612037,0.002121547,0.0028291028,0.3687896,0.012746569,0.46969172,0.08030982,0.00084918423],"about_ca_topic_score_codex":0.013003417,"about_ca_topic_score_gemma":0.008177036,"teacher_disagreement_score":0.12799162,"about_ca_system_score_codex":0.001750346,"about_ca_system_score_gemma":0.0054908935,"threshold_uncertainty_score":0.67689246},"labels":[],"label_agreement":null},{"id":"W1999311055","doi":"10.1142/s0129065706000858","title":"KOHONEN'S FEATURE MAPS FOR FLY ASH CATEGORIZATION","year":2006,"lang":"en","type":"article","venue":"International Journal of Neural Systems","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fly ash; Self-organizing map; Categorization; Feature (linguistics); On the fly; Computer science; Artificial intelligence; Artificial neural network; Pattern recognition (psychology); Engineering; Waste management","score_opus":0.008244752467614455,"score_gpt":0.2252173260356152,"score_spread":0.21697257356800076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999311055","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058064792,0.0013422049,0.934209,0.00022925813,0.00006944165,0.00015270761,0.0008827792,0.0023861693,0.0026636377],"genre_scores_gemma":[0.60644585,0.00054228446,0.38903692,0.00005837351,0.00003693394,0.0002567744,0.0014071396,0.0000623087,0.0021534227],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963534,0.00007709127,0.00003999229,0.000053871114,0.00015570475,0.000037907797],"domain_scores_gemma":[0.999466,0.00028080665,0.000027768088,0.00005651286,0.00015763832,0.0000112698735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006628935,0.00044960593,0.00047275212,0.0011373265,0.00029646797,0.0005501379,0.0006109949,0.00044786837,0.0013912845],"category_scores_gemma":[0.002054859,0.00018057952,0.0005593062,0.0014016104,0.00021706871,0.0007404378,0.00037533464,0.00048246028,0.00048547413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002489267,0.00009993947,0.0016893971,0.00020959652,0.000081115344,0.00014421866,0.00016211817,0.10825054,0.012390366,0.0039770734,0.00411943,0.86862725],"study_design_scores_gemma":[0.000016141592,0.00006192144,0.0030738525,0.000023145085,0.00002124747,0.00011256603,0.00009179621,0.98018974,0.005684909,0.0078205895,0.002873308,0.000030703104],"about_ca_topic_score_codex":0.007565514,"about_ca_topic_score_gemma":0.0061475355,"teacher_disagreement_score":0.007565514,"about_ca_system_score_codex":0.00040453317,"about_ca_system_score_gemma":0.00050311233,"threshold_uncertainty_score":0.015042961},"labels":[],"label_agreement":null},{"id":"W1999502734","doi":"10.1109/iccias.2006.294244","title":"Applying A Machine Intelligence Algorithm for Prediction","year":2006,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Categorical variable; Computer science; Data mining; Algorithm; Extension (predicate logic); Statistical classification; Tree (set theory); Decision tree; Machine learning; Artificial intelligence; Mathematics","score_opus":0.01005347575654662,"score_gpt":0.2206814821674644,"score_spread":0.21062800641091778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999502734","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007061248,0.00015824675,0.9894741,0.00014310221,0.000052370953,0.00011027436,0.000100382684,0.0015316044,0.001368753],"genre_scores_gemma":[0.11065316,0.00025460354,0.88680613,0.00014997275,0.00006737931,0.00027243508,0.0005087209,0.00011332506,0.0011742765],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976841,0.0005598584,0.00022266741,0.00064083707,0.00077194325,0.00012052926],"domain_scores_gemma":[0.99461776,0.0036602467,0.00022326839,0.0005109572,0.0009409166,0.000046873254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031374088,0.0014282124,0.0012359493,0.0031509,0.0008898587,0.0016686377,0.0018233133,0.0014191382,0.0024245405],"category_scores_gemma":[0.0131716095,0.0005536262,0.0012605169,0.0027320215,0.0006961262,0.0017772085,0.00086878985,0.0017035323,0.0013828672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106289386,0.0001836861,0.0047288663,0.00021392274,0.00020083998,0.00022031131,0.00014724376,0.40832162,0.0032509374,0.013043932,0.0046106996,0.5649717],"study_design_scores_gemma":[0.0000079440315,0.000025045383,0.00030522147,0.000019851188,0.000016753545,0.00004443418,0.000014689523,0.99026114,0.0015281651,0.0062079947,0.0015589477,0.000009869408],"about_ca_topic_score_codex":0.006167112,"about_ca_topic_score_gemma":0.0036168965,"teacher_disagreement_score":0.006167112,"about_ca_system_score_codex":0.00080749975,"about_ca_system_score_gemma":0.0013089254,"threshold_uncertainty_score":0.016592383},"labels":[],"label_agreement":null},{"id":"W20003754","doi":"","title":"Real-time identification and modelling in pervasive mining","year":2013,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Cloud computing; Android (operating system); Identification (biology); Architecture; Server; Process (computing); Real-time computing; Distributed computing; Operating system; Embedded system; Computer security","score_opus":0.014507652855709487,"score_gpt":0.2085461948542627,"score_spread":0.19403854199855322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W20003754","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031547293,0.000871338,0.96460164,0.00032539314,0.000098580334,0.000035749017,0.00011544592,0.0007076373,0.0016969572],"genre_scores_gemma":[0.92626923,0.0008031545,0.067919776,0.00010101419,0.00007617429,0.000097006916,0.00021800304,0.00009875563,0.004416857],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994628,0.00013648155,0.000039643204,0.00016020259,0.00013018503,0.000070666596],"domain_scores_gemma":[0.9989323,0.0006657477,0.00011309457,0.00010303281,0.00014629998,0.00003945542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093935925,0.0006626194,0.00087815453,0.0005034529,0.00037255354,0.0013012796,0.0012788617,0.0009995683,0.0014329582],"category_scores_gemma":[0.0035331775,0.0005410899,0.0005860505,0.00072940567,0.000765328,0.0012417766,0.001309146,0.00092774467,0.00043505558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113229165,0.00004685131,0.0018165783,0.00007795958,0.000047465506,0.00014394781,0.00007782721,0.93729943,0.0025314877,0.004347378,0.00060216105,0.05289558],"study_design_scores_gemma":[0.0000027381327,0.000010394193,0.00024989757,0.0000036172355,0.0000032285805,0.00002266225,0.000013116679,0.99562174,0.00024338599,0.0034682022,0.000356707,0.0000043302507],"about_ca_topic_score_codex":0.011380256,"about_ca_topic_score_gemma":0.008002453,"teacher_disagreement_score":0.011380256,"about_ca_system_score_codex":0.00054067466,"about_ca_system_score_gemma":0.00068983727,"threshold_uncertainty_score":0.02262801},"labels":[],"label_agreement":null},{"id":"W2003528768","doi":"10.1016/j.mineng.2013.05.013","title":"Stirred milling kinetics of siliceous goethitic nickel laterite for selective comminution","year":2013,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Grinding; Laterite; Comminution; Metallurgy; Breakage; Nickel; Materials science; Composite material","score_opus":0.010876290768603938,"score_gpt":0.2040871345523351,"score_spread":0.19321084378373116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003528768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99442816,0.0004977055,0.0020755406,0.00006584223,0.000022965454,0.000015963175,0.00023021581,0.000093740215,0.0025699667],"genre_scores_gemma":[0.9966779,0.0002038373,0.0007688925,0.0000082691295,0.0000037109726,0.000004465559,0.0001485476,0.000019769188,0.0021646542],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998901,0.000012095686,0.000009747859,0.0000234747,0.000036690944,0.000027857073],"domain_scores_gemma":[0.9998988,0.00004214275,0.000015508776,0.000010862551,0.000020662352,0.000012135445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023264246,0.00022823169,0.0002399045,0.000167825,0.00019738817,0.00031978995,0.0002990399,0.00026331237,0.0016847244],"category_scores_gemma":[0.00031713882,0.00016863763,0.00020618584,0.00017497443,0.00013526516,0.00031638864,0.00012846357,0.0005113944,0.0004669845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028964813,0.000025447096,0.00016116271,0.000039337534,0.0000047364156,0.000018779143,0.00003935885,0.00034162556,0.9969426,0.00010400466,0.00008443432,0.001948857],"study_design_scores_gemma":[0.000009447415,0.00011495476,0.00054604706,0.0000011840581,0.0000045082465,0.0000082556,0.000013234575,0.001758147,0.9970686,0.00001652559,0.0004551753,0.000004028126],"about_ca_topic_score_codex":0.0027089757,"about_ca_topic_score_gemma":0.0073144925,"teacher_disagreement_score":0.0027089757,"about_ca_system_score_codex":0.00057637354,"about_ca_system_score_gemma":0.00039344653,"threshold_uncertainty_score":0.005635977},"labels":[],"label_agreement":null},{"id":"W2003975229","doi":"10.3182/20091014-3-cl-4011.00027","title":"Design of Mass Flowrate Estimators for n-product Plants","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Estimator; Product (mathematics); Process engineering; Volumetric flow rate; Mass flow; Mathematics; Environmental science; Engineering; Computer science; Statistics; Mechanics; Physics","score_opus":0.018753374828616633,"score_gpt":0.23309111820640568,"score_spread":0.21433774337778905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003975229","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053248242,0.00008601369,0.99401546,0.000027882885,0.0000075998046,0.000026490632,0.000021054835,0.000111181085,0.00037946028],"genre_scores_gemma":[0.5048638,0.0003495845,0.49137232,0.0000963163,0.00009535536,0.00037172355,0.00021504612,0.0000973076,0.0025386433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993286,0.00021376336,0.000033786524,0.00020382449,0.00015346339,0.000066611276],"domain_scores_gemma":[0.99803394,0.0011244253,0.0003442456,0.000089869856,0.00035448017,0.000053193093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020907659,0.0008215741,0.0014079537,0.0005583727,0.00044031572,0.0011339199,0.001357221,0.0012703545,0.0013451895],"category_scores_gemma":[0.0051953136,0.00084534724,0.0006965486,0.00043692437,0.0006478161,0.0011820574,0.0007945895,0.00070742186,0.0005220262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004679992,0.00013555787,0.001579236,0.00025872028,0.00010376616,0.00006153626,0.00012648161,0.75259966,0.022059713,0.008917822,0.0011592198,0.21253043],"study_design_scores_gemma":[0.000027139897,0.000104988714,0.00039708085,0.0000112161,0.000016063548,0.000021016474,0.000008315876,0.9925868,0.0043591335,0.0018080259,0.00064913783,0.000011188014],"about_ca_topic_score_codex":0.0023027973,"about_ca_topic_score_gemma":0.002842999,"teacher_disagreement_score":0.0023027973,"about_ca_system_score_codex":0.00066828186,"about_ca_system_score_gemma":0.0012091547,"threshold_uncertainty_score":0.011057138},"labels":[],"label_agreement":null},{"id":"W2005795857","doi":"10.1016/j.ijpharm.2009.05.042","title":"Audible acoustics in high-shear wet granulation: Application of frequency filtering","year":2009,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"GlaxoSmithKline (Canada); Western University","funders":"Natural Sciences and Engineering Research Council of Canada; GlaxoSmithKline","keywords":"Granulation; Acoustics; Acoustic emission; Materials science; Mathematics; Engineering; Physics; Composite material","score_opus":0.021185082950355042,"score_gpt":0.31793199405199024,"score_spread":0.2967469111016352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005795857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5466073,0.0058950065,0.43696472,0.0004760083,0.00039629056,0.000086193715,0.00006285365,0.00041133078,0.0091002],"genre_scores_gemma":[0.9234073,0.0024698216,0.06856316,0.0000920913,0.00019131124,0.000026065525,0.000035803172,0.00006023435,0.005154243],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980503,0.000045734432,0.000009699542,0.000030884876,0.0000902501,0.000018442888],"domain_scores_gemma":[0.9993723,0.00046659,0.000038269514,0.000040469648,0.000059359023,0.000023071341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004289751,0.00023985328,0.00030233717,0.00029637275,0.0002291717,0.0004955475,0.00030848596,0.00068942655,0.0015388048],"category_scores_gemma":[0.00084368273,0.00019926214,0.00029799796,0.00029319135,0.00060089165,0.00060945685,0.00038070153,0.0003568536,0.00035320956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073522376,0.00009773289,0.00051844947,0.00022856459,0.000013193763,0.00010907353,0.00014887258,0.0039777653,0.9034818,0.0021891035,0.00018636245,0.088313915],"study_design_scores_gemma":[0.00007067033,0.00069699576,0.003543019,0.000023708466,0.00007686834,0.0004588471,0.000095538926,0.06420124,0.924735,0.0014209399,0.0046384586,0.000038657912],"about_ca_topic_score_codex":0.0003179965,"about_ca_topic_score_gemma":0.0005840242,"teacher_disagreement_score":0.0015388048,"about_ca_system_score_codex":0.00018614641,"about_ca_system_score_gemma":0.00014506502,"threshold_uncertainty_score":0.0051478148},"labels":[],"label_agreement":null},{"id":"W2006777512","doi":"10.1002/cjce.5450820221","title":"A Model for Residence Time Distribution of Solids in a Rotary Kiln","year":2004,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rotary kiln; Residence time distribution; Residence time (fluid dynamics); Environmental science; Residence; Distribution (mathematics); Kiln; Waste management; Mathematics; Engineering; Geotechnical engineering; Geometry; Demography; Sociology; Mathematical analysis","score_opus":0.010359723930811414,"score_gpt":0.19411123529284127,"score_spread":0.18375151136202986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006777512","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3810762,0.0009189571,0.59923595,0.000659139,0.00009847605,0.00016958629,0.0010366603,0.0006495584,0.01615547],"genre_scores_gemma":[0.97753006,0.00038527895,0.008842599,0.000044205924,0.000018564671,0.00019825935,0.00029579012,0.00007433308,0.012611],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999629,0.00006166833,0.000014757326,0.0001204933,0.00009971209,0.00007427442],"domain_scores_gemma":[0.99959713,0.00017142063,0.00006904204,0.000031817865,0.00009248561,0.00003821313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055273174,0.0008008212,0.001012354,0.00056181435,0.00052053045,0.0012794738,0.002260387,0.0016951995,0.0027289586],"category_scores_gemma":[0.0012809755,0.000661799,0.00093935075,0.0005281518,0.0010561167,0.0015662742,0.00051612174,0.00094070093,0.0006825081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004738316,0.00001569983,0.000407018,0.000019445604,0.00000809156,0.000048334212,0.000028330582,0.99130285,0.0032348095,0.0037397388,0.00012525456,0.001023067],"study_design_scores_gemma":[0.000010590477,0.000013671078,0.00017660075,0.0000023407267,0.0000045216902,0.000015765881,0.000005530857,0.9986112,0.0004464051,0.00051346,0.00019413378,0.000005705506],"about_ca_topic_score_codex":0.021766013,"about_ca_topic_score_gemma":0.006041689,"teacher_disagreement_score":0.021766013,"about_ca_system_score_codex":0.002509973,"about_ca_system_score_gemma":0.0011544554,"threshold_uncertainty_score":0.043278635},"labels":[],"label_agreement":null},{"id":"W2008660299","doi":"10.1007/bf02486485","title":"Particle size distribution of fine powders by LASER diffraction spectrometry. Case of cementitious materials","year":2001,"lang":"en","type":"article","venue":"Materials and Structures","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Sizing; Particle (ecology); Diffraction; Materials science; Particle-size distribution; Cementitious; Isotropy; Laser; Particle size; Solid mechanics; Computer science; Optics; Composite material; Physics; Chemistry; Cement; Engineering; Geology; Chemical engineering","score_opus":0.005723412575775078,"score_gpt":0.21492032998872623,"score_spread":0.20919691741295116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008660299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95133805,0.0037375777,0.03233924,0.00017820261,0.000055779947,0.000055918055,0.0015626956,0.00027197564,0.010460537],"genre_scores_gemma":[0.9833604,0.0009592547,0.012012041,0.00004195162,0.000016256181,0.000020006126,0.00061863125,0.000020846015,0.0029506069],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981934,0.000016021624,0.000014684109,0.00005317205,0.000079027355,0.000017770044],"domain_scores_gemma":[0.9997552,0.0001314479,0.00003107108,0.000026395823,0.0000454368,0.000010400979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001966394,0.00012015767,0.00017857905,0.0006567358,0.00021832323,0.000258141,0.00036181367,0.00045346637,0.0018373653],"category_scores_gemma":[0.000514102,0.00012145592,0.00014008097,0.0002608051,0.0001947253,0.00026465562,0.00018609158,0.0002970341,0.00047058976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017505971,0.00003366266,0.0025606551,0.00008376857,0.000012093942,0.00016447502,0.00006711438,0.00049243856,0.98470545,0.0004834102,0.00035724966,0.010864658],"study_design_scores_gemma":[0.000011522611,0.000111565525,0.029614573,0.000015779897,0.000022429893,0.0012845892,0.00008945566,0.009040507,0.95427805,0.00045893574,0.005056904,0.00001575833],"about_ca_topic_score_codex":0.0016742855,"about_ca_topic_score_gemma":0.0021108878,"teacher_disagreement_score":0.0018373653,"about_ca_system_score_codex":0.00018071302,"about_ca_system_score_gemma":0.000106206535,"threshold_uncertainty_score":0.00614661},"labels":[],"label_agreement":null},{"id":"W2011369601","doi":"10.1007/s11440-006-0008-6","title":"Evaluation of slurry settling rate using fuzzy rule-based modeling","year":2006,"lang":"en","type":"article","venue":"Acta Geotechnica","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of British Columbia","funders":"","keywords":"Settling; Slurry; Materials science; Hydraulic conductivity; Laterite; Polymer; Soil science; Environmental science; Environmental engineering; Composite material; Metallurgy","score_opus":0.03807455500674778,"score_gpt":0.2635616442489303,"score_spread":0.22548708924218253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011369601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6523667,0.00028044387,0.34239087,0.00006292551,0.00004117808,0.00012122086,0.00012843686,0.0010706475,0.0035375792],"genre_scores_gemma":[0.96983206,0.000055590186,0.029513592,0.000006012455,0.0000026619364,0.000026587992,0.000060732327,0.000016919032,0.00048576482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993407,0.00015663198,0.00007292272,0.000095261115,0.00028502734,0.000049361417],"domain_scores_gemma":[0.9986185,0.00073231553,0.00009116469,0.00010274095,0.0004239122,0.000031334515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014986878,0.0005678356,0.001099597,0.00097045995,0.00040204596,0.0010661087,0.0006718267,0.0009630458,0.00094045803],"category_scores_gemma":[0.0032883892,0.00033005138,0.00084606616,0.00062181853,0.00022693884,0.0006228351,0.00022334226,0.0002717955,0.00021082617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013723001,0.00024821088,0.006120501,0.00019581821,0.0001329808,0.0002022597,0.00009694777,0.7986565,0.07024247,0.0008950296,0.00025918032,0.12157784],"study_design_scores_gemma":[0.000013278802,0.00006694468,0.0006157448,0.0000029423372,0.000023191993,0.000013900268,0.0000061378573,0.98828644,0.010815381,0.00008661013,0.00006102071,0.000008477492],"about_ca_topic_score_codex":0.010186962,"about_ca_topic_score_gemma":0.007041706,"teacher_disagreement_score":0.010186962,"about_ca_system_score_codex":0.0008630876,"about_ca_system_score_gemma":0.0005552417,"threshold_uncertainty_score":0.020255327},"labels":[],"label_agreement":null},{"id":"W2012665123","doi":"10.2118/03-08-04","title":"Characterization of Bitumen Properties Using Microscopy and Near Infrared Spectroscopy: Processability of Oxidized or Degraded Ores","year":2003,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Suncor Energy (Canada); Natural Resources Canada","funders":"University of Alberta; Suncor Energy Incorporated","keywords":"Asphalt; Oil sands; Tailings; Characterization (materials science); Extraction (chemistry); Iron ore; Metallurgy; Mineralogy; Materials science; Chemistry; Composite material; Nanotechnology; Chromatography","score_opus":0.015549593261128213,"score_gpt":0.21781757049053452,"score_spread":0.20226797722940631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012665123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935561,0.0003446856,0.00482364,0.000016345395,0.000006170049,0.000024519379,0.0001253365,0.000035523048,0.0010677555],"genre_scores_gemma":[0.9923847,0.0002493665,0.005689211,0.000017440783,0.000002441539,0.000016051104,0.00012427552,0.000014874818,0.001501603],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997917,0.000018925622,0.000012923852,0.000028251936,0.00012086096,0.000027442244],"domain_scores_gemma":[0.99970335,0.00008126273,0.0000821508,0.000014713846,0.00009539843,0.000023177818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028674005,0.000173388,0.00013485305,0.00076829916,0.00020047266,0.0002774619,0.00019299019,0.00025085628,0.0008960228],"category_scores_gemma":[0.0004344938,0.00012036386,0.0001547402,0.00029919558,0.00021856358,0.0003057553,0.00019621201,0.00023667069,0.00015784285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060402064,0.000013766639,0.006975277,0.000039985207,0.0000056583913,0.000049471295,0.000049506973,0.00012381189,0.9892133,0.00003271222,0.00001917176,0.0034169503],"study_design_scores_gemma":[0.000003621592,0.0001993439,0.09304255,0.000008593653,0.000014812588,0.00024402703,0.00017410827,0.0018037235,0.903642,0.00004825581,0.0008098119,0.00000909569],"about_ca_topic_score_codex":0.0018974312,"about_ca_topic_score_gemma":0.004205062,"teacher_disagreement_score":0.99810255,"about_ca_system_score_codex":0.00021194821,"about_ca_system_score_gemma":0.00012123573,"threshold_uncertainty_score":0.0037727952},"labels":[],"label_agreement":null},{"id":"W2017058389","doi":"10.1016/j.coal.2012.11.013","title":"Modeling multiple coal seams using signed distance functions and global kriging","year":2012,"lang":"en","type":"article","venue":"International Journal of Coal Geology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Kriging; Geology; Coal mining; Coal; Mining engineering; Geochemistry; Mineralogy; Mathematics; Statistics; Archaeology; Geography","score_opus":0.020430275447145554,"score_gpt":0.27296398318682336,"score_spread":0.2525337077396778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017058389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5689143,0.0001632338,0.4276029,0.00014776464,0.00005819614,0.00005040079,0.0002149633,0.0004659229,0.0023823252],"genre_scores_gemma":[0.9614758,0.00006531506,0.036558907,0.000012773409,0.0000073551996,0.000026825423,0.0001444931,0.00006404441,0.0016445646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974984,0.000051813182,0.000018837105,0.000057075493,0.00007687674,0.00004561987],"domain_scores_gemma":[0.99953127,0.00023050125,0.000069944814,0.000049181213,0.000084260835,0.000034921064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050422415,0.0006719131,0.00082691177,0.000657512,0.0005905807,0.001174886,0.0013896028,0.0014916721,0.0009567541],"category_scores_gemma":[0.0015126762,0.0010008814,0.0011323134,0.0010802046,0.00065135513,0.0014156038,0.00091130554,0.0009823841,0.0001570641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000095874575,0.000011782117,0.00053553295,0.0000044379476,0.000008423207,0.000016262811,0.0000095318455,0.9972162,0.0003383123,0.00026308445,0.000017639282,0.0015690873],"study_design_scores_gemma":[0.0000016977164,0.0000030730212,0.00013870372,4.449476e-7,0.0000019743916,0.0000022807872,0.000005245468,0.99955744,0.00012240901,0.00013981907,0.000024368244,0.0000025756888],"about_ca_topic_score_codex":0.049518265,"about_ca_topic_score_gemma":0.050124407,"teacher_disagreement_score":0.049518265,"about_ca_system_score_codex":0.0010606125,"about_ca_system_score_gemma":0.0019711019,"threshold_uncertainty_score":0.09846008},"labels":[],"label_agreement":null},{"id":"W2017275588","doi":"10.1504/ijmme.2009.029320","title":"GenRel: A computerised model for reliability prediction of mining machinery","year":2009,"lang":"en","type":"article","venue":"International Journal of Mining and Mineral Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability (semiconductor); Reliability engineering; Computer science; Engineering; Data mining","score_opus":0.013036145474947504,"score_gpt":0.23397357184124562,"score_spread":0.22093742636629812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017275588","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056960538,0.0003631362,0.93577206,0.0006622944,0.00009598029,0.00010495791,0.0012313493,0.001194449,0.0036151994],"genre_scores_gemma":[0.7807668,0.0005446548,0.20924272,0.00027431874,0.00013243697,0.0005003503,0.0017011685,0.00019708226,0.006640587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954957,0.00019075889,0.0000221503,0.00010611075,0.00009285105,0.00003858405],"domain_scores_gemma":[0.9973967,0.0019107198,0.00023709195,0.00013449216,0.00025304392,0.00006797334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001633205,0.0005943301,0.0008159159,0.0007339606,0.0003423773,0.0009859477,0.0021205675,0.0013959045,0.0030791438],"category_scores_gemma":[0.0068279114,0.0005395856,0.00084989815,0.0006870064,0.0006132629,0.0010789642,0.00067953876,0.0013210148,0.00056938286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022986422,0.00001709968,0.000648543,0.000015307383,0.000014317829,0.000024193583,0.000013119109,0.9906088,0.0001363471,0.0032304553,0.0005041071,0.004764731],"study_design_scores_gemma":[0.0000028694658,0.0000055118994,0.00007003626,0.0000012489313,0.0000017954809,0.000005481333,8.274708e-7,0.99797875,0.000024437655,0.0017407122,0.00016655713,0.0000019025068],"about_ca_topic_score_codex":0.013794976,"about_ca_topic_score_gemma":0.008590565,"teacher_disagreement_score":0.013794976,"about_ca_system_score_codex":0.0013664087,"about_ca_system_score_gemma":0.00094732834,"threshold_uncertainty_score":0.027429402},"labels":[],"label_agreement":null},{"id":"W2018356601","doi":"10.1063/1.4902836","title":"A dynamic ball compression test for understanding rock crushing","year":2014,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Materials science; Brittleness; Dynamic loading; Dynamic range compression; Split-Hopkinson pressure bar; Ultimate tensile strength; Ball (mathematics); Mechanics; Dynamic testing; Rock mechanics; Composite material; Geotechnical engineering; Structural engineering; Geology; Strain rate; Physics","score_opus":0.03105091969237089,"score_gpt":0.27101337196513936,"score_spread":0.23996245227276847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018356601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9244027,0.0016670042,0.06427024,0.00007682965,0.00007825754,0.00021866035,0.0006401901,0.00044288754,0.00820319],"genre_scores_gemma":[0.97057164,0.00058269396,0.024960874,0.000041060932,0.000016822501,0.000078388766,0.00038014413,0.00003074867,0.0033377812],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993668,0.000025560505,0.000026925716,0.0001052818,0.0004294549,0.000045937577],"domain_scores_gemma":[0.9992773,0.00021637496,0.00009679139,0.0000639163,0.00027901598,0.00006663379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032017098,0.00040550323,0.00033255448,0.0010855156,0.00033619103,0.0002277304,0.00047664743,0.00042478455,0.003109833],"category_scores_gemma":[0.0006593579,0.00017732279,0.00016971616,0.0007005335,0.00037933394,0.0004673619,0.00032516418,0.00041030018,0.0003903924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008843329,0.000043832755,0.0027797518,0.00009702184,0.000005594093,0.00015176022,0.00009046838,0.000289013,0.97851,0.00023028483,0.00020009706,0.017513802],"study_design_scores_gemma":[0.00001997617,0.0012218494,0.07501607,0.000020156593,0.000033968558,0.0011028792,0.00024398282,0.014544372,0.90381956,0.00024036362,0.0036876425,0.000049272137],"about_ca_topic_score_codex":0.0014696262,"about_ca_topic_score_gemma":0.0029795635,"teacher_disagreement_score":0.003109833,"about_ca_system_score_codex":0.0001736663,"about_ca_system_score_gemma":0.00034337185,"threshold_uncertainty_score":0.010403454},"labels":[],"label_agreement":null},{"id":"W2019934749","doi":"10.1016/j.coal.2010.03.004","title":"Simultaneous prediction of coal rank parameters based on ultimate analysis using regression and artificial neural network","year":2010,"lang":"en","type":"article","venue":"International Journal of Coal Geology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Artificial neural network; Multivariable calculus; Coal; Linear regression; Regression analysis; Regression; Mathematics; Statistics; Artificial intelligence; Computer science; Engineering; Waste management","score_opus":0.01515649700126377,"score_gpt":0.2677238538592665,"score_spread":0.25256735685800275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019934749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7366666,0.00050156086,0.2588616,0.000094704475,0.0000866034,0.0000366331,0.00023934596,0.000939747,0.00257311],"genre_scores_gemma":[0.98652494,0.00008663726,0.01228058,0.000008242342,0.000014063761,0.000014768075,0.00012417721,0.000026304804,0.00092020055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996774,0.0000653644,0.00003127428,0.000084299674,0.0001044564,0.00003724664],"domain_scores_gemma":[0.99883944,0.000597292,0.00012545874,0.00006360147,0.00032782427,0.00004637151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084550364,0.00090392766,0.0010522592,0.0011079652,0.00036715722,0.0007235314,0.0005187164,0.00077412406,0.00079651887],"category_scores_gemma":[0.0021020642,0.0004577032,0.00053346955,0.00089105754,0.0002535351,0.0011484941,0.00044895086,0.00066331535,0.00045665313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010974976,0.00042426737,0.042354636,0.00019836031,0.00021184853,0.00021562405,0.00009050332,0.68070465,0.04627438,0.00085535186,0.00097599963,0.22659679],"study_design_scores_gemma":[0.0000055314867,0.00003391676,0.0043994165,0.0000019220724,0.000014208601,0.0000099749905,0.0000057813136,0.99193513,0.0033615872,0.00016162754,0.00006120028,0.00000970645],"about_ca_topic_score_codex":0.0040417938,"about_ca_topic_score_gemma":0.005868609,"teacher_disagreement_score":0.0040417938,"about_ca_system_score_codex":0.00028496806,"about_ca_system_score_gemma":0.00042276434,"threshold_uncertainty_score":0.008036554},"labels":[],"label_agreement":null},{"id":"W2020683185","doi":"10.1016/j.powtec.2010.10.010","title":"Development of particle size distribution during limestone impact attrition","year":2010,"lang":"en","type":"article","venue":"Powder Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Attrition; Particle-size distribution; Particle size; Mineralogy; Particle (ecology); Environmental science; Materials science; Geology; Dentistry; Paleontology; Oceanography","score_opus":0.007392451531891301,"score_gpt":0.23719173187244272,"score_spread":0.22979928034055142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020683185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879006,0.00025783817,0.009800106,0.000027960734,0.000012989092,0.0000186221,0.00014060244,0.0000899491,0.0017513642],"genre_scores_gemma":[0.9945569,0.00014924585,0.003626017,0.0000092627715,0.000004036014,0.000012664378,0.0001655374,0.000021660298,0.001454706],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998159,0.00001053163,0.0000068357976,0.0000471438,0.00008900028,0.00003069634],"domain_scores_gemma":[0.99969363,0.00011404581,0.000036766494,0.000020908481,0.000112347116,0.000022217666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002705661,0.0001150732,0.00021799562,0.000486493,0.00029438318,0.0003434059,0.00032193062,0.00019428224,0.0012966051],"category_scores_gemma":[0.0006594691,0.00018082815,0.0001496866,0.00033682352,0.00018815069,0.00038195951,0.00019779737,0.00028025158,0.00024882366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028714348,0.000030025916,0.0028357066,0.000037620623,0.0000042453735,0.00006485251,0.00010305324,0.00041778496,0.98153746,0.00017196675,0.000080225494,0.014429941],"study_design_scores_gemma":[0.000006079626,0.00014710815,0.017510133,0.0000021842864,0.0000072559587,0.000076615586,0.00007594117,0.0041460674,0.9771717,0.000053356434,0.0007960593,0.0000075520434],"about_ca_topic_score_codex":0.0012492506,"about_ca_topic_score_gemma":0.001764275,"teacher_disagreement_score":0.0012966051,"about_ca_system_score_codex":0.00032572544,"about_ca_system_score_gemma":0.00027176,"threshold_uncertainty_score":0.004337609},"labels":[],"label_agreement":null},{"id":"W2021412110","doi":"10.1016/j.ijmst.2013.05.022","title":"A study of self-heating characteristics of a pyrrhotite-rich sulphide ore stockpile","year":2013,"lang":"en","type":"article","venue":"International Journal of Mining Science and Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Central University of Finance and Economics","keywords":"Stockpile; Pyrrhotite; Pentlandite; Chalcopyrite; Metallurgy; Humidity; Copper; Environmental science; Mineralogy; Geology; Chemistry; Sulfide; Materials science; Meteorology; Geography","score_opus":0.009580846551698902,"score_gpt":0.2517378457308976,"score_spread":0.24215699917919867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021412110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993273,0.00005597992,0.00027229005,0.000004843977,0.0000018111929,0.0000022233291,0.00003660932,0.000010689722,0.0002882483],"genre_scores_gemma":[0.9991689,0.00002724083,0.00017361899,0.000002106051,0.0000011619966,0.0000011813663,0.00004829112,0.000004968148,0.00057253294],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994373,0.000005136222,0.0000028237682,0.000012309084,0.000026715647,0.000009303371],"domain_scores_gemma":[0.9998658,0.00004249919,0.00001970928,0.0000125316365,0.000045518897,0.000014009987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010593901,0.00010459184,0.00021888726,0.00028772347,0.00022015689,0.00017200496,0.00016596423,0.00022996955,0.0010132279],"category_scores_gemma":[0.00018167983,0.000080506696,0.00019460317,0.00020917648,0.0001635776,0.000224831,0.00009718368,0.00014131161,0.00013303343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036906768,0.000021190994,0.0038861684,0.000043970234,0.0000066053008,0.00015459172,0.00010776762,0.00024814616,0.9924281,0.000029463405,0.000044098444,0.0026607309],"study_design_scores_gemma":[0.00001289767,0.0006687064,0.07937493,0.000005775907,0.00003001456,0.0003248505,0.00024003051,0.00590108,0.91232616,0.00003568327,0.0010660237,0.000013797306],"about_ca_topic_score_codex":0.00094170077,"about_ca_topic_score_gemma":0.001452192,"teacher_disagreement_score":0.0010132279,"about_ca_system_score_codex":0.000121613775,"about_ca_system_score_gemma":0.00009575234,"threshold_uncertainty_score":0.0033895373},"labels":[],"label_agreement":null},{"id":"W2022550619","doi":"10.3182/20091014-3-cl-4011.00009","title":"Simulation of Gold Grain Exposure of Ground Ore Using Voronoi Tessellation","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Breakage; Grinding; Voronoi diagram; Materials science; Grain size; Gold ore; Leaching (pedology); Particle size; Metallurgy; Mineralogy; Geology; Composite material; Geometry; Mathematics; Soil science","score_opus":0.01682665153213652,"score_gpt":0.24399564428272358,"score_spread":0.22716899275058705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022550619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.894079,0.00021181713,0.08515682,0.00029545333,0.000075869066,0.00006670585,0.0005704416,0.0006141147,0.018929671],"genre_scores_gemma":[0.99257505,0.000035629382,0.0057302415,0.000019060615,0.000005197834,0.000015471243,0.00010185677,0.000038216254,0.0014793392],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998392,0.000029844596,0.0000065657173,0.000024307863,0.00004652424,0.000053622407],"domain_scores_gemma":[0.99918205,0.00057813234,0.000045561843,0.000047179197,0.000075002805,0.00007192164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002143138,0.00035848859,0.0007078039,0.0004844783,0.0006520035,0.00092028634,0.0008843388,0.001477129,0.0031695534],"category_scores_gemma":[0.0012745685,0.0004487791,0.00069806265,0.0006797383,0.0007667716,0.0005225846,0.00089296437,0.00043924397,0.00019647185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003472702,0.000011537347,0.0006001682,0.000008405302,0.00000812584,0.00005908747,0.000025675912,0.9972682,0.00044281,0.0007100484,0.00007641274,0.00075481145],"study_design_scores_gemma":[0.000007684663,0.000008387017,0.00015881307,0.0000012815333,0.0000016274225,0.000008585165,0.000015334312,0.999126,0.0002136163,0.00037343256,0.00008237598,0.0000029102478],"about_ca_topic_score_codex":0.039164778,"about_ca_topic_score_gemma":0.02432826,"teacher_disagreement_score":0.039164778,"about_ca_system_score_codex":0.0011487834,"about_ca_system_score_gemma":0.0009731427,"threshold_uncertainty_score":0.07787365},"labels":[],"label_agreement":null},{"id":"W2025245019","doi":"10.1115/power2006-88249","title":"Benchmarking Software for Slagging, Fouling and Other Parameters to Improve Coal-Fired Power Plant Load Factor, Efficiency and Emission","year":2006,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wind Energy Institute of Canada","funders":"","keywords":"Coal; Fouling; Pulverized coal-fired boiler; Flue gas; Boiler (water heating); Waste management; Process engineering; Particulates; Coal combustion products; Environmental science; Combustion; Power station; Bottom ash; Fly ash; Engineering; Chemistry","score_opus":0.010178437630961112,"score_gpt":0.21925165996642187,"score_spread":0.20907322233546077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025245019","genre_codex":"software","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08348876,0.00066260586,0.41551435,0.00031173992,0.00025019638,0.0006703404,0.007848595,0.46945602,0.021797396],"genre_scores_gemma":[0.54777414,0.00091384875,0.3550669,0.0004454788,0.000065754764,0.0011862289,0.035514314,0.041416213,0.017617146],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99763036,0.00044520147,0.00029825346,0.00044590494,0.0010204612,0.00015972277],"domain_scores_gemma":[0.99380255,0.0025601964,0.00068181305,0.0012812287,0.0015070944,0.00016709216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040873555,0.0022891664,0.0010966193,0.0028650165,0.0003991937,0.0012905981,0.0021307343,0.0008405721,0.010163584],"category_scores_gemma":[0.010902867,0.0007125048,0.0013233084,0.0022821114,0.00047672557,0.0014979765,0.0009940279,0.0010996797,0.0037856086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014802901,0.0014171781,0.031265277,0.0018024797,0.0007433357,0.00039536622,0.00093549496,0.13842851,0.039786417,0.010979689,0.095616296,0.6771497],"study_design_scores_gemma":[0.00036077312,0.0009961987,0.033191886,0.0003540422,0.0002564249,0.00055848336,0.00019165305,0.77384055,0.09336132,0.008738199,0.08773975,0.0004106934],"about_ca_topic_score_codex":0.004324466,"about_ca_topic_score_gemma":0.0033641353,"teacher_disagreement_score":0.010163584,"about_ca_system_score_codex":0.0007946687,"about_ca_system_score_gemma":0.0013623092,"threshold_uncertainty_score":0.034000576},"labels":[],"label_agreement":null},{"id":"W2025489329","doi":"10.3183/npprj-2007-22-03-p299-306","title":"Determining the inherent potential for specific energy reduction and variability attenuation in TMP-refining operations","year":2007,"lang":"en","type":"article","venue":"Nordic Pulp & Paper Research Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Refining (metallurgy); Reduction (mathematics); Process engineering; Attenuation; Environmental science; Industrial chemistry; Energy (signal processing); Biochemical engineering; Pulp and paper industry; Waste management; Materials science; Computer science; Engineering; Mathematics; Metallurgy; Statistics; Physics; Optics","score_opus":0.0548688294774099,"score_gpt":0.33699723554695316,"score_spread":0.28212840606954326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025489329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951959,0.00002138584,0.00371211,0.000017520473,0.0000011897503,0.000008132235,0.0000808695,0.0000150556025,0.0009478766],"genre_scores_gemma":[0.9988955,0.000010417049,0.0007746464,0.0000026281193,5.570437e-7,0.000004210944,0.000060755014,0.0000046099776,0.00024651326],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999592,0.000057804948,0.000014906939,0.00009329748,0.00015618726,0.00008573796],"domain_scores_gemma":[0.9992029,0.0004280404,0.000082430015,0.00004528205,0.00021800962,0.000023331886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005972067,0.00021521417,0.00023437726,0.00022447051,0.00041546486,0.0005959524,0.0003945653,0.00037351725,0.0011387748],"category_scores_gemma":[0.0016835852,0.00018840561,0.00031933328,0.00047805454,0.00026754633,0.0007358368,0.00030211615,0.0003732857,0.00020122161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004337446,0.00022401157,0.21820842,0.00018410986,0.00013257016,0.00034974184,0.0002881626,0.13783613,0.57828426,0.0011409603,0.00017510113,0.05883905],"study_design_scores_gemma":[0.000056108496,0.0012837845,0.25731662,0.0000111383215,0.00012000547,0.00015631615,0.0004755202,0.1440739,0.5948844,0.0006666592,0.00092575623,0.0000297807],"about_ca_topic_score_codex":0.011846359,"about_ca_topic_score_gemma":0.013665016,"teacher_disagreement_score":0.011846359,"about_ca_system_score_codex":0.0007634239,"about_ca_system_score_gemma":0.000642627,"threshold_uncertainty_score":0.023554802},"labels":[],"label_agreement":null},{"id":"W2027148272","doi":"10.1080/17480930701679459","title":"Evaluation of the effect of off-the-road tire air pressure setting on tire performance","year":2008,"lang":"en","type":"article","venue":"International Journal of Mining Reclamation and Environment","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; British Columbia Institute of Technology","funders":"","keywords":"Automotive engineering; Statistical analysis; Atmospheric pressure; Environmental science; Engineering; Statistics; Mathematics; Meteorology","score_opus":0.012759109796765453,"score_gpt":0.22957804557459024,"score_spread":0.2168189357778248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027148272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99857235,0.00006717709,0.001014322,0.000003841258,0.000004713964,0.000012026548,0.000046113637,0.000019246925,0.0002601903],"genre_scores_gemma":[0.9984303,0.000063556814,0.0010113261,0.000003571518,0.0000045098127,0.0000094017305,0.00010940519,0.000013859918,0.00035405354],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99899036,0.00019608621,0.00006234124,0.00012944647,0.0005085207,0.00011333695],"domain_scores_gemma":[0.9969765,0.00173631,0.00036981152,0.00020800857,0.0005768106,0.00013253036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080058613,0.0005369543,0.00049924204,0.0003475747,0.0002987273,0.00045535195,0.0003292685,0.00042556153,0.0012782625],"category_scores_gemma":[0.002687735,0.00026281702,0.00039798787,0.00026396062,0.00024520577,0.00039213427,0.00029321175,0.00037256916,0.00035237646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004010011,0.0011470219,0.062986165,0.00056536356,0.00015320494,0.00045929625,0.00040361524,0.0075260634,0.8575909,0.000042606287,0.00014044884,0.06497526],"study_design_scores_gemma":[0.000030265237,0.020201258,0.46656936,0.000018422104,0.0002065293,0.00057939376,0.00044228695,0.007890323,0.50301105,0.000056842488,0.00092855224,0.00006563691],"about_ca_topic_score_codex":0.0006833968,"about_ca_topic_score_gemma":0.001269555,"teacher_disagreement_score":0.0012782625,"about_ca_system_score_codex":0.00017192084,"about_ca_system_score_gemma":0.0001825585,"threshold_uncertainty_score":0.0042761564},"labels":[],"label_agreement":null},{"id":"W2029056319","doi":"10.3182/20100802-3-za-2014.00001","title":"Multivariate Specifications of Raw Materials: Application to Aluminum Reduction Cells","year":2010,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alcoa (Canada)","funders":"","keywords":"Raw material; Univariate; Multivariate statistics; Process (computing); Reduction (mathematics); Process engineering; Quality (philosophy); Set (abstract data type); Smelting; Aluminium; Multivariate analysis; Computer science; Engineering; Raw data; Manufacturing engineering; Metallurgy; Materials science; Mathematics; Chemistry","score_opus":0.013000636739437502,"score_gpt":0.2273094877901733,"score_spread":0.2143088510507358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029056319","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020321855,0.00007029497,0.97606283,0.00007168224,0.000021120755,0.000025336787,0.0005182782,0.0006881193,0.0022205191],"genre_scores_gemma":[0.5054922,0.00032887462,0.48387364,0.00008440313,0.00008636877,0.00017689209,0.002987381,0.00076633145,0.0062040007],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981698,0.00040255248,0.00015081646,0.00022157909,0.00094339065,0.00011191225],"domain_scores_gemma":[0.99549073,0.0015258337,0.00060563895,0.00084987906,0.0014353996,0.00009257795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019512855,0.0007527192,0.0009471046,0.00091183017,0.0004993146,0.0015462913,0.00162159,0.0005929094,0.0037871753],"category_scores_gemma":[0.006517258,0.00047217048,0.0009255511,0.001646291,0.00047568447,0.0015422609,0.00083613856,0.0010265122,0.00087680586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050261617,0.00023479632,0.0041089095,0.00034089712,0.000057090067,0.00022398109,0.00023358379,0.48831266,0.06763316,0.14538702,0.0052644997,0.2877008],"study_design_scores_gemma":[0.000023495335,0.00015890608,0.0015831382,0.000018415234,0.00001807304,0.00010975395,0.0000705576,0.907807,0.03964937,0.04499342,0.0055182544,0.000049632585],"about_ca_topic_score_codex":0.0026484218,"about_ca_topic_score_gemma":0.004664029,"teacher_disagreement_score":0.0037871753,"about_ca_system_score_codex":0.00082990545,"about_ca_system_score_gemma":0.0015550584,"threshold_uncertainty_score":0.0126693845},"labels":[],"label_agreement":null},{"id":"W2030863026","doi":"10.1007/s10596-008-9107-9","title":"A hybrid method for grade estimation using genetic algorithm and neural networks","year":2008,"lang":"en","type":"article","venue":"Computational Geosciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Artificial neural network; Genetic algorithm; Computer science; Multilayer perceptron; Kriging; Algorithm; Maxima and minima; Set (abstract data type); Perceptron; Mathematical optimization; Artificial intelligence; Machine learning; Mathematics","score_opus":0.03390966775426541,"score_gpt":0.28995340035056655,"score_spread":0.25604373259630114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030863026","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006311695,0.0000918527,0.9922937,0.00003145547,0.000037075126,0.000027542015,0.00002657685,0.00047030687,0.00070976984],"genre_scores_gemma":[0.17725495,0.0001197475,0.81779647,0.00007306502,0.000063649844,0.00016429488,0.00016618114,0.0001536149,0.004207947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954176,0.00008853032,0.000021566646,0.000106702544,0.00020884769,0.000032555068],"domain_scores_gemma":[0.99928457,0.00029280907,0.000054995326,0.00005109192,0.00029311838,0.000023405868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007893968,0.0008559284,0.0012645008,0.0015688908,0.0006173613,0.00095585437,0.0018108693,0.0016142682,0.0021599415],"category_scores_gemma":[0.0019207041,0.0006486167,0.0008100839,0.0015848171,0.00046114696,0.0011565275,0.0007361605,0.00093020214,0.00073440734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013454248,0.00011751343,0.0011713145,0.00008342683,0.00013614738,0.0000640528,0.000045765428,0.6261852,0.008148807,0.0042638876,0.001119061,0.35853037],"study_design_scores_gemma":[0.000010155389,0.0000148607505,0.00016547131,0.0000029097116,0.000010052986,0.000010687335,0.0000026228056,0.9978994,0.0008717144,0.0006866314,0.0003181189,0.0000073212746],"about_ca_topic_score_codex":0.015130408,"about_ca_topic_score_gemma":0.015607513,"teacher_disagreement_score":0.015130408,"about_ca_system_score_codex":0.00071851513,"about_ca_system_score_gemma":0.0011994113,"threshold_uncertainty_score":0.03008467},"labels":[],"label_agreement":null},{"id":"W2033170163","doi":"10.1007/s00603-010-0128-z","title":"Selecting Ore Pass-Finger Raise Configurations in Underground Mines","year":2010,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Golder Associates (Canada)","funders":"","keywords":"Funnel; Excavation; Mining engineering; Rock mass classification; Underground mining (soft rock); Flow (mathematics); Engineering; Geology; Geotechnical engineering; Mechanical engineering; Mechanics; Waste management; Coal mining","score_opus":0.006703064495141394,"score_gpt":0.19739812406364443,"score_spread":0.19069505956850305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033170163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98516834,0.000024027737,0.012105757,0.000021525633,0.0000052696228,0.000023636503,0.00006287314,0.00019724898,0.0023912229],"genre_scores_gemma":[0.98832,0.000014427076,0.011024663,0.0000053451454,0.0000012916663,0.000007378671,0.00006436194,0.000039658178,0.0005228441],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969864,0.00006340287,0.000020361733,0.000055468772,0.000093287956,0.000068842135],"domain_scores_gemma":[0.9991499,0.0003560511,0.00012183813,0.00006612257,0.00017247895,0.0001335249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035380674,0.0004619642,0.0005931734,0.0008749478,0.00053223793,0.00063821074,0.00059165596,0.0005988029,0.0036508106],"category_scores_gemma":[0.0018111833,0.00041566926,0.0002745104,0.00035088623,0.0002658194,0.0006403457,0.00065205357,0.00023306941,0.0006131031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010186484,0.0010279439,0.13976233,0.0005028529,0.000128948,0.004584884,0.0010247228,0.11630374,0.42319337,0.0026621183,0.0032132398,0.29740947],"study_design_scores_gemma":[0.00036749418,0.005508868,0.15422814,0.0001272555,0.00029100364,0.0038344935,0.0044997376,0.4798858,0.34215,0.0043232613,0.004585731,0.0001982558],"about_ca_topic_score_codex":0.0006738728,"about_ca_topic_score_gemma":0.002855501,"teacher_disagreement_score":0.0036508106,"about_ca_system_score_codex":0.00017213688,"about_ca_system_score_gemma":0.00037538886,"threshold_uncertainty_score":0.0122131705},"labels":[],"label_agreement":null},{"id":"W2034888775","doi":"10.1071/aseg2015ab289","title":"Predictive Modelling for Iron Ore Exploration Targeting: Case Study: 57 Bt Xaudum Iron Ore Exploration Target (Botswana).","year":2015,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"First Quantum Minerals","keywords":"Iron ore; Geology; Drill; Drilling; Inversion (geology); Mining engineering; Drill hole; Banded iron formation; Mineral exploration; Robustness (evolution); Magnetite; Geochemistry; Geomorphology; Structural basin; Engineering; Paleontology; Sedimentary rock; Geography; Archaeology","score_opus":0.06496343989446175,"score_gpt":0.27909688846729225,"score_spread":0.2141334485728305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034888775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9684542,0.00008182014,0.025860943,0.0001513078,0.000005530937,0.000069405956,0.00037761536,0.00013224993,0.0048668818],"genre_scores_gemma":[0.99335176,0.000047791385,0.0050665177,0.000009027984,9.847699e-7,0.00002958051,0.0001528165,0.000010189716,0.0013313185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99991035,0.000025278167,0.0000052021173,0.000019219506,0.00001929434,0.000020572339],"domain_scores_gemma":[0.9996093,0.00027871635,0.000030731968,0.0000167333,0.000053038133,0.000011471098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040823824,0.000457244,0.0003211067,0.00036955316,0.0003457425,0.00078170194,0.0007222267,0.0009257716,0.0013480926],"category_scores_gemma":[0.0010522953,0.00027985216,0.00027935073,0.00044755006,0.0003680415,0.00029245825,0.0005635005,0.00048493574,0.0001417398],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011507581,0.00006201235,0.012032109,0.00007522044,0.00001550059,0.00051709474,0.00012685772,0.97298425,0.0023965156,0.0009250888,0.00021367642,0.010536662],"study_design_scores_gemma":[0.000009345999,0.000057844456,0.0033452257,0.000012677558,0.000009234429,0.00004245124,0.00018770187,0.99363315,0.0017920906,0.00045831775,0.00044371717,0.000008114108],"about_ca_topic_score_codex":0.08146135,"about_ca_topic_score_gemma":0.08669459,"teacher_disagreement_score":0.08146135,"about_ca_system_score_codex":0.0010356643,"about_ca_system_score_gemma":0.0010568675,"threshold_uncertainty_score":0.16197437},"labels":[],"label_agreement":null},{"id":"W2037781592","doi":"10.1016/j.mineng.2011.05.006","title":"Energy efficient comminution under high velocity impact fragmentation","year":2011,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Comminution; Breakage; Projectile; Mechanics; Fractal; Materials science; Fractal dimension; Efficient energy use; Surface roughness; Impact energy; Environmental science; Composite material; Engineering; Mathematics; Physics; Metallurgy","score_opus":0.017295136957279,"score_gpt":0.21043810463543147,"score_spread":0.19314296767815248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037781592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9659986,0.00034426607,0.020684171,0.00016890893,0.000038514645,0.00004913435,0.000156161,0.00017127051,0.012389089],"genre_scores_gemma":[0.9958299,0.000051497387,0.0014951819,0.000014179377,0.0000028883985,0.000008862284,0.000056703557,0.000012083112,0.0025286712],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997788,0.000012309073,0.000005458952,0.000036769943,0.00007858256,0.000088072105],"domain_scores_gemma":[0.999765,0.000077775374,0.000031170806,0.00004182435,0.000051782055,0.00003243793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002668689,0.00028260658,0.00037729696,0.0006076049,0.0012924623,0.00057594327,0.00048074662,0.0007737815,0.005126985],"category_scores_gemma":[0.0005406636,0.0001746274,0.00019237859,0.000664082,0.0006373628,0.00074043503,0.0009854819,0.00035064077,0.00045892518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026901572,0.00029678547,0.00973739,0.00036033828,0.00006659044,0.0011902163,0.00060560985,0.13805181,0.7767784,0.015679348,0.0013399035,0.053203426],"study_design_scores_gemma":[0.00017420854,0.0011577404,0.021179594,0.000029159572,0.00003964072,0.0006765462,0.00085666514,0.25805998,0.7037052,0.008939246,0.005123165,0.000058810387],"about_ca_topic_score_codex":0.0030897846,"about_ca_topic_score_gemma":0.0046395794,"teacher_disagreement_score":0.005126985,"about_ca_system_score_codex":0.0008567942,"about_ca_system_score_gemma":0.0006007797,"threshold_uncertainty_score":0.017151475},"labels":[],"label_agreement":null},{"id":"W2038884454","doi":"10.1016/j.cageo.2015.04.008","title":"A new intelligent method for minerals segmentation in thin sections based on a novel incremental color clustering","year":2015,"lang":"en","type":"article","venue":"Computers & Geosciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Thin section; Segmentation; Cluster analysis; Geology; Petrography; Hue; Mineralogy; Thin film; Mineral; Mars Exploration Program; Artificial intelligence; Computer science; Pattern recognition (psychology); Materials science; Physics","score_opus":0.06080255484459258,"score_gpt":0.31608165342346556,"score_spread":0.255279098578873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038884454","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00481722,0.00015082401,0.9925707,0.00005126994,0.000058836125,0.00006248308,0.0000610399,0.001386694,0.000840859],"genre_scores_gemma":[0.040952682,0.0001704293,0.9558606,0.000062041676,0.00004514037,0.00009715438,0.00026012782,0.0003024698,0.0022493238],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924845,0.000051512983,0.000036746336,0.00026348085,0.00033455002,0.00006524221],"domain_scores_gemma":[0.99940264,0.00008861817,0.00003862086,0.000089684756,0.00033880744,0.00004163563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049427827,0.0011324066,0.0012335934,0.0032440478,0.0010755213,0.0012218993,0.0028615557,0.0011533491,0.0029495095],"category_scores_gemma":[0.00087259413,0.00080948934,0.0014066971,0.0025201929,0.00060413044,0.0016849971,0.001166813,0.0009813458,0.0013330176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001884297,0.0001927779,0.0017295091,0.0003211364,0.00019871569,0.00012524465,0.00019066902,0.044996798,0.11547455,0.0063679474,0.0065044095,0.82370996],"study_design_scores_gemma":[0.000032845135,0.00005685624,0.0016883188,0.000012385315,0.00009790161,0.00027427665,0.00005538456,0.95691305,0.030327948,0.0029718748,0.007490752,0.00007843094],"about_ca_topic_score_codex":0.012611279,"about_ca_topic_score_gemma":0.019208869,"teacher_disagreement_score":0.012611279,"about_ca_system_score_codex":0.0008224294,"about_ca_system_score_gemma":0.0017183897,"threshold_uncertainty_score":0.025075734},"labels":[],"label_agreement":null},{"id":"W2040041332","doi":"10.1115/fbc2005-78126","title":"A Innovative Solution to the Problem of Mill Rejects in Thermal Power Plants","year":2005,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University; University Canada West; United States Agency for International Development","keywords":"Mill; Pulverized coal-fired boiler; Waste management; Boiler (water heating); Power station; Coal; Thermal power station; Engineering; Combustion; Leaching (pedology); Environmental science; Process engineering; Mechanical engineering","score_opus":0.010270592852025707,"score_gpt":0.219392272112475,"score_spread":0.2091216792604493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040041332","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22235619,0.0019009335,0.7373512,0.004308441,0.00045419126,0.0002510532,0.00006626398,0.0011824785,0.032129195],"genre_scores_gemma":[0.69091773,0.0011980796,0.27882212,0.00070743077,0.00024007818,0.00009827938,0.00007568623,0.00010842814,0.027832115],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994972,0.00008189476,0.000019056804,0.000082310835,0.00025340516,0.000066104054],"domain_scores_gemma":[0.99968696,0.00006167631,0.000052045398,0.00006275407,0.00010210014,0.000034479654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004854743,0.0003148369,0.00024120312,0.00046356546,0.0009253999,0.00092551886,0.0013470043,0.001416846,0.002903083],"category_scores_gemma":[0.0006227238,0.00024370386,0.00048622873,0.00040476827,0.0005760572,0.0012224895,0.0009826224,0.0010935299,0.0006073198],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006530957,0.00069693214,0.004542846,0.0009651141,0.00008973035,0.0037566978,0.001798251,0.04291506,0.28536433,0.074334115,0.007151581,0.57773226],"study_design_scores_gemma":[0.0005440121,0.003973401,0.007903524,0.0003042919,0.00027309867,0.0145751685,0.0027227367,0.18184625,0.3274803,0.06437404,0.3957243,0.00027884115],"about_ca_topic_score_codex":0.0005604909,"about_ca_topic_score_gemma":0.0010908502,"teacher_disagreement_score":0.002903083,"about_ca_system_score_codex":0.0004024551,"about_ca_system_score_gemma":0.00073432864,"threshold_uncertainty_score":0.009711742},"labels":[],"label_agreement":null},{"id":"W2041749838","doi":"10.1190/1.1839655","title":"Conductivity‐based nickel grade estimation for grade control at Inco's Sudbury mines","year":2004,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Vale (Canada)","funders":"","keywords":"Nickel; Estimation; Conductivity; Nickel compounds; Environmental science; Mining engineering; Geology; Metallurgy; Materials science; Engineering; Chemistry","score_opus":0.02269002004217623,"score_gpt":0.2544771619445265,"score_spread":0.23178714190235028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041749838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8876452,0.00044842038,0.098975316,0.00031054538,0.000036034355,0.00023021124,0.00052409654,0.0011186175,0.010711501],"genre_scores_gemma":[0.91705394,0.00027243537,0.077030316,0.0000502435,0.000008917065,0.00003609645,0.00029451135,0.00009988531,0.00515356],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99861884,0.0001162842,0.000064335996,0.00017343405,0.00094933616,0.00007779037],"domain_scores_gemma":[0.9982951,0.0001934616,0.00022773119,0.000076562945,0.0011124574,0.00009461794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010364747,0.00038277873,0.00041597092,0.0011795952,0.0011861732,0.0011980138,0.0007705662,0.000381351,0.0010055365],"category_scores_gemma":[0.0022817976,0.00025898806,0.00015200737,0.00075409445,0.00045128178,0.0005634661,0.0005675666,0.0005435202,0.00042256244],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048556167,0.00018793589,0.15170093,0.00016487145,0.000036544945,0.00052919163,0.0015612004,0.0096798325,0.60602534,0.0008867475,0.0021861144,0.22655575],"study_design_scores_gemma":[0.000066688495,0.00063530647,0.28181416,0.000064051186,0.00006815925,0.00054986594,0.0010550807,0.08944657,0.6088207,0.0005242351,0.016823472,0.00013179677],"about_ca_topic_score_codex":0.14096275,"about_ca_topic_score_gemma":0.41489342,"teacher_disagreement_score":0.14096275,"about_ca_system_score_codex":0.0025296563,"about_ca_system_score_gemma":0.00231719,"threshold_uncertainty_score":0.28028452},"labels":[],"label_agreement":null},{"id":"W2042536747","doi":"10.1300/j395v02n01_05","title":"Refining Hemp Fibers for Papermaking","year":2005,"lang":"en","type":"article","venue":"Journal of Natural Fibers","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Papermaking; Refining (metallurgy); Pulp (tooth); Pulp and paper industry; Kraft process; Pulpwood; Materials science; Kraft paper; Fiber; Mill; Environmental science; Composite material; Engineering; Mechanical engineering; Metallurgy","score_opus":0.008404793071906544,"score_gpt":0.23605408195270305,"score_spread":0.2276492888807965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042536747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97407,0.0014330487,0.016548224,0.000056850648,0.00003211627,0.0001061054,0.00029320116,0.00018159584,0.0072786976],"genre_scores_gemma":[0.98198605,0.0007597395,0.01405275,0.000023749559,0.000007912975,0.000018750896,0.00018126676,0.00004333334,0.0029264656],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997218,0.00002494558,0.00001528285,0.000054325006,0.0001448541,0.000038856295],"domain_scores_gemma":[0.9997894,0.000065513144,0.00003513686,0.00003098842,0.000055382046,0.000023458912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041094903,0.0004731053,0.0002677173,0.0006623924,0.00037806155,0.00038941822,0.00025769568,0.00023342678,0.0030215427],"category_scores_gemma":[0.00042725718,0.00015275624,0.0002344374,0.0005267893,0.00017478249,0.0005739232,0.00022736333,0.0004330581,0.00067859393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014529334,0.000027896187,0.0011196077,0.00009042564,0.000009410004,0.000132762,0.000037320075,0.000360008,0.97986275,0.00009261285,0.000071132694,0.018050749],"study_design_scores_gemma":[0.00000681138,0.00021093912,0.007013393,0.000007756439,0.00001379792,0.00014649081,0.000051157604,0.00066922454,0.9895745,0.00008102785,0.0022191545,0.0000056713293],"about_ca_topic_score_codex":0.0010503513,"about_ca_topic_score_gemma":0.005021357,"teacher_disagreement_score":0.0030215427,"about_ca_system_score_codex":0.00024910044,"about_ca_system_score_gemma":0.00024241561,"threshold_uncertainty_score":0.010108054},"labels":[],"label_agreement":null},{"id":"W2044182075","doi":"10.4028/www.scientific.net/msf.805.386","title":"High-Velocity Impact Comminution of Magnetite","year":2014,"lang":"en","type":"article","venue":"Materials science forum","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Comminution; Projectile; Materials science; Grinding; Breakage; Compressive strength; Magnetite; Specific energy; Impact energy; Composite material; Range (aeronautics); Ultimate tensile strength; Mechanics; Metallurgy; Physics","score_opus":0.006433997555577492,"score_gpt":0.22422655304875208,"score_spread":0.21779255549317458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044182075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998803,0.00007859351,0.0006259576,0.0000055567657,0.0000018838809,0.0000044441576,0.000029629004,0.0000088147945,0.00044212502],"genre_scores_gemma":[0.9988412,0.000055234043,0.00043691244,0.0000036092454,7.293202e-7,0.0000021897881,0.00007691933,0.0000046301484,0.00057864137],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998184,0.000012177293,0.0000064990977,0.000036846064,0.00007033157,0.000055734195],"domain_scores_gemma":[0.99984384,0.00003646474,0.00003945942,0.000016152255,0.000046449535,0.000017586292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013293173,0.00021116274,0.00015987884,0.00031121637,0.00026793688,0.0002294017,0.00025832764,0.00023823463,0.0009487292],"category_scores_gemma":[0.00025881972,0.000105068066,0.00019128295,0.00039720364,0.0001837278,0.00023581924,0.00024542073,0.00028028767,0.00012727232],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023652655,0.00004785663,0.0033058287,0.00005237779,0.000011463704,0.000090765185,0.000054377764,0.00068957696,0.99088377,0.00005923634,0.000025640005,0.004542583],"study_design_scores_gemma":[0.000006819215,0.00035194508,0.02116236,0.0000035127928,0.000009710775,0.00008480304,0.00007263799,0.0018160848,0.9759664,0.00001817424,0.0005025988,0.000004882237],"about_ca_topic_score_codex":0.003843672,"about_ca_topic_score_gemma":0.0070983707,"teacher_disagreement_score":0.003843672,"about_ca_system_score_codex":0.00039679583,"about_ca_system_score_gemma":0.00013742971,"threshold_uncertainty_score":0.007642567},"labels":[],"label_agreement":null},{"id":"W2044197877","doi":"10.1021/ie010500g","title":"Control of Particle Size Distributions in Emulsion Semibatch Polymerization Using Mid-Course Correction Policies","year":2002,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Emulsion polymerization; Emulsion; Nucleation; Particle (ecology); Particle-size distribution; Particle size; Materials science; Process (computing); Process engineering; Polymer; Controller (irrigation); Process control; Chemical engineering; Polymerization; Computer science; Biological system; Thermodynamics; Physics; Composite material; Engineering","score_opus":0.06943497320533334,"score_gpt":0.3128818803914298,"score_spread":0.24344690718609643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044197877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54820514,0.00028673888,0.4477362,0.000115931,0.000045112178,0.00007634955,0.00006964704,0.002265875,0.0011989131],"genre_scores_gemma":[0.9357975,0.00010091697,0.06288641,0.000038177757,0.000008096916,0.00005676926,0.00005808149,0.00010287686,0.00095117284],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956566,0.000054092583,0.000019823216,0.00013675514,0.00019062628,0.0000330638],"domain_scores_gemma":[0.99878484,0.0004902528,0.00029145967,0.00013649241,0.0002455615,0.00005144775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069361203,0.00038148917,0.00030506725,0.00026275738,0.00022714969,0.0005454357,0.0006577373,0.00025137246,0.00041393083],"category_scores_gemma":[0.0022088974,0.00025463663,0.00015100969,0.00022329029,0.00033152505,0.0004944849,0.00036126564,0.0006599325,0.00013522182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005094218,0.00022814561,0.0020134153,0.00006841986,0.000016501079,0.00006599481,0.00011869361,0.055508092,0.8445924,0.0017860786,0.00038167887,0.09471119],"study_design_scores_gemma":[0.000026975342,0.00023228985,0.0015230549,0.0000037603781,0.000008427744,0.000034742163,0.000012333216,0.28994218,0.70620334,0.0006727866,0.0013159639,0.000024183446],"about_ca_topic_score_codex":0.0014031323,"about_ca_topic_score_gemma":0.0019409399,"teacher_disagreement_score":0.0014031323,"about_ca_system_score_codex":0.00067534,"about_ca_system_score_gemma":0.00051222055,"threshold_uncertainty_score":0.004899919},"labels":[],"label_agreement":null},{"id":"W2044300731","doi":"10.1155/2007/48238","title":"Modelling of the Separation Process in a FerrohydrostaticSeparator Using Discrete Element Method","year":2007,"lang":"en","type":"article","venue":"Physical Separation in Science and Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"De Beers (Canada)","funders":"","keywords":"Algorithm; Computer science","score_opus":0.030812170287947596,"score_gpt":0.34983702682159146,"score_spread":0.3190248565336439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044300731","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.098569654,0.00030156385,0.8861411,0.0002605298,0.00006690716,0.0001246229,0.00033780266,0.0005978358,0.013599998],"genre_scores_gemma":[0.7803542,0.00068595685,0.19168231,0.00009268489,0.000025908574,0.00046498008,0.00041686252,0.00016318819,0.026113871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998672,0.000026242174,0.00000685839,0.000024240551,0.00005560944,0.000019681565],"domain_scores_gemma":[0.9998313,0.00009761765,0.000017765527,0.000012648087,0.000030087096,0.000010554798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024280327,0.00042354528,0.0006781252,0.00028393182,0.00048220146,0.00074528076,0.0009391928,0.0016484241,0.0025644128],"category_scores_gemma":[0.00039412806,0.00038911574,0.0006197002,0.0002536444,0.0005752452,0.0005408618,0.00038100794,0.0006002454,0.0005285532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025840885,0.000020634281,0.00028546175,0.000047125388,0.000008887787,0.000052828036,0.000054246368,0.9849908,0.007251612,0.0037278861,0.000110485016,0.0034241711],"study_design_scores_gemma":[0.0000065938043,0.000008613904,0.000059716273,0.0000033313127,0.0000026412029,0.00001256505,0.000005957148,0.9975848,0.0012126631,0.00036908555,0.0007305909,0.0000033614517],"about_ca_topic_score_codex":0.0085570235,"about_ca_topic_score_gemma":0.0039200447,"teacher_disagreement_score":0.0085570235,"about_ca_system_score_codex":0.00065412594,"about_ca_system_score_gemma":0.0011276986,"threshold_uncertainty_score":0.017014444},"labels":[],"label_agreement":null},{"id":"W2045937649","doi":"10.1016/j.ces.2004.09.084","title":"Residence time distribution of particles in a continuous liquid–solid classifier","year":2005,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Arithmetic underflow; Residence time distribution; TRACER; Mixing (physics); Chemistry; Hydrocyclone; Particle-size distribution; Analytical Chemistry (journal); Mineralogy; Particle (ecology); Particle density; Particle size; Mechanics; Chromatography; Thermodynamics; Geology; Volume (thermodynamics); Physics; Nuclear physics","score_opus":0.008050286444610392,"score_gpt":0.22271136131015493,"score_spread":0.21466107486554453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045937649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.925648,0.000117217125,0.0730205,0.00007792425,0.000016042588,0.000014439894,0.00012265367,0.00028301383,0.0007002429],"genre_scores_gemma":[0.9937168,0.000025853416,0.0050760517,0.0000103468965,0.000007145887,0.0000065821587,0.00014773273,0.000026907104,0.0009827218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998318,0.000014247768,0.00000802308,0.000060994917,0.000048478065,0.000036455436],"domain_scores_gemma":[0.99847025,0.0010166985,0.00015124849,0.000055544613,0.00020613389,0.000100054895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000548445,0.00017396081,0.0003791774,0.0004914873,0.00031194626,0.00089265,0.00046385077,0.000739929,0.0013617967],"category_scores_gemma":[0.0017320565,0.00019344046,0.00022179798,0.00028646053,0.00038104737,0.00068118604,0.00025508011,0.0003429222,0.0002996569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0049927165,0.00048918964,0.03486136,0.00014452368,0.000080051,0.0006433427,0.00016105078,0.45050997,0.41878855,0.0054544825,0.001015304,0.082859516],"study_design_scores_gemma":[0.000014735479,0.000099615965,0.002793836,0.0000014300688,0.000010009224,0.000035392568,0.000009438985,0.9598613,0.036801297,0.00024357467,0.00012248357,0.0000067620217],"about_ca_topic_score_codex":0.0050594294,"about_ca_topic_score_gemma":0.0027486952,"teacher_disagreement_score":0.0050594294,"about_ca_system_score_codex":0.0012223196,"about_ca_system_score_gemma":0.00051936455,"threshold_uncertainty_score":0.010059953},"labels":[],"label_agreement":null},{"id":"W2046148077","doi":"10.1016/j.mineng.2010.09.008","title":"Estimation of gold inventory in large carbon in leach tanks","year":2010,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Agnico Eagle (Canada)","funders":"","keywords":"Gold mining; Environmental science; Coal; Carbon fibers; Waste management; Activated carbon; Contamination; Pulp and paper industry; Adsorption; Chemistry; Engineering; Metallurgy; Materials science","score_opus":0.006471197396453234,"score_gpt":0.20853469069039604,"score_spread":0.2020634932939428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046148077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99764985,0.000040502357,0.0014732212,0.000012338887,0.0000022678903,0.0000057047114,0.00019935085,0.000034017077,0.00058276945],"genre_scores_gemma":[0.99803644,0.00003333509,0.0013017349,0.000003372551,0.0000010803464,0.0000039533106,0.00016144327,0.0000069656985,0.0004517153],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998863,0.000011580042,0.000006074128,0.000037991336,0.000038922517,0.00001913915],"domain_scores_gemma":[0.99973994,0.00009436593,0.000035386685,0.000016007234,0.000084024585,0.000030297582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027967984,0.00032457322,0.0002703312,0.000825414,0.00042464244,0.00056402414,0.000405527,0.00049525546,0.00053244137],"category_scores_gemma":[0.0004532129,0.00019376444,0.00023309163,0.00050269335,0.0002501901,0.000508977,0.00029595118,0.00020637899,0.0001766983],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029682869,0.00029030725,0.4874141,0.00016224805,0.00018657894,0.00057632243,0.00020371066,0.19111516,0.28819135,0.00083271874,0.00038551923,0.027673688],"study_design_scores_gemma":[0.00008384749,0.0004022926,0.24941461,0.000019737829,0.00008617306,0.00010946501,0.00047172967,0.5622136,0.18566921,0.0006454406,0.0008199552,0.00006398893],"about_ca_topic_score_codex":0.026259348,"about_ca_topic_score_gemma":0.029390486,"teacher_disagreement_score":0.026259348,"about_ca_system_score_codex":0.0012183326,"about_ca_system_score_gemma":0.0006110068,"threshold_uncertainty_score":0.052213013},"labels":[],"label_agreement":null},{"id":"W2046478982","doi":"10.3997/2214-4609.201401606","title":"Post-Mining Reconciliation of BHR Predicted Resource Elevation Models","year":2007,"lang":"en","type":"article","venue":"69th EAGE Conference and Exhibition incorporating SPE EUROPEC 2007","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Elevation (ballistics); Resource (disambiguation); Mining engineering; Environmental science; Archaeology; Engineering; Geography; Computer science","score_opus":0.028122651432433386,"score_gpt":0.22719729629892282,"score_spread":0.19907464486648943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046478982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5411371,0.0009951063,0.38512218,0.002003957,0.0009610507,0.0004183972,0.014122961,0.02889397,0.02634526],"genre_scores_gemma":[0.86849856,0.0001522558,0.11476299,0.00011391485,0.00008679436,0.00009393555,0.01305635,0.0013871467,0.0018480355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982064,0.00056947744,0.00015108976,0.00032783308,0.00057275186,0.00017247505],"domain_scores_gemma":[0.993683,0.00125368,0.00038686444,0.002222363,0.002327288,0.00012675903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003553939,0.0008506922,0.001094039,0.0025252553,0.00090300274,0.0017863476,0.0017861351,0.0010417079,0.0035195348],"category_scores_gemma":[0.011874127,0.00069824734,0.0014590403,0.0024641845,0.00036567924,0.0018665866,0.0017404559,0.0012425274,0.0022597085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079829514,0.00033312564,0.052650046,0.00021965042,0.0005046422,0.00053812045,0.0004810838,0.64468724,0.0049934573,0.0033407037,0.022829074,0.2686246],"study_design_scores_gemma":[0.00008002399,0.000075647076,0.01987776,0.000047216992,0.000072024784,0.00014446113,0.00022667139,0.96082395,0.0046380786,0.001669366,0.012272077,0.00007269366],"about_ca_topic_score_codex":0.016145062,"about_ca_topic_score_gemma":0.01875588,"teacher_disagreement_score":0.016145062,"about_ca_system_score_codex":0.0007981083,"about_ca_system_score_gemma":0.0017000563,"threshold_uncertainty_score":0.032102168},"labels":[],"label_agreement":null},{"id":"W2046611888","doi":"10.1144/1467-7873/07-128","title":"Strategies for reducing sampling errors in exploration and resource definition drilling programmes for gold deposits","year":2007,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"","keywords":"Drilling; Sampling (signal processing); Resource (disambiguation); Computer science; Geology; Mining engineering; Environmental resource management; Environmental science; Engineering; Computer vision","score_opus":0.04005473498507577,"score_gpt":0.25114215885702357,"score_spread":0.2110874238719478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046611888","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09027959,0.0020248664,0.8846321,0.0054389327,0.00038878675,0.0065019894,0.00022922663,0.0017464231,0.008757974],"genre_scores_gemma":[0.19551748,0.00069768884,0.79689413,0.0012784299,0.00010503463,0.002503899,0.00025406323,0.00019458466,0.002554732],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.92327815,0.04065638,0.006965434,0.003906295,0.02327348,0.0019203104],"domain_scores_gemma":[0.85764265,0.05571725,0.023084424,0.0145684555,0.047083173,0.0019039748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08083722,0.0014870536,0.0011287271,0.0046534203,0.0026488903,0.0036615788,0.004445796,0.0019332313,0.002441335],"category_scores_gemma":[0.15181933,0.0009320723,0.0007680261,0.0034393931,0.0023291016,0.0028344537,0.004891434,0.0020993073,0.0012059973],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077730336,0.0012533972,0.049502313,0.0020483052,0.00021640751,0.0005687803,0.009333179,0.02855494,0.0343158,0.013751968,0.010207569,0.8494701],"study_design_scores_gemma":[0.0011426691,0.011127624,0.23095626,0.007596955,0.0010380034,0.0029257142,0.024841875,0.16966023,0.24689604,0.06808701,0.23464093,0.0010867129],"about_ca_topic_score_codex":0.009428983,"about_ca_topic_score_gemma":0.015260577,"teacher_disagreement_score":0.08083722,"about_ca_system_score_codex":0.003997152,"about_ca_system_score_gemma":0.012905406,"threshold_uncertainty_score":0.42751318},"labels":[],"label_agreement":null},{"id":"W2046662483","doi":"10.1016/j.mineng.2011.04.025","title":"The effects of chrysotile mineralogical properties on the rheology of chrysotile suspensions","year":2011,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Chrysotile; Brucite; Rheology; Materials science; Mineral; Surface charge; Mineralogy; Point of zero charge; Composite material; Chemical engineering; Chemistry; Metallurgy; Magnesium; Ion","score_opus":0.021597368537152422,"score_gpt":0.17416553392970113,"score_spread":0.15256816539254872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046662483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986854,0.00019391948,0.0003107724,0.000047110527,0.000011819636,0.0000074316017,0.0001084742,0.000009003283,0.00062600756],"genre_scores_gemma":[0.99911386,0.00009420122,0.00021196852,0.000016987919,0.0000038796443,0.000004148654,0.00008572253,0.0000072184334,0.00046199205],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978024,0.000047457153,0.000022202285,0.0000352562,0.00006141553,0.000053565735],"domain_scores_gemma":[0.99920815,0.0004435039,0.00009727178,0.000042475123,0.00012834516,0.000080305304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027748174,0.00019981008,0.00017451555,0.00016083264,0.00027216267,0.00043692582,0.00015488664,0.00026038644,0.0017685941],"category_scores_gemma":[0.0010962229,0.00013189965,0.00015569942,0.0001813375,0.00028259392,0.00037731475,0.00014902097,0.0005968738,0.0002111287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040891216,0.000027730868,0.00043145067,0.000028746388,0.000006161125,0.000040316674,0.000057374164,0.00014422872,0.99789125,0.00003257103,0.000031886608,0.00089948584],"study_design_scores_gemma":[0.000009135748,0.00021857338,0.0036052007,0.0000025417685,0.000005649241,0.00002151926,0.000039558206,0.0006207201,0.9951708,0.000014894575,0.00028473596,0.0000066034736],"about_ca_topic_score_codex":0.0017147696,"about_ca_topic_score_gemma":0.0023749662,"teacher_disagreement_score":0.0017685941,"about_ca_system_score_codex":0.00027027525,"about_ca_system_score_gemma":0.0002512002,"threshold_uncertainty_score":0.005916536},"labels":[],"label_agreement":null},{"id":"W2052382406","doi":"10.1115/ipc2008-64214","title":"Design and Construction of 42” Liquids Pipeline Batch Pig Facilities","year":2008,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Launched; Control room; Engineering; Remote control; Computer science; Marine engineering; Automotive engineering; Operating system; Electrical engineering","score_opus":0.023056971402928474,"score_gpt":0.20015326698060185,"score_spread":0.17709629557767337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052382406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4724326,0.0002285927,0.45367727,0.0006306719,0.00025361936,0.0038845495,0.0012885199,0.0048430334,0.062761195],"genre_scores_gemma":[0.62721264,0.00033479786,0.32253078,0.00019372642,0.00004335704,0.0019121306,0.0019368051,0.0002157379,0.04561996],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992023,0.0000766554,0.00003694655,0.00013029143,0.00039109433,0.00016281694],"domain_scores_gemma":[0.9995609,0.000024909476,0.000051560943,0.00006895762,0.00018030466,0.00011329391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007454001,0.0005014141,0.00028220782,0.00070797553,0.00080226705,0.0007820819,0.0016758746,0.00070259045,0.008594403],"category_scores_gemma":[0.00049481425,0.00048343508,0.00037785486,0.00046078817,0.0004489419,0.0009059656,0.001235658,0.000707099,0.002841445],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011619781,0.0009975057,0.02513072,0.00075604295,0.000045794506,0.0020504901,0.000970359,0.05304395,0.535217,0.02223573,0.018763144,0.33962727],"study_design_scores_gemma":[0.0005059563,0.019122785,0.066669695,0.00027675566,0.00012182214,0.002319128,0.001939699,0.14383678,0.2959207,0.0033231352,0.46561152,0.00035204212],"about_ca_topic_score_codex":0.003750078,"about_ca_topic_score_gemma":0.0062296144,"teacher_disagreement_score":0.008594403,"about_ca_system_score_codex":0.0010584026,"about_ca_system_score_gemma":0.0023873842,"threshold_uncertainty_score":0.028751135},"labels":[],"label_agreement":null},{"id":"W2052558570","doi":"10.1002/cjce.20278","title":"Mixing intensification for the mineral industry","year":2010,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Slurry; Mineral processing; Mixing (physics); Baffle; Agitator; Leaching (pedology); Environmental science; Mineral; Bauxite; Metallurgy; Process engineering; Waste management; Materials science; Environmental engineering; Engineering; Impeller; Chemical engineering; Mechanical engineering","score_opus":0.012239633604606963,"score_gpt":0.19976897248269895,"score_spread":0.18752933887809198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052558570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72289515,0.01697022,0.13398565,0.002755448,0.00031184749,0.00084507733,0.0002211797,0.0019395931,0.12007579],"genre_scores_gemma":[0.93253773,0.0037856682,0.052989334,0.00020080036,0.00011940014,0.00008758975,0.00013798424,0.000043609227,0.010097878],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980384,0.000031767344,0.000011562976,0.000036354984,0.00007655817,0.000039957624],"domain_scores_gemma":[0.9998729,0.000026718444,0.000032503518,0.000018803434,0.000030327807,0.000018686575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043688336,0.000450515,0.00022288573,0.0006496672,0.00043928358,0.0006967042,0.00040454802,0.00056464056,0.0050349142],"category_scores_gemma":[0.00029720776,0.00018458998,0.0004026971,0.000506367,0.0003107521,0.0006739988,0.000637488,0.0006931198,0.00059141376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004016714,0.000408193,0.002391032,0.00073055545,0.000031998803,0.0003354452,0.00019385957,0.007928195,0.6346281,0.018161453,0.0019609919,0.3328286],"study_design_scores_gemma":[0.00018642138,0.0017032181,0.01651684,0.0001720614,0.00015952448,0.00046622,0.00016343073,0.026571432,0.7971644,0.008316737,0.14851448,0.00006520856],"about_ca_topic_score_codex":0.0012859054,"about_ca_topic_score_gemma":0.001929582,"teacher_disagreement_score":0.0050349142,"about_ca_system_score_codex":0.0009668395,"about_ca_system_score_gemma":0.0004814503,"threshold_uncertainty_score":0.016843498},"labels":[],"label_agreement":null},{"id":"W2052868693","doi":"10.4018/jgee.2010070101","title":"Production Blast-Induced Vibrations in Longhole Open Stoping","year":2010,"lang":"en","type":"article","venue":"International Journal of Geotechnical Earthquake Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Stoping; Rock blasting; Transverse plane; Engineering; Explosive material; Mining engineering; Geotechnical engineering; Vibration; Attenuation; Structural engineering; Geology; Acoustics","score_opus":0.01294932092860511,"score_gpt":0.2596895043535866,"score_spread":0.2467401834249815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052868693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899159,0.000053212425,0.007890547,0.000009521319,0.0000052822675,0.00001639678,0.000015491607,0.000037173777,0.0020563744],"genre_scores_gemma":[0.99755764,0.000021922333,0.0013569666,0.0000033511433,0.0000014207832,0.0000049180644,0.000024017047,0.000008385592,0.0010213419],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99978787,0.000019933645,0.000006200116,0.000019624116,0.00012768079,0.00003869057],"domain_scores_gemma":[0.9997516,0.000071446964,0.000047986257,0.000018302993,0.000083052815,0.000027565467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023086258,0.00017426928,0.00013280984,0.00022587871,0.00028468753,0.00021809852,0.00017816594,0.0001998255,0.0011677725],"category_scores_gemma":[0.00045187798,0.00014005613,0.00010247443,0.0001497153,0.0004224779,0.00015264093,0.00027538725,0.0001340101,0.00019760699],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007342475,0.00008945289,0.020739397,0.00012421484,0.000010853491,0.0008307801,0.00070107833,0.007552769,0.92620987,0.00060055463,0.00020430758,0.042202488],"study_design_scores_gemma":[0.00016037641,0.003357328,0.46105072,0.000046575085,0.000046021632,0.0012975706,0.0023631058,0.029985322,0.49242815,0.0009950418,0.008217543,0.00005228858],"about_ca_topic_score_codex":0.0013482351,"about_ca_topic_score_gemma":0.0046147825,"teacher_disagreement_score":0.0013482351,"about_ca_system_score_codex":0.00024782878,"about_ca_system_score_gemma":0.0002141657,"threshold_uncertainty_score":0.0039066076},"labels":[],"label_agreement":null},{"id":"W2054936051","doi":"10.1002/cjce.20248","title":"Soft measurement of pulp suspension flow velocity based on wavelet transform","year":2010,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pulp (tooth); Consistency (knowledge bases); Doppler effect; Wavelet; Acoustics; Mathematics; Materials science; Computer science; Artificial intelligence; Physics; Dentistry; Medicine","score_opus":0.010993419981829625,"score_gpt":0.17816742424044513,"score_spread":0.1671740042586155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054936051","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26981413,0.0004454243,0.72617203,0.00008739163,0.000101994956,0.000056088746,0.00014689346,0.00047424936,0.0027017803],"genre_scores_gemma":[0.8406279,0.00030303188,0.15696192,0.000029017923,0.00004235949,0.000038452,0.000106688545,0.000040464485,0.0018501547],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996643,0.00004459171,0.000014742641,0.00005250706,0.00020152733,0.00002235013],"domain_scores_gemma":[0.9995152,0.00018950827,0.000082926104,0.000045271237,0.00013245072,0.00003461625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004711876,0.00036417771,0.0003774601,0.0008693269,0.00014852927,0.0005162629,0.00029420078,0.00033441372,0.0010447352],"category_scores_gemma":[0.0010980185,0.0001671085,0.00016714596,0.0005936015,0.00030305487,0.0006560964,0.00034499294,0.00047590304,0.00027164523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040827622,0.000069967035,0.0034213413,0.0001996059,0.000028560924,0.00010498468,0.00010998995,0.005550489,0.7395393,0.0027114525,0.00036888235,0.24748711],"study_design_scores_gemma":[0.00006911901,0.00058962824,0.01916063,0.0000496454,0.000077377365,0.0003908341,0.00009696313,0.41686332,0.5564951,0.0024052586,0.0037196523,0.00008254983],"about_ca_topic_score_codex":0.0005219389,"about_ca_topic_score_gemma":0.00044544917,"teacher_disagreement_score":0.0010447352,"about_ca_system_score_codex":0.00021206767,"about_ca_system_score_gemma":0.00024090918,"threshold_uncertainty_score":0.0034949183},"labels":[],"label_agreement":null},{"id":"W2057458172","doi":"10.5539/mas.v2n6p37","title":"The Analysis of Vibro-Acoustic Coupled Characteristics of Ball Mill Cylinder Under Impact Excitation","year":2008,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Modal; Acoustics; Excitation; Finite element method; Cylinder; Materials science; Acoustic radiation; Modal analysis; Shell (structure); Sound pressure; Coupling (piping); Ball (mathematics); Structural acoustics; Structural engineering; Physics; Radiation; Vibration; Mechanical engineering; Optics; Composite material; Engineering; Mathematics; Geometry","score_opus":0.016513623567146245,"score_gpt":0.24502018180095234,"score_spread":0.22850655823380608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057458172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87176496,0.00014328929,0.1231875,0.00006453426,0.000014471773,0.000041205338,0.00004752621,0.00017671421,0.0045598103],"genre_scores_gemma":[0.9963522,0.000040670857,0.002566923,0.000008692778,0.0000022387603,0.000010677126,0.00003088492,0.000017288394,0.0009703804],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969006,0.000026404221,0.0000065712966,0.000041467476,0.0002062954,0.000029293502],"domain_scores_gemma":[0.99944896,0.00026028542,0.00009796261,0.000040613377,0.000117747666,0.00003448065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025297323,0.0002616013,0.00035698307,0.00034190793,0.00022423221,0.00035061923,0.0004794375,0.0005380146,0.0010334251],"category_scores_gemma":[0.0009612577,0.00022253048,0.00028072734,0.00025129624,0.0005825804,0.0005846209,0.00039258425,0.00028267584,0.00016356481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045623776,0.00008994853,0.005330472,0.00027489872,0.000052748925,0.00094633066,0.0008175646,0.27285525,0.6867487,0.0037584952,0.00027600635,0.028393336],"study_design_scores_gemma":[0.0000075150574,0.0001482956,0.0078006205,0.000008911655,0.000013241464,0.00023001154,0.00011271701,0.9395111,0.05101501,0.00044123657,0.00068079046,0.00003059824],"about_ca_topic_score_codex":0.0016822354,"about_ca_topic_score_gemma":0.0015246919,"teacher_disagreement_score":0.0016822354,"about_ca_system_score_codex":0.0002836634,"about_ca_system_score_gemma":0.00028409157,"threshold_uncertainty_score":0.003457129},"labels":[],"label_agreement":null},{"id":"W2057485846","doi":"10.1016/j.mineng.2006.10.008","title":"Statistical benchmark surveying of production concentrators","year":2006,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Benchmark (surveying); Outlier; Replicate; Sampling (signal processing); Statistics; Suite; Anomaly detection; Field (mathematics); Set (abstract data type); Computer science; Variogram; Engineering; Data mining; Kriging; Mathematics; Geography; Cartography","score_opus":0.0052242925522237894,"score_gpt":0.18428294877673096,"score_spread":0.17905865622450717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057485846","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4505776,0.00021529353,0.5088811,0.0004119478,0.00009563619,0.0046265684,0.006836884,0.0022705172,0.026084505],"genre_scores_gemma":[0.7909534,0.00019641168,0.18295595,0.00015630838,0.00005923966,0.0037995584,0.0095143365,0.00033379658,0.012031096],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98350394,0.0048815636,0.0009661202,0.0020194417,0.007773481,0.0008555278],"domain_scores_gemma":[0.9550094,0.005977857,0.0045687645,0.008347755,0.025114467,0.0009817503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014519782,0.0006584319,0.0006938077,0.0038175138,0.0014067313,0.0014261445,0.002337361,0.0006629599,0.0030446143],"category_scores_gemma":[0.035289977,0.00032841298,0.00042423018,0.0049678516,0.0011713682,0.00082609785,0.0018595309,0.0006834411,0.0010652422],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012883982,0.000624915,0.23274618,0.00040386853,0.00015533854,0.00033261385,0.0039194203,0.08707274,0.029525569,0.017751202,0.01969912,0.60648066],"study_design_scores_gemma":[0.0001682514,0.0069253757,0.65182847,0.00017604485,0.000091931906,0.0003734113,0.005826542,0.15964955,0.057739172,0.016075883,0.100857355,0.00028806186],"about_ca_topic_score_codex":0.02153023,"about_ca_topic_score_gemma":0.025468988,"teacher_disagreement_score":0.02153023,"about_ca_system_score_codex":0.003978185,"about_ca_system_score_gemma":0.0044375956,"threshold_uncertainty_score":0.07678884},"labels":[],"label_agreement":null},{"id":"W2059983833","doi":"10.1016/j.mineng.2003.09.006","title":"Fracture toughness and surface energies of covalent minerals: theoretical estimates","year":2003,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Materials science; Fracture toughness; Comminution; Stress intensity factor; Composite material; Fracture mechanics; Brittleness; Toughness; Surface energy; Diamond; Metallurgy","score_opus":0.006709659456810197,"score_gpt":0.20938689805728958,"score_spread":0.20267723860047937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059983833","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27648005,0.009699488,0.5526579,0.0041920473,0.00045614626,0.00015386431,0.0007685685,0.0004490641,0.15514286],"genre_scores_gemma":[0.95457983,0.0052911364,0.02751961,0.00028541786,0.00046460025,0.00021225406,0.00029514742,0.00014294981,0.011208961],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996933,0.00004922663,0.000011027883,0.00005541824,0.00014084385,0.00005012507],"domain_scores_gemma":[0.9982657,0.0012317668,0.00011674011,0.00016050297,0.00017135646,0.00005394429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010709071,0.0010903775,0.00080718513,0.0031088204,0.001013225,0.0010488959,0.0025867317,0.001421047,0.00749703],"category_scores_gemma":[0.005247499,0.00068493857,0.0010307977,0.001380347,0.0028842732,0.002657186,0.0016903798,0.0018477399,0.0009841879],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037446203,0.000079060774,0.0009754881,0.00034302208,0.00003450232,0.00014875828,0.00012787177,0.19875386,0.0041082213,0.77927095,0.0016403247,0.014480533],"study_design_scores_gemma":[0.00001679332,0.000018923925,0.0022816372,0.000085997905,0.0000301043,0.00018134278,0.00011564406,0.584596,0.00253243,0.40806314,0.0020404586,0.00003749643],"about_ca_topic_score_codex":0.001918432,"about_ca_topic_score_gemma":0.0024674772,"teacher_disagreement_score":0.00749703,"about_ca_system_score_codex":0.00089291367,"about_ca_system_score_gemma":0.0004156404,"threshold_uncertainty_score":0.025080085},"labels":[],"label_agreement":null},{"id":"W2063733855","doi":"10.1016/j.fuproc.2010.09.027","title":"Estimation of free-swelling index based on coal analysis using multivariable regression and artificial neural network","year":2010,"lang":"en","type":"article","venue":"Fuel Processing Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Multivariable calculus; Artificial neural network; Regression analysis; Regression; Linear regression; Statistics; Index (typography); Proximate; Range (aeronautics); Swelling; Computer science; Mathematics; Biological system; Artificial intelligence; Chemistry; Materials science; Engineering; Composite material; Biology","score_opus":0.013387804251956677,"score_gpt":0.2515444603552597,"score_spread":0.238156656103303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063733855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65474766,0.00020257916,0.34320688,0.00004494717,0.00002851463,0.000029713732,0.00009668082,0.00043015607,0.0012129222],"genre_scores_gemma":[0.9863327,0.00005186303,0.01316702,0.000004480269,0.000007672263,0.0000106454445,0.00006774111,0.00001417663,0.00034363178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997557,0.00004583268,0.00001766842,0.000054053715,0.000102900725,0.000023987563],"domain_scores_gemma":[0.9995209,0.00020400276,0.00008108356,0.000026188241,0.00014664035,0.000021157784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004971088,0.00044780606,0.00057787,0.0009878784,0.00023458831,0.00047031845,0.00038221502,0.00036605753,0.00049080123],"category_scores_gemma":[0.0011416918,0.00019688312,0.00046791622,0.0007995608,0.00015951642,0.00087091944,0.00028591018,0.00027990554,0.00015158343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006812009,0.0004489814,0.060612652,0.00025967372,0.00023256555,0.00020420559,0.00011585169,0.5243804,0.1310045,0.0014264958,0.00066945667,0.27996403],"study_design_scores_gemma":[0.0000039880674,0.0000362752,0.00988854,0.0000013269893,0.0000155133,0.000015441461,0.00000916483,0.98263884,0.007120869,0.00019756325,0.000060335035,0.000012102261],"about_ca_topic_score_codex":0.0029734601,"about_ca_topic_score_gemma":0.0033318298,"teacher_disagreement_score":0.0029734601,"about_ca_system_score_codex":0.0002800678,"about_ca_system_score_gemma":0.0002678932,"threshold_uncertainty_score":0.005912304},"labels":[],"label_agreement":null},{"id":"W2063784502","doi":"10.1007/s11837-004-0094-6","title":"Diagnostic microbeam technology in gold ore processing","year":2004,"lang":"en","type":"article","venue":"JOM","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Microbeam; Gold ore; Materials science; Metallurgy; Optics; Physics","score_opus":0.005335870292369778,"score_gpt":0.204321926409475,"score_spread":0.1989860561171052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063784502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54918206,0.11480864,0.27813187,0.0062188916,0.0016123893,0.00029917492,0.00034593197,0.0013571155,0.048043884],"genre_scores_gemma":[0.8687002,0.014768189,0.08902969,0.00058563176,0.00028573576,0.000100951605,0.00014535313,0.00005782029,0.026326466],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997675,0.000050330553,0.000008668133,0.000043166514,0.00009803589,0.000032193126],"domain_scores_gemma":[0.9998117,0.00008749909,0.000023177301,0.000013417781,0.000048489437,0.000015755448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004687917,0.00042584885,0.0004669778,0.0010338854,0.0005271751,0.0009245767,0.0006165639,0.0010124737,0.0016311886],"category_scores_gemma":[0.0005912751,0.00033757128,0.00023115311,0.00040790933,0.0010308007,0.0009602994,0.0005210752,0.0008756108,0.0006400211],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039213823,0.000080636644,0.0010113739,0.00046669066,0.000013787675,0.0005501113,0.00020204941,0.0006202381,0.9024352,0.02009592,0.0014648811,0.072667055],"study_design_scores_gemma":[0.000024402256,0.00025479347,0.00090134284,0.000025702788,0.00001783956,0.0009325496,0.000082293795,0.005009811,0.97413117,0.001680537,0.01691962,0.00001979067],"about_ca_topic_score_codex":0.000749395,"about_ca_topic_score_gemma":0.0010426824,"teacher_disagreement_score":0.0016311886,"about_ca_system_score_codex":0.0009738374,"about_ca_system_score_gemma":0.00038450662,"threshold_uncertainty_score":0.0070657134},"labels":[],"label_agreement":null},{"id":"W2063864147","doi":"10.1109/icassp.2008.4517775","title":"Computing oil sand particle size distribution by snake-PCA algorithm","year":2008,"lang":"en","type":"article","venue":"Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Initialization; Discriminative model; Artificial intelligence; Pattern recognition (psychology); Computer science; Computation; Automation; Point distribution model; Algorithm; Computer vision; Engineering","score_opus":0.023524028816988094,"score_gpt":0.2455087605907044,"score_spread":0.2219847317737163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063864147","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03596329,0.000047990958,0.961811,0.000043730663,0.0000105647905,0.000028392706,0.000064093816,0.0015540392,0.0004769391],"genre_scores_gemma":[0.2731714,0.00012561512,0.7245593,0.000035632245,0.000015618398,0.000062923355,0.00035905978,0.00026460364,0.001405847],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998185,0.00001960115,0.000010073952,0.00005373479,0.000073296585,0.000024799167],"domain_scores_gemma":[0.9996234,0.00011605579,0.000043015243,0.00004691502,0.0001473603,0.00002311511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045320278,0.00055477617,0.0006529892,0.0017661192,0.00034522227,0.00070603477,0.00074489875,0.000792572,0.0013261763],"category_scores_gemma":[0.0013165753,0.00047471395,0.0006876054,0.0011652563,0.00035122977,0.0008159967,0.00047512865,0.00051152747,0.000747501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036751098,0.00012957308,0.008890002,0.00014933539,0.0001090345,0.00029337214,0.00021169188,0.24726056,0.11236389,0.007494157,0.0047811326,0.6179498],"study_design_scores_gemma":[0.000008473733,0.000017561268,0.0016569878,0.0000027354133,0.000007242296,0.00007210198,0.000019449008,0.98456687,0.011222807,0.0017445646,0.0006685154,0.0000126879295],"about_ca_topic_score_codex":0.0028102829,"about_ca_topic_score_gemma":0.0022457307,"teacher_disagreement_score":0.0028102829,"about_ca_system_score_codex":0.00035448888,"about_ca_system_score_gemma":0.000699043,"threshold_uncertainty_score":0.005587876},"labels":[],"label_agreement":null},{"id":"W2066526732","doi":"10.1139/v02-039","title":"Sampling variance as a function of single-increment size for estimation of bitumen in an oil-sand core","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Variogram; Sampling (signal processing); Statistics; Range (aeronautics); Logarithm; Fractal dimension; Fractal; Geostatistics; Core (optical fiber); Function (biology); Variance (accounting); Mineralogy; Mathematics; Chemistry; Mathematical analysis; Spatial variability; Physics; Kriging; Materials science; Optics","score_opus":0.034296638346080044,"score_gpt":0.2349423034581171,"score_spread":0.20064566511203705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066526732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92102206,0.00015361766,0.07781704,0.000037756363,0.0000063472676,0.000024378898,0.0002054969,0.0003805044,0.00035277533],"genre_scores_gemma":[0.98223567,0.000039702783,0.017343258,0.0000066666635,0.0000035082871,0.000017917067,0.0002313716,0.00003605697,0.00008581389],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989531,0.0004911994,0.00006979085,0.00020040132,0.00023633863,0.000049055314],"domain_scores_gemma":[0.99091583,0.0072816056,0.0006737725,0.00058633793,0.00045533502,0.00008705575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027482884,0.00022514978,0.0002859884,0.0013750775,0.00016437954,0.0003173378,0.00032342263,0.00034186736,0.00025333214],"category_scores_gemma":[0.013098076,0.0001597871,0.0003996687,0.00096048415,0.00028347687,0.00039981486,0.00025291945,0.00025343918,0.0000902377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006537153,0.00008985731,0.7763951,0.00016018095,0.0003774406,0.0003088906,0.00062653807,0.057377476,0.06001016,0.0016372803,0.00041071427,0.10195264],"study_design_scores_gemma":[0.000019441432,0.00021554713,0.50306875,0.000019098958,0.00009879578,0.0006767821,0.00011978038,0.46543205,0.02844144,0.001159027,0.000673099,0.00007616675],"about_ca_topic_score_codex":0.0030753377,"about_ca_topic_score_gemma":0.004822153,"teacher_disagreement_score":0.0030753377,"about_ca_system_score_codex":0.000429921,"about_ca_system_score_gemma":0.00034133135,"threshold_uncertainty_score":0.014534533},"labels":[],"label_agreement":null},{"id":"W2067600786","doi":"10.1016/j.engfracmech.2012.11.021","title":"Automated microscopy and particle size analysis of dynamic fragmentation in natural ceramics","year":2012,"lang":"en","type":"article","venue":"Engineering Fracture Mechanics","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Fragmentation (computing); Materials science; Ceramic; Microscopy; Particle size; Composite material; Nanotechnology; Optics; Physics; Computer science; Chemical engineering; Engineering","score_opus":0.002980084441312184,"score_gpt":0.22668931971755396,"score_spread":0.22370923527624179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067600786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93488216,0.0005675607,0.062075306,0.00007824823,0.000025164885,0.000056110654,0.0003259507,0.00040945708,0.0015799796],"genre_scores_gemma":[0.93938833,0.00021779381,0.058171064,0.000037511738,0.000019173816,0.000053755226,0.00034638424,0.0000701774,0.0016957936],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996557,0.000021978163,0.000015100719,0.00007606066,0.00019158192,0.000039499057],"domain_scores_gemma":[0.99927765,0.00023244912,0.00008156883,0.00011614638,0.00025265466,0.000039515835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039434715,0.00014183228,0.00020347566,0.00093192543,0.00041436017,0.0003146683,0.00061691983,0.00036607444,0.0012404226],"category_scores_gemma":[0.0006591612,0.00025261292,0.00019050359,0.0004256155,0.0003953309,0.0003787424,0.00033521396,0.0003913439,0.00023127369],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016049227,0.00003936725,0.0042891554,0.00005173524,0.000012460203,0.000041842846,0.0001237445,0.0008268446,0.9718193,0.0004109035,0.00023295193,0.021991204],"study_design_scores_gemma":[0.000041962336,0.00023269883,0.19124271,0.000013782604,0.000032407028,0.0009892951,0.0002358965,0.076894425,0.7258233,0.0007302769,0.0037037423,0.000059517486],"about_ca_topic_score_codex":0.0033866838,"about_ca_topic_score_gemma":0.005771416,"teacher_disagreement_score":0.0033866838,"about_ca_system_score_codex":0.0005890423,"about_ca_system_score_gemma":0.00037524413,"threshold_uncertainty_score":0.006733954},"labels":[],"label_agreement":null},{"id":"W2068556922","doi":"10.1016/j.powtec.2010.09.023","title":"Time delay neural network modeling for particle size in SAG mills","year":2010,"lang":"en","type":"article","venue":"Powder Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Grinding; Mill; Artificial neural network; Particle size; Variable (mathematics); Particle (ecology); Engineering; Control theory (sociology); Computer science; Process engineering; Control engineering; Control (management); Artificial intelligence; Mechanical engineering; Mathematics; Geology","score_opus":0.008390005783558379,"score_gpt":0.2207060376223558,"score_spread":0.2123160318387974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068556922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53101575,0.000460082,0.46324995,0.00035272227,0.00010542786,0.00003745548,0.00017928318,0.00030356075,0.004295779],"genre_scores_gemma":[0.98865485,0.00011764998,0.00788645,0.00001878415,0.000014079993,0.000019606012,0.000056544337,0.000023959967,0.0032081602],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999207,0.000017529974,0.000004554826,0.000023672224,0.000021127647,0.0000124034],"domain_scores_gemma":[0.99950504,0.00032245152,0.000047181038,0.000015500746,0.00009102487,0.00001873106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004014217,0.00032553513,0.00045774554,0.00023436808,0.00027273307,0.0004404763,0.0007262117,0.0008901627,0.0009431927],"category_scores_gemma":[0.0011857303,0.000332519,0.00031792984,0.00039221597,0.00031142563,0.000822268,0.00024321616,0.0006161119,0.000104238774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026003217,0.000013357167,0.00034579984,0.000007430321,0.0000047883937,0.000014472639,0.000006469819,0.9958942,0.00069257914,0.0005419311,0.0000600438,0.0023929419],"study_design_scores_gemma":[8.276088e-7,0.0000018865476,0.0000547254,1.7538892e-7,4.6930558e-7,5.8692575e-7,6.698774e-7,0.99973136,0.000081875434,0.00011431397,0.000012551156,5.5047985e-7],"about_ca_topic_score_codex":0.018730266,"about_ca_topic_score_gemma":0.009281253,"teacher_disagreement_score":0.018730266,"about_ca_system_score_codex":0.0009181848,"about_ca_system_score_gemma":0.0005544231,"threshold_uncertainty_score":0.037242472},"labels":[],"label_agreement":null},{"id":"W2070006243","doi":"10.1002/cjce.5450850215","title":"Reply to Comments by N. Epstein. The Canadian Journal of Chemical Engineering","year":2007,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Citation; Library science; Computer science","score_opus":0.007496241844485252,"score_gpt":0.19158388487336367,"score_spread":0.18408764302887842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070006243","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013864857,0.0020879852,0.000059341262,0.9560601,0.040646125,0.000008061206,0.000063217616,0.000021991244,0.0009145484],"genre_scores_gemma":[0.0015139759,0.0015359488,0.00011437483,0.9720383,0.018459681,0.000022093438,0.00003666249,0.000031137377,0.0062477337],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965084,0.0005494769,0.00047887483,0.00057083403,0.0014668907,0.0004255551],"domain_scores_gemma":[0.982255,0.008266431,0.0010314126,0.0003098864,0.006383914,0.001753347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045274193,0.0009972982,0.0013571829,0.0010718819,0.00446329,0.002963284,0.003031731,0.031801876,0.010965346],"category_scores_gemma":[0.038430583,0.0009079484,0.0011384143,0.0011495233,0.0029821214,0.0049919947,0.0023720078,0.036254995,0.010273402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019715317,0.0000047686867,0.000084824576,0.000042158616,0.0000042937895,0.00009699806,0.000076672164,0.000011734388,0.000058462767,0.00037607452,0.99795026,0.0012742114],"study_design_scores_gemma":[0.000024241988,0.00001865316,0.0009606953,0.00013626415,0.0000168791,0.00037977163,0.00058754586,0.00007280525,0.00031149382,0.0011055659,0.9963341,0.00005193425],"about_ca_topic_score_codex":0.022920443,"about_ca_topic_score_gemma":0.028142795,"teacher_disagreement_score":0.031801876,"about_ca_system_score_codex":0.0051252893,"about_ca_system_score_gemma":0.0055487673,"threshold_uncertainty_score":0.04557401},"labels":[],"label_agreement":null},{"id":"W2070486859","doi":"10.1016/j.biosystemseng.2005.06.010","title":"Separation of Touching Grain Kernels in an Image by Ellipse Fitting Algorithm","year":2005,"lang":"en","type":"article","venue":"Biosystems Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba","funders":"Canada Research Chairs","keywords":"Ellipse; Kernel (algebra); Artificial intelligence; Mathematics; Software; Pattern recognition (psychology); Set (abstract data type); Cluster analysis; Sample (material); Algorithm; Computer science; Computer vision; Geometry; Combinatorics; Physics","score_opus":0.005625147438258334,"score_gpt":0.23165146518586896,"score_spread":0.22602631774761062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070486859","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029782834,0.00013284986,0.9674239,0.00005198444,0.00002889702,0.000042104904,0.000060221275,0.0014560027,0.0010211791],"genre_scores_gemma":[0.14266528,0.00033271304,0.8526436,0.000045131623,0.000029432638,0.00006833186,0.00033084687,0.00083039486,0.003054271],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994516,0.00004995034,0.000031155923,0.00013684612,0.0002298748,0.00010075352],"domain_scores_gemma":[0.9985442,0.00034177586,0.00013744747,0.00033071917,0.0005314044,0.00011449684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067930046,0.0010796778,0.0012782344,0.0020844361,0.00047125207,0.0018102255,0.0009108898,0.0013622489,0.0035942274],"category_scores_gemma":[0.0022990196,0.0007562649,0.0009938887,0.0020018038,0.0004900615,0.0017504302,0.0013867875,0.001434445,0.0023405042],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000859189,0.00017819957,0.0019188063,0.000259199,0.00010855963,0.0002285465,0.00031278905,0.025520608,0.41387272,0.0046540205,0.0021708282,0.54991645],"study_design_scores_gemma":[0.000061197774,0.00017195928,0.010752638,0.000038995502,0.00014751709,0.00067891326,0.00016632615,0.712983,0.25827476,0.0053716605,0.011239828,0.00011322745],"about_ca_topic_score_codex":0.0018212628,"about_ca_topic_score_gemma":0.00204325,"teacher_disagreement_score":0.0035942274,"about_ca_system_score_codex":0.000412793,"about_ca_system_score_gemma":0.0010149161,"threshold_uncertainty_score":0.012023866},"labels":[],"label_agreement":null},{"id":"W2072998204","doi":"10.1016/s0032-5910(02)00129-8","title":"Characterizing fibre shortening in low-consistency refining using a comminution model","year":2002,"lang":"en","type":"article","venue":"Powder Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Domtar (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Comminution; Refining (metallurgy); Specific energy; Consistency (knowledge bases); Grinding; Range (aeronautics); Selection (genetic algorithm); Enhanced Data Rates for GSM Evolution; Energy (signal processing); Materials science; Process engineering; Biological system; Mathematics; Computer science; Engineering; Statistics; Composite material; Metallurgy; Artificial intelligence; Physics","score_opus":0.033694356039424896,"score_gpt":0.232738783075119,"score_spread":0.1990444270356941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072998204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726867,0.00006457915,0.02638565,0.000019871919,0.0000041575026,0.000018016948,0.00009581143,0.000069969436,0.0006553051],"genre_scores_gemma":[0.9942622,0.00003966955,0.0050508087,0.000003920153,7.051953e-7,0.000012583131,0.00009097743,0.000019236526,0.0005199437],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997888,0.000023765751,0.0000100902,0.000054482745,0.000094662595,0.000028162143],"domain_scores_gemma":[0.9996057,0.00018207893,0.00005126142,0.000069635265,0.00007434539,0.00001702714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048125247,0.00027075343,0.00027835692,0.00043961074,0.0004203019,0.00028954487,0.0005459727,0.00047018216,0.000877429],"category_scores_gemma":[0.00072565995,0.00020842034,0.00030151018,0.0006344029,0.00034635002,0.00045974922,0.0002013988,0.00034006638,0.00016797933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010626201,0.00014767652,0.009132922,0.00008162024,0.000019603283,0.00007844193,0.000105033396,0.07286736,0.9017151,0.00069998123,0.00007748415,0.014012274],"study_design_scores_gemma":[0.000025436386,0.00057990616,0.013839823,0.0000041771204,0.00002764677,0.00004201349,0.000038140573,0.3340008,0.6508233,0.00015807562,0.00044203538,0.000018632283],"about_ca_topic_score_codex":0.008504119,"about_ca_topic_score_gemma":0.010546328,"teacher_disagreement_score":0.008504119,"about_ca_system_score_codex":0.0006793749,"about_ca_system_score_gemma":0.00038087647,"threshold_uncertainty_score":0.016909242},"labels":[],"label_agreement":null},{"id":"W2074229189","doi":"10.1016/j.mineng.2014.01.015","title":"Implementation of a model for Falcon separation units using continuous size-density distributions","year":2014,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Falcon; Separation (statistics); Computer science; Mathematics; Statistics","score_opus":0.027817285821391587,"score_gpt":0.28833986286449015,"score_spread":0.26052257704309856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074229189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13316582,0.00010791772,0.820084,0.0005826192,0.0001605147,0.00021397907,0.0020813223,0.01836039,0.025243407],"genre_scores_gemma":[0.7286832,0.000114199815,0.24961165,0.00019973199,0.000027003449,0.00036387134,0.0016489531,0.001323787,0.018027667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997311,0.00004631488,0.000014965012,0.00006156667,0.000099755474,0.000046230416],"domain_scores_gemma":[0.999113,0.00035251206,0.000043241394,0.0001448348,0.0002856102,0.00006075584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004952233,0.0007353794,0.00069235923,0.00033640972,0.0007156664,0.0012657794,0.002659845,0.0014834498,0.015679441],"category_scores_gemma":[0.0016538028,0.00057980954,0.00075088727,0.00045295485,0.0003851626,0.0010997651,0.0006384322,0.0010746303,0.0018378192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011353002,0.00009661355,0.0014568232,0.000038023227,0.000023681903,0.00007137607,0.00003851585,0.97497874,0.0017094867,0.004737824,0.002221978,0.014513395],"study_design_scores_gemma":[0.000012731827,0.0000076222314,0.00008000575,0.000002047436,0.0000029660441,0.000005724494,0.000005292893,0.9973757,0.0008801141,0.0006302018,0.0009928645,0.0000047142594],"about_ca_topic_score_codex":0.043097515,"about_ca_topic_score_gemma":0.029478243,"teacher_disagreement_score":0.043097515,"about_ca_system_score_codex":0.001646748,"about_ca_system_score_gemma":0.002331971,"threshold_uncertainty_score":0.08569336},"labels":[],"label_agreement":null},{"id":"W2075301858","doi":"10.1016/j.resconrec.2009.06.006","title":"Green sand reclamation using a fluidized bed with an attrition nozzle","year":2009,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Land reclamation; Calcination; Attrition; Fluidized bed; Environmental science; Waste management; Nozzle; Particle size; Geotechnical engineering; Materials science; Environmental engineering; Metallurgy; Geology; Engineering; Chemistry; Geography","score_opus":0.03144413813868982,"score_gpt":0.24859897975116046,"score_spread":0.21715484161247064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075301858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92892635,0.000585013,0.06379811,0.000101661084,0.00011341611,0.00009220322,0.000078028366,0.0008477459,0.005457533],"genre_scores_gemma":[0.9677178,0.00013787096,0.028381256,0.000021819222,0.000008596217,0.00002119223,0.000044447832,0.000017385368,0.0036494927],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999724,0.000020376156,0.000017689441,0.00005045081,0.00014094333,0.00004653512],"domain_scores_gemma":[0.9999151,0.000019484429,0.000013112152,0.000014647681,0.00002407989,0.00001352461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031190043,0.0002685622,0.00072704407,0.0005753241,0.0007621813,0.00059223734,0.00088660454,0.000681473,0.0011280645],"category_scores_gemma":[0.00017816799,0.00023545483,0.00056161394,0.0003460985,0.0003098108,0.00047107376,0.00046073765,0.00031943436,0.00025187025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006778955,0.00025787126,0.0023903784,0.00018696126,0.000027029324,0.00043286325,0.00012866972,0.019574696,0.9095652,0.0013009406,0.0004438122,0.06501373],"study_design_scores_gemma":[0.00015860301,0.0007954692,0.004958765,0.000013834847,0.00005079153,0.0003407958,0.00010128313,0.12148898,0.86579293,0.00037169337,0.0058564707,0.00007043223],"about_ca_topic_score_codex":0.0036107185,"about_ca_topic_score_gemma":0.0045710276,"teacher_disagreement_score":0.0036107185,"about_ca_system_score_codex":0.00062288466,"about_ca_system_score_gemma":0.00072285876,"threshold_uncertainty_score":0.007179439},"labels":[],"label_agreement":null},{"id":"W2078872925","doi":"10.1016/j.mineng.2014.11.010","title":"The link between operational practices and specific energy consumption in metal ore milling plants – Ontario experiences","year":2014,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Electricity; Mill; Base metal; Tariff; Energy consumption; Cost of electricity by source; Audit; Environmental economics; Consumption (sociology); Process engineering; Electricity generation; Operations management; Environmental science; Waste management; Engineering; Business; Mechanical engineering; Economics; Welding; Power (physics); Accounting","score_opus":0.029551102992069242,"score_gpt":0.2336384558653647,"score_spread":0.20408735287329544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078872925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99319035,0.00005084003,0.00005269383,0.00033500578,0.0000015725501,0.0000071939317,0.000094875126,0.0000020881696,0.0062655257],"genre_scores_gemma":[0.9946714,0.00013200748,0.00007251177,0.000045694153,0.0000011576248,0.000004341774,0.000071102964,0.0000037123775,0.0049980525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932647,0.00010114927,0.000025024361,0.0000633942,0.00025065814,0.00023334981],"domain_scores_gemma":[0.9983069,0.00034857306,0.00028018447,0.00006203594,0.0005910539,0.00041120793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005130598,0.00009295666,0.00010148699,0.00032755182,0.003876433,0.0015594831,0.0004932217,0.0003790451,0.0023653035],"category_scores_gemma":[0.0018592187,0.00022696436,0.00015787613,0.0015600533,0.0015285624,0.0005355987,0.0010539809,0.000462561,0.00015623661],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005485179,0.00031546244,0.7719996,0.00013263049,0.000068028334,0.0018513027,0.16310523,0.0018323851,0.007428074,0.003956095,0.0032271221,0.04553564],"study_design_scores_gemma":[0.0000068485524,0.00007166417,0.892037,0.000021903039,0.000011259922,0.00009118454,0.09118673,0.00035053387,0.00061383,0.00015388954,0.01543134,0.000023798708],"about_ca_topic_score_codex":0.9779188,"about_ca_topic_score_gemma":0.9952467,"teacher_disagreement_score":0.030435553,"about_ca_system_score_codex":0.030435553,"about_ca_system_score_gemma":0.027331065,"threshold_uncertainty_score":0.22082645},"labels":[],"label_agreement":null},{"id":"W2078954681","doi":"10.1080/08827500701856828","title":"KNOWLEDGE-BASED ASSESSMENT OF STREAM SAMPLING","year":2008,"lang":"en","type":"article","venue":"Mineral Processing and Extractive Metallurgy Review","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Correctness; Sampling (signal processing); Computer science; Expert system; Data mining; Machine learning; Artificial intelligence; Algorithm","score_opus":0.06669936136472669,"score_gpt":0.3349117279084934,"score_spread":0.2682123665437667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078954681","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06245906,0.0008646482,0.90886426,0.00058652955,0.000038978265,0.00044457155,0.00035653712,0.0012517802,0.025133643],"genre_scores_gemma":[0.6530842,0.0008493216,0.34168944,0.0001275128,0.00004219472,0.00022006975,0.0005762883,0.000049983188,0.0033609152],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99440324,0.0016445507,0.00045224198,0.00069048034,0.0026333083,0.00017621752],"domain_scores_gemma":[0.9885052,0.005184511,0.0010184557,0.00081963773,0.004211697,0.00026048755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004680225,0.00081567996,0.0008626173,0.003982442,0.00055852334,0.0031561928,0.0017045188,0.00102759,0.0020555563],"category_scores_gemma":[0.021243457,0.00025498186,0.0004422151,0.0013946381,0.0008071801,0.0030806095,0.0016999041,0.0006397963,0.00058139995],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003240151,0.00038801724,0.01754387,0.0009232299,0.00024056554,0.0006049362,0.0018026523,0.11497745,0.006443632,0.024908377,0.0036805258,0.8281627],"study_design_scores_gemma":[0.0000886314,0.00030007592,0.024241604,0.00062338606,0.00037470553,0.0005470827,0.0016082345,0.84556085,0.02184651,0.07668128,0.027924867,0.00020276346],"about_ca_topic_score_codex":0.0083312625,"about_ca_topic_score_gemma":0.008489589,"teacher_disagreement_score":0.0083312625,"about_ca_system_score_codex":0.001964843,"about_ca_system_score_gemma":0.0022764965,"threshold_uncertainty_score":0.024751723},"labels":[],"label_agreement":null},{"id":"W2079210397","doi":"10.1109/icinfa.2014.6932711","title":"Visual ore quality assessment by image analysis","year":2014,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Artificial intelligence; Computer science; Grayscale; Computer vision; Image processing; Visual inspection; Pattern recognition (psychology); Image segmentation; Image quality; Quality (philosophy); Segmentation; Image (mathematics); Feature extraction","score_opus":0.011851350536650797,"score_gpt":0.3185945860670284,"score_spread":0.3067432355303776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079210397","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17386144,0.0008834302,0.8160598,0.00017256092,0.00005292355,0.00030169456,0.00055539387,0.0038139222,0.004298827],"genre_scores_gemma":[0.5010305,0.00082693674,0.49425453,0.00011704004,0.00006407873,0.00012930219,0.00078172045,0.00019384011,0.0026019395],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999572,0.000057683515,0.0000212239,0.00010535063,0.0001935611,0.000050307568],"domain_scores_gemma":[0.9993092,0.00018393186,0.00012420422,0.000069759546,0.00027943446,0.000033423406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008042426,0.00060793455,0.00057426293,0.0028304362,0.00015501266,0.0010773235,0.0005358791,0.000847918,0.0017345332],"category_scores_gemma":[0.0017300097,0.00026395306,0.0006475559,0.00092288817,0.00044179964,0.0008955546,0.0005033293,0.0005589768,0.00089062296],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066105067,0.00020218197,0.0077042324,0.00062880985,0.00015104163,0.00021494582,0.00013605789,0.028078724,0.41601142,0.0012935717,0.0022065924,0.54271126],"study_design_scores_gemma":[0.000056318295,0.0004713441,0.047529276,0.00008110067,0.00015278358,0.00091345084,0.00018262447,0.67530686,0.26689395,0.003037093,0.005272492,0.00010280379],"about_ca_topic_score_codex":0.0018684567,"about_ca_topic_score_gemma":0.002089667,"teacher_disagreement_score":0.0028304362,"about_ca_system_score_codex":0.0003688524,"about_ca_system_score_gemma":0.0002988378,"threshold_uncertainty_score":0.005802572},"labels":[],"label_agreement":null},{"id":"W2079904668","doi":"10.1007/s11004-013-9501-2","title":"Modern Mining Geostatistics—A Special Issue Dedicated to Our Friend Professor Danie Krige","year":2013,"lang":"en","type":"article","venue":"Mathematical Geosciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Geostatistics; Hydrogeology; Geology; Sociology; Statistics; Mathematics; Geotechnical engineering; Spatial variability","score_opus":0.0181935221047188,"score_gpt":0.26384559361426474,"score_spread":0.24565207150954593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079904668","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006013765,0.040521964,0.018492049,0.036713567,0.8959883,0.0000676032,0.00032439618,0.0005359348,0.0067549],"genre_scores_gemma":[0.0026215068,0.022125227,0.0038627498,0.0051457793,0.9244208,0.00007194288,0.0004231826,0.00070309715,0.04062581],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980337,0.0002968587,0.00017487291,0.00038355746,0.000972248,0.00013877217],"domain_scores_gemma":[0.98849106,0.0028804198,0.0007707825,0.0008898115,0.0044216565,0.002546307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028483896,0.0025533147,0.0028823635,0.0051568924,0.0015194294,0.004054257,0.0015672015,0.0035792566,0.029139593],"category_scores_gemma":[0.010144958,0.0010570321,0.0018764561,0.0028436899,0.0012077355,0.0033862828,0.0035492731,0.00507376,0.022228412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028317465,0.000030763185,0.00014895802,0.00014170824,0.000032129872,0.00008377443,0.000014597908,0.00033331098,0.0004737561,0.0009940858,0.9601418,0.03757687],"study_design_scores_gemma":[0.000016901588,0.000082403145,0.0009246686,0.00016908898,0.000033625547,0.00060837966,0.00004341732,0.0016746119,0.0004574804,0.0059819184,0.9899693,0.00003817479],"about_ca_topic_score_codex":0.00077482295,"about_ca_topic_score_gemma":0.00195521,"teacher_disagreement_score":0.029139593,"about_ca_system_score_codex":0.0013531336,"about_ca_system_score_gemma":0.0016447259,"threshold_uncertainty_score":0.09748173},"labels":[],"label_agreement":null},{"id":"W2080119853","doi":"10.1080/19392699.2010.527876","title":"Study Relationship between Inorganic and Organic Coal Analysis with Gross Calorific Value by Multiple Regression and ANFIS","year":2011,"lang":"en","type":"article","venue":"International Journal of Coal Preparation and Utilization","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Adaptive neuro fuzzy inference system; Liptinite; Mathematics; Heat of combustion; Correlation coefficient; Nonlinear regression; Statistics; Coefficient of determination; Linear regression; Maceral; Coal; Regression analysis; Mineralogy; Fuzzy logic; Chemistry; Engineering; Waste management; Artificial intelligence; Computer science; Inertinite; Combustion; Fuzzy control system","score_opus":0.05461524706864996,"score_gpt":0.3014737910207563,"score_spread":0.24685854395210632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080119853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93707603,0.00013744245,0.060737964,0.00005223776,0.000012382354,0.000026625077,0.00009704355,0.00018854754,0.0016717502],"genre_scores_gemma":[0.9900809,0.000037815782,0.009198789,0.0000054837215,0.0000029453024,0.000010378059,0.00004511314,0.0000065509803,0.00061208225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973077,0.0000585821,0.000020689378,0.00006146082,0.000105849285,0.000022645692],"domain_scores_gemma":[0.9992317,0.000552884,0.0000960903,0.00002377821,0.00008501145,0.00001047242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058233197,0.00036945418,0.00019034524,0.0005182961,0.00010060716,0.00031486514,0.00021737255,0.000255653,0.0005649024],"category_scores_gemma":[0.0024309393,0.00014245277,0.00023955206,0.00035289818,0.00013579152,0.00029948555,0.00012010017,0.0002567128,0.00010966889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085579645,0.00042150076,0.18144704,0.00030618545,0.00048513585,0.00060264394,0.0005321388,0.45054173,0.1586207,0.0015216974,0.00044984854,0.20421556],"study_design_scores_gemma":[0.000004528046,0.00014968838,0.048595916,0.000008862507,0.000031800664,0.00008481657,0.00005090982,0.9267051,0.02381481,0.00022643608,0.0003143067,0.000012866189],"about_ca_topic_score_codex":0.005664193,"about_ca_topic_score_gemma":0.0062085106,"teacher_disagreement_score":0.005664193,"about_ca_system_score_codex":0.00024977897,"about_ca_system_score_gemma":0.00020464482,"threshold_uncertainty_score":0.011262476},"labels":[],"label_agreement":null},{"id":"W2080189009","doi":"10.1007/s11053-010-9118-9","title":"On the Capability of Support Vector Machines to Classify Lithology from Well Logs","year":2010,"lang":"en","type":"article","venue":"Natural Resources Research","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Support vector machine; Structural risk minimization; Statistical learning theory; Artificial intelligence; Computer science; Pattern recognition (psychology); Artificial neural network; Machine learning; Feature selection; Data mining; Classifier (UML); Linear discriminant analysis; Discriminant","score_opus":0.03086903750641953,"score_gpt":0.33094968051721724,"score_spread":0.30008064301079773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080189009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50841767,0.0022997072,0.48067147,0.0014679673,0.00024863036,0.00008196281,0.0005500968,0.0018023482,0.0044601695],"genre_scores_gemma":[0.93839073,0.0005199802,0.05806691,0.00014655586,0.00012477787,0.000028657776,0.00063053606,0.00004629519,0.0020456477],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938405,0.00021177463,0.00006941171,0.00010848684,0.00015764253,0.0000685825],"domain_scores_gemma":[0.9873705,0.010525774,0.00023713356,0.00042899614,0.0012964504,0.00014105804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026175377,0.0007397908,0.0005186084,0.00084988755,0.00028685163,0.0010372442,0.00066597515,0.0009515936,0.0012039508],"category_scores_gemma":[0.01300414,0.00022527152,0.00044187042,0.00082025205,0.00048349312,0.0018465002,0.0005076946,0.0010833591,0.00049164053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081183354,0.00026863048,0.009327741,0.00011252912,0.00013537482,0.00009859065,0.00014224443,0.37925315,0.007041456,0.0038965202,0.004396784,0.5945152],"study_design_scores_gemma":[0.00000822277,0.000057359288,0.00084803597,0.000005376818,0.0000079501515,0.000010220626,0.000021972057,0.99606484,0.0009119346,0.0018588922,0.00019930386,0.0000058945548],"about_ca_topic_score_codex":0.011093013,"about_ca_topic_score_gemma":0.0050005782,"teacher_disagreement_score":0.011093013,"about_ca_system_score_codex":0.00033638277,"about_ca_system_score_gemma":0.0004930781,"threshold_uncertainty_score":0.022056878},"labels":[],"label_agreement":null},{"id":"W2080303882","doi":"10.1016/j.mineng.2007.04.009","title":"A machine vision approach to on-line estimation of run-of-mine ore composition on conveyor belts","year":2007,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":147,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Division of Materials Research","keywords":"Conveyor belt; Sorting; Principal component analysis; Mining engineering; Chromite; Artificial intelligence; Pattern recognition (psychology); Computer science; Process engineering; Mineralogy; Environmental science; Geology; Engineering; Algorithm; Materials science; Metallurgy; Mechanical engineering","score_opus":0.015406912168422476,"score_gpt":0.2554266486670094,"score_spread":0.24001973649858696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080303882","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09838416,0.00030968428,0.89710563,0.000105902414,0.000050151153,0.00005637667,0.00009910761,0.0015146807,0.0023741953],"genre_scores_gemma":[0.73949015,0.00024255572,0.2566894,0.0000702835,0.000090088964,0.000058680012,0.00020688307,0.00009400273,0.0030578661],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998178,0.00002447587,0.0000068096992,0.000046554804,0.00006746575,0.000036905054],"domain_scores_gemma":[0.99976104,0.000071130686,0.000030665895,0.000028712164,0.000093541974,0.000014939008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023511857,0.00054806744,0.0007815567,0.0009978295,0.0004000512,0.0008365911,0.0011921575,0.00092470495,0.0012425303],"category_scores_gemma":[0.0006456025,0.000412405,0.00050555245,0.0007904431,0.0002904905,0.00067157863,0.00042989332,0.00058722694,0.00040755485],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028133552,0.00033571254,0.0030010208,0.0000992439,0.0000640167,0.00015329068,0.00011304735,0.19393976,0.10288973,0.0019064536,0.001869337,0.695347],"study_design_scores_gemma":[0.0000073296433,0.00002868421,0.0013769203,0.0000023278935,0.0000072720973,0.00002389307,0.000012297304,0.9918726,0.005628823,0.0006242421,0.0004098439,0.00000567495],"about_ca_topic_score_codex":0.009177862,"about_ca_topic_score_gemma":0.0088741435,"teacher_disagreement_score":0.009177862,"about_ca_system_score_codex":0.00044883534,"about_ca_system_score_gemma":0.00051079877,"threshold_uncertainty_score":0.018248856},"labels":[],"label_agreement":null},{"id":"W2080860355","doi":"10.2202/1542-6580.1080","title":"Gas and Solid Mixing in High-Density CFB Risers","year":2004,"lang":"en","type":"article","venue":"International Journal of Chemical Reactor Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mixing (physics); Materials science; Fluidized bed combustion; Flux (metallurgy); Dispersion (optics); Volatile suspended solids; Flow (mathematics); Fluidization; Thermodynamics; Suspended solids; Mechanics; Fluidized bed; Waste management; Metallurgy","score_opus":0.005508530626793335,"score_gpt":0.21866644393566204,"score_spread":0.2131579133088687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080860355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961863,0.0004508315,0.0025661588,0.000030491214,0.000006337506,0.000013785408,0.00009505511,0.0000824693,0.0005686489],"genre_scores_gemma":[0.9973677,0.00022662677,0.0018307572,0.000014435701,0.000004940716,0.000008590857,0.00014949203,0.000013280172,0.00038432458],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957365,0.000050773204,0.000025642858,0.00011067879,0.0001809186,0.000058355112],"domain_scores_gemma":[0.99979824,0.000072985546,0.000054074626,0.000008449624,0.000045568377,0.000020653162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004193718,0.0003091552,0.0004463896,0.0013462226,0.0003498054,0.0006900546,0.00037138577,0.00052906177,0.0005517627],"category_scores_gemma":[0.00060724746,0.00020052216,0.00029754854,0.00062684686,0.0005341259,0.0006356624,0.00037864133,0.00056345644,0.00017507422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051651476,0.0000782037,0.014220714,0.000118371354,0.0000144041705,0.00027305094,0.00022598713,0.0028455683,0.9646561,0.00040070488,0.00007854528,0.01657186],"study_design_scores_gemma":[0.000049562255,0.00074427266,0.08674821,0.00003802013,0.00003256261,0.0003694723,0.00030641461,0.04559996,0.8642304,0.0003274124,0.0014922202,0.00006154672],"about_ca_topic_score_codex":0.0049735922,"about_ca_topic_score_gemma":0.0033133498,"teacher_disagreement_score":0.0049735922,"about_ca_system_score_codex":0.00073037774,"about_ca_system_score_gemma":0.00024657397,"threshold_uncertainty_score":0.009889305},"labels":[],"label_agreement":null},{"id":"W2081487307","doi":"10.1007/s11004-010-9264-y","title":"Ore Grade Prediction Using a Genetic Algorithm and Clustering Based Ensemble Neural Network Model","year":2010,"lang":"en","type":"article","venue":"Mathematical Geosciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; McGill University","funders":"","keywords":"Artificial neural network; Resampling; Cluster analysis; Ensemble learning; Computer science; Ensemble forecasting; Kriging; Genetic algorithm; Artificial intelligence; Data mining; Machine learning; Algorithm; Pattern recognition (psychology)","score_opus":0.02446558296711545,"score_gpt":0.24216303464064212,"score_spread":0.21769745167352667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081487307","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48629445,0.00029599562,0.5093147,0.00021924535,0.00012502025,0.000048850714,0.00020192194,0.0007160728,0.0027837537],"genre_scores_gemma":[0.94589293,0.00007004037,0.05222217,0.000034341374,0.00002449841,0.000038832914,0.00020188303,0.000029919309,0.001485519],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971384,0.00006318574,0.000018361534,0.00009549801,0.000076074946,0.000033034787],"domain_scores_gemma":[0.99891615,0.00049445045,0.00008284487,0.00008059513,0.00039264982,0.000033356293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009149423,0.0006180513,0.0010866253,0.0009887208,0.00059300545,0.000667491,0.0010581183,0.0011881493,0.00076843094],"category_scores_gemma":[0.0021193628,0.0003800439,0.00084160356,0.001060462,0.00027791117,0.0010639415,0.00038288604,0.0007820875,0.000190545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006946164,0.00006700989,0.002492265,0.00000933412,0.00006026121,0.000028210212,0.000012359947,0.96684384,0.0007361369,0.0003567607,0.00033114728,0.028993137],"study_design_scores_gemma":[0.0000015616462,0.0000042478982,0.0002040167,3.588968e-7,0.0000039978145,0.000001838364,8.908478e-7,0.9995425,0.00011482453,0.000113435824,0.000010913755,0.0000013747849],"about_ca_topic_score_codex":0.023311008,"about_ca_topic_score_gemma":0.018708806,"teacher_disagreement_score":0.023311008,"about_ca_system_score_codex":0.0009215803,"about_ca_system_score_gemma":0.000705765,"threshold_uncertainty_score":0.046350658},"labels":[],"label_agreement":null},{"id":"W2082715416","doi":"10.1109/icrms.2009.5269972","title":"Wear degree prognostics for slurry pumps using support vector machines","year":2009,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Syncrude","keywords":"Prognostics; Impeller; Slurry; Condition monitoring; Maintenance engineering; Degree (music); Automotive engineering; Reliability engineering; Mechanical engineering; Engineering; Computer science; Process engineering","score_opus":0.04753968560858175,"score_gpt":0.27295801610803705,"score_spread":0.2254183304994553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082715416","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26117253,0.000507464,0.73561025,0.0002134661,0.000067161185,0.00004817564,0.00014713022,0.0018011349,0.00043270504],"genre_scores_gemma":[0.9679244,0.000085531996,0.0314629,0.000010892741,0.000018898669,0.000024823761,0.00012663736,0.0000103224265,0.0003355538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997156,0.00006701845,0.000033528835,0.000056428307,0.000095286225,0.00003207727],"domain_scores_gemma":[0.9986278,0.0008124714,0.00017382507,0.00007163244,0.00027019394,0.00004409159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007120621,0.0007005376,0.0005989082,0.00058167684,0.00021869449,0.00050733855,0.0003993726,0.00053892663,0.00065594073],"category_scores_gemma":[0.0032094503,0.000236603,0.00032782456,0.0003411527,0.00020124772,0.0006204871,0.00027611366,0.0007061461,0.00019409745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006447109,0.00015241005,0.009487515,0.00016759367,0.000055562683,0.00014852041,0.00009072716,0.56509525,0.017672598,0.0006256191,0.001277754,0.4045817],"study_design_scores_gemma":[0.000006284633,0.00006384689,0.0009337974,0.0000023502284,0.0000035174476,0.000008984267,0.0000064552532,0.9968299,0.0018092038,0.00025854065,0.00007293344,0.000004031604],"about_ca_topic_score_codex":0.002501178,"about_ca_topic_score_gemma":0.0017412952,"teacher_disagreement_score":0.002501178,"about_ca_system_score_codex":0.00023052694,"about_ca_system_score_gemma":0.00033703088,"threshold_uncertainty_score":0.0049732327},"labels":[],"label_agreement":null},{"id":"W2082981490","doi":"10.1590/s0370-44672005000100014","title":"Reologia de suspensões minerais: uma revisão","year":2005,"lang":"pt","type":"article","venue":"Rem Revista Escola de Minas","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Chemistry","score_opus":0.016275396593499525,"score_gpt":0.26086959388444875,"score_spread":0.24459419729094922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082981490","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50780326,0.41739056,0.0445759,0.0019409703,0.0009702145,0.00013892281,0.00033107432,0.00024359145,0.0266055],"genre_scores_gemma":[0.63482535,0.29585683,0.023938961,0.0006617498,0.0008030045,0.00008277913,0.00039912938,0.00022342587,0.043208763],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99881834,0.000118759395,0.000097805234,0.00032096214,0.0005623922,0.00008178818],"domain_scores_gemma":[0.999129,0.00031337043,0.00015850157,0.00007120011,0.00028682235,0.000041053696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009988438,0.000651697,0.0007952879,0.0021867976,0.0006811487,0.002474588,0.0010220727,0.0010657391,0.0016768099],"category_scores_gemma":[0.0012229076,0.00043687166,0.0007607852,0.0013914467,0.0011925652,0.002676868,0.0006999949,0.0011448038,0.0005917619],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027362898,0.00016079807,0.00561386,0.0041895746,0.00006408854,0.0010349001,0.0017319566,0.0016422045,0.7131508,0.004373947,0.0007159685,0.2670483],"study_design_scores_gemma":[0.000011636147,0.000733472,0.011645245,0.0005380477,0.0001225667,0.0040324824,0.0016383142,0.0023507348,0.7425892,0.0038098576,0.23242357,0.00010491326],"about_ca_topic_score_codex":0.0027702844,"about_ca_topic_score_gemma":0.0049611125,"teacher_disagreement_score":0.0027702844,"about_ca_system_score_codex":0.0011125961,"about_ca_system_score_gemma":0.0010326102,"threshold_uncertainty_score":0.008072495},"labels":[],"label_agreement":null},{"id":"W2085745951","doi":"10.1139/t02-029","title":"An automated and improved laboratory consolidation system","year":2002,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Consolidation (business); Data acquisition; Geotechnical engineering; Computer science; Engineering; Control system; Control engineering","score_opus":0.00824827048365396,"score_gpt":0.20831535592090722,"score_spread":0.20006708543725327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085745951","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16568194,0.0007622544,0.8028207,0.0003476893,0.00034951075,0.0011941058,0.0010537696,0.021592405,0.0061976784],"genre_scores_gemma":[0.31126013,0.00046388514,0.67252445,0.0003686588,0.00026721845,0.001018371,0.0022309264,0.00045684507,0.011409506],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997489,0.00019590023,0.00016412842,0.00033686508,0.0016745571,0.00013956818],"domain_scores_gemma":[0.9980763,0.00024706413,0.0001425826,0.00036064268,0.0010713274,0.00010213395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013870569,0.0005205557,0.0008859716,0.0012065369,0.00050884404,0.0009733587,0.0017432692,0.00063183275,0.0046184985],"category_scores_gemma":[0.0014377094,0.00042559157,0.00023859742,0.0010061465,0.00053985516,0.001171534,0.0009026242,0.0008869096,0.0018476123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028958588,0.0004887883,0.0025073832,0.0001933914,0.000028027554,0.00008259397,0.000088410015,0.0036431379,0.7137812,0.0024014658,0.0071745203,0.26932153],"study_design_scores_gemma":[0.0003908929,0.0016427325,0.012486375,0.00003622352,0.00010417187,0.00096667826,0.000059010148,0.08412016,0.7848098,0.00076638506,0.114398696,0.00021884235],"about_ca_topic_score_codex":0.002107644,"about_ca_topic_score_gemma":0.0026880687,"teacher_disagreement_score":0.0046184985,"about_ca_system_score_codex":0.00070145004,"about_ca_system_score_gemma":0.002299011,"threshold_uncertainty_score":0.015450418},"labels":[],"label_agreement":null},{"id":"W2087916749","doi":"10.1016/j.patrec.2008.12.015","title":"Ore image segmentation by learning image and shape features","year":2009,"lang":"en","type":"article","venue":"Pattern Recognition Letters","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Artificial intelligence; Segmentation; Computer vision; Image segmentation; Scale-space segmentation; Segmentation-based object categorization; Image (mathematics); Computer science; Pattern recognition (psychology); Region growing; Geology","score_opus":0.007710042616262906,"score_gpt":0.21727106876123375,"score_spread":0.20956102614497085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087916749","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09748959,0.00050307275,0.8941355,0.00021624203,0.000079872174,0.000108554166,0.00025937168,0.004084351,0.003123529],"genre_scores_gemma":[0.5159499,0.0005318156,0.47425264,0.0002058907,0.00010909769,0.0001071121,0.0012678052,0.00044249487,0.007133177],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997143,0.000020673655,0.000016418418,0.00011628671,0.000076104814,0.000056103272],"domain_scores_gemma":[0.9996202,0.00010098149,0.000054052525,0.00006287844,0.00013023846,0.000031520623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031155514,0.00095392205,0.0011484327,0.0019755822,0.00037593354,0.0010406718,0.00090213586,0.0012421008,0.0022507333],"category_scores_gemma":[0.0007804482,0.0005633877,0.0014048209,0.0015905845,0.00055596407,0.0011747791,0.0006290115,0.0007975066,0.001579915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004412994,0.00020928094,0.003219817,0.00013578475,0.0001141963,0.00015525098,0.000060137463,0.052233744,0.11140821,0.0013991818,0.0030867057,0.82753646],"study_design_scores_gemma":[0.000024823816,0.0001169258,0.003506978,0.000012934319,0.00006329867,0.00017974494,0.00004627048,0.9450042,0.04551285,0.0033410739,0.0021688566,0.00002203385],"about_ca_topic_score_codex":0.004973545,"about_ca_topic_score_gemma":0.008984661,"teacher_disagreement_score":0.004973545,"about_ca_system_score_codex":0.0005034078,"about_ca_system_score_gemma":0.000771341,"threshold_uncertainty_score":0.009889185},"labels":[],"label_agreement":null},{"id":"W2088786639","doi":"10.1016/j.mineng.2015.02.011","title":"Generalizing a shear–volume power model for stirred mill power prediction","year":2015,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hudbay Minerals (Canada); McGill University","funders":"","keywords":"Volume (thermodynamics); Mill; Power (physics); Engineering; Mechanics; Process engineering; Mechanical engineering; Materials science; Thermodynamics; Physics","score_opus":0.03004555539129372,"score_gpt":0.22527998366302204,"score_spread":0.19523442827172832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088786639","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11403526,0.00035620635,0.8673396,0.0005960415,0.00015067321,0.00011250172,0.00042157562,0.0013053521,0.015682748],"genre_scores_gemma":[0.9519917,0.00026804858,0.03317608,0.00014540675,0.00009696667,0.00013008334,0.0004173787,0.00030841408,0.013466067],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998629,0.000025961523,0.000008091819,0.000042524203,0.000039217073,0.000021207534],"domain_scores_gemma":[0.9996238,0.00019577726,0.000028949502,0.000038850856,0.00009322743,0.000019374187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041862341,0.0006856263,0.0009048527,0.00035654666,0.0005108663,0.00079736265,0.0012269667,0.001558165,0.0032857193],"category_scores_gemma":[0.0015888943,0.0006011738,0.00093591487,0.00056886266,0.00044713917,0.0011560825,0.0006635383,0.0011396507,0.00064370246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006987783,0.000012840089,0.00018993397,0.000008977592,0.000005088649,0.000019094456,0.000007219637,0.99519485,0.00087066146,0.00086758396,0.00018841097,0.0026282687],"study_design_scores_gemma":[0.0000013404124,0.0000014817188,0.000029257997,3.8192204e-7,7.3487985e-7,0.0000010191467,6.184609e-7,0.99960357,0.00009361925,0.0001979262,0.00006924222,8.196762e-7],"about_ca_topic_score_codex":0.0364563,"about_ca_topic_score_gemma":0.020103736,"teacher_disagreement_score":0.0364563,"about_ca_system_score_codex":0.0010423185,"about_ca_system_score_gemma":0.0012314316,"threshold_uncertainty_score":0.07248819},"labels":[],"label_agreement":null},{"id":"W2090225248","doi":"10.1205/ece06024","title":"Multiphase Reactor Database Interrogation and Computing at the Finger Tip","year":2007,"lang":"en","type":"article","venue":"Education for Chemical Engineers","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Interrogation; Software; Embedding; Computer science; Range (aeronautics); Mass transfer; Engineering; Artificial intelligence; Physics; Mechanics; Operating system; Aerospace engineering","score_opus":0.011931885404340068,"score_gpt":0.2648384114275658,"score_spread":0.2529065260232257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090225248","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13193943,0.00040769842,0.751334,0.00060379005,0.00016767459,0.00028075284,0.0039334674,0.10376418,0.007568975],"genre_scores_gemma":[0.64545596,0.00020166159,0.33971933,0.00031429823,0.00006794558,0.00021083906,0.0041058767,0.0024937708,0.007430281],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99847466,0.00016213488,0.00014246673,0.00036739864,0.00072217797,0.0001312287],"domain_scores_gemma":[0.9966917,0.0012699711,0.00017089304,0.0011812916,0.0004944431,0.00019180866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011815289,0.0006665667,0.00086054805,0.0017260071,0.0008181713,0.0029799927,0.0023838014,0.00091729773,0.009719843],"category_scores_gemma":[0.0064325137,0.0005879595,0.0005486709,0.0013789855,0.0004520389,0.0035152563,0.0016841657,0.00071399944,0.0030163173],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035913999,0.0004867034,0.016526695,0.00046190977,0.0001966647,0.001230806,0.0012479413,0.019510258,0.18475835,0.016291978,0.037098717,0.71859866],"study_design_scores_gemma":[0.00012635237,0.00034212947,0.006352421,0.00003390317,0.0000633765,0.00060633634,0.0004369097,0.58158165,0.36538184,0.013677342,0.031292994,0.00010472222],"about_ca_topic_score_codex":0.0021475744,"about_ca_topic_score_gemma":0.0023021891,"teacher_disagreement_score":0.009719843,"about_ca_system_score_codex":0.00068295054,"about_ca_system_score_gemma":0.0010554197,"threshold_uncertainty_score":0.032516122},"labels":[],"label_agreement":null},{"id":"W2090708310","doi":"10.1016/s0967-0661(01)00093-4","title":"State of the art in copper hydrometallurgic processes control","year":2001,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Universidad Técnica Federico Santa María","keywords":"Copper; State (computer science); Control (management); Computer science; Industrial engineering; Engineering; Metallurgy; Materials science; Artificial intelligence; Programming language","score_opus":0.005518632674411102,"score_gpt":0.2045063949724735,"score_spread":0.1989877622980624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090708310","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01750284,0.61655897,0.3118437,0.0032418687,0.0015175623,0.00010628744,0.00013796632,0.00075346127,0.048337318],"genre_scores_gemma":[0.42446977,0.47638267,0.07019494,0.0014172628,0.005646441,0.00019221174,0.0005429697,0.0002293798,0.020924356],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99542516,0.000542238,0.00035455334,0.0010393801,0.0023162353,0.00032244387],"domain_scores_gemma":[0.99427587,0.0030596668,0.00033241793,0.0008482042,0.0013157418,0.00016799018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034881053,0.0010036277,0.0019544445,0.0019281425,0.0009249503,0.00631792,0.0027000166,0.002732254,0.0047246614],"category_scores_gemma":[0.0047688135,0.00064940634,0.00074454676,0.0028379154,0.0034402024,0.0052323174,0.0017393784,0.0021098736,0.002084493],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036330463,0.00029639056,0.0006668348,0.004719188,0.00007780873,0.000094566465,0.0003377848,0.015168895,0.014710205,0.057171598,0.0046187877,0.90177476],"study_design_scores_gemma":[0.00008723376,0.0019627046,0.0037661702,0.0033541045,0.00035100884,0.000938837,0.00096329214,0.21711423,0.09871614,0.119877845,0.55249107,0.00037734574],"about_ca_topic_score_codex":0.0017873631,"about_ca_topic_score_gemma":0.00091095525,"teacher_disagreement_score":0.00631792,"about_ca_system_score_codex":0.0015050131,"about_ca_system_score_gemma":0.0017566878,"threshold_uncertainty_score":0.018447101},"labels":[],"label_agreement":null},{"id":"W2092482879","doi":"10.1080/01431161.2010.489060","title":"Rock type classification of drill core using continuous wavelet analysis applied to thermal infrared reflectance spectra","year":2011,"lang":"en","type":"article","venue":"International Journal of Remote Sensing","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University; University of Alberta","funders":"Networks of Centres of Excellence of Canada","keywords":"Endmember; Wavelet; Mineralogy; Remote sensing; Geology; Scale (ratio); Spectral line; Hyperspectral imaging; Computer science; Artificial intelligence; Physics","score_opus":0.04906064676643471,"score_gpt":0.282069802876811,"score_spread":0.2330091561103763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092482879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9000267,0.00007876192,0.09883138,0.000020686457,0.000008726015,0.000026483174,0.00015425541,0.00017031778,0.0006827424],"genre_scores_gemma":[0.94701505,0.000091468435,0.05225136,0.00000728001,0.000004817197,0.000017721704,0.00025321447,0.000022698463,0.0003363579],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999742,0.00005157092,0.000018785093,0.00006297948,0.000088573055,0.000036125537],"domain_scores_gemma":[0.9994429,0.00016848369,0.00008319298,0.000060924925,0.00021886159,0.000025638405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008099627,0.0002976331,0.0002615514,0.0013331687,0.00014820191,0.00057768443,0.00023760788,0.00023097488,0.00028925244],"category_scores_gemma":[0.0016020897,0.00012105609,0.00039930598,0.0007684958,0.00018490688,0.00036703053,0.00028631117,0.00022758498,0.0002332319],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000514231,0.0002317173,0.18358941,0.00019099413,0.00016117742,0.00028274412,0.0007148751,0.052773915,0.26110125,0.00066555385,0.00060111616,0.4991731],"study_design_scores_gemma":[0.00002856382,0.00031779645,0.30686626,0.00003447505,0.00011354758,0.00034111916,0.0007221021,0.64047605,0.049340233,0.000614489,0.0010927833,0.000052545918],"about_ca_topic_score_codex":0.0043423492,"about_ca_topic_score_gemma":0.005565347,"teacher_disagreement_score":0.0043423492,"about_ca_system_score_codex":0.00016211087,"about_ca_system_score_gemma":0.00033083613,"threshold_uncertainty_score":0.00863415},"labels":[],"label_agreement":null},{"id":"W2093333774","doi":"10.1016/j.powtec.2012.05.057","title":"Particle attrition with supersonic nozzles in a fluidized bed at high temperature","year":2012,"lang":"en","type":"article","venue":"Powder Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Syncrude (Canada); Western University","funders":"","keywords":"Fluidized bed; Supersonic speed; Nozzle; Coke; Waste management; Materials science; Metallurgy; Mechanics; Engineering; Mechanical engineering","score_opus":0.007680171774292147,"score_gpt":0.19684837555139786,"score_spread":0.18916820377710572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093333774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9684503,0.0011404479,0.026834548,0.00012404563,0.000075869306,0.000047648035,0.00007487971,0.00022998068,0.0030223557],"genre_scores_gemma":[0.98789257,0.00036806831,0.0091408035,0.00001676838,0.000019266172,0.000017653518,0.000096129785,0.000033475644,0.0024151497],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995117,0.000053198797,0.000032133707,0.00008343255,0.00022162532,0.00009786539],"domain_scores_gemma":[0.9997818,0.00009422905,0.000036663427,0.000029251327,0.00004194713,0.00001612641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007010578,0.00023282599,0.0007491033,0.00033356197,0.00070126925,0.0008033266,0.00076437683,0.0004996498,0.0012512006],"category_scores_gemma":[0.00059372286,0.00037540944,0.0004422383,0.0003815099,0.0006211068,0.00091007864,0.0006010675,0.0005955875,0.00043710502],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085509056,0.00013612983,0.0019520862,0.00029426036,0.000031647854,0.00023658988,0.00027405962,0.0065166326,0.9707761,0.0037455668,0.0003730338,0.01480887],"study_design_scores_gemma":[0.00010045114,0.00043550011,0.0028578737,0.000009639102,0.00002131878,0.000114449766,0.000058275993,0.033535674,0.96036,0.00030675,0.0021682628,0.000031839256],"about_ca_topic_score_codex":0.0023295525,"about_ca_topic_score_gemma":0.0031454826,"teacher_disagreement_score":0.0023295525,"about_ca_system_score_codex":0.00081479625,"about_ca_system_score_gemma":0.00069624226,"threshold_uncertainty_score":0.0059117675},"labels":[],"label_agreement":null},{"id":"W2095232344","doi":"10.1002/cjce.20487","title":"SAG mill system diagnosis using multivariate process variable analysis","year":2011,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mill; Process (computing); Process engineering; Principal component analysis; Grinding; Reliability engineering; Multivariate statistics; Computer science; Variable (mathematics); Engineering; Mathematics; Artificial intelligence; Machine learning; Mechanical engineering","score_opus":0.02028207120718432,"score_gpt":0.19849175437734556,"score_spread":0.17820968317016125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095232344","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46084517,0.0001997479,0.5342064,0.00012608459,0.000034364806,0.00010051725,0.00034647368,0.0020142496,0.002126987],"genre_scores_gemma":[0.96719146,0.000043408618,0.032153167,0.00000957502,0.000007983666,0.000018679002,0.0001427174,0.000016363403,0.00041675492],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99965405,0.00006740544,0.000019903926,0.000070134694,0.00015030128,0.000038209873],"domain_scores_gemma":[0.99953616,0.0002015163,0.0000783495,0.000028619383,0.0001372557,0.000018044924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004223784,0.00048256764,0.00039515586,0.0012144163,0.0002031401,0.00061728596,0.00025623819,0.00033181853,0.0009946745],"category_scores_gemma":[0.0010495156,0.00013922845,0.0003050094,0.0005736016,0.00014126836,0.00029327188,0.0002765046,0.00041176332,0.0001922702],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009580425,0.00052256836,0.046896927,0.00026875988,0.00021342344,0.00041064396,0.00020342703,0.18497287,0.17408721,0.0014548864,0.0019369175,0.5880743],"study_design_scores_gemma":[0.000012779995,0.00009885853,0.013982418,0.000004254336,0.00001805461,0.000058043872,0.000029634231,0.97190285,0.0129898265,0.00052362634,0.00036561492,0.00001407267],"about_ca_topic_score_codex":0.002902944,"about_ca_topic_score_gemma":0.002296831,"teacher_disagreement_score":0.002902944,"about_ca_system_score_codex":0.0003006708,"about_ca_system_score_gemma":0.00033749468,"threshold_uncertainty_score":0.005772054},"labels":[],"label_agreement":null},{"id":"W2097003515","doi":"10.1002/cjce.20404","title":"Intelligent fitting of minimum spout‐fluidised velocity in spout‐fluidised bed","year":2010,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Nozzle; Support vector machine; Artificial neural network; Particle density; Particle (ecology); Materials science; Mathematics; Mechanics; Computer science; Engineering; Artificial intelligence; Thermodynamics; Mechanical engineering; Physics; Geology","score_opus":0.008493858375193435,"score_gpt":0.19340894894894925,"score_spread":0.18491509057375582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097003515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7549383,0.00017367676,0.24282005,0.00006759056,0.00003251454,0.000032101674,0.000077249315,0.00087681285,0.0009818058],"genre_scores_gemma":[0.98278195,0.00003402809,0.016849186,0.00000523249,0.0000014144082,0.000014590593,0.000040767172,0.00001542856,0.0002575012],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975866,0.00004836001,0.000016105228,0.000050065377,0.000088942405,0.00003786294],"domain_scores_gemma":[0.9992507,0.00045689178,0.000052763473,0.0000380392,0.00017834356,0.000023201706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007971415,0.00046813212,0.00060345285,0.000642073,0.00027254593,0.00053331803,0.0005647845,0.0008010826,0.00066019135],"category_scores_gemma":[0.002930501,0.00038088663,0.00035585463,0.0003242188,0.00030152395,0.00059608615,0.0002364688,0.0004586726,0.00018300572],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051940326,0.00014740837,0.010094109,0.00018773472,0.000036671052,0.00013693102,0.00015592652,0.86384475,0.0602178,0.0007897034,0.00031478715,0.06355483],"study_design_scores_gemma":[0.0000044048506,0.000035898225,0.0011569146,0.0000026770406,0.000002147535,0.000008085066,0.0000095733385,0.988027,0.010608815,0.00007829244,0.000059789054,0.0000063836806],"about_ca_topic_score_codex":0.0056755594,"about_ca_topic_score_gemma":0.00321097,"teacher_disagreement_score":0.0056755594,"about_ca_system_score_codex":0.00048141426,"about_ca_system_score_gemma":0.0004920679,"threshold_uncertainty_score":0.011285067},"labels":[],"label_agreement":null},{"id":"W2103365143","doi":"","title":"Mineral resource classification: a comparison of new and existing techniques","year":2014,"lang":"en","type":"article","venue":"Journal of the Southern African Institute of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Kriging; Variance (accounting); Heteroscedasticity; Drill; Computer science; Data mining; Resource (disambiguation); Mineral resource classification; Algorithm; Statistics; Geology; Mathematics; Engineering; Machine learning","score_opus":0.044408247277802466,"score_gpt":0.26700665626704045,"score_spread":0.222598408989238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103365143","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08884678,0.115798205,0.733024,0.0021522068,0.0013758722,0.0006000065,0.004474926,0.0044112722,0.049316704],"genre_scores_gemma":[0.19078279,0.07111174,0.7135349,0.00029488732,0.000894796,0.00026184032,0.0046376055,0.00065395096,0.017827446],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99473566,0.0005642336,0.0006182933,0.0006736525,0.003297314,0.000110917645],"domain_scores_gemma":[0.98909855,0.0044018994,0.0007674812,0.00086288713,0.0047049853,0.00016429859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005714191,0.0005607433,0.00084620074,0.014276444,0.00049445144,0.0028496764,0.0020084842,0.0005497765,0.005357466],"category_scores_gemma":[0.009199168,0.00039318387,0.0009183931,0.011130365,0.0005687748,0.0037153894,0.00084415596,0.0006065007,0.0019246332],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001504395,0.00009242033,0.009440315,0.0016238141,0.00010614217,0.000043611664,0.0002243655,0.003592247,0.0021231542,0.0023836335,0.00443596,0.9757839],"study_design_scores_gemma":[0.00019619576,0.0010485081,0.15205778,0.004099848,0.0008902574,0.0026402585,0.003163406,0.21092658,0.03303207,0.015179801,0.5763307,0.00043452738],"about_ca_topic_score_codex":0.0070679868,"about_ca_topic_score_gemma":0.0094046965,"teacher_disagreement_score":0.014276444,"about_ca_system_score_codex":0.0012004205,"about_ca_system_score_gemma":0.0011213666,"threshold_uncertainty_score":0.030219913},"labels":[],"label_agreement":null},{"id":"W21071358","doi":"10.1891/0730-0832.29.6.345","title":"A Predictive Model For Uniaxial Compressive Strength of Carbonate Rocks From Schmidt Hardness","year":2011,"lang":"en","type":"article","venue":"45th U.S. Rock Mechanics / Geomechanics Symposium","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Anadolu Üniversitesi; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Schmidt hammer; Compressive strength; Rock mechanics; Acknowledgement; Geomechanics; Mathematics; Computer science; Geotechnical engineering; Engineering; Artificial intelligence; Materials science; Composite material","score_opus":0.02059815636715028,"score_gpt":0.2101723082672447,"score_spread":0.1895741519000944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W21071358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6448491,0.0049763015,0.31091672,0.002182879,0.000657841,0.00036162665,0.006548053,0.002186156,0.027321298],"genre_scores_gemma":[0.98646635,0.0007754275,0.0053812577,0.000106262996,0.00004829277,0.000112131034,0.001221036,0.00010860839,0.005780547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996884,0.0000400004,0.00002146671,0.000096837764,0.000094904004,0.000058446807],"domain_scores_gemma":[0.9988606,0.00055607234,0.00015137748,0.00007690497,0.00029987755,0.000055242435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010797534,0.0007951125,0.00061178475,0.0013228252,0.00043822537,0.0014660347,0.0021610444,0.0016058626,0.008247798],"category_scores_gemma":[0.004713839,0.00065737165,0.0010179093,0.0011213698,0.00093011087,0.0013984671,0.0005731461,0.0014101691,0.002064578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017951409,0.00018358267,0.03146062,0.00023675464,0.00006509021,0.0003035919,0.0001736696,0.9198173,0.0016153774,0.005140356,0.004195856,0.03662828],"study_design_scores_gemma":[0.000008258685,0.000027597058,0.006203603,0.000031705516,0.000015106618,0.000037190588,0.00004234986,0.9910363,0.00031263023,0.0012751882,0.000988096,0.0000220097],"about_ca_topic_score_codex":0.051533572,"about_ca_topic_score_gemma":0.051583856,"teacher_disagreement_score":0.051533572,"about_ca_system_score_codex":0.0013499362,"about_ca_system_score_gemma":0.0010973519,"threshold_uncertainty_score":0.10246724},"labels":[],"label_agreement":null},{"id":"W2108684221","doi":"10.1179/1743275815y.0000000015","title":"Graphical representation of production results versus estimates in placer mining","year":2015,"lang":"en","type":"article","venue":"Applied Earth Science Transactions of the Institutions of Mining and Metallurgy Section B","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BAH Enterprises (Canada)","funders":"","keywords":"Placer mining; Variable (mathematics); Statistics; Logarithm; Representation (politics); Estimation; Computer science; Mathematics; Data mining; Geology; Engineering","score_opus":0.05592305842137721,"score_gpt":0.2824541906376321,"score_spread":0.2265311322162549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108684221","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19181816,0.0022766585,0.5277926,0.005116999,0.0015609136,0.0010643553,0.09242601,0.08994979,0.0879945],"genre_scores_gemma":[0.7866442,0.0012127864,0.16421905,0.000688235,0.00048728805,0.00067326985,0.026978029,0.004153231,0.014943905],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99738306,0.0010654666,0.00014890809,0.00036677058,0.0008614036,0.00017437567],"domain_scores_gemma":[0.959588,0.030865826,0.0028483334,0.0018573786,0.0045359246,0.0003044606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003359906,0.001463864,0.00075456704,0.006231212,0.00031031776,0.002871904,0.0009465912,0.00076948653,0.043064546],"category_scores_gemma":[0.026748432,0.00035967285,0.00088519446,0.0038064558,0.00061753986,0.0013404659,0.0011266452,0.0009810588,0.0072933743],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040080664,0.00090880867,0.07633981,0.003908128,0.00067047466,0.0021497523,0.0031266932,0.11557306,0.02012417,0.056489926,0.21356688,0.5031343],"study_design_scores_gemma":[0.0008290058,0.0022849888,0.2010368,0.002119528,0.0007825266,0.0021055464,0.0038216799,0.46163157,0.039803065,0.082962096,0.20185958,0.0007636489],"about_ca_topic_score_codex":0.004336498,"about_ca_topic_score_gemma":0.002659005,"teacher_disagreement_score":0.043064546,"about_ca_system_score_codex":0.000759088,"about_ca_system_score_gemma":0.00055752264,"threshold_uncertainty_score":0.1440652},"labels":[],"label_agreement":null},{"id":"W2111769056","doi":"10.1002/cjce.5450780408","title":"Control of fines suspension density in the fines loop of a continuous KCl crystallizer using transmittance measurement and an FBRM® probe","year":2000,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University; University of Saskatchewan","funders":"","keywords":"Suspension (topology); Turbidity; Setpoint; Materials science; Crystallization; Optics; Transmittance; Mineralogy; Flocculation; Dissolution; Analytical Chemistry (journal); Chemistry; Environmental science; Chromatography; Environmental engineering; Optoelectronics; Physics; Geology","score_opus":0.014363233818309933,"score_gpt":0.19377544839309147,"score_spread":0.17941221457478154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111769056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9678553,0.00016141312,0.030636668,0.000077044344,0.00002252661,0.00007028877,0.00010729436,0.00038546065,0.00068409095],"genre_scores_gemma":[0.9749205,0.00012152023,0.023546804,0.000031978467,0.000011855346,0.00005799217,0.000089797075,0.000049390725,0.0011700968],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993187,0.00006984529,0.000042702086,0.00020963632,0.0002958419,0.00006331329],"domain_scores_gemma":[0.9991492,0.0003316212,0.00021533674,0.00008163905,0.00015339984,0.00006879275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053381367,0.00046545704,0.00042880012,0.00027129814,0.00026383405,0.0004640604,0.0004669382,0.00029274196,0.00054470316],"category_scores_gemma":[0.0010278584,0.00024311624,0.00017693601,0.00019072896,0.0004998956,0.00033648172,0.0003532858,0.00045359865,0.00024152991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006387996,0.000010569511,0.00017864087,0.000009753,8.8904477e-7,0.000007565281,0.000018353057,0.00007174549,0.9982722,0.000013331609,0.000008632591,0.0013444657],"study_design_scores_gemma":[0.00001193408,0.00014459014,0.0013370937,0.0000012672888,0.000003924648,0.000024348657,0.000012085678,0.0020798447,0.9961629,0.000007771611,0.00020881949,0.0000055106243],"about_ca_topic_score_codex":0.0024702228,"about_ca_topic_score_gemma":0.0031374802,"teacher_disagreement_score":0.0024702228,"about_ca_system_score_codex":0.0007117504,"about_ca_system_score_gemma":0.00055294856,"threshold_uncertainty_score":0.0051641464},"labels":[],"label_agreement":null},{"id":"W2115980281","doi":"10.5120/12466-8834","title":"Production Forecasting of Petroleum Reservoir applying Higher-Order Neural Networks (HONN) with Limited Reservoir Data","year":2013,"lang":"en","type":"article","venue":"International Journal of Computer Applications","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Petroleum and Energy Studies","keywords":"Computer science; Artificial neural network; Petroleum engineering; Production (economics); Order (exchange); Data mining; Artificial intelligence; Geology; Business","score_opus":0.039205628094471326,"score_gpt":0.26114618492835473,"score_spread":0.22194055683388342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115980281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53144974,0.00067268533,0.46310654,0.00022931522,0.00007606793,0.000043842236,0.00016798834,0.00041440703,0.0038393408],"genre_scores_gemma":[0.9779163,0.00018960852,0.02077385,0.000018945697,0.00001154901,0.000023664847,0.00008940871,0.000008590381,0.00096806826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999871,0.00003181074,0.000010921144,0.000029866902,0.000036467613,0.000019904925],"domain_scores_gemma":[0.9996062,0.00021586198,0.000056237546,0.000025821488,0.00008363507,0.000012235362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041269758,0.0003077677,0.00040105163,0.00024021305,0.00019999572,0.00037865163,0.0004119258,0.0004732413,0.00045141025],"category_scores_gemma":[0.0012008671,0.00021276683,0.00033853907,0.0003916443,0.00018608323,0.0007118973,0.00026810836,0.0004426921,0.00007286879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004300543,0.000025791242,0.002659609,0.00003792217,0.000021906388,0.000051126404,0.000018242932,0.9658947,0.001627319,0.00039920057,0.00010911293,0.029112084],"study_design_scores_gemma":[0.0000010068484,0.0000073770693,0.00035537916,0.0000012171091,0.0000021480846,0.000003482,0.0000017456593,0.99913245,0.00032829904,0.00012384163,0.000041366242,0.0000016417448],"about_ca_topic_score_codex":0.014351295,"about_ca_topic_score_gemma":0.015025803,"teacher_disagreement_score":0.014351295,"about_ca_system_score_codex":0.00048913556,"about_ca_system_score_gemma":0.0004182718,"threshold_uncertainty_score":0.028535545},"labels":[],"label_agreement":null},{"id":"W2118461453","doi":"10.1109/icsmc.1995.538011","title":"Computational intelligence in a real-time SCADA system to monitor and control continuous casting of steel billets","year":2002,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"SCADA; Computer science; Continuous casting; Supervisory control; Field (mathematics); Process (computing); Chart; Expert system; Heuristic; Control chart; Control engineering; Artificial intelligence; Control (management); Engineering","score_opus":0.012097502041461941,"score_gpt":0.21819904854190517,"score_spread":0.2061015465004432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118461453","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13408774,0.00029069535,0.8365591,0.00050654943,0.00016196576,0.00015222184,0.00009574124,0.008024795,0.020121139],"genre_scores_gemma":[0.89059925,0.00007816648,0.10596106,0.00009864738,0.00003139706,0.00009708309,0.00006806173,0.000054331373,0.0030118222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978846,0.00005245822,0.000014356798,0.000046328183,0.000075622724,0.000022722243],"domain_scores_gemma":[0.99965763,0.00010356538,0.000039011487,0.00004621467,0.0001255656,0.000028023882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003533224,0.00032471714,0.00028868736,0.00027327787,0.00032876193,0.0008168809,0.0006192922,0.00030837717,0.00112135],"category_scores_gemma":[0.00089715124,0.00016211272,0.00015561661,0.00026827608,0.00044249743,0.00046586478,0.00022044782,0.00041988818,0.0002529595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008574699,0.0003489179,0.007108493,0.00027960804,0.00011259116,0.0009969432,0.0008504028,0.4727848,0.09919983,0.060127567,0.013913801,0.34341964],"study_design_scores_gemma":[0.00006347377,0.00018597624,0.0012291032,0.000014425719,0.00003936706,0.000108601234,0.00003638858,0.9627743,0.018373016,0.003759664,0.013399552,0.00001618693],"about_ca_topic_score_codex":0.0032996782,"about_ca_topic_score_gemma":0.0032959026,"teacher_disagreement_score":0.0032996782,"about_ca_system_score_codex":0.00063589326,"about_ca_system_score_gemma":0.0007514299,"threshold_uncertainty_score":0.0065609813},"labels":[],"label_agreement":null},{"id":"W2123803062","doi":"10.1016/j.cep.2007.11.012","title":"An investigation of carbon nanotube jet grinding","year":2007,"lang":"en","type":"article","venue":"Chemical Engineering and Processing - Process Intensification","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; McGill University","funders":"","keywords":"Carbon nanotube; Grinding; Jet (fluid); Nanotube; Materials science; Nanotechnology; Mechanics; Metallurgy; Physics","score_opus":0.01358167116562028,"score_gpt":0.2378545958118241,"score_spread":0.22427292464620383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123803062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812533,0.0017208337,0.009567846,0.000105114086,0.00006704769,0.000049117407,0.00010696823,0.00012332747,0.007006396],"genre_scores_gemma":[0.98739994,0.000742234,0.0074041425,0.00004964181,0.000016256748,0.000011348,0.00013039258,0.000043729604,0.0042023375],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996617,0.000018683679,0.0000076169886,0.000050482417,0.0002203329,0.000041172145],"domain_scores_gemma":[0.9996315,0.0001445012,0.000057305162,0.000041114403,0.00010266467,0.000022757948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027325726,0.00021851524,0.00025986985,0.00030430968,0.000506969,0.0004391776,0.00032417366,0.00056829717,0.0013307483],"category_scores_gemma":[0.00059781893,0.00015884358,0.00021993472,0.000360897,0.00038662858,0.00047327045,0.00016261371,0.000409653,0.00022393759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067543166,0.000016484144,0.0003299465,0.00003902204,0.0000025181587,0.00015662632,0.000048369402,0.00017074485,0.99549794,0.00026475106,0.000033981727,0.0033722247],"study_design_scores_gemma":[0.0000053880676,0.00017796672,0.007005942,0.0000047907015,0.0000064097385,0.0002657623,0.000048074646,0.0021238115,0.9886882,0.00013284954,0.0015344039,0.000006483995],"about_ca_topic_score_codex":0.0012004554,"about_ca_topic_score_gemma":0.0021178136,"teacher_disagreement_score":0.0013307483,"about_ca_system_score_codex":0.00043678237,"about_ca_system_score_gemma":0.00028836442,"threshold_uncertainty_score":0.004451871},"labels":[],"label_agreement":null},{"id":"W2130760402","doi":"10.1016/j.ijrmms.2009.05.003","title":"Modified Kuz—Ram fragmentation model and its use at the Sungun Copper Mine","year":2009,"lang":"en","type":"article","venue":"International Journal of Rock Mechanics and Mining Sciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Sahand University of Technology","keywords":"Rock blasting; Mathematics; Block size; Applied mathematics; Statistics; Mechanics; Materials science; Physics; Geology; Computer science; Geotechnical engineering","score_opus":0.03657047005922143,"score_gpt":0.2817519450094588,"score_spread":0.2451814749502374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130760402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9675925,0.00017344806,0.02424966,0.00016435394,0.000031233172,0.00007131293,0.0004278702,0.0003133881,0.0069761286],"genre_scores_gemma":[0.9956774,0.000060876257,0.003055592,0.000008954225,0.0000056100525,0.000030584706,0.00013515225,0.00004093787,0.0009849189],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981064,0.000056400902,0.000012649875,0.00004478466,0.000032437616,0.00004313311],"domain_scores_gemma":[0.9994217,0.00019124884,0.00007140813,0.00006947798,0.00016997101,0.000076157456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057547604,0.0005238006,0.0007952789,0.001016094,0.0010749169,0.0011622749,0.0028929105,0.0021522697,0.0025818814],"category_scores_gemma":[0.0013384707,0.00045141348,0.00080650585,0.0011281247,0.000522072,0.0010694411,0.0008512164,0.00059789524,0.00041791872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011798059,0.0001025392,0.009151565,0.00003078195,0.000020077243,0.00032290432,0.00007685033,0.9811739,0.0007382445,0.0017698009,0.00037259038,0.006122825],"study_design_scores_gemma":[0.000008388963,0.000016009419,0.0015449574,0.0000035264848,0.0000052131345,0.000026479278,0.00003285596,0.9979425,0.00009404395,0.00023751508,0.00008067045,0.000007726992],"about_ca_topic_score_codex":0.050553743,"about_ca_topic_score_gemma":0.023645887,"teacher_disagreement_score":0.050553743,"about_ca_system_score_codex":0.0011429666,"about_ca_system_score_gemma":0.0010768053,"threshold_uncertainty_score":0.10051894},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2131738550","doi":"10.1080/17480930701482961","title":"Operator and dipper tooth influence on electric shovel performance during oil sands mining","year":2008,"lang":"en","type":"article","venue":"International Journal of Mining Reclamation and Environment","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Syncrude (Canada)","funders":"Syncrude","keywords":"Shovel; Digging; Hoist (device); Dipper; Engineering; Mining engineering; Operator (biology); Mechanical engineering; Geography; Archaeology","score_opus":0.008424183452015637,"score_gpt":0.1939115165820215,"score_spread":0.18548733313000584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131738550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997718,0.0000067713086,0.00009693751,0.0000026488972,5.5372027e-7,0.0000024780431,0.000024731547,0.0000024271048,0.00009159758],"genre_scores_gemma":[0.99924797,0.000023174553,0.00022596765,0.0000055314554,0.0000018831697,0.0000036462911,0.00008605482,0.000003383885,0.0004024402],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994431,0.00011425616,0.00004152779,0.00011533011,0.0001891492,0.00009648836],"domain_scores_gemma":[0.99781054,0.0007767165,0.0005105029,0.00009622332,0.0005353477,0.0002706472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050112174,0.00028527007,0.00029859346,0.00074918004,0.0003430682,0.00049925275,0.00024748806,0.00036306967,0.0006197923],"category_scores_gemma":[0.002651822,0.0002259586,0.00017420697,0.0004965416,0.0003628371,0.00027386314,0.00041559918,0.00022626754,0.0002115791],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013678928,0.0003932523,0.9029985,0.00008178062,0.00006787673,0.0011016699,0.003334241,0.0013502357,0.061900433,0.000021813581,0.00012856674,0.027253767],"study_design_scores_gemma":[0.0000047685985,0.0011832102,0.9916258,0.0000051250126,0.000014848993,0.0002636702,0.0017745184,0.00081539305,0.004039978,0.00001771511,0.00023846077,0.000016534786],"about_ca_topic_score_codex":0.0066423337,"about_ca_topic_score_gemma":0.023619415,"teacher_disagreement_score":0.0066423337,"about_ca_system_score_codex":0.0003505021,"about_ca_system_score_gemma":0.0003086666,"threshold_uncertainty_score":0.013207376},"labels":[],"label_agreement":null},{"id":"W2134636025","doi":"","title":"Fluidized bed gasification of selected South African coals","year":2010,"lang":"en","type":"article","venue":"Journal of the Southern African Institute of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Society of Intestinal Research","funders":"","keywords":"Fluidized bed; Metallurgy; Coal gasification; Coal; Waste management; Mining engineering; Engineering; Materials science","score_opus":0.012312568167657413,"score_gpt":0.20681360355025502,"score_spread":0.1945010353825976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134636025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99419326,0.001241185,0.00047756027,0.000074961514,0.000030951687,0.00002237966,0.00018823407,0.000014772908,0.0037565872],"genre_scores_gemma":[0.99446726,0.0008266525,0.0004398092,0.000014238841,0.0000059662098,0.000007268557,0.00015067992,0.000010478847,0.0040776846],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999052,0.000013756701,0.000004248512,0.000013899733,0.000033475953,0.0000293137],"domain_scores_gemma":[0.9999647,0.000012373039,0.000005007209,0.0000023042267,0.00000874151,0.0000068969916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018726458,0.00035132552,0.0003213382,0.00063522666,0.00051304314,0.00045946203,0.00023557991,0.00035182846,0.0032890143],"category_scores_gemma":[0.00019739101,0.00008734027,0.00026453304,0.00044381418,0.00026919102,0.000521385,0.00027587713,0.00032960362,0.00041316287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025454406,0.00038293414,0.003073039,0.0009988196,0.000058117545,0.0011132065,0.0005645958,0.007931834,0.9429489,0.001186801,0.0009275208,0.038268812],"study_design_scores_gemma":[0.00007248758,0.0007895532,0.0112041645,0.000073707924,0.000031536438,0.0002635497,0.0005024219,0.006748044,0.9714372,0.00042070847,0.008432718,0.000023948201],"about_ca_topic_score_codex":0.0037687817,"about_ca_topic_score_gemma":0.007652483,"teacher_disagreement_score":0.0037687817,"about_ca_system_score_codex":0.00049046404,"about_ca_system_score_gemma":0.0002976317,"threshold_uncertainty_score":0.011002839},"labels":[],"label_agreement":null},{"id":"W2139918380","doi":"10.1109/cdc.2007.4434577","title":"An intelligent approach for supervisory control of grinding product particle size","year":2007,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Grinding; Supervisory control; Intelligent control; Fuzzy control system; Process (computing); Artificial neural network; Control system; Fuzzy logic; Interface (matter); Control engineering; Control (management); Engineering; Artificial intelligence; Mechanical engineering; Operating system","score_opus":0.033154118979298805,"score_gpt":0.2528987753035136,"score_spread":0.2197446563242148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139918380","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025126878,0.0002559473,0.9705118,0.000087748354,0.00005410145,0.00004146069,0.000016294005,0.00083230407,0.0030734448],"genre_scores_gemma":[0.9185744,0.0001838355,0.07961123,0.00005911257,0.000058870268,0.00007323317,0.000032296448,0.000027836231,0.0013790457],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999788,0.000028239008,0.0000139160875,0.000072045805,0.00008175866,0.000016069846],"domain_scores_gemma":[0.99965894,0.00009374192,0.00006191934,0.000042830146,0.00012573242,0.000016821625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003251282,0.00040488038,0.00031497923,0.00030177386,0.00024523056,0.0005504232,0.00059558585,0.00029462297,0.0006225244],"category_scores_gemma":[0.0006195038,0.00013935515,0.00024581017,0.00016609103,0.00041984295,0.00029079005,0.00026847466,0.00044244176,0.00011006899],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022728935,0.00023982307,0.0033543059,0.000332532,0.00008681096,0.00020464286,0.0005105819,0.25825357,0.22580649,0.013313995,0.0019238696,0.49574617],"study_design_scores_gemma":[0.000026975282,0.0003095988,0.0018372412,0.000013875281,0.000040780204,0.00009580511,0.000029901887,0.95475864,0.036498822,0.0028620376,0.0035029703,0.000023312858],"about_ca_topic_score_codex":0.0015955673,"about_ca_topic_score_gemma":0.002038168,"teacher_disagreement_score":0.0015955673,"about_ca_system_score_codex":0.00033393494,"about_ca_system_score_gemma":0.00048634582,"threshold_uncertainty_score":0.0031725168},"labels":[],"label_agreement":null},{"id":"W2142958615","doi":"10.1002/cjce.5450840302","title":"Thermal Blending Time Associated With a Charge of Hot Particles Added to a Fluidized Bed of Uniform Temperature","year":2006,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University; Coanda Research and Development Corporation (Canada)","funders":"National Research Council Canada","keywords":"Fluidized bed; Heat transfer; Mixing (physics); Work (physics); Fluidization; Mechanics; Materials science; Dispersion (optics); Thermodynamics; Particle (ecology); Physics","score_opus":0.004355923326325554,"score_gpt":0.15981882108519696,"score_spread":0.1554628977588714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142958615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99765956,0.0002043588,0.0012321494,0.000019687013,0.000026579637,0.000015074546,0.00008542079,0.000044497065,0.0007126779],"genre_scores_gemma":[0.998936,0.000050884053,0.00047033792,0.000008418057,0.000004760364,0.0000067907804,0.000072808085,0.000009916664,0.00044017463],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997608,0.00003000469,0.000017973574,0.00004577818,0.00008618072,0.000059212336],"domain_scores_gemma":[0.9993788,0.00029127084,0.00011629536,0.00004129417,0.00010034747,0.00007207514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031043318,0.00022761992,0.00047498738,0.00049217814,0.00028906274,0.00059660367,0.00021390326,0.00026776682,0.002723862],"category_scores_gemma":[0.0010377908,0.00011332058,0.00027763046,0.00053116505,0.00035471658,0.00040783372,0.0002470957,0.00039133566,0.00025466262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051956703,0.00033868523,0.004670755,0.0001376523,0.000031957527,0.00020483043,0.00014390511,0.004396088,0.96991754,0.0003942562,0.00013343399,0.014435307],"study_design_scores_gemma":[0.000041181447,0.0020892515,0.021345012,0.000009677733,0.000044979057,0.00004923804,0.00012320743,0.020970887,0.95455813,0.0001329711,0.00060773006,0.000027823258],"about_ca_topic_score_codex":0.0009480322,"about_ca_topic_score_gemma":0.001028566,"teacher_disagreement_score":0.002723862,"about_ca_system_score_codex":0.00040579188,"about_ca_system_score_gemma":0.00018195913,"threshold_uncertainty_score":0.009112239},"labels":[],"label_agreement":null},{"id":"W2145928547","doi":"10.1144/sp384.17","title":"Automated forensic soil mineral analysis; testing the potential of lithotyping","year":2013,"lang":"en","type":"article","venue":"Geological Society London Special Publications","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Burnaby Hospital","funders":"","keywords":"Forensic science; Mineral; Soil test; Forensic engineering; Geology; Mining engineering; Environmental science; Engineering; Soil water; Soil science; Materials science; Archaeology; Metallurgy; Geography","score_opus":0.019810581507454177,"score_gpt":0.2290676304007622,"score_spread":0.209257048893308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145928547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.963044,0.00014296625,0.03363792,0.00008064431,0.00001587478,0.00006897564,0.00047842736,0.0009603414,0.001570914],"genre_scores_gemma":[0.9586034,0.00007159627,0.040325634,0.000028069338,0.0000059672693,0.000023755078,0.00044946827,0.000037794845,0.00045436504],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986519,0.00047086514,0.000041267995,0.0002849154,0.00046265742,0.000088380766],"domain_scores_gemma":[0.9954014,0.0024473232,0.0006683445,0.0005394138,0.0007900452,0.00015347512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016185474,0.0003158868,0.00025813733,0.0011785682,0.00039078874,0.0008811275,0.000647282,0.0007393013,0.001242821],"category_scores_gemma":[0.004397638,0.00013793135,0.00017226496,0.0007838091,0.00043111175,0.0005228414,0.0009699738,0.00019401105,0.00050158956],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003911723,0.0011773204,0.18697046,0.00034400763,0.00019387854,0.00067416404,0.0006540475,0.091513574,0.32659882,0.0019623756,0.002073751,0.3839259],"study_design_scores_gemma":[0.00009801855,0.0013107822,0.119967416,0.000027987442,0.00007990159,0.0006279235,0.00043536306,0.6313508,0.24038683,0.0019009312,0.0037465093,0.000067583955],"about_ca_topic_score_codex":0.0023537725,"about_ca_topic_score_gemma":0.0027463094,"teacher_disagreement_score":0.0023537725,"about_ca_system_score_codex":0.0003242457,"about_ca_system_score_gemma":0.00037792732,"threshold_uncertainty_score":0.008559823},"labels":[],"label_agreement":null},{"id":"W2146387312","doi":"10.1109/igarss.1996.516370","title":"DATE-dip algorithm testing and evaluating workbench","year":2002,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Workbench; Computation; Algorithm; Computer science; Tilt (camera); Development (topology); Relation (database); Data mining; Engineering; Mechanical engineering; Mathematics; Visualization","score_opus":0.07575978224609055,"score_gpt":0.26097954201278784,"score_spread":0.1852197597666973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146387312","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4135391,0.00062460406,0.51495016,0.00043016518,0.0004068091,0.0014265206,0.003584749,0.043046325,0.021991495],"genre_scores_gemma":[0.61710924,0.00021439164,0.36408308,0.00016376584,0.00004734591,0.00096663425,0.006472317,0.0018059992,0.009137154],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99774015,0.00055380276,0.0002528724,0.00034796126,0.0009217186,0.00018352839],"domain_scores_gemma":[0.9934622,0.002548705,0.00023083885,0.0010867207,0.0024403133,0.00023123412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024641799,0.00079522585,0.0006377766,0.0012517321,0.00045857858,0.0013518513,0.0017854755,0.000870934,0.00611801],"category_scores_gemma":[0.011291396,0.00030899546,0.00044023618,0.0006674474,0.0004475146,0.0015050469,0.0008235329,0.0005917907,0.0015216803],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037951123,0.0017938426,0.02217809,0.00088158087,0.00025259136,0.001057057,0.00068341626,0.14374423,0.073074944,0.021302706,0.036113698,0.6951227],"study_design_scores_gemma":[0.0007473016,0.0025343653,0.007048174,0.0000704308,0.000085638814,0.00046726293,0.00033515843,0.7474034,0.1969372,0.0023423294,0.04193685,0.00009187142],"about_ca_topic_score_codex":0.0021692694,"about_ca_topic_score_gemma":0.0015014132,"teacher_disagreement_score":0.00611801,"about_ca_system_score_codex":0.00083844626,"about_ca_system_score_gemma":0.0008235015,"threshold_uncertainty_score":0.020466745},"labels":[],"label_agreement":null},{"id":"W2149293186","doi":"10.1243/09596518jsce364","title":"Intelligent work-situation fault diagnosis and fault-tolerant system for the shaft-furnace roasting process","year":2007,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Roasting; Fault (geology); Factory (object-oriented programming); Process (computing); Work (physics); Fault tolerance; Controller (irrigation); Reliability engineering; Control system; Process control; Computer science; Process engineering; Engineering; Control engineering; Control theory (sociology); Control (management); Artificial intelligence; Mechanical engineering","score_opus":0.013348344716404316,"score_gpt":0.22032501814999425,"score_spread":0.20697667343358994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149293186","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32864898,0.0006228284,0.66144544,0.0003537186,0.00014565856,0.0001992489,0.00009313598,0.0042027044,0.0042883144],"genre_scores_gemma":[0.9823246,0.0000713832,0.016442433,0.000030425066,0.0000118834,0.000044024113,0.000043570806,0.00000832021,0.0010235304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995919,0.00005106559,0.000035074783,0.00013956889,0.00013119951,0.000051278315],"domain_scores_gemma":[0.9996762,0.00008459772,0.00007213944,0.000029250135,0.00011452077,0.000023348948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050839485,0.00061853474,0.00070690055,0.0004370123,0.000671632,0.0006691464,0.0007650852,0.00081414473,0.0010874361],"category_scores_gemma":[0.0009990452,0.00026822468,0.00045013896,0.00028182604,0.00034595927,0.0004850957,0.00037474057,0.00044189548,0.00022183584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001180772,0.000594952,0.008053809,0.00048140957,0.00017690589,0.0010450063,0.00072678755,0.56045187,0.095743775,0.00330519,0.0028073222,0.3254322],"study_design_scores_gemma":[0.000042823805,0.00015819664,0.0015184942,0.0000072792027,0.000042906828,0.000071754344,0.000024469407,0.99024886,0.0069782087,0.00030707836,0.0005829847,0.000017060502],"about_ca_topic_score_codex":0.0094760815,"about_ca_topic_score_gemma":0.0051741404,"teacher_disagreement_score":0.0094760815,"about_ca_system_score_codex":0.00083599874,"about_ca_system_score_gemma":0.000728429,"threshold_uncertainty_score":0.018841863},"labels":[],"label_agreement":null},{"id":"W2152353987","doi":"10.1002/cjce.22359","title":"Effect of microwave radiation on the processing of a Cu‐Ni sulphide ore","year":2015,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Microwave; Mineral processing; Metallurgy; Radiation; Materials science; Microwave heating; Microwave irradiation; Engineering; Optics; Physics; Telecommunications","score_opus":0.009339272925328703,"score_gpt":0.19837177564861797,"score_spread":0.18903250272328925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152353987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988883,0.0002499957,0.00039050227,0.000015333017,0.0000074515015,0.0000073836277,0.000030547806,0.000016165992,0.00039422297],"genre_scores_gemma":[0.9984332,0.00014334854,0.00065117865,0.000015293252,0.000004477419,0.0000066279963,0.000037128968,0.000009570236,0.000699194],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992704,0.00001375872,0.000006358028,0.000016453923,0.000020673579,0.000015785783],"domain_scores_gemma":[0.99988556,0.0000420424,0.000030602398,0.000009638421,0.000022317226,0.000009882085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015015005,0.00019324725,0.0002361939,0.00014391981,0.00016466003,0.00013575424,0.00011317016,0.00022114464,0.0010539964],"category_scores_gemma":[0.00023567921,0.00012180026,0.00022394891,0.00013046888,0.00014763758,0.00009836853,0.0000901431,0.00024681998,0.00017325084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024438417,0.000015811278,0.00019388214,0.00005007487,0.0000073760125,0.000033958888,0.000040881223,0.00009795744,0.99799997,0.000009497127,0.000020819183,0.0012854602],"study_design_scores_gemma":[0.000007559956,0.00052037864,0.005291848,0.0000032318378,0.000011882347,0.000040785646,0.00002938204,0.0003520467,0.9933014,0.0000060186944,0.00043159793,0.0000038557023],"about_ca_topic_score_codex":0.00075387565,"about_ca_topic_score_gemma":0.0013666775,"teacher_disagreement_score":0.0010539964,"about_ca_system_score_codex":0.00014968302,"about_ca_system_score_gemma":0.00008364252,"threshold_uncertainty_score":0.0035259724},"labels":[],"label_agreement":null},{"id":"W2163498833","doi":"10.1002/cjce.22043","title":"Modelling and simulation of raw material blending process in cement raw mix milling installations","year":2014,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Raw material; Mixing (physics); Lime; Process engineering; Cement; Process (computing); Mill; System dynamics; Materials science; Mechanical engineering; Engineering; Computer science; Metallurgy; Chemistry; Physics","score_opus":0.01156416352661571,"score_gpt":0.20133013685757106,"score_spread":0.18976597333095535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163498833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.831403,0.00020098692,0.15545996,0.00016121469,0.0000460987,0.0001647775,0.0008619241,0.0012495669,0.010452476],"genre_scores_gemma":[0.99386746,0.000051844276,0.0042240447,0.000006599827,0.000002034976,0.00005401177,0.00015726262,0.000015625417,0.0016211646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998373,0.000039549883,0.000009195093,0.00002978835,0.00004580273,0.00003837948],"domain_scores_gemma":[0.99965525,0.00018817681,0.0000434729,0.000025649671,0.00005750777,0.000029864728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003518974,0.0006143993,0.0006650343,0.00051894167,0.00043965512,0.0008127859,0.00072881195,0.0010977068,0.0024445562],"category_scores_gemma":[0.0006535963,0.00030598306,0.000665091,0.00037289126,0.00039136366,0.00039606646,0.0004307802,0.0006148583,0.000247769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025428917,0.000017777285,0.00062791666,0.000013850748,0.000004432643,0.000035737612,0.000011199127,0.9972978,0.0008610014,0.00020851064,0.000032745676,0.0008635379],"study_design_scores_gemma":[0.0000055305995,0.000022524715,0.00025572514,0.000001223441,0.0000024799726,0.0000037121765,0.0000057480515,0.9990133,0.000501162,0.00009234956,0.00009369443,0.0000024255826],"about_ca_topic_score_codex":0.018639203,"about_ca_topic_score_gemma":0.008757281,"teacher_disagreement_score":0.018639203,"about_ca_system_score_codex":0.0008392559,"about_ca_system_score_gemma":0.00074812706,"threshold_uncertainty_score":0.037061453},"labels":[],"label_agreement":null},{"id":"W2165761400","doi":"10.24908/pceea.v0i0.3851","title":"INSTRUMENTED BALL DESIGN AND DEVELOPMENT","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Comminution; Ball (mathematics); Ball mill; Kinematics; Mill; Ball screw; Mechanical engineering; Engineering; Computer science; Simulation; Mathematics; Physics; Materials science; Classical mechanics; Geometry","score_opus":0.014388538433819514,"score_gpt":0.17011105361018186,"score_spread":0.15572251517636235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165761400","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016317094,0.0011161274,0.94922245,0.00027800575,0.00071020616,0.002222847,0.0010353053,0.0040037474,0.025094314],"genre_scores_gemma":[0.20541666,0.0014001385,0.73917884,0.00029359836,0.00011777958,0.0020559076,0.0026403486,0.0006591433,0.048237596],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99529594,0.00030178804,0.000279381,0.00059056014,0.003317088,0.0002151847],"domain_scores_gemma":[0.9964336,0.0002835155,0.00022970515,0.0004389336,0.0024090118,0.0002051948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031944655,0.0010618981,0.0013427979,0.0016455005,0.00066469243,0.0019431084,0.0037132385,0.001522718,0.011173762],"category_scores_gemma":[0.0048231804,0.00091205566,0.000590337,0.0009877604,0.00084955443,0.0015308135,0.0017204923,0.0010270957,0.006540681],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020079887,0.00056882104,0.010550779,0.0035294208,0.00012295708,0.0010657627,0.00096773944,0.058933076,0.21013975,0.045054503,0.036947135,0.6301121],"study_design_scores_gemma":[0.0004045465,0.0052421507,0.008817652,0.00031865554,0.00015304344,0.0025507202,0.00033277692,0.16860446,0.23058692,0.0048263143,0.5778607,0.00030206374],"about_ca_topic_score_codex":0.0022815426,"about_ca_topic_score_gemma":0.0022390266,"teacher_disagreement_score":0.011173762,"about_ca_system_score_codex":0.0010932981,"about_ca_system_score_gemma":0.0025234842,"threshold_uncertainty_score":0.03737992},"labels":[],"label_agreement":null},{"id":"W2169079983","doi":"10.1007/s10611-007-9064-6","title":"The alchemy of fraud: Investment scams in the precious-metals mining business","year":2007,"lang":"en","type":"article","venue":"Crime Law and Social Change","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Precious metal; Appeal; Investment (military); Exploit; Impossibility; Business; Economics; Commerce; Law and economics; Law; Political science; Computer security; Computer science; Chemistry","score_opus":0.05124071796894333,"score_gpt":0.2712560387366018,"score_spread":0.22001532076765848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169079983","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23189224,0.008032818,0.010010338,0.3007971,0.0007094855,0.00006041059,0.000111906054,0.0000715834,0.448314],"genre_scores_gemma":[0.9764073,0.0017180513,0.000468059,0.0056173964,0.00051229546,0.000015756954,0.00000964697,0.000016278014,0.015235316],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99722266,0.0012690775,0.0000748473,0.0002470146,0.0005601315,0.0006262037],"domain_scores_gemma":[0.9880797,0.007478576,0.0016397987,0.00065539515,0.0013656084,0.00078085484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034139892,0.00027907308,0.00034817398,0.0015948496,0.008102705,0.011494862,0.0012679555,0.013433107,0.00615205],"category_scores_gemma":[0.018560482,0.00033955468,0.0004108233,0.0012780055,0.019555269,0.0104728015,0.0038009773,0.007899078,0.00042919724],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036259935,0.000052886302,0.004057384,0.000025361094,0.000012277937,0.0008385651,0.0053378926,0.00085807865,0.0001059363,0.9555382,0.021317398,0.011819728],"study_design_scores_gemma":[0.00003445932,0.000053229567,0.006200655,0.0002474816,0.000041214134,0.0010368376,0.014448207,0.0051567443,0.00041028994,0.8517898,0.1205252,0.000055915236],"about_ca_topic_score_codex":0.022355124,"about_ca_topic_score_gemma":0.029456586,"teacher_disagreement_score":0.022355124,"about_ca_system_score_codex":0.0044371216,"about_ca_system_score_gemma":0.004848073,"threshold_uncertainty_score":0.044450045},"labels":[],"label_agreement":null},{"id":"W2171257692","doi":"10.1002/cjce.5450810116","title":"Decreasing the Sampling Time Interval in Radioactive Particle Tracking","year":2003,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"University of Tehran","keywords":"TRACER; Tracking (education); Particle (ecology); Radioactive tracer; Detector; Sampling (signal processing); Interval (graph theory); Radioactive source; Standard deviation; Environmental science; Nuclear physics; Nuclear engineering; Radiochemistry; Physics; Chemistry; Mathematics; Statistics; Engineering; Geology; Optics","score_opus":0.015818290847792772,"score_gpt":0.20592764068601793,"score_spread":0.19010934983822517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171257692","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25100246,0.0020162915,0.73853296,0.00029603456,0.00039685133,0.00034617886,0.000247008,0.0050667287,0.0020954562],"genre_scores_gemma":[0.49878952,0.000686985,0.4958285,0.00025105127,0.00012234632,0.00040562762,0.00062707515,0.0006671441,0.0026217026],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971064,0.0008237117,0.0003373897,0.0007095809,0.0008638576,0.00015915123],"domain_scores_gemma":[0.9862888,0.00763987,0.0011770723,0.0019795387,0.0025822532,0.00033247456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035119022,0.0008824024,0.0008413158,0.000922087,0.00038987564,0.0009162574,0.0017296729,0.0007643681,0.00236392],"category_scores_gemma":[0.01532439,0.000574261,0.00043308063,0.0010711694,0.00031856637,0.0012126295,0.0008124018,0.0011224658,0.0011187711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027521395,0.0006462984,0.011508578,0.0007848045,0.00011809568,0.00017576932,0.00033724017,0.0149525525,0.71847457,0.0021265403,0.0013475732,0.24677582],"study_design_scores_gemma":[0.0002490165,0.0013406192,0.014106906,0.00008857019,0.00026172923,0.00048244756,0.000058833477,0.09926524,0.8684501,0.0009055573,0.014672665,0.00011834291],"about_ca_topic_score_codex":0.0012638272,"about_ca_topic_score_gemma":0.0014741528,"teacher_disagreement_score":0.0035119022,"about_ca_system_score_codex":0.00047114474,"about_ca_system_score_gemma":0.00083005615,"threshold_uncertainty_score":0.018572927},"labels":[],"label_agreement":null},{"id":"W2179527983","doi":"10.1016/j.minpro.2015.09.015","title":"Rock lithological classification using multi-scale Gabor features from sub-images, and voting with rock contour information","year":2015,"lang":"en","type":"article","venue":"International Journal of Mineral Processing","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fondo de Fomento al Desarrollo Científico y Tecnológico; Fondo Nacional de Desarrollo Científico y Tecnológico; Comisión Nacional de Investigación Científica y Tecnológica; Centro Avanzado de Tecnología para la Minería; Université Laval","keywords":"Pixel; Geology; Support vector machine; Artificial intelligence; Pattern recognition (psychology); Scale (ratio); Feature (linguistics); Texture (cosmology); Computer science; Feature extraction; Remote sensing; Computer vision; Image (mathematics); Geography","score_opus":0.035021811393668,"score_gpt":0.27379335678607825,"score_spread":0.23877154539241024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2179527983","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37671402,0.000442992,0.61708844,0.00014735415,0.00017103492,0.00015673746,0.00030109336,0.0012009676,0.0037773135],"genre_scores_gemma":[0.87376964,0.00018839989,0.12270798,0.00005022519,0.000052360487,0.000050875613,0.0005489779,0.00008198524,0.00254951],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994338,0.000055541354,0.000045533572,0.00013649621,0.00020640131,0.00012223462],"domain_scores_gemma":[0.9994956,0.00007670226,0.000048041045,0.000103405015,0.00024088265,0.000035325513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008554493,0.00051592255,0.0012099739,0.0018190908,0.00036639444,0.0008439187,0.00070200814,0.00056608143,0.0011435199],"category_scores_gemma":[0.0010322704,0.00028674497,0.00099337,0.0013663847,0.00038888585,0.00078821444,0.00074880285,0.00040282455,0.0007132316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010106448,0.00030856222,0.012903645,0.00017860168,0.00023106339,0.000120668745,0.000118140066,0.018313259,0.21391392,0.0010946529,0.0018525106,0.74995434],"study_design_scores_gemma":[0.000058420912,0.0003608909,0.046429884,0.000028128294,0.0003723864,0.00024939698,0.00021328902,0.87173605,0.07647367,0.0016299556,0.0023997168,0.000048163685],"about_ca_topic_score_codex":0.0023158356,"about_ca_topic_score_gemma":0.0057284622,"teacher_disagreement_score":0.0023158356,"about_ca_system_score_codex":0.00025308615,"about_ca_system_score_gemma":0.0004972822,"threshold_uncertainty_score":0.004604697},"labels":[],"label_agreement":null},{"id":"W2191702662","doi":"10.1016/j.ces.2015.10.018","title":"Observation of iron ore beneficiation within a spiral concentrator by positron emission particle tracking of large (Ø=1440 μm) and small (Ø=58 μm) hematite and quartz tracers","year":2015,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hematite; Quartz; Mineralogy; Cyclotron; Materials science; Gravity separation; Concentrator; Particle (ecology); Tracking (education); Slurry; Settling; Chemistry; Physics; Optics; Nuclear physics; Metallurgy; Composite material; Geology; Electron; Thermodynamics","score_opus":0.017842759281728765,"score_gpt":0.22362273799000942,"score_spread":0.20577997870828066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2191702662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741924,0.000032637014,0.0018788999,0.00002270429,0.000001932769,0.000008827466,0.000057319143,0.00007500162,0.000503509],"genre_scores_gemma":[0.99539834,0.00005188409,0.00325849,0.0000178381,0.0000028356737,0.000010860934,0.000108721615,0.000019235344,0.0011318373],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992037,0.0000048317556,0.0000026325724,0.000025684873,0.000025694626,0.000020697626],"domain_scores_gemma":[0.9997211,0.00008098102,0.00006739241,0.000026547325,0.000059395712,0.0000446715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024184282,0.0002829738,0.00039777675,0.0003306006,0.0003251756,0.0003432982,0.00066218164,0.0005920657,0.000760401],"category_scores_gemma":[0.00033185014,0.0002449394,0.00023466795,0.00026313044,0.0003949297,0.00028095118,0.0003089931,0.00035292094,0.00022760777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028475205,0.000023519235,0.00424555,0.000011699297,0.000008597495,0.00010410479,0.00006242461,0.00030310918,0.9938128,0.00007708366,0.00003634527,0.001029903],"study_design_scores_gemma":[0.000075444535,0.00061945274,0.04546288,0.0000063796806,0.0000305247,0.00028844547,0.00013125375,0.010637266,0.9419109,0.00007585916,0.0007425381,0.000019012527],"about_ca_topic_score_codex":0.0029345402,"about_ca_topic_score_gemma":0.0031228557,"teacher_disagreement_score":0.0029345402,"about_ca_system_score_codex":0.000557504,"about_ca_system_score_gemma":0.00039103086,"threshold_uncertainty_score":0.005834937},"labels":[],"label_agreement":null},{"id":"W2194482846","doi":"10.12723/mjs.18.4","title":"Treatment of the Effluent Generated from the Pickling Method and to Remove their Toxic Property to Make it Eco-friendly","year":2011,"lang":"en","type":"article","venue":"Mapana Journal of Sciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pickling; Effluent; Hydrochloric acid; Waste management; Pulp and paper industry; Environmental science; Chemistry; Materials science; Engineering; Metallurgy","score_opus":0.05353301467089186,"score_gpt":0.26520365000015006,"score_spread":0.2116706353292582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2194482846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9229522,0.0035936926,0.04286248,0.00063711085,0.0002004288,0.0008118256,0.001039865,0.0004402175,0.027462231],"genre_scores_gemma":[0.8753614,0.0035953715,0.069126196,0.00048100538,0.00005368774,0.00036440667,0.0011174151,0.00016702045,0.049733628],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99904674,0.00011529141,0.0000621184,0.00013264228,0.0005354939,0.00010763295],"domain_scores_gemma":[0.9996704,0.00007052984,0.000071751005,0.00002923128,0.00013829618,0.000019906609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045958202,0.00040007374,0.0007261747,0.00094877044,0.0010934164,0.001565431,0.00050605024,0.0008584465,0.0038964213],"category_scores_gemma":[0.0004034931,0.00016551968,0.00072479196,0.0010013736,0.0004321589,0.0005414601,0.0004991162,0.0008288559,0.0019927504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037623444,0.00054307136,0.010836802,0.0024562047,0.000047008765,0.0035897428,0.0013809723,0.002034422,0.8722531,0.0012102304,0.0026821967,0.10259007],"study_design_scores_gemma":[0.000021011085,0.0013929515,0.02204096,0.00017426355,0.00007225327,0.0025725355,0.0022308745,0.002097534,0.9182283,0.00061023067,0.05050224,0.000056826048],"about_ca_topic_score_codex":0.0015058067,"about_ca_topic_score_gemma":0.005225095,"teacher_disagreement_score":0.0038964213,"about_ca_system_score_codex":0.0005181155,"about_ca_system_score_gemma":0.0006802891,"threshold_uncertainty_score":0.013034821},"labels":[],"label_agreement":null},{"id":"W2199215321","doi":"","title":"Poly-stream Comminution Circuits","year":2015,"lang":"en","type":"article","venue":"Chalmers Publication Library (Chalmers University of Technology)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Comminution; Electronic circuit; Context (archaeology); Mindset; Process engineering; Computer science; Engineering; Materials science; Electrical engineering; Metallurgy; Geology; Artificial intelligence","score_opus":0.01614507086733541,"score_gpt":0.1799742275914677,"score_spread":0.16382915672413229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2199215321","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07288761,0.003035218,0.48106685,0.0014182933,0.0010748279,0.00073361304,0.0022864067,0.005652328,0.43184477],"genre_scores_gemma":[0.5504993,0.0025309927,0.15576206,0.0007776933,0.00028032088,0.00043803276,0.0019368548,0.00059562677,0.28717908],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999456,0.000032674696,0.000024420506,0.00013609575,0.00026630049,0.00008457763],"domain_scores_gemma":[0.9995627,0.00007375332,0.00006519318,0.00009538056,0.00017580282,0.000027270127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019166472,0.000498654,0.00021297668,0.0005924123,0.00063567545,0.0018235052,0.0012534879,0.0009441998,0.046912283],"category_scores_gemma":[0.00068940024,0.00017411748,0.00026831063,0.001135623,0.0006533229,0.0025887783,0.00092776504,0.00059545756,0.008395374],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058221264,0.00021164866,0.0031468384,0.0013103607,0.000026798589,0.0017935198,0.0005336929,0.011229012,0.08937032,0.3675225,0.057145514,0.4671276],"study_design_scores_gemma":[0.00003815699,0.00044454314,0.0018999486,0.00016631056,0.000036080077,0.0022526514,0.00021690325,0.0361692,0.110359915,0.028117351,0.8202611,0.000037864636],"about_ca_topic_score_codex":0.0012315284,"about_ca_topic_score_gemma":0.0021933957,"teacher_disagreement_score":0.046912283,"about_ca_system_score_codex":0.0009951247,"about_ca_system_score_gemma":0.0004853159,"threshold_uncertainty_score":0.15693724},"labels":[],"label_agreement":null},{"id":"W2215637877","doi":"10.1109/secon.1990.117892","title":"The effect of vibration on the tactile sensing of geological environments","year":2002,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Research Councils UK","keywords":"Vibration; Frame (networking); Computer science; Feature (linguistics); Artificial intelligence; Computer vision; Geology; Acoustics; Mechanical engineering; Engineering; Physics; Telecommunications","score_opus":0.009704342440423366,"score_gpt":0.18186932490318405,"score_spread":0.17216498246276069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2215637877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49155998,0.017193263,0.47030294,0.0006511471,0.00032603292,0.000050247167,0.00012531657,0.00079723436,0.018993761],"genre_scores_gemma":[0.94133615,0.004459294,0.050632376,0.00012123393,0.00010902414,0.000014884301,0.0000419567,0.000044481258,0.0032405613],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998091,0.000043759468,0.000006114819,0.000024554374,0.00009954153,0.000017076614],"domain_scores_gemma":[0.99902487,0.0008303706,0.000036733803,0.000041316332,0.000049259022,0.000017496572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027216837,0.00015802824,0.00017910257,0.00026735917,0.00013324036,0.000467257,0.00022533168,0.00042324298,0.0015137539],"category_scores_gemma":[0.0015560521,0.00015330213,0.00015386344,0.00023069448,0.00052373175,0.00042106,0.0003064411,0.0001992935,0.00028098063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028636729,0.000017575076,0.0021529451,0.00070180703,0.000040695508,0.0010638131,0.0003603607,0.021545164,0.6587027,0.0055378014,0.0012606514,0.30833012],"study_design_scores_gemma":[0.000061479346,0.0021925236,0.053141616,0.00029595144,0.0001736515,0.012025108,0.0005335846,0.23382847,0.6325833,0.018191958,0.04672973,0.00024254502],"about_ca_topic_score_codex":0.00022116426,"about_ca_topic_score_gemma":0.0002949529,"teacher_disagreement_score":0.0015137539,"about_ca_system_score_codex":0.00013407912,"about_ca_system_score_gemma":0.0000774976,"threshold_uncertainty_score":0.0050640106},"labels":[],"label_agreement":null},{"id":"W2234266814","doi":"10.1016/j.mineng.2015.10.022","title":"Size-by-size analysis of dry gravity separation using a 3-in. Knelson Concentrator","year":2015,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Concentrator; Gravity separation; Central composite design; Gold ore; Volume (thermodynamics); Specific gravity; Quartz; Materials science; Particle size; Grain size; Gangue; Environmental science; Response surface methodology; Pulp and paper industry; Mineralogy; Chemistry; Metallurgy; Composite material; Engineering; Chromatography; Chemical engineering; Physics; Electrical engineering","score_opus":0.018477088206009278,"score_gpt":0.2613283543309461,"score_spread":0.24285126612493682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2234266814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9159999,0.0025972216,0.0645329,0.0003951464,0.0002670845,0.0002484262,0.0018761202,0.001921716,0.012161492],"genre_scores_gemma":[0.93022037,0.0021594777,0.0530497,0.0004920564,0.00013661699,0.0002568773,0.0028324185,0.0006059524,0.010246509],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993598,0.00005006278,0.000043565455,0.00012778737,0.00029427008,0.0001244601],"domain_scores_gemma":[0.9989968,0.00032228944,0.00007975047,0.00006975064,0.00046519173,0.00006626772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008607592,0.0005596221,0.00048459516,0.0019440195,0.000951663,0.00045810893,0.0009523569,0.0006011537,0.0026898177],"category_scores_gemma":[0.0010191775,0.00022975061,0.00046317102,0.0009160985,0.0005266891,0.00047604824,0.0004560817,0.0006444879,0.0011106615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012042956,0.000042674474,0.0012356432,0.0000375511,0.000016501044,0.000036756974,0.00007157358,0.000097449854,0.9918888,0.00015233325,0.00039512516,0.005905198],"study_design_scores_gemma":[0.000011611173,0.00016656212,0.017002752,0.000008483937,0.000037991085,0.00018555974,0.00009526252,0.003774456,0.9755976,0.00011053249,0.0029875482,0.00002152899],"about_ca_topic_score_codex":0.0054958877,"about_ca_topic_score_gemma":0.007933733,"teacher_disagreement_score":0.0054958877,"about_ca_system_score_codex":0.00046159115,"about_ca_system_score_gemma":0.00067327236,"threshold_uncertainty_score":0.010927796},"labels":[],"label_agreement":null},{"id":"W2261644533","doi":"10.1002/cjce.22405","title":"Fault detection and diagnosis of an industrial copper electrowinning process","year":2015,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Vale (Canada); Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrowinning; Fault detection and isolation; Fault (geology); Process (computing); Computer science; Copper; Principal component analysis; Reliability engineering; Process engineering; Engineering; Metallurgy; Materials science; Artificial intelligence; Chemistry; Actuator","score_opus":0.019065020606331518,"score_gpt":0.21144314466873007,"score_spread":0.19237812406239854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2261644533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7333289,0.00017493137,0.2641512,0.00016188477,0.000034578075,0.00006979716,0.00008800742,0.00088042597,0.001110243],"genre_scores_gemma":[0.9807328,0.000036796697,0.018938418,0.0000061794035,0.000002871331,0.000010697936,0.000046285146,0.000005953083,0.00021989387],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995819,0.0000609813,0.00002979955,0.00008743686,0.00018934785,0.000050590286],"domain_scores_gemma":[0.99948573,0.00022223078,0.00007924253,0.000030162382,0.00016338131,0.000019301253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004896827,0.00048621534,0.00046319002,0.0010873718,0.0003325342,0.0004856678,0.0003265463,0.00043925212,0.00048506891],"category_scores_gemma":[0.0018257987,0.00017863407,0.00031858432,0.0005720709,0.00034810277,0.00027184212,0.00027136333,0.0003555169,0.00007478202],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015010273,0.00039688087,0.042395532,0.00028971868,0.00015505467,0.0016000769,0.00051175634,0.31581897,0.22621968,0.0026262177,0.0011544293,0.40733072],"study_design_scores_gemma":[0.000021518683,0.00012355897,0.013239671,0.000004775793,0.000020815092,0.00015622714,0.000048417918,0.9570946,0.028488025,0.00050011807,0.0002886093,0.000013648841],"about_ca_topic_score_codex":0.009086364,"about_ca_topic_score_gemma":0.0034322958,"teacher_disagreement_score":0.009086364,"about_ca_system_score_codex":0.00050377956,"about_ca_system_score_gemma":0.00077789434,"threshold_uncertainty_score":0.018066943},"labels":[],"label_agreement":null},{"id":"W2273731610","doi":"10.2495/mc070181","title":"3D strain mapping inside materials by microstructural tracking in tomographic volumes","year":2007,"lang":"en","type":"article","venue":"WIT transactions on engineering sciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Japan Society for the Promotion of Science; Light Metal Educational Foundation; Tatematsu Foundation","keywords":"Tracking (education); Materials science; Deformation (meteorology); Displacement (psychology); Synchrotron radiation; Fracture (geology); Digital image correlation; Synchrotron; Tomography; Scale (ratio); Composite material; Optics; Physics","score_opus":0.010906528768089053,"score_gpt":0.221746394610269,"score_spread":0.21083986584217992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2273731610","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3010664,0.0002493093,0.6954188,0.00005524747,0.000014832859,0.000046583147,0.0002837994,0.0011882567,0.0016768782],"genre_scores_gemma":[0.67431813,0.00030140879,0.3238539,0.000014367495,0.000008828163,0.00006639896,0.0003241298,0.00022240434,0.000890422],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998373,0.00002049019,0.000009312714,0.00004029472,0.000078258985,0.000014360333],"domain_scores_gemma":[0.9996183,0.0001800777,0.0000702354,0.00007749507,0.000041402425,0.000012551568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002461326,0.00024723218,0.00022050246,0.0007539604,0.00014160296,0.00068014424,0.00033160346,0.00032979317,0.0007450336],"category_scores_gemma":[0.0007331888,0.000285959,0.0001891389,0.0007120778,0.0003720378,0.000544337,0.00039408094,0.00037309623,0.00024413643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014568956,0.000034748256,0.0029804672,0.00014497632,0.000020765601,0.000117467665,0.00029667642,0.042374857,0.8324069,0.004074639,0.00027151892,0.11713133],"study_design_scores_gemma":[0.000012351873,0.00008000209,0.016012002,0.000019331192,0.000022347782,0.0005341332,0.0000933845,0.35627186,0.62016475,0.002789976,0.0039494345,0.000050360017],"about_ca_topic_score_codex":0.00080540066,"about_ca_topic_score_gemma":0.0011769807,"teacher_disagreement_score":0.00080540066,"about_ca_system_score_codex":0.00026119928,"about_ca_system_score_gemma":0.00025806742,"threshold_uncertainty_score":0.0024923682},"labels":[],"label_agreement":null},{"id":"W2275410258","doi":"10.1002/cjce.22421","title":"Energy and paper recycling: Modelling the time and energy requirements for low consistency batch repulping","year":2015,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Turbulence; Mechanics; Baffle; Rotor (electric); Dissipation; Suspension (topology); Materials science; Engineering; Mathematics; Mechanical engineering; Physics; Thermodynamics","score_opus":0.022507715718117865,"score_gpt":0.19725645453451077,"score_spread":0.1747487388163929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2275410258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86400896,0.00019115841,0.123662874,0.00020443686,0.000019553983,0.00008950165,0.00046858675,0.0003322196,0.011022764],"genre_scores_gemma":[0.9890015,0.00007714215,0.0057678972,0.00001716602,0.0000026166356,0.00008151511,0.00013023718,0.000048973452,0.004872938],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998591,0.00003026694,0.000007156236,0.000032611093,0.000032280903,0.00003860715],"domain_scores_gemma":[0.9995653,0.0003022112,0.000049436494,0.000024012106,0.000041036936,0.000017990618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043331351,0.000545095,0.00062885234,0.00045655607,0.00036781444,0.0009771023,0.0010541058,0.0015146702,0.0036054081],"category_scores_gemma":[0.0012088876,0.00055777724,0.0010524116,0.000506173,0.00043315286,0.0007072216,0.0003027733,0.00058750855,0.00056987966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033361248,0.000025128462,0.00037034063,0.000014655806,0.000003495607,0.000031743002,0.0000094495035,0.9959318,0.0019233926,0.00038281977,0.000049488357,0.0012243849],"study_design_scores_gemma":[0.0000047301464,0.000020989228,0.00022992448,0.0000014615208,0.000003014022,0.0000055577843,0.000006075633,0.99867564,0.0008098167,0.00015592524,0.000082855506,0.0000038981807],"about_ca_topic_score_codex":0.017103931,"about_ca_topic_score_gemma":0.007858587,"teacher_disagreement_score":0.017103931,"about_ca_system_score_codex":0.0015316767,"about_ca_system_score_gemma":0.00092200533,"threshold_uncertainty_score":0.03400874},"labels":[],"label_agreement":null},{"id":"W2280242739","doi":"","title":"A structured approach to the evaluation of the energy requirements of HPGR and SAG mill circuits in hard ore applications","year":2010,"lang":"en","type":"article","venue":"Journal of the Southern African Institute of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mill; Electronic circuit; Metallurgy; Energy requirement; Engineering; Mining engineering; Materials science; Mechanical engineering; Electrical engineering; Mathematics","score_opus":0.034683825643227806,"score_gpt":0.2467626073856907,"score_spread":0.2120787817424629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280242739","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12129888,0.0001573414,0.8445792,0.00018337936,0.000029020888,0.0009953186,0.0010045194,0.00057246326,0.03117986],"genre_scores_gemma":[0.54180497,0.00026401182,0.44311753,0.0001318744,0.00002316571,0.0010372825,0.0012852277,0.0001741026,0.012161746],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988644,0.00035321538,0.00003835512,0.00009079804,0.00056511204,0.00008815433],"domain_scores_gemma":[0.9987721,0.00051785196,0.00009968905,0.000111076246,0.00046822324,0.000031014246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096586224,0.00074959034,0.00051764137,0.001848081,0.0005360543,0.0015322187,0.0010966428,0.000898994,0.0057088486],"category_scores_gemma":[0.0026348436,0.00037202612,0.0010352086,0.0010928524,0.0006559592,0.0009121083,0.0008656857,0.00069713395,0.0009545375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003742343,0.00076628925,0.0046993224,0.0004870025,0.00011720681,0.00042110495,0.000474106,0.72039485,0.06707761,0.05379472,0.0026373984,0.14875615],"study_design_scores_gemma":[0.00005495868,0.0007990209,0.003656582,0.00006149706,0.00004702291,0.00014062635,0.0007080287,0.9370175,0.025789613,0.026319701,0.005364092,0.000041335432],"about_ca_topic_score_codex":0.0037947835,"about_ca_topic_score_gemma":0.0070579983,"teacher_disagreement_score":0.0057088486,"about_ca_system_score_codex":0.001323693,"about_ca_system_score_gemma":0.0017308046,"threshold_uncertainty_score":0.019097984},"labels":[],"label_agreement":null},{"id":"W2288645508","doi":"10.1007/978-3-319-18663-4_14","title":"Metallurgical Variable Re-expression for Geostatistics","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Geostatistics; Kriging; Variable (mathematics); Nonlinear system; Expression (computer science); Transformation (genetics); Variables; Estimation; Computer science; Industrial engineering; Data mining; Engineering; Mathematics; Statistics; Spatial variability; Machine learning; Chemistry; Systems engineering","score_opus":0.052798836326585365,"score_gpt":0.25755245936661075,"score_spread":0.2047536230400254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288645508","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034679638,0.001667535,0.9890709,0.00031223672,0.00051484344,0.000011899329,0.00027765587,0.0017947749,0.006003338],"genre_scores_gemma":[0.014977463,0.0039772918,0.9083039,0.0005374006,0.0011853301,0.0001165977,0.0014963227,0.005284333,0.06412145],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99877244,0.00032416193,0.00009927052,0.00024561488,0.0005176083,0.000040891802],"domain_scores_gemma":[0.99813277,0.00092161883,0.000068233625,0.0004639316,0.00039115234,0.000022443797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014873312,0.0015746234,0.0010606615,0.0008123651,0.00039766604,0.001776959,0.0017336576,0.001011656,0.022094192],"category_scores_gemma":[0.005704855,0.0007044962,0.0011613369,0.0015576999,0.0010692287,0.0023237108,0.0013233324,0.0030312282,0.019975768],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038643393,0.000029240255,0.00027957754,0.00047314807,0.0000748871,0.00014615568,0.00016043751,0.023123808,0.0071547823,0.27943748,0.110653944,0.5784279],"study_design_scores_gemma":[0.00001278797,0.000026953734,0.00043108047,0.00016095678,0.000059330207,0.00046162697,0.0000602935,0.16294485,0.015560735,0.36916104,0.45104897,0.000071387294],"about_ca_topic_score_codex":0.001723485,"about_ca_topic_score_gemma":0.0033734865,"teacher_disagreement_score":0.022094192,"about_ca_system_score_codex":0.0007426268,"about_ca_system_score_gemma":0.00062644127,"threshold_uncertainty_score":0.07391244},"labels":[],"label_agreement":null},{"id":"W2290566313","doi":"10.14288/1.0052350","title":"Comparison of data classification procedures in applied geochemistry using Monte Carlo simulation","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Monte Carlo method; Computer science; Geology; Data mining; Statistics; Mathematics","score_opus":0.03854235942687588,"score_gpt":0.25337947959780915,"score_spread":0.21483712017093326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290566313","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46012437,0.00119633,0.5282006,0.0008070477,0.0001240207,0.0011262534,0.0004423537,0.0015422655,0.0064367056],"genre_scores_gemma":[0.74673146,0.00051371864,0.25049156,0.00014421377,0.000023236464,0.0010026743,0.00044740175,0.00015071733,0.00049498165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9903273,0.006898371,0.0005136346,0.00050002546,0.0015099223,0.00025066474],"domain_scores_gemma":[0.8551638,0.13178205,0.0023531562,0.004714043,0.0055626906,0.00042434075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020766517,0.0007160488,0.0011999443,0.0023769194,0.00085931766,0.0014485961,0.0014332299,0.0015418438,0.0011719436],"category_scores_gemma":[0.06752845,0.0005400682,0.0010747885,0.0022945877,0.00090083195,0.0013312838,0.0008298671,0.0014852626,0.00020177398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008153642,0.00031445,0.008746022,0.00020781855,0.00021425557,0.000046670986,0.00024275787,0.9190375,0.0009264879,0.01224507,0.00061769487,0.056585867],"study_design_scores_gemma":[0.000036800142,0.0000868447,0.0014858305,0.000021153515,0.00001758072,0.000016397944,0.000038730053,0.9946679,0.00083630515,0.0023863148,0.00038546624,0.000020691477],"about_ca_topic_score_codex":0.012839133,"about_ca_topic_score_gemma":0.009091186,"teacher_disagreement_score":0.020766517,"about_ca_system_score_codex":0.0026817776,"about_ca_system_score_gemma":0.002330509,"threshold_uncertainty_score":0.109825134},"labels":[],"label_agreement":null},{"id":"W2290824782","doi":"10.14288/1.0058980","title":"Electrostatic charging in gas-solid fluidized beds","year":2009,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Materials science","score_opus":0.00498395818386743,"score_gpt":0.170340143473956,"score_spread":0.16535618529008858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290824782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96123165,0.0004736218,0.03676146,0.00009363123,0.0000378513,0.00006184063,0.00007867805,0.00014716387,0.0011141503],"genre_scores_gemma":[0.99619436,0.0001712751,0.0029773032,0.000020054713,0.0000054984826,0.000024127012,0.000055029024,0.0000038732505,0.00054850336],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99973685,0.00005660052,0.000012842474,0.000042225955,0.00011353734,0.00003792557],"domain_scores_gemma":[0.9998355,0.00006977299,0.000025679632,0.0000102494005,0.00003918564,0.000019620595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000235254,0.00046715967,0.00058879756,0.00028581236,0.00036443438,0.00047230916,0.0005751843,0.0005977226,0.00042961535],"category_scores_gemma":[0.0005747596,0.00028476896,0.00041519167,0.00014455605,0.00047422593,0.0005953188,0.00045717537,0.00026352008,0.00012999488],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031125592,0.00012481498,0.003221135,0.00032187795,0.00004561766,0.0006714347,0.00010466542,0.19775823,0.784237,0.002891907,0.00015517735,0.010156918],"study_design_scores_gemma":[0.00008643178,0.00034077276,0.0035418544,0.000009276955,0.000023706893,0.00021283508,0.00005961333,0.7132837,0.28036126,0.0011899997,0.00085293513,0.00003754946],"about_ca_topic_score_codex":0.0038211748,"about_ca_topic_score_gemma":0.0016538516,"teacher_disagreement_score":0.0038211748,"about_ca_system_score_codex":0.00089389266,"about_ca_system_score_gemma":0.00043030412,"threshold_uncertainty_score":0.0075978637},"labels":[],"label_agreement":null},{"id":"W2290825297","doi":"","title":"The future of automated drill core logging: Charcaterizating kimberlite dilution by chrustal material at the Snap Lake diamond mine (NT, Canada) using SWIR (1.90-2.36 µm) and LWIR (8.1-11.1 µM) hyperspectral imagery","year":2014,"lang":"en","type":"article","venue":"elib (German Aerospace Center)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Kimberlite; Geology; Diamond; Mineralogy; Dilution; Remote sensing; Geochemistry; Materials science; Mantle (geology); Composite material","score_opus":0.005103670368870539,"score_gpt":0.20552114502619526,"score_spread":0.2004174746573247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290825297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72919387,0.018832268,0.18260287,0.010575461,0.00036729075,0.0006195854,0.008302793,0.0155395325,0.03396633],"genre_scores_gemma":[0.6820382,0.0029483577,0.3024104,0.000822511,0.00012307116,0.00015753086,0.003079251,0.000550866,0.007869813],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99926156,0.00014031043,0.000021352538,0.00015807271,0.000339302,0.00007947683],"domain_scores_gemma":[0.9971174,0.00039038996,0.00022815012,0.00026006185,0.0017366987,0.00026725218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002438458,0.0008163654,0.0005546631,0.001579406,0.0004572706,0.0020078907,0.0019089472,0.00085288275,0.0026234863],"category_scores_gemma":[0.0023379638,0.00035570777,0.00017647537,0.0013284532,0.0007949403,0.0017904242,0.0007918793,0.0007820969,0.0010957484],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048725307,0.0003039458,0.16217564,0.00048583557,0.00008788268,0.0000774155,0.0005620926,0.012046228,0.03583986,0.00086921634,0.013235694,0.77382886],"study_design_scores_gemma":[0.00025042065,0.00040068428,0.5714793,0.00045063763,0.0001298511,0.00025933975,0.0019626585,0.32056212,0.029988637,0.004258586,0.06998652,0.00027135012],"about_ca_topic_score_codex":0.1295362,"about_ca_topic_score_gemma":0.23851237,"teacher_disagreement_score":0.8704638,"about_ca_system_score_codex":0.0020992307,"about_ca_system_score_gemma":0.0037815878,"threshold_uncertainty_score":0.25756443},"labels":[],"label_agreement":null},{"id":"W2297446089","doi":"10.14288/1.0063222","title":"Removal of colour from secondary treated whole mill kraft effluent using dead aspergillus niger as a biosorbent","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aspergillus niger; Pulp and paper industry; Effluent; Mill; Kraft paper; Environmental science; Waste management; Chemistry; Geography; Food science; Engineering; Archaeology","score_opus":0.006522181406465126,"score_gpt":0.17209648315877218,"score_spread":0.16557430175230706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297446089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99615306,0.0004937744,0.0024604732,0.000028184091,0.000013093926,0.00003188916,0.00008858699,0.000033972647,0.00069692894],"genre_scores_gemma":[0.99169767,0.0007070536,0.0050211367,0.000036355323,0.0000055013525,0.000018551667,0.00012883451,0.000008272057,0.0023765618],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998332,0.000020347545,0.000018348495,0.000029776413,0.0000643694,0.000033847162],"domain_scores_gemma":[0.99992335,0.0000123734235,0.000020586227,0.000009246961,0.000020514184,0.0000139146005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017251645,0.00038319515,0.0003637423,0.00032763302,0.00015211685,0.00040618202,0.00027551752,0.0003364227,0.0003604479],"category_scores_gemma":[0.00011458134,0.00012513509,0.0004987797,0.00024435206,0.00014927653,0.0002513655,0.00027008593,0.00040391987,0.00020467272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029749077,0.00004672739,0.0001377068,0.000045985227,0.0000026209075,0.00003273747,0.000008986232,0.000096409254,0.9983543,0.000017819504,0.000007888805,0.0012191051],"study_design_scores_gemma":[0.0000037643993,0.00037949032,0.0015869102,0.000005805952,0.00000787183,0.0000742967,0.00002091063,0.0007713376,0.99683917,0.000012959322,0.0002925648,0.0000049422106],"about_ca_topic_score_codex":0.0013743691,"about_ca_topic_score_gemma":0.0021674156,"teacher_disagreement_score":0.0013743691,"about_ca_system_score_codex":0.0002264903,"about_ca_system_score_gemma":0.00022503946,"threshold_uncertainty_score":0.0027327538},"labels":[],"label_agreement":null},{"id":"W2299220866","doi":"10.14288/1.0081177","title":"High velocity impact fragmentation and the energy efficiency of comminution","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Comminution; Fragmentation (computing); Environmental science; Materials science; Computer science; Metallurgy","score_opus":0.007746605657383149,"score_gpt":0.16027264603196603,"score_spread":0.1525260403745829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2299220866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901126,0.0015898069,0.005336462,0.00006426657,0.000013662254,0.000024466368,0.00005555521,0.000034786193,0.002768375],"genre_scores_gemma":[0.9976706,0.0004367576,0.0008091615,0.000011192248,0.0000025588924,0.0000072196804,0.000054888595,0.00000503103,0.0010025577],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99959713,0.000023609156,0.000016194226,0.00005875767,0.00023385351,0.00007048882],"domain_scores_gemma":[0.9994357,0.00018870117,0.00017910666,0.00003428078,0.00013874889,0.000023444238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003577745,0.00023740747,0.00019006868,0.00055143225,0.00031615735,0.00060020626,0.0002968263,0.00043812513,0.001565771],"category_scores_gemma":[0.000712353,0.00015563991,0.00019816757,0.0004926374,0.00044430795,0.00053791644,0.00031260925,0.0003715427,0.0002110627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020435623,0.00008329389,0.02035438,0.00025913265,0.00003152357,0.00024581893,0.00019153181,0.0060105585,0.92927444,0.0017516753,0.00016241876,0.04143083],"study_design_scores_gemma":[0.000013033403,0.001222029,0.1783349,0.000046352892,0.00003194151,0.00066843117,0.00044439553,0.0121272495,0.80287176,0.0008806369,0.003321051,0.00003819633],"about_ca_topic_score_codex":0.0014177731,"about_ca_topic_score_gemma":0.0021156229,"teacher_disagreement_score":0.001565771,"about_ca_system_score_codex":0.00061133277,"about_ca_system_score_gemma":0.00021363074,"threshold_uncertainty_score":0.005238056},"labels":[],"label_agreement":null},{"id":"W2300192634","doi":"10.14288/1.0053102","title":"Minor elements in pyrites from the smithers map area, b.c. and exploration applications of minor element studies","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Minor (academic); Geology; Major and minor; Art; Humanities; Physics","score_opus":0.028705727384347426,"score_gpt":0.18923292352958004,"score_spread":0.16052719614523261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300192634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986298,0.00015529925,0.00011426809,0.000009878347,0.0000012831892,0.0000045263,0.00017223699,0.0000054582347,0.0009073002],"genre_scores_gemma":[0.9983152,0.00014863392,0.00041755362,0.0000054962284,0.0000037039902,0.0000041528124,0.00036761753,0.000002208137,0.0007353742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987745,0.000008536606,0.0000066194793,0.000045601424,0.000044246866,0.000017529148],"domain_scores_gemma":[0.99982375,0.000020892583,0.00005135834,0.0000079498905,0.00006784385,0.00002821641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010691438,0.00015049895,0.00010620472,0.00188452,0.0006969297,0.0003750469,0.000115112365,0.00012340858,0.00041643908],"category_scores_gemma":[0.00025302582,0.000112382964,0.000061583145,0.00083901733,0.000279084,0.00012558408,0.00018031351,0.00014006975,0.00011161285],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053804094,0.000060676004,0.7680224,0.00009481964,0.000042084466,0.00056821754,0.0016144199,0.00031697904,0.1896163,0.00024086672,0.00018272118,0.03870255],"study_design_scores_gemma":[0.0000028623845,0.00006360554,0.98756534,0.0000031434988,0.0000069016933,0.0002463575,0.00024117588,0.00025865264,0.01005096,0.000042439828,0.0015156354,0.0000028907668],"about_ca_topic_score_codex":0.03722175,"about_ca_topic_score_gemma":0.048678678,"teacher_disagreement_score":0.9627783,"about_ca_system_score_codex":0.00045450134,"about_ca_system_score_gemma":0.00037702514,"threshold_uncertainty_score":0.07401019},"labels":[],"label_agreement":null},{"id":"W2305251117","doi":"10.5962/bhl.title.114780","title":"Alberta IFN stream classification assessment project validation of the recommended method /","year":2004,"lang":"en","type":"book","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Environmental science","score_opus":0.03860452072044084,"score_gpt":0.3164373242584544,"score_spread":0.27783280353801354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305251117","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035214134,0.006146649,0.09785475,0.0046895957,0.00190233,0.0026437354,0.07672554,0.0066831415,0.7681401],"genre_scores_gemma":[0.08703719,0.0032841722,0.29899657,0.00088644994,0.00012948202,0.00073999015,0.0814368,0.0015131674,0.52597624],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9958831,0.00020908681,0.00012295999,0.00015431922,0.0034819334,0.00014861186],"domain_scores_gemma":[0.9927174,0.00030878978,0.00015006975,0.0002214497,0.006458589,0.00014372717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036293748,0.0007135209,0.0003537175,0.00453431,0.001207935,0.00256952,0.0021540944,0.0006918108,0.017772188],"category_scores_gemma":[0.00422616,0.00038024777,0.00030691738,0.004218371,0.00062779506,0.00061306363,0.0004713433,0.0008111065,0.0065806475],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010428075,0.0001179441,0.008432567,0.00025712026,0.000011061806,0.00009303384,0.00020836426,0.0038951153,0.0031776105,0.0075702453,0.5692874,0.40684524],"study_design_scores_gemma":[0.00006362789,0.00009449179,0.04955239,0.0005093147,0.000042394935,0.00023438275,0.00043586062,0.010894375,0.0076644775,0.002650256,0.927778,0.00008043304],"about_ca_topic_score_codex":0.879681,"about_ca_topic_score_gemma":0.9364175,"teacher_disagreement_score":0.879681,"about_ca_system_score_codex":0.021620417,"about_ca_system_score_gemma":0.039015636,"threshold_uncertainty_score":0.24205512},"labels":[],"label_agreement":null},{"id":"W231399074","doi":"","title":"Automatización inteligente en trituración y clasificación.","year":2014,"lang":"es","type":"article","venue":"Ingeopres: Actualidad técnica de ingeniería civil, minería, geología y medio ambiente","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.006199282264532048,"score_gpt":0.2394596127687221,"score_spread":0.23326033050419007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W231399074","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16093877,0.0056669153,0.7899424,0.00096954626,0.00044830036,0.00066642003,0.0014531887,0.011868348,0.02804621],"genre_scores_gemma":[0.37980545,0.0031534196,0.5766312,0.0003941759,0.00006522643,0.00039429188,0.0023712672,0.0010528698,0.036132142],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983027,0.00015368953,0.00008340573,0.0005212133,0.00075273553,0.00018626198],"domain_scores_gemma":[0.9987814,0.00032254704,0.00013807109,0.0002463081,0.00045911674,0.00005258551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021223046,0.001039571,0.0005974034,0.0012223056,0.00063335086,0.0016691191,0.0012176406,0.0010413126,0.0067086243],"category_scores_gemma":[0.0022347164,0.00073716475,0.0007690841,0.00093940354,0.0006539667,0.0011976435,0.0016113443,0.0009555207,0.0045357263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031171466,0.00019786568,0.0025664924,0.0005829041,0.000052265816,0.00017314953,0.00046114635,0.0072722416,0.5706187,0.0020075052,0.0040317182,0.41172442],"study_design_scores_gemma":[0.00004590242,0.00062063907,0.0070946333,0.00011471158,0.00010291695,0.00059166923,0.0004075286,0.056384392,0.8279112,0.00268849,0.103962384,0.00007558588],"about_ca_topic_score_codex":0.0063780774,"about_ca_topic_score_gemma":0.00905218,"teacher_disagreement_score":0.0067086243,"about_ca_system_score_codex":0.0007859595,"about_ca_system_score_gemma":0.0015004999,"threshold_uncertainty_score":0.02244258},"labels":[],"label_agreement":null},{"id":"W2317527187","doi":"10.3997/2214-4609-pdb.179.01103-1112","title":"Grade Estimation At Cvrd Inco’S Canadian Sulphide Mines","year":2007,"lang":"en","type":"article","venue":"20th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Vale (Canada)","funders":"","keywords":"Pyrrhotite; Electrical resistivity and conductivity; Conductivity; Eddy current; Materials science; Mineralogy; Metallurgy; Analytical Chemistry (journal); Environmental science; Geology; Chemistry; Electrical engineering; Environmental chemistry; Pyrite; Engineering","score_opus":0.0047132584894756776,"score_gpt":0.17438504036271793,"score_spread":0.16967178187324225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317527187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8492881,0.0036919315,0.029997122,0.0015558909,0.0001081207,0.0007647781,0.01534207,0.0026267946,0.096625276],"genre_scores_gemma":[0.8909236,0.002175347,0.039030235,0.00018278138,0.000037725185,0.0000892391,0.00645121,0.0003846241,0.06072518],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9970866,0.00008102097,0.000075031254,0.0002392009,0.002307891,0.00021029916],"domain_scores_gemma":[0.9973876,0.00009893039,0.00018103204,0.0000621714,0.0020937321,0.00017639797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009859364,0.00071140827,0.0004152568,0.006048219,0.0022995065,0.001147048,0.00140835,0.00051843765,0.00303242],"category_scores_gemma":[0.0017455244,0.0002971182,0.00032452992,0.0037373197,0.00050732284,0.00044574923,0.0008215659,0.0004106506,0.0007871512],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062846957,0.00016713545,0.32656854,0.0005320999,0.00013561633,0.0013006051,0.003657448,0.014104914,0.060306862,0.0026055067,0.027283493,0.5627093],"study_design_scores_gemma":[0.00004101702,0.0002754153,0.75292003,0.00014633616,0.0000826097,0.00059231225,0.0025756208,0.017236268,0.06950317,0.0006036217,0.155818,0.00020562466],"about_ca_topic_score_codex":0.92670566,"about_ca_topic_score_gemma":0.97350377,"teacher_disagreement_score":0.07329434,"about_ca_system_score_codex":0.01720802,"about_ca_system_score_gemma":0.015098594,"threshold_uncertainty_score":0.14745194},"labels":[],"label_agreement":null},{"id":"W2317632964","doi":"10.1190/segam2014-0190.1","title":"Clustering of down-hole physical properties measurement to characterize rock units at the Victoria Cu-Ni property","year":2014,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Cluster analysis; Property (philosophy); Physical property; Computer science; Materials science; Geology; Composite material; Artificial intelligence","score_opus":0.0451375822817568,"score_gpt":0.2088982895944795,"score_spread":0.16376070731272271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317632964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98424745,0.0000432379,0.012717407,0.00001661405,0.0000046028763,0.000089594854,0.0005780405,0.00015561392,0.0021475262],"genre_scores_gemma":[0.989655,0.000022182146,0.007832414,0.000004019478,0.0000011003597,0.00003587965,0.0008506076,0.000017432498,0.0015813455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948186,0.000030082261,0.000035864927,0.000113722694,0.00023900432,0.00009952613],"domain_scores_gemma":[0.99876165,0.00010225127,0.00012732162,0.0001426356,0.0007862995,0.00007996746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023803551,0.00037421347,0.0003827065,0.0025508273,0.0005090153,0.0006193373,0.00054679165,0.00028840097,0.001093807],"category_scores_gemma":[0.0015098706,0.00018903828,0.00023122056,0.0019318112,0.00031657482,0.00028646545,0.00047116424,0.00023444364,0.00042480484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009715684,0.00020165817,0.50705016,0.00036609377,0.00010543912,0.0009206616,0.0034430427,0.031845056,0.24605057,0.0009220947,0.002120495,0.2060032],"study_design_scores_gemma":[0.000008727086,0.00016014453,0.8528052,0.000023074304,0.000046742698,0.00018820877,0.0023474786,0.089034036,0.051525146,0.00035040342,0.0034539858,0.000056844343],"about_ca_topic_score_codex":0.06337574,"about_ca_topic_score_gemma":0.08593033,"teacher_disagreement_score":0.06337574,"about_ca_system_score_codex":0.0007447688,"about_ca_system_score_gemma":0.00082530867,"threshold_uncertainty_score":0.1260137},"labels":[],"label_agreement":null},{"id":"W2318418532","doi":"10.4133/1.4721841","title":"Characterization of Waste Density and Settlement via Micro gravity","year":2012,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2012","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Characterization (materials science); Settlement (finance); Environmental science; Computer science; Materials science; Nanotechnology; World Wide Web","score_opus":0.00378993542361856,"score_gpt":0.16271486485201386,"score_spread":0.1589249294283953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318418532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953694,0.000058865004,0.0032974645,0.000013138038,0.0000023678,0.000014982264,0.00037895585,0.00009129779,0.0007734132],"genre_scores_gemma":[0.99478924,0.00009145392,0.004012297,0.000010565017,0.0000033642527,0.000014677588,0.00044908217,0.00001451182,0.00061483437],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984336,0.000008518238,0.000005645777,0.000024887635,0.00007743856,0.00004009158],"domain_scores_gemma":[0.99988604,0.000016108817,0.000024273371,0.0000074269747,0.00004814601,0.000017909262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012234399,0.00022519335,0.00020736127,0.0016022193,0.00032894724,0.00038286197,0.0002634437,0.00022205614,0.0008722068],"category_scores_gemma":[0.00020521636,0.00015256963,0.0001956413,0.0010333286,0.0002996352,0.00020252742,0.0003111437,0.00018777324,0.00027021344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016853446,0.000043649212,0.17227365,0.00006321627,0.000024509145,0.00019845038,0.0010133031,0.0022913388,0.79666567,0.00023580456,0.00046059716,0.026561344],"study_design_scores_gemma":[0.000012028859,0.00022478172,0.7956011,0.0000112984935,0.000030076319,0.000472667,0.0013180423,0.014131397,0.185583,0.000110232846,0.0024701043,0.0000353],"about_ca_topic_score_codex":0.01582448,"about_ca_topic_score_gemma":0.036927834,"teacher_disagreement_score":0.01582448,"about_ca_system_score_codex":0.00031480688,"about_ca_system_score_gemma":0.0002765721,"threshold_uncertainty_score":0.031464696},"labels":[],"label_agreement":null},{"id":"W2318629621","doi":"10.3182/20070821-3-ca-2919.00007","title":"MULTI-LEVEL DATA RECONCILIATION APPLICATION TO A GOLD ORE PROCESSING PLANT","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Leaching (pedology); Slurry; Gold ore; Grinding; Mineral processing; Metallurgy; Context (archaeology); Particle size; Particle (ecology); Process engineering; Environmental science; Mineralogy; Materials science; Chemistry; Engineering; Chemical engineering; Geology; Environmental engineering; Soil science","score_opus":0.05851300375640988,"score_gpt":0.2804676368653645,"score_spread":0.22195463310895464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318629621","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15089874,0.00057781016,0.62286735,0.0013756868,0.00062984385,0.0004074648,0.0034501583,0.21200523,0.007787708],"genre_scores_gemma":[0.6185892,0.0001723333,0.36431575,0.00045321946,0.00012982065,0.00019598594,0.0046681734,0.0049703587,0.0065052113],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998776,0.00022358196,0.00011344141,0.00028574571,0.0005042839,0.00009699615],"domain_scores_gemma":[0.9972817,0.000690747,0.00014742563,0.001050069,0.0007264683,0.00010362148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017140132,0.0010737149,0.0011488551,0.0022658845,0.0016316854,0.0018963253,0.0016840718,0.0011859433,0.0060295486],"category_scores_gemma":[0.0037059672,0.0006882731,0.00088883634,0.0022520048,0.0004798819,0.0013229771,0.00175795,0.0009455803,0.001393219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019391316,0.00050134805,0.014992178,0.0005945839,0.00037093248,0.0023513222,0.00140786,0.08095218,0.07814302,0.0037388864,0.061368886,0.75363976],"study_design_scores_gemma":[0.00035021055,0.000371883,0.015050157,0.00006818551,0.00024753643,0.0008391501,0.00072920666,0.72675925,0.18367825,0.005063417,0.066666685,0.00017606409],"about_ca_topic_score_codex":0.005310104,"about_ca_topic_score_gemma":0.006591367,"teacher_disagreement_score":0.0060295486,"about_ca_system_score_codex":0.00080550235,"about_ca_system_score_gemma":0.0013115885,"threshold_uncertainty_score":0.020170867},"labels":[],"label_agreement":null},{"id":"W2321387476","doi":"10.1130/ges00639.1","title":"Introduction: Advances in 3D imaging and analysis of geomaterials","year":2010,"lang":"en","type":"article","venue":"Geosphere","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Geology; Geotechnical engineering","score_opus":0.0022050884009462385,"score_gpt":0.20347675749903146,"score_spread":0.20127166909808522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321387476","genre_codex":"methods","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062372503,0.30391142,0.4851794,0.025511915,0.024027834,0.0003725937,0.010499338,0.005452916,0.13880745],"genre_scores_gemma":[0.0733144,0.2980232,0.39565703,0.016830899,0.035126705,0.0004884698,0.011441933,0.0021423362,0.16697504],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99936634,0.000053314423,0.00002504482,0.00014174789,0.00038602113,0.000027646945],"domain_scores_gemma":[0.99882656,0.00043582945,0.000083025196,0.000099181176,0.00048486146,0.00007054487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068000454,0.00075342605,0.00041060188,0.0013454657,0.00056577264,0.0019889995,0.001564289,0.0020714821,0.046712037],"category_scores_gemma":[0.0016103971,0.0003785188,0.0003132492,0.0025371271,0.00078734406,0.00221548,0.0010013798,0.0014637253,0.021102477],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054611744,0.00003548026,0.00045438734,0.0022742508,0.000013837884,0.00015207882,0.00011385171,0.00244739,0.012824523,0.037696593,0.27360985,0.67032313],"study_design_scores_gemma":[0.0000039515735,0.00002042691,0.0006091163,0.0002846861,0.00000829607,0.00040888344,0.000038744653,0.0024661059,0.002479081,0.013555443,0.9800956,0.000029705197],"about_ca_topic_score_codex":0.0012082803,"about_ca_topic_score_gemma":0.0015334403,"teacher_disagreement_score":0.046712037,"about_ca_system_score_codex":0.0004112247,"about_ca_system_score_gemma":0.0005865451,"threshold_uncertainty_score":0.15626734},"labels":[],"label_agreement":null},{"id":"W2324821452","doi":"10.2118/170063-ms","title":"Investigation of Interburden Dilution on Oil Sand Processability","year":2014,"lang":"en","type":"article","venue":"SPE Heavy Oil Conference-Canada","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Total (Canada)","funders":"","keywords":"Tailings; Oil sands; Dilution; Asphalt; Overburden; Fraction (chemistry); Extraction (chemistry); Homogeneous; Geology; Materials science; Metallurgy; Mining engineering; Composite material; Chemistry; Chromatography","score_opus":0.020037216296166543,"score_gpt":0.20137132238365227,"score_spread":0.18133410608748574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2324821452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99842036,0.0002877786,0.00060208136,0.000012589327,0.0000073590977,0.000023514935,0.000115790936,0.000023504756,0.000507077],"genre_scores_gemma":[0.9972639,0.00027763422,0.0012650511,0.000021126361,0.0000041514745,0.000015668607,0.00014286627,0.000016585087,0.0009930683],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993754,0.00009426552,0.000059692607,0.0001121754,0.00027570588,0.000082822444],"domain_scores_gemma":[0.998904,0.00046594432,0.00018926454,0.0000738291,0.00030975317,0.000057288416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051141024,0.00035657338,0.00036264138,0.00038979683,0.00024151054,0.0003828662,0.0002915254,0.00030068198,0.0012513286],"category_scores_gemma":[0.0011956955,0.0001471224,0.0003289792,0.0004560259,0.00019566779,0.00034398667,0.00030048715,0.00049517944,0.00026507812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004964571,0.000135556,0.002578997,0.00007303705,0.000020822943,0.000065830114,0.0000674962,0.0005425438,0.9898874,0.000016331964,0.000028382063,0.0060871993],"study_design_scores_gemma":[0.000004508108,0.0008597859,0.011570656,0.000004215537,0.000024115223,0.000026806538,0.000049368664,0.00075863034,0.98630863,0.000006449855,0.0003797979,0.0000071491563],"about_ca_topic_score_codex":0.0035490135,"about_ca_topic_score_gemma":0.0055282474,"teacher_disagreement_score":0.99645096,"about_ca_system_score_codex":0.00034930022,"about_ca_system_score_gemma":0.0002096091,"threshold_uncertainty_score":0.007056713},"labels":[],"label_agreement":null},{"id":"W2330713198","doi":"10.1021/ie201258b","title":"Multivariate Analysis and Monitoring of the Performance of Aluminum Reduction Cells","year":2011,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alcoa (Canada); Centre de Recherche en Sciences Animales de Deschambault; Université Laval","funders":"Alcoa","keywords":"Multivariate statistics; Process (computing); Reduction (mathematics); Computer science; Process engineering; Raw material; Partial least squares regression; Latent variable; Smelting; Raw data; Multivariate analysis; Mathematics; Materials science; Engineering; Artificial intelligence; Metallurgy; Machine learning; Chemistry","score_opus":0.08383912478613037,"score_gpt":0.2898798032757115,"score_spread":0.20604067848958113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330713198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7097939,0.0001738432,0.28830728,0.000065712215,0.000007304233,0.00004229691,0.00045680115,0.00036215002,0.00079071044],"genre_scores_gemma":[0.9537563,0.0001238413,0.045140244,0.000011916727,0.000007729775,0.000036556303,0.00039294164,0.000021558782,0.00050895306],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995684,0.00014062723,0.000017113256,0.00009701849,0.00014731791,0.000029448158],"domain_scores_gemma":[0.99964726,0.00015403454,0.00006380947,0.000049943163,0.00007202337,0.000013063638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005717343,0.00031303932,0.0003757232,0.00065781595,0.0001653829,0.0003871584,0.00025713415,0.00023576755,0.00040955225],"category_scores_gemma":[0.0008622097,0.0000985878,0.00035406774,0.00068659725,0.00016188704,0.00029370195,0.00030863157,0.00032089674,0.00013262952],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043824027,0.0003960863,0.040801357,0.00015439812,0.00015223563,0.00011251765,0.000276579,0.069787525,0.6515073,0.0011857124,0.0004881623,0.23469995],"study_design_scores_gemma":[0.000021787859,0.0006257627,0.1023023,0.00000694089,0.000069229,0.0001966246,0.00017033816,0.59848297,0.2950909,0.0012986634,0.0016474737,0.00008696239],"about_ca_topic_score_codex":0.0009893365,"about_ca_topic_score_gemma":0.0011118159,"teacher_disagreement_score":0.0009893365,"about_ca_system_score_codex":0.00018666184,"about_ca_system_score_gemma":0.00018562992,"threshold_uncertainty_score":0.0030236244},"labels":[],"label_agreement":null},{"id":"W2333407321","doi":"10.1021/ie102316b","title":"Scale-up of a Pharmaceutical Roller Compaction Process Using a Joint-Y Partial Least Squares Model","year":2011,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ProSensus (Canada)","funders":"","keywords":"Ribbon; Partial least squares regression; Scale (ratio); Compaction; Process (computing); Computer science; Product (mathematics); Mathematics; Engineering; Statistics; Physics","score_opus":0.3955676946297456,"score_gpt":0.3936600288334425,"score_spread":0.0019076657963031374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333407321","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31647784,0.00019008343,0.6789267,0.00023919238,0.000024743169,0.00023628082,0.00026726624,0.0010004297,0.0026375162],"genre_scores_gemma":[0.8976405,0.00012674606,0.099501215,0.000048579757,0.00001007257,0.00020337812,0.00039179006,0.00006669679,0.0020109948],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994097,0.00020988187,0.00003323395,0.0001803558,0.00012155002,0.00004538689],"domain_scores_gemma":[0.99913067,0.0004832318,0.00013361008,0.000079220794,0.0001520154,0.000021225194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014448053,0.0007660464,0.0006299825,0.00042659242,0.00033471387,0.0010486096,0.0007727624,0.0007347937,0.0014281662],"category_scores_gemma":[0.002659583,0.000540836,0.0015536048,0.00065702066,0.0003710735,0.00093249825,0.00059937785,0.00090319896,0.00038602477],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001592558,0.000116775016,0.0031819344,0.00006952317,0.000084607134,0.00005005627,0.000062716594,0.95155877,0.0043013403,0.00085867953,0.00030457714,0.039251674],"study_design_scores_gemma":[0.0000089636105,0.00008423203,0.00095174485,0.0000014898587,0.000014021853,0.000004078642,0.000007971944,0.9973218,0.001219483,0.00022172257,0.00015744961,0.0000071051363],"about_ca_topic_score_codex":0.017896347,"about_ca_topic_score_gemma":0.010705383,"teacher_disagreement_score":0.017896347,"about_ca_system_score_codex":0.0006019862,"about_ca_system_score_gemma":0.0011559189,"threshold_uncertainty_score":0.03558439},"labels":[],"label_agreement":null},{"id":"W2339695833","doi":"10.1007/s00216-016-9413-3","title":"Solution to precision mixology challenge","year":2016,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Medical laboratory; Analytical Chemistry (journal); Biochemical engineering; Management science; Environmental chemistry; Engineering; Chemistry; Medicine","score_opus":0.013985473670363504,"score_gpt":0.23362125557350813,"score_spread":0.21963578190314462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339695833","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01663943,0.028123306,0.716102,0.16401236,0.011533036,0.00075356115,0.0023054814,0.0058860406,0.05464475],"genre_scores_gemma":[0.21145523,0.020041142,0.59944856,0.063477136,0.015954535,0.0014352914,0.0024100763,0.0036836222,0.08209437],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9576463,0.0056557166,0.0013068098,0.008975377,0.024999067,0.00141679],"domain_scores_gemma":[0.9417004,0.018164614,0.0024150338,0.013825513,0.022341227,0.0015531721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.033010244,0.0018977128,0.0033585522,0.004330429,0.0042027826,0.010199085,0.008570676,0.009800604,0.019858839],"category_scores_gemma":[0.053849827,0.0017727383,0.0017524359,0.0024069874,0.0082013,0.016320474,0.013934159,0.016394503,0.013975522],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075897883,0.0006124631,0.005714585,0.0026283106,0.00047297252,0.00074543117,0.0016665868,0.007390115,0.06784819,0.37698177,0.1307212,0.40445942],"study_design_scores_gemma":[0.000153385,0.0005243991,0.0015738892,0.0007040754,0.00011794615,0.0011022497,0.0012228517,0.013304369,0.058739576,0.36895922,0.5533712,0.00022679236],"about_ca_topic_score_codex":0.0029776078,"about_ca_topic_score_gemma":0.0032099292,"teacher_disagreement_score":0.033010244,"about_ca_system_score_codex":0.005241732,"about_ca_system_score_gemma":0.012282522,"threshold_uncertainty_score":0.17457694},"labels":[],"label_agreement":null},{"id":"W2342709750","doi":"10.14288/1.0103421","title":"DEM simulation and analysis of operating parameters on grinding performance of a vertical stirred media mill","year":2014,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mill; Grinding; Process engineering; Computer science; Environmental science; Engineering; Mechanical engineering","score_opus":0.010924428538880147,"score_gpt":0.18123753276512247,"score_spread":0.17031310422624232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342709750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776627,0.0002600579,0.014385997,0.00011722421,0.000028780774,0.000028071687,0.0005153008,0.0004109966,0.00659081],"genre_scores_gemma":[0.9966781,0.00008044179,0.0022125808,0.000009301074,0.0000017768025,0.000013688837,0.00018979557,0.00001414345,0.0008000742],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989843,0.000013248703,0.0000065380195,0.00001707446,0.00003680511,0.000027903996],"domain_scores_gemma":[0.99960893,0.00022681133,0.000041504307,0.000020534271,0.00008081918,0.000021492207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029388067,0.00046280157,0.00047632647,0.0004957998,0.00032976895,0.0004558683,0.0003816425,0.0007024542,0.0016526616],"category_scores_gemma":[0.00058143237,0.00020451803,0.00055853213,0.0004503931,0.00026514535,0.00030628924,0.00021311764,0.00035945367,0.00016424307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002792711,0.00009979575,0.006257479,0.00016796288,0.000018347659,0.00022206335,0.00010749399,0.9631309,0.020310603,0.00049334636,0.00043798794,0.008474803],"study_design_scores_gemma":[0.000012734867,0.0000779297,0.002294416,0.0000062362515,0.0000102051445,0.000016290332,0.000045580662,0.9901516,0.006973891,0.00011434578,0.00028694593,0.0000097690145],"about_ca_topic_score_codex":0.007924199,"about_ca_topic_score_gemma":0.0047420007,"teacher_disagreement_score":0.007924199,"about_ca_system_score_codex":0.00048478186,"about_ca_system_score_gemma":0.0003330733,"threshold_uncertainty_score":0.01575613},"labels":[],"label_agreement":null},{"id":"W2343316683","doi":"10.14288/1.0059742","title":"Application of chemical acoustic emission to industrial processes","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Acoustic emission; Environmental science; Acoustics; Physics","score_opus":0.007668824118060665,"score_gpt":0.17349287222948362,"score_spread":0.16582404811142296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343316683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85341275,0.010566537,0.11160158,0.0006393457,0.0001916333,0.0002478893,0.00015710632,0.000370168,0.022812977],"genre_scores_gemma":[0.96968746,0.0044955458,0.022921348,0.00010503714,0.00006312048,0.000042257427,0.00006798739,0.000020001375,0.002597376],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99939096,0.000074423195,0.00002076581,0.000088740446,0.0003697896,0.000055306882],"domain_scores_gemma":[0.99974114,0.00011720458,0.000024692918,0.00001966599,0.00008626215,0.000010981718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039224178,0.00033012818,0.00023263892,0.00046862572,0.00029485,0.00050983764,0.00048092921,0.0003880935,0.0012510045],"category_scores_gemma":[0.00077204435,0.00010976326,0.00023017335,0.00044206152,0.0004177769,0.0002991274,0.0005851101,0.00041114987,0.00018429593],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059916267,0.000040549607,0.0016152418,0.00031327928,0.00001169041,0.00009647772,0.00019203215,0.001763574,0.93323594,0.0008688168,0.000107541055,0.06169481],"study_design_scores_gemma":[0.000011214446,0.00031849806,0.0047563366,0.000027086564,0.000024330837,0.00019222798,0.00013634932,0.00764407,0.97511417,0.0004564559,0.011303304,0.000016071263],"about_ca_topic_score_codex":0.0024805323,"about_ca_topic_score_gemma":0.0020593638,"teacher_disagreement_score":0.0024805323,"about_ca_system_score_codex":0.000599537,"about_ca_system_score_gemma":0.00038676293,"threshold_uncertainty_score":0.004932165},"labels":[],"label_agreement":null},{"id":"W2343950308","doi":"10.1016/j.mineng.2016.04.014","title":"Multi component modelling of an air classifier","year":2016,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"First Quantum Minerals (Canada)","funders":"","keywords":"Classifier (UML); Coal; Airflow; Process engineering; Computer science; Environmental science; Engineering; Artificial intelligence; Mechanical engineering; Waste management","score_opus":0.03565962280903008,"score_gpt":0.21682372092943636,"score_spread":0.1811640981204063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343950308","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044073243,0.0004381713,0.9510225,0.00025924866,0.00021020562,0.00004481408,0.0001803223,0.0009621616,0.002809216],"genre_scores_gemma":[0.847941,0.0004358634,0.13435265,0.00012561222,0.00014258907,0.00011945003,0.0005206482,0.0002379713,0.016124152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969566,0.000071781025,0.000016947133,0.00008704461,0.00008615678,0.000042442625],"domain_scores_gemma":[0.9993819,0.0003193675,0.000028812785,0.00004444908,0.00020462474,0.000020760037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075525517,0.00069254864,0.0007040395,0.0006854215,0.00041277098,0.001261378,0.0008841741,0.0012198078,0.0024721834],"category_scores_gemma":[0.0015612548,0.00040903938,0.00079782243,0.0005913281,0.00036401564,0.0008309722,0.00054562156,0.0010209525,0.00096330413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022540841,0.00006589227,0.0014440652,0.00007876561,0.000064470194,0.00009042863,0.00007589009,0.8354817,0.009900313,0.007256305,0.0022658291,0.1430509],"study_design_scores_gemma":[0.0000010214713,0.0000052850737,0.0001170434,0.0000015614753,0.000003830001,0.000004428057,0.0000020027899,0.9984366,0.0005416131,0.00064116693,0.00024355164,0.0000017580215],"about_ca_topic_score_codex":0.014615574,"about_ca_topic_score_gemma":0.008200733,"teacher_disagreement_score":0.014615574,"about_ca_system_score_codex":0.000570877,"about_ca_system_score_gemma":0.00054839795,"threshold_uncertainty_score":0.02906096},"labels":[],"label_agreement":null},{"id":"W2344371444","doi":"","title":"Geometallurgy ‒ new/old methodology to improve resource management","year":2012,"lang":"en","type":"article","venue":"Matéria (Rio de Janeiro)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Comminution; Resource (disambiguation); Process (computing); Sample (material); Mineral processing; Computer science; Mining engineering; Geology; Metallurgy; Materials science; Chemistry","score_opus":0.03822998549915505,"score_gpt":0.25959138966627926,"score_spread":0.22136140416712421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344371444","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017763976,0.00034878645,0.99213976,0.0002338816,0.00008413268,0.0000756726,0.00031067006,0.0015772111,0.0034534456],"genre_scores_gemma":[0.030863019,0.00054053834,0.96150315,0.000110276174,0.00006805013,0.00020201007,0.0006369803,0.0006728703,0.005403188],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99890804,0.0002774813,0.000089698275,0.00028370335,0.00038065383,0.000060407743],"domain_scores_gemma":[0.9988381,0.00029590918,0.00014576424,0.00040371463,0.0002512676,0.00006523719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001517502,0.0014897216,0.0011712143,0.0025622817,0.00092309923,0.002966365,0.0020960176,0.00094902137,0.012172825],"category_scores_gemma":[0.002887554,0.0006888201,0.0017520231,0.002421493,0.0016204988,0.0028043906,0.0030499857,0.0020027556,0.0044641863],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012905464,0.00013642227,0.005528515,0.0008543958,0.0003994479,0.00038440916,0.00070552924,0.096268,0.009683055,0.25866672,0.020334288,0.6069102],"study_design_scores_gemma":[0.000072848125,0.00015870915,0.004649381,0.00027055843,0.00016027168,0.00061889907,0.0005447992,0.44232777,0.010887255,0.25960484,0.2805523,0.00015251496],"about_ca_topic_score_codex":0.0050811917,"about_ca_topic_score_gemma":0.005715823,"teacher_disagreement_score":0.012172825,"about_ca_system_score_codex":0.0012435332,"about_ca_system_score_gemma":0.0018992454,"threshold_uncertainty_score":0.04072213},"labels":[],"label_agreement":null},{"id":"W2348086724","doi":"","title":"Pulverizing of Particle during Pneumatic Conveying","year":2007,"lang":"en","type":"article","venue":"China Plastics Industry","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nozzle; Particle (ecology); Materials science; Mechanical engineering; Mechanism (biology); Mechanics; Engineering; Physics; Geology","score_opus":0.011082929558939218,"score_gpt":0.22188667390884703,"score_spread":0.2108037443499078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2348086724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96300304,0.001125398,0.033528,0.00007358952,0.000044039894,0.000077638906,0.000072587005,0.000379545,0.0016960735],"genre_scores_gemma":[0.99177647,0.0003253823,0.006767866,0.00002443376,0.000013664308,0.000018621102,0.00008003542,0.000023720417,0.0009696855],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976474,0.000027374457,0.000015549522,0.00005536589,0.00010145135,0.00003554854],"domain_scores_gemma":[0.99975806,0.00006891244,0.00006570706,0.00004110604,0.00005296312,0.000013357528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039661245,0.00036451654,0.00035466114,0.0002831816,0.0002519517,0.00042727918,0.00046189615,0.00034469576,0.0011741392],"category_scores_gemma":[0.00063265103,0.00019043311,0.00040063303,0.00029957434,0.00032194625,0.0005533775,0.0002224609,0.00033027233,0.00016951674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017679554,0.000013798484,0.000995878,0.00015739702,0.000010692755,0.00012976682,0.00008576948,0.0017863362,0.9784878,0.0005708303,0.00012498743,0.017459806],"study_design_scores_gemma":[0.00001746388,0.00031769503,0.006740958,0.000004462424,0.000017550417,0.00017214731,0.000028104982,0.0067152795,0.98406094,0.00012087022,0.001790158,0.000014240996],"about_ca_topic_score_codex":0.0006540742,"about_ca_topic_score_gemma":0.0005126548,"teacher_disagreement_score":0.0011741392,"about_ca_system_score_codex":0.00033126315,"about_ca_system_score_gemma":0.0002122831,"threshold_uncertainty_score":0.003927946},"labels":[],"label_agreement":null},{"id":"W2353138369","doi":"","title":"The Development and Production Application of Point-action Automatic Sampler","year":2011,"lang":"en","type":"article","venue":"Gold Science and Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"First Quantum Minerals (Canada)","funders":"","keywords":"Lever; Concentrator; Action (physics); Point (geometry); Production (economics); Computer science; Sampling (signal processing); Industrial engineering; Manufacturing engineering; Engineering; Mechanical engineering; Computer vision; Mathematics; Telecommunications","score_opus":0.02583746805124686,"score_gpt":0.23300566782670382,"score_spread":0.20716819977545695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2353138369","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062911846,0.0015725379,0.9201096,0.00026536945,0.0003705404,0.00062125607,0.0002759127,0.0035212333,0.01035175],"genre_scores_gemma":[0.3530765,0.002110352,0.6317436,0.00022403873,0.00019854544,0.0004959271,0.00061608216,0.00024074937,0.011294173],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983834,0.00011226826,0.000067113346,0.00025497522,0.0011122394,0.0000700183],"domain_scores_gemma":[0.99940014,0.00008921288,0.0000378359,0.00009195338,0.0003296248,0.000051102903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011600328,0.0004285762,0.00051663606,0.0011156028,0.00048559302,0.00069125916,0.0013723569,0.00075461314,0.0015046026],"category_scores_gemma":[0.0008795325,0.00044175776,0.0004926919,0.0010510149,0.0004186029,0.0009367522,0.0009970659,0.00067256397,0.00095662114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011005742,0.0001138048,0.004647932,0.00046416043,0.00002944403,0.00028774978,0.00025280117,0.0020791,0.7505716,0.009241278,0.0028171835,0.2293849],"study_design_scores_gemma":[0.000086498934,0.00070597127,0.008717859,0.000054660744,0.000088002635,0.0016678489,0.00011865744,0.055176992,0.8224934,0.0021589496,0.10860091,0.00013028417],"about_ca_topic_score_codex":0.00079990405,"about_ca_topic_score_gemma":0.00092840526,"teacher_disagreement_score":0.0015046026,"about_ca_system_score_codex":0.00040010994,"about_ca_system_score_gemma":0.0011862953,"threshold_uncertainty_score":0.0061348677},"labels":[],"label_agreement":null},{"id":"W2357468491","doi":"","title":"The Role of Grinding-aid Agent in Grinding Process of Villamaninite Ores and Its Influence","year":2009,"lang":"en","type":"article","venue":"Multipurpose Utilization of Mineral Resources","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nickel Institute","funders":"","keywords":"Grinding; Metallurgy; Process (computing); Materials science; Process engineering; Engineering; Computer science","score_opus":0.0139259953222237,"score_gpt":0.251439732839326,"score_spread":0.23751373751710234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2357468491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933143,0.0018265627,0.0017234425,0.00004654926,0.00001787922,0.000023630006,0.00003309174,0.00003617548,0.00297833],"genre_scores_gemma":[0.9964534,0.0005846059,0.0019213158,0.000018655714,0.000003827537,0.000005886431,0.000028766903,0.000011824573,0.00097163476],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983084,0.000035602356,0.000014327575,0.000026065034,0.000054947363,0.000038177037],"domain_scores_gemma":[0.99973387,0.00010760041,0.000048330403,0.000022545582,0.000056259534,0.000031391246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025551216,0.00028652855,0.0002890079,0.00024204931,0.00023714163,0.00040151222,0.00025383214,0.00022450263,0.0012737336],"category_scores_gemma":[0.0006189189,0.00012279571,0.00019793776,0.0001597356,0.00030452706,0.0003452045,0.00020259232,0.0002982708,0.00015351115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008349364,0.0000746715,0.0024485444,0.0002489817,0.000018753508,0.00023674405,0.00013118198,0.00056467287,0.984072,0.00039527056,0.00005558919,0.010918731],"study_design_scores_gemma":[0.000019838919,0.00045019147,0.009459495,0.00001445818,0.000042723772,0.00018090737,0.00012816649,0.001618,0.9850278,0.00012618281,0.0029193044,0.000012871898],"about_ca_topic_score_codex":0.002002792,"about_ca_topic_score_gemma":0.003675157,"teacher_disagreement_score":0.002002792,"about_ca_system_score_codex":0.00019277705,"about_ca_system_score_gemma":0.00025682102,"threshold_uncertainty_score":0.004261017},"labels":[],"label_agreement":null},{"id":"W2371049302","doi":"","title":"Discuss about the application of the technology of shallow case picking in Shangwan coal plant","year":2007,"lang":"en","type":"article","venue":"Clean Coal Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Coal preparation plant; Coal; Sorting; Selection (genetic algorithm); Engineering; Process engineering; Separation (statistics); Process (computing); Waste management; Computer science; Artificial intelligence","score_opus":0.010408198756083785,"score_gpt":0.24070874098692704,"score_spread":0.23030054223084326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2371049302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53972435,0.009752814,0.148728,0.03837823,0.0026899097,0.0006189465,0.00044601204,0.0007822433,0.2588795],"genre_scores_gemma":[0.8435915,0.0068195947,0.038875073,0.0026134313,0.00032393876,0.000074630996,0.000250063,0.00006318063,0.10738863],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99965525,0.0000420668,0.000016400285,0.0000474681,0.0001641976,0.000074534655],"domain_scores_gemma":[0.9998883,0.000025783913,0.000011619049,0.000011439806,0.000046054476,0.000016931866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042088082,0.00023905194,0.000117902775,0.0006960611,0.0023981747,0.0008430094,0.00049195136,0.0014175754,0.0067630727],"category_scores_gemma":[0.00035705572,0.000160413,0.00037665042,0.00091928564,0.00047204897,0.0010070974,0.00074218033,0.0008022453,0.0012176719],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021923029,0.00016936022,0.03638507,0.0006225446,0.00003095326,0.00914827,0.0055771717,0.008884922,0.10909818,0.0429757,0.025925705,0.7609628],"study_design_scores_gemma":[0.00003309752,0.00069558097,0.0712209,0.00028668044,0.00012887585,0.008704789,0.015874255,0.018823372,0.16296738,0.032318413,0.6887153,0.00023137205],"about_ca_topic_score_codex":0.006879606,"about_ca_topic_score_gemma":0.016848382,"teacher_disagreement_score":0.006879606,"about_ca_system_score_codex":0.0009983781,"about_ca_system_score_gemma":0.0014306259,"threshold_uncertainty_score":0.022624731},"labels":[],"label_agreement":null},{"id":"W2372802865","doi":"","title":"Applied Study of Hydraulic OverflowingClassify on Superfine α -Al_2O_3 Powder","year":2006,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Disperser; Supersonic speed; Materials science; Process (computing); Particle (ecology); Particle size; Chemical engineering; Composite material; Mechanics; Engineering; Physics; Geology; Computer science","score_opus":0.009090246735508858,"score_gpt":0.20053331952252454,"score_spread":0.19144307278701567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2372802865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935388,0.0007967696,0.0022667015,0.00007085706,0.000022578204,0.000016618222,0.00007658063,0.000038100014,0.0031728523],"genre_scores_gemma":[0.9960937,0.00046614246,0.0011912489,0.000030374644,0.000015817615,0.000007136626,0.00006319183,0.000009732681,0.0021227268],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998129,0.000011954573,0.00000668156,0.000031831045,0.00009767414,0.00003889769],"domain_scores_gemma":[0.9999013,0.000024124725,0.000018858958,0.000008432961,0.000038037226,0.000009291168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017414072,0.00014734843,0.00020393501,0.0002237485,0.00025385924,0.00025606356,0.00023879224,0.00024411525,0.0014747096],"category_scores_gemma":[0.000210389,0.00010313231,0.0002021358,0.00029386018,0.0002058574,0.000341129,0.00017493221,0.0002383221,0.00018916595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010449332,0.000030811552,0.0003308002,0.000121109115,0.000004289221,0.000103301056,0.00007507783,0.000307389,0.9931734,0.00029232827,0.0001458299,0.005311102],"study_design_scores_gemma":[0.000012470583,0.00024776472,0.0031051787,0.000005206897,0.000007872332,0.00007481066,0.00007307028,0.0046965294,0.989556,0.00007506221,0.0021401024,0.0000058828264],"about_ca_topic_score_codex":0.0011137022,"about_ca_topic_score_gemma":0.0012011554,"teacher_disagreement_score":0.0014747096,"about_ca_system_score_codex":0.000285058,"about_ca_system_score_gemma":0.0001440512,"threshold_uncertainty_score":0.004933417},"labels":[],"label_agreement":null},{"id":"W2376643943","doi":"10.7451/cbe.2016.58.4.1","title":"Size measurement method for Loblolly Pine grinds and influence on predictability of fluidization","year":2016,"lang":"en","type":"article","venue":"Canadian Biosystems Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fluidization; Predictability; Loblolly pine; Environmental science; Mathematics; Pinus <genus>; Statistics; Engineering; Fluidized bed; Waste management; Botany; Biology","score_opus":0.009397810314151041,"score_gpt":0.1928977444675213,"score_spread":0.18349993415337026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2376643943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8964847,0.0016099851,0.09823667,0.00020044224,0.00020122138,0.00010788945,0.00046216193,0.00078341714,0.0019135099],"genre_scores_gemma":[0.9615821,0.0005021794,0.03604207,0.00009956222,0.000047010893,0.000075582175,0.00033625556,0.00018548981,0.00112966],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984244,0.00021166958,0.00008569051,0.00040982338,0.0007797426,0.00008875427],"domain_scores_gemma":[0.99011225,0.0065659964,0.00083713455,0.00057547406,0.0017474068,0.0001616157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022562623,0.00032921546,0.0003732675,0.0008742073,0.00059483247,0.000697804,0.00051703607,0.0005126501,0.0009871061],"category_scores_gemma":[0.008577417,0.00038050234,0.00027189447,0.0005948288,0.0004556646,0.00052904006,0.00040603778,0.0004847421,0.0002748168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090650853,0.00011714999,0.05608478,0.00009337064,0.000040413353,0.00005925243,0.00024838312,0.002845434,0.8783658,0.00025470075,0.0003991385,0.06058514],"study_design_scores_gemma":[0.000022121127,0.0007147045,0.17904592,0.000016896312,0.000121700425,0.00031153543,0.00015978802,0.047644243,0.7693962,0.00015516205,0.0023331991,0.00007860936],"about_ca_topic_score_codex":0.007238381,"about_ca_topic_score_gemma":0.015911968,"teacher_disagreement_score":0.007238381,"about_ca_system_score_codex":0.0007850062,"about_ca_system_score_gemma":0.000737307,"threshold_uncertainty_score":0.014392495},"labels":[],"label_agreement":null},{"id":"W2377163901","doi":"","title":"Numerical simulation of fluid bed jet mill under different working media","year":2010,"lang":"en","type":"article","venue":"Huagong jinzhan","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fluent; Mechanics; Airflow; Materials science; Inlet; Nozzle; Grinding; Jet (fluid); Flow (mathematics); Computational fluid dynamics; Computer simulation; Mechanical engineering; Composite material; Engineering; Physics","score_opus":0.02183728627848697,"score_gpt":0.24315322467279898,"score_spread":0.22131593839431202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2377163901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8134769,0.00054454146,0.15834056,0.00046177625,0.00021056781,0.00021667632,0.00084071484,0.001029056,0.024879266],"genre_scores_gemma":[0.95904255,0.00025113267,0.035604298,0.00004306892,0.0000142444815,0.00019734651,0.0003517086,0.00005973873,0.004435889],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977416,0.00004035374,0.000015171438,0.000033002423,0.0000862446,0.00005111666],"domain_scores_gemma":[0.99959296,0.00019126484,0.00004266137,0.000022144333,0.00011162605,0.000039386592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046946178,0.0005433195,0.0009334517,0.0005168641,0.0010659706,0.00084975525,0.0009258611,0.0013386103,0.002612967],"category_scores_gemma":[0.0008029481,0.00039381822,0.0007185627,0.00063939404,0.00059888593,0.00060285494,0.0004097504,0.00055150717,0.00018984408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009569726,0.00006664963,0.0016633847,0.00010378819,0.000016473672,0.00017191404,0.000114590126,0.9786769,0.012195421,0.0021972503,0.00027550888,0.0044223834],"study_design_scores_gemma":[0.000016461798,0.000020563026,0.00027318162,0.0000032334683,0.0000039845077,0.000009959308,0.000015237589,0.9976407,0.0016668575,0.0001405591,0.00020284434,0.000006376158],"about_ca_topic_score_codex":0.015468192,"about_ca_topic_score_gemma":0.007230539,"teacher_disagreement_score":0.015468192,"about_ca_system_score_codex":0.00087272713,"about_ca_system_score_gemma":0.0011245314,"threshold_uncertainty_score":0.030756295},"labels":[],"label_agreement":null},{"id":"W2383758034","doi":"","title":"Characteristic analysis of the pulverizing system of the tube coal mill and control strategies","year":2002,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Mill; Pulverized coal-fired boiler; Coal; Engineering; Bunker; Reliability (semiconductor); Power station; Control system; Control (management); Tube (container); Power (physics); Process engineering; Waste management; Computer science; Mechanical engineering; Electrical engineering","score_opus":0.008343160863035947,"score_gpt":0.1750879421204075,"score_spread":0.16674478125737158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2383758034","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039610732,0.00045872497,0.9464648,0.00012535689,0.000031113195,0.000060505372,0.000062235384,0.00032551668,0.012861015],"genre_scores_gemma":[0.973375,0.00047647592,0.019127022,0.00003637267,0.000037140497,0.00011216711,0.00009943978,0.00004326952,0.0066931304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977654,0.0000295322,0.000012091336,0.0000629977,0.00009532566,0.000023528783],"domain_scores_gemma":[0.999795,0.000057087655,0.000042553445,0.000017701213,0.00007875286,0.000008918479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020895878,0.00049851905,0.00042842238,0.0005020059,0.00041193722,0.00079586677,0.00048153038,0.00045988508,0.0031510077],"category_scores_gemma":[0.00044696868,0.0001791357,0.0004571843,0.00035280501,0.00041204187,0.0005699147,0.00024965705,0.000492256,0.0003563856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022970926,0.000058609083,0.0042875926,0.0003457202,0.000094085226,0.00060894684,0.0005897124,0.7230151,0.0724554,0.09835253,0.0019103511,0.09805217],"study_design_scores_gemma":[0.000010882546,0.00011115556,0.0017986504,0.000009934283,0.000026926316,0.00017202145,0.000036503672,0.98454916,0.004266522,0.006703222,0.0022971751,0.000017891298],"about_ca_topic_score_codex":0.0041664024,"about_ca_topic_score_gemma":0.002146506,"teacher_disagreement_score":0.0041664024,"about_ca_system_score_codex":0.00057603087,"about_ca_system_score_gemma":0.0005634962,"threshold_uncertainty_score":0.010541141},"labels":[],"label_agreement":null},{"id":"W2387107412","doi":"","title":"Analysis on crushing efficacy of gas flow crushing equipment","year":2005,"lang":"en","type":"article","venue":"Shenyang Gongye Daxue xuebao","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nozzle; Mist; Engineering; Inlet; Flow (mathematics); Mechanical engineering; Condensation; Petroleum engineering; Mechanics; Structural engineering; Materials science; Thermodynamics; Physics","score_opus":0.012684322193436827,"score_gpt":0.24136319229287262,"score_spread":0.2286788700994358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2387107412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98563343,0.0019139891,0.010156771,0.00002478008,0.000015690126,0.00005678939,0.00015195312,0.000115126306,0.0019313743],"genre_scores_gemma":[0.9959816,0.00050288206,0.0023823502,0.000010564041,0.0000071193663,0.000010931598,0.00019635103,0.000021660011,0.00088652066],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988582,0.00016149518,0.000070529815,0.00013243374,0.00067646056,0.00010095187],"domain_scores_gemma":[0.9949207,0.0024197467,0.0005854081,0.00032225033,0.0016475412,0.00010436177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001043072,0.00034864963,0.00037843673,0.0015778998,0.00030276985,0.00035514447,0.00034452262,0.00044280651,0.0012365651],"category_scores_gemma":[0.0028332046,0.00024437116,0.00056428544,0.000597094,0.0002916683,0.00057846017,0.00017120776,0.000437706,0.0003092625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021549203,0.0001782006,0.044121318,0.0010134648,0.000116697076,0.00029764482,0.00037559273,0.008178722,0.8311747,0.00025699582,0.00031245698,0.111819334],"study_design_scores_gemma":[0.000019084058,0.0025910002,0.19820929,0.0000449265,0.00016230579,0.00039784968,0.00018309543,0.018726937,0.7779101,0.000070441296,0.001632234,0.00005275135],"about_ca_topic_score_codex":0.0011390353,"about_ca_topic_score_gemma":0.0012449044,"teacher_disagreement_score":0.0015778998,"about_ca_system_score_codex":0.0003301181,"about_ca_system_score_gemma":0.0001071949,"threshold_uncertainty_score":0.0055163503},"labels":[],"label_agreement":null},{"id":"W2398421158","doi":"10.22260/isarc2013/0060","title":"Enhance Mining System Reliability through System Integration Approach","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Computer science; System integration; Automation; Software quality; Data mining; Software; Engineering; Software development; Database","score_opus":0.009277746337187136,"score_gpt":0.19817950473862347,"score_spread":0.18890175840143633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398421158","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033359457,0.00034190796,0.9631992,0.00012844839,0.000016786806,0.00010815088,0.00007014857,0.0009255555,0.0018503538],"genre_scores_gemma":[0.5891685,0.0003860908,0.40835738,0.000079439225,0.00003751774,0.0001614921,0.0003973776,0.00012250082,0.0012897444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986866,0.00036431156,0.00007365749,0.00021508192,0.00054256053,0.0001177207],"domain_scores_gemma":[0.99787366,0.0009210366,0.00025854618,0.00022105772,0.00066017365,0.00006553582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019389236,0.0009252266,0.00086356717,0.0026041537,0.00041248422,0.00096424524,0.0009704378,0.00047018574,0.0013512754],"category_scores_gemma":[0.0043587657,0.00043208044,0.0013902693,0.001702883,0.00032395063,0.0013552377,0.0015059578,0.000802864,0.00032216456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012977277,0.00024014503,0.016915154,0.0004015757,0.0003680542,0.00032119712,0.00049633917,0.56050354,0.017905952,0.012988564,0.0022247636,0.38750488],"study_design_scores_gemma":[0.0000074210807,0.00008595057,0.0015489829,0.000017198148,0.00009345822,0.00005528763,0.00004059746,0.9892889,0.0026317758,0.004837985,0.0013816314,0.000010771527],"about_ca_topic_score_codex":0.0031423862,"about_ca_topic_score_gemma":0.0032191025,"teacher_disagreement_score":0.0031423862,"about_ca_system_score_codex":0.0005951296,"about_ca_system_score_gemma":0.0013425467,"threshold_uncertainty_score":0.010254145},"labels":[],"label_agreement":null},{"id":"W2406851603","doi":"10.1016/j.powtec.2016.05.037","title":"The effect of granule moisture on passive acoustic emissions in a V-blender","year":2016,"lang":"en","type":"article","venue":"Powder Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vibration; Acoustics; Moisture; Water content; Materials science; Accelerometer; Particle (ecology); Particle size; Composite material; Engineering; Physics; Geotechnical engineering; Chemical engineering","score_opus":0.0037665895066232575,"score_gpt":0.21504818511573737,"score_spread":0.2112815956091141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406851603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99781066,0.00023435926,0.001523491,0.00001815137,0.000012907719,0.0000050620392,0.00003168473,0.000048867096,0.00031490444],"genre_scores_gemma":[0.99875975,0.00007908445,0.00049102685,0.000010246049,0.0000052374444,0.0000025600255,0.000027026406,0.000020740034,0.0006043766],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997341,0.000035957826,0.00002774107,0.000079525635,0.00007375569,0.00004882929],"domain_scores_gemma":[0.99949443,0.00025918282,0.00009782012,0.000037177084,0.00007165435,0.000039771236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002783771,0.00026097277,0.00029929628,0.00015451328,0.00023286328,0.00052043045,0.00040941522,0.0003464709,0.0014677354],"category_scores_gemma":[0.0005954309,0.00015170446,0.00023661382,0.00013908658,0.0002036455,0.0006318477,0.00025216918,0.00030430706,0.00028083278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008775641,0.000055847635,0.0005253161,0.000035642683,0.0000073291726,0.00004199598,0.00002999406,0.00028710568,0.9946942,0.000031598993,0.00001885513,0.0033945094],"study_design_scores_gemma":[0.000009330369,0.00028848124,0.001965691,0.000002136306,0.000014182882,0.000021267142,0.00002756402,0.0017017643,0.9957712,0.000010702209,0.00018435527,0.0000032461953],"about_ca_topic_score_codex":0.00043693394,"about_ca_topic_score_gemma":0.0005209906,"teacher_disagreement_score":0.0014677354,"about_ca_system_score_codex":0.00016894117,"about_ca_system_score_gemma":0.000100874706,"threshold_uncertainty_score":0.004910052},"labels":[],"label_agreement":null},{"id":"W2417474737","doi":"","title":"Mining Data in a Longwall Coal Mine: An Integration of Rock Mechanics & Data Mining to Predict Intersection Stability","year":2015,"lang":"en","type":"article","venue":"13th ISRM International Congress of Rock Mechanics","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Longwall mining; Mining engineering; Coal mining; Intersection (aeronautics); Geology; Underground mining (soft rock); Coal; Engineering","score_opus":0.09311710850996786,"score_gpt":0.3149586660291522,"score_spread":0.22184155751918433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2417474737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99608874,0.000039548235,0.0016397152,0.0002797073,0.000010622208,0.000023557905,0.0009673088,0.00013100544,0.0008199616],"genre_scores_gemma":[0.9906307,0.000043718068,0.0065041655,0.000022588783,0.000008132489,0.000014525076,0.00196978,0.000014465744,0.0007919275],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977857,0.000027605252,0.000021836759,0.00004026639,0.00009902673,0.000032768137],"domain_scores_gemma":[0.99940467,0.00018783027,0.000051409912,0.000063959385,0.00022257523,0.0000694919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040459467,0.00038767065,0.00040485934,0.0011455106,0.00062747236,0.00076765625,0.0007208339,0.0010243854,0.0011866965],"category_scores_gemma":[0.0009498459,0.00028468482,0.00039290212,0.0014044611,0.00024772435,0.00067594595,0.0007024074,0.0005185945,0.00042068504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009329058,0.0021411139,0.7783301,0.000113549904,0.00019453693,0.002896148,0.00044917862,0.104658246,0.011961192,0.0009312667,0.0067371787,0.09065472],"study_design_scores_gemma":[0.000063266816,0.0002898538,0.26910898,0.000029846224,0.00008216699,0.0004486484,0.0012007697,0.71839917,0.0066020554,0.00097174966,0.0027640034,0.000039560266],"about_ca_topic_score_codex":0.035767917,"about_ca_topic_score_gemma":0.10063903,"teacher_disagreement_score":0.035767917,"about_ca_system_score_codex":0.0006580176,"about_ca_system_score_gemma":0.0011547612,"threshold_uncertainty_score":0.07111943},"labels":[],"label_agreement":null},{"id":"W2418783276","doi":"10.1016/j.minpro.2016.05.020","title":"Size–energy relationship in comminution, incorporating scaling laws and heat","year":2016,"lang":"en","type":"article","venue":"International Journal of Mineral Processing","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Metso (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Comminution; Statistical physics; Scaling; Work (physics); Fractal; Particle size; Energy (signal processing); Surface (topology); Mathematics; Mechanics; Physics; Thermodynamics; Statistics; Materials science; Mathematical analysis; Geometry; Geology","score_opus":0.014782766926081173,"score_gpt":0.2477277751640656,"score_spread":0.23294500823798442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2418783276","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40394834,0.005114805,0.5229208,0.002660135,0.00086442684,0.00019411302,0.00026234429,0.00061840133,0.063416645],"genre_scores_gemma":[0.95077574,0.00084315427,0.018848142,0.00028618317,0.000117767435,0.000091909555,0.00008026248,0.00031447894,0.02864228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997371,0.000038915037,0.000013614981,0.00007201109,0.0000990895,0.000039408507],"domain_scores_gemma":[0.9983974,0.0009887192,0.00010490049,0.00020704126,0.0002421585,0.00005971136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007070946,0.0004854822,0.00051822764,0.0008932703,0.00074776285,0.00071928755,0.0018368006,0.0010969971,0.0053890743],"category_scores_gemma":[0.0032589764,0.0004255518,0.0005194583,0.00078789867,0.0015641892,0.0029008936,0.00088185444,0.0008685684,0.0006222474],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001243799,0.0003598679,0.003222662,0.00031260215,0.0000406328,0.0008465354,0.0004501716,0.505427,0.046220347,0.3963694,0.0045955465,0.042030815],"study_design_scores_gemma":[0.00001428775,0.00004243721,0.0023420334,0.000015128812,0.00001153338,0.00013482633,0.0000647626,0.9238711,0.006921827,0.0630597,0.0034948569,0.000027467491],"about_ca_topic_score_codex":0.0032039965,"about_ca_topic_score_gemma":0.0050419783,"teacher_disagreement_score":0.0053890743,"about_ca_system_score_codex":0.0010062974,"about_ca_system_score_gemma":0.0004794654,"threshold_uncertainty_score":0.0180282},"labels":[],"label_agreement":null},{"id":"W2465064047","doi":"","title":"Nature of Rock Fragmentation Process in Crushing Operation: A Laboratory Simulation Study","year":2015,"lang":"en","type":"article","venue":"13th ISRM International Congress of Rock Mechanics","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Crusher; Process (computing); Fragmentation (computing); Mining engineering; Geology; Environmental science; Computer science; Engineering; Mechanical engineering","score_opus":0.02009759500809304,"score_gpt":0.3126964039780344,"score_spread":0.29259880896994134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465064047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937913,0.000048570884,0.001966549,0.00007724934,0.000011897882,0.000029867546,0.00015387176,0.0000629966,0.0038577404],"genre_scores_gemma":[0.9987098,0.00003438202,0.00043046993,0.000009279972,0.0000029031958,0.000016055685,0.00008298613,0.0000097346065,0.00070440694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998672,0.000024061705,0.000006988159,0.000023427958,0.000025499732,0.000052810425],"domain_scores_gemma":[0.998618,0.00087602617,0.00013661495,0.00009904572,0.00013574015,0.00013449769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041826066,0.0004872562,0.0007822639,0.00060705846,0.0007426957,0.0007994438,0.00114025,0.001871792,0.0035732465],"category_scores_gemma":[0.0015485487,0.00039843618,0.00094441435,0.00037999448,0.0008224663,0.0008079138,0.0004367193,0.00083132455,0.0002891796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024858894,0.00045497142,0.0063581527,0.000054416945,0.000028918377,0.00033581676,0.000079760575,0.98548317,0.0038625961,0.0005542642,0.00029802747,0.0022413335],"study_design_scores_gemma":[0.000053404707,0.0002474996,0.0026576447,0.0000051760403,0.000019818906,0.00003957842,0.000090960195,0.9955302,0.0010917176,0.00013440226,0.00011629294,0.000013217406],"about_ca_topic_score_codex":0.01864302,"about_ca_topic_score_gemma":0.0095043555,"teacher_disagreement_score":0.01864302,"about_ca_system_score_codex":0.0006792134,"about_ca_system_score_gemma":0.0009966395,"threshold_uncertainty_score":0.037069023},"labels":[],"label_agreement":null},{"id":"W2465708690","doi":"10.1007/bf03403263","title":"Microscopic digital image analysis of gold ores: a critical test of methodology, comparing reflected light and electron microscopy","year":2002,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Digital image analysis; Microscopy; Electron microscope; Materials science; Optics; Mineralogy; Computer science; Chemistry; Physics; Computer vision","score_opus":0.06642470281118856,"score_gpt":0.32914326549901485,"score_spread":0.2627185626878263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465708690","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5336573,0.0022096212,0.45231652,0.001172853,0.000448833,0.0009044114,0.0005214117,0.0011988357,0.007570194],"genre_scores_gemma":[0.60243154,0.0011204545,0.39156425,0.0002909538,0.000049663093,0.0002836647,0.0002651611,0.0004890615,0.0035052025],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981501,0.0004688581,0.0002704993,0.00025424123,0.0007217388,0.00013454702],"domain_scores_gemma":[0.98279333,0.007345031,0.0005976638,0.0027817138,0.0062868954,0.00019532915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062893624,0.0003336768,0.00037738436,0.001743641,0.0008176811,0.00123182,0.00082102587,0.00064069574,0.002973073],"category_scores_gemma":[0.010426896,0.00038586985,0.0002667351,0.000755779,0.0014877454,0.001033082,0.00090261,0.0007375456,0.00067382754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010547277,0.00019658216,0.0076432247,0.0009762845,0.00010706718,0.00038399128,0.0013408015,0.00077146245,0.89360785,0.004065261,0.0005709231,0.08928178],"study_design_scores_gemma":[0.00007879441,0.00096481433,0.050091144,0.00015248875,0.00028215614,0.003113372,0.0014976691,0.017428884,0.90782,0.0028877223,0.015601041,0.000081988175],"about_ca_topic_score_codex":0.0016011122,"about_ca_topic_score_gemma":0.004806184,"teacher_disagreement_score":0.0062893624,"about_ca_system_score_codex":0.00060125656,"about_ca_system_score_gemma":0.00082000473,"threshold_uncertainty_score":0.033261716},"labels":[],"label_agreement":null},{"id":"W2465979646","doi":"10.3390/ma9070531","title":"Hard-Rock Stability Analysis for Span Design in Entry-Type Excavations with Learning Classifiers","year":2016,"lang":"en","type":"article","venue":"Materials","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Universidad de Oviedo","keywords":"Excavation; Support vector machine; Computer science; Empirical research; Stability (learning theory); Span (engineering); Chart; Machine learning; Graph; Rock mass classification; Artificial intelligence; Data mining; Engineering; Geotechnical engineering; Mathematics; Structural engineering; Statistics; Theoretical computer science","score_opus":0.051587285833776926,"score_gpt":0.23974939289451022,"score_spread":0.1881621070607333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465979646","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10520272,0.000108229935,0.8927469,0.000046647194,0.000009823019,0.00006720553,0.00014609794,0.00062977854,0.0010426576],"genre_scores_gemma":[0.827704,0.000077351164,0.17023163,0.000025713061,0.000022375802,0.00014231453,0.0005488313,0.00008937382,0.0011583538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987858,0.0003135515,0.00010966658,0.0002546434,0.00042813696,0.000108260414],"domain_scores_gemma":[0.9952991,0.0029923706,0.00044703085,0.00027813588,0.0008658736,0.000117392694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020858808,0.00075721066,0.00092406856,0.0022408585,0.0005057845,0.00082653674,0.0008841741,0.00064774114,0.0024680195],"category_scores_gemma":[0.007821067,0.00032669358,0.000849446,0.001065162,0.00050807395,0.001119983,0.00075666176,0.0007902157,0.00050512276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001823,0.00013085373,0.019193014,0.00009394512,0.000049985127,0.00007859963,0.00009989235,0.7371884,0.004709823,0.0024209677,0.0008715712,0.23498069],"study_design_scores_gemma":[0.0000035349394,0.0000333234,0.0016540743,0.000005075905,0.0000043917407,0.000009538549,0.000013274855,0.9957463,0.0012222939,0.0011247635,0.00017900181,0.0000043810655],"about_ca_topic_score_codex":0.005350448,"about_ca_topic_score_gemma":0.005454076,"teacher_disagreement_score":0.005350448,"about_ca_system_score_codex":0.00075278373,"about_ca_system_score_gemma":0.0010699787,"threshold_uncertainty_score":0.01103133},"labels":[],"label_agreement":null},{"id":"W2466076534","doi":"10.3390/min6030068","title":"Effect of Particle Size and Grinding Time on Gold Dissolution in Cyanide Solution","year":2016,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dissolution; Particle size; Grinding; Leaching (pedology); Metallurgy; Particle (ecology); Materials science; Gold ore; Particle-size distribution; Cyanide; Mineralogy; Chemistry; Geology","score_opus":0.006333101378564574,"score_gpt":0.22176141901592825,"score_spread":0.21542831763736367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466076534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962824,0.0006850711,0.0017326549,0.000042523687,0.00004130162,0.000031890744,0.000097965094,0.00004833463,0.0010378247],"genre_scores_gemma":[0.9887107,0.0008881371,0.008056475,0.00006467219,0.000017840026,0.00004201943,0.00018174454,0.000049264752,0.0019893025],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999537,0.00007671912,0.000055819455,0.00010821483,0.00016496149,0.00005746846],"domain_scores_gemma":[0.99873143,0.00075219065,0.00017082944,0.00009360458,0.00019571838,0.000056160796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006676049,0.00037641212,0.00037376178,0.00026617394,0.00018813006,0.00031935365,0.00029096394,0.0003391768,0.0008104255],"category_scores_gemma":[0.0016142551,0.0002678245,0.0002843802,0.00021708237,0.0002783354,0.00028599662,0.00021400832,0.00042515446,0.000251418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003309659,0.000051137493,0.0007773929,0.000058428206,0.00001389598,0.000059231275,0.00011149215,0.00024500838,0.99430895,0.000024918409,0.000036078643,0.0039825356],"study_design_scores_gemma":[0.000009264545,0.00045013608,0.0042514857,0.0000037459001,0.000013604512,0.00003613475,0.000031901305,0.001112141,0.99374795,0.000014277012,0.0003214116,0.0000079310685],"about_ca_topic_score_codex":0.0024745057,"about_ca_topic_score_gemma":0.0045843776,"teacher_disagreement_score":0.0024745057,"about_ca_system_score_codex":0.00029743763,"about_ca_system_score_gemma":0.0002376593,"threshold_uncertainty_score":0.0049201846},"labels":[],"label_agreement":null},{"id":"W2471910018","doi":"10.3182/20060402-4-br-2902.00945","title":"OPPORTUNITY FOR REAL-TIME OPTIMIZATION IN A NEWSPRINT MILL: A SIMULATION CASE STUDY","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Newsprint; Mill; Engineering; Paper machine; Stock (firearms); Process (computing); Pulp mill; Operations research; Computer science; Waste management; Mechanical engineering; Pulp and paper industry","score_opus":0.01948630121371064,"score_gpt":0.26033925026866783,"score_spread":0.2408529490549572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471910018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97548354,0.00007892566,0.010511997,0.00039279694,0.000022954442,0.00011945138,0.00026953948,0.00023162503,0.012889245],"genre_scores_gemma":[0.99482805,0.000029023236,0.0034040215,0.000017704804,0.0000029856576,0.000039365324,0.00010710794,0.00003123089,0.0015405455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992847,0.00028117932,0.00002660575,0.00009367251,0.00011809693,0.00019586508],"domain_scores_gemma":[0.99571025,0.0032086144,0.00018728466,0.00022255456,0.00030207724,0.0003691948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013591885,0.000939698,0.0010041025,0.0007265734,0.0013165916,0.001943901,0.0018985693,0.004285279,0.005987018],"category_scores_gemma":[0.0038396064,0.0009272202,0.001079667,0.0007961387,0.0011320459,0.0013710669,0.00078683626,0.0014750818,0.00046306857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006638682,0.0007059896,0.0028611468,0.000060274262,0.00003031425,0.0008395319,0.00011984477,0.98776346,0.001781851,0.0011626981,0.0005386253,0.003472359],"study_design_scores_gemma":[0.0001686712,0.0004314486,0.0013303603,0.000005434527,0.00002746579,0.00006424067,0.00025533646,0.9954176,0.0012635806,0.0005739129,0.00043656747,0.000025455782],"about_ca_topic_score_codex":0.020885173,"about_ca_topic_score_gemma":0.017226567,"teacher_disagreement_score":0.020885173,"about_ca_system_score_codex":0.0017060831,"about_ca_system_score_gemma":0.0014025611,"threshold_uncertainty_score":0.04152721},"labels":[],"label_agreement":null},{"id":"W2477285746","doi":"10.1016/j.ifacol.2015.09.120","title":"Establishing Multivariate Specification Regions for Raw Materials using SMB-PLS","year":2015,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alcoa (Canada); Université Laval","funders":"","keywords":"Raw material; Multivariate statistics; Process (computing); Process engineering; Computer science; Block (permutation group theory); Raw data; Quality (philosophy); Multivariate analysis; Product (mathematics); Final product; Reliability engineering; Mathematics; Engineering; Machine learning; Chemistry","score_opus":0.12699652635341155,"score_gpt":0.3060360324684559,"score_spread":0.17903950611504435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2477285746","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006070225,0.000049900005,0.9926984,0.000021882222,0.000003003257,0.000038287002,0.0001453774,0.00063788425,0.00033522488],"genre_scores_gemma":[0.1689896,0.0002133676,0.82620555,0.000043742893,0.000012476263,0.00041598885,0.0020341852,0.00090979505,0.0011754202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99657685,0.0014826965,0.00017564296,0.0006374919,0.00094071095,0.0001867434],"domain_scores_gemma":[0.99471754,0.0030640576,0.0006637108,0.00047469343,0.0010048714,0.000075170894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008202172,0.0025253752,0.0014013621,0.0022125368,0.00066638977,0.001840986,0.0015325432,0.0008840363,0.002872606],"category_scores_gemma":[0.010301895,0.001146752,0.0025432017,0.002002063,0.001005881,0.0021167486,0.001783944,0.0020192175,0.0022776057],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073287997,0.0002762204,0.005156831,0.0006048005,0.00028874405,0.00024193748,0.00033447734,0.61881745,0.09127961,0.02106315,0.0025503074,0.2586536],"study_design_scores_gemma":[0.000017106177,0.00006214368,0.0010270062,0.000012669038,0.000027854041,0.000035326375,0.000025930753,0.97784036,0.014484008,0.0048673726,0.0015637515,0.000036447687],"about_ca_topic_score_codex":0.005132334,"about_ca_topic_score_gemma":0.0043279026,"teacher_disagreement_score":0.008202172,"about_ca_system_score_codex":0.0008428362,"about_ca_system_score_gemma":0.003002293,"threshold_uncertainty_score":0.043377697},"labels":[],"label_agreement":null},{"id":"W2485267921","doi":"10.1201/b13759-104","title":"Wall control by blasting optimization at “Las Cruces” open pit copper mine (Spain)","year":2012,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Copper mine; Rock blasting; Mining engineering; Copper; Open-pit mining; Geology; Environmental science; Metallurgy; Materials science","score_opus":0.01600863981485269,"score_gpt":0.2128736084090032,"score_spread":0.19686496859415054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2485267921","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36388654,0.002553063,0.15627244,0.00047450323,0.00022541932,0.00030170105,0.0009509465,0.005275135,0.47006032],"genre_scores_gemma":[0.5881758,0.0010355709,0.05424014,0.0000793503,0.00002202262,0.00010989805,0.0010749697,0.0006900109,0.35457236],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99988806,0.000007918439,0.0000024129479,0.000017965784,0.00006575799,0.000017919207],"domain_scores_gemma":[0.99995685,0.0000048497886,0.0000040810623,0.0000045505353,0.000024942357,0.000004776084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012389649,0.00041013144,0.0002311509,0.00029219376,0.00026782425,0.00061179145,0.00049002125,0.00031227624,0.011123938],"category_scores_gemma":[0.00011758022,0.00013257616,0.00015984896,0.0002748278,0.00012279396,0.00016489303,0.00023163935,0.00021326644,0.0025031108],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031680852,0.00029128627,0.0029362838,0.00038964505,0.000014305911,0.0005045451,0.00032440276,0.07375855,0.24937204,0.0060148393,0.045451574,0.62062573],"study_design_scores_gemma":[0.00014417592,0.0013418715,0.027398003,0.00015567562,0.000050225757,0.0006486781,0.000678738,0.18979423,0.32357648,0.0033088482,0.45282644,0.000076646655],"about_ca_topic_score_codex":0.007469487,"about_ca_topic_score_gemma":0.015379913,"teacher_disagreement_score":0.011123938,"about_ca_system_score_codex":0.0005690261,"about_ca_system_score_gemma":0.0004542029,"threshold_uncertainty_score":0.037213266},"labels":[],"label_agreement":null},{"id":"W2492094769","doi":"10.4018/978-1-4666-2095-7.ch004","title":"Generating Indicators for Diagnosis of Fault Levels by Integrating Information from Two or More Sensors","year":2012,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fault (geology); SIGNAL (programming language); Information fusion; Impeller; Feature (linguistics); Computer science; Real-time computing; Artificial intelligence; Data mining; Engineering; Control engineering; Pattern recognition (psychology); Mechanical engineering","score_opus":0.019996315159213726,"score_gpt":0.2565379633398541,"score_spread":0.23654164818064038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2492094769","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009507754,0.0041926503,0.9656423,0.00032267673,0.00028695303,0.000120460434,0.00056421745,0.0028944518,0.016468508],"genre_scores_gemma":[0.09850294,0.0049358304,0.87660193,0.00019665295,0.00016930411,0.00013316348,0.001447528,0.00052115874,0.017491467],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995127,0.00003444361,0.000025111438,0.00011433682,0.00028434466,0.000029116778],"domain_scores_gemma":[0.99935704,0.00028061034,0.00006193111,0.00008233211,0.0001979525,0.000020066149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063811016,0.0010941442,0.00091499195,0.0023727042,0.00026242115,0.001489955,0.0010598485,0.0011535331,0.0046545486],"category_scores_gemma":[0.0011949798,0.00048799498,0.00075033866,0.0020615335,0.00050897914,0.0019556745,0.0006694353,0.0012444924,0.0032917028],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014533204,0.00009640533,0.0014910753,0.00080176705,0.000057467514,0.00026122495,0.00027010895,0.014703087,0.095670275,0.017646316,0.010681982,0.85817504],"study_design_scores_gemma":[0.00008334136,0.0006679971,0.011724172,0.0008320199,0.00040988578,0.0028713103,0.00052100746,0.32952896,0.3282199,0.06938638,0.2553665,0.00038850808],"about_ca_topic_score_codex":0.0004669645,"about_ca_topic_score_gemma":0.00070690765,"teacher_disagreement_score":0.0046545486,"about_ca_system_score_codex":0.00042772337,"about_ca_system_score_gemma":0.00039860446,"threshold_uncertainty_score":0.015571058},"labels":[],"label_agreement":null},{"id":"W2494743600","doi":"10.1201/noe0415444019-c43","title":"Investigating raise stability using fracture system and particle flow tools","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Fracture (geology); Particle (ecology); Stability (learning theory); Flow (mathematics); Particle flow; Geology; Materials science; Computer science; Mechanics; Geotechnical engineering; Physics; Discrete element method","score_opus":0.07665767034273353,"score_gpt":0.25077099003661424,"score_spread":0.17411331969388072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2494743600","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21895145,0.007936057,0.6089666,0.00068974413,0.000344284,0.00017157344,0.00079167046,0.001929526,0.16021916],"genre_scores_gemma":[0.63354576,0.004272369,0.239988,0.00014886839,0.00007413831,0.000120739904,0.000708706,0.00073876436,0.120402634],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997429,0.00001197021,0.0000068999743,0.000049014197,0.00016966378,0.000019487596],"domain_scores_gemma":[0.9998171,0.000082363564,0.00001690583,0.000025594296,0.000050406208,0.000007701824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036125103,0.0004167479,0.000476356,0.0011788899,0.0006267635,0.0013456187,0.0010647101,0.0009276956,0.009216948],"category_scores_gemma":[0.00054123055,0.00041176507,0.0004766996,0.0008274493,0.00077025715,0.0012776855,0.0005393249,0.0008146418,0.0015988573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016072339,0.00018840171,0.003748708,0.0005597162,0.00004402544,0.0005551687,0.0008326241,0.026570935,0.48461723,0.09400568,0.00687753,0.38183922],"study_design_scores_gemma":[0.000024796367,0.00038745618,0.013855218,0.00011807931,0.00009423166,0.0019343853,0.00090834557,0.13972333,0.68688774,0.07029598,0.08566324,0.00010719844],"about_ca_topic_score_codex":0.0012995346,"about_ca_topic_score_gemma":0.0028512108,"teacher_disagreement_score":0.009216948,"about_ca_system_score_codex":0.00058621564,"about_ca_system_score_gemma":0.00040180972,"threshold_uncertainty_score":0.030833721},"labels":[],"label_agreement":null},{"id":"W2507287417","doi":"10.14288/1.0305131","title":"Developing simulation models to improve the production process of a parallam mill","year":2016,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Production (economics); Process (computing); Mill; Computer science; Manufacturing engineering; Process engineering; Engineering; Economics; Mechanical engineering; Microeconomics","score_opus":0.015943353464789548,"score_gpt":0.19378933661756323,"score_spread":0.17784598315277367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507287417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49913466,0.00082630396,0.4433564,0.0013149271,0.0002922651,0.00083989406,0.0031130647,0.0022837035,0.048838746],"genre_scores_gemma":[0.9113661,0.00046280902,0.078665145,0.000107048545,0.000019162168,0.0005712036,0.0015118013,0.00012069331,0.0071761264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999592,0.00013955959,0.000026221142,0.00006761783,0.000089472356,0.00008510182],"domain_scores_gemma":[0.9966563,0.0023735208,0.00023176396,0.00011359267,0.0005009731,0.00012373104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013999916,0.0011814759,0.0010582639,0.0008739987,0.0009821502,0.0019760798,0.0016146809,0.0020450728,0.006036002],"category_scores_gemma":[0.0036873168,0.0009290985,0.0013556883,0.0008390796,0.000517287,0.0011718203,0.0007291534,0.0019556615,0.0006311316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026778285,0.000030057172,0.00063035294,0.000018045337,0.000005867807,0.00002037128,0.000016521288,0.99704856,0.00017232988,0.0008771081,0.00009258075,0.0010613964],"study_design_scores_gemma":[0.000008667577,0.000011326862,0.000073124495,0.0000044657136,0.0000043423256,0.0000020600971,0.000010754916,0.9991391,0.00018636914,0.00027828626,0.00027868807,0.0000028194597],"about_ca_topic_score_codex":0.05594904,"about_ca_topic_score_gemma":0.030096015,"teacher_disagreement_score":0.05594904,"about_ca_system_score_codex":0.0022648156,"about_ca_system_score_gemma":0.0032043345,"threshold_uncertainty_score":0.111246765},"labels":[],"label_agreement":null},{"id":"W2507578302","doi":"10.1002/cjce.22643","title":"Thermal kinetics analysis in microwave‐assisted oil sands separation","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Oil sands; Asphalt; Thermal; Dissipation; Settling; Buoyancy; Materials science; Microwave; Thermal conduction; Phase (matter); Environmental science; Mechanics; Mineralogy; Composite material; Geology; Chemistry; Thermodynamics; Environmental engineering","score_opus":0.00821539382830711,"score_gpt":0.19957049869191273,"score_spread":0.19135510486360563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507578302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95652723,0.0003192181,0.031371642,0.00017219703,0.000027527492,0.00006856819,0.0002782592,0.00013706819,0.011098342],"genre_scores_gemma":[0.99377066,0.0001694562,0.0038267493,0.000015475973,0.0000041938883,0.000040666262,0.00009683938,0.00001650006,0.0020593856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993587,0.000010580645,0.0000027540812,0.000009682909,0.000020091715,0.000020964208],"domain_scores_gemma":[0.999757,0.00015400327,0.000021863856,0.000015426278,0.000039194,0.000012549635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002621041,0.00027250202,0.00057074067,0.0003588507,0.00040503865,0.0005669262,0.00045296285,0.00056024414,0.0021824671],"category_scores_gemma":[0.00072090945,0.00028098628,0.0005223234,0.00027008387,0.00036672765,0.0004567883,0.0002637302,0.0003920668,0.00028578128],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117636504,0.00006255402,0.00090814795,0.000101073296,0.00001934085,0.00007621362,0.000039800718,0.970861,0.022091387,0.0019765482,0.00012239028,0.0036239207],"study_design_scores_gemma":[0.000015028822,0.000039585215,0.00039141273,0.000004245353,0.000008281866,0.000009039813,0.000016746719,0.9917625,0.007270913,0.00021643289,0.0002590896,0.000006755995],"about_ca_topic_score_codex":0.010494077,"about_ca_topic_score_gemma":0.0050675683,"teacher_disagreement_score":0.010494077,"about_ca_system_score_codex":0.0007379337,"about_ca_system_score_gemma":0.0009510398,"threshold_uncertainty_score":0.020865977},"labels":[],"label_agreement":null},{"id":"W2509952725","doi":"10.5006/c2012-01149","title":"Metal Dusting in the Crossover Piping System at a Petrochemical Plant","year":2012,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Chemicals (Canada)","funders":"","keywords":"Piping; Petrochemical; Metallurgy; Materials science; Crossover; Nuclear engineering; Engineering; Waste management; Mechanical engineering; Computer science","score_opus":0.01595700179000957,"score_gpt":0.20529868412611013,"score_spread":0.18934168233610055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509952725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993905,0.000008231362,0.00039595654,0.000005794326,0.0000011614098,0.0000086644195,0.000022060307,0.000045536286,0.00012201854],"genre_scores_gemma":[0.9993332,0.000004706829,0.00033654392,0.000002356007,7.040989e-7,0.0000026462558,0.000022161985,0.0000037670325,0.00029384918],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99977237,0.000018800863,0.000009057415,0.000061156476,0.00008895457,0.000049719387],"domain_scores_gemma":[0.9996482,0.000089710986,0.00006109199,0.000047652095,0.00007598658,0.000077300014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003050056,0.0003290774,0.00035472942,0.0005652126,0.0011631692,0.00031167126,0.00037597833,0.00068387116,0.0020011342],"category_scores_gemma":[0.0005034752,0.00026404115,0.00024537323,0.00031944408,0.00040605135,0.00028017678,0.0004776735,0.0003867244,0.00033443095],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011214077,0.0006124442,0.24366991,0.00020119178,0.0000649069,0.018658461,0.0032383238,0.012750238,0.6768724,0.00016318478,0.00057987234,0.042067736],"study_design_scores_gemma":[0.00007994986,0.0062293853,0.6913907,0.000027320066,0.000091163434,0.005169698,0.0033925816,0.033759758,0.25693434,0.000187236,0.002668631,0.00006931248],"about_ca_topic_score_codex":0.0059518027,"about_ca_topic_score_gemma":0.008002286,"teacher_disagreement_score":0.0059518027,"about_ca_system_score_codex":0.0005367476,"about_ca_system_score_gemma":0.00038702093,"threshold_uncertainty_score":0.011834323},"labels":[],"label_agreement":null},{"id":"W2510466926","doi":"10.1016/j.powtec.2017.01.075","title":"Development and study of measurement methods for bogging in a fluidized bed","year":2017,"lang":"en","type":"article","venue":"Powder Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Syncrude (Canada); Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fluidized bed; Process engineering; Environmental science; Materials science; Petroleum engineering; Engineering; Waste management","score_opus":0.0682783853062651,"score_gpt":0.3482503115638163,"score_spread":0.2799719262575512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510466926","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2019255,0.0027325582,0.79098547,0.00020921089,0.00023478153,0.0005406308,0.00026448505,0.0010281766,0.0020791579],"genre_scores_gemma":[0.46901616,0.0014300465,0.5265935,0.00006268629,0.00004290591,0.00042150897,0.00021005572,0.00010186408,0.002121351],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99699557,0.00047121593,0.00013571011,0.00036882955,0.0019161562,0.00011259255],"domain_scores_gemma":[0.99691075,0.0010331474,0.00020969336,0.0002691384,0.001491775,0.0000855588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034999794,0.00077421445,0.00086406263,0.0016925071,0.000721196,0.001072415,0.002033518,0.0010777187,0.0006575402],"category_scores_gemma":[0.0038274368,0.0005775732,0.0004981784,0.0010643881,0.00088833336,0.0014255933,0.0007847112,0.0009888083,0.00035481804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020785391,0.00032638086,0.0044799657,0.00062003726,0.000037804453,0.00007039051,0.00031785746,0.0027840545,0.8709196,0.0018053522,0.00027357132,0.11815715],"study_design_scores_gemma":[0.000032969936,0.00079599454,0.0086347675,0.00003846501,0.00006188221,0.00020201234,0.00020321111,0.051847395,0.9315333,0.0004374944,0.0061365557,0.00007602357],"about_ca_topic_score_codex":0.003701002,"about_ca_topic_score_gemma":0.0048006545,"teacher_disagreement_score":0.003701002,"about_ca_system_score_codex":0.0009523855,"about_ca_system_score_gemma":0.0014849013,"threshold_uncertainty_score":0.018509924},"labels":[],"label_agreement":null},{"id":"W2516877453","doi":"10.1016/j.minpro.2016.08.012","title":"A review of the applications of the JK size-dependent breakage model","year":2016,"lang":"en","type":"review","venue":"International Journal of Mineral Processing","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"BHP Billiton; Newcrest Mining; Barrick Gold Corporation","keywords":"Breakage; Comminution; Grinding; Coal; Process engineering; Engineering; Forensic engineering; Materials science; Environmental science; Mechanical engineering; Metallurgy; Waste management; Composite material","score_opus":0.023540709519859794,"score_gpt":0.3155019706731212,"score_spread":0.2919612611532614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2516877453","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018045974,0.9549805,0.0314829,0.00065245817,0.000624002,0.000024231727,0.0002188984,0.000096431795,0.01011597],"genre_scores_gemma":[0.02313769,0.9587662,0.011757448,0.000249886,0.000572069,0.000046738558,0.00027410084,0.000059958747,0.0051358514],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996406,0.000052488143,0.00004714947,0.000096604934,0.00013253253,0.000030606105],"domain_scores_gemma":[0.99939394,0.0003209842,0.00009578208,0.00004447226,0.00012339065,0.00002143208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097017287,0.0016930624,0.0021676053,0.0018832253,0.00040976235,0.0012644569,0.003098072,0.0015872378,0.0047159875],"category_scores_gemma":[0.0014383956,0.00073775754,0.0014323395,0.0029649693,0.00089161814,0.0019690373,0.0009793348,0.0015160606,0.002512466],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015725142,0.00022463848,0.0010929109,0.022305027,0.00029682158,0.0003985758,0.00011259814,0.072024204,0.0050178436,0.13193075,0.023351321,0.74308807],"study_design_scores_gemma":[0.000037708745,0.00031734954,0.0024543193,0.004020232,0.00046560736,0.0013044055,0.00013660532,0.091786854,0.0058702985,0.118672974,0.7747184,0.00021530854],"about_ca_topic_score_codex":0.0026393724,"about_ca_topic_score_gemma":0.002395867,"teacher_disagreement_score":0.0047159875,"about_ca_system_score_codex":0.001003817,"about_ca_system_score_gemma":0.0012726737,"threshold_uncertainty_score":0.015776515},"labels":[],"label_agreement":null},{"id":"W2517494055","doi":"10.1016/j.mineng.2016.08.013","title":"Understanding the effect of pressure profile on stirred mill impeller wear","year":2016,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Metso (Canada)","funders":"","keywords":"Impeller; Mill; Mechanical engineering; Engineering; Grinding; Power (physics); Metallurgy; Materials science; Physics; Thermodynamics","score_opus":0.019339733326927216,"score_gpt":0.20739707193799142,"score_spread":0.18805733861106422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517494055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99242353,0.0004227361,0.0055835717,0.00011502742,0.000017767261,0.000012464616,0.00010902674,0.00007728286,0.0012384994],"genre_scores_gemma":[0.9989341,0.00016785262,0.00056604925,0.000013872599,0.000004260782,0.0000023665439,0.00003917444,0.0000072991866,0.00026512807],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998549,0.00001298506,0.000007921531,0.00003345059,0.000057998812,0.000032656768],"domain_scores_gemma":[0.9994991,0.0002885341,0.00006156606,0.000031391864,0.00009313991,0.000026188716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025398488,0.00021422471,0.0002524357,0.0001915909,0.00019329997,0.0005163156,0.00028639007,0.00048177116,0.0014071522],"category_scores_gemma":[0.0009955316,0.00019805311,0.00024368038,0.00017814251,0.00019595923,0.0010228383,0.00017414404,0.0004640053,0.0002768227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005688028,0.00017818401,0.009930936,0.00014302872,0.000020959627,0.00017160401,0.00007396077,0.009214352,0.9528178,0.0001906967,0.00020020436,0.026489377],"study_design_scores_gemma":[0.000029657143,0.00078192557,0.10214016,0.000014186334,0.000043989457,0.00020480588,0.0002458728,0.11790782,0.7771926,0.00035296855,0.0010450477,0.000040955867],"about_ca_topic_score_codex":0.0013325276,"about_ca_topic_score_gemma":0.0016699368,"teacher_disagreement_score":0.0014071522,"about_ca_system_score_codex":0.000251792,"about_ca_system_score_gemma":0.00024079319,"threshold_uncertainty_score":0.004707396},"labels":[],"label_agreement":null},{"id":"W2522733411","doi":"10.1016/j.ijmst.2016.09.005","title":"Processing of measurement while drilling data for rock mass characterization","year":2016,"lang":"en","type":"article","venue":"International Journal of Mining Science and Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Drilling; Drill; Measurement while drilling; Torque; Rate of penetration; Petroleum engineering; Specific energy; Rock mass classification; Engineering; Directional drilling; Mechanical engineering; Drilling engineering; Penetration rate; Geotechnical engineering","score_opus":0.046115522385824184,"score_gpt":0.27495955771668984,"score_spread":0.22884403533086567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522733411","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41319707,0.0004029533,0.5536191,0.0003145691,0.00020839753,0.00042045675,0.012050483,0.012931163,0.006855777],"genre_scores_gemma":[0.70372725,0.00032024956,0.27829957,0.000117374395,0.00008417701,0.0003685846,0.012255868,0.00063658867,0.0041903574],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99960357,0.000020506139,0.00003122498,0.00006850696,0.00021206574,0.00006412946],"domain_scores_gemma":[0.9989681,0.00016006191,0.00010316049,0.0001846861,0.0005436988,0.00004021737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021151012,0.0008377958,0.0005132219,0.0021380302,0.00040841787,0.0005022886,0.0004930896,0.00045520478,0.0032612542],"category_scores_gemma":[0.0011809658,0.0002641245,0.00035515986,0.0017395961,0.00018338091,0.0005593341,0.00040866033,0.00044368135,0.0024553114],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042971718,0.00024951133,0.022666357,0.00026228934,0.000053185773,0.00041048974,0.0003281152,0.0053855684,0.6658096,0.0006633601,0.006546886,0.29719493],"study_design_scores_gemma":[0.000033897304,0.0004932483,0.12358444,0.00006235816,0.00012102725,0.00088366086,0.00078672345,0.1671017,0.6660136,0.0016527248,0.03915075,0.00011587699],"about_ca_topic_score_codex":0.0030323437,"about_ca_topic_score_gemma":0.0052975235,"teacher_disagreement_score":0.0032612542,"about_ca_system_score_codex":0.0001726058,"about_ca_system_score_gemma":0.0007308233,"threshold_uncertainty_score":0.010910034},"labels":[],"label_agreement":null},{"id":"W2525751721","doi":"10.11159/mmme16.121","title":"Influence of Pulsation Frequency in Iron Oxide Jigging","year":2016,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Instituto Federal Goiás; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de Goiás; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Materials science; Computer science","score_opus":0.004295354579958536,"score_gpt":0.18581459438805492,"score_spread":0.1815192398080964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2525751721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99765044,0.0005651736,0.0012068627,0.000020863677,0.000018359633,0.0000101771675,0.0000209648,0.000039408584,0.00046772795],"genre_scores_gemma":[0.9984459,0.0002233244,0.0009763399,0.000012652262,0.0000062063077,0.0000046386203,0.000025106274,0.00001121587,0.00029457323],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975246,0.000056853016,0.000016281905,0.000045071305,0.00008283772,0.00004644095],"domain_scores_gemma":[0.9991818,0.00050666515,0.00012524505,0.00003896552,0.00009847608,0.00004882997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039575394,0.00022914703,0.00022685553,0.00025683988,0.00023744573,0.0003570644,0.00014749616,0.00026296714,0.0007634763],"category_scores_gemma":[0.0011713493,0.00014493229,0.00016078971,0.00021677956,0.00027324609,0.00020596007,0.00017476949,0.00020943572,0.00013457455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086571334,0.00007997148,0.0046809083,0.00013171835,0.000011968134,0.00016826643,0.00014082361,0.0008415873,0.9820139,0.00004642151,0.000052640054,0.0109661985],"study_design_scores_gemma":[0.000019949119,0.002267418,0.033456262,0.000015490923,0.000037211717,0.0001778724,0.00015349289,0.0032199933,0.9595709,0.00005807405,0.0010094077,0.000014078521],"about_ca_topic_score_codex":0.00051124085,"about_ca_topic_score_gemma":0.000423767,"teacher_disagreement_score":0.0007634763,"about_ca_system_score_codex":0.00017077586,"about_ca_system_score_gemma":0.00012110909,"threshold_uncertainty_score":0.002554059},"labels":[],"label_agreement":null},{"id":"W2527716007","doi":"10.1016/j.minpro.2016.09.011","title":"A review of the applications of the JK size-dependent breakage model part 3: Comminution equipment modelling","year":2016,"lang":"en","type":"review","venue":"International Journal of Mineral Processing","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"BHP Billiton; Newcrest Mining; Barrick Gold Corporation","keywords":"Comminution; Breakage; Grinding; Mill; Process engineering; Crusher; Coal; Specific energy; Coke; Engineering; Mechanical engineering; Materials science; Metallurgy; Waste management; Composite material","score_opus":0.04127149680095379,"score_gpt":0.3134139540367849,"score_spread":0.27214245723583114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527716007","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002175276,0.92227066,0.06341267,0.00067041884,0.00076089276,0.00004259424,0.0005211074,0.00025086748,0.009895462],"genre_scores_gemma":[0.019180274,0.9508252,0.022157881,0.00023154648,0.00055591215,0.000055776305,0.00076282595,0.00012621576,0.006104365],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99961144,0.000053733707,0.000053940104,0.000085864165,0.0001732178,0.000021781554],"domain_scores_gemma":[0.99919933,0.00037728192,0.00009856763,0.00006358981,0.0002379249,0.000023310338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008106055,0.001675711,0.0017733782,0.0020224613,0.00028879553,0.0012239523,0.002741488,0.0015294789,0.0039349007],"category_scores_gemma":[0.0016052718,0.00079681,0.0014539888,0.0032914304,0.0004603728,0.0016679864,0.0007975328,0.0012820093,0.0029652696],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005796849,0.00014127854,0.0008023073,0.015024759,0.00017589777,0.00014208817,0.00007347504,0.092336684,0.0031590753,0.023597093,0.020636657,0.84385264],"study_design_scores_gemma":[0.000022955037,0.00018524565,0.0023473578,0.005698243,0.00034896546,0.0007559741,0.000119325356,0.09628185,0.0059445323,0.027851736,0.86026883,0.00017495638],"about_ca_topic_score_codex":0.004511934,"about_ca_topic_score_gemma":0.0037160534,"teacher_disagreement_score":0.004511934,"about_ca_system_score_codex":0.0007837961,"about_ca_system_score_gemma":0.0012740466,"threshold_uncertainty_score":0.013163507},"labels":[],"label_agreement":null},{"id":"W2547166585","doi":"10.1016/j.mineng.2016.10.019","title":"Technical and economic assessment of a non-conventional HPGR circuit","year":2016,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Process engineering; Environmental science; Engineering","score_opus":0.010058875440070912,"score_gpt":0.23176306389991982,"score_spread":0.2217041884598489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2547166585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92296475,0.00050028117,0.037373614,0.00032500998,0.00012059604,0.00044385443,0.00079724443,0.0007956733,0.03667891],"genre_scores_gemma":[0.98470926,0.00009675971,0.0067109107,0.000030105684,0.00001553736,0.00003929398,0.00015552576,0.000035185127,0.008207576],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99927586,0.00013637601,0.000014555294,0.00009253289,0.00041417085,0.000066462715],"domain_scores_gemma":[0.999204,0.00027479217,0.000053414045,0.00013128713,0.00027836696,0.000058239257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005095216,0.00035245557,0.00039683765,0.00075464725,0.00046819262,0.0009481284,0.0016579776,0.0009869316,0.011934146],"category_scores_gemma":[0.0011227642,0.00016742924,0.0004033848,0.0005354801,0.00045885541,0.001122005,0.00050062116,0.00046065706,0.0011047717],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007715249,0.0012734423,0.009474328,0.0018654476,0.00012360637,0.0011212905,0.00015282647,0.14539893,0.5357767,0.007511218,0.005131287,0.2844557],"study_design_scores_gemma":[0.0009955971,0.026572116,0.055315245,0.000118553035,0.0005508012,0.0021888404,0.0005622029,0.38594398,0.478689,0.0033948806,0.045535043,0.00013376496],"about_ca_topic_score_codex":0.002868941,"about_ca_topic_score_gemma":0.004226078,"teacher_disagreement_score":0.011934146,"about_ca_system_score_codex":0.0020887463,"about_ca_system_score_gemma":0.0007163576,"threshold_uncertainty_score":0.039923668},"labels":[],"label_agreement":null},{"id":"W2549247122","doi":"10.1515/htmp-2012-0101","title":"In-Situ Sensors for Liquid Metal Quality","year":2012,"lang":"en","type":"article","venue":"High Temperature Materials and Processes","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Materials science; Frit; Liquid metal; Metal; Molten metal; Porosity; Non-metallic inclusions; Ultrasonic sensor; Metallurgy; Aluminium; Casting; Composite material; Acoustics","score_opus":0.015168209749620834,"score_gpt":0.2594393209859815,"score_spread":0.24427111123636067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549247122","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3760141,0.014732545,0.56629616,0.0035190268,0.003081351,0.00035582893,0.002737879,0.0052204104,0.028042607],"genre_scores_gemma":[0.7902237,0.0033125617,0.17956674,0.001224162,0.00036980442,0.00018372582,0.0008199904,0.00014437,0.024154916],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990312,0.00023180454,0.000037365182,0.00022491213,0.0004142223,0.000060502247],"domain_scores_gemma":[0.9993303,0.00021127389,0.000105550695,0.000055812492,0.00026156454,0.000035542613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005798184,0.0005204106,0.0004229308,0.00056010956,0.00022355103,0.00061162206,0.0010617302,0.0009764903,0.0029816707],"category_scores_gemma":[0.0009288285,0.0002841181,0.00023295941,0.00044409346,0.00029654006,0.000890673,0.00055703236,0.0012065017,0.00080266123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007628875,0.000036313868,0.0006477219,0.0001634828,0.000013521446,0.000044568947,0.000055156474,0.00017297994,0.98376966,0.0005558645,0.00155924,0.012905159],"study_design_scores_gemma":[0.000016589485,0.00016498394,0.0011646127,0.000012609017,0.000032150816,0.00019887942,0.00008231048,0.007266619,0.9800479,0.00031877612,0.010675443,0.00001917299],"about_ca_topic_score_codex":0.00045371414,"about_ca_topic_score_gemma":0.00092553697,"teacher_disagreement_score":0.0029816707,"about_ca_system_score_codex":0.0005271045,"about_ca_system_score_gemma":0.00014288347,"threshold_uncertainty_score":0.0099746585},"labels":[],"label_agreement":null},{"id":"W2552898700","doi":"10.3897/rio.2.e11065","title":"A Data Management Plan for Effects of particle size on physical and chemical properties of mine wastes","year":2016,"lang":"en","type":"article","venue":"Research Ideas and Outcomes","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Plan (archaeology); Data management plan; Data management; Computer science; Data science; Business; Engineering management; Database; Engineering","score_opus":0.08181496984571782,"score_gpt":0.3393287497581413,"score_spread":0.2575137799124235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552898700","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0416319,0.00043399908,0.30663413,0.026782596,0.0015758255,0.042368755,0.26891333,0.07152992,0.24012952],"genre_scores_gemma":[0.14093553,0.0007819647,0.514098,0.0039089643,0.0004096598,0.028508883,0.22092241,0.0057181832,0.084716454],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950363,0.0009608683,0.00062250433,0.0006459445,0.0023654532,0.00036891326],"domain_scores_gemma":[0.9706956,0.0074017313,0.0027778288,0.005084325,0.011874118,0.0021663646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01330517,0.0011355246,0.00064626953,0.0052112364,0.0019467783,0.003908193,0.0026862717,0.0016058183,0.05754224],"category_scores_gemma":[0.023883032,0.0011359227,0.0010557324,0.0027256177,0.00067923736,0.004528735,0.0022037276,0.0021952009,0.016883502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089590286,0.002090026,0.01955927,0.000905286,0.00006462366,0.00036634863,0.0012422618,0.022862196,0.0061273035,0.02181329,0.6120967,0.31197673],"study_design_scores_gemma":[0.00064950023,0.00074217346,0.021304503,0.0004768471,0.000069541755,0.00013182692,0.0015970961,0.038633645,0.0168009,0.0154729085,0.9038077,0.00031334566],"about_ca_topic_score_codex":0.014655712,"about_ca_topic_score_gemma":0.010433289,"teacher_disagreement_score":0.05754224,"about_ca_system_score_codex":0.0035944972,"about_ca_system_score_gemma":0.009675232,"threshold_uncertainty_score":0.19249797},"labels":[],"label_agreement":null},{"id":"W2558502199","doi":"10.3390/min6040127","title":"Optimizing Performance of SABC Comminution Circuit of the Wushan Porphyry Copper Mine—A Practical Approach","year":2016,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Comminution; Crusher; Ball mill; Copper; Materials science; Metallurgy; Mineral processing; Short circuit; Environmental science; Automotive engineering; Voltage; Engineering; Electrical engineering","score_opus":0.03425421744930048,"score_gpt":0.23770101692345919,"score_spread":0.2034467994741587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558502199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9602035,0.00040467555,0.024322772,0.00028096157,0.000035183843,0.00010787901,0.00024146833,0.0011974353,0.013206045],"genre_scores_gemma":[0.99435365,0.00005857813,0.0042105024,0.000015121898,0.0000029034097,0.000014254292,0.00006300226,0.000032355903,0.0012496762],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979407,0.000019707339,0.000007045234,0.00003237088,0.0000972533,0.00004958258],"domain_scores_gemma":[0.99971205,0.00006197191,0.000036482823,0.000035897112,0.00013227091,0.000021315544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021395445,0.00037502722,0.00033354707,0.00038083308,0.00041481585,0.00058606954,0.0009485535,0.00038249642,0.0028618427],"category_scores_gemma":[0.00065710297,0.00016560777,0.00018632968,0.00041862647,0.00018805006,0.000580827,0.00024348158,0.00022385306,0.00045943007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011180256,0.00019655815,0.013306048,0.00090479717,0.00007467951,0.00051399885,0.00024713847,0.19068953,0.6817323,0.0019938813,0.0036825952,0.10554042],"study_design_scores_gemma":[0.00012454414,0.002330953,0.014353795,0.00003757023,0.000092187416,0.0003641652,0.0002584294,0.42539912,0.5398065,0.00067002245,0.016516333,0.00004636951],"about_ca_topic_score_codex":0.003459596,"about_ca_topic_score_gemma":0.00567136,"teacher_disagreement_score":0.003459596,"about_ca_system_score_codex":0.0012720174,"about_ca_system_score_gemma":0.0008884544,"threshold_uncertainty_score":0.009573877},"labels":[],"label_agreement":null},{"id":"W2561618735","doi":"10.1080/14749009.2016.1263008","title":"Increasing the value of heterogeneous ore deposits by high-resolution deposit-modelling and flexible extraction techniques","year":2016,"lang":"en","type":"article","venue":"Mining Technology Transactions of the Institutions of Mining and Metallurgy Section A","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Extraction (chemistry); Geology; Value (mathematics); Geochemistry; Mineralogy; Mathematics; Chemistry; Statistics; Chromatography","score_opus":0.014481713271430116,"score_gpt":0.22911998468671368,"score_spread":0.21463827141528358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561618735","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37690383,0.00013932823,0.6164979,0.0002589742,0.000016488322,0.00013634661,0.00036110383,0.0004171291,0.0052689244],"genre_scores_gemma":[0.9015742,0.00010488926,0.09729435,0.000017104927,0.000004445772,0.000040665735,0.000102841586,0.00003024356,0.0008312611],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998011,0.000048259597,0.000020608693,0.000044468998,0.000065446286,0.000020120853],"domain_scores_gemma":[0.99945,0.0002785452,0.000086184664,0.000100742305,0.00007236804,0.0000122467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005281795,0.0004467823,0.00045097026,0.0005843624,0.00029920245,0.001401192,0.00082757196,0.00050312094,0.000739863],"category_scores_gemma":[0.0016101119,0.00031051753,0.000544178,0.00080698787,0.00045021062,0.0015080235,0.00069081824,0.0004009213,0.00012775151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059046124,0.000048461654,0.005213929,0.00006242494,0.000026312513,0.00009453557,0.000081375474,0.95086426,0.012174508,0.002324605,0.00012359595,0.028927017],"study_design_scores_gemma":[0.000004863957,0.000011640452,0.00095540454,0.0000039704364,0.0000054201832,0.000020705686,0.000027161876,0.9945927,0.003079885,0.0010340153,0.0002564952,0.0000076147835],"about_ca_topic_score_codex":0.010755367,"about_ca_topic_score_gemma":0.014992641,"teacher_disagreement_score":0.010755367,"about_ca_system_score_codex":0.00084608025,"about_ca_system_score_gemma":0.00070862594,"threshold_uncertainty_score":0.02138549},"labels":[],"label_agreement":null},{"id":"W2568922911","doi":"10.1016/j.ijpharm.2017.01.005","title":"Experimental studies on the effect of moisture content and volume resistivity on electrostatic behaviour of pharmaceutical powders","year":2017,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan","keywords":"Electrical resistivity and conductivity; Water content; Volume (thermodynamics); Moisture; Materials science; Pharmaceutical technology; Chemistry; Mineralogy; Chemical engineering; Thermodynamics; Composite material; Chromatography; Geology; Geotechnical engineering; Physics","score_opus":0.07908636305364487,"score_gpt":0.39864898414899086,"score_spread":0.319562621095346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568922911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99602246,0.0007586318,0.0020175888,0.000056576602,0.00002606581,0.000030504525,0.0002165393,0.000031996038,0.0008395744],"genre_scores_gemma":[0.996521,0.0006491046,0.0020649317,0.000030711177,0.000024872472,0.000025476249,0.00017551507,0.000015024365,0.0004933305],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99944633,0.00013764027,0.00006332855,0.000093081355,0.0001813016,0.00007820182],"domain_scores_gemma":[0.9985121,0.00094035506,0.00018301801,0.00015990021,0.0001737668,0.000030730516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006036055,0.0003587987,0.00031059093,0.00020701536,0.00040844356,0.00023623378,0.00034659114,0.00048170643,0.002016197],"category_scores_gemma":[0.0015551917,0.00023555341,0.00039006877,0.0003701485,0.00040401422,0.00042447026,0.00022772,0.0005520473,0.00026148086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037988153,0.00012495312,0.00076499133,0.00015344292,0.00001589019,0.00010953769,0.00020269828,0.00027427168,0.9946944,0.00008621104,0.00005775297,0.003135923],"study_design_scores_gemma":[0.000012214897,0.000565778,0.0026775184,0.000005480514,0.00002239745,0.000105638814,0.0000679296,0.0005496266,0.9954609,0.0000293821,0.00049445784,0.000008615878],"about_ca_topic_score_codex":0.0003237743,"about_ca_topic_score_gemma":0.00036803275,"teacher_disagreement_score":0.002016197,"about_ca_system_score_codex":0.00014734534,"about_ca_system_score_gemma":0.00012520493,"threshold_uncertainty_score":0.006744802},"labels":[],"label_agreement":null},{"id":"W2570422248","doi":"10.1016/j.ijrmms.2016.12.005","title":"Confirmation of the upside-down drop shape theory in gravity flow and development of a new empirical equation to calculate the shape","year":2017,"lang":"en","type":"article","venue":"International Journal of Rock Mechanics and Mining Sciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"China Scholarship Council; University of British Columbia; National Natural Science Foundation of China","keywords":"Ellipsoid; Drop (telecommunication); Asymmetry; Geology; Basis (linear algebra); Extraction (chemistry); Mathematics; Geometry; Mechanics; Geotechnical engineering; Geodesy; Computer science; Physics; Chemistry","score_opus":0.058460649736828185,"score_gpt":0.3176125780498633,"score_spread":0.25915192831303513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570422248","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053205017,0.00025135948,0.9273494,0.0010035067,0.00050373946,0.00014474032,0.00021163037,0.00046761372,0.016863089],"genre_scores_gemma":[0.84318066,0.000609041,0.14081007,0.0004623366,0.00036591387,0.00019942166,0.00034275014,0.00029851694,0.013731294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991714,0.000075269214,0.000047825135,0.00016329098,0.00048577136,0.000056511453],"domain_scores_gemma":[0.99804485,0.0006899409,0.00012467804,0.0003253437,0.0007480796,0.000067070185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001020023,0.0007289109,0.00075159385,0.0014758495,0.0010421606,0.0011170417,0.0019805678,0.0015588491,0.0029864814],"category_scores_gemma":[0.005240708,0.00033808287,0.0012259983,0.000559712,0.002208721,0.002142148,0.0013329345,0.0024482359,0.0010218512],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105303254,0.00027637224,0.009932034,0.00022977851,0.00003383391,0.0010891344,0.00069372216,0.09386405,0.07671686,0.70130986,0.0061944546,0.10955455],"study_design_scores_gemma":[0.00004294112,0.00012743131,0.0053862673,0.000039137354,0.000026191216,0.0009402368,0.00014548269,0.8637356,0.03264858,0.08927856,0.007527538,0.00010198734],"about_ca_topic_score_codex":0.0033412534,"about_ca_topic_score_gemma":0.0019231115,"teacher_disagreement_score":0.0033412534,"about_ca_system_score_codex":0.0007288699,"about_ca_system_score_gemma":0.0017142083,"threshold_uncertainty_score":0.009990811},"labels":[],"label_agreement":null},{"id":"W2581523989","doi":"10.1016/b978-0-08-097053-0.00007-8","title":"Grinding Mills","year":2015,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Hatch (Canada)","funders":"","keywords":"Grinding; Comminution; Mill; Ball mill; Abrasion (mechanical); Materials science; Metallurgy; Composite material; Pulverizer; Mechanical engineering; Engineering","score_opus":0.027084520563331087,"score_gpt":0.23314961050502772,"score_spread":0.20606508994169664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2581523989","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016557047,0.008226015,0.012119766,0.00042826895,0.00059410307,0.0000816706,0.0005211838,0.0012631543,0.97511],"genre_scores_gemma":[0.0024912492,0.002761173,0.0045304657,0.00008848895,0.000044001998,0.000016025442,0.00035856199,0.00026325395,0.98944676],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950755,0.000018026209,0.000022797047,0.00010709965,0.00031187473,0.00003275997],"domain_scores_gemma":[0.99981874,0.000028934612,0.000009584834,0.000037473466,0.00009058564,0.00001480558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003234439,0.0017048735,0.000853841,0.0032883706,0.0014538468,0.0030168376,0.0012725403,0.0010565227,0.278171],"category_scores_gemma":[0.0005851371,0.00088048965,0.00054583955,0.0031244964,0.00051968294,0.0024598248,0.0017424421,0.0021397176,0.14142926],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003739501,0.00009206689,0.00020110427,0.00051657483,0.0000065816853,0.00018755905,0.0003108015,0.0005132533,0.006760103,0.028007152,0.20137002,0.76199746],"study_design_scores_gemma":[0.0000040797863,0.000017519362,0.00046343353,0.000117434225,0.0000042039933,0.00026923418,0.00007514227,0.00023338798,0.0021905063,0.004574941,0.9920438,0.0000063397033],"about_ca_topic_score_codex":0.0019033344,"about_ca_topic_score_gemma":0.010168103,"teacher_disagreement_score":0.278171,"about_ca_system_score_codex":0.00077391276,"about_ca_system_score_gemma":0.0009496807,"threshold_uncertainty_score":0.9305747},"labels":[],"label_agreement":null},{"id":"W2584486467","doi":"10.1016/b978-0-08-097053-0.00004-2","title":"Particle Size Analysis","year":2015,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Hatch (Canada)","funders":"","keywords":"Grinding; Particle size; Gangue; Process engineering; Range (aeronautics); Materials science; Concentrator; Mill; Particle-size distribution; Environmental science; Mechanical engineering; Metallurgy; Computer science; Engineering; Composite material; Chemical engineering; Telecommunications","score_opus":0.023120566871164844,"score_gpt":0.2362279503570009,"score_spread":0.21310738348583605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2584486467","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.106544495,0.006939323,0.51101536,0.00046967267,0.0013192297,0.0014368036,0.03237796,0.027091937,0.31280532],"genre_scores_gemma":[0.18232048,0.0056054527,0.32707384,0.0007446609,0.0002887792,0.0020298806,0.040417135,0.0068086456,0.43471107],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986267,0.000040618954,0.00008380632,0.00044527397,0.0007092626,0.00009438859],"domain_scores_gemma":[0.99942577,0.000093009345,0.00004151574,0.00009557773,0.00032092797,0.000023191325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010352293,0.0013187106,0.0011319746,0.0063583655,0.0012768004,0.0015090067,0.0013132404,0.00074692315,0.0465552],"category_scores_gemma":[0.0010898707,0.0007534972,0.0010765479,0.0031559467,0.00049269025,0.0012876464,0.0014615685,0.0012587713,0.023533076],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022234829,0.00018090152,0.004417159,0.0006148584,0.0001287397,0.00018634553,0.00040992186,0.0021267561,0.3748178,0.007536457,0.033982795,0.575376],"study_design_scores_gemma":[0.000028933244,0.00024916042,0.024824271,0.00017200048,0.00023841806,0.00078645564,0.0002901776,0.02371966,0.6339444,0.0036397222,0.31194875,0.00015804858],"about_ca_topic_score_codex":0.0033245934,"about_ca_topic_score_gemma":0.0068550464,"teacher_disagreement_score":0.0465552,"about_ca_system_score_codex":0.00079231185,"about_ca_system_score_gemma":0.0010504273,"threshold_uncertainty_score":0.15574265},"labels":[],"label_agreement":null},{"id":"W2584827072","doi":"10.1016/j.hydromet.2017.01.007","title":"Solution flow behavior in response to key operating parameters in heap leaching","year":2017,"lang":"en","type":"article","venue":"Hydrometallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Heap leaching; Heap (data structure); Bioleaching; Moisture; Leaching (pedology); Irrigation; Chemistry; Water content; Soil science; Copper; Environmental science; Geology; Geotechnical engineering; Soil water; Mathematics; Algorithm","score_opus":0.02832011014481239,"score_gpt":0.27221405254277437,"score_spread":0.24389394239796197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2584827072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99781346,0.00012746316,0.0009086519,0.000057406145,0.000014832414,0.0000091841675,0.000454813,0.00009618121,0.0005178547],"genre_scores_gemma":[0.9978173,0.00010227,0.00066978484,0.000028906503,0.000005357532,0.000011370239,0.0003331641,0.000019014926,0.0010128734],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998454,0.000015882084,0.000012174556,0.00003828077,0.000035654313,0.000052626972],"domain_scores_gemma":[0.9996681,0.00014671693,0.000060537128,0.000016912501,0.000079981364,0.000027758822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023851192,0.0001987974,0.00025762935,0.00023086084,0.0002661021,0.00054404547,0.0002597123,0.00040982035,0.0026664853],"category_scores_gemma":[0.000674516,0.00013178185,0.00018290104,0.00026529326,0.00037153435,0.0005301034,0.00017816952,0.00039081823,0.00034478534],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025491824,0.00013073457,0.0040971884,0.00007874373,0.000019088706,0.00012527259,0.0001967592,0.0020521332,0.9795716,0.00020575538,0.0004360417,0.01053771],"study_design_scores_gemma":[0.000027374977,0.00053235254,0.00993509,0.000009433024,0.000015824124,0.000052554766,0.0001815187,0.012298662,0.97586966,0.0001398275,0.0009116638,0.000026118023],"about_ca_topic_score_codex":0.002353656,"about_ca_topic_score_gemma":0.0018806359,"teacher_disagreement_score":0.0026664853,"about_ca_system_score_codex":0.00038340763,"about_ca_system_score_gemma":0.00035132203,"threshold_uncertainty_score":0.008920252},"labels":[],"label_agreement":null},{"id":"W2593216573","doi":"","title":"Application of the Inverse Problem to Stress Measurement Interpretation in Anisotropic Rock","year":2016,"lang":"en","type":"article","venue":"ISRM International Symposium on In-Situ Rock Stress","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Interpretation (philosophy); Geology; Inverse problem; Anisotropy; Stress (linguistics); Inverse; Mathematics; Computer science; Mathematical analysis; Geometry; Physics; Optics","score_opus":0.00934856385921145,"score_gpt":0.22381108584658407,"score_spread":0.21446252198737262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593216573","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01625928,0.00007545333,0.98226595,0.00014938078,0.00001822938,0.000013756229,0.00002737175,0.00016761954,0.0010229485],"genre_scores_gemma":[0.4430369,0.00032075774,0.5538819,0.000078542645,0.0000703052,0.000058033576,0.00012634207,0.00017617173,0.0022510393],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995534,0.00015302259,0.000026044037,0.000067262255,0.00017536849,0.000024793702],"domain_scores_gemma":[0.99898285,0.00067533436,0.000069749534,0.00011398451,0.00013845014,0.00001958391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073325273,0.0005328714,0.0006442579,0.0006196975,0.00033209604,0.001155012,0.00054075255,0.000876162,0.0013180998],"category_scores_gemma":[0.0032361571,0.00044243142,0.00054996205,0.00049933535,0.001052158,0.00081926584,0.0008817204,0.000811371,0.00026716245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025427766,0.00013319073,0.0022164334,0.0004538974,0.00010534777,0.00049214094,0.0006399969,0.33587974,0.16160996,0.032135032,0.0015760125,0.46450406],"study_design_scores_gemma":[0.00001821409,0.000043860582,0.0010535006,0.000015100788,0.000015658028,0.00030561083,0.00010422993,0.9620088,0.016751135,0.017428407,0.0022319127,0.000023526858],"about_ca_topic_score_codex":0.0014244831,"about_ca_topic_score_gemma":0.0016867693,"teacher_disagreement_score":0.0014244831,"about_ca_system_score_codex":0.0002345078,"about_ca_system_score_gemma":0.0006992808,"threshold_uncertainty_score":0.004409492},"labels":[],"label_agreement":null},{"id":"W2593527715","doi":"","title":"Elektrokemisk fjernelse af cadmium fra bioasker: Rapport BYG.DTU R-101","year":2004,"lang":"da","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kruger (Canada)","funders":"","keywords":"Cadmium; Materials science; Metallurgy","score_opus":0.015422443541843115,"score_gpt":0.22229226149835882,"score_spread":0.2068698179565157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593527715","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08336343,0.2520658,0.022270963,0.11756053,0.07026498,0.0007770687,0.008619999,0.0014056907,0.44367155],"genre_scores_gemma":[0.07434246,0.03351638,0.00524709,0.0021851463,0.0031400337,0.000097241,0.0020631047,0.00056124735,0.8788472],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99917006,0.00016294667,0.00004230562,0.00016712246,0.0002793255,0.00017825195],"domain_scores_gemma":[0.99894446,0.0002842147,0.00005190928,0.00005596317,0.00033365499,0.00032980807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021134275,0.00088074896,0.0007890738,0.0008057853,0.001201604,0.0021111327,0.0008596833,0.0026798383,0.07197749],"category_scores_gemma":[0.0008128847,0.0003903171,0.00046643597,0.00055114116,0.0006451529,0.0012760473,0.0024374921,0.0022179268,0.02374799],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028805444,0.0003298802,0.0013820153,0.0019585767,0.00009453881,0.0021379488,0.0016429744,0.0019972825,0.083440594,0.02144818,0.5995155,0.283172],"study_design_scores_gemma":[0.00005503832,0.00024017108,0.0015176762,0.00014628618,0.000020960133,0.00063404354,0.000271712,0.00032833096,0.04068186,0.0013509605,0.9547227,0.00003033947],"about_ca_topic_score_codex":0.004004644,"about_ca_topic_score_gemma":0.006612047,"teacher_disagreement_score":0.07197749,"about_ca_system_score_codex":0.0012796134,"about_ca_system_score_gemma":0.0019337189,"threshold_uncertainty_score":0.2407887},"labels":[],"label_agreement":null},{"id":"W2594345915","doi":"","title":"Block Size Distributions as a Rockmass Classification Tool","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Queen's University","funders":"","keywords":"Block (permutation group theory); Geology; Computer science; Mathematics; Geometry","score_opus":0.010090670419759628,"score_gpt":0.21434562114043992,"score_spread":0.20425495072068028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594345915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22239025,0.0005561903,0.74250406,0.00016530689,0.00006141805,0.00022374064,0.0075211516,0.016593639,0.009984296],"genre_scores_gemma":[0.7184192,0.00020638628,0.27048475,0.000043445933,0.000049729984,0.00018778912,0.0060425973,0.00072082,0.0038452498],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995511,0.000060708273,0.000046949353,0.000078336925,0.00022000955,0.000042847954],"domain_scores_gemma":[0.99616456,0.0019910126,0.0004625893,0.0002707326,0.0009673059,0.00014375977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007957098,0.00040805282,0.00046490986,0.0053239064,0.0003208233,0.0008284931,0.0005119284,0.00030728834,0.0052485443],"category_scores_gemma":[0.0052031223,0.00026332142,0.00032435515,0.0020230503,0.00018975559,0.0010858844,0.0004887622,0.0004107473,0.0023088283],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008111413,0.00019743713,0.077385545,0.00018702564,0.00011822769,0.00012598265,0.00016757725,0.04828118,0.036068305,0.0070730746,0.013570161,0.81601435],"study_design_scores_gemma":[0.000059976654,0.00016694442,0.0561347,0.000049459682,0.000066817425,0.00024889928,0.00014904099,0.88981354,0.029896846,0.008517719,0.014834156,0.000061912935],"about_ca_topic_score_codex":0.004054727,"about_ca_topic_score_gemma":0.006701051,"teacher_disagreement_score":0.0053239064,"about_ca_system_score_codex":0.0003383926,"about_ca_system_score_gemma":0.00045667557,"threshold_uncertainty_score":0.017558157},"labels":[],"label_agreement":null},{"id":"W2594522244","doi":"10.1190/tle36030215.1","title":"Machine learning as a tool for geologists","year":2017,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"GDG Environnement","funders":"","keywords":"Drill; Drill hole; Geology; Machine learning; Artificial intelligence; Core (optical fiber); Computer science; Mining engineering; Engineering; Mechanical engineering","score_opus":0.029161931889552597,"score_gpt":0.2829723829765129,"score_spread":0.2538104510869603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594522244","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002983613,0.08227444,0.65833557,0.19643761,0.0085454155,0.000111817586,0.000738459,0.0046940385,0.04587903],"genre_scores_gemma":[0.13202628,0.073005676,0.7102025,0.023505216,0.024347758,0.00068513054,0.0010742842,0.0014661783,0.033686936],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9951769,0.0026670448,0.0004199019,0.00039351897,0.0012317403,0.00011089565],"domain_scores_gemma":[0.96822214,0.025127903,0.0008806934,0.0024729804,0.002065541,0.0012307143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012224756,0.0015259578,0.0015496698,0.005615407,0.0009473907,0.007916121,0.0026314098,0.0045745913,0.009478852],"category_scores_gemma":[0.029786555,0.0006350254,0.00063186494,0.0029892183,0.0075463983,0.012614053,0.0039134608,0.007708311,0.005316765],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088819084,0.00017292179,0.0018292657,0.00087737996,0.000115037714,0.00027882465,0.00073896185,0.007438171,0.0009935421,0.5040324,0.16761656,0.3158181],"study_design_scores_gemma":[0.000025635989,0.000056970985,0.00036248218,0.0005507462,0.000013607369,0.0001365334,0.0002849295,0.016167857,0.00044219758,0.7836949,0.19822079,0.000043326647],"about_ca_topic_score_codex":0.0007866747,"about_ca_topic_score_gemma":0.0005604917,"teacher_disagreement_score":0.012224756,"about_ca_system_score_codex":0.0014061299,"about_ca_system_score_gemma":0.0017868283,"threshold_uncertainty_score":0.06465143},"labels":[],"label_agreement":null},{"id":"W2597473532","doi":"10.1016/j.elstat.2017.03.005","title":"An overview of advances in understanding electrostatic charge buildup in gas-solid fluidized beds","year":2017,"lang":"en","type":"article","venue":"Journal of Electrostatics","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Science Foundation","keywords":"Triboelectric effect; Fluidization; Fluidized bed; Process engineering; Charge (physics); Particle (ecology); Key (lock); Nanotechnology; Computer science; Engineering; Materials science; Waste management; Physics","score_opus":0.056001263313133244,"score_gpt":0.356366574613436,"score_spread":0.30036531130030275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597473532","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012309856,0.93274546,0.04539651,0.0007096561,0.0003517372,0.000043654563,0.00020140862,0.00023437943,0.008007346],"genre_scores_gemma":[0.06183608,0.8949095,0.037473384,0.00034470932,0.00067601923,0.00005778068,0.00035999622,0.00005389934,0.0042886673],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99976355,0.000029297082,0.000024222254,0.00005742598,0.00009666945,0.000028938588],"domain_scores_gemma":[0.9997528,0.000111678826,0.000025326159,0.00001572408,0.00008052306,0.000013776003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065717625,0.0007878093,0.0009597176,0.0011855576,0.0003422809,0.0014173939,0.0009965223,0.00093731284,0.0016840053],"category_scores_gemma":[0.0006007774,0.0005540866,0.00064671127,0.0012482789,0.00041724855,0.002216224,0.00075410056,0.0010747459,0.000792584],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003976847,0.00030409015,0.0023159597,0.018945243,0.00025625108,0.00048561633,0.00029712153,0.022827204,0.14938253,0.04172514,0.009172972,0.7538901],"study_design_scores_gemma":[0.00003143148,0.0006954719,0.0049407273,0.0023592964,0.00032212515,0.0016067997,0.00032883207,0.056116097,0.19291534,0.025884314,0.7145887,0.00021086475],"about_ca_topic_score_codex":0.0012387773,"about_ca_topic_score_gemma":0.0015524286,"teacher_disagreement_score":0.0016840053,"about_ca_system_score_codex":0.0007880323,"about_ca_system_score_gemma":0.000598046,"threshold_uncertainty_score":0.005717635},"labels":[],"label_agreement":null},{"id":"W2607109699","doi":"10.1088/1755-1315/61/1/012081","title":"Measurement of water content in high water-cut oil-wells based on rayleigh scattering","year":2017,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Husky Energy (Canada)","funders":"","keywords":"Rayleigh scattering; Scattering; Electromagnetic radiation; Wavelength; Water content; Optics; Materials science; Oil well; Environmental science; Petroleum engineering; Acoustics; Geology; Physics; Geotechnical engineering","score_opus":0.02685079079552495,"score_gpt":0.19144079986354728,"score_spread":0.16459000906802235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607109699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83524734,0.0008202305,0.1603844,0.00008292801,0.00003070939,0.00005902366,0.00025473174,0.0004971796,0.0026234502],"genre_scores_gemma":[0.9428502,0.0004855869,0.055627253,0.000035688157,0.000009835118,0.000043138916,0.00013156104,0.0000341763,0.0007824776],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994906,0.000050265106,0.000019195504,0.00012272668,0.00027297004,0.000044234857],"domain_scores_gemma":[0.9996624,0.00011522304,0.00005995534,0.000025415759,0.00011651723,0.000020436475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034680017,0.00046906437,0.0002750624,0.0007530259,0.0002196652,0.00029010774,0.00038335958,0.00032504607,0.00048859196],"category_scores_gemma":[0.0004978454,0.0002071589,0.00021323738,0.0005653282,0.00048840034,0.00092892814,0.000576384,0.00029944873,0.00020692559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005006188,0.000014094891,0.0016666786,0.000043218024,0.0000075329485,0.000051023275,0.000066442575,0.00048137273,0.9919253,0.00019454205,0.000037780836,0.005461999],"study_design_scores_gemma":[0.0000060303337,0.00010398741,0.004189972,0.0000069015655,0.000015692236,0.00012769803,0.00011748062,0.01161954,0.98312956,0.00020791523,0.00044743263,0.000027849379],"about_ca_topic_score_codex":0.0007963265,"about_ca_topic_score_gemma":0.0013271195,"teacher_disagreement_score":0.0007963265,"about_ca_system_score_codex":0.0002870004,"about_ca_system_score_gemma":0.00016600237,"threshold_uncertainty_score":0.0020822883},"labels":[],"label_agreement":null},{"id":"W2609178330","doi":"10.36487/acg_rep/1410_41_verma","title":"Geostatistical interpolation of estimated RQD values and its use in geomechanics design considerations – a case study","year":2014,"lang":"en","type":"article","venue":"Deep mining","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geomechanics; Geostatistics; Interpolation (computer graphics); Geology; Kriging; Rock mass classification; Geotechnical engineering; Computer science; Spatial variability; Statistics; Mathematics; Machine learning","score_opus":0.06754516209056241,"score_gpt":0.2932145947433066,"score_spread":0.22566943265274417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609178330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64726216,0.00020879233,0.34465533,0.00020985855,0.0000140683105,0.00037186733,0.0004670422,0.00047994286,0.0063310275],"genre_scores_gemma":[0.8518991,0.00012157517,0.14671054,0.000008479139,0.00000324287,0.000093058945,0.00014821308,0.000034874345,0.0009808892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99856323,0.00064941775,0.000093241906,0.0001090175,0.0005029127,0.00008226883],"domain_scores_gemma":[0.9965049,0.0022515906,0.00022824232,0.00044050152,0.00052964233,0.0000450831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029293937,0.00048020543,0.00043650705,0.0012899732,0.00046908806,0.0006911756,0.0007571952,0.00086939597,0.0011817158],"category_scores_gemma":[0.0045083887,0.0002854605,0.0008009349,0.0018621508,0.0005985955,0.0003166225,0.00053020625,0.00038928346,0.00017791554],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004115431,0.000445529,0.031271994,0.00032730008,0.000053393087,0.001998659,0.0010184118,0.79203314,0.012066124,0.0077293147,0.00074340595,0.15190122],"study_design_scores_gemma":[0.000045655317,0.0005669531,0.015006359,0.00004629024,0.000033828255,0.00043199604,0.0008073054,0.960763,0.016320402,0.0018888534,0.0040343893,0.000055006996],"about_ca_topic_score_codex":0.025524365,"about_ca_topic_score_gemma":0.030703044,"teacher_disagreement_score":0.025524365,"about_ca_system_score_codex":0.0010592807,"about_ca_system_score_gemma":0.0012591034,"threshold_uncertainty_score":0.050751626},"labels":[],"label_agreement":null},{"id":"W2611777118","doi":"","title":"A Dynamic Ball Compression Test for Understanding Rock Crushing","year":2015,"lang":"en","type":"article","venue":"13th ISRM International Congress of Rock Mechanics","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Compression test; Geology; Compression (physics); Materials science; Composite material","score_opus":0.05213120897428845,"score_gpt":0.284519855409113,"score_spread":0.23238864643482457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611777118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88228315,0.0010868128,0.09380164,0.00022255133,0.00019744916,0.00046930523,0.0014348133,0.00159651,0.01890775],"genre_scores_gemma":[0.9845184,0.0002819437,0.010435711,0.00005921658,0.000019920908,0.000087303204,0.00043038419,0.000059613052,0.0041073677],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993181,0.000029023764,0.00002677696,0.000103144586,0.00045157305,0.00007129064],"domain_scores_gemma":[0.99907243,0.0002342163,0.000078983685,0.000084616964,0.0004413464,0.00008835544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037936142,0.0008416753,0.0006105696,0.001976534,0.00076670403,0.0005694426,0.0013125489,0.000979816,0.006908286],"category_scores_gemma":[0.0008548672,0.00035002307,0.00026841706,0.0008405713,0.0006621381,0.0010008276,0.0005683616,0.00064330414,0.0012769932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006274856,0.0002459121,0.012248861,0.00021580602,0.00001541244,0.00045396833,0.00016324542,0.002564305,0.93090063,0.00054570916,0.0009663188,0.05105237],"study_design_scores_gemma":[0.000087861765,0.003143456,0.098492175,0.00006187456,0.00007988987,0.0015011564,0.0006358764,0.120371215,0.7666153,0.00070404634,0.008183141,0.00012410931],"about_ca_topic_score_codex":0.0053380122,"about_ca_topic_score_gemma":0.009781963,"teacher_disagreement_score":0.006908286,"about_ca_system_score_codex":0.00043916254,"about_ca_system_score_gemma":0.0006634349,"threshold_uncertainty_score":0.023110569},"labels":[],"label_agreement":null},{"id":"W2614046761","doi":"10.1016/j.hydromet.2017.05.001","title":"Application of aerial image analysis for assessing particle size segregation in dump leaching","year":2017,"lang":"en","type":"article","venue":"Hydrometallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Leaching (pedology); Particle-size distribution; Particle size; Sieve analysis; Sauter mean diameter; Chemistry; Mineralogy; Environmental science; Geology; Geotechnical engineering; Soil science; Soil water; Engineering","score_opus":0.017256380798400965,"score_gpt":0.2816673201409554,"score_spread":0.26441093934255444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614046761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87852913,0.0010911532,0.10718778,0.00011410567,0.000052338826,0.00019062999,0.0018021679,0.0015423192,0.009490466],"genre_scores_gemma":[0.8974208,0.000500636,0.099688835,0.000043383225,0.000014105616,0.000045348268,0.0004067067,0.000072568815,0.0018076258],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998853,0.0000122786805,0.0000051405627,0.000026699772,0.00005340741,0.000017164946],"domain_scores_gemma":[0.99975866,0.000046375644,0.000027193868,0.000016477437,0.00013747557,0.000013781654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019431743,0.00035381585,0.00020198802,0.0024487786,0.00023499483,0.0004611278,0.0002588572,0.00037389077,0.0014413691],"category_scores_gemma":[0.00026893013,0.00019609512,0.00025602034,0.0009838176,0.000139524,0.0002455073,0.00025082254,0.00019503152,0.0003544639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029226922,0.00009320351,0.027328692,0.0002478747,0.000085306776,0.00030443334,0.0001733338,0.0046209763,0.7802359,0.000300141,0.00103371,0.18528426],"study_design_scores_gemma":[0.000042287476,0.00025685076,0.20791341,0.000045332894,0.00022074115,0.001066236,0.0005883644,0.19552495,0.5882514,0.00040764178,0.0056028296,0.00007993521],"about_ca_topic_score_codex":0.0061928844,"about_ca_topic_score_gemma":0.0106216585,"teacher_disagreement_score":0.0061928844,"about_ca_system_score_codex":0.0002493195,"about_ca_system_score_gemma":0.0002494465,"threshold_uncertainty_score":0.012313664},"labels":[],"label_agreement":null},{"id":"W2618764403","doi":"10.36487/acg_rep/1308_05_hadjigeorgiou","title":"Reliability of strength estimates based on limited laboratory data","year":2013,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Computer science; Engineering; Physics","score_opus":0.018285738470567785,"score_gpt":0.23738069792373476,"score_spread":0.21909495945316698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618764403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78127444,0.002282748,0.20373172,0.00030692792,0.00017672061,0.00022793272,0.0019921667,0.0008912415,0.009116178],"genre_scores_gemma":[0.98631305,0.00020687544,0.011890149,0.00006303354,0.00004074932,0.00006887255,0.0011139002,0.00004129278,0.0002619576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.95924324,0.01801099,0.0040635616,0.0068225064,0.010941197,0.0009185569],"domain_scores_gemma":[0.6341091,0.24723645,0.038935244,0.04678026,0.03167905,0.0012599474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04865438,0.00094236364,0.0014294138,0.0047328277,0.00049306935,0.0025104878,0.0029076778,0.0014948843,0.0010694248],"category_scores_gemma":[0.21802074,0.0006872261,0.0011023023,0.0022524968,0.0026828824,0.0033346608,0.0022551506,0.0010493937,0.0010028334],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002124705,0.00034406764,0.7375135,0.0011186881,0.0021733532,0.00057134306,0.0013266703,0.09656939,0.013943264,0.0050593046,0.0023298897,0.13692585],"study_design_scores_gemma":[0.00020996484,0.0031355533,0.5750218,0.00088662416,0.0010019268,0.0016023318,0.0022078569,0.33585012,0.047404405,0.021654628,0.010474712,0.00055004307],"about_ca_topic_score_codex":0.0023294862,"about_ca_topic_score_gemma":0.0021979911,"teacher_disagreement_score":0.04865438,"about_ca_system_score_codex":0.00081626733,"about_ca_system_score_gemma":0.0007970333,"threshold_uncertainty_score":0.257312},"labels":[],"label_agreement":null},{"id":"W2620794769","doi":"10.1002/cjce.22910","title":"Grade efficiency for sieve classification processes","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Sieve (category theory); Sensitivity (control systems); Process (computing); Work (physics); Computer science; Particle (ecology); Sieve analysis; Process engineering; Mathematics; Engineering; Mechanical engineering","score_opus":0.02655517328627294,"score_gpt":0.23095505747796616,"score_spread":0.20439988419169322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620794769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9082208,0.0005670136,0.08640076,0.00005422106,0.000014639512,0.0001299364,0.00048513446,0.000452835,0.0036746215],"genre_scores_gemma":[0.99509734,0.0001042819,0.004052457,0.0000074355926,9.594969e-7,0.000015487856,0.00016606516,0.000025750114,0.0005302082],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982613,0.0003085806,0.000104331906,0.00023143028,0.00095792173,0.00013637924],"domain_scores_gemma":[0.99641466,0.0022332305,0.0003548479,0.0004300348,0.00053201965,0.000035249883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002250412,0.0004986751,0.0005698427,0.0014673413,0.00024309168,0.0011042845,0.00073582557,0.00060489296,0.0012650195],"category_scores_gemma":[0.0058636875,0.00023078776,0.0007891621,0.0011197142,0.00047027535,0.00079202873,0.00040028736,0.00047046348,0.00041059504],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093800365,0.00023757124,0.01819895,0.0004038663,0.0000807682,0.000118399104,0.00014940822,0.71819484,0.18134826,0.0020246971,0.00034229775,0.07796279],"study_design_scores_gemma":[0.00001421236,0.00066486275,0.026067201,0.000028610813,0.000045397308,0.00006596601,0.000057191923,0.64473635,0.3259884,0.0010228861,0.0012633397,0.00004563683],"about_ca_topic_score_codex":0.0044623683,"about_ca_topic_score_gemma":0.0024386982,"teacher_disagreement_score":0.0044623683,"about_ca_system_score_codex":0.00132302,"about_ca_system_score_gemma":0.00024174602,"threshold_uncertainty_score":0.011901498},"labels":[],"label_agreement":null},{"id":"W2621081139","doi":"","title":"The influence of the quality of ferrosilicon on the rheology of dense medium and the ability to reach higher densities","year":2006,"lang":"en","type":"article","venue":"Journal of the Southern African Institute of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Iron Ore Company (Canada)","funders":"","keywords":"Ferrosilicon; Beneficiation; Drum; Iron ore; Metallurgy; Process engineering; Materials science; Environmental science; Engineering; Waste management; Mechanical engineering","score_opus":0.015526249031717822,"score_gpt":0.22991970230748712,"score_spread":0.2143934532757693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621081139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99620456,0.00060792564,0.0010033663,0.00006418975,0.000022045817,0.000010695089,0.00006760407,0.00003862573,0.0019810104],"genre_scores_gemma":[0.9981919,0.00021371638,0.0005726669,0.000014389314,0.0000054923275,0.00000406334,0.000069471615,0.000021935686,0.0009065318],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981135,0.000035517052,0.000013192618,0.00002967207,0.00006158395,0.000048578702],"domain_scores_gemma":[0.99893457,0.00052094413,0.00016395362,0.00005739035,0.00020783435,0.00011529066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038735868,0.00023336292,0.00016386936,0.00030901493,0.00020867983,0.0005273226,0.00018452786,0.00026060577,0.003225368],"category_scores_gemma":[0.001805689,0.00018519114,0.00014478077,0.00022221923,0.00035949392,0.00043787254,0.00022264084,0.00043497412,0.00045804714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006160165,0.00004445136,0.0037465675,0.000080143276,0.0000120238,0.0001473102,0.00009933372,0.0005940288,0.9875916,0.00013453331,0.000105024745,0.00682909],"study_design_scores_gemma":[0.00001747488,0.00077861064,0.019755239,0.000014466929,0.000023085064,0.00015079648,0.00010449112,0.0015705248,0.9763956,0.00004860095,0.0011296602,0.000011531161],"about_ca_topic_score_codex":0.00081103394,"about_ca_topic_score_gemma":0.001250616,"teacher_disagreement_score":0.003225368,"about_ca_system_score_codex":0.0001823821,"about_ca_system_score_gemma":0.00014912657,"threshold_uncertainty_score":0.010789871},"labels":[],"label_agreement":null},{"id":"W2621232337","doi":"","title":"Evaluating Uncertainty in Intact and Rockmass Parameters for the Purposes of Reliability Assessment","year":2013,"lang":"en","type":"article","venue":"47th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Environmental science; Risk analysis (engineering); Computer science; Forensic engineering; Engineering; Business","score_opus":0.025267803974054412,"score_gpt":0.2816916352196608,"score_spread":0.25642383124560636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621232337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49581233,0.001640794,0.49243978,0.00037685447,0.00006285036,0.0001372422,0.00117436,0.00054208125,0.007813754],"genre_scores_gemma":[0.97548133,0.0002237697,0.023317078,0.000024418794,0.000021679953,0.000034620287,0.00041216917,0.000049250517,0.00043563163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963743,0.0012234619,0.00019928746,0.00032545027,0.0017327685,0.00014470471],"domain_scores_gemma":[0.98007286,0.014546928,0.0013324977,0.0012955356,0.002557704,0.00019451797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063999323,0.0010077918,0.00068904296,0.0027193825,0.00042298017,0.0013913831,0.00079183857,0.0009545029,0.0010672255],"category_scores_gemma":[0.04243672,0.00029970176,0.0006563003,0.0012969787,0.00060351955,0.0019805592,0.000866603,0.0007107737,0.00023408269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035915498,0.00007441066,0.032910746,0.00015089219,0.00024429607,0.0001423589,0.00014582022,0.8700501,0.0065138224,0.007062779,0.0007033211,0.08164231],"study_design_scores_gemma":[0.00002153652,0.0003538457,0.018365696,0.00006821257,0.00012250718,0.00015353714,0.00015657299,0.94966257,0.010391257,0.018878829,0.0017570256,0.00006844951],"about_ca_topic_score_codex":0.0050894716,"about_ca_topic_score_gemma":0.0067591406,"teacher_disagreement_score":0.0063999323,"about_ca_system_score_codex":0.0008169373,"about_ca_system_score_gemma":0.0012462283,"threshold_uncertainty_score":0.033846438},"labels":[],"label_agreement":null},{"id":"W2625335800","doi":"","title":"Grinding for the Common Good and Getting Roasted","year":2015,"lang":"en","type":"article","venue":"Intersections Canadian Journal of Music","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Grinding; Computer science; Engineering; Mechanical engineering","score_opus":0.037843744935179925,"score_gpt":0.2324385243350359,"score_spread":0.19459477939985598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625335800","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13580048,0.012762338,0.021915281,0.038264386,0.0055093565,0.00017889887,0.00021913086,0.0009576073,0.78439265],"genre_scores_gemma":[0.37932518,0.005181193,0.029920157,0.0035349636,0.00066837785,0.000044330314,0.00019130827,0.00094304717,0.58019143],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99705374,0.00036469416,0.00009578242,0.00024815346,0.001467664,0.00076989766],"domain_scores_gemma":[0.99854136,0.0001358587,0.00011244269,0.00022544141,0.0005058959,0.00047892737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002268455,0.0006483871,0.0005032403,0.001792062,0.009560912,0.0058241077,0.0011360045,0.0017477309,0.042596087],"category_scores_gemma":[0.0036224667,0.00033599194,0.0006441769,0.0012121005,0.0072342264,0.0028891414,0.0058579748,0.003435786,0.007915934],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058552023,0.00046066506,0.006937941,0.00069949066,0.00009310555,0.0015021715,0.04445622,0.00051850843,0.026447926,0.19431956,0.21760568,0.5063732],"study_design_scores_gemma":[0.000024661163,0.00022822653,0.015677398,0.00033865904,0.000036744845,0.001487662,0.04274814,0.00023355588,0.005042799,0.024343276,0.9097345,0.00010443931],"about_ca_topic_score_codex":0.022664506,"about_ca_topic_score_gemma":0.11050124,"teacher_disagreement_score":0.042596087,"about_ca_system_score_codex":0.0028754044,"about_ca_system_score_gemma":0.004499975,"threshold_uncertainty_score":0.14249808},"labels":[],"label_agreement":null},{"id":"W2626677030","doi":"","title":"Modeling of Kraft Mill Chemical Balance","year":2012,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kraft paper; Mill; Balance (ability); Kraft process; Environmental science; Pulp and paper industry; Chemistry; Engineering; Mechanical engineering; Medicine; Physical therapy","score_opus":0.015456117884706943,"score_gpt":0.2850794227463114,"score_spread":0.2696233048616044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626677030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57398504,0.00067618187,0.3573296,0.00042034686,0.00010323622,0.00032846883,0.0034833176,0.0017405878,0.061933223],"genre_scores_gemma":[0.97250915,0.00030620807,0.012174915,0.000039970953,0.0000096808435,0.00026025588,0.0008117929,0.00009003592,0.013797854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998398,0.000021300059,0.0000105972185,0.000046484092,0.00005120311,0.000030548803],"domain_scores_gemma":[0.99980265,0.00007672823,0.000024298442,0.00001776126,0.000066773304,0.00001184547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002198473,0.0007508773,0.0007913494,0.00045048905,0.0005246928,0.0012458094,0.0011039695,0.00142886,0.00419208],"category_scores_gemma":[0.0005693001,0.00044800073,0.0007186866,0.0004903126,0.00037266966,0.0008002212,0.0005323797,0.0006276817,0.00058830815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023526452,0.000018915362,0.0006526435,0.000033171924,0.0000072495845,0.000038082315,0.000022733464,0.9932649,0.0025754422,0.0009432424,0.0001312438,0.0022887546],"study_design_scores_gemma":[0.000007091178,0.0000124830985,0.00019243154,0.0000035365335,0.0000044916874,0.000009469274,0.000008290419,0.99779654,0.0010764343,0.00027970946,0.0006053476,0.0000041438007],"about_ca_topic_score_codex":0.020144835,"about_ca_topic_score_gemma":0.008234817,"teacher_disagreement_score":0.020144835,"about_ca_system_score_codex":0.0011806211,"about_ca_system_score_gemma":0.0012819892,"threshold_uncertainty_score":0.040055156},"labels":[],"label_agreement":null},{"id":"W2626968523","doi":"","title":"Influence of Stope Type And Cablebolt Reinforcement On Unplanned Ore Dilution","year":2011,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Dilution; Reinforcement; Environmental science; Engineering; Structural engineering","score_opus":0.020086819460993544,"score_gpt":0.2071070538239483,"score_spread":0.18702023436295476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626968523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977696,0.00011758693,0.0007404221,0.000015397962,0.000019595074,0.0000062238432,0.000049226743,0.00004988421,0.0012320321],"genre_scores_gemma":[0.99827695,0.0000408157,0.00056037086,0.000009808294,0.000003512135,0.000002449271,0.0000349002,0.000025403126,0.0010457721],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995425,0.000085056716,0.000033166045,0.0001078108,0.00010577375,0.00012570183],"domain_scores_gemma":[0.9959566,0.0024399934,0.00047404526,0.00015078789,0.0006699716,0.00030849627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007001811,0.0003665127,0.00043254058,0.0004353599,0.0003954123,0.0010177104,0.000511466,0.00057961117,0.00490772],"category_scores_gemma":[0.0028894108,0.00028948416,0.0002464118,0.00029758684,0.0003970717,0.0005561562,0.0002683871,0.0004102161,0.0005216865],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0186386,0.0011356235,0.036044583,0.0003655032,0.00013497694,0.0012527937,0.00033919307,0.059009414,0.84115064,0.0005015124,0.00064655975,0.040780533],"study_design_scores_gemma":[0.00017457368,0.0075186715,0.06512508,0.00004059856,0.00028235975,0.0003957492,0.0007041925,0.04808508,0.87441957,0.00017744463,0.003000158,0.00007644867],"about_ca_topic_score_codex":0.0027723191,"about_ca_topic_score_gemma":0.0072441166,"teacher_disagreement_score":0.00490772,"about_ca_system_score_codex":0.00073773117,"about_ca_system_score_gemma":0.00048615833,"threshold_uncertainty_score":0.01641798},"labels":[],"label_agreement":null},{"id":"W2692347766","doi":"","title":"Use of Digital Imaging Processing Techniques to Characterise Block Caving Secondary Fragmentation and Implications for a Proposed Cave-to-Mill Approach","year":2015,"lang":"en","type":"article","venue":"49th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cave; Fragmentation (computing); Block (permutation group theory); Geology; Mill; Mining engineering; Engineering; Computer science; Archaeology; Geography; Mechanical engineering; Mathematics; Geometry","score_opus":0.02469567956770788,"score_gpt":0.24516009012140286,"score_spread":0.22046441055369498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2692347766","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23153716,0.00085822685,0.7539951,0.00089107145,0.00010964286,0.00033053703,0.00041142962,0.0011711366,0.010695755],"genre_scores_gemma":[0.48880088,0.00068439083,0.50596565,0.00019604704,0.000019004294,0.000104291226,0.00018585434,0.00011390892,0.0039300793],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99965835,0.00004367058,0.000022076321,0.000078108234,0.00016179914,0.000036036017],"domain_scores_gemma":[0.9981687,0.0006660618,0.0001537353,0.00022505489,0.0007174603,0.000068925634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013631054,0.00035077968,0.00028569848,0.0021908297,0.0004671875,0.0013525801,0.0010143849,0.0010868101,0.0021972018],"category_scores_gemma":[0.0027430137,0.00033862077,0.0002514614,0.0009532961,0.001138424,0.0012647092,0.00059939787,0.0009439713,0.0005696912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068433635,0.00018142586,0.037691098,0.0004924872,0.000055684373,0.0006152443,0.00049290096,0.016791336,0.65202856,0.010512352,0.0018766414,0.27857798],"study_design_scores_gemma":[0.000086229295,0.00097227335,0.081559464,0.00012387733,0.00010378369,0.0052333493,0.00080843904,0.3175661,0.56367713,0.011595422,0.018068478,0.00020540073],"about_ca_topic_score_codex":0.0024495802,"about_ca_topic_score_gemma":0.0086511765,"teacher_disagreement_score":0.0024495802,"about_ca_system_score_codex":0.00044214158,"about_ca_system_score_gemma":0.0007727094,"threshold_uncertainty_score":0.007350385},"labels":[],"label_agreement":null},{"id":"W2734633914","doi":"10.1080/14749009.2017.1351115","title":"Cave fragmentation in a cave-to-mill context at the New Afton Mine part I: fragmentation and hang-up frequency prediction","year":2017,"lang":"en","type":"article","venue":"Mining Technology Transactions of the Institutions of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cave; Fragmentation (computing); Excavation; Mining engineering; Geology; Hang; Context (archaeology); Archaeology; Geography; Engineering; Geotechnical engineering; Computer science; Structural engineering","score_opus":0.024659234225019495,"score_gpt":0.2549537768069362,"score_spread":0.2302945425819167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734633914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991358,0.000017523998,0.0003748787,0.0000086085665,7.539633e-7,0.0000069276407,0.00012611215,0.000012578538,0.00031691353],"genre_scores_gemma":[0.9989322,0.000020105226,0.00064730854,0.0000022076122,0.0000011942487,0.000005737015,0.00022691386,0.0000034540194,0.00016084389],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998265,0.000018608795,0.000012723456,0.00004586002,0.000050445113,0.00004592755],"domain_scores_gemma":[0.99927884,0.000280757,0.00015935446,0.000043750693,0.00012944691,0.00010778678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032616046,0.00023829938,0.00033981926,0.0015203094,0.00060547265,0.0007685631,0.00062684447,0.0006134836,0.0007051838],"category_scores_gemma":[0.0011543416,0.00022580202,0.0003663216,0.0010800945,0.00047709374,0.00044441107,0.0005939772,0.00037636512,0.00014742544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025597404,0.00012567209,0.92686373,0.00004121472,0.00003559256,0.001317607,0.000530909,0.04983649,0.00421062,0.00019254298,0.00026628768,0.016323444],"study_design_scores_gemma":[0.000010665123,0.00010439614,0.8959571,0.000016908916,0.000011469582,0.00031278623,0.00050842937,0.10182504,0.0008922767,0.00013012609,0.00020839412,0.000022540116],"about_ca_topic_score_codex":0.06419272,"about_ca_topic_score_gemma":0.090270944,"teacher_disagreement_score":0.06419272,"about_ca_system_score_codex":0.0010228081,"about_ca_system_score_gemma":0.00048391343,"threshold_uncertainty_score":0.12763816},"labels":[],"label_agreement":null},{"id":"W2735912252","doi":"","title":"Testing technosols over an ultramafic gradient for rehabilitation of diamond mine wastes in a subarctic region","year":2017,"lang":"en","type":"dissertation","venue":"Lu Zone Ul (Laurentian University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subarctic climate; Diamond; Ultramafic rock; Mining engineering; Geology; Geochemistry; Earth science; Environmental science; Metallurgy; Materials science; Oceanography","score_opus":0.013115638948887155,"score_gpt":0.22006072673688104,"score_spread":0.2069450877879939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735912252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99977654,0.000020024188,0.000076181,0.0000027240021,7.825907e-7,0.000012168008,0.000021038953,0.000001586132,0.00008886794],"genre_scores_gemma":[0.996976,0.00017887248,0.0019576652,0.000021665452,0.0000037063166,0.00006104163,0.00014719278,0.0000056223325,0.0006483614],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99954635,0.000111403795,0.000043751643,0.00014505109,0.00008998854,0.00006343173],"domain_scores_gemma":[0.9992336,0.00015727316,0.0002451434,0.00004739585,0.00016262867,0.00015396287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005260878,0.00045357228,0.0004833406,0.00028917877,0.00046207863,0.0006107035,0.0005744195,0.00027422712,0.00036666487],"category_scores_gemma":[0.0005011179,0.00021997729,0.0003297061,0.0003776561,0.00042968517,0.00030375374,0.0004882835,0.00040375398,0.00010157771],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003390274,0.002842556,0.12882847,0.00030021628,0.00013816007,0.0003022447,0.0009862449,0.0019042891,0.84945565,0.000071617804,0.000037503953,0.011742895],"study_design_scores_gemma":[0.00009610624,0.02551474,0.74836075,0.000030527168,0.00019006456,0.00018371338,0.0019723673,0.0015650687,0.2210737,0.00005206816,0.00092992495,0.000030980147],"about_ca_topic_score_codex":0.009366711,"about_ca_topic_score_gemma":0.03540274,"teacher_disagreement_score":0.009366711,"about_ca_system_score_codex":0.0007356111,"about_ca_system_score_gemma":0.00084635,"threshold_uncertainty_score":0.018624425},"labels":[],"label_agreement":null},{"id":"W2737724653","doi":"10.1016/j.mineng.2017.07.008","title":"Evaluation of sampling systems in iron ore concentrating and pelletizing processes – Quantification of Total Sampling Error (TSE) vs. process variation","year":2017,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Pelletizing; Sampling (signal processing); Iron ore; Process (computing); Environmental science; Process engineering; Engineering; Computer science; Chemistry; Metallurgy; Materials science; Environmental chemistry; Analytical Chemistry (journal)","score_opus":0.06918130742620295,"score_gpt":0.31251650620990723,"score_spread":0.2433351987837043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737724653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87261146,0.00065060455,0.12478885,0.00009195128,0.00007138992,0.00031533377,0.00032563534,0.00045852602,0.0006862402],"genre_scores_gemma":[0.9282966,0.00020628062,0.07023683,0.000044495526,0.000020892994,0.00016389633,0.00030367327,0.00008617083,0.0006411638],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99163544,0.0026272086,0.00070061994,0.0012008036,0.0036399686,0.0001959033],"domain_scores_gemma":[0.9857174,0.0076186997,0.0011364529,0.0014014049,0.0039991797,0.0001268297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008350498,0.0007231947,0.000865336,0.0007422252,0.00079927314,0.001225138,0.0011446881,0.001100988,0.00046484428],"category_scores_gemma":[0.018081997,0.00045394388,0.0005063955,0.00088434044,0.00057524245,0.00078822306,0.00078395143,0.00048183382,0.00018411202],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009848084,0.0013398747,0.081698634,0.001204567,0.0006281795,0.00014811887,0.00091243425,0.12601916,0.5649488,0.00096678524,0.0004809796,0.21180442],"study_design_scores_gemma":[0.00019146132,0.0055289413,0.08846006,0.000049762246,0.00041132627,0.0002530753,0.00025179816,0.32043993,0.5821821,0.00037733364,0.0017366867,0.00011743465],"about_ca_topic_score_codex":0.007062338,"about_ca_topic_score_gemma":0.008069626,"teacher_disagreement_score":0.008350498,"about_ca_system_score_codex":0.0012343486,"about_ca_system_score_gemma":0.00096925825,"threshold_uncertainty_score":0.044162154},"labels":[],"label_agreement":null},{"id":"W2739242206","doi":"","title":"Deep Injection Disposal: Environmental And Petroleum Geomechanics","year":2010,"lang":"en","type":"article","venue":"ISRM International Symposium - 6th Asian Rock Mechanics Symposium","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Geomechanics; Petroleum; Petroleum engineering; Geology; Waste management; Environmental science; Engineering; Geotechnical engineering","score_opus":0.0031683601457011793,"score_gpt":0.18885395531166163,"score_spread":0.18568559516596045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739242206","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9313988,0.0011357932,0.033983584,0.0010051368,0.00011432693,0.000042352916,0.00022344795,0.00024911592,0.031847473],"genre_scores_gemma":[0.99404657,0.00023855372,0.00069031166,0.000024506393,0.000011112376,0.0000032339785,0.000028699935,0.000013357636,0.004943523],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99974865,0.000039659608,0.0000098083,0.000030036905,0.00010985409,0.00006204016],"domain_scores_gemma":[0.99976796,0.00005584002,0.00004241454,0.000017069007,0.000089466084,0.000027182297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029984437,0.000474176,0.00045094296,0.00064422324,0.0004433032,0.0012769452,0.00037881482,0.0009781221,0.004997203],"category_scores_gemma":[0.00050753256,0.0002705854,0.00022790744,0.0005749122,0.00064250233,0.0014326607,0.0010784618,0.00043680696,0.00049008994],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030432518,0.0010099831,0.10646445,0.00054562965,0.00009590067,0.001546649,0.00047923296,0.21303445,0.30949482,0.040595077,0.003595538,0.320095],"study_design_scores_gemma":[0.00016208092,0.0021446634,0.22331224,0.00017889588,0.00011932922,0.0010369411,0.0023548307,0.5711159,0.14884654,0.033342984,0.017211806,0.0001738054],"about_ca_topic_score_codex":0.0038984518,"about_ca_topic_score_gemma":0.00591582,"teacher_disagreement_score":0.004997203,"about_ca_system_score_codex":0.0008418358,"about_ca_system_score_gemma":0.00080140366,"threshold_uncertainty_score":0.016717255},"labels":[],"label_agreement":null},{"id":"W2744717302","doi":"","title":"Ore pass practice in Canadian mines","year":2005,"lang":"en","type":"article","venue":"Journal of the Southern African Institute of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Mining engineering; Engineering; Geology; Business; Environmental planning; Environmental science","score_opus":0.009652382069898489,"score_gpt":0.2179511745172616,"score_spread":0.2082987924473631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2744717302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89709413,0.012477011,0.0019435389,0.009102858,0.00025023654,0.00026007908,0.0016507898,0.00023872094,0.076982595],"genre_scores_gemma":[0.9510459,0.010287385,0.0024440545,0.0010450011,0.00002418894,0.00004372447,0.0006126258,0.000063430016,0.034433763],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9973621,0.00014367847,0.00009111653,0.00021763289,0.0016204529,0.0005651251],"domain_scores_gemma":[0.9957254,0.00030959077,0.00048261354,0.000106680236,0.0026906831,0.0006849693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010819766,0.00042675712,0.0004224547,0.0018852332,0.010221475,0.0018867045,0.0013800649,0.00089357124,0.0055928417],"category_scores_gemma":[0.0035318749,0.0003273411,0.00038868032,0.004660612,0.002639288,0.0006395226,0.0014859523,0.00072013563,0.00030525928],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000506503,0.00021118252,0.36383957,0.002521386,0.00021511293,0.013170694,0.08612239,0.0040724804,0.0126088755,0.021829868,0.08723498,0.407667],"study_design_scores_gemma":[0.000026183747,0.00023146566,0.5388063,0.00070868863,0.00009019004,0.0041363626,0.054315932,0.0009859677,0.0026993686,0.00062536716,0.39715397,0.00022017796],"about_ca_topic_score_codex":0.99244034,"about_ca_topic_score_gemma":0.997948,"teacher_disagreement_score":0.062197637,"about_ca_system_score_codex":0.062197637,"about_ca_system_score_gemma":0.092538305,"threshold_uncertainty_score":0.45127755},"labels":[],"label_agreement":null},{"id":"W2754170364","doi":"","title":"Investigation Of Rock Fragmentation Mechanism Using Dynamic Spherical Crushing Test","year":2015,"lang":"en","type":"article","venue":"49th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Fragmentation (computing); Geology; Mechanism (biology); Computer science; Physics","score_opus":0.024658766226679632,"score_gpt":0.23635567825207757,"score_spread":0.21169691202539792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754170364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99484694,0.000113136724,0.0033867024,0.000019706544,0.000008588011,0.000021425876,0.00013095234,0.00006904271,0.0014035524],"genre_scores_gemma":[0.99869066,0.000055436736,0.0006450297,0.000005054969,0.0000013063084,0.0000042365336,0.00009581569,0.000004899579,0.00049757166],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996636,0.000015034134,0.00001921304,0.0000535743,0.00017968492,0.00006891211],"domain_scores_gemma":[0.99919313,0.00015663171,0.00012183549,0.00010489233,0.00034132221,0.00008207528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003838282,0.0003399401,0.00025624625,0.0009921418,0.00029657935,0.00025014312,0.00065731996,0.00046653888,0.002049284],"category_scores_gemma":[0.0007849023,0.00016599114,0.0003214473,0.0004962159,0.00038565436,0.000519923,0.00032959922,0.0002628892,0.00024147604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012696547,0.00015840729,0.035909075,0.00019489392,0.00004877434,0.0011053103,0.0003755185,0.012638819,0.9105802,0.00072390435,0.0005006552,0.03649479],"study_design_scores_gemma":[0.000112894064,0.004309376,0.24696828,0.000040292452,0.00012534476,0.0011853857,0.0010483884,0.14553614,0.59759057,0.0005559621,0.0024214545,0.00010581826],"about_ca_topic_score_codex":0.0033168364,"about_ca_topic_score_gemma":0.004092813,"teacher_disagreement_score":0.0033168364,"about_ca_system_score_codex":0.0002316946,"about_ca_system_score_gemma":0.0002934268,"threshold_uncertainty_score":0.006855607},"labels":[],"label_agreement":null},{"id":"W2764001002","doi":"10.12789/geocanj.2017.44.121","title":"Geological Contributions to Geometallurgy: A Review","year":2017,"lang":"en","type":"review","venue":"Geoscience Canada","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Tailings; Mining engineering; Texture (cosmology); Refining (metallurgy); Geology; Rock mass classification; Sample (material); Measure (data warehouse); Data mining; Process (computing); Computer science; Geotechnical engineering; Artificial intelligence","score_opus":0.06682651807023939,"score_gpt":0.35784695661844396,"score_spread":0.2910204385482046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2764001002","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004055131,0.99409926,0.00049219094,0.00074190344,0.0004125095,0.0000055772807,0.000072141,0.000017184266,0.003753772],"genre_scores_gemma":[0.002385434,0.9956453,0.00042507015,0.00022747071,0.000335044,0.000005381677,0.000088803565,0.000007302473,0.0008802519],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997061,0.000050830462,0.000043409567,0.00006290051,0.00011007719,0.000026713858],"domain_scores_gemma":[0.99914193,0.0004570168,0.0001291838,0.00004171721,0.00017187135,0.0000582272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064706145,0.0010604444,0.0012469039,0.0052133505,0.0007103352,0.0019799166,0.0012302271,0.0014861871,0.008807519],"category_scores_gemma":[0.0018710286,0.00052141957,0.0007633119,0.007917824,0.0016309222,0.002975426,0.0014265969,0.0016493418,0.0034994788],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000743818,0.000061011222,0.0012509769,0.028277377,0.000119403034,0.00054452324,0.0004964635,0.0014377257,0.00080869807,0.022943525,0.045288417,0.8986975],"study_design_scores_gemma":[0.000003344384,0.000031442894,0.0014195523,0.0038644583,0.000057728077,0.001060702,0.00017382318,0.00007316049,0.00016439585,0.004273178,0.9888576,0.000020556117],"about_ca_topic_score_codex":0.0040705455,"about_ca_topic_score_gemma":0.005411803,"teacher_disagreement_score":0.008807519,"about_ca_system_score_codex":0.0011533876,"about_ca_system_score_gemma":0.0025952675,"threshold_uncertainty_score":0.029464066},"labels":[],"label_agreement":null},{"id":"W2769282422","doi":"10.1080/25726668.2019.1577596","title":"Responding to new information in a mining complex: fast mechanisms using machine learning","year":2019,"lang":"en","type":"article","venue":"Mining Technology Transactions of the Institutions of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"AngloGold Ashanti; Vale Canada Limited; Natural Sciences and Engineering Research Council of Canada; Newmont Corporation; BHP Billiton; Canada Excellence Research Chairs, Government of Canada; Barrick Gold Corporation","keywords":"Computer science; Artificial intelligence; Machine learning","score_opus":0.023069284161523592,"score_gpt":0.24388996442606192,"score_spread":0.22082068026453833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769282422","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12470911,0.00047231207,0.8699176,0.0008531946,0.00009517824,0.00012812213,0.00004560961,0.001187021,0.0025918926],"genre_scores_gemma":[0.9240321,0.00015195821,0.074384056,0.00009759555,0.000034065117,0.00009361455,0.000035402227,0.000057467427,0.0011137796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993585,0.0001976374,0.000037711627,0.00015551886,0.00017218031,0.0000784338],"domain_scores_gemma":[0.99565965,0.0027697792,0.000570381,0.000426799,0.000392533,0.0001807641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021406352,0.0008504445,0.0011417918,0.0007154564,0.00076082535,0.0015929246,0.0018735549,0.0013501337,0.0021080612],"category_scores_gemma":[0.008053668,0.0006178834,0.00048106007,0.00060660765,0.0014191268,0.0024671368,0.0016081762,0.0016413727,0.00034562155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015167569,0.00014964964,0.0020344132,0.00005180056,0.00004353641,0.00007245299,0.00011218967,0.89245355,0.003299075,0.0069670416,0.00081355264,0.0938512],"study_design_scores_gemma":[0.0000070300616,0.00001669336,0.00010150042,0.0000024954613,0.0000028047623,0.0000054224515,0.000007092466,0.9960334,0.00041148308,0.0033037167,0.00010421568,0.0000041833264],"about_ca_topic_score_codex":0.0053467746,"about_ca_topic_score_gemma":0.0042845407,"teacher_disagreement_score":0.0053467746,"about_ca_system_score_codex":0.001240113,"about_ca_system_score_gemma":0.0014303935,"threshold_uncertainty_score":0.011320949},"labels":[],"label_agreement":null},{"id":"W2769388210","doi":"10.5539/emr.v7n1p10","title":"Quality Improvement of Iron Ore Jasper by Selective Milling","year":2017,"lang":"en","type":"article","venue":"Engineering Management Research","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universidade Federal de São João del-Rei; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Fundação Gorceix","keywords":"Comminution; Iron ore; Power consumption; Metallurgy; Quality (philosophy); Work (physics); Consumption (sociology); Process engineering; Power (physics); Mathematics; Grinding; Cast iron; Pulp and paper industry; Environmental science; Mining engineering; Engineering; Materials science; Mechanical engineering; Physics","score_opus":0.038287146513125654,"score_gpt":0.3399851297294627,"score_spread":0.30169798321633706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769388210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96119934,0.0011968549,0.033131655,0.00009406915,0.00004972038,0.00007303065,0.00014835625,0.00026145598,0.003845596],"genre_scores_gemma":[0.9678476,0.0010713212,0.025816312,0.00006718176,0.000017980356,0.000025438985,0.0002373413,0.00010657394,0.0048103207],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995844,0.000038820916,0.00002460342,0.000083601735,0.00020942024,0.00005930185],"domain_scores_gemma":[0.9998036,0.000032816868,0.00005238827,0.000029501725,0.00006446443,0.000017122245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042349639,0.00039324161,0.00038722096,0.0007408437,0.00025896434,0.00049758994,0.00029091456,0.00028186766,0.0011081215],"category_scores_gemma":[0.00053357484,0.00021299475,0.00056359527,0.0005327843,0.00029694632,0.0002982364,0.00043065398,0.00045653366,0.0003925008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013653318,0.000029631805,0.00056551513,0.00011600867,0.000010717282,0.00011641008,0.00004608885,0.00020515734,0.9875509,0.00012459714,0.0000742214,0.011024103],"study_design_scores_gemma":[0.000011528205,0.00028576137,0.0036329394,0.000010862867,0.000026279606,0.00020416059,0.00003634844,0.001414882,0.9924104,0.000062248066,0.0018985296,0.0000061170217],"about_ca_topic_score_codex":0.00048435325,"about_ca_topic_score_gemma":0.0017745628,"teacher_disagreement_score":0.0011081215,"about_ca_system_score_codex":0.00016204317,"about_ca_system_score_gemma":0.00025646793,"threshold_uncertainty_score":0.0037069917},"labels":[],"label_agreement":null},{"id":"W2771492223","doi":"","title":"An Investigation into the Stand-up Time of Stopes at the Birchtree Mine, Thompson, Manitoba","year":2018,"lang":"en","type":"dissertation","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Engineering; Forensic engineering","score_opus":0.006204471432997135,"score_gpt":0.16480828740057527,"score_spread":0.15860381596757814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771492223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98979855,0.0000716444,0.00015627412,0.0002526806,0.000010331694,0.000025210205,0.00023572509,0.000009095933,0.009440558],"genre_scores_gemma":[0.98566055,0.00019968429,0.00029755424,0.00012590375,0.0000060446246,0.000023882434,0.0002913219,0.000020961297,0.013374027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943024,0.00006300826,0.00001777738,0.00007921856,0.00022519733,0.00018463521],"domain_scores_gemma":[0.99730694,0.00032665083,0.0002512375,0.000050173563,0.0014878822,0.00057715364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007023558,0.00018058762,0.00022986674,0.0013148079,0.005382678,0.001903639,0.0011823986,0.0006934243,0.003753379],"category_scores_gemma":[0.0025142268,0.00038390723,0.00015985324,0.001436272,0.0009343148,0.0005392619,0.0010680371,0.0008239233,0.00074276124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053091923,0.00030828264,0.8531202,0.0001015354,0.000051611773,0.0026596428,0.095987186,0.00038321505,0.010803801,0.0015549456,0.0038201222,0.03067855],"study_design_scores_gemma":[0.000004665353,0.000114512826,0.8946689,0.000046912864,0.000011379925,0.00010189976,0.095885776,0.00012831313,0.00046556199,0.00006928381,0.008490814,0.000011824294],"about_ca_topic_score_codex":0.7082048,"about_ca_topic_score_gemma":0.94690484,"teacher_disagreement_score":0.2917952,"about_ca_system_score_codex":0.0064885644,"about_ca_system_score_gemma":0.010257598,"threshold_uncertainty_score":0.58702725},"labels":[],"label_agreement":null},{"id":"W2777708303","doi":"10.1063/1.4993432","title":"A multi-particle crushing apparatus for studying rock fragmentation due to repeated impacts","year":2017,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Crusher; Piston (optics); Split-Hopkinson pressure bar; Materials science; Particle size; Particle-size distribution; Particle (ecology); Mechanics; Work (physics); Bar (unit); Comminution; Piston rod; Geotechnical engineering; Geology; Mechanical engineering; Cylinder; Composite material; Engineering; Metallurgy; Strain rate; Physics; Optics","score_opus":0.05633636748536867,"score_gpt":0.33222318597606465,"score_spread":0.27588681849069596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2777708303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68296015,0.004064437,0.30593234,0.0000979206,0.00011957528,0.0008311869,0.0010799044,0.0012194642,0.003694879],"genre_scores_gemma":[0.73477674,0.0033582314,0.25707486,0.00005882671,0.000050099858,0.0010280692,0.0009049921,0.00006935322,0.0026788062],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99941754,0.000043169683,0.000038091734,0.00010242131,0.00035374315,0.000045025194],"domain_scores_gemma":[0.9992465,0.00016956206,0.00014628057,0.00016442529,0.00021212125,0.00006111358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008148999,0.0005014619,0.000495394,0.0014429052,0.0005199768,0.00022564773,0.0009298694,0.0006875441,0.0011694133],"category_scores_gemma":[0.00055214093,0.0002444632,0.00029982807,0.0012326497,0.00039548165,0.00047761886,0.00047180563,0.00060711,0.00033068573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009927521,0.00016172088,0.005730527,0.00040848734,0.000016324851,0.00015920361,0.00017349224,0.0013429079,0.9602522,0.0005125436,0.00031368472,0.030829584],"study_design_scores_gemma":[0.000041696756,0.00247619,0.09343059,0.00006910727,0.000093856725,0.00093476864,0.0002890989,0.032931592,0.8597474,0.0004875289,0.009411994,0.00008615546],"about_ca_topic_score_codex":0.0008057703,"about_ca_topic_score_gemma":0.001454565,"teacher_disagreement_score":0.0014429052,"about_ca_system_score_codex":0.00030418352,"about_ca_system_score_gemma":0.0005657552,"threshold_uncertainty_score":0.0043096542},"labels":[],"label_agreement":null},{"id":"W2778330336","doi":"","title":"The Use of Specific Energy for Fault Mapping in an Open Pit Mine","year":2017,"lang":"en","type":"article","venue":"51st U.S. Rock Mechanics/Geomechanics Symposium","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BGC Engineering (Canada); Simon Fraser University","funders":"","keywords":"Open-pit mining; Energy (signal processing); Fault (geology); Geology; Mining engineering; Seismology; Mathematics","score_opus":0.058565317781173895,"score_gpt":0.2577679052378975,"score_spread":0.1992025874567236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778330336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98908114,0.00007483446,0.0079501765,0.00008623874,0.000003915037,0.000010750762,0.00016187015,0.00004537005,0.0025857526],"genre_scores_gemma":[0.9954389,0.00003515426,0.004155725,0.000004970448,0.000001138443,0.000002232461,0.00004078304,0.0000075159464,0.00031367963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998499,0.000044289896,0.000010096785,0.000028319186,0.000049144794,0.000018183695],"domain_scores_gemma":[0.99964774,0.00015233387,0.000043021046,0.00003004522,0.000102506085,0.000024405166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021906743,0.00013836184,0.00019687503,0.0011483125,0.00041570058,0.00043253353,0.0004300675,0.0004043003,0.00068052707],"category_scores_gemma":[0.0014118663,0.00014499782,0.00015024844,0.0008117804,0.00026651067,0.00056094304,0.0004133311,0.00014264729,0.00013241141],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010845882,0.00039854896,0.41262415,0.00018919018,0.00015575047,0.0012778268,0.0012057452,0.19511543,0.067993455,0.0029891615,0.0010885933,0.31587756],"study_design_scores_gemma":[0.000036004105,0.00030725464,0.22513689,0.00004550851,0.00010505814,0.0005222223,0.0011555377,0.7502313,0.017451728,0.0030109813,0.0019394577,0.000058031896],"about_ca_topic_score_codex":0.012411855,"about_ca_topic_score_gemma":0.04379462,"teacher_disagreement_score":0.012411855,"about_ca_system_score_codex":0.00033211662,"about_ca_system_score_gemma":0.00034091668,"threshold_uncertainty_score":0.024679244},"labels":[],"label_agreement":null},{"id":"W2789952326","doi":"10.1071/aseg2018abw8_2d","title":"Quest for the Holy Grail; BHP’s Geophysical Research Program 1985-2005","year":2018,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Condor Petroleum (Canada)","funders":"","keywords":"Holy Grail; Period (music); Computer science; Business; Engineering management; Data science; Engineering; World Wide Web","score_opus":0.05310215506281964,"score_gpt":0.35945415352043697,"score_spread":0.30635199845761735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789952326","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.074678965,0.009019384,0.004415998,0.095902406,0.002633697,0.00071929,0.013937944,0.0011416753,0.7975506],"genre_scores_gemma":[0.18905684,0.003941791,0.009056867,0.00561853,0.00036252974,0.000270929,0.0063602687,0.00018273873,0.7851496],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984926,0.00017108889,0.000025292014,0.00014451164,0.0008535037,0.00031294572],"domain_scores_gemma":[0.99835205,0.00016013217,0.00010532798,0.00007688855,0.0005786369,0.00072699937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014702821,0.00037850437,0.00016348185,0.0012153017,0.0027850114,0.0025182373,0.0009122851,0.0011317795,0.024062565],"category_scores_gemma":[0.0028586145,0.00033880724,0.00012114236,0.001166079,0.001267478,0.00088309386,0.0022156916,0.0027872983,0.006928477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037254533,0.0002519209,0.003964516,0.00025868477,0.000010378595,0.00063979405,0.0007346704,0.000769587,0.0025072098,0.06671139,0.70649004,0.21728931],"study_design_scores_gemma":[0.00001874124,0.000090145004,0.009699689,0.00004102366,0.0000017821648,0.0001287506,0.00021428138,0.0002979676,0.0011060535,0.0016230837,0.9867719,0.0000065182667],"about_ca_topic_score_codex":0.078288466,"about_ca_topic_score_gemma":0.16525827,"teacher_disagreement_score":0.078288466,"about_ca_system_score_codex":0.008244414,"about_ca_system_score_gemma":0.020371536,"threshold_uncertainty_score":0.15566558},"labels":[],"label_agreement":null},{"id":"W2791286876","doi":"10.1080/25726668.2018.1437334","title":"Cave fragmentation in a cave-to-mill context at the New Afton mine Part II: implications to mill performance","year":2018,"lang":"en","type":"article","venue":"Mining Technology Transactions of the Institutions of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Comminution; Mill; Muck; Cave; Shovel; Mining engineering; Engineering; Fragmentation (computing); Breakage; Geology; Metallurgy; Mechanical engineering; Materials science; Archaeology; Geography; Soil science; Computer science; Composite material","score_opus":0.022212763259941867,"score_gpt":0.24947037174223516,"score_spread":0.2272576084822933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791286876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998262,0.00003455633,0.00014221201,0.0000664177,0.0000012503835,0.0000066721377,0.00010994764,0.0000057257025,0.0013711499],"genre_scores_gemma":[0.99939406,0.000033125718,0.00017996469,0.000008143938,0.0000015649026,0.0000029905696,0.000059376114,0.0000032359892,0.0003174683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959964,0.00004767355,0.000023116234,0.00008819549,0.00012706306,0.00011437535],"domain_scores_gemma":[0.99902487,0.00034319062,0.00023639575,0.000049020586,0.00021088126,0.00013555428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040724495,0.00013707712,0.00027880023,0.0013523671,0.0014890231,0.0015064506,0.0008116927,0.0006588713,0.00226063],"category_scores_gemma":[0.0019751405,0.00023130103,0.00020887413,0.0017428419,0.0012554617,0.0008935895,0.0011652107,0.0004401871,0.00015608649],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028801558,0.00009077881,0.9570295,0.00005601992,0.00003324006,0.0028833633,0.005105191,0.0054832348,0.0052041467,0.0006553226,0.00043954654,0.022731505],"study_design_scores_gemma":[0.0000031745708,0.000041768784,0.99314135,0.000015633179,0.000005190934,0.00029011094,0.0033826053,0.0021900113,0.00029673477,0.00012926717,0.00049049995,0.000013715107],"about_ca_topic_score_codex":0.13715576,"about_ca_topic_score_gemma":0.3436233,"teacher_disagreement_score":0.13715576,"about_ca_system_score_codex":0.0031542191,"about_ca_system_score_gemma":0.0009714141,"threshold_uncertainty_score":0.27271485},"labels":[],"label_agreement":null},{"id":"W2794150465","doi":"","title":"Obtaining Robust Estimates of Rock Strength for Rock Engineering Design","year":2015,"lang":"en","type":"article","venue":"13th ISRM International Congress of Rock Mechanics","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Geology; Geotechnical engineering; Geomechanics; Rock mechanics; Mining engineering","score_opus":0.049919688440047544,"score_gpt":0.26154704813316226,"score_spread":0.21162735969311472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794150465","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004803897,0.000058719528,0.994293,0.000022570317,0.0000067921264,0.0000122655,0.00007057534,0.00032878682,0.0004035176],"genre_scores_gemma":[0.39233813,0.00022427531,0.6030685,0.00006737152,0.00005927907,0.00021153051,0.0010228105,0.00035221683,0.0026559327],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989442,0.00030596353,0.00006435216,0.00021165481,0.000412444,0.00006143267],"domain_scores_gemma":[0.99561465,0.002408845,0.0006047228,0.00062380923,0.0006736732,0.00007436469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014021652,0.0016729851,0.0013680701,0.001586166,0.00028456893,0.0009977525,0.001018551,0.0013884287,0.0029582025],"category_scores_gemma":[0.011448408,0.0013687434,0.0012610381,0.00063741265,0.00059505703,0.0012825796,0.0014354583,0.0014637684,0.0017468793],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014293715,0.00007184329,0.0008843532,0.00014102514,0.00013769945,0.000043795677,0.000030001853,0.84571576,0.022441987,0.0064196363,0.0012238725,0.122747116],"study_design_scores_gemma":[0.0000106825255,0.000045853463,0.0003262112,0.000007321233,0.0000108890645,0.000011527949,0.000004129705,0.99209315,0.0034113738,0.0035348367,0.00053412374,0.000009804295],"about_ca_topic_score_codex":0.0016794757,"about_ca_topic_score_gemma":0.0024128684,"teacher_disagreement_score":0.0029582025,"about_ca_system_score_codex":0.00042446965,"about_ca_system_score_gemma":0.00091866177,"threshold_uncertainty_score":0.009896219},"labels":[],"label_agreement":null},{"id":"W2794816440","doi":"10.14288/1.0364582","title":"Development of a tower mill model using hardgrove mill tests","year":2018,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mill; Tower; Engineering; Mechanical engineering; Structural engineering","score_opus":0.017531612722176904,"score_gpt":0.18722124578262223,"score_spread":0.16968963306044532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794816440","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16629612,0.00043679422,0.79133326,0.00020093172,0.000092739,0.00055203214,0.0014627202,0.0022739049,0.037351478],"genre_scores_gemma":[0.92437553,0.00033895057,0.059430227,0.0000503855,0.000013538151,0.00042038964,0.0008051646,0.00018431991,0.014381398],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999663,0.00005028797,0.000025253652,0.00006982006,0.0001510902,0.000040554063],"domain_scores_gemma":[0.99953985,0.0001638572,0.00006120462,0.000036964597,0.00018155768,0.000016528722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005568877,0.0008814869,0.00074138015,0.0005752627,0.00053259975,0.0015478934,0.0022867434,0.0020595903,0.005670476],"category_scores_gemma":[0.0010723016,0.000499362,0.0010460189,0.0004363479,0.00037994338,0.0010567412,0.00066495634,0.0010012729,0.0011798553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036090445,0.000031323107,0.00070484786,0.000053910473,0.00000813512,0.00009180315,0.00003400188,0.98697853,0.0045164116,0.0010096999,0.00024584343,0.0062894407],"study_design_scores_gemma":[0.000004752026,0.00002158764,0.00017664552,0.000005126277,0.0000038286908,0.000010214409,0.000007923606,0.99801695,0.001060365,0.00019758093,0.0004901839,0.0000049265273],"about_ca_topic_score_codex":0.021123426,"about_ca_topic_score_gemma":0.011180983,"teacher_disagreement_score":0.021123426,"about_ca_system_score_codex":0.0008081452,"about_ca_system_score_gemma":0.0011082565,"threshold_uncertainty_score":0.04200095},"labels":[],"label_agreement":null},{"id":"W2795138289","doi":"10.1139/tcsme-2016-0041","title":"EXPERIMENTAL STUDY ON TUBE JAMMING THROUGH A WEDGE-SHAPED HOPPER","year":2016,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wedge (geometry); Tube (container); Taguchi methods; Vibration; Structural engineering; Mechanics; Materials science; Engineering; Mechanical engineering; Acoustics; Physics; Optics; Composite material","score_opus":0.020452772682583213,"score_gpt":0.23464400023398999,"score_spread":0.21419122755140677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795138289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99404496,0.00018755397,0.0050440133,0.000015102448,0.000022493055,0.0000752015,0.000049784947,0.000047624337,0.00051325804],"genre_scores_gemma":[0.98662335,0.00024345469,0.011726187,0.000022410983,0.000010960837,0.000060598293,0.0000701605,0.000020242134,0.001222567],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994647,0.000093190545,0.000046091944,0.000118432,0.00019482702,0.000082738494],"domain_scores_gemma":[0.9985012,0.0006389532,0.00023103332,0.00014090631,0.0003454158,0.00014246396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079501816,0.0004968899,0.00055355765,0.0004325059,0.0005335301,0.0002964649,0.00051028974,0.0006908202,0.0015639338],"category_scores_gemma":[0.0009886232,0.00022881191,0.00037074782,0.0004799025,0.00041152784,0.00040882884,0.00032379501,0.00054720463,0.00030230515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080180727,0.00063726277,0.0009076929,0.0003944218,0.000012186765,0.00042432395,0.00030500608,0.002230433,0.98780304,0.00016117941,0.00008500998,0.0062377676],"study_design_scores_gemma":[0.000060122173,0.00998313,0.005927254,0.000032475637,0.000052228374,0.00023493054,0.0003315816,0.010634469,0.97125566,0.00008862369,0.0013641124,0.00003550291],"about_ca_topic_score_codex":0.00022159063,"about_ca_topic_score_gemma":0.00037416696,"teacher_disagreement_score":0.0015639338,"about_ca_system_score_codex":0.00013105667,"about_ca_system_score_gemma":0.00021164367,"threshold_uncertainty_score":0.005231917},"labels":[],"label_agreement":null},{"id":"W2797192087","doi":"10.20381/ruor-21662","title":"Treatment of Petroleum Contaminated Soil using Supercritical Fluid Extraction (SFE) Technology","year":2018,"lang":"en","type":"dissertation","venue":"uO Research (University of Ottawa)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Supercritical fluid extraction; Supercritical fluid; Extraction (chemistry); Petroleum engineering; Environmental science; Petroleum; Chromatography; Chemistry; Environmental chemistry; Engineering; Organic chemistry","score_opus":0.04097828243784018,"score_gpt":0.3240209857463827,"score_spread":0.28304270330854253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797192087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9514323,0.009538896,0.034349576,0.00031208337,0.00007583554,0.00017713361,0.00071497256,0.00024516904,0.0031540203],"genre_scores_gemma":[0.97046083,0.0074324114,0.01837259,0.00014350934,0.000020873704,0.000073494084,0.0004752075,0.00002339729,0.002997775],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996202,0.000038692793,0.000027062279,0.000051385217,0.00021474084,0.00004790606],"domain_scores_gemma":[0.9998969,0.000021814405,0.000022615806,0.000006768798,0.00004382082,0.000008022753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022141363,0.00042094165,0.0005031919,0.00052358274,0.00033040778,0.00036293903,0.00022468099,0.00040689006,0.0005651353],"category_scores_gemma":[0.00022481449,0.0001520278,0.0005697612,0.0005597328,0.00033077717,0.00032506062,0.00029118787,0.00032188735,0.00029510033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061726125,0.00003155411,0.0011338406,0.00035344827,0.000024988507,0.00016866012,0.000050232487,0.00047511226,0.97860205,0.000078404104,0.00011576585,0.01890432],"study_design_scores_gemma":[0.000006622898,0.00018674669,0.003775286,0.000020383608,0.0000244569,0.00023887612,0.00007510186,0.0013446371,0.9892218,0.00007363872,0.0050153024,0.000017199178],"about_ca_topic_score_codex":0.005254186,"about_ca_topic_score_gemma":0.010090625,"teacher_disagreement_score":0.005254186,"about_ca_system_score_codex":0.0005143706,"about_ca_system_score_gemma":0.0007115025,"threshold_uncertainty_score":0.010447204},"labels":[],"label_agreement":null},{"id":"W2797203694","doi":"10.14288/1.0365266","title":"A power based approach for the selection and comparison of ball mill liners","year":2018,"lang":"en","type":"article","venue":"Open Collections","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mill; Ball (mathematics); Selection (genetic algorithm); Engineering; Process engineering; Environmental science; Mechanical engineering; Mathematics; Computer science; Artificial intelligence; Geometry","score_opus":0.029571251933179943,"score_gpt":0.2870591991811756,"score_spread":0.2574879472479957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797203694","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.098825805,0.00020970221,0.8778701,0.00010239591,0.00011628013,0.0009616299,0.0013737173,0.0027818957,0.017758474],"genre_scores_gemma":[0.54078555,0.00019542172,0.44587407,0.00009137864,0.00004332018,0.0012556701,0.0022287625,0.00073649286,0.008789294],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99635434,0.00088292256,0.00024428553,0.00074573606,0.0016179072,0.00015469173],"domain_scores_gemma":[0.99316424,0.0037595697,0.00043631383,0.0008469077,0.0017103439,0.00008270244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036179894,0.0011772655,0.001456233,0.006934927,0.0007917503,0.0025946256,0.0020279035,0.0011960497,0.010917841],"category_scores_gemma":[0.019796902,0.00064078154,0.0014322993,0.004621595,0.00048532232,0.0020786626,0.0012171663,0.0010708959,0.0030431123],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013567084,0.000749363,0.04610852,0.00056293444,0.0004070969,0.0007091847,0.000741845,0.22202176,0.025905354,0.020205311,0.006081102,0.6751508],"study_design_scores_gemma":[0.000088546825,0.0009840414,0.024501443,0.0000745376,0.00011543443,0.00046650958,0.0006164425,0.92992437,0.016016888,0.01077916,0.016321426,0.000111124056],"about_ca_topic_score_codex":0.0032888893,"about_ca_topic_score_gemma":0.002588761,"teacher_disagreement_score":0.010917841,"about_ca_system_score_codex":0.0011006912,"about_ca_system_score_gemma":0.00057488534,"threshold_uncertainty_score":0.03652382},"labels":[],"label_agreement":null},{"id":"W2803267278","doi":"","title":"The Influence of Rock Foliation on the Correlation between the Point Load Strength Index and Comminution Indices at Kinross Tasiast Mine","year":2016,"lang":"en","type":"article","venue":"50th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Comminution; Geology; Index (typography); Point (geometry); Geotechnical engineering; Mineralogy; Materials science; Mathematics; Metallurgy; Geometry","score_opus":0.009009169999654119,"score_gpt":0.2056305393626198,"score_spread":0.19662136936296568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803267278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996412,0.000012449984,0.000030443165,0.000007927802,7.900627e-7,4.5962062e-7,0.00008337057,0.000002365411,0.00022098198],"genre_scores_gemma":[0.9996853,0.000006534531,0.000027425378,0.0000019658803,9.649158e-7,5.17961e-7,0.00009822033,0.0000018842597,0.00017735302],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996706,0.000046706256,0.00002619471,0.00008877527,0.000077008015,0.00009065389],"domain_scores_gemma":[0.9985203,0.00042091234,0.00028191926,0.00007921213,0.00043518958,0.00026252738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003635577,0.00014982355,0.0002649192,0.000817436,0.00046643973,0.0006397143,0.00042622635,0.0003794097,0.0016782106],"category_scores_gemma":[0.0017089017,0.0001800917,0.00018242068,0.00060488284,0.0004538932,0.00023886783,0.0004693508,0.00035530853,0.0003276224],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008302959,0.000015311049,0.99650735,0.0000019910867,0.00001953497,0.00011934377,0.00017394515,0.00035102904,0.0013134998,0.000030294752,0.000057062407,0.0013276661],"study_design_scores_gemma":[0.0000012341156,0.000016067504,0.9988544,0.000001816146,0.0000073166398,0.000041621523,0.00016758205,0.00067358196,0.00014346115,0.000010790321,0.000079837715,0.0000023307148],"about_ca_topic_score_codex":0.1714379,"about_ca_topic_score_gemma":0.29823467,"teacher_disagreement_score":0.1714379,"about_ca_system_score_codex":0.00084421673,"about_ca_system_score_gemma":0.00086782465,"threshold_uncertainty_score":0.3408801},"labels":[],"label_agreement":null},{"id":"W2805461547","doi":"10.4095/292458","title":"Significance of indicator minerals from till and esker samples, Thaidene Nene MERA Study area","year":2013,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Archaeology; Geography","score_opus":0.05183906441620528,"score_gpt":0.2650506298068323,"score_spread":0.21321156539062702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805461547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99771726,0.00009174306,0.0000639367,0.000015056955,0.000002396795,0.0000075093144,0.0004956457,0.0000027351855,0.0016037739],"genre_scores_gemma":[0.9969593,0.00012584633,0.00030131813,0.000009570191,0.0000022163797,0.000011153647,0.00044251885,0.0000033864019,0.0021445728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998211,0.000016908027,0.000021973437,0.00004265304,0.00006615677,0.000031292053],"domain_scores_gemma":[0.9996125,0.00004719133,0.00012677867,0.000011347022,0.00015572019,0.000046483452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019709104,0.00015837715,0.00016151376,0.0015503967,0.00071453414,0.00057617057,0.00023778598,0.00015878695,0.0010727149],"category_scores_gemma":[0.0004010073,0.00015584913,0.000111541674,0.0014317804,0.0002898418,0.0002375732,0.00042057442,0.00020407933,0.00017320557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039708745,0.00007785565,0.91251254,0.00017652303,0.00004193481,0.0010490145,0.0038784586,0.0001371442,0.06564855,0.00016381466,0.00026280366,0.015654387],"study_design_scores_gemma":[0.0000024469944,0.000057834743,0.9889705,0.000010255139,0.000022796024,0.00045065078,0.0045642974,0.000081348924,0.0044550947,0.000024600706,0.0013570057,0.0000032561609],"about_ca_topic_score_codex":0.02502338,"about_ca_topic_score_gemma":0.07961408,"teacher_disagreement_score":0.9749766,"about_ca_system_score_codex":0.00030055502,"about_ca_system_score_gemma":0.00052925217,"threshold_uncertainty_score":0.049755454},"labels":[],"label_agreement":null},{"id":"W2806754090","doi":"10.4095/292691","title":"Field portable XRF in exploration and mining","year":2013,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Field (mathematics); Data science; Computer science; Mathematics","score_opus":0.045355283174916446,"score_gpt":0.2623882135462819,"score_spread":0.21703293037136545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806754090","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34961683,0.026100222,0.09767732,0.008294851,0.0031106893,0.006514545,0.042571854,0.0051326766,0.46098095],"genre_scores_gemma":[0.39892748,0.009867226,0.06167762,0.0006431639,0.00040478012,0.0009912996,0.030625343,0.0004771525,0.49638596],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973863,0.0002728943,0.0000845022,0.0004453828,0.0015471149,0.00026376772],"domain_scores_gemma":[0.9985372,0.00022296367,0.00006589656,0.00021766126,0.0008368258,0.000119426855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003063794,0.0010142993,0.0006067652,0.0026924147,0.001716765,0.0011413628,0.0025725218,0.00183384,0.014797715],"category_scores_gemma":[0.0013138934,0.00053490157,0.0004987058,0.0024131967,0.00075936987,0.0016186445,0.0014402152,0.0012666532,0.004945268],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002974704,0.0014287083,0.024906587,0.0018586376,0.000106051404,0.0028596453,0.00082856615,0.0037177238,0.22469227,0.005388517,0.14179984,0.58943874],"study_design_scores_gemma":[0.00034643846,0.0016631867,0.09076306,0.0003070605,0.00011659739,0.003762864,0.0015521578,0.002651566,0.2675091,0.0015061082,0.6297461,0.00007581372],"about_ca_topic_score_codex":0.017201906,"about_ca_topic_score_gemma":0.031284347,"teacher_disagreement_score":0.017201906,"about_ca_system_score_codex":0.0016061815,"about_ca_system_score_gemma":0.003161959,"threshold_uncertainty_score":0.049503267},"labels":[],"label_agreement":null},{"id":"W2809831737","doi":"10.1109/codit.2018.8394922","title":"Tricone bit health monitoring using wavelet packet decomposed vibration signal","year":2018,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vibration; Computer science; Wavelet; SIGNAL (programming language); Accelerometer; Wavelet packet decomposition; Signal processing; Time–frequency analysis; Engineering; Wavelet transform; Artificial intelligence; Electronic engineering; Acoustics; Radar; Telecommunications","score_opus":0.04069668412764232,"score_gpt":0.28921018360582584,"score_spread":0.24851349947818352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809831737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7020979,0.0002865109,0.2935858,0.00009943254,0.00003893671,0.000067277244,0.0005073432,0.00079121324,0.0025256062],"genre_scores_gemma":[0.9633332,0.00018614296,0.035083707,0.000019325233,0.000011319147,0.000020274023,0.0002723231,0.000016826842,0.0010568057],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998518,0.000021016793,0.000007842085,0.000032339678,0.00007246594,0.000014501206],"domain_scores_gemma":[0.99980134,0.000045542496,0.00003575776,0.000018975687,0.000086422246,0.000012009398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018398953,0.00027357243,0.00021846253,0.0007202396,0.00009043057,0.00039992595,0.00024204284,0.000284961,0.000665512],"category_scores_gemma":[0.00049950194,0.00009370282,0.00012136088,0.0004417268,0.00010225236,0.00034263296,0.0002119088,0.00016304254,0.00021681015],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008890871,0.00018397285,0.037820507,0.00028591204,0.00006472927,0.00034503924,0.00022704077,0.041275024,0.40711918,0.0006787549,0.0013038452,0.50980693],"study_design_scores_gemma":[0.0000309583,0.000677803,0.08156443,0.0000326055,0.00006150397,0.00045121176,0.00018686455,0.8102175,0.1042872,0.0006236112,0.001824725,0.000041579013],"about_ca_topic_score_codex":0.0011173707,"about_ca_topic_score_gemma":0.0013894499,"teacher_disagreement_score":0.0011173707,"about_ca_system_score_codex":0.00012271377,"about_ca_system_score_gemma":0.00011928651,"threshold_uncertainty_score":0.0022263527},"labels":[],"label_agreement":null},{"id":"W2810960965","doi":"10.4095/299735","title":"Geoenvironmental characteristics of Canadian critical metal deposits","year":2017,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Metal; Geology; Mining engineering; Environmental science; Materials science; Metallurgy","score_opus":0.03246087029764478,"score_gpt":0.2616291054476648,"score_spread":0.22916823515002005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810960965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87835574,0.0019943314,0.0006114173,0.0013337615,0.000034934903,0.000094051895,0.009729662,0.000067036744,0.10777907],"genre_scores_gemma":[0.97918475,0.0012925194,0.0007168583,0.0001452097,0.0000078270805,0.000016917556,0.002461584,0.000022394048,0.016152032],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99955076,0.000011832337,0.000010063545,0.00006076455,0.00026485618,0.00010176633],"domain_scores_gemma":[0.99937445,0.000014591978,0.00006478749,0.000012825055,0.00047467352,0.00005869272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019487445,0.0002980991,0.00018997482,0.0023447636,0.0036271373,0.0012934383,0.000807616,0.00025509737,0.0069701695],"category_scores_gemma":[0.00070957135,0.00015755174,0.00019201133,0.0042331005,0.0008195911,0.00031306857,0.00095997733,0.00024016955,0.0006305697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032912396,0.00006322381,0.85380936,0.00046160954,0.000112751724,0.0025145866,0.011157308,0.0015331486,0.009613863,0.00784691,0.026862135,0.08569595],"study_design_scores_gemma":[0.0000065118825,0.000027236209,0.88537335,0.00007852863,0.000029263887,0.00058395136,0.010516845,0.0004723335,0.0014650752,0.00034374365,0.101058595,0.000044626737],"about_ca_topic_score_codex":0.9873704,"about_ca_topic_score_gemma":0.99622333,"teacher_disagreement_score":0.025301497,"about_ca_system_score_codex":0.025301497,"about_ca_system_score_gemma":0.019867525,"threshold_uncertainty_score":0.1835761},"labels":[],"label_agreement":null},{"id":"W2820050776","doi":"10.31353/cs1031","title":"Riyadh Bioremediation Facility Methods","year":2015,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Bioremediation; Engineering management; Engineering; Computer science; Medical education; Medicine; Biology; Contamination; Ecology","score_opus":0.07171405802810449,"score_gpt":0.3290210031897381,"score_spread":0.2573069451616336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2820050776","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33169767,0.0034440674,0.2598933,0.0020259973,0.0010327159,0.15611906,0.043342642,0.0018153928,0.20062919],"genre_scores_gemma":[0.2755382,0.0044812527,0.45845997,0.0019118142,0.00017069187,0.13630724,0.01789635,0.00034170412,0.10489275],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997832,0.00029066726,0.00016900664,0.0005575212,0.0007638857,0.0003869361],"domain_scores_gemma":[0.9988317,0.00014154566,0.00014632988,0.00027803512,0.0005019379,0.0001004683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024195656,0.0010977001,0.00066658325,0.002175729,0.0030315467,0.0019137748,0.0033357558,0.0005829353,0.037626933],"category_scores_gemma":[0.0011145402,0.0006071317,0.00046732934,0.0013134042,0.001169048,0.00049208244,0.0017534314,0.0010384708,0.011407332],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028243128,0.0055622878,0.05424223,0.005334551,0.00011481424,0.0039212652,0.010205253,0.0028931636,0.36112842,0.0463691,0.058636356,0.44876832],"study_design_scores_gemma":[0.00053379306,0.0026683977,0.04630367,0.0007162005,0.0002236633,0.0017758027,0.010218776,0.0032250332,0.15998185,0.002545068,0.7715657,0.00024213678],"about_ca_topic_score_codex":0.023233516,"about_ca_topic_score_gemma":0.074473366,"teacher_disagreement_score":0.037626933,"about_ca_system_score_codex":0.002028858,"about_ca_system_score_gemma":0.009224354,"threshold_uncertainty_score":0.12587458},"labels":[],"label_agreement":null},{"id":"W2882982625","doi":"10.3390/min8070310","title":"Variographic Assessment of Total Process Measurement System Performance for a Complete Ore-to-Shipping Value Chain","year":2018,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Aalborg Universitet","keywords":"Sampling (signal processing); Computer science; Process (computing); System of measurement; Environmental science; Statistics; Mathematics; Telecommunications","score_opus":0.03916003592764222,"score_gpt":0.2733935968103015,"score_spread":0.2342335608826593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2882982625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94521594,0.00037586308,0.05069671,0.00005378219,0.000025860385,0.00014032164,0.00063590275,0.00030321156,0.002552427],"genre_scores_gemma":[0.9795726,0.00015543471,0.018602133,0.000013242186,0.000010717878,0.00008608563,0.0006329941,0.000049971484,0.0008767844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9946891,0.0016892151,0.0005193459,0.00055981387,0.0022478222,0.0002947104],"domain_scores_gemma":[0.989135,0.0040034624,0.0011243257,0.0011593569,0.004403305,0.00017461041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01127373,0.0007402478,0.00080128456,0.0038683582,0.00066867244,0.0018850098,0.0007026165,0.00076802395,0.0014293739],"category_scores_gemma":[0.012344701,0.00030813587,0.00085985416,0.004305939,0.00060448376,0.0014200473,0.0013142289,0.0004854438,0.0004662359],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019322751,0.00036264106,0.5864151,0.0007258198,0.0006362877,0.00043645647,0.0021133763,0.073742524,0.06499424,0.0015716366,0.0008544515,0.26621512],"study_design_scores_gemma":[0.00004260307,0.003997828,0.78564155,0.00016259628,0.0005685715,0.00036690905,0.0029364668,0.1224569,0.07494808,0.0013434858,0.0073557193,0.00017932268],"about_ca_topic_score_codex":0.0042797993,"about_ca_topic_score_gemma":0.0048352,"teacher_disagreement_score":0.01127373,"about_ca_system_score_codex":0.00088305044,"about_ca_system_score_gemma":0.00095343584,"threshold_uncertainty_score":0.05962187},"labels":[],"label_agreement":null},{"id":"W2883544323","doi":"10.1016/j.powtec.2018.07.056","title":"Side-view-only determination of drag coefficient and settling velocity for non-spherical particles","year":2018,"lang":"en","type":"article","venue":"Powder Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Suncor Energy Incorporated; Canadian Natural Resources Limited","keywords":"Settling; Drag coefficient; Range (aeronautics); Drag; Particle (ecology); Mechanics; Set (abstract data type); Line (geometry); Mathematics; Geometry; Computer science; Physics; Engineering; Geology; Thermodynamics; Aerospace engineering","score_opus":0.011232212018090708,"score_gpt":0.25132823003903915,"score_spread":0.24009601802094843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883544323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89665496,0.00083031354,0.09416549,0.00005855994,0.00009596702,0.000074029675,0.0009382887,0.0009778643,0.0062044905],"genre_scores_gemma":[0.9460984,0.00032827584,0.04960157,0.000050078026,0.000018569895,0.000038772287,0.0009407395,0.000110932604,0.0028125888],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996761,0.000012266947,0.000011331631,0.00008738567,0.00016878487,0.00004413518],"domain_scores_gemma":[0.9994993,0.00010348777,0.000051690004,0.00007196898,0.00023975776,0.000033800028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026702927,0.00033892336,0.00049386406,0.00067557755,0.00031225418,0.00048129336,0.0004431887,0.00062947837,0.0018564014],"category_scores_gemma":[0.0005926212,0.00031163264,0.000426666,0.00039752864,0.00021712294,0.0005948937,0.00048307344,0.0004908836,0.000848282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016154708,0.00004819372,0.006134798,0.00008581371,0.000023140055,0.00008658405,0.00007142636,0.00080520776,0.97293866,0.0001740495,0.00034037678,0.01913017],"study_design_scores_gemma":[0.000022207689,0.00018418014,0.036156073,0.00001114292,0.000049781236,0.0003519331,0.00009379437,0.04661388,0.91476715,0.000098926685,0.0016060234,0.000044709188],"about_ca_topic_score_codex":0.004715665,"about_ca_topic_score_gemma":0.01087969,"teacher_disagreement_score":0.004715665,"about_ca_system_score_codex":0.00030194683,"about_ca_system_score_gemma":0.0006027208,"threshold_uncertainty_score":0.009376407},"labels":[],"label_agreement":null},{"id":"W2885796512","doi":"10.30632/pjv59v4-2018a7","title":"Incorporating Flow Regimes Into Crushed-Rock Analysis to Better Understand Matrix Permeability and Pore Structure in Shales","year":2018,"lang":"en","type":"article","venue":"Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Permeability (electromagnetism); Geology; Matrix (chemical analysis); Oil shale; Flow (mathematics); Geotechnical engineering; Mineralogy; Materials science; Petroleum engineering; Petrology; Composite material; Mechanics; Chemistry; Physics","score_opus":0.023898432326976658,"score_gpt":0.28168996543468133,"score_spread":0.2577915331077047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885796512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98435867,0.000052735562,0.014542258,0.000035352215,0.000004017839,0.000013398137,0.00012526302,0.00023247504,0.0006359131],"genre_scores_gemma":[0.99630284,0.00002778849,0.0033048578,0.000004645106,0.0000014063953,0.0000036332706,0.000061112674,0.000013328462,0.00028030557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999658,0.0000053589138,0.0000037103266,0.000008813121,0.000008949245,0.000007447228],"domain_scores_gemma":[0.9998456,0.00006407517,0.000019991874,0.000016012531,0.000038320482,0.000015892041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022080331,0.00027542165,0.00020745995,0.00086215994,0.00040632143,0.0006166092,0.00028153436,0.00038132226,0.0009636377],"category_scores_gemma":[0.00043042024,0.00022053528,0.0002738723,0.00037981122,0.00029002698,0.00078625797,0.00025841952,0.00028319267,0.00009974629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002736167,0.0005631925,0.21290317,0.00014520092,0.00011169182,0.00031891893,0.00058201957,0.49194235,0.21887854,0.0016272536,0.00037045623,0.072283596],"study_design_scores_gemma":[0.0000077820905,0.000032746513,0.044535156,0.0000055623514,0.000011874058,0.00001776876,0.00010929609,0.9434871,0.011311359,0.00027007633,0.00019898538,0.000012284664],"about_ca_topic_score_codex":0.026958235,"about_ca_topic_score_gemma":0.046702087,"teacher_disagreement_score":0.026958235,"about_ca_system_score_codex":0.000410931,"about_ca_system_score_gemma":0.0006587721,"threshold_uncertainty_score":0.053602636},"labels":[],"label_agreement":null},{"id":"W2885983371","doi":"10.5006/c2018-11290","title":"Evaluating Polymer Based Materials Pipeline for Large Solids Particles Applications","year":2018,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Devon Energy (Canada)","funders":"","keywords":"Pipeline (software); Materials science; Polymer; Corrosion; Composite material; Mechanical engineering; Engineering","score_opus":0.04810589809151116,"score_gpt":0.3424257536666498,"score_spread":0.2943198555751386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885983371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99420506,0.0013539561,0.0026051698,0.00003427819,0.00002241051,0.00012168828,0.00013309922,0.0000621094,0.0014622293],"genre_scores_gemma":[0.9893289,0.0011982482,0.0058557293,0.000030155676,0.000008758645,0.000053848868,0.00020191469,0.000027308726,0.0032951534],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996414,0.000074229094,0.000021342066,0.00004785872,0.00017252692,0.0000425741],"domain_scores_gemma":[0.9996438,0.000070083835,0.00010096163,0.000019063073,0.00012800681,0.000038130234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003882785,0.00040238546,0.00021826745,0.00045442028,0.000165789,0.00042615624,0.00027529433,0.0004370656,0.00172385],"category_scores_gemma":[0.00049390434,0.00013923348,0.00032414,0.0003652237,0.00012363249,0.00047862926,0.00023145326,0.00026733393,0.0006035313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025544452,0.00014911234,0.0006639323,0.00022590527,0.000010727328,0.000073751515,0.000019561485,0.00043585763,0.9883813,0.000031600048,0.000046564648,0.009706175],"study_design_scores_gemma":[0.000011219281,0.0061738817,0.004343746,0.00002017792,0.000032275206,0.00009588772,0.000064153246,0.0009443858,0.9858063,0.000021152371,0.0024795125,0.0000073228607],"about_ca_topic_score_codex":0.000304478,"about_ca_topic_score_gemma":0.000900944,"teacher_disagreement_score":0.00172385,"about_ca_system_score_codex":0.00022284067,"about_ca_system_score_gemma":0.00018277692,"threshold_uncertainty_score":0.0057668686},"labels":[],"label_agreement":null},{"id":"W2893408214","doi":"10.1016/j.ijpharm.2018.08.052","title":"An application of deep learning to detect process upset during pharmaceutical manufacturing using passive acoustic emissions","year":2018,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Distributor; Fluidized bed; Upset; Artificial intelligence; Deep learning; Computer science; Python (programming language); Process (computing); Artificial neural network; Automotive engineering; Process engineering; Environmental science; Engineering; Mechanical engineering; Waste management","score_opus":0.024665312891003103,"score_gpt":0.37453567335450044,"score_spread":0.34987036046349734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893408214","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49577746,0.00063822727,0.49646622,0.00027408247,0.00019972354,0.000061987055,0.0002829212,0.0024516857,0.0038477497],"genre_scores_gemma":[0.94858325,0.00012895279,0.04883025,0.00006772587,0.000028954768,0.000018337632,0.00012237238,0.000033154916,0.0021869207],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998734,0.000014225592,0.0000065837057,0.000036860813,0.000048780515,0.00002020018],"domain_scores_gemma":[0.9997514,0.00011947143,0.000027390908,0.000017233566,0.00006811848,0.000016348155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024284379,0.00055396435,0.00032014595,0.00043280967,0.00015668762,0.00032761585,0.0005180916,0.00061365636,0.0007993585],"category_scores_gemma":[0.00046142307,0.00023302186,0.00028513192,0.00029029752,0.00014918503,0.00037385925,0.000425302,0.00042823332,0.00020900583],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008547193,0.0008403686,0.017795388,0.00027376213,0.00015934823,0.0007114165,0.000118975484,0.18353502,0.2432175,0.00074126956,0.0019604082,0.5497918],"study_design_scores_gemma":[0.000009981143,0.00011332882,0.0035472978,0.0000054533866,0.000015265534,0.00006412483,0.000015442974,0.9700836,0.02528594,0.0003841078,0.000466549,0.00000891418],"about_ca_topic_score_codex":0.0017754938,"about_ca_topic_score_gemma":0.0029012756,"teacher_disagreement_score":0.0017754938,"about_ca_system_score_codex":0.00018284385,"about_ca_system_score_gemma":0.0002720262,"threshold_uncertainty_score":0.0035303235},"labels":[],"label_agreement":null},{"id":"W2895895639","doi":"10.2118/1018-0064-jpt","title":"Simulation Algorithm Benefits by Connecting Geostatistics With Unsupervised Learning","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geostatistics; Computer science; Artificial intelligence; Algorithm; Unsupervised learning; Artificial neural network; Machine learning; Heuristic; Data mining; Mathematics; Spatial variability","score_opus":0.006150216235218512,"score_gpt":0.2194710579205678,"score_spread":0.2133208416853493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895895639","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032562024,0.00008212544,0.9944121,0.00035108696,0.000033691358,0.000022517355,0.000024225332,0.00039007855,0.0014280535],"genre_scores_gemma":[0.22399408,0.00047274397,0.77165765,0.00035995553,0.00020173524,0.00023926559,0.0002701589,0.0005272236,0.0022771377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983543,0.00075614173,0.00011055242,0.0002923976,0.00044148535,0.000045120312],"domain_scores_gemma":[0.9918719,0.005713816,0.00034171436,0.0010824557,0.00085598597,0.00013411323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021621708,0.0008885818,0.0010682101,0.0011355523,0.0005005095,0.0015456444,0.0015778646,0.0012768741,0.0024307023],"category_scores_gemma":[0.01587479,0.00059527624,0.0011182523,0.0011567633,0.0012588552,0.0025168231,0.0021149716,0.0017971924,0.0010046168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007758297,0.00008533443,0.0035589298,0.00011384453,0.00016255768,0.0000884375,0.00014754794,0.76456404,0.0014299697,0.101466745,0.0022650328,0.12603989],"study_design_scores_gemma":[0.000007834325,0.00001586205,0.00011475373,0.000009423027,0.0000067655806,0.00003054879,0.00000763103,0.9600131,0.00038634616,0.037374683,0.0020254736,0.000007606283],"about_ca_topic_score_codex":0.0027122549,"about_ca_topic_score_gemma":0.0027606373,"teacher_disagreement_score":0.0027122549,"about_ca_system_score_codex":0.0008218682,"about_ca_system_score_gemma":0.0015044342,"threshold_uncertainty_score":0.0114347935},"labels":[],"label_agreement":null},{"id":"W2896023031","doi":"","title":"Multivariate statistical analysis to investigate the seismic response to production blasting at Goldcorp Eleonore","year":2018,"lang":"en","type":"article","venue":"UWA Profiles and Research Repository (University of Western Australia)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Multivariate statistics; Rock blasting; Multivariate analysis; Statistical analysis; Production (economics); Geology; Statistics; Mathematics; Geotechnical engineering; Economics","score_opus":0.06362254419307749,"score_gpt":0.3135218046415125,"score_spread":0.24989926044843502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896023031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98258454,0.000033287266,0.011296612,0.00008124706,0.000015436217,0.000113439775,0.0044925218,0.00015989823,0.001223095],"genre_scores_gemma":[0.9863847,0.000038216105,0.0076398915,0.00001301364,0.00001359382,0.00017484142,0.0047105253,0.000026697211,0.0009984277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867,0.00031556905,0.00012898148,0.0002739338,0.0004489651,0.00016269887],"domain_scores_gemma":[0.9960516,0.0021293412,0.0006821066,0.0003486723,0.0005752624,0.00021298457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013810042,0.00036923218,0.00045843676,0.0018059871,0.00024273616,0.0004503832,0.00043825086,0.00023741742,0.003035638],"category_scores_gemma":[0.0052752453,0.00011416799,0.00062055065,0.0021457686,0.0002440829,0.00034365954,0.0005432713,0.00062206865,0.0003834738],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007443289,0.0005727212,0.8622885,0.00016440269,0.0005545581,0.00063712505,0.0008689614,0.012930089,0.012485448,0.0009965717,0.004795125,0.102962196],"study_design_scores_gemma":[0.000013176616,0.00063077203,0.96407586,0.000012306473,0.000060803493,0.0001734921,0.0008673459,0.03013589,0.0016296473,0.0002477535,0.002127934,0.00002488488],"about_ca_topic_score_codex":0.009866696,"about_ca_topic_score_gemma":0.011736081,"teacher_disagreement_score":0.009866696,"about_ca_system_score_codex":0.00034801272,"about_ca_system_score_gemma":0.00064310216,"threshold_uncertainty_score":0.019618511},"labels":[],"label_agreement":null},{"id":"W2896406414","doi":"10.1007/bf03403184","title":"Addition of MillPebs to a pelletizing grinding mill","year":2004,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Pelletizing; Grinding; Breakage; Granulation; Metallurgy; Materials science; Comminution; Mill; Mineral processing; Pellets; Composite material; Engineering; Mechanical engineering","score_opus":0.025658769910174316,"score_gpt":0.22458079031847636,"score_spread":0.19892202040830204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896406414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92657185,0.0031693296,0.049479973,0.000625116,0.0010895667,0.0016667088,0.0028265526,0.002555965,0.012014926],"genre_scores_gemma":[0.8282609,0.0034342685,0.09505219,0.0006796807,0.00028430452,0.001082317,0.009162618,0.0008723479,0.06117148],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992499,0.000092344824,0.00009919822,0.00017321031,0.00021670191,0.0001685971],"domain_scores_gemma":[0.99917823,0.00029732895,0.000086318236,0.000106270905,0.00020618683,0.00012555384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067560165,0.0012375213,0.0016152174,0.0009844126,0.00071985775,0.0007137511,0.0009455424,0.0008545964,0.009703197],"category_scores_gemma":[0.00091664033,0.00077160675,0.0005988662,0.00083672075,0.00022379203,0.00055792317,0.00043423893,0.0027396062,0.0027728134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014179827,0.00032514444,0.00061779615,0.00022787535,0.00005241948,0.00012302077,0.000094340394,0.0005715043,0.9864564,0.00015969218,0.00042351865,0.009530383],"study_design_scores_gemma":[0.00004845381,0.00074566435,0.0018645787,0.000028989354,0.00006313996,0.00004367513,0.00003260088,0.0007742938,0.98912084,0.000056448764,0.0072060125,0.00001541079],"about_ca_topic_score_codex":0.0034192707,"about_ca_topic_score_gemma":0.008092766,"teacher_disagreement_score":0.009703197,"about_ca_system_score_codex":0.00045282947,"about_ca_system_score_gemma":0.0012558026,"threshold_uncertainty_score":0.03246039},"labels":[],"label_agreement":null},{"id":"W2897140648","doi":"10.1007/bf03403212","title":"Gyratory crusher model and impact parameters related to energy consumption","year":2007,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Hydro-Québec","funders":"U.S. Department of Energy","keywords":"Crusher; Energy consumption; Environmental science; Mathematics; Structural engineering; Engineering; Mechanical engineering","score_opus":0.038676362663231316,"score_gpt":0.2708194987223533,"score_spread":0.23214313605912196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897140648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95203924,0.00021342334,0.026862739,0.00023701167,0.0000428295,0.00006818902,0.0020968951,0.00091040425,0.017529353],"genre_scores_gemma":[0.99676645,0.00004616476,0.0007605921,0.000010130015,0.0000025973761,0.000016584563,0.00040037904,0.000042384832,0.0019546412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999248,0.000011271262,0.0000047916155,0.000022061095,0.000016425229,0.000020720527],"domain_scores_gemma":[0.9997056,0.00014102367,0.000028771121,0.00003824841,0.0000705289,0.000015846037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022645036,0.00075065903,0.00046962584,0.0005548553,0.00039361327,0.00056022836,0.0007024498,0.0011158,0.003065914],"category_scores_gemma":[0.0010639982,0.00031008205,0.0005474094,0.0005224603,0.0003318109,0.0006765865,0.00030539697,0.00042872352,0.00045508592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017034484,0.00001826292,0.0031623326,0.000024251958,0.000013840125,0.000046656376,0.00001577142,0.9925938,0.0016789457,0.00026815623,0.0002418499,0.001765732],"study_design_scores_gemma":[0.00001978239,0.000025779973,0.003993943,0.0000033866504,0.00001713204,0.00001218789,0.000013652446,0.9938769,0.0016923728,0.00012149322,0.00021358544,0.000009733227],"about_ca_topic_score_codex":0.069874465,"about_ca_topic_score_gemma":0.029388977,"teacher_disagreement_score":0.069874465,"about_ca_system_score_codex":0.0009306663,"about_ca_system_score_gemma":0.0005348996,"threshold_uncertainty_score":0.1389355},"labels":[],"label_agreement":null},{"id":"W2899710779","doi":"10.30797/madencilik.479520","title":"ALTIN CEVHERLERİNİN KARAKTERİZASYONUNDA KULLANILAN MİKRO ANALİTİK YÖNTEMLER","year":2018,"lang":"tr","type":"article","venue":"Bilimsel Madencilik Dergisi","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Scanning electron microscope; Nuclear chemistry; Materials science; Electron microprobe; Chemistry; Analytical Chemistry (journal); Metallurgy; Composite material; Chromatography","score_opus":0.02270821214458535,"score_gpt":0.2472897826298461,"score_spread":0.22458157048526076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899710779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52050114,0.053932317,0.33636168,0.0029787873,0.0015508905,0.0009376719,0.0032626344,0.004018526,0.07645638],"genre_scores_gemma":[0.7492641,0.022967685,0.16335694,0.0012177777,0.00030014952,0.00055938255,0.0034833779,0.0010100508,0.057840534],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980026,0.00019601343,0.00013000588,0.00044509288,0.0010322107,0.00019401305],"domain_scores_gemma":[0.99821717,0.00036505287,0.00026729165,0.0001710076,0.0008856769,0.00009384627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012980476,0.0014028618,0.0012763214,0.0019673177,0.0011846375,0.003304418,0.00092013215,0.0016532101,0.0103710145],"category_scores_gemma":[0.0018355008,0.00079357484,0.0012111005,0.0015074492,0.0013095802,0.0024273193,0.0012325129,0.0018435866,0.0041075256],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082978443,0.00017367113,0.0066600097,0.0025700685,0.00012866153,0.001164239,0.00080667395,0.0029430606,0.83905196,0.004515745,0.004525285,0.136631],"study_design_scores_gemma":[0.000034757035,0.0006529452,0.015396969,0.00031038316,0.00021318778,0.0022041767,0.0012188756,0.008383939,0.8686142,0.0032797256,0.09950583,0.00018488315],"about_ca_topic_score_codex":0.0031991499,"about_ca_topic_score_gemma":0.0041963896,"teacher_disagreement_score":0.0103710145,"about_ca_system_score_codex":0.0010337683,"about_ca_system_score_gemma":0.0013857682,"threshold_uncertainty_score":0.034694433},"labels":[],"label_agreement":null},{"id":"W2900951526","doi":"10.36487/acg_rep/1815_07_nadolski","title":"An approach to evaluating block and panel cave projects for sensor-based sorting applications","year":2018,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sorting; Block (permutation group theory); Computer science; Cave; Algorithm; Geography; Mathematics; Archaeology","score_opus":0.09419880406510944,"score_gpt":0.32818201097111016,"score_spread":0.23398320690600072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900951526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6191814,0.00017771531,0.30949798,0.00019926131,0.000050729494,0.0052332683,0.00416395,0.0012069045,0.06028872],"genre_scores_gemma":[0.6281636,0.00013103541,0.36205423,0.000025568328,0.0000062321233,0.002070939,0.0010168642,0.000056884703,0.0064747096],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99710685,0.0009005295,0.0002220963,0.00023344562,0.0013574818,0.00017976749],"domain_scores_gemma":[0.996075,0.0010634682,0.0005635538,0.00024063404,0.0018610192,0.0001962674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031864494,0.0008432026,0.00057024177,0.003986598,0.00089044985,0.0020535307,0.0013335262,0.0007404664,0.0036875587],"category_scores_gemma":[0.006620004,0.0004365364,0.0005518295,0.0036432773,0.00044803362,0.0009813196,0.0013462983,0.0003906391,0.00070373266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013284562,0.0013796677,0.25999898,0.0010243603,0.00022650338,0.0011071761,0.004053526,0.13524891,0.06927455,0.011167409,0.0049146228,0.5102759],"study_design_scores_gemma":[0.00029723364,0.006419717,0.32978138,0.00030820104,0.00023076896,0.0008475485,0.022335015,0.53897494,0.056162365,0.008394716,0.0358876,0.00036051671],"about_ca_topic_score_codex":0.015123639,"about_ca_topic_score_gemma":0.05373601,"teacher_disagreement_score":0.015123639,"about_ca_system_score_codex":0.002032034,"about_ca_system_score_gemma":0.0030651647,"threshold_uncertainty_score":0.030071199},"labels":[],"label_agreement":null},{"id":"W2901874692","doi":"10.4095/294852","title":"Targeted Geoscience Initiative 4 - uranium ore systems","year":2014,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Uranium ore; Uranium; Geochemistry; Earth science; Geology; Mining engineering; Metallurgy; Materials science","score_opus":0.04000613326432325,"score_gpt":0.25944340728433174,"score_spread":0.21943727402000848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901874692","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14378765,0.0010931196,0.020952644,0.0036008914,0.0005996923,0.003537876,0.1337226,0.0055234944,0.687182],"genre_scores_gemma":[0.27980283,0.0012689767,0.047870833,0.00133559,0.000086501546,0.0015154408,0.18367596,0.0011680683,0.48327583],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99832827,0.00014508406,0.000019629919,0.0001059331,0.0010288202,0.00037226485],"domain_scores_gemma":[0.9992592,0.000049415325,0.00004793203,0.000085061154,0.00040242306,0.00015611753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016740455,0.00089183805,0.0004913421,0.0011358367,0.0014832655,0.0015409491,0.0016789648,0.0014036548,0.01982121],"category_scores_gemma":[0.0010849698,0.00036346895,0.0004773717,0.00079368526,0.00037610347,0.0011174163,0.0018194104,0.00092838524,0.00813778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040692603,0.0026676708,0.018963216,0.0007752045,0.00020152937,0.0009488561,0.00034825318,0.00921399,0.07883763,0.023026634,0.69899553,0.1619522],"study_design_scores_gemma":[0.00041051058,0.001404141,0.025460772,0.00007435368,0.00007649796,0.00046093867,0.0004975357,0.006934363,0.076461285,0.0033500826,0.88481975,0.000049737744],"about_ca_topic_score_codex":0.06142174,"about_ca_topic_score_gemma":0.12963368,"teacher_disagreement_score":0.06142174,"about_ca_system_score_codex":0.002963625,"about_ca_system_score_gemma":0.011001097,"threshold_uncertainty_score":0.12212849},"labels":[],"label_agreement":null},{"id":"W2902355004","doi":"10.17811/tdg.36.2016.81-94","title":"Aprovechamiento de metano en la cuenca carbonífera central asturiana: trabajos recientes The use of methane in the asturian central coal basin: recent work","year":2018,"lang":"es","type":"article","venue":"Trabajos de Geología","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Coal basin; Humanities; Methane gas; Coal; Geology; Methane; Geography; Coal mining; Archaeology; Art; Chemistry","score_opus":0.028574823624278843,"score_gpt":0.24854688632729244,"score_spread":0.2199720627030136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902355004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99017906,0.006041078,0.00026472972,0.00012558117,0.000013536508,0.000016956417,0.000079500685,0.000008680981,0.0032708938],"genre_scores_gemma":[0.9878235,0.007006541,0.0013510354,0.00006857032,0.00003350735,0.000009478515,0.00012360197,0.000005247288,0.0035784114],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997856,0.000036958245,0.000007739816,0.00006195211,0.000059659957,0.00004803212],"domain_scores_gemma":[0.99962056,0.00009391585,0.00008420409,0.000016827844,0.00014834321,0.000036124802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072025193,0.00034748856,0.00025027074,0.0009091885,0.00087487814,0.00084693247,0.00055865804,0.0003719848,0.00068965496],"category_scores_gemma":[0.00030999546,0.00011089718,0.00034185042,0.0014834851,0.000811185,0.000351355,0.00033026887,0.00030083425,0.00007324933],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025153416,0.0011109522,0.2886776,0.00505209,0.00052577,0.003248166,0.018958583,0.0066677514,0.29044887,0.0019829131,0.0013632502,0.3794487],"study_design_scores_gemma":[0.00003601487,0.0020558785,0.8725152,0.00027491257,0.00031561774,0.0007577886,0.012222276,0.0015521855,0.06410475,0.00033375467,0.045766074,0.00006562821],"about_ca_topic_score_codex":0.097679906,"about_ca_topic_score_gemma":0.18363407,"teacher_disagreement_score":0.097679906,"about_ca_system_score_codex":0.00263577,"about_ca_system_score_gemma":0.0015809647,"threshold_uncertainty_score":0.19422269},"labels":[],"label_agreement":null},{"id":"W2902394509","doi":"10.1016/j.powtec.2018.11.076","title":"Reducing comminution over-grinding of powder coatings with modified grinding pins in an air classifier mill","year":2018,"lang":"en","type":"article","venue":"Powder Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Comminution; Grinding; Ball mill; Materials science; Particle size; Particle-size distribution; Mill; Metallurgy; Coating; Composite material; Mechanical engineering; Engineering; Chemical engineering","score_opus":0.017801857370632307,"score_gpt":0.24961295401566178,"score_spread":0.23181109664502947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902394509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96434385,0.00067238335,0.031216314,0.00007306895,0.00007913041,0.000096669624,0.00009847037,0.00044345006,0.0029767528],"genre_scores_gemma":[0.9517005,0.0003225092,0.043487765,0.000057745397,0.000020341284,0.00003846398,0.0001470874,0.0001863385,0.0040393546],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992731,0.000038413687,0.000051942847,0.00014626715,0.00040548286,0.00008481447],"domain_scores_gemma":[0.99944514,0.0001434974,0.0001314525,0.00009115676,0.00015145264,0.000037393787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006535265,0.0003860437,0.0005468414,0.00063519395,0.00039839192,0.0005089112,0.00075639,0.0005496937,0.0019179144],"category_scores_gemma":[0.00096554606,0.00044247697,0.00047252575,0.00048723182,0.00028246787,0.00052872224,0.0003439591,0.00074974215,0.00042014362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008986071,0.000024989427,0.0005409866,0.00007910051,0.000008814303,0.000055952874,0.000050389986,0.00029468915,0.99151576,0.000096736185,0.000099079996,0.0071436046],"study_design_scores_gemma":[0.00001220722,0.0002420872,0.0065880064,0.0000069662515,0.000021010515,0.00010481561,0.000027579637,0.0028943955,0.9882492,0.000030012025,0.0018165312,0.0000071652994],"about_ca_topic_score_codex":0.0021820592,"about_ca_topic_score_gemma":0.008328761,"teacher_disagreement_score":0.0021820592,"about_ca_system_score_codex":0.00047852413,"about_ca_system_score_gemma":0.00057946454,"threshold_uncertainty_score":0.0064160824},"labels":[],"label_agreement":null},{"id":"W2905828574","doi":"","title":"The Pre-Concentration of the Nechalacho Deposit: Selective Comminution","year":2017,"lang":"en","type":"article","venue":"2017-Sustainable Industrial Processing Summit","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Zircon; Comminution; Grind; Grinding; Gangue; Mineral; Mineral processing; Geology; Mineralogy; Rare-earth element; Metallurgy; Ball mill; Geochemistry; Rare earth; Materials science","score_opus":0.023346896748484492,"score_gpt":0.2501152000249171,"score_spread":0.2267683032764326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905828574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99581736,0.00018293291,0.0012146401,0.000021718133,0.000005276913,0.000044553624,0.00019409198,0.000020425505,0.002499052],"genre_scores_gemma":[0.9892742,0.00022428279,0.0050651263,0.000026922446,0.000002375434,0.00003209718,0.00029699612,0.00002410644,0.0050538764],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998172,0.0000058025194,0.000008531844,0.000054571443,0.000081291524,0.000032542306],"domain_scores_gemma":[0.9999188,0.000011550043,0.000014531834,0.00000836303,0.000036622707,0.000010158757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016060875,0.00020749713,0.00031533468,0.00033903244,0.00047345136,0.000389649,0.00026584574,0.0002696146,0.0010784746],"category_scores_gemma":[0.00021874455,0.000120898396,0.0001467311,0.00028163102,0.00025542956,0.00016983354,0.00032378203,0.00026670867,0.00021344058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001481551,0.000018150098,0.0050956714,0.000069660426,0.0000058070705,0.00012868832,0.00010066205,0.00012126191,0.98827934,0.00006238368,0.00006043229,0.0059097214],"study_design_scores_gemma":[0.00001273824,0.00025329454,0.049441222,0.000010865813,0.000015812228,0.00016221766,0.00013685317,0.0006258825,0.94607216,0.000037871992,0.0032245535,0.0000065058825],"about_ca_topic_score_codex":0.020153161,"about_ca_topic_score_gemma":0.07931765,"teacher_disagreement_score":0.020153161,"about_ca_system_score_codex":0.0007203628,"about_ca_system_score_gemma":0.0006304862,"threshold_uncertainty_score":0.040071726},"labels":[],"label_agreement":null},{"id":"W2910796490","doi":"10.4095/214832","title":"Fluid evolution and pressure regimes in the Campbell - Red Lake gold deposit, Red Lake mine trend, Red Lake, Ontario: fluid-inclusion evidence for a protracted, highly dynamic hydrothermal system","year":2003,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Hydrothermal circulation; Inclusion (mineral); Oceanography; Pore water pressure; Geochemistry; Fluid inclusions; Hydrology (agriculture); Mineralogy; Paleontology; Geotechnical engineering","score_opus":0.021735970915841476,"score_gpt":0.25068953076281664,"score_spread":0.22895355984697516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910796490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99914885,0.00007474319,0.0000610191,0.000013561111,6.096319e-7,0.0000058050477,0.00012378393,0.0000068597074,0.000564653],"genre_scores_gemma":[0.9988028,0.00006550757,0.00028664284,0.000009772983,0.0000012941227,0.0000062192107,0.00013071942,0.0000039075326,0.00069315435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999819,0.000006052972,0.000009266997,0.00004377764,0.00008581159,0.00003613211],"domain_scores_gemma":[0.9998336,0.0000150169435,0.000041867846,0.0000057543516,0.00007711818,0.00002661884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001153385,0.00020496272,0.00020644549,0.0011560197,0.0014879856,0.000685752,0.00045073472,0.0003670106,0.0006807454],"category_scores_gemma":[0.00036759183,0.00032438978,0.0001363964,0.0009889177,0.001058011,0.00027843946,0.0005957241,0.00015936197,0.00011019008],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003433752,0.000039526083,0.7247781,0.00020801001,0.00006974829,0.0014054321,0.007690862,0.0006687425,0.2508267,0.0002561195,0.0003021206,0.013411221],"study_design_scores_gemma":[0.0000093562185,0.000023246033,0.9944825,0.000006044264,0.000009805897,0.00013371276,0.00068179914,0.00041006986,0.003368949,0.000022201373,0.0008458047,0.0000066624257],"about_ca_topic_score_codex":0.68583846,"about_ca_topic_score_gemma":0.8546513,"teacher_disagreement_score":0.31416154,"about_ca_system_score_codex":0.0033475652,"about_ca_system_score_gemma":0.0020578885,"threshold_uncertainty_score":0.6320234},"labels":[],"label_agreement":null},{"id":"W2911476508","doi":"10.1016/j.cherd.2019.01.018","title":"Mixing of highly concentrated slurries of large particles: Applications of electrical resistance tomography (ERT) and response surface methodology (RSM)","year":2019,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impeller; Slurry; Homogeneity (statistics); Materials science; Mixing (physics); Response surface methodology; Particle size; Agitator; Suspension (topology); Composite material; Chemical engineering; Chromatography; Mechanical engineering; Chemistry; Engineering; Mathematics","score_opus":0.009672810346146468,"score_gpt":0.22146992608271107,"score_spread":0.2117971157365646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911476508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92717135,0.0007260262,0.06960537,0.00021451921,0.00010777819,0.00013983587,0.00013869819,0.0003303288,0.0015661974],"genre_scores_gemma":[0.9280104,0.0003842272,0.068988465,0.00011579426,0.000049511436,0.00006579423,0.00022342501,0.00012651052,0.002035915],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927443,0.00014535764,0.000060313592,0.00020162863,0.00027236604,0.000045975095],"domain_scores_gemma":[0.99938774,0.000282397,0.00011530447,0.000074281495,0.000109579254,0.000030644915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009269101,0.00045833038,0.00058546575,0.00042356362,0.00025661467,0.00081269455,0.00034225787,0.0008358788,0.00065566885],"category_scores_gemma":[0.0014286307,0.00028704395,0.00031706988,0.00027563577,0.00035583225,0.00078433624,0.00040395182,0.0009739176,0.00032311195],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006639287,0.00003050906,0.00019062219,0.000028898983,0.000007150019,0.000026624844,0.000031871507,0.00018619097,0.99689674,0.00006473728,0.000018743101,0.002451485],"study_design_scores_gemma":[0.000011198009,0.00020180315,0.00088768033,0.0000022775707,0.000009223116,0.000039427592,0.000030387655,0.0036829712,0.99459404,0.000054010343,0.00048069734,0.000006378991],"about_ca_topic_score_codex":0.00045954876,"about_ca_topic_score_gemma":0.00097585336,"teacher_disagreement_score":0.0009269101,"about_ca_system_score_codex":0.00027281736,"about_ca_system_score_gemma":0.0002478224,"threshold_uncertainty_score":0.004902065},"labels":[],"label_agreement":null},{"id":"W2912147808","doi":"10.1007/s00603-019-1743-y","title":"Experimental Investigation on the Effects of Microwave Treatment on Basalt Heating, Mechanical Strength, and Fragmentation","year":2019,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":132,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Postdoctoral Research Foundation of China; National Natural Science Foundation of China","keywords":"Materials science; Breakage; Basalt; Microwave; Composite material; Compressive strength; Olivine; Ultimate tensile strength; Mineralogy; Geology","score_opus":0.008142349145599278,"score_gpt":0.1989976960026387,"score_spread":0.19085534685703942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912147808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99665856,0.00021727373,0.0018152065,0.0000126394325,0.000007786371,0.00002625418,0.00011772627,0.000020015877,0.0011243969],"genre_scores_gemma":[0.9976793,0.00019635884,0.0011415852,0.000012733212,0.000006287295,0.000024296929,0.00012081488,0.000013096365,0.0008056511],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983895,0.00001962158,0.000009892222,0.00003471846,0.00004453154,0.0000522137],"domain_scores_gemma":[0.9995803,0.00020025538,0.000053450167,0.00006632338,0.000077760116,0.000021778425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032142736,0.00031453,0.00030372996,0.00018685986,0.00047302482,0.00016252488,0.00025220355,0.0002869509,0.0029276782],"category_scores_gemma":[0.0005971791,0.00018518584,0.0002216982,0.0003159082,0.00039991815,0.0002083248,0.00016821896,0.00042704094,0.00022246237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042205586,0.00008345728,0.0006635174,0.000056493554,0.0000070761917,0.00002874258,0.00006534483,0.00018842863,0.9967719,0.000058175898,0.000028111965,0.0016265918],"study_design_scores_gemma":[0.000019204372,0.0007008882,0.0058413534,0.0000031890165,0.000017532335,0.000043808333,0.00004871974,0.00041024198,0.9923012,0.000023954351,0.0005845427,0.00000543117],"about_ca_topic_score_codex":0.00080391887,"about_ca_topic_score_gemma":0.0010892666,"teacher_disagreement_score":0.0029276782,"about_ca_system_score_codex":0.00020789736,"about_ca_system_score_gemma":0.00018292129,"threshold_uncertainty_score":0.009794116},"labels":[],"label_agreement":null},{"id":"W2914939205","doi":"","title":"A DFN-DEM Multi-Scale Modeling Approach for Jointed Rock Mass","year":2018,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Rock mass classification; Geology; Scale (ratio); Geotechnical engineering; Geography; Cartography","score_opus":0.04301413633264057,"score_gpt":0.2529683341257976,"score_spread":0.20995419779315705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914939205","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05236427,0.00042516016,0.92989385,0.00031035737,0.00015667889,0.000109636814,0.0019888415,0.003746862,0.011004305],"genre_scores_gemma":[0.734969,0.000428603,0.25408,0.00017693377,0.000090040914,0.0002427789,0.0025745588,0.0008785037,0.0065594674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983466,0.000023917888,0.000013984776,0.000053583568,0.000051575214,0.000022259675],"domain_scores_gemma":[0.99968314,0.00008793955,0.0000329807,0.000053709686,0.00011205916,0.000030186902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003654226,0.0008713698,0.0009543143,0.0009387553,0.00080615963,0.0011239868,0.0021620872,0.0017051738,0.005021457],"category_scores_gemma":[0.0012404309,0.0009929546,0.0011575007,0.0012088738,0.0004168655,0.0011969176,0.0010203258,0.0009686633,0.0010310737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010040501,0.00001812121,0.00036415845,0.00001922796,0.000023232617,0.000030016654,0.000014822635,0.99067783,0.0004553242,0.0007731503,0.0003464195,0.0072676865],"study_design_scores_gemma":[0.0000018187424,0.0000013446949,0.00005925532,0.000001727726,0.000002414026,0.000003410558,0.0000034353448,0.99926215,0.00006733796,0.00033963242,0.0002548786,0.0000026080768],"about_ca_topic_score_codex":0.063512586,"about_ca_topic_score_gemma":0.06252688,"teacher_disagreement_score":0.063512586,"about_ca_system_score_codex":0.0010758553,"about_ca_system_score_gemma":0.0014926248,"threshold_uncertainty_score":0.12628579},"labels":[],"label_agreement":null},{"id":"W2922543726","doi":"10.22215/etd/2018-12942","title":"Utilization of Ultraviolet-Visible Spectroscopy and Rheology for Sludge Characterization and Monitoring","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Rheology; Absorbance; Effluent; Aerobic digestion; Activated sludge; Ultraviolet visible spectroscopy; Sewage treatment; Chemistry; Ultraviolet; Wastewater; Pulp and paper industry; Characterization (materials science); Environmental science; Process engineering; Waste management; Materials science; Chromatography; Environmental engineering; Engineering; Nanotechnology; Composite material","score_opus":0.018904125104606928,"score_gpt":0.2830742970290464,"score_spread":0.2641701719244395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922543726","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39776307,0.08268483,0.45523316,0.0013226009,0.0014306352,0.0004806296,0.0014861734,0.0019208022,0.05767798],"genre_scores_gemma":[0.7035154,0.053651318,0.21011439,0.00071718195,0.0004423105,0.00032208094,0.0014597145,0.00041876078,0.029358834],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987903,0.0002581421,0.00006672866,0.00032379382,0.00047947458,0.00008157051],"domain_scores_gemma":[0.9990746,0.0003203429,0.0001123731,0.00015770046,0.00027854255,0.000056301255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001619305,0.000947326,0.00069094734,0.0016657265,0.00045762202,0.0012524758,0.0004701143,0.00080031535,0.0019673035],"category_scores_gemma":[0.0014519404,0.0003683708,0.0006207864,0.0012213407,0.0005511884,0.0013758589,0.00062991737,0.0010884176,0.0016608071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009432311,0.00016345094,0.0014497795,0.0007668865,0.00004509611,0.000039916187,0.00007511723,0.0002944365,0.897189,0.00056738,0.000502395,0.09881213],"study_design_scores_gemma":[0.000008879845,0.00034599417,0.00527267,0.00007361641,0.000057321035,0.0002030727,0.000089617606,0.0013730022,0.9802833,0.00080600445,0.011438865,0.00004757318],"about_ca_topic_score_codex":0.00034848248,"about_ca_topic_score_gemma":0.00089015934,"teacher_disagreement_score":0.0019673035,"about_ca_system_score_codex":0.0002489613,"about_ca_system_score_gemma":0.0006678483,"threshold_uncertainty_score":0.008563817},"labels":[],"label_agreement":null},{"id":"W2922839144","doi":"10.4095/313629","title":"Applications of machine learning to geoscience: nanoporosity and fluid flow in tight formations","year":2019,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Flow (mathematics); Fluid dynamics; Petroleum engineering; Computer science; Mechanics; Physics","score_opus":0.011731782127116806,"score_gpt":0.2496781429705988,"score_spread":0.23794636084348197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922839144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5392781,0.03540955,0.30234388,0.010029334,0.0012861438,0.0003688267,0.007998475,0.0019147228,0.10137093],"genre_scores_gemma":[0.8059694,0.02208081,0.081743784,0.00013892102,0.0005300635,0.00008869366,0.0053604892,0.00025180646,0.08383597],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996364,0.000042541094,0.000010754124,0.000068248686,0.0002007801,0.00004122249],"domain_scores_gemma":[0.9991447,0.00044655983,0.000056068897,0.000050431096,0.00024660953,0.000055674973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007305771,0.0004008378,0.00041327593,0.0014988863,0.00039650014,0.0009656386,0.00037665042,0.0006300831,0.0043542236],"category_scores_gemma":[0.0011457386,0.00014148135,0.00026687884,0.0019386543,0.0005742712,0.0011795138,0.00072635704,0.0006145188,0.0009768463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007107592,0.0008903057,0.020147456,0.0008678193,0.000084100175,0.00052056124,0.00029934826,0.12494201,0.07513424,0.033978786,0.0394295,0.7029951],"study_design_scores_gemma":[0.00004572341,0.00042065876,0.03497906,0.000109178916,0.000058618825,0.0004108734,0.0005230227,0.36660025,0.41269156,0.047253344,0.1367989,0.00010885506],"about_ca_topic_score_codex":0.008786859,"about_ca_topic_score_gemma":0.009814779,"teacher_disagreement_score":0.008786859,"about_ca_system_score_codex":0.0008869024,"about_ca_system_score_gemma":0.0007285241,"threshold_uncertainty_score":0.017471433},"labels":[],"label_agreement":null},{"id":"W2924737215","doi":"10.29173/ikc3916","title":"Kimberlitic olivine attrition: fingerprinting environments and timescales","year":2019,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Attrition; Olivine; Geology; Computer science; Geochemistry","score_opus":0.00339705601213974,"score_gpt":0.1592872017146725,"score_spread":0.15589014570253276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924737215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915113,0.0006740578,0.0045374087,0.000057338144,0.000011748087,0.000011456456,0.00038659407,0.00016318282,0.0026469762],"genre_scores_gemma":[0.9966492,0.00020713276,0.0014438624,0.000014942587,0.000006770694,0.000008080356,0.00024996826,0.00005014999,0.0013698888],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998876,0.0000048387533,0.0000045094403,0.000046111003,0.000026176021,0.000030753545],"domain_scores_gemma":[0.99968505,0.00007583256,0.00010520471,0.000026763455,0.00007266678,0.000034481363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002238076,0.00022081278,0.00016098683,0.000860639,0.0004974946,0.00058965065,0.00034560115,0.0002888349,0.0033578007],"category_scores_gemma":[0.00078959996,0.00014111273,0.00012450748,0.0005823461,0.00025424678,0.0006726518,0.00031868607,0.00032091845,0.0004059422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073264295,0.00010073211,0.103596345,0.00015084274,0.000047304897,0.00025494548,0.0005556543,0.00074512843,0.85762256,0.0005122878,0.00037289923,0.03530862],"study_design_scores_gemma":[0.00001828159,0.0002991745,0.5388865,0.000043583117,0.000066840614,0.0006720632,0.00087852956,0.011614078,0.43853682,0.00047306748,0.008471779,0.000039316958],"about_ca_topic_score_codex":0.0026890144,"about_ca_topic_score_gemma":0.004672147,"teacher_disagreement_score":0.0033578007,"about_ca_system_score_codex":0.00028085156,"about_ca_system_score_gemma":0.00016788166,"threshold_uncertainty_score":0.011232972},"labels":[],"label_agreement":null},{"id":"W2926791269","doi":"10.1016/j.mineng.2019.03.024","title":"Experimental evaluation of the conjugate anvil hammer mill – Comparison of semi-confined to confined particle breakage","year":2019,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"China Scholarship Council; University of British Columbia; Mitacs","keywords":"Comminution; Breakage; Grinding; Crusher; Hammer; Tableting; Piston (optics); Compression (physics); Materials science; Metallurgy; Particle (ecology); Particle size; Composite material; Process engineering; Mechanical engineering; Engineering; Geology","score_opus":0.024469736966302925,"score_gpt":0.269884394042682,"score_spread":0.24541465707637908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2926791269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99020374,0.00014920761,0.008519234,0.000015565192,0.000016918379,0.000035886165,0.0000832085,0.00010992628,0.000866404],"genre_scores_gemma":[0.9935929,0.00009159211,0.0047322004,0.000009315864,0.0000042745523,0.000022365166,0.0000648513,0.000022912818,0.0014596381],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99956626,0.00002781678,0.000025731275,0.000115402414,0.00021151372,0.000053328848],"domain_scores_gemma":[0.9990214,0.00033402265,0.00015663599,0.00021024958,0.00020540891,0.00007225235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048150416,0.00031567787,0.00036769296,0.0002348759,0.00047356554,0.00055889104,0.00059165305,0.0006194805,0.0030365486],"category_scores_gemma":[0.0008435875,0.00023500896,0.00022758562,0.00026374302,0.00062966347,0.00052824465,0.0005498745,0.0005040985,0.00033731488],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006626994,0.00020717505,0.0007136591,0.00011262463,0.000010337791,0.00003652821,0.00011570222,0.0011729719,0.98904043,0.00017836099,0.00005016841,0.0076992386],"study_design_scores_gemma":[0.000029958359,0.0015642722,0.009121065,0.000005448465,0.00001554071,0.000043434997,0.0000863551,0.005583172,0.9826193,0.000048961934,0.0008657375,0.000016723483],"about_ca_topic_score_codex":0.00082361564,"about_ca_topic_score_gemma":0.0016911903,"teacher_disagreement_score":0.0030365486,"about_ca_system_score_codex":0.00031698585,"about_ca_system_score_gemma":0.00035385904,"threshold_uncertainty_score":0.0101583},"labels":[],"label_agreement":null},{"id":"W2936098869","doi":"10.1201/9780203747919-23","title":"Comparing systems — Validation of FragScan, WipFrag and Split","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.02821709667190369,"score_gpt":0.21147209011638643,"score_spread":0.18325499344448273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936098869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.754135,0.0020011591,0.21187723,0.00036579234,0.00025294453,0.0019752053,0.0043679667,0.006309403,0.018715251],"genre_scores_gemma":[0.70424736,0.0010996483,0.25873706,0.00033935977,0.000065993365,0.0015647006,0.010622682,0.0017679152,0.02155534],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9934335,0.00078796234,0.00030183725,0.00072077196,0.004525396,0.0002305033],"domain_scores_gemma":[0.99154913,0.0019235972,0.00040739897,0.0012064343,0.004748421,0.0001649512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006237788,0.00097506744,0.0006176638,0.0025251785,0.0007636764,0.0013236218,0.0024072404,0.0011443376,0.0051689567],"category_scores_gemma":[0.009102929,0.00047508246,0.00044341327,0.0016051342,0.0009845903,0.0016055959,0.0017481878,0.00076108024,0.0025716445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0045485515,0.0013123736,0.048383635,0.0013228003,0.0002613157,0.0004166876,0.00210456,0.023307618,0.5152396,0.0041109985,0.013335314,0.38565654],"study_design_scores_gemma":[0.00025899318,0.0045666625,0.07967201,0.00019878577,0.0001648072,0.0010629687,0.0009429141,0.054965008,0.8162044,0.0013961693,0.0403709,0.00019630203],"about_ca_topic_score_codex":0.0058864905,"about_ca_topic_score_gemma":0.008818229,"teacher_disagreement_score":0.006237788,"about_ca_system_score_codex":0.0015580485,"about_ca_system_score_gemma":0.001244365,"threshold_uncertainty_score":0.032988966},"labels":[],"label_agreement":null},{"id":"W2939184648","doi":"","title":"Flow conditions inside spiral jet mills and impact on grinding performance","year":2018,"lang":"en","type":"dissertation","venue":"DuEPublico (University of Duisburg-Essen)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Grinding; Comminution; Spiral (railway); Jet (fluid); Mill; Mechanics; Mechanical engineering; Flow (mathematics); Turbulence; Materials science; Particle image velocimetry; Engineering drawing; Engineering; Physics; Metallurgy","score_opus":0.00889451958668957,"score_gpt":0.21582600992338563,"score_spread":0.20693149033669606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939184648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958341,0.00067464664,0.0023475732,0.000040251984,0.000019957233,0.000016445849,0.00014186153,0.0001475636,0.00077757624],"genre_scores_gemma":[0.99770653,0.000337133,0.0012772991,0.000020227882,0.00000671571,0.000007210046,0.00016441899,0.000032011096,0.0004484499],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960524,0.000035785266,0.000022030816,0.00011865533,0.00012916348,0.00008914707],"domain_scores_gemma":[0.9991762,0.0003321404,0.00020118454,0.00005622708,0.0001702683,0.000064043685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054538087,0.00045775535,0.0004703444,0.00061023975,0.0004746805,0.0015234838,0.00028269173,0.00055026484,0.0019370192],"category_scores_gemma":[0.0014676893,0.00023417511,0.00030150727,0.00050564716,0.00057120976,0.0006038875,0.0002794842,0.00048900826,0.0004173639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016020427,0.00013583341,0.021037588,0.00029860972,0.000017149781,0.0006692535,0.0003052145,0.0060514947,0.9419358,0.00037871706,0.00032524977,0.02724313],"study_design_scores_gemma":[0.000087037726,0.00197981,0.14762874,0.00007338446,0.00006791155,0.00044851983,0.00093476835,0.021169864,0.82389176,0.0005740569,0.0030275304,0.00011667668],"about_ca_topic_score_codex":0.0021116824,"about_ca_topic_score_gemma":0.001852741,"teacher_disagreement_score":0.0021116824,"about_ca_system_score_codex":0.0004553291,"about_ca_system_score_gemma":0.00039630727,"threshold_uncertainty_score":0.006480038},"labels":[],"label_agreement":null},{"id":"W2939401609","doi":"","title":"Training Center for Artisanal Miners: Moving towards Effective Formalization and Mercury Reduction in Antioquia, Colombia","year":2015,"lang":"en","type":"article","venue":"2015-Sustainable Industrial Processing Summit","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Gold mining; Tailings; Business; Gold ore; Mercury pollution; Environmental protection; Pollution; Waste management; Environmental science; Mining engineering; Engineering; Chemistry; Geology; Geochemistry; Computer science","score_opus":0.047396040973343406,"score_gpt":0.28213860167880345,"score_spread":0.23474256070546004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939401609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7633957,0.014841734,0.0023909798,0.061206423,0.001602308,0.0010876182,0.0008021403,0.00037434953,0.15429878],"genre_scores_gemma":[0.9511138,0.0039895484,0.002952011,0.002714435,0.00013387587,0.00025017984,0.00033104053,0.000038530296,0.038476497],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993149,0.00014522343,0.000017918537,0.0000674807,0.0001085316,0.0003459633],"domain_scores_gemma":[0.99796534,0.00012020022,0.00012090797,0.000030676747,0.00031249542,0.0014503603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009248529,0.00030973548,0.00018052339,0.000710626,0.0034992609,0.0015948352,0.0012145402,0.0008767128,0.01536128],"category_scores_gemma":[0.0014513232,0.00019787831,0.00020016418,0.00038633237,0.0012357091,0.00074179994,0.0025622621,0.0011544867,0.00093184464],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007625306,0.00225046,0.20661822,0.0052213455,0.0000450729,0.004200888,0.056142703,0.0007044249,0.015407584,0.015904512,0.14554271,0.5471994],"study_design_scores_gemma":[0.00013152932,0.0004643722,0.3559693,0.0015810698,0.000032932327,0.0008104709,0.08473034,0.0007233255,0.0010031234,0.00095020194,0.5535399,0.00006345529],"about_ca_topic_score_codex":0.16135423,"about_ca_topic_score_gemma":0.34438607,"teacher_disagreement_score":0.16135423,"about_ca_system_score_codex":0.0054314546,"about_ca_system_score_gemma":0.017062344,"threshold_uncertainty_score":0.3208301},"labels":[],"label_agreement":null},{"id":"W2940591949","doi":"10.48550/arxiv.1904.12190","title":"Geological modeling using a recursive convolutional neural networks approach","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Lithology; Convolutional neural network; Computer science; Geology; Artificial neural network; Mineralization (soil science); Data mining; Process (computing); Mining engineering; Resource (disambiguation); Artificial intelligence; Petrology; Soil science","score_opus":0.11345077408091254,"score_gpt":0.18352430064361364,"score_spread":0.07007352656270109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940591949","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022074126,0.00019269659,0.97455364,0.00018172292,0.00001887349,0.000016440463,0.00017278566,0.00056190003,0.0022278784],"genre_scores_gemma":[0.7397234,0.0005607971,0.25211203,0.000104755556,0.00006204051,0.00012547802,0.00048223595,0.00016137176,0.006667946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986684,0.000032411608,0.000009011132,0.000040861796,0.00003338091,0.000017420074],"domain_scores_gemma":[0.9996598,0.00017954808,0.000051891882,0.00003056959,0.00006419566,0.000014005913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032364717,0.0004849623,0.00038677143,0.00064079656,0.00023583048,0.00071034,0.001144021,0.0008321279,0.001318202],"category_scores_gemma":[0.0010989142,0.0004494821,0.00071397156,0.0006561255,0.00045497902,0.00073673704,0.0005639056,0.00061565783,0.0002975216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034580855,0.0000026158548,0.00018824253,0.0000065902836,0.000010049912,0.000013953494,0.0000073019623,0.99192315,0.00033751765,0.0033739533,0.000071534836,0.004061688],"study_design_scores_gemma":[3.604909e-7,9.857665e-7,0.00003890353,9.3098475e-7,0.0000011542146,0.000002661671,9.990399e-7,0.998604,0.00007691118,0.0011613813,0.00011067502,0.0000010113408],"about_ca_topic_score_codex":0.034329154,"about_ca_topic_score_gemma":0.03529942,"teacher_disagreement_score":0.034329154,"about_ca_system_score_codex":0.0012301966,"about_ca_system_score_gemma":0.0008910351,"threshold_uncertainty_score":0.06825864},"labels":[],"label_agreement":null},{"id":"W2943984451","doi":"10.3390/en12091735","title":"Image Recognition of Coal and Coal Gangue Using a Convolutional Neural Network and Transfer Learning","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":146,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China","keywords":"Convolutional neural network; Transfer of learning; Computer science; Workflow; Coal; Artificial intelligence; Gangue; Deep learning; Process (computing); Pattern recognition (psychology); Computer vision; Engineering; Database; Waste management","score_opus":0.013419898509178496,"score_gpt":0.20944689813237835,"score_spread":0.19602699962319986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943984451","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38649234,0.00037762278,0.60426825,0.00015733935,0.000106874766,0.00012947964,0.00026691338,0.0021007513,0.0061005293],"genre_scores_gemma":[0.8396731,0.00019147855,0.1547559,0.000068304515,0.000017453676,0.000044530225,0.00040474627,0.000054857905,0.0047896923],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998031,0.000014847965,0.00000799822,0.000066009125,0.00007560877,0.000032476713],"domain_scores_gemma":[0.99988115,0.000019529234,0.000016545391,0.000034232926,0.00003756354,0.000010939789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027337347,0.00044779794,0.00027664463,0.0009156072,0.00023172685,0.00042249923,0.00056268525,0.00055737677,0.0011176096],"category_scores_gemma":[0.00046720688,0.00021146737,0.00046902188,0.00068884203,0.0002941405,0.00083008735,0.000494492,0.00039694906,0.00040565556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025857284,0.00022280934,0.009487385,0.00014434176,0.00008357645,0.00043645967,0.000104016544,0.08418183,0.31601208,0.0028547635,0.0019411726,0.584273],"study_design_scores_gemma":[0.0000064555243,0.00009690424,0.011300361,0.0000095856085,0.000027309252,0.00029834846,0.00007031488,0.8602034,0.123175085,0.0012574033,0.0035243784,0.000030440116],"about_ca_topic_score_codex":0.0059438525,"about_ca_topic_score_gemma":0.008648707,"teacher_disagreement_score":0.0059438525,"about_ca_system_score_codex":0.0004687365,"about_ca_system_score_gemma":0.0004306433,"threshold_uncertainty_score":0.011818528},"labels":[],"label_agreement":null},{"id":"W2945636103","doi":"10.5382/econgeo.2019.4650","title":"Predictive Models of Mineralogy from Whole-Rock Assay Data: Case Study from the Productora Cu-Au-Mo Deposit, Chile","year":2019,"lang":"en","type":"article","venue":"Economic Geology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mineralogy; Geology; Pyrite; Mineral; Sulfide minerals; Sericite; Muscovite; Quartz; Clay minerals; Compositional data; Chemistry","score_opus":0.021755904786770988,"score_gpt":0.22344157548858176,"score_spread":0.20168567070181076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945636103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99235827,0.00014881055,0.0055793114,0.0001319148,0.0000041412222,0.00006347555,0.00082899246,0.00009553057,0.0007895525],"genre_scores_gemma":[0.9946526,0.000089916364,0.0034777985,0.000017634618,0.0000052788546,0.000054071814,0.0009810621,0.000014942035,0.0007065691],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996251,0.00014880383,0.000025170897,0.00011324544,0.00004532806,0.000042441658],"domain_scores_gemma":[0.994759,0.004092947,0.0003560755,0.00023255126,0.0004754363,0.00008390205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025988866,0.0008060502,0.00055167195,0.0012074871,0.00034974405,0.0012636604,0.0015975108,0.0007966279,0.0009504551],"category_scores_gemma":[0.005373152,0.0004459843,0.0007757195,0.0010877004,0.0006518268,0.0006694516,0.0007061713,0.00077925506,0.00019514536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021282258,0.00021710045,0.082543865,0.000131415,0.00010157454,0.00058950623,0.00015109281,0.9016996,0.001005916,0.00069108204,0.00080951286,0.011846547],"study_design_scores_gemma":[0.0000113003425,0.000034803652,0.011976406,0.000009496831,0.000010408496,0.000021997583,0.00010327719,0.986917,0.0003750974,0.0003432,0.00018577435,0.000011235747],"about_ca_topic_score_codex":0.13195689,"about_ca_topic_score_gemma":0.073770076,"teacher_disagreement_score":0.13195689,"about_ca_system_score_codex":0.0027519949,"about_ca_system_score_gemma":0.0011973989,"threshold_uncertainty_score":0.26237762},"labels":[],"label_agreement":null},{"id":"W2948160694","doi":"","title":"Effect of operating conditions on beneficiation of western Canadian coals by Air Dense Medium Fluidized Bed (ADMFB)","year":2014,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Beneficiation; Fluidization; Fluidized bed; Coal; Fly ash; Bituminous coal; Environmental science; Factorial experiment; Residence time (fluid dynamics); Particle size; Waste management; Environmental engineering; Materials science; Metallurgy; Engineering; Mathematics; Geotechnical engineering; Chemical engineering; Statistics","score_opus":0.004317677616228814,"score_gpt":0.22499524010357164,"score_spread":0.22067756248734283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948160694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990633,0.00015838689,0.0002682732,0.000010834239,0.0000058283804,0.000024320752,0.00014691705,0.000012279799,0.00030991546],"genre_scores_gemma":[0.9966175,0.00032632388,0.0015344926,0.000030446809,0.0000037451125,0.00003150693,0.0003204908,0.000017023644,0.0011184072],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99960226,0.000042717544,0.000029874538,0.0000804813,0.00014834886,0.000096288415],"domain_scores_gemma":[0.99960214,0.00013771057,0.00006514852,0.000018686682,0.000113786824,0.00006249535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034787573,0.0003755279,0.00047074363,0.00023641041,0.0006688579,0.00077449303,0.00036009142,0.0002831962,0.0011594595],"category_scores_gemma":[0.00078000466,0.00017192641,0.0003547284,0.00028537752,0.00037865323,0.00027501967,0.00034323015,0.00040299832,0.00017520213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004406036,0.00040084776,0.011048146,0.0003810509,0.000069987065,0.00020908729,0.00030740644,0.0012208406,0.968684,0.00005978341,0.0001733135,0.013039461],"study_design_scores_gemma":[0.000037231912,0.00445545,0.17357625,0.000023454972,0.0001651508,0.00013301015,0.00086719205,0.0024759523,0.81604236,0.000040256644,0.0021046365,0.00007893995],"about_ca_topic_score_codex":0.10824024,"about_ca_topic_score_gemma":0.16926263,"teacher_disagreement_score":0.89175975,"about_ca_system_score_codex":0.001169889,"about_ca_system_score_gemma":0.001488785,"threshold_uncertainty_score":0.21522045},"labels":[],"label_agreement":null},{"id":"W2950379617","doi":"10.1007/s42461-019-0083-5","title":"Investigations on the Charge Motion and Breakage Effect of the Magnetic Liner Mill Using DEM","year":2019,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Chinese Government Scholarship","keywords":"Breakage; Mill; Abrasion (mechanical); Grinding; Attrition; Discrete element method; Materials science; Dissipation; Service life; Comminution; Mechanics; Composite material; Structural engineering; Engineering; Forensic engineering; Mechanical engineering; Metallurgy; Physics","score_opus":0.022519569195912994,"score_gpt":0.21027064272938878,"score_spread":0.18775107353347578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950379617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969541,0.0002392663,0.0014975145,0.000035868576,0.000011914515,0.0000072492007,0.0000771545,0.000025792628,0.001151151],"genre_scores_gemma":[0.99838054,0.00006587674,0.00053728966,0.000008525095,0.0000036385982,0.0000020417656,0.00004260946,0.000004753948,0.00095474813],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981123,0.00002084571,0.000008624274,0.000041292897,0.0000863464,0.000031753072],"domain_scores_gemma":[0.9993949,0.0002480764,0.00009725536,0.00007360154,0.00015697785,0.000029218767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028898034,0.00015541626,0.00020868224,0.00040018055,0.00031877935,0.0002978187,0.00038144097,0.00037089843,0.0023840135],"category_scores_gemma":[0.00086103927,0.00012918327,0.00014080707,0.0003905683,0.00027174182,0.00043737152,0.0001730674,0.0003147949,0.00020704912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014604122,0.00009613186,0.010022592,0.00018563913,0.000023160774,0.0003943293,0.00032459485,0.0028187938,0.9588814,0.0006128055,0.00028199755,0.024898073],"study_design_scores_gemma":[0.00003821637,0.0012054779,0.085133135,0.000012817495,0.00005047381,0.0004172179,0.00052774895,0.021244003,0.8876004,0.0001438005,0.0035935163,0.000033185992],"about_ca_topic_score_codex":0.00085354777,"about_ca_topic_score_gemma":0.0010622764,"teacher_disagreement_score":0.0023840135,"about_ca_system_score_codex":0.0002671222,"about_ca_system_score_gemma":0.000088538596,"threshold_uncertainty_score":0.00797528},"labels":[],"label_agreement":null},{"id":"W2955091066","doi":"10.1134/s1062739118054915","title":"Lessons Learnt from Open Pit Wall Instabilities: Case Studies of BC Open Pit Hard Rock Mines","year":2018,"lang":"en","type":"article","venue":"Journal of Mining Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mining engineering; Open-pit mining; Geology; Mineral resource classification; Instability; Geotechnical engineering; Geochemistry","score_opus":0.13201480423335613,"score_gpt":0.37967569943114937,"score_spread":0.24766089519779325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955091066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983496,0.000707552,0.0011778383,0.0025950253,0.000018071123,0.000089638714,0.00009998576,0.000015182723,0.011800701],"genre_scores_gemma":[0.9892239,0.0014968525,0.0026524083,0.00020435182,0.000012550209,0.000021434716,0.00006300001,0.000023307137,0.006302087],"study_design_codex":"qualitative","study_design_gemma":"case_report","domain_scores_codex":[0.9978294,0.00073259644,0.00007771042,0.00012458065,0.00072535936,0.00051039207],"domain_scores_gemma":[0.99676204,0.001562483,0.0003336533,0.00013884698,0.000801694,0.00040123865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020862164,0.00059241056,0.0004806185,0.001469769,0.0075177,0.00315827,0.0020555074,0.002911781,0.0021337974],"category_scores_gemma":[0.0059964405,0.00042444095,0.00029569087,0.0023628497,0.0040576644,0.0014821768,0.0025971048,0.0017121328,0.0003017235],"study_design_candidate":"case_report","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005141341,0.001486498,0.18899606,0.0012917863,0.00011199556,0.09723715,0.43899027,0.02726793,0.008302118,0.01439224,0.01835252,0.20305729],"study_design_scores_gemma":[0.00004048503,0.00047755393,0.09307287,0.0008191982,0.000059479753,0.01329515,0.8100943,0.010662358,0.003477161,0.007411487,0.06046087,0.00012920919],"about_ca_topic_score_codex":0.3706236,"about_ca_topic_score_gemma":0.78242546,"teacher_disagreement_score":0.6293764,"about_ca_system_score_codex":0.00914615,"about_ca_system_score_gemma":0.00619233,"threshold_uncertainty_score":0.73693264},"labels":[],"label_agreement":null},{"id":"W2964157369","doi":"10.1002/cjce.23599","title":"Determination of clay content in Canadian oil sands using x‐ray florescence spectroscopy for diagnosis of ore processability","year":2019,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Illite; Oil sands; Tailings; Asphalt; Ashing; Mineralogy; Contamination; Environmental science; Materials science; Chemistry; Clay minerals; Metallurgy","score_opus":0.017441866049612773,"score_gpt":0.22392336335576268,"score_spread":0.2064814973061499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964157369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862196,0.0006682128,0.010797534,0.000050930517,0.000010485418,0.00006173816,0.0003977513,0.0001408607,0.0016529437],"genre_scores_gemma":[0.9837721,0.0004044261,0.013986533,0.000026059406,0.000002311065,0.000011410882,0.0001604057,0.000013150262,0.0016234993],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999549,0.000023688986,0.000016653634,0.000059643105,0.00030788328,0.00004312318],"domain_scores_gemma":[0.9997329,0.00004007469,0.000049299764,0.000010129666,0.00014008774,0.000027506996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034842367,0.00035328735,0.00021284533,0.0015519749,0.0005574777,0.0005389857,0.00033181408,0.00039295305,0.0006918734],"category_scores_gemma":[0.00042239693,0.00018301724,0.00023540523,0.00035847438,0.00040647507,0.00021940691,0.00025833255,0.00028726953,0.0001624925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015022268,0.000034964694,0.03225677,0.00010319987,0.0000229933,0.00012287752,0.00010793595,0.00046323123,0.9525207,0.00006407349,0.000082538245,0.01407051],"study_design_scores_gemma":[0.000016673988,0.00024586398,0.20212696,0.000031516993,0.000058739366,0.00035850218,0.0004541174,0.009362579,0.78446364,0.0000706586,0.0027603954,0.00005038543],"about_ca_topic_score_codex":0.12881885,"about_ca_topic_score_gemma":0.3501408,"teacher_disagreement_score":0.87118113,"about_ca_system_score_codex":0.0011172306,"about_ca_system_score_gemma":0.001209286,"threshold_uncertainty_score":0.25613815},"labels":[],"label_agreement":null},{"id":"W2964177407","doi":"10.2172/1542706","title":"Automated Particle Classifier Q3 FY19 Quarterly Report","year":2019,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Lawrence Livermore National Laboratory; U.S. Department of Energy","keywords":"Quarter (Canadian coin); Anticipation (artificial intelligence); Detector; Classifier (UML); Computer science; Artificial intelligence; History; Telecommunications","score_opus":0.03387592283400312,"score_gpt":0.28530349739073974,"score_spread":0.2514275745567366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964177407","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01779584,0.001908018,0.08278113,0.0065546045,0.0073569245,0.0022029807,0.49799818,0.031324964,0.35207742],"genre_scores_gemma":[0.022190982,0.00089040445,0.056375008,0.0003991665,0.000656119,0.0006476422,0.51756245,0.0030331244,0.39824516],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962004,0.00023236088,0.00013571196,0.00035864898,0.0028442233,0.00022865574],"domain_scores_gemma":[0.98821366,0.0009987085,0.00024777834,0.0009832111,0.009196066,0.00036058377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050315857,0.0011326801,0.0010836156,0.004164446,0.001400233,0.0034543327,0.0014407617,0.0011811857,0.13326797],"category_scores_gemma":[0.008172679,0.00054018246,0.0007814465,0.0027148514,0.00029696332,0.0017125362,0.0011421039,0.0010358035,0.15460102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009254223,0.00007543833,0.0013568175,0.000063665975,0.000013421462,0.00001900982,0.000010680051,0.0011849218,0.0012175781,0.0010153294,0.9126883,0.08226225],"study_design_scores_gemma":[0.000063018,0.00017283464,0.00937095,0.00007735551,0.000022329497,0.00007950064,0.00008038984,0.016275909,0.011397063,0.002271208,0.96015334,0.000036122612],"about_ca_topic_score_codex":0.05576329,"about_ca_topic_score_gemma":0.0665049,"teacher_disagreement_score":0.13326797,"about_ca_system_score_codex":0.0029142739,"about_ca_system_score_gemma":0.005288779,"threshold_uncertainty_score":0.44582576},"labels":[],"label_agreement":null},{"id":"W2964325626","doi":"10.20944/preprints202109.0285.v1","title":"Autonomous and Real-time Rock Image Classification using Convolutional Neural Networks","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Convolutional neural network; Artificial intelligence; Computer science; Generalizability theory; Software portability; Image (mathematics); Support vector machine; Set (abstract data type); Test set; Field (mathematics); Pattern recognition (psychology); Data set; Artificial neural network; Layer (electronics); Deep learning; Machine learning; Mathematics","score_opus":0.08579990080471435,"score_gpt":0.3073077775010656,"score_spread":0.22150787669635125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964325626","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44379947,0.00088366825,0.5363762,0.00036331132,0.0002393242,0.00015776369,0.0006354155,0.011144315,0.0064005693],"genre_scores_gemma":[0.91276926,0.00014836375,0.08216791,0.00007263134,0.00002648089,0.000051131436,0.00070487434,0.00009183432,0.003967585],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99973875,0.000024730494,0.000011427618,0.00008639862,0.00008295992,0.000055705743],"domain_scores_gemma":[0.9996294,0.00009239206,0.000050219664,0.00008684556,0.000118356205,0.000022829285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036998023,0.00078484055,0.00030155675,0.0006144421,0.00020222737,0.00048228487,0.00092648325,0.0006355564,0.0012536591],"category_scores_gemma":[0.0009004535,0.00032240886,0.00036694884,0.00041640518,0.00025037958,0.00076981506,0.0004337797,0.00054318045,0.00057702657],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044757573,0.00041395964,0.006334902,0.00011354821,0.0001428312,0.00022191033,0.000083217325,0.30761126,0.08676884,0.0013579512,0.0050412,0.5914628],"study_design_scores_gemma":[0.0000053890694,0.00003146429,0.0012275476,0.0000036988865,0.000008390393,0.00001904068,0.0000064006176,0.9852742,0.012507881,0.0003633763,0.00054593006,0.0000066513508],"about_ca_topic_score_codex":0.013060124,"about_ca_topic_score_gemma":0.015345061,"teacher_disagreement_score":0.013060124,"about_ca_system_score_codex":0.00068861106,"about_ca_system_score_gemma":0.00049515045,"threshold_uncertainty_score":0.025968194},"labels":[],"label_agreement":null},{"id":"W2964585506","doi":"10.2172/1544492","title":"Automated Particle Classifier Q3 FY18 Quarterly Report","year":2018,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Statistical analysis; Computer science; Statistical model; Statistical learning; Classifier (UML); Artificial intelligence; Machine learning; Data mining; Data science; Statistics; Mathematics; Geography; Archaeology","score_opus":0.038279001741857346,"score_gpt":0.29586719524886534,"score_spread":0.257588193507008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964585506","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027056534,0.002866973,0.16002747,0.02027968,0.020303618,0.0033222802,0.3504157,0.034338225,0.38138953],"genre_scores_gemma":[0.03895594,0.0015435431,0.07086426,0.00061766367,0.0015754374,0.0013513535,0.37918672,0.0044216015,0.5014835],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953955,0.00028127775,0.000155283,0.0004323206,0.003459007,0.00027657807],"domain_scores_gemma":[0.98132485,0.0011855884,0.00032221997,0.0013543422,0.01492714,0.00088592374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005866186,0.0009942581,0.00091375184,0.0027209232,0.0012672009,0.0031054989,0.0013879179,0.0011600644,0.10633708],"category_scores_gemma":[0.01031543,0.00043408934,0.000522357,0.0017943974,0.00036594202,0.0014546743,0.0013361495,0.0013740655,0.10771835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006948928,0.0000907284,0.0010356593,0.000054197433,0.000009043749,0.00002568861,0.000020691556,0.0009013445,0.00088179304,0.0014295902,0.9273757,0.068106085],"study_design_scores_gemma":[0.000043818673,0.00019265384,0.004357496,0.000058144615,0.000009836525,0.00006419642,0.00008325004,0.0076703695,0.005835833,0.0016304596,0.98003334,0.000020537771],"about_ca_topic_score_codex":0.027167203,"about_ca_topic_score_gemma":0.028145617,"teacher_disagreement_score":0.10633708,"about_ca_system_score_codex":0.0027573458,"about_ca_system_score_gemma":0.006761401,"threshold_uncertainty_score":0.35573292},"labels":[],"label_agreement":null},{"id":"W2965029813","doi":"10.1130/abs/2019am-341332","title":"OBSERVING AND QUANTIFYING DEFORMATION IN MINERALS BY IN SITU 2D X-RAY DIFFRACTION","year":2019,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"In situ; X-ray crystallography; Diffraction; Materials science; Deformation (meteorology); Geology; Mineralogy; Optics; Composite material; Physics","score_opus":0.023453589175608414,"score_gpt":0.2460190496061219,"score_spread":0.22256546043051348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965029813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92109084,0.00029900996,0.06935966,0.00017218218,0.000053470038,0.000052114978,0.0019438319,0.00088577083,0.006143167],"genre_scores_gemma":[0.91078407,0.00030837144,0.08483095,0.000067235305,0.000025446927,0.000045244204,0.0010607556,0.00014426156,0.002733711],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997601,0.0000142762465,0.000012593073,0.0000794125,0.00010920501,0.000024374576],"domain_scores_gemma":[0.9997739,0.00004840786,0.000044228913,0.000044598557,0.00007281393,0.000016034319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024445064,0.0003490773,0.00030285298,0.0008434585,0.00039988212,0.0007480712,0.00036931192,0.00057689514,0.0015096313],"category_scores_gemma":[0.00030118608,0.0004412517,0.00019787057,0.00078571605,0.00039238224,0.0006445146,0.00045259748,0.00048192617,0.000417503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059468322,0.000036079407,0.0124240685,0.000052380612,0.000013181481,0.000035203586,0.000094597264,0.0012782615,0.97604126,0.00014641105,0.00033286252,0.009486242],"study_design_scores_gemma":[0.00003612763,0.000114077535,0.15761793,0.00001480629,0.000059348127,0.00042867576,0.00042866147,0.029243184,0.80476356,0.0003802084,0.0068692523,0.000044135933],"about_ca_topic_score_codex":0.0021564008,"about_ca_topic_score_gemma":0.009401565,"teacher_disagreement_score":0.0021564008,"about_ca_system_score_codex":0.00029347776,"about_ca_system_score_gemma":0.00027536706,"threshold_uncertainty_score":0.005050242},"labels":[],"label_agreement":null},{"id":"W2967114421","doi":"10.1007/s00521-019-04418-z","title":"An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks","year":2019,"lang":"en","type":"article","venue":"Neural Computing and Applications","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Schmidt hammer; Compressive strength; Artificial intelligence; Artificial neural network; Machine learning; Ensemble forecasting; Random forest; Multivariate adaptive regression splines; Computer science; Ensemble learning; Extreme learning machine; Test data; Algorithm; Linear regression; Bayesian multivariate linear regression; Materials science","score_opus":0.012362118439303686,"score_gpt":0.24384833746056317,"score_spread":0.2314862190212595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967114421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69817746,0.0012923853,0.29635093,0.0003315621,0.00011898048,0.000028737453,0.00063765096,0.00081587606,0.0022463293],"genre_scores_gemma":[0.9787481,0.0002397442,0.018677758,0.00003779676,0.000035034383,0.00003086285,0.00057226873,0.000022022803,0.0016365093],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999082,0.00001940143,0.0000058450596,0.000028377613,0.000022213091,0.000015952319],"domain_scores_gemma":[0.99962413,0.00017715049,0.000033596534,0.000021046742,0.00012816819,0.000015801543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004934949,0.00045120117,0.00072671083,0.0005412158,0.0003117093,0.00042785305,0.0008329898,0.00077112095,0.0007118969],"category_scores_gemma":[0.0008944771,0.00022658253,0.0005873943,0.0005740249,0.00015073203,0.0006113132,0.00028574886,0.00074185466,0.00022038982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007569477,0.00006022908,0.004469185,0.000016499447,0.000060640246,0.000039417577,0.000017685901,0.935794,0.0016029361,0.00046892924,0.0008984207,0.05649632],"study_design_scores_gemma":[6.158955e-7,0.0000037286206,0.0001828941,5.5120023e-7,0.0000029200542,0.0000019130248,8.721791e-7,0.9996258,0.00007768012,0.000079615136,0.000022506027,8.865867e-7],"about_ca_topic_score_codex":0.018286059,"about_ca_topic_score_gemma":0.020114873,"teacher_disagreement_score":0.018286059,"about_ca_system_score_codex":0.00040098515,"about_ca_system_score_gemma":0.00057247456,"threshold_uncertainty_score":0.03635925},"labels":[],"label_agreement":null},{"id":"W2973955525","doi":"10.1016/j.fuel.2019.116136","title":"Evaluation of coal component liberation upon impact breakage by MLA","year":2019,"lang":"en","type":"article","venue":"Fuel","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Land and Resources; University of Alberta","keywords":"Breakage; Liberation; Component (thermodynamics); Coal; Chemistry; Pulp and paper industry; Process engineering; Environmental science; Materials science; Chemical engineering; Composite material; Engineering; Thermodynamics; Organic chemistry; Physics","score_opus":0.015189656034563957,"score_gpt":0.26310925534093293,"score_spread":0.24791959930636898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973955525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914943,0.0010869817,0.0056947386,0.000041259394,0.000016011916,0.00006064802,0.00037659527,0.000101920195,0.0011275907],"genre_scores_gemma":[0.99315876,0.0006974837,0.0038460859,0.000054887085,0.00001053825,0.000052040738,0.0003164558,0.000046627174,0.0018171679],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994677,0.000030763033,0.00002467089,0.00010094105,0.00029285715,0.00008306455],"domain_scores_gemma":[0.9995115,0.00009885452,0.00013686372,0.000032113203,0.0001761108,0.000044601013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005637559,0.0004568282,0.00041371386,0.001380525,0.00032559937,0.00039197152,0.00033781255,0.00047209123,0.0017159864],"category_scores_gemma":[0.00075668836,0.0002772789,0.0005349411,0.0007379762,0.00039690235,0.0005796161,0.0004858169,0.0007276138,0.00040861784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004575885,0.00005473471,0.0146774845,0.0003156492,0.000044789245,0.00023455604,0.00032933961,0.000664371,0.9669111,0.000114783325,0.0001265108,0.01606905],"study_design_scores_gemma":[0.000014832559,0.0006164479,0.10554841,0.000019865958,0.00009547244,0.0002181284,0.00036805833,0.007692141,0.88314265,0.00011817515,0.002131082,0.00003477257],"about_ca_topic_score_codex":0.0018923681,"about_ca_topic_score_gemma":0.0038990446,"teacher_disagreement_score":0.0018923681,"about_ca_system_score_codex":0.00031809416,"about_ca_system_score_gemma":0.0001759431,"threshold_uncertainty_score":0.0057405233},"labels":[],"label_agreement":null},{"id":"W2980103596","doi":"10.1109/ccece.2019.8861885","title":"Towards Natural Scene Rock Image Classification with Convolutional Neural Networks","year":2019,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Convolutional neural network; Artificial intelligence; Support vector machine; Computer science; Contextual image classification; Pattern recognition (psychology); Set (abstract data type); Field (mathematics); Image (mathematics); Artificial neural network; Mathematics","score_opus":0.008163701638537513,"score_gpt":0.2057460586955863,"score_spread":0.19758235705704877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980103596","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15341751,0.0048431894,0.8197297,0.0010173819,0.0003263423,0.00021739311,0.0015602988,0.009263646,0.0096244775],"genre_scores_gemma":[0.6100666,0.002338158,0.36523584,0.0007253004,0.00021960896,0.00013981258,0.006302343,0.00030962416,0.014662723],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999629,0.000040407842,0.000017758954,0.000119688746,0.00010541824,0.000087612934],"domain_scores_gemma":[0.99965227,0.00008605418,0.000051421717,0.00006873503,0.000119939716,0.000021565616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005133315,0.001397275,0.0007225647,0.0016105936,0.00023092842,0.0010307594,0.0012131192,0.0010770643,0.0011931537],"category_scores_gemma":[0.0010025119,0.00045971613,0.00093350146,0.0012223952,0.00042345218,0.001200229,0.00065917784,0.0014231625,0.0012194726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030660417,0.00028895622,0.00482113,0.00024646736,0.00021148805,0.00023179091,0.000096260985,0.13484165,0.038785122,0.004563307,0.014951542,0.8006556],"study_design_scores_gemma":[0.0000091452075,0.000045190856,0.0015646934,0.000022277165,0.000025713662,0.00006055041,0.000037938233,0.9822823,0.009864164,0.0030510637,0.0030222677,0.0000147739165],"about_ca_topic_score_codex":0.015117815,"about_ca_topic_score_gemma":0.020745333,"teacher_disagreement_score":0.015117815,"about_ca_system_score_codex":0.0009149745,"about_ca_system_score_gemma":0.00071089726,"threshold_uncertainty_score":0.030059636},"labels":[],"label_agreement":null},{"id":"W2980206480","doi":"10.1109/ccece.2019.8861546","title":"Receding Horizon Control of Rate of Penetration in Rotary Drills","year":2019,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Drill; Drilling; Torque; Process (computing); Rotational speed; Computer science; Terrain; Horizon; Engineering; Mechanical engineering; Petroleum engineering; Mathematics","score_opus":0.004581589341410325,"score_gpt":0.18972380929673635,"score_spread":0.18514221995532604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980206480","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30937806,0.0012311062,0.67733335,0.00013955537,0.00011705446,0.00008727748,0.00006945479,0.00046950646,0.011174635],"genre_scores_gemma":[0.9943615,0.00011472261,0.00487137,0.000007396823,0.0000041940098,0.000011672871,0.0000061710416,0.0000034665102,0.000619487],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998246,0.00003323247,0.000010541819,0.000042168485,0.000058323632,0.000031270956],"domain_scores_gemma":[0.99971586,0.000106587475,0.000095121366,0.000010638513,0.00005468537,0.000017095519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003027072,0.0003698621,0.0003983623,0.00016492417,0.00019647487,0.0004781856,0.00046203882,0.0002615786,0.00070118305],"category_scores_gemma":[0.00064266013,0.00017288383,0.00017520197,0.000113420036,0.00036341368,0.00025118535,0.00026726868,0.000313148,0.00009102537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006378829,0.00013564799,0.00074935413,0.00040095026,0.00004171116,0.00038989895,0.0002481984,0.8107565,0.09446713,0.0056997286,0.0006689292,0.08580398],"study_design_scores_gemma":[0.000028831535,0.00037361766,0.0004734558,0.000010477982,0.000012286998,0.000041493462,0.000020054043,0.99220264,0.0057935957,0.0005077381,0.00052371476,0.000012112355],"about_ca_topic_score_codex":0.004313463,"about_ca_topic_score_gemma":0.0030547075,"teacher_disagreement_score":0.004313463,"about_ca_system_score_codex":0.00027922343,"about_ca_system_score_gemma":0.0003390483,"threshold_uncertainty_score":0.008576751},"labels":[],"label_agreement":null},{"id":"W2980214770","doi":"10.1007/s10706-019-01073-y","title":"Testing Impact Load Cell Calculations of Material Fracture Toughness and Strength Using 3D-Printed Sandstone","year":2019,"lang":"en","type":"article","venue":"Geotechnical and Geological Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Korea Gas Corporation","keywords":"Materials science; Fracture (geology); Fracture toughness; Ultimate tensile strength; Composite material; Geological Strength Index; Compressive strength; Charpy impact test; Stiffness; SILC; Cylinder; Rock mass classification; Breakage; Geotechnical engineering; Geology; Geometry","score_opus":0.010201971029437238,"score_gpt":0.22098809382582504,"score_spread":0.2107861227963878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980214770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766337,0.00002522557,0.017716724,0.000035529,0.000017066359,0.000052790743,0.0004989124,0.0007019215,0.004318088],"genre_scores_gemma":[0.99408406,0.000018041857,0.0047672084,0.000007254844,0.0000018467215,0.00002398371,0.00015056253,0.000032046803,0.00091502257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999589,0.000033964632,0.000027138169,0.000053785207,0.00025944156,0.000036686088],"domain_scores_gemma":[0.9983417,0.000997789,0.0000756732,0.00021328684,0.00030661706,0.000064934706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038597747,0.0004808036,0.00031311513,0.00057013746,0.0003114096,0.00037869206,0.0012597631,0.0008143597,0.0058673825],"category_scores_gemma":[0.0017216941,0.00041815639,0.00044424128,0.00050692336,0.00028856378,0.0006378119,0.00052241975,0.0004096766,0.00070982095],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070535066,0.0006224781,0.0153981345,0.00022481539,0.00007700544,0.00046731203,0.0002631049,0.76771694,0.158637,0.0012422984,0.000695331,0.053950347],"study_design_scores_gemma":[0.000041911837,0.00031887504,0.008270576,0.000005022621,0.000016566124,0.000051199815,0.000049265436,0.9168945,0.0737669,0.00018573123,0.0003758804,0.00002356554],"about_ca_topic_score_codex":0.010115781,"about_ca_topic_score_gemma":0.015857568,"teacher_disagreement_score":0.010115781,"about_ca_system_score_codex":0.00062973757,"about_ca_system_score_gemma":0.0005901446,"threshold_uncertainty_score":0.020113766},"labels":[],"label_agreement":null},{"id":"W2981362025","doi":"10.4095/220706","title":"The measurement of the modal mineralogy of rocks from SEM imagery: the use of Multispec© and ImageJ freeware","year":2005,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Modal; Mineralogy; Geology; Remote sensing; Materials science; Composite material","score_opus":0.06188610005534322,"score_gpt":0.2409192279278517,"score_spread":0.17903312787250847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981362025","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11075811,0.00044170453,0.8360753,0.0002059193,0.00012989074,0.00027704425,0.012179553,0.02507548,0.0148569755],"genre_scores_gemma":[0.17830475,0.0005091597,0.80065995,0.00006562599,0.000027904505,0.00029441612,0.0061420286,0.005761648,0.008234512],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991442,0.000038536746,0.000053012747,0.00015285611,0.00057278236,0.00003860229],"domain_scores_gemma":[0.9978739,0.0003658884,0.00017386852,0.0006355787,0.00087563845,0.000075090786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012964439,0.0007645346,0.0006446492,0.0033284936,0.00080339087,0.0012085871,0.0013050715,0.00049993803,0.012636647],"category_scores_gemma":[0.002377444,0.0009232435,0.00050727377,0.0017735081,0.00046120625,0.0014602601,0.0009516167,0.0010381398,0.0037112408],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017094566,0.000098696575,0.0051678186,0.00052358676,0.00007053977,0.00010106042,0.00025107406,0.0011253657,0.7739607,0.0032075597,0.009223943,0.20609865],"study_design_scores_gemma":[0.000020683661,0.000050584564,0.035902496,0.000022138458,0.00007926832,0.0009779668,0.00009815411,0.026540736,0.9119589,0.0012879047,0.022989143,0.000072124814],"about_ca_topic_score_codex":0.0023180875,"about_ca_topic_score_gemma":0.006957428,"teacher_disagreement_score":0.012636647,"about_ca_system_score_codex":0.00034508837,"about_ca_system_score_gemma":0.00061869336,"threshold_uncertainty_score":0.04227376},"labels":[],"label_agreement":null},{"id":"W2981462555","doi":"10.4095/293467","title":"Comminution of indicator minerals in a tumbling mill: implications for mineral exploration","year":2014,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Comminution; Ilmenite; Geology; Heavy mineral; Kimberlite; Mineral; Mineralogy; Provenance; Geochemistry; Metallurgy; Materials science; Mantle (geology)","score_opus":0.08943650190363801,"score_gpt":0.3271982372342457,"score_spread":0.23776173533060768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981462555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998028,0.00023491586,0.00084093155,0.00014927248,0.000009886629,0.000014537838,0.00006681923,0.000020336818,0.00063532375],"genre_scores_gemma":[0.9970906,0.00017590572,0.0016477021,0.00005975446,0.0000034573745,0.00001323931,0.000055836146,0.000008178608,0.0009453691],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995602,0.00011675456,0.00002127013,0.000109986206,0.000111327485,0.00008043073],"domain_scores_gemma":[0.99827194,0.00061946287,0.000499575,0.0000762227,0.00029743716,0.00023538216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012276488,0.00045121278,0.00036145755,0.00030864452,0.0006913146,0.0013575145,0.000595482,0.0008182692,0.0015917062],"category_scores_gemma":[0.0022514039,0.00021346542,0.00022527346,0.00044977138,0.0007554423,0.0009547753,0.00047132262,0.0005034104,0.00026027428],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004492681,0.0011994537,0.24709983,0.00035201752,0.0000434571,0.0008069942,0.0011801127,0.002743818,0.69759893,0.0007173668,0.000450736,0.04331463],"study_design_scores_gemma":[0.00006437238,0.0038076919,0.77430224,0.0000530552,0.000074863216,0.0004383266,0.00461209,0.016658908,0.1969435,0.00092368084,0.0020496997,0.00007153458],"about_ca_topic_score_codex":0.006992619,"about_ca_topic_score_gemma":0.0128228795,"teacher_disagreement_score":0.006992619,"about_ca_system_score_codex":0.000913019,"about_ca_system_score_gemma":0.00061955303,"threshold_uncertainty_score":0.013903797},"labels":[],"label_agreement":null},{"id":"W2981486878","doi":"10.4095/296314","title":"Assessment of cleaning methods for electro-welded sieves to reduce/eliminate carry over contamination between till samples","year":2015,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Contamination; Contamination control; Sample preparation; Sieve (category theory); Environmental science; Sample (material); Process engineering; Computer science; Chemistry; Engineering; Mathematics; Chromatography","score_opus":0.10706160092094795,"score_gpt":0.4389986962295164,"score_spread":0.33193709530856846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981486878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92244256,0.0064561903,0.065549694,0.00032514406,0.00018474562,0.0009824954,0.00055574236,0.00035750808,0.0031458193],"genre_scores_gemma":[0.67319536,0.0063379626,0.3123194,0.00032570504,0.00004961653,0.0009500526,0.0014721889,0.00036760364,0.0049821897],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99556595,0.001157837,0.00059444347,0.00046832376,0.0019742935,0.00023914859],"domain_scores_gemma":[0.99240124,0.0022319858,0.0013434212,0.0005830571,0.003277714,0.00016256116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058435774,0.00086036185,0.0005407141,0.0013171284,0.00074072933,0.0010373006,0.00089660264,0.0009151559,0.0010600282],"category_scores_gemma":[0.0085147405,0.00038783255,0.0006626314,0.0007668754,0.00041257957,0.0006698377,0.0006424093,0.00050973945,0.00047930639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004365535,0.00029827966,0.011836074,0.0008544776,0.00013982593,0.00015755212,0.00061317725,0.0011688194,0.9351051,0.00020562981,0.00058915664,0.04859547],"study_design_scores_gemma":[0.000023197794,0.0018919646,0.0372409,0.00019779582,0.00022432256,0.0003969292,0.0004812502,0.0025595631,0.94679207,0.00014366476,0.01000645,0.000041807074],"about_ca_topic_score_codex":0.001974865,"about_ca_topic_score_gemma":0.004720907,"teacher_disagreement_score":0.0058435774,"about_ca_system_score_codex":0.00049291993,"about_ca_system_score_gemma":0.0007418529,"threshold_uncertainty_score":0.030904174},"labels":[],"label_agreement":null},{"id":"W2981895171","doi":"10.4095/296691","title":"Recent advances in fluid and melt inclusion and applied mineralogical research in the Sudbury mining camp: improving ore genesis models and exploration success","year":2015,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Inclusion (mineral); Melt inclusions; Geochemistry; Mining engineering; Mineralogy; Mantle (geology)","score_opus":0.1360987144117919,"score_gpt":0.35169960144486173,"score_spread":0.21560088703306984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981895171","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7884751,0.08159798,0.08976831,0.0048366413,0.00017048836,0.00012803948,0.0031710155,0.0011257953,0.030726623],"genre_scores_gemma":[0.86499,0.048127126,0.077385165,0.00022858685,0.00014995453,0.00006549954,0.0013794358,0.00009856934,0.0075756935],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993912,0.00013169424,0.000036821224,0.0002101201,0.00016303653,0.00006717193],"domain_scores_gemma":[0.99882287,0.00035347062,0.0002361767,0.000086736356,0.0004156803,0.00008502856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015492403,0.0007578286,0.00058008014,0.003359638,0.0008065842,0.0020711843,0.0015747607,0.0006872084,0.0030066979],"category_scores_gemma":[0.0020302478,0.00036461093,0.00045228828,0.004254678,0.001341333,0.0018074112,0.00127606,0.00034695445,0.0004524845],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032862206,0.00015672053,0.18814674,0.0023525036,0.00018913916,0.0004571097,0.0011378541,0.04228293,0.038361207,0.00867962,0.002118261,0.7157892],"study_design_scores_gemma":[0.000077345714,0.00048429528,0.4277111,0.0012402104,0.00030895474,0.0012435082,0.003246963,0.3365901,0.065267235,0.020801263,0.14277801,0.0002510407],"about_ca_topic_score_codex":0.18776459,"about_ca_topic_score_gemma":0.25941697,"teacher_disagreement_score":0.8122354,"about_ca_system_score_codex":0.0051305247,"about_ca_system_score_gemma":0.004610515,"threshold_uncertainty_score":0.37334335},"labels":[],"label_agreement":null},{"id":"W2982158442","doi":"","title":"DYNAMIC MODELLING OF A SAG MILL-PEBBLE CRUSHER CIRCUIT BY DATA-DRIVEN METHODS","year":2019,"lang":"en","type":"article","venue":"Chalmers Research (Chalmers University of Technology)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Crusher; Comminution; Mill; Artificial neural network; Computer science; Power (physics); Process (computing); Engineering; Artificial intelligence; Mechanical engineering; Materials science; Metallurgy","score_opus":0.09724304813700713,"score_gpt":0.3301113917651234,"score_spread":0.23286834362811626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982158442","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30468526,0.0005554401,0.6862792,0.000383159,0.00008454331,0.00009345633,0.0009940721,0.0011540883,0.005770733],"genre_scores_gemma":[0.9809441,0.0001397565,0.016145116,0.000025275845,0.0000096141075,0.00007681855,0.00040976168,0.000029804612,0.0022198698],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989367,0.000017795126,0.000007352078,0.000035872963,0.000027791548,0.000017544015],"domain_scores_gemma":[0.9997756,0.0001143813,0.000028561393,0.000009923711,0.00005993926,0.000011539098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032266622,0.00053303223,0.0005304016,0.00039154594,0.0002593226,0.00078508136,0.0006821186,0.00085981155,0.0010697509],"category_scores_gemma":[0.0006594531,0.00040551616,0.00062419026,0.0003851479,0.00024388888,0.00043564718,0.00032689204,0.0007168401,0.00017116615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001725812,0.000012602827,0.00064474373,0.000019601533,0.000013318323,0.000034431596,0.000016844064,0.9927463,0.0011708982,0.00033040607,0.00011031885,0.0048832926],"study_design_scores_gemma":[6.176223e-7,0.0000027701487,0.00013616912,8.370236e-7,0.0000011259882,0.0000017596336,0.0000020474397,0.999559,0.00012964867,0.000086031294,0.00007882187,0.0000012369604],"about_ca_topic_score_codex":0.03237444,"about_ca_topic_score_gemma":0.02506249,"teacher_disagreement_score":0.03237444,"about_ca_system_score_codex":0.0006344546,"about_ca_system_score_gemma":0.0006966604,"threshold_uncertainty_score":0.064372},"labels":[],"label_agreement":null},{"id":"W2982232333","doi":"10.1007/s11004-019-09833-5","title":"Variogram-Based Descriptors for Comparison and Classification of Rock Texture Images","year":2019,"lang":"en","type":"article","venue":"Mathematical Geosciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Fondo de Fomento al Desarrollo Científico y Tecnológico; Comisión Nacional de Investigación Científica y Tecnológica; Natural Sciences and Engineering Research Council of Canada","keywords":"Texture (cosmology); Geology; Variogram; Image texture; Artificial intelligence; Geologist; Texture compression; Pattern recognition (psychology); Computer science; Image (mathematics); Image processing; Kriging; Machine learning","score_opus":0.024834878688081475,"score_gpt":0.26330047578593285,"score_spread":0.23846559709785137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982232333","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17666821,0.0016180373,0.81353223,0.0001569285,0.00012860309,0.00016696814,0.0024984414,0.0024654216,0.0027651677],"genre_scores_gemma":[0.69832015,0.001071311,0.29390723,0.000068635236,0.00008778112,0.00022793695,0.0043575633,0.000305293,0.0016541954],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992755,0.00013246456,0.000064222906,0.00012374946,0.00032161592,0.00008249405],"domain_scores_gemma":[0.9989322,0.0003597834,0.0001133884,0.00013924246,0.00038377906,0.00007163201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011289067,0.00035751538,0.0007796205,0.005385211,0.00026842064,0.001336819,0.0006757591,0.0005019873,0.001929325],"category_scores_gemma":[0.002274338,0.00014665961,0.00064331427,0.0052509475,0.000405304,0.0010297274,0.0008073197,0.00059449923,0.0006666299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009180228,0.0002920151,0.0068456316,0.00035031448,0.00019449319,0.00009216316,0.00009201535,0.0137571255,0.098163776,0.006688912,0.0041008443,0.8685046],"study_design_scores_gemma":[0.0001434907,0.00049163634,0.044549208,0.00008697101,0.0003258769,0.00058888266,0.00033273204,0.8541332,0.080892414,0.007868608,0.010436243,0.00015078465],"about_ca_topic_score_codex":0.002824205,"about_ca_topic_score_gemma":0.0028480836,"teacher_disagreement_score":0.005385211,"about_ca_system_score_codex":0.00046962852,"about_ca_system_score_gemma":0.00086966984,"threshold_uncertainty_score":0.0064541698},"labels":[],"label_agreement":null},{"id":"W2982279611","doi":"10.4095/214521","title":"Sudbury Ni-Cu-PGE ore mineralogy compilation: Sudbury Targeted Geoscience Initiative (TGI)","year":2003,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Geochemistry; Mining engineering; Mineralogy","score_opus":0.04608045682455885,"score_gpt":0.275341323075137,"score_spread":0.22926086625057812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982279611","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060591757,0.0017846685,0.0067507853,0.00045909363,0.0003425983,0.00061990885,0.81778604,0.001890425,0.1097747],"genre_scores_gemma":[0.09539071,0.0029168183,0.04525813,0.00028070918,0.00013585889,0.0010631154,0.7367997,0.0013533472,0.11680163],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99940825,0.0000185374,0.000032847533,0.000080147314,0.000386474,0.00007375965],"domain_scores_gemma":[0.9983683,0.00005293007,0.00016331869,0.00012676357,0.0011867685,0.00010185525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008137507,0.0012419004,0.000887788,0.0069189263,0.0020966849,0.00094053015,0.0019358551,0.0003169886,0.013137719],"category_scores_gemma":[0.0010675275,0.0006233666,0.00042045274,0.008225382,0.00023988006,0.001019733,0.0011021276,0.0006809238,0.0037041388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006647925,0.00027330712,0.026391204,0.0010955757,0.00015024118,0.00046873128,0.0005411708,0.0027908422,0.015275934,0.0028553146,0.8033247,0.14616816],"study_design_scores_gemma":[0.00016921395,0.00006922666,0.12972504,0.00009814389,0.00009688215,0.00021646345,0.00030156533,0.0013111355,0.023191204,0.00064561644,0.8441224,0.0000530842],"about_ca_topic_score_codex":0.63407165,"about_ca_topic_score_gemma":0.773277,"teacher_disagreement_score":0.36592835,"about_ca_system_score_codex":0.0041077537,"about_ca_system_score_gemma":0.014642828,"threshold_uncertainty_score":0.7361667},"labels":[],"label_agreement":null},{"id":"W2986473551","doi":"10.1080/22020586.2019.12072983","title":"Mineralisation predictive targeting using TensorFlow (Google) deep neural networks","year":2019,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Petro Geotech (Canada)","funders":"","keywords":"Artificial neural network; Python (programming language); Deep neural networks; Deep learning; Artificial intelligence; Shield; Computer science; Geology; Petrology; Operating system","score_opus":0.00971232987889054,"score_gpt":0.2166362563409481,"score_spread":0.20692392646205757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986473551","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11189315,0.001457518,0.7720852,0.0012368155,0.00039561884,0.00019730309,0.013829296,0.084594786,0.01431032],"genre_scores_gemma":[0.61189413,0.00076556846,0.34892622,0.00039116183,0.00010267917,0.00021086932,0.024818765,0.0022928712,0.0105978325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980277,0.000017290195,0.000010312392,0.000058348676,0.000079915655,0.000031292555],"domain_scores_gemma":[0.99968517,0.000067384906,0.000039863593,0.000046807396,0.00014116909,0.000019539562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004527321,0.001322451,0.00041275876,0.00087822694,0.00034755396,0.0008845659,0.0012212837,0.00056216394,0.0051983907],"category_scores_gemma":[0.0014783035,0.00037078705,0.0007809764,0.0009655943,0.00033258714,0.0010625907,0.00081033405,0.00096739514,0.0017746735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002522128,0.00010479638,0.00450492,0.00020557405,0.00013819542,0.00013996023,0.000083108556,0.6937633,0.009105519,0.0042652413,0.037491255,0.24994597],"study_design_scores_gemma":[0.000008864958,0.000009196155,0.0003201545,0.0000058035826,0.000006170304,0.000010294943,0.000006773406,0.9931357,0.0026256598,0.0018388699,0.0020243565,0.000008149665],"about_ca_topic_score_codex":0.04844844,"about_ca_topic_score_gemma":0.06145944,"teacher_disagreement_score":0.04844844,"about_ca_system_score_codex":0.0011534737,"about_ca_system_score_gemma":0.0012945795,"threshold_uncertainty_score":0.09633291},"labels":[],"label_agreement":null},{"id":"W2988486637","doi":"10.18280/i2m.180403","title":"A Statistical Method for Lithic Content Based on Core Measurement, Image Analysis and Microscopic Statistics in Sand-conglomerate Reservoir","year":2019,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science and Technology Major Project; China University of Petroleum, Beijing","keywords":"Conglomerate; Geology; Core (optical fiber); Statistical analysis; Mineralogy; Content (measure theory); Image (mathematics); Statistics; Mathematics; Materials science; Artificial intelligence; Computer science; Geochemistry; Sedimentary rock; Composite material","score_opus":0.06552414824484709,"score_gpt":0.3338519200625215,"score_spread":0.2683277718176744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988486637","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19338986,0.00027139296,0.80375636,0.000060812275,0.000016715261,0.00006339115,0.00033940724,0.00096449046,0.0011375665],"genre_scores_gemma":[0.76854587,0.00025338377,0.22916548,0.000028927278,0.000027472237,0.00016679791,0.0006106357,0.00009453617,0.0011069713],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993754,0.00008265074,0.00005614697,0.00021511228,0.00022962612,0.00004116561],"domain_scores_gemma":[0.99920875,0.00026636518,0.00018299259,0.00008146891,0.00021964264,0.000040831204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079358235,0.0004576321,0.00036420033,0.003258405,0.00035066684,0.0007551379,0.00054969476,0.00028215483,0.0003758637],"category_scores_gemma":[0.0018674504,0.00036615733,0.00048741486,0.0019374182,0.00059526943,0.0007341299,0.0006782299,0.00022906336,0.00013785811],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028184787,0.00016361401,0.16373043,0.000372002,0.0003409521,0.0004134966,0.00064658583,0.10591595,0.14297535,0.009371226,0.0013802754,0.5744083],"study_design_scores_gemma":[0.000014500348,0.00011447676,0.12057892,0.000019571333,0.00011287632,0.00031176436,0.00027719856,0.8387026,0.034245443,0.0032693231,0.0022381882,0.000115148716],"about_ca_topic_score_codex":0.00770235,"about_ca_topic_score_gemma":0.007825827,"teacher_disagreement_score":0.00770235,"about_ca_system_score_codex":0.000654376,"about_ca_system_score_gemma":0.0009600455,"threshold_uncertainty_score":0.015315056},"labels":[],"label_agreement":null},{"id":"W2992527831","doi":"10.1016/j.hydromet.2019.105226","title":"Effect of stratified stacks on extraction and surface morphology of copper sulfides","year":2019,"lang":"en","type":"article","venue":"Hydrometallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; National Natural Science Foundation of China","keywords":"Porosity; Dissolution; Chemistry; Leaching (pedology); Copper; Heap leaching; Mineralogy; Particle size; Soil science; Geology","score_opus":0.0060377351562428865,"score_gpt":0.23537453937825795,"score_spread":0.22933680422201505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992527831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991449,0.00011187393,0.00026859692,0.000012097107,0.0000064207006,0.0000037432442,0.00005203921,0.000021017202,0.00037925446],"genre_scores_gemma":[0.99844533,0.00015483936,0.00062312937,0.000015245094,0.0000036372594,0.000005799257,0.00008752421,0.000016365131,0.000648125],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999126,0.0000070467813,0.0000073971855,0.000015163138,0.000021904621,0.00003589808],"domain_scores_gemma":[0.99989104,0.00003031037,0.000024044983,0.000012312263,0.000029433118,0.000012756622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013442028,0.00020729168,0.00022104029,0.00011888769,0.00020418872,0.0003407521,0.00014504122,0.00017078352,0.0009173986],"category_scores_gemma":[0.00031938805,0.00022198797,0.00014689096,0.00019566742,0.00014364904,0.0002856903,0.00022766506,0.00025446407,0.00017806081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015462807,0.000011366433,0.00023149527,0.000030856354,0.000008317129,0.000036290225,0.000043835316,0.00012690244,0.99812275,0.000042794643,0.000044556968,0.0011461761],"study_design_scores_gemma":[0.0000044193935,0.000058542904,0.0011962113,0.000001569119,0.000006895655,0.000011711472,0.00002649053,0.00049051514,0.99790585,0.0000075272546,0.00028750167,0.0000028576749],"about_ca_topic_score_codex":0.0011060823,"about_ca_topic_score_gemma":0.0027055677,"teacher_disagreement_score":0.0011060823,"about_ca_system_score_codex":0.00020473068,"about_ca_system_score_gemma":0.00022225842,"threshold_uncertainty_score":0.0030690432},"labels":[],"label_agreement":null},{"id":"W2994457823","doi":"10.1007/s12613-019-1849-y","title":"Dimensioning a stockpile operation using principal component analysis","year":2019,"lang":"en","type":"article","venue":"International Journal of Minerals Metallurgy and Materials","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Stockpile; Principal component analysis; Dimensioning; Consistency (knowledge bases); Variance (accounting); Dimension (graph theory); MATLAB; Computer science; Statistics; Engineering; Mathematics; Artificial intelligence","score_opus":0.013238538514908058,"score_gpt":0.25410544162082216,"score_spread":0.2408669031059141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994457823","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3244299,0.00015506094,0.6683313,0.00016119682,0.00008016984,0.0001738466,0.00037604352,0.0039871666,0.0023052206],"genre_scores_gemma":[0.73498493,0.0001078553,0.2604837,0.000027159813,0.000019208728,0.0000819891,0.0006009356,0.00024000989,0.0034542163],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975926,0.000018405111,0.000015522886,0.000050040395,0.00011957393,0.000037291597],"domain_scores_gemma":[0.9996418,0.000113312686,0.000028141894,0.00004152361,0.00014880674,0.000026416046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034791834,0.0008672382,0.0005808818,0.0010402808,0.0006539103,0.0009514495,0.00032044886,0.00032292225,0.0037293506],"category_scores_gemma":[0.0007848828,0.00037391734,0.0005252005,0.00087623135,0.0002555923,0.0008910317,0.00043285135,0.00063600054,0.00079494057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068589876,0.00030332172,0.010535003,0.0001209035,0.000063794054,0.00019631126,0.00023047974,0.122719765,0.13521275,0.0014404544,0.002465573,0.7260257],"study_design_scores_gemma":[0.000013981969,0.0003210971,0.015945578,0.0000064803476,0.00003703516,0.00006263529,0.0002183203,0.927619,0.05181915,0.0010434547,0.0028660765,0.000047248497],"about_ca_topic_score_codex":0.009606375,"about_ca_topic_score_gemma":0.010436135,"teacher_disagreement_score":0.009606375,"about_ca_system_score_codex":0.0005104019,"about_ca_system_score_gemma":0.0010584168,"threshold_uncertainty_score":0.019100904},"labels":[],"label_agreement":null},{"id":"W2994856276","doi":"10.18280/ts.360512","title":"Automatic Recognition of Rock Images Based on Convolutional Neural Network and Discrete Cosine Transform","year":2019,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Discrete cosine transform; Artificial intelligence; Computer science; Pattern recognition (psychology); Lapped transform; Computer vision; Speech recognition; Image (mathematics); Transform coding","score_opus":0.010151044656584661,"score_gpt":0.20374556365522908,"score_spread":0.1935945189986444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994856276","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12158896,0.000856505,0.8696559,0.00015738452,0.00015352202,0.00012537991,0.00027809138,0.0032697392,0.0039144605],"genre_scores_gemma":[0.608998,0.00080811826,0.38389364,0.00011440042,0.000074320684,0.000083752784,0.00085409835,0.000103228434,0.005070411],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996911,0.00002452237,0.000015564074,0.00007928006,0.00014295187,0.000046505153],"domain_scores_gemma":[0.99973494,0.000057639798,0.00004538512,0.000042913092,0.000103835184,0.000015332627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035765787,0.00058361626,0.0005185473,0.0014050792,0.00017000867,0.0004327323,0.0006689669,0.00044515793,0.0011141627],"category_scores_gemma":[0.00075890793,0.0002457926,0.00043678758,0.000821243,0.00031884623,0.000764939,0.0003572534,0.00046897426,0.00053991406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026967135,0.00012076885,0.0031356215,0.00019246606,0.00006308027,0.00024340482,0.00004369359,0.041025516,0.22213787,0.0028770487,0.0029571853,0.72693366],"study_design_scores_gemma":[0.000010920651,0.00006834506,0.0056312517,0.000013766685,0.00002920467,0.00024406175,0.000021898626,0.9229222,0.067784615,0.0008713265,0.002380127,0.000022289474],"about_ca_topic_score_codex":0.0056307376,"about_ca_topic_score_gemma":0.009090022,"teacher_disagreement_score":0.0056307376,"about_ca_system_score_codex":0.0003851112,"about_ca_system_score_gemma":0.000570865,"threshold_uncertainty_score":0.011195898},"labels":[],"label_agreement":null},{"id":"W2996299757","doi":"10.1007/978-3-030-32549-7_3","title":"Emerging Trends in Mining","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Process Research Ortech (Canada)","funders":"","keywords":"Computer science; Data science","score_opus":0.01710001765474557,"score_gpt":0.22933624870001354,"score_spread":0.21223623104526798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996299757","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021528653,0.17618376,0.0033278945,0.015888402,0.004248647,0.000023849734,0.00016148644,0.000111970985,0.79790115],"genre_scores_gemma":[0.0142026935,0.18575805,0.0029248688,0.0035779434,0.0032711679,0.00002896874,0.00027695915,0.00009735101,0.789862],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994111,0.00008249927,0.000025665035,0.00009253712,0.00032501016,0.00006325052],"domain_scores_gemma":[0.9996854,0.000104542145,0.000024188459,0.000030227964,0.00011090555,0.000044754248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005972602,0.0006130969,0.00041064358,0.002160117,0.000947969,0.005253563,0.001071594,0.0016242006,0.05004641],"category_scores_gemma":[0.0009876,0.00024250921,0.00032215012,0.0050109383,0.0017913841,0.0044723568,0.0019066782,0.0017704624,0.014054514],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002544711,0.000059974027,0.00043608673,0.0008633296,0.000008659,0.00010591504,0.0007125859,0.0003535525,0.0006864057,0.2765956,0.2809082,0.43924418],"study_design_scores_gemma":[6.9564896e-7,0.0000059344607,0.0003098812,0.00017756398,0.0000012188776,0.000092417366,0.00021527904,0.00009311805,0.0000601092,0.014503357,0.9845382,0.0000023032744],"about_ca_topic_score_codex":0.0035852152,"about_ca_topic_score_gemma":0.013115104,"teacher_disagreement_score":0.05004641,"about_ca_system_score_codex":0.002609388,"about_ca_system_score_gemma":0.0028952055,"threshold_uncertainty_score":0.16742194},"labels":[],"label_agreement":null},{"id":"W2997095412","doi":"10.1007/s00603-019-02038-6","title":"Investigation of the Heat-Treatment Effect on Rock Fragmentation Characteristics Using the Dynamic Ball Compression Test","year":2020,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Materials science; Split-Hopkinson pressure bar; Dissipation; Fragmentation (computing); Ball (mathematics); Ultimate tensile strength; Dynamic range compression; Composite material; Dynamic loading; Thermal; Compressive strength; Geotechnical engineering; Structural engineering; Mechanics; Strain rate; Geology; Engineering; Computer science; Physics","score_opus":0.012155361491884098,"score_gpt":0.20689738679708133,"score_spread":0.19474202530519724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997095412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976094,0.0002422971,0.0013313615,0.000011839182,0.000008026017,0.000014557735,0.00011477944,0.000038415877,0.0006294402],"genre_scores_gemma":[0.9987419,0.000078110796,0.00045505477,0.0000062037147,0.000002625323,0.0000064357514,0.000081301034,0.00001091971,0.00061746343],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99966,0.000026176105,0.0000199661,0.000062336585,0.00016648171,0.00006503273],"domain_scores_gemma":[0.998904,0.0004831461,0.00014455833,0.00007673264,0.00033578943,0.000055711163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037987292,0.00026056476,0.0003433802,0.0005309671,0.00028527496,0.00022860408,0.00033272002,0.00040729714,0.0025997162],"category_scores_gemma":[0.0011762012,0.00019955951,0.0002635985,0.00061887206,0.00039844567,0.00040435774,0.00019649023,0.00030313348,0.00025105942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009452211,0.0000642385,0.0035359564,0.000072347655,0.000015107025,0.00010772535,0.00011501705,0.0007932492,0.9864651,0.00003946388,0.000063409265,0.0077832895],"study_design_scores_gemma":[0.000014758753,0.0011281626,0.0521581,0.000004469034,0.000029788633,0.0001239622,0.000087396664,0.0031091932,0.9426944,0.000017647364,0.00061247236,0.000019648323],"about_ca_topic_score_codex":0.002323335,"about_ca_topic_score_gemma":0.0033024382,"teacher_disagreement_score":0.0025997162,"about_ca_system_score_codex":0.00024805573,"about_ca_system_score_gemma":0.0001904531,"threshold_uncertainty_score":0.008696914},"labels":[],"label_agreement":null},{"id":"W2997395699","doi":"10.22067/econg.v11i3.70491","title":"Relationship between Textural and Mineralogical Properties of Crystalline Igneous Rocks Using Textural Quantification by Image Analysis","year":2019,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Igneous rock; Texture (cosmology); Mineralogy; Geology; Geochemistry; Image (mathematics); Computer science; Artificial intelligence","score_opus":0.2714823673165147,"score_gpt":0.4865459744691734,"score_spread":0.2150636071526587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997395699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9363756,0.0011518702,0.058023725,0.00003649337,0.000012521815,0.000072490104,0.0009589283,0.0005920463,0.002776317],"genre_scores_gemma":[0.94832844,0.00046376174,0.049786787,0.000015869631,0.000014177907,0.00006228251,0.0005217194,0.000031018237,0.00077591895],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99976283,0.000013836523,0.000017525266,0.00007297503,0.000112892994,0.000019972267],"domain_scores_gemma":[0.99959344,0.00007602488,0.00015830355,0.0000234574,0.00012897523,0.000019884394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034739185,0.00041915153,0.0002568259,0.004071905,0.00015833338,0.00055056385,0.00033206755,0.0003026942,0.0011413732],"category_scores_gemma":[0.00056027964,0.00021458656,0.00023707405,0.0017609113,0.00032156007,0.000631979,0.00021171733,0.00026887655,0.00024981445],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002603883,0.00008625846,0.10525139,0.0005129945,0.00012749997,0.00023454099,0.0002618325,0.0021986857,0.7578211,0.0003613164,0.00041169935,0.13247237],"study_design_scores_gemma":[0.00001123684,0.00010071643,0.7641278,0.000028350727,0.00014854649,0.0009821156,0.00036429937,0.026459267,0.20523424,0.0005728381,0.001903378,0.00006724176],"about_ca_topic_score_codex":0.0012756821,"about_ca_topic_score_gemma":0.001991846,"teacher_disagreement_score":0.004071905,"about_ca_system_score_codex":0.0002061426,"about_ca_system_score_gemma":0.00013143774,"threshold_uncertainty_score":0.0038182735},"labels":[],"label_agreement":null},{"id":"W2998981416","doi":"10.1017/s1431927619015332","title":"Proliferation of Faulty Materials Data Analysis in the Literature","year":2020,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Materials science; Computer science; Forensic engineering; Engineering","score_opus":0.019497655537537864,"score_gpt":0.26774499168189264,"score_spread":0.2482473361443548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998981416","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040925715,0.25087276,0.08669778,0.518912,0.057912707,0.0002904655,0.0062633213,0.0029471533,0.035178035],"genre_scores_gemma":[0.27198437,0.2109446,0.16397095,0.26462883,0.05783098,0.0006201875,0.012958902,0.004379527,0.012681734],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.92239326,0.017823478,0.01358403,0.0066876714,0.03842796,0.001083485],"domain_scores_gemma":[0.45268738,0.32751742,0.046118062,0.0425519,0.12617436,0.004950849],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.051143967,0.000661437,0.0012239243,0.03283589,0.0035198694,0.008908845,0.0037614931,0.004163681,0.0050602625],"category_scores_gemma":[0.2786368,0.0009506929,0.0009924982,0.022469807,0.0069137644,0.010493615,0.0050135395,0.005928812,0.0035842003],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035183944,0.00008329674,0.012899411,0.011780715,0.00024908214,0.0049487757,0.009985411,0.0007532597,0.0044425502,0.05978326,0.30319056,0.59153175],"study_design_scores_gemma":[0.000018645515,0.00006328526,0.004318607,0.010192458,0.00017974214,0.0060989074,0.0038229297,0.0012715997,0.0049146973,0.048056904,0.9209235,0.00013868696],"about_ca_topic_score_codex":0.0014586763,"about_ca_topic_score_gemma":0.0023481168,"teacher_disagreement_score":0.94885606,"about_ca_system_score_codex":0.0031677329,"about_ca_system_score_gemma":0.007753387,"threshold_uncertainty_score":0.27047837},"labels":[],"label_agreement":null},{"id":"W3003035306","doi":"10.1016/j.xphs.2020.01.014","title":"Application of Deep Learning Convolutional Neural Networks for Internal Tablet Defect Detection: High Accuracy, Throughput, and Adaptability","year":2020,"lang":"en","type":"article","venue":"Journal of Pharmaceutical Sciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Object Research Systems (Canada)","funders":"Merck","keywords":"Workflow; Computer science; Deep learning; Artificial intelligence; Convolutional neural network; Adaptability; Throughput; Artificial neural network; Machine learning; Pattern recognition (psychology); Database","score_opus":0.03925491213168637,"score_gpt":0.31890734385939634,"score_spread":0.27965243172771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003035306","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26835006,0.0021901564,0.7161746,0.00074562704,0.0002678463,0.00009311033,0.00092275016,0.0054995352,0.005756383],"genre_scores_gemma":[0.8612865,0.000596382,0.13114129,0.00020900028,0.00005570819,0.000046856945,0.0007239273,0.00009017573,0.0058499817],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997787,0.00002277022,0.000010371923,0.000061002265,0.000084048996,0.000043159795],"domain_scores_gemma":[0.9994929,0.00017015763,0.000055604793,0.000057332465,0.00020030473,0.000023682482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045374097,0.00072915613,0.00044463144,0.00054269447,0.00018543197,0.00053818995,0.00067189545,0.0005565494,0.0011371381],"category_scores_gemma":[0.001065835,0.0003042334,0.00034731335,0.0004570366,0.00018818388,0.0005474926,0.0006283167,0.0006758548,0.00042716943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004875625,0.0003269736,0.010400539,0.00022717568,0.00017393597,0.0002390785,0.00007122318,0.11269421,0.104630075,0.0019302265,0.008185449,0.7606336],"study_design_scores_gemma":[0.000006661741,0.000048240698,0.0017974065,0.000007917889,0.000025217436,0.00006125164,0.000009738148,0.96749127,0.028883211,0.00060080393,0.0010582275,0.000009968131],"about_ca_topic_score_codex":0.007829498,"about_ca_topic_score_gemma":0.012323412,"teacher_disagreement_score":0.007829498,"about_ca_system_score_codex":0.00059374154,"about_ca_system_score_gemma":0.00071174704,"threshold_uncertainty_score":0.015567839},"labels":[],"label_agreement":null},{"id":"W3004572112","doi":"","title":"Mining Between Graphite Schist and Variable Quality Backfill","year":2019,"lang":"en","type":"article","venue":"53rd U.S. Rock Mechanics/Geomechanics Symposium","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agnico Eagle (Canada)","funders":"","keywords":"Schist; Quality (philosophy); Geology; Geochemistry; Mining engineering; Metamorphic rock; Philosophy","score_opus":0.013401273831097384,"score_gpt":0.22310885126375982,"score_spread":0.20970757743266244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004572112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952852,0.00007547476,0.0008892876,0.00006903421,0.000008208424,0.000008275715,0.00002951871,0.000016307424,0.0036187193],"genre_scores_gemma":[0.9982457,0.000033528297,0.00040104397,0.000009538027,0.0000016320662,0.0000011357662,0.000028733954,0.0000032160176,0.001275497],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997259,0.0000343336,0.000011570259,0.000037876252,0.00010333764,0.00008704516],"domain_scores_gemma":[0.9998441,0.000029699031,0.000031967476,0.00002357134,0.00004890252,0.00002177769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028323455,0.00013151874,0.0002473727,0.00062895246,0.00075893465,0.0009643597,0.00025685946,0.00039931547,0.0018897284],"category_scores_gemma":[0.00050866365,0.00011614772,0.00028374942,0.00048810994,0.0006070868,0.00039778015,0.00074691855,0.00022434749,0.0002229869],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0054242886,0.0004358145,0.3150271,0.00042905577,0.0002314631,0.0125656985,0.0014771689,0.015634343,0.52346426,0.01382244,0.0017119485,0.109776475],"study_design_scores_gemma":[0.0002965817,0.0035189248,0.4411502,0.00017503779,0.00021210258,0.0043381825,0.0072608287,0.037135072,0.47462404,0.008148681,0.023086704,0.00005357604],"about_ca_topic_score_codex":0.0054228166,"about_ca_topic_score_gemma":0.019340802,"teacher_disagreement_score":0.0054228166,"about_ca_system_score_codex":0.0005915795,"about_ca_system_score_gemma":0.00086260325,"threshold_uncertainty_score":0.01078254},"labels":[],"label_agreement":null},{"id":"W3005148591","doi":"","title":"Pastefill Optimisation at Hecla Québec's Casa Berardi Mine","year":2019,"lang":"en","type":"article","venue":"53rd U.S. Rock Mechanics/Geomechanics Symposium","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Héma-Québec","funders":"","keywords":"Geology; Geography","score_opus":0.008483759331237664,"score_gpt":0.1944011738316974,"score_spread":0.18591741450045973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005148591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9496782,0.0006788322,0.008397272,0.0007561117,0.00004647672,0.00012886744,0.003254211,0.0010468444,0.036013193],"genre_scores_gemma":[0.9647593,0.00013688396,0.009912192,0.000101549136,0.0000045029747,0.00004154762,0.0016186702,0.00022469602,0.023200732],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99958056,0.00003690777,0.000009719966,0.00006275781,0.00017940701,0.0001305459],"domain_scores_gemma":[0.9995278,0.00009149152,0.000016803306,0.00002824561,0.00027250915,0.000063200925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006627331,0.0006437031,0.0010195416,0.00067411986,0.0020663952,0.0016744313,0.0012192201,0.0013028583,0.009713796],"category_scores_gemma":[0.0008265538,0.0004413291,0.0003848297,0.00075732975,0.00062220945,0.00048799947,0.0004855243,0.0007253561,0.0008974262],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018935758,0.0007656667,0.021809695,0.00042169547,0.00012775476,0.00078001537,0.00039764264,0.77288216,0.054506734,0.0034042748,0.029770302,0.113240466],"study_design_scores_gemma":[0.00042333768,0.0009976688,0.06516136,0.000060064045,0.00009386118,0.00012159265,0.0016777928,0.87383354,0.027939243,0.0013373208,0.028252365,0.00010185172],"about_ca_topic_score_codex":0.79906327,"about_ca_topic_score_gemma":0.9376235,"teacher_disagreement_score":0.79906327,"about_ca_system_score_codex":0.010370897,"about_ca_system_score_gemma":0.009522373,"threshold_uncertainty_score":0.40424013},"labels":[],"label_agreement":null},{"id":"W3006458728","doi":"10.1007/s11053-020-09628-0","title":"Optimization of Mining–Mineral Processing Integration Using Unsupervised Machine Learning Algorithms","year":2020,"lang":"en","type":"article","venue":"Natural Resources Research","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cluster analysis; Computer science; Data mining; Block (permutation group theory); Metric (unit); Data processing; Algorithm; Mineral processing; Machine learning; Artificial intelligence; Pattern recognition (psychology); Engineering; Mathematics; Database","score_opus":0.07050172239720888,"score_gpt":0.33016659520014185,"score_spread":0.259664872802933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006458728","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.089244656,0.00045681448,0.90227145,0.00031075103,0.00008070679,0.00011989412,0.00017376215,0.0021579263,0.0051839426],"genre_scores_gemma":[0.69187367,0.00017536023,0.30263305,0.00014421904,0.00006720484,0.00026653367,0.0005400759,0.0003444649,0.0039554043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947304,0.00013288023,0.000033731,0.00013161862,0.00013708914,0.00009163128],"domain_scores_gemma":[0.9986895,0.0007963491,0.000100979676,0.00010450315,0.00026188465,0.000046848527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010527475,0.0013274091,0.0015343787,0.001058631,0.00075632764,0.0014791221,0.0013023148,0.0018404647,0.00391361],"category_scores_gemma":[0.002939429,0.00103669,0.0013054593,0.0011951893,0.00076036766,0.001464025,0.0012628104,0.0013158728,0.00086133595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007948123,0.000085860884,0.00052549946,0.000048827907,0.000053818218,0.000039481867,0.000017235736,0.9611583,0.0017014617,0.0008054051,0.0005736284,0.034911036],"study_design_scores_gemma":[0.000006413456,0.0000174393,0.00013693127,0.0000019494535,0.000008486584,0.0000070276465,0.0000059337285,0.99852777,0.00063929084,0.0004672822,0.0001786355,0.0000027921806],"about_ca_topic_score_codex":0.012365013,"about_ca_topic_score_gemma":0.0135784075,"teacher_disagreement_score":0.012365013,"about_ca_system_score_codex":0.0012210971,"about_ca_system_score_gemma":0.0029253936,"threshold_uncertainty_score":0.024586082},"labels":[],"label_agreement":null},{"id":"W3009168977","doi":"10.1080/17480930.2020.1723823","title":"Digging force and power consumption during robotic excavation of cable shovel: experimental study and DEM simulation","year":2020,"lang":"en","type":"article","venue":"International Journal of Mining Reclamation and Environment","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Shovel; Digging; Engineering; Excavator; Range (aeronautics); Excavation; Power consumption; Power (physics); Marine engineering; Simulation; Structural engineering; Mechanical engineering; Geotechnical engineering","score_opus":0.02336668587296892,"score_gpt":0.25165725889553087,"score_spread":0.22829057302256195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009168977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99509746,0.000022638613,0.0035099066,0.00001619418,0.0000059989493,0.000014534963,0.00016221596,0.00010586635,0.0010650966],"genre_scores_gemma":[0.998128,0.000023697441,0.0013605889,0.00000234863,9.0515204e-7,0.000010622415,0.00007611844,0.0000043710247,0.00039319234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999895,0.000012640065,0.000008351347,0.000023049859,0.000034155724,0.000026781152],"domain_scores_gemma":[0.9996371,0.0001617073,0.000034882654,0.00006736818,0.00006943526,0.000029396755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002552234,0.00036561006,0.0003488551,0.0005926899,0.00029265738,0.0002552538,0.0004894637,0.0005328056,0.0012043747],"category_scores_gemma":[0.00051935215,0.00015178807,0.00034791185,0.0004336873,0.0003968921,0.00042985933,0.00024058964,0.0002789257,0.00016034387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014161135,0.0013593404,0.058008045,0.0008372661,0.000096805445,0.0029447945,0.0015514061,0.6358825,0.20741647,0.0023952506,0.0022200192,0.08587197],"study_design_scores_gemma":[0.00006762717,0.0011365477,0.048283238,0.00002344354,0.000042785345,0.00038505785,0.0008515961,0.90081954,0.046385072,0.0005119674,0.0014288363,0.00006429349],"about_ca_topic_score_codex":0.0019002326,"about_ca_topic_score_gemma":0.0033966093,"teacher_disagreement_score":0.0019002326,"about_ca_system_score_codex":0.00019107643,"about_ca_system_score_gemma":0.00018109716,"threshold_uncertainty_score":0.0040290356},"labels":[],"label_agreement":null},{"id":"W3010525833","doi":"10.1002/cjce.23742","title":"Just‐in‐time learning for the prediction of oil sands ore characteristics using GPS data in mining applications","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Syncrude (Canada); University of Alberta","funders":"","keywords":"Shovel; Global Positioning System; Block (permutation group theory); Core (optical fiber); Mining engineering; Data mining; Geology; Computer science; Engineering; Mechanical engineering","score_opus":0.034766887816154,"score_gpt":0.2246164305108639,"score_spread":0.1898495426947099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010525833","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38816446,0.0006764016,0.6068221,0.0004348705,0.00010643264,0.000065096036,0.0006475861,0.0019582813,0.0011247603],"genre_scores_gemma":[0.95820504,0.00016789696,0.03999627,0.00005063794,0.00003185318,0.000050780403,0.0006145658,0.0000284918,0.00085444766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978644,0.000050357918,0.000020217773,0.000063337364,0.00004975661,0.000029900339],"domain_scores_gemma":[0.9992662,0.00039797724,0.00008555975,0.00006800898,0.00014106673,0.00004128259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006068919,0.0007884826,0.000683432,0.0005728643,0.00023667632,0.0006022327,0.0009201119,0.0008233606,0.00079148856],"category_scores_gemma":[0.0017123667,0.0003990569,0.0004801057,0.0005931807,0.00032101452,0.00073981757,0.0005201376,0.0008033989,0.0003381933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015951862,0.00014834804,0.006331328,0.00003993472,0.000054652788,0.000082638704,0.000027064538,0.9335171,0.0027849993,0.00048118545,0.00052770297,0.0558455],"study_design_scores_gemma":[0.0000012942963,0.000007835693,0.000277225,7.9480844e-7,0.000001409683,0.000003036978,0.000002115767,0.9993112,0.00023992169,0.00011566337,0.00003793861,0.0000015534727],"about_ca_topic_score_codex":0.014069362,"about_ca_topic_score_gemma":0.013145294,"teacher_disagreement_score":0.014069362,"about_ca_system_score_codex":0.0004053299,"about_ca_system_score_gemma":0.0006972605,"threshold_uncertainty_score":0.027974904},"labels":[],"label_agreement":null},{"id":"W3012563569","doi":"10.1142/9789814355391_0001","title":"DETERMINATION OF PLATINUM GROUP ELEMENTS IN GEOLOGICAL SAMPLES BY ISOTOPE DILUTION INDUCTIVELY COUPLED PLASMA MASS SPECTROMETRY USING HYDROGEN IN COLLISION REACTION INTERFACE","year":2011,"lang":"en","type":"book-chapter","venue":"World Scientific Publishing Co. Pte. Ltd. eBooks","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Isotope dilution; Inductively coupled plasma mass spectrometry; Platinum group; Chemistry; Mass spectrometry; Platinum; Hydrogen; Analytical Chemistry (journal); Isotope; Inductively coupled plasma; Plasma; Radiochemistry; Chromatography; Nuclear physics; Physics; Catalysis; Organic chemistry","score_opus":0.04074958854066632,"score_gpt":0.25088639877203295,"score_spread":0.21013681023136663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012563569","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22333087,0.0311974,0.67962307,0.000701154,0.0005425485,0.00034188433,0.0028066605,0.0028834846,0.058572818],"genre_scores_gemma":[0.45238003,0.02581418,0.4206956,0.0003643702,0.000095333984,0.0002563716,0.0028245114,0.00047527504,0.09709421],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99970585,0.000025592914,0.0000140186785,0.00008591741,0.0001586545,0.000009977317],"domain_scores_gemma":[0.9998777,0.000058364065,0.000008954245,0.00001705347,0.000031606924,0.0000063107113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003076797,0.00038217715,0.00036193582,0.0008370808,0.00023089143,0.0004972855,0.0009603579,0.00048715336,0.002589165],"category_scores_gemma":[0.00036830196,0.0004068327,0.0002871132,0.000842833,0.00028165895,0.0006585603,0.000457749,0.0005918813,0.0022409193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058367936,0.000023164568,0.00057701964,0.00020817913,0.000016907961,0.00012320922,0.000052957977,0.00020050141,0.92958874,0.00071306626,0.0010929757,0.067344785],"study_design_scores_gemma":[0.0000089253435,0.0001279186,0.0020040509,0.00001610283,0.000024807354,0.0015318169,0.00003651891,0.0017559621,0.9673806,0.001146988,0.025948593,0.000017746168],"about_ca_topic_score_codex":0.00047492783,"about_ca_topic_score_gemma":0.0016964329,"teacher_disagreement_score":0.002589165,"about_ca_system_score_codex":0.0002735307,"about_ca_system_score_gemma":0.00022779511,"threshold_uncertainty_score":0.008661628},"labels":[],"label_agreement":null},{"id":"W3015764328","doi":"10.1016/j.powtec.2020.04.002","title":"A mineral liberation distribution estimator for monitoring and process control applications","year":2020,"lang":"en","type":"article","venue":"Powder Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Liberation; Sieve analysis; Estimator; Sieve (category theory); Comminution; Particle-size distribution; Mineralogy; Process analytical technology; Mineral; Mathematics; Population; Statistics; Particle size; Chemistry; Materials science; Nanotechnology; Engineering; Chemical engineering; Metallurgy; Combinatorics","score_opus":0.00977186845530952,"score_gpt":0.24365601804472836,"score_spread":0.23388414958941883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015764328","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013298869,0.00020504215,0.98494846,0.000058581856,0.00004192938,0.000026721618,0.0000774567,0.0008105576,0.00053237367],"genre_scores_gemma":[0.59831905,0.0003717852,0.39480546,0.00015215896,0.00016135165,0.00011689429,0.0003146908,0.00012313479,0.005635482],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996263,0.000048963255,0.000016879569,0.00013735385,0.0001503652,0.00002003262],"domain_scores_gemma":[0.99937856,0.0002604923,0.000087147375,0.000062501334,0.00019024883,0.000021116151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070685474,0.0004704202,0.0009913273,0.00056924636,0.00028383167,0.0006829714,0.0006506971,0.00060580426,0.0011174451],"category_scores_gemma":[0.0013520342,0.00027360895,0.00032677516,0.00043466967,0.0002236201,0.00085428415,0.00037933412,0.00053224806,0.000545839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071758,0.00038009408,0.008018485,0.00023988355,0.00013534744,0.00012042413,0.000053635267,0.08046705,0.23836361,0.0049151205,0.0030170276,0.6635718],"study_design_scores_gemma":[0.000025429203,0.00017640073,0.0026584507,0.0000073319056,0.000037800328,0.00014635925,0.000007408907,0.94884235,0.044094544,0.00075668574,0.0032239456,0.00002336842],"about_ca_topic_score_codex":0.0010270115,"about_ca_topic_score_gemma":0.0013652224,"teacher_disagreement_score":0.0011174451,"about_ca_system_score_codex":0.00027684806,"about_ca_system_score_gemma":0.00042950377,"threshold_uncertainty_score":0.0037382245},"labels":[],"label_agreement":null},{"id":"W3015766916","doi":"10.1007/s12613-020-2059-3","title":"Visualization of flow behavior in ore-segregated packed beds with fine interlayers","year":2020,"lang":"en","type":"article","venue":"International Journal of Minerals Metallurgy and Materials","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Packed bed; Heap (data structure); Heap leaching; Porosity; Materials science; Flow (mathematics); Flow velocity; Fluid dynamics; Multiphysics; Mechanics; Porous medium; Geology; Flow visualization; Composite material; Mineralogy; Chemistry; Metallurgy; Physics; Finite element method; Thermodynamics; Chromatography; Computer science","score_opus":0.017034292008790055,"score_gpt":0.25461966826731236,"score_spread":0.2375853762585223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015766916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921745,0.00024477846,0.005293171,0.00012809334,0.00003512922,0.000019982399,0.00035381384,0.00041526865,0.0013353585],"genre_scores_gemma":[0.99206334,0.0002111748,0.006151483,0.00004056451,0.000018029565,0.000020672931,0.00026795157,0.000026148587,0.001200646],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999553,0.0000029251703,0.0000024219173,0.000010943052,0.000012675932,0.000015765709],"domain_scores_gemma":[0.9998721,0.000045452776,0.0000148551935,0.000007830064,0.00002468266,0.000035045392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000083894935,0.0002637098,0.0002254402,0.00063454534,0.00037646826,0.00037720453,0.0002543166,0.00045718474,0.0023957915],"category_scores_gemma":[0.00011340305,0.00017774207,0.0001761242,0.00027582716,0.0002733237,0.0003101607,0.00020371404,0.00056744524,0.00015250097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055067695,0.00017387926,0.003202318,0.00010110168,0.000016084185,0.00045142567,0.00017734896,0.0031603589,0.9840731,0.00051109196,0.00041560837,0.007167132],"study_design_scores_gemma":[0.0001844812,0.0006176731,0.083659224,0.00007421746,0.00006771312,0.0004934759,0.0005880507,0.16960235,0.7408072,0.0011094407,0.0027187325,0.00007743988],"about_ca_topic_score_codex":0.001936222,"about_ca_topic_score_gemma":0.0018901043,"teacher_disagreement_score":0.0023957915,"about_ca_system_score_codex":0.00022544643,"about_ca_system_score_gemma":0.00030827193,"threshold_uncertainty_score":0.008014679},"labels":[],"label_agreement":null},{"id":"W3018770225","doi":"10.1002/jctb.6452","title":"Nickel carbonyl formation in a fluidized bed reactor: experimental investigation and modeling","year":2020,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sheridan College","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carbon monoxide; Fluidized bed; Nickel; Reaction rate; Thermodynamics; Chemistry; Diffusion; Chemical kinetics; Materials science; Kinetics; Catalysis; Organic chemistry; Physics","score_opus":0.021282020288721865,"score_gpt":0.23353573176530043,"score_spread":0.21225371147657857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018770225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9765327,0.0007355366,0.018986585,0.00007453792,0.00002911363,0.00008936212,0.00036190092,0.00020121671,0.0029891185],"genre_scores_gemma":[0.9957106,0.00029239416,0.0032203796,0.000005268498,0.000004298661,0.000041559946,0.0001467517,0.000006202618,0.000572599],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997367,0.0000422361,0.000016077129,0.00005988722,0.00010075016,0.00004437184],"domain_scores_gemma":[0.9996948,0.00017173242,0.00003283906,0.000026531137,0.000060135837,0.0000138382475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005421586,0.0005863391,0.0009457722,0.00037670232,0.00058324623,0.00072700105,0.0009264466,0.0008514488,0.00089189544],"category_scores_gemma":[0.0006304549,0.00032058544,0.00062307704,0.00040879942,0.0004919509,0.00060328515,0.00028359875,0.00052310486,0.0001999761],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010975664,0.0007519656,0.007943613,0.0013917556,0.0000767351,0.00062525313,0.00020549932,0.67704165,0.29110476,0.0037373567,0.0004393585,0.01558446],"study_design_scores_gemma":[0.00006321451,0.00039625933,0.0017782218,0.000009806764,0.000019011977,0.000044512562,0.000034119006,0.8432884,0.15323049,0.00034380346,0.0007595546,0.000032626893],"about_ca_topic_score_codex":0.005541407,"about_ca_topic_score_gemma":0.0020632658,"teacher_disagreement_score":0.005541407,"about_ca_system_score_codex":0.001296187,"about_ca_system_score_gemma":0.00051144214,"threshold_uncertainty_score":0.011018336},"labels":[],"label_agreement":null},{"id":"W3021888052","doi":"","title":"Tracking Convergence, Spalling, and Cutter Roof Formation at the Pleasant Gap Limestone Mine Using LiDAR","year":2019,"lang":"en","type":"article","venue":"53rd U.S. Rock Mechanics/Geomechanics Symposium","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Graymont (Canada)","funders":"","keywords":"Spall; Roof; Lidar; Convergence (economics); Mining engineering; Geology; Tracking (education); Environmental science; Remote sensing; Engineering; Materials science; Metallurgy; Civil engineering; Economics","score_opus":0.01875117532116717,"score_gpt":0.22333389884339144,"score_spread":0.20458272352222429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021888052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959716,0.00003776483,0.0014941702,0.000085748456,0.000010045524,0.000015582184,0.00031655468,0.0001568182,0.0019116296],"genre_scores_gemma":[0.9950191,0.000026329017,0.003696949,0.000019636518,0.000004912516,0.00001053993,0.0003813537,0.0000110858855,0.0008300128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981695,0.000016087117,0.0000053239996,0.000042182444,0.00006667212,0.000052854426],"domain_scores_gemma":[0.9998072,0.000023579214,0.000019987521,0.000010818365,0.000085121435,0.000053268344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023230688,0.00020104769,0.00028844635,0.0009964291,0.00045855454,0.00048483614,0.00043881396,0.0005239177,0.0006290663],"category_scores_gemma":[0.00042415698,0.00021396058,0.00013423058,0.00044256847,0.00015621158,0.0003295989,0.0006734357,0.00045235682,0.00032349475],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004623983,0.00063947064,0.7737925,0.00008253639,0.00008432842,0.0012149715,0.0018811963,0.016402751,0.09888502,0.0006300545,0.004954721,0.10097],"study_design_scores_gemma":[0.000060166185,0.0002056311,0.80593616,0.000039679453,0.000028743278,0.00023278623,0.0019992138,0.18278423,0.006027746,0.00024792328,0.0024015794,0.0000361851],"about_ca_topic_score_codex":0.022443742,"about_ca_topic_score_gemma":0.09108845,"teacher_disagreement_score":0.022443742,"about_ca_system_score_codex":0.00031980002,"about_ca_system_score_gemma":0.0006022852,"threshold_uncertainty_score":0.044626236},"labels":[],"label_agreement":null},{"id":"W3022659591","doi":"","title":"Practical Considerations In The Use Of Rock Mass Classification In Mining","year":2000,"lang":"en","type":"article","venue":"ISRM International Symposium","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; University of Saskatchewan","funders":"","keywords":"Rock mass classification; Mining engineering; Computer science; Data mining; Geology; Artificial intelligence; Geotechnical engineering","score_opus":0.07923791667703894,"score_gpt":0.30307169421524993,"score_spread":0.223833777538211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022659591","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039184853,0.011107733,0.8439414,0.06372411,0.0022271285,0.0007163321,0.0005607508,0.0022272507,0.036310423],"genre_scores_gemma":[0.26773077,0.003415147,0.7138022,0.003135344,0.0012620997,0.00035953458,0.00027068582,0.00040878964,0.009615421],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9833161,0.010158756,0.0010384703,0.0010532176,0.0041364203,0.0002969578],"domain_scores_gemma":[0.91882825,0.060114954,0.0019009785,0.0050161434,0.013169333,0.0009703921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02317267,0.0016011603,0.0017609366,0.0029120357,0.0025148354,0.009506326,0.0059578572,0.006035659,0.010591036],"category_scores_gemma":[0.08599436,0.0009066836,0.00093261205,0.0027982872,0.004606851,0.007710543,0.0031962453,0.0040898095,0.0051404815],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019120513,0.0007336255,0.028188834,0.002193964,0.00026126744,0.0015890939,0.0018690997,0.037092306,0.021343224,0.094308816,0.03655938,0.7739484],"study_design_scores_gemma":[0.0006328068,0.002041588,0.035396527,0.0027666488,0.00047248864,0.012440216,0.010768487,0.32091716,0.039644193,0.35288706,0.2211139,0.0009189783],"about_ca_topic_score_codex":0.011120529,"about_ca_topic_score_gemma":0.021423817,"teacher_disagreement_score":0.02317267,"about_ca_system_score_codex":0.0016040571,"about_ca_system_score_gemma":0.0029657434,"threshold_uncertainty_score":0.12255019},"labels":[],"label_agreement":null},{"id":"W3023283703","doi":"10.3997/2214-4609-pdb.197.sbgf_2476","title":"Case Study Of Ztem Airborne Tipper Afmag Results Over A Magmatic Nickel Deposit At Forrestania, West Australia","year":2010,"lang":"pt","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Ultramafic rock; Prospecting; Geochemistry; Nickel; Geomorphology; Humanities; Materials science; Metallurgy","score_opus":0.03053666983591288,"score_gpt":0.2819957882618118,"score_spread":0.25145911842589896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023283703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977748,0.000024139883,0.00068376603,0.000031286436,0.0000024701446,0.000018850105,0.000064334236,0.000027683876,0.0013725761],"genre_scores_gemma":[0.99770725,0.000017644365,0.0013970154,0.000014184462,0.0000019566355,0.0000037597881,0.000048258287,0.000004422687,0.00080553076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996778,0.000025262241,0.00001478501,0.0000607528,0.00016861156,0.00005286713],"domain_scores_gemma":[0.99960285,0.000082608705,0.000061846054,0.000034746627,0.00017900647,0.00003894066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029725084,0.0002701681,0.0002066377,0.00053830777,0.0006115781,0.0003756038,0.00043608964,0.00056492584,0.00057485217],"category_scores_gemma":[0.0007005158,0.00018986852,0.00018383155,0.00039338108,0.00036806837,0.00026225284,0.0005074948,0.0002242938,0.00016711869],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007205768,0.0002452983,0.52798057,0.0002697526,0.00011977781,0.03490369,0.008569058,0.0078015276,0.36414945,0.00054513145,0.001101948,0.053593263],"study_design_scores_gemma":[0.000026019206,0.0007398436,0.90906614,0.000029837882,0.00006627751,0.0077201547,0.0039511113,0.013606209,0.060621493,0.00017903908,0.003962073,0.00003170724],"about_ca_topic_score_codex":0.028708456,"about_ca_topic_score_gemma":0.09829868,"teacher_disagreement_score":0.028708456,"about_ca_system_score_codex":0.00052750984,"about_ca_system_score_gemma":0.0003041113,"threshold_uncertainty_score":0.057082713},"labels":[],"label_agreement":null},{"id":"W3023882825","doi":"10.1109/tmech.2020.2992706","title":"Operating Mode Recognition Based on Fluctuation Interval Prediction for Iron Ore Sintering Process","year":2020,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China University of Geosciences, Wuhan; Higher Education Discipline Innovation Project; China Scholarship Council; National Natural Science Foundation of China","keywords":"Interval (graph theory); Mode (computer interface); Realization (probability); Artificial neural network; Process (computing); Computer science; Operating point; Factory (object-oriented programming); Principal component analysis; Sintering; Engineering; Control theory (sociology); Artificial intelligence; Control (management); Mathematics; Materials science; Metallurgy; Statistics; Electronic engineering","score_opus":0.029854431256985222,"score_gpt":0.2567153176290553,"score_spread":0.22686088637207008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023882825","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.111853324,0.00024916892,0.8845344,0.00006350873,0.00004531757,0.00004323771,0.00006396143,0.0015219908,0.001624997],"genre_scores_gemma":[0.9403835,0.00014373894,0.058590177,0.00002265952,0.000016471291,0.00003433524,0.00008063586,0.000030224435,0.00069827994],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968004,0.00003455486,0.00002660539,0.00009441177,0.00013884116,0.00002561677],"domain_scores_gemma":[0.99968004,0.000110527275,0.000056730074,0.000033973232,0.00010587905,0.0000129729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003838767,0.00042372418,0.00039445248,0.0006294819,0.0002433609,0.00037595793,0.00037687618,0.00026892117,0.00065279816],"category_scores_gemma":[0.0012113872,0.00015660978,0.00035347094,0.000526522,0.00023133634,0.0005132129,0.00022862195,0.00040580193,0.00015445717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064415927,0.00017838944,0.012787305,0.00018594324,0.000062379244,0.00034822256,0.00035097008,0.23188077,0.08642234,0.0022773976,0.0016901777,0.6631719],"study_design_scores_gemma":[0.0000048132115,0.00004248643,0.0029877662,0.0000040139826,0.000010934023,0.000060916835,0.000016870305,0.98802024,0.008166479,0.00042453586,0.00024709277,0.0000139297745],"about_ca_topic_score_codex":0.0040606176,"about_ca_topic_score_gemma":0.0023636625,"teacher_disagreement_score":0.0040606176,"about_ca_system_score_codex":0.00023840733,"about_ca_system_score_gemma":0.0003558214,"threshold_uncertainty_score":0.008073986},"labels":[],"label_agreement":null},{"id":"W3024676951","doi":"10.1007/s11053-020-09692-6","title":"Simulation of Synthetic Exploration and Geometallurgical Database of Porphyry Copper Deposits for Educational Purposes","year":2020,"lang":"en","type":"article","venue":"Natural Resources Research","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Benchmarking; Computer science; Georeference; Drill; Field (mathematics); Data mining; Geostatistics; Coherence (philosophical gambling strategy); Database; Mineral exploration; Mining engineering; Geology; Engineering; Spatial variability; Geophysics; Statistics","score_opus":0.09090840982000116,"score_gpt":0.36052658619336614,"score_spread":0.269618176373365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024676951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9721949,0.00013259616,0.010161692,0.0002322293,0.00005550736,0.00005899089,0.004544859,0.0009640768,0.011655166],"genre_scores_gemma":[0.9920351,0.000056000066,0.004563188,0.00001943443,0.000005630684,0.000034633194,0.0017113093,0.00006146839,0.0015131567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988794,0.000021552853,0.0000060183343,0.00002569791,0.000029960866,0.000028951576],"domain_scores_gemma":[0.99962866,0.00019588917,0.0000233396,0.0000453687,0.00006754516,0.000039084982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019303767,0.00049654895,0.0004111565,0.00073248975,0.00051418436,0.0006117678,0.00093624357,0.0012184497,0.0053798067],"category_scores_gemma":[0.00096388435,0.0003792146,0.0005944496,0.00097571156,0.00049092266,0.0003573525,0.0004923203,0.00044909297,0.00035533204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008346612,0.00005312933,0.0033360336,0.00003724664,0.000021553908,0.00015594253,0.00003350144,0.9925243,0.0007835736,0.00037517457,0.0006361593,0.00195992],"study_design_scores_gemma":[0.000030599087,0.000030515015,0.0017089733,0.000005092427,0.000008348979,0.00004333283,0.000060597522,0.99637645,0.0008105219,0.00034549597,0.00057244883,0.0000075382154],"about_ca_topic_score_codex":0.031465437,"about_ca_topic_score_gemma":0.02337598,"teacher_disagreement_score":0.031465437,"about_ca_system_score_codex":0.00060788676,"about_ca_system_score_gemma":0.00094682793,"threshold_uncertainty_score":0.06256461},"labels":[],"label_agreement":null},{"id":"W3024948710","doi":"10.36487/acg_repo/2025_35","title":"Tools for validating and creating reliable fault models","year":2020,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Python (programming language); Leverage (statistics); Slope stability; Scalability; Fault (geology); Computer science; Geology; Geotechnical engineering; Database; Seismology; Artificial intelligence","score_opus":0.06534939029296356,"score_gpt":0.24504297006071066,"score_spread":0.17969357976774708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024948710","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019314706,0.00011151609,0.8970763,0.00017957605,0.00007873819,0.00019320933,0.00317306,0.09462874,0.0026274926],"genre_scores_gemma":[0.050671272,0.00054662215,0.90451485,0.00025212875,0.00004941978,0.0009880997,0.017940436,0.021664642,0.0033725624],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99604094,0.0006224614,0.0005854799,0.0006538265,0.0018553144,0.0002419711],"domain_scores_gemma":[0.98652565,0.005603115,0.0011562897,0.003748784,0.0026004363,0.0003657867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056688865,0.0026620922,0.0013948433,0.0037226176,0.0011048333,0.0044934647,0.0042750365,0.0019508009,0.017758818],"category_scores_gemma":[0.02687947,0.0022395498,0.0033220442,0.0020197125,0.0016376722,0.005357441,0.0063912356,0.0033559327,0.012352407],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035842665,0.00038385016,0.011813384,0.0035170382,0.00055163313,0.0017941103,0.00203284,0.36378446,0.024494404,0.073783,0.11430093,0.40318587],"study_design_scores_gemma":[0.00013650283,0.00008005998,0.0018319159,0.0005345755,0.000100781705,0.0007079996,0.0002988767,0.7227164,0.028766504,0.079946,0.16466871,0.00021173469],"about_ca_topic_score_codex":0.0051985285,"about_ca_topic_score_gemma":0.0062677134,"teacher_disagreement_score":0.017758818,"about_ca_system_score_codex":0.0011099624,"about_ca_system_score_gemma":0.0037970648,"threshold_uncertainty_score":0.05940914},"labels":[],"label_agreement":null},{"id":"W3025525495","doi":"10.13227/j.hjkx.2016.06.026","title":"[Mechanism and Surface Fractal Characteristics for the Adsorption of <i>p</i>-nitrophenol on Water-quenched Blast Furnace Slag].","year":2016,"lang":"en","type":"article","venue":"PubMed","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Adsorption; Freundlich equation; Enthalpy; Endothermic process; Chemistry; Aqueous solution; Thermodynamics; Fractal dimension; Fractal; Materials science; Physical chemistry; Mathematics","score_opus":0.014341510608374684,"score_gpt":0.18468294681649025,"score_spread":0.17034143620811557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025525495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928477,0.0007692748,0.005283504,0.00005898397,0.000022134394,0.00002644609,0.00017257225,0.0000617219,0.00075755164],"genre_scores_gemma":[0.9982376,0.00024479488,0.0009933423,0.000008311861,0.0000029845007,0.00000890102,0.00013017484,0.0000029761104,0.00037087782],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999567,0.0000038939716,0.0000013502793,0.00000961827,0.000016660888,0.000011792883],"domain_scores_gemma":[0.999941,0.000020523783,0.000013066778,0.000004092569,0.000016496104,0.00000477517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000118755685,0.00018492858,0.00008295367,0.0003747681,0.0001763228,0.0001124432,0.0002965375,0.0002458465,0.00072958437],"category_scores_gemma":[0.00019901739,0.0001052008,0.0002631071,0.00017562932,0.00024723195,0.00024145115,0.000060156377,0.00020880961,0.00012471412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096651085,0.000027038966,0.0015775849,0.00013986467,0.000013704092,0.0001220963,0.00007662935,0.0020588539,0.99009293,0.0008026224,0.0003007546,0.0046912557],"study_design_scores_gemma":[0.000014586185,0.00017044078,0.024520462,0.00000704304,0.000016406242,0.00035859112,0.000084058505,0.043098133,0.92978483,0.00056322565,0.0013498125,0.000032394863],"about_ca_topic_score_codex":0.0027172717,"about_ca_topic_score_gemma":0.0012884296,"teacher_disagreement_score":0.0027172717,"about_ca_system_score_codex":0.00026107332,"about_ca_system_score_gemma":0.00011641228,"threshold_uncertainty_score":0.005402863},"labels":[],"label_agreement":null},{"id":"W3029770114","doi":"10.34194/ggub.v189.5160","title":"The Nalunaq gold prospect, South Greenland: test mining for feasibility studies","year":2001,"lang":"en","type":"article","venue":"Geology of Greenland Survey Bulletin","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Crew; Fjord; Corporation; Sample (material); Geography; Environmental resource management; Engineering; Oceanography; Environmental science; Mining engineering; Archaeology; Geology; Business","score_opus":0.060765604406003475,"score_gpt":0.2848223005655144,"score_spread":0.2240566961595109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3029770114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9079118,0.00091205677,0.012228237,0.003918906,0.00011056013,0.0065113204,0.002317882,0.00013442156,0.06595486],"genre_scores_gemma":[0.9092924,0.00094210386,0.045069568,0.0009243971,0.000031291696,0.0026853762,0.0031100016,0.000074434705,0.03787033],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99882895,0.00029766443,0.000030403811,0.00011000442,0.0005176207,0.00021537676],"domain_scores_gemma":[0.99878937,0.0002459071,0.00009077563,0.00009910761,0.00048183344,0.00029308238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029506988,0.00034500496,0.00021743472,0.00090730545,0.0017296901,0.0009089516,0.0009693519,0.000560512,0.005328052],"category_scores_gemma":[0.0016880882,0.00032555126,0.000261617,0.00077793293,0.0009997359,0.00076030573,0.0012393905,0.0006209509,0.0008694805],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004592038,0.0044705626,0.32017416,0.0019340763,0.00011997282,0.014844458,0.017239483,0.006906617,0.13481548,0.014981915,0.037618566,0.44230267],"study_design_scores_gemma":[0.00085738103,0.012873057,0.65440893,0.00051219,0.00007874346,0.0023628785,0.03046019,0.004752198,0.021974502,0.0038443974,0.2677845,0.00009111806],"about_ca_topic_score_codex":0.10585268,"about_ca_topic_score_gemma":0.36369917,"teacher_disagreement_score":0.10585268,"about_ca_system_score_codex":0.0028934455,"about_ca_system_score_gemma":0.009397738,"threshold_uncertainty_score":0.21047306},"labels":[],"label_agreement":null},{"id":"W3031953312","doi":"10.30632/pjv61n3-2020a2","title":"CASE STUDIES DEMONSTRATING THE IMPACT OF CEMENT QUALITY ON CARBON/OXYGEN AND ELEMENTAL ANALYSIS FROM CASEDHOLE PULSED-NEUTRON LOGGING","year":2020,"lang":"en","type":"article","venue":"Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Chevron (Canada)","funders":"","keywords":"Logging; Elemental analysis; Cement; Neutron activation analysis; Environmental science; Carbon fibers; Quality (philosophy); Oxygen; Radiochemistry; Materials science; Chemistry; Metallurgy; Physics; Composite material; Forestry; Inorganic chemistry","score_opus":0.10561050893540472,"score_gpt":0.35112356426836644,"score_spread":0.24551305533296172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031953312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99388194,0.000057627156,0.003482655,0.0000924391,0.000005748151,0.00004303001,0.00019194769,0.00008537902,0.0021592006],"genre_scores_gemma":[0.99434364,0.000065867156,0.0044258586,0.000020236792,0.0000020956668,0.000010468655,0.000098547884,0.000027252989,0.0010060396],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994142,0.00008735119,0.000032475757,0.00006755657,0.0003268522,0.00007162223],"domain_scores_gemma":[0.9980489,0.0010063669,0.00017828932,0.00023600967,0.00043684698,0.00009348809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012638854,0.00046686138,0.00024702764,0.0010313165,0.001112716,0.00068294926,0.00079302787,0.0015318416,0.0014304973],"category_scores_gemma":[0.0025438804,0.00020098155,0.0003269874,0.0012181544,0.0010014628,0.0005144883,0.00060295407,0.00052870205,0.00030162546],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005210513,0.0018993695,0.344872,0.00078407745,0.00017772439,0.08320314,0.009167022,0.056214042,0.37636694,0.0030173624,0.0028817174,0.11620617],"study_design_scores_gemma":[0.00018176234,0.0019963211,0.23613657,0.00016755387,0.00027381582,0.035516232,0.0077883014,0.07215573,0.6277204,0.0030200696,0.014795253,0.00024796624],"about_ca_topic_score_codex":0.0064803315,"about_ca_topic_score_gemma":0.022070311,"teacher_disagreement_score":0.0064803315,"about_ca_system_score_codex":0.00068891916,"about_ca_system_score_gemma":0.00036038161,"threshold_uncertainty_score":0.012885213},"labels":[],"label_agreement":null},{"id":"W3034162777","doi":"","title":"Integration of local industry theme examples in process control education: a case from north-eastern quebec","year":2011,"lang":"en","type":"article","venue":"International journal of engineering education","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Theme (computing); Multidisciplinary approach; Process (computing); Engineering; Controller (irrigation); Control (management); Process control; Computer science; Manufacturing engineering; Engineering management; Industrial engineering; Sociology; Artificial intelligence; Social science","score_opus":0.01879892909559432,"score_gpt":0.25680125181892977,"score_spread":0.23800232272333544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034162777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94320744,0.00033904062,0.0028791858,0.0030554351,0.00003883253,0.00017251424,0.00013729396,0.00012400353,0.05004614],"genre_scores_gemma":[0.9685545,0.00019413093,0.001923535,0.00040050622,0.000005343478,0.000036297828,0.00010432227,0.000028187531,0.028753133],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99850935,0.00047055373,0.000026066753,0.00011530183,0.0002932672,0.0005854486],"domain_scores_gemma":[0.997433,0.0005117472,0.00009006363,0.00010032187,0.0008239175,0.001040997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013152437,0.00032841298,0.00021741774,0.00050011365,0.008796607,0.0024466794,0.0014587145,0.0017993477,0.0074862796],"category_scores_gemma":[0.002185778,0.00023976686,0.00026942263,0.0014517301,0.0014693512,0.00063706434,0.0014178536,0.0012943342,0.0005808652],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013883247,0.009782125,0.21470322,0.00087119243,0.00015061435,0.054949563,0.13665834,0.06474392,0.017516905,0.043542888,0.05610645,0.39958653],"study_design_scores_gemma":[0.0004063316,0.0020687813,0.20542164,0.0005701396,0.0001395548,0.0045934548,0.27581155,0.056636594,0.010069177,0.0029087162,0.44110188,0.0002722736],"about_ca_topic_score_codex":0.93551797,"about_ca_topic_score_gemma":0.9835302,"teacher_disagreement_score":0.06448203,"about_ca_system_score_codex":0.03157423,"about_ca_system_score_gemma":0.024795739,"threshold_uncertainty_score":0.22908819},"labels":[],"label_agreement":null},{"id":"W3034165999","doi":"10.1016/j.advengsoft.2020.102836","title":"DigiSim — An Open Source Software Package for Heterogeneous Material Modeling Based on Digital Image Processing","year":2020,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Bitmap; Computer science; MATLAB; Computational science; Finite element method; Software; Computer graphics (images); Open source; Source code; Image processing; Digital image; Digital image processing; Image (mathematics); Engineering drawing; Computer vision; Programming language; Engineering; Structural engineering","score_opus":0.013158888931748018,"score_gpt":0.2462087862365405,"score_spread":0.23304989730479247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034165999","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054482003,0.00022487227,0.7536964,0.00013392771,0.0001538608,0.00019751523,0.008622961,0.22503924,0.006483035],"genre_scores_gemma":[0.099932395,0.0010118106,0.75732976,0.0005773685,0.00011441281,0.0015117694,0.029905656,0.09247751,0.017139344],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971586,0.000024402689,0.000028941735,0.00006548209,0.00012808757,0.000037194754],"domain_scores_gemma":[0.999566,0.00017897325,0.00003620094,0.00007671732,0.000108508044,0.000033478387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053978775,0.0018284625,0.0013281767,0.0015431275,0.0006398674,0.0017284055,0.00347831,0.0012284723,0.041062705],"category_scores_gemma":[0.001610043,0.0014974765,0.0020342458,0.0009156813,0.00041104446,0.0013797127,0.0016564621,0.0023672746,0.011115333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000549661,0.00047512972,0.0046744626,0.0040448103,0.0013703528,0.0010703186,0.00081701175,0.20552932,0.058798313,0.03472103,0.29117665,0.39677292],"study_design_scores_gemma":[0.00021891661,0.000062211555,0.0014821407,0.0001402494,0.00018003244,0.0005417032,0.00008505834,0.72909784,0.03751238,0.019209057,0.21128482,0.00018571594],"about_ca_topic_score_codex":0.0053045764,"about_ca_topic_score_gemma":0.0069896495,"teacher_disagreement_score":0.041062705,"about_ca_system_score_codex":0.0006270425,"about_ca_system_score_gemma":0.0014270085,"threshold_uncertainty_score":0.13736844},"labels":[],"label_agreement":null},{"id":"W3035378380","doi":"","title":"The Analogue Shear Zone: From Rheology To Associated Geometry","year":2006,"lang":"en","type":"article","venue":"QUT ePrints (Queensland University of Technology)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Rheology; Shear (geology); Geology; Strain hardening exponent; Finite strain theory; Shear zone; Non-Newtonian fluid; Mechanics; Finite element method; Geotechnical engineering; Materials science; Composite material; Physics; Petrology; Thermodynamics","score_opus":0.0036836745216528655,"score_gpt":0.16668323914679456,"score_spread":0.1629995646251417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035378380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7061324,0.007867241,0.2111159,0.0010108509,0.00048149333,0.0001191617,0.0005240243,0.0006333303,0.07211556],"genre_scores_gemma":[0.9852223,0.001635625,0.008313438,0.000049569706,0.00020052235,0.000015449696,0.00008948752,0.000094294286,0.004379396],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979764,0.000045485158,0.0000106613115,0.00006408474,0.000055986882,0.000026219486],"domain_scores_gemma":[0.9995871,0.0000948213,0.000091149705,0.00011935227,0.000046873738,0.000060739592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002607882,0.00041866035,0.00042534134,0.001428975,0.0003303703,0.0019369739,0.0007805099,0.0006052724,0.0043382114],"category_scores_gemma":[0.001429139,0.00030850185,0.0001944355,0.0008377347,0.002058673,0.002969386,0.0011406905,0.0008037856,0.00067748735],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042157684,0.00011318146,0.0032024349,0.00030469964,0.000028228791,0.0005916575,0.0006179673,0.022767061,0.088716954,0.80864567,0.0018552282,0.072735325],"study_design_scores_gemma":[0.000073794334,0.00042530676,0.010700336,0.000092527676,0.00003690422,0.0012026799,0.00046799856,0.19490905,0.034392975,0.7244562,0.033103384,0.00013888023],"about_ca_topic_score_codex":0.00022760735,"about_ca_topic_score_gemma":0.00011048985,"teacher_disagreement_score":0.0043382114,"about_ca_system_score_codex":0.00031992138,"about_ca_system_score_gemma":0.00012671638,"threshold_uncertainty_score":0.014512718},"labels":[],"label_agreement":null},{"id":"W3035899752","doi":"10.1088/1742-6596/1550/3/032046","title":"Feature Extraction Method of Ball Mill Load Based on Adaptive Variational Mode Decomposition and Improved Power Spectrum Analysis","year":2020,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; McGill University","funders":"National Natural Science Foundation of China","keywords":"Ball mill; Mill; Grinding; Vibration; Ball (mathematics); Control theory (sociology); Computer science; Engineering; Acoustics; Mathematics; Artificial intelligence; Mechanical engineering; Physics","score_opus":0.014660829245896463,"score_gpt":0.2786702163952899,"score_spread":0.2640093871493934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035899752","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04196092,0.00009765918,0.95661306,0.00003838412,0.000018202998,0.000028513532,0.00004682504,0.0004668223,0.00072953897],"genre_scores_gemma":[0.72310954,0.00017600918,0.27353206,0.000038795202,0.000022116188,0.00009963676,0.00024845332,0.00015424068,0.00261918],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997112,0.000031407242,0.000015046182,0.00007374725,0.00014757675,0.000021084257],"domain_scores_gemma":[0.9997863,0.000050747985,0.000022940974,0.000023761364,0.00010553886,0.000010662656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034379438,0.0005050118,0.00038846716,0.0006604758,0.00018862364,0.0003872071,0.000564218,0.00026418798,0.0015341166],"category_scores_gemma":[0.0006690855,0.00021850377,0.00041478558,0.00046222674,0.00021465204,0.00073120993,0.00037447293,0.00037086642,0.00035571234],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033136894,0.00010388644,0.0042737965,0.00023527691,0.000065137014,0.00014567551,0.00022455056,0.07809533,0.34407994,0.004776132,0.0020583577,0.5656106],"study_design_scores_gemma":[0.000013166443,0.000049926566,0.0034289772,0.000006631194,0.000015110985,0.000059942115,0.000024985517,0.9613931,0.03294708,0.00084393786,0.0011972187,0.000019946274],"about_ca_topic_score_codex":0.0016608522,"about_ca_topic_score_gemma":0.0012544565,"teacher_disagreement_score":0.0016608522,"about_ca_system_score_codex":0.0002162185,"about_ca_system_score_gemma":0.00029637612,"threshold_uncertainty_score":0.005132079},"labels":[],"label_agreement":null},{"id":"W3035986362","doi":"10.1007/s42461-020-00238-1","title":"Machine Learning and Deep Learning Methods in Mining Operations: a Data-Driven SAG Mill Energy Consumption Prediction Application","year":2020,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Workflow; Artificial intelligence; Energy consumption; Machine learning; Data mining; Perceptron; Artificial neural network; Support vector machine; Feature selection; Process (computing); Engineering","score_opus":0.06616590625322952,"score_gpt":0.3059664478371916,"score_spread":0.2398005415839621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035986362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84551847,0.00070117426,0.14391057,0.0015237359,0.000117196534,0.000072897,0.0017022074,0.002272745,0.0041809594],"genre_scores_gemma":[0.9469093,0.00020873494,0.048513703,0.00008425277,0.00003261625,0.000032580687,0.0011154338,0.0000809667,0.0030225087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981755,0.00003142341,0.000011476848,0.000046334524,0.000064185224,0.000029033587],"domain_scores_gemma":[0.9993316,0.0003386267,0.000045034332,0.000053831485,0.00019539257,0.000035577315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005222823,0.0007555586,0.00047363597,0.0006740797,0.00031996865,0.0006538059,0.0008238111,0.0008369221,0.001358786],"category_scores_gemma":[0.0015776694,0.00032746035,0.0004811752,0.0011705986,0.00021561734,0.0007382083,0.00049815135,0.0010375659,0.0003512979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058054616,0.0010150418,0.029193595,0.00011183273,0.000121676436,0.00034455297,0.000081752034,0.70032084,0.0064732092,0.0018926277,0.006145081,0.25371933],"study_design_scores_gemma":[0.0000063943567,0.0000196656,0.0011713468,0.0000021341546,0.0000042856377,0.000008420981,0.000013501579,0.9972057,0.0009132525,0.00043630518,0.00021589159,0.000003109168],"about_ca_topic_score_codex":0.019676464,"about_ca_topic_score_gemma":0.02735277,"teacher_disagreement_score":0.019676464,"about_ca_system_score_codex":0.00058414525,"about_ca_system_score_gemma":0.000947656,"threshold_uncertainty_score":0.039123893},"labels":[],"label_agreement":null},{"id":"W3036338662","doi":"10.2118/200656-ms","title":"Comparison of Two SEM-EDX Methods for the Analysis of Produced Water Scale Filter Papers","year":2020,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nalco (Canada)","funders":"","keywords":"Scale (ratio); Thresholding; Particulates; Sample (material); Computer science; Automation; Filter (signal processing); Process engineering; Biological system; Materials science; Pattern recognition (psychology); Artificial intelligence; Image (mathematics); Computer vision; Chemistry; Chromatography; Engineering; Physics","score_opus":0.06216954568601181,"score_gpt":0.3818488715751301,"score_spread":0.3196793258891183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036338662","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6897998,0.021007154,0.26604706,0.0008757855,0.0017803558,0.0008615625,0.002607124,0.0023402292,0.014680956],"genre_scores_gemma":[0.576309,0.010491468,0.3939074,0.00045390293,0.00017839218,0.000737439,0.0026296445,0.0006950316,0.014597639],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99586076,0.000530489,0.00035179374,0.00062948425,0.002469151,0.00015831216],"domain_scores_gemma":[0.9953963,0.0014691267,0.00038770156,0.0003665371,0.0022362042,0.00014413867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033879653,0.0009840952,0.0006479776,0.0024605703,0.0004925935,0.0015241832,0.0016159819,0.0012121733,0.0027637952],"category_scores_gemma":[0.005499418,0.0006793924,0.0006882564,0.0016976447,0.00050614116,0.0012639343,0.0008450671,0.00077552587,0.0013965766],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001844788,0.0003999165,0.008081687,0.0021407101,0.00034995622,0.00036053,0.00052458956,0.0011407271,0.862615,0.00082329847,0.001709432,0.12000942],"study_design_scores_gemma":[0.00006785779,0.0011973153,0.025162077,0.000083457126,0.00021968698,0.001106622,0.00037966762,0.0069519687,0.9540653,0.00035699512,0.010324004,0.00008491363],"about_ca_topic_score_codex":0.0008853522,"about_ca_topic_score_gemma":0.002469103,"teacher_disagreement_score":0.0033879653,"about_ca_system_score_codex":0.00057489984,"about_ca_system_score_gemma":0.0005060363,"threshold_uncertainty_score":0.017917514},"labels":[],"label_agreement":null},{"id":"W3037245879","doi":"10.1680/jgeot.18.p.300","title":"Evolution of particle morphology and mode of fracture during the oedometric compression of sand","year":2020,"lang":"en","type":"article","venue":"Géotechnique","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Comminution; Breakage; Materials science; Compression (physics); Fracture (geology); Cushioning; Particle (ecology); Grain size; Composite material; Microscale chemistry; Crusher; Shearing (physics); Particle size; Geotechnical engineering; Geology; Metallurgy; Mathematics","score_opus":0.008625995249615768,"score_gpt":0.22297417764170496,"score_spread":0.2143481823920892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037245879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993007,0.000025181216,0.00036884123,0.000004356776,6.7305757e-7,0.0000029782204,0.000058791018,0.000014014975,0.00022436774],"genre_scores_gemma":[0.9992488,0.000023255026,0.0003816298,0.0000024640576,3.9561147e-7,0.0000025370753,0.00008148997,0.0000035378325,0.00025585055],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999186,0.0000035357907,0.000003372453,0.000017292823,0.000035095276,0.000022260865],"domain_scores_gemma":[0.9998491,0.00003711318,0.000037634945,0.000013977591,0.000039801824,0.000022344735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000871525,0.0001292524,0.00012945702,0.00034087442,0.00021198075,0.00035430476,0.000212766,0.00019844419,0.00085282105],"category_scores_gemma":[0.00028309794,0.00015543656,0.000083779894,0.00027669818,0.000296013,0.00016530266,0.00017105209,0.00019767617,0.0000983872],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042654053,0.000029470559,0.025378866,0.000035315737,0.000015373564,0.00033828322,0.0002620635,0.0031485355,0.9625868,0.0001344633,0.0000553325,0.0075889397],"study_design_scores_gemma":[0.000009176709,0.00024423253,0.54126567,0.0000066000975,0.000017428689,0.0003431094,0.000462204,0.023495177,0.43326634,0.00007186596,0.00079370325,0.000024518853],"about_ca_topic_score_codex":0.010244786,"about_ca_topic_score_gemma":0.018093975,"teacher_disagreement_score":0.010244786,"about_ca_system_score_codex":0.00047778213,"about_ca_system_score_gemma":0.0002223199,"threshold_uncertainty_score":0.020370305},"labels":[],"label_agreement":null},{"id":"W3037599328","doi":"10.1007/s00603-020-02180-6","title":"A Numerical Based Approach to Calculate Ore Dilution Rates Using Rolling Resistance Model and Upside-Down Drop Shape Theory","year":2020,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Drop (telecommunication); Mechanics; Dilution; Range (aeronautics); Shape factor; Geotechnical engineering; Particle size; Materials science; Geology; Mathematics; Engineering; Geometry; Composite material; Physics; Mechanical engineering; Thermodynamics","score_opus":0.017605284278932563,"score_gpt":0.2083367455939851,"score_spread":0.19073146131505253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037599328","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014461281,0.00014965648,0.97096425,0.00009284056,0.0001001438,0.00011714497,0.000082801365,0.0006573084,0.013374536],"genre_scores_gemma":[0.5426799,0.00044281463,0.44004634,0.00014693016,0.000053473374,0.0003820291,0.0002590566,0.00030893405,0.015680417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997335,0.000025517511,0.000015287402,0.000032581753,0.00017695827,0.000016114163],"domain_scores_gemma":[0.99970835,0.00007252799,0.000028209253,0.000041522493,0.0001375699,0.000011805322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032585528,0.0004070654,0.00068860705,0.00067638507,0.00059588224,0.0008382266,0.0013899059,0.0010676511,0.0030567688],"category_scores_gemma":[0.0010377073,0.00034491747,0.000653662,0.0005798924,0.00040054464,0.00074002275,0.0004436268,0.0008184357,0.001003196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031511132,0.00011845688,0.0008952136,0.00018129288,0.000027627719,0.00016564337,0.000070839626,0.9004485,0.031614333,0.023827674,0.0010438821,0.04157503],"study_design_scores_gemma":[0.000003081504,0.000010881582,0.00007503868,0.0000040699756,0.0000032643345,0.000023736733,0.000004632534,0.99607986,0.0023844845,0.00059119164,0.0008155387,0.0000042364823],"about_ca_topic_score_codex":0.0049810545,"about_ca_topic_score_gemma":0.0055339313,"teacher_disagreement_score":0.0049810545,"about_ca_system_score_codex":0.00064497825,"about_ca_system_score_gemma":0.0010198681,"threshold_uncertainty_score":0.010225892},"labels":[],"label_agreement":null},{"id":"W3041115998","doi":"10.13031/aim.202000596","title":"&amp;lt;i&amp;gt;Swine Manure: A Geochemical Perspective&amp;lt;/i&amp;gt;","year":2020,"lang":"en","type":"article","venue":"2020 ASABE Annual International Virtual Meeting, July 13-15, 2020","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Bicarbonate; Ammonium; Ammonium bicarbonate; Inorganic chemistry; Nitrogen; Potassium; Sodium; Ammonium chloride; Environmental chemistry; Magnesium; Effluent; Sodium bicarbonate; Chloride; Nutrient; Manure; Environmental engineering; Agronomy; Environmental science; Organic chemistry","score_opus":0.017649747955553026,"score_gpt":0.26057041413302967,"score_spread":0.24292066617747665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041115998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94519633,0.001254891,0.016288012,0.001207856,0.00007268527,0.00011105526,0.0031496428,0.00031758237,0.032402005],"genre_scores_gemma":[0.9696379,0.0010858439,0.013487736,0.00022329044,0.000009435585,0.00002458699,0.00090226706,0.00003652657,0.014592436],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999201,0.000009927608,0.0000055263363,0.000015927593,0.00003033641,0.000018166495],"domain_scores_gemma":[0.99990094,0.000013618096,0.000009957265,0.0000050813883,0.000060725695,0.000009612206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020084018,0.00023930758,0.00013723236,0.0002858197,0.00051911455,0.00074582885,0.00032408375,0.00026185933,0.0034522633],"category_scores_gemma":[0.00011722533,0.00009361083,0.0001651429,0.00056479446,0.00047457055,0.00025605183,0.00018701974,0.00021306565,0.00069314684],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039665372,0.00012925235,0.06862031,0.00039801918,0.000040525443,0.00081573194,0.00029437992,0.012480752,0.82798004,0.0022426995,0.004331225,0.08227032],"study_design_scores_gemma":[0.000039274815,0.001027014,0.17880264,0.00011327776,0.00008683096,0.0006800475,0.0031343207,0.035515577,0.69491154,0.0016574161,0.083962314,0.00006987012],"about_ca_topic_score_codex":0.21230744,"about_ca_topic_score_gemma":0.49109742,"teacher_disagreement_score":0.21230744,"about_ca_system_score_codex":0.0024477397,"about_ca_system_score_gemma":0.0023470803,"threshold_uncertainty_score":0.4221434},"labels":[],"label_agreement":null},{"id":"W3046308371","doi":"10.11159/mmme20.135","title":"Liberation analysis of South African Middle group seam chromite ore processed with Vertical Shaft Impactor Crusher","year":2020,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Johannesburg","keywords":"Crusher; Chromite; Metallurgy; Geology; Mining engineering; Group (periodic table); Materials science; Chemistry","score_opus":0.010292930504748755,"score_gpt":0.1865348134843624,"score_spread":0.17624188297961366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046308371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972031,0.00043330857,0.0010454354,0.000024379313,0.0000055713635,0.000015467791,0.00019652753,0.000016677652,0.001059382],"genre_scores_gemma":[0.9942115,0.00055838743,0.0019901083,0.000033559638,0.0000037522823,0.000011549975,0.00030464758,0.000022256027,0.0028641438],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981445,0.000008481134,0.000008418569,0.000029112185,0.00011385268,0.000025749006],"domain_scores_gemma":[0.99987245,0.000022398168,0.0000340718,0.0000066789644,0.00005326542,0.000011059152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016168496,0.00019098372,0.00023742013,0.0006022181,0.0002807782,0.00031796712,0.00015061595,0.00030503032,0.0014957715],"category_scores_gemma":[0.00021954816,0.00014267,0.00033096576,0.00031716056,0.00020736622,0.0002340144,0.00019181152,0.00033299072,0.00019410801],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048598018,0.000033210334,0.009741216,0.0002148231,0.000022259206,0.00041541972,0.0002470169,0.00023444659,0.98090464,0.000050273098,0.000063648986,0.007587172],"study_design_scores_gemma":[0.0000123714735,0.0008901589,0.13195261,0.00003369535,0.00005781334,0.00061315,0.0006389386,0.0013794698,0.86128336,0.00007568537,0.0030419026,0.000020877033],"about_ca_topic_score_codex":0.0030781326,"about_ca_topic_score_gemma":0.008522912,"teacher_disagreement_score":0.0030781326,"about_ca_system_score_codex":0.00020570004,"about_ca_system_score_gemma":0.00018056403,"threshold_uncertainty_score":0.0061204433},"labels":[],"label_agreement":null},{"id":"W3046976263","doi":"10.1002/cjce.23856","title":"Modelling method of data‐driven model combined with a priori knowledge and its application in average particle size estimation of composite colloidal sols","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"A priori and a posteriori; Composite number; Particle size; Colloidal particle; Estimation; Particle (ecology); Materials science; Computer science; Colloid; Biological system; Composite material; Engineering; Chemical engineering; Geology; Systems engineering","score_opus":0.024048877667428487,"score_gpt":0.23842119445714957,"score_spread":0.21437231678972107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046976263","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010584979,0.00006787572,0.98864996,0.000039405546,0.000008480157,0.000016620686,0.000013166794,0.00013185825,0.00048759344],"genre_scores_gemma":[0.76982415,0.00024861578,0.22762208,0.00003853687,0.000021217254,0.00021970857,0.00009652313,0.0000670224,0.0018622362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960774,0.000113793765,0.00002381719,0.000089276866,0.00014195044,0.00002351319],"domain_scores_gemma":[0.9995472,0.00022694489,0.000052292435,0.000038021248,0.000121191006,0.000014322813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009872335,0.0006613655,0.00068296713,0.00065629586,0.0002990319,0.0006451246,0.00086874265,0.0010060469,0.00058458385],"category_scores_gemma":[0.001368398,0.00048253042,0.0009483959,0.00041707497,0.000456713,0.000836021,0.0006240172,0.00060927303,0.00014707667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003355488,0.000030429906,0.00055339054,0.00008137161,0.000036369573,0.00006989716,0.00005793115,0.9574471,0.01179291,0.0048250714,0.00011755052,0.024954325],"study_design_scores_gemma":[0.0000012989051,0.00000702152,0.000046605033,0.0000010778247,0.0000021843537,0.000005579065,0.0000015779848,0.998855,0.00072586956,0.00025238498,0.000097850345,0.0000035787798],"about_ca_topic_score_codex":0.0068145185,"about_ca_topic_score_gemma":0.0036340836,"teacher_disagreement_score":0.0068145185,"about_ca_system_score_codex":0.00056544866,"about_ca_system_score_gemma":0.00085625995,"threshold_uncertainty_score":0.0135496855},"labels":[],"label_agreement":null},{"id":"W3047914764","doi":"10.17159/2411-9717/880/2020","title":"In-truck ore grade estimation using apparent density measurements","year":2020,"lang":"en","type":"article","venue":"Journal of the Southern African Institute of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre For Cold Ocean Resources Engineering; Rio Tinto (Canada)","funders":"","keywords":"Truck; Estimation; Mining engineering; Automotive engineering; Geology; Environmental science; Engineering","score_opus":0.06152779659150135,"score_gpt":0.2476940304350057,"score_spread":0.18616623384350436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047914764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8311311,0.00023171584,0.15265559,0.000040725863,0.00006041736,0.0000869091,0.001640079,0.002132964,0.012020532],"genre_scores_gemma":[0.97861266,0.00007057506,0.017033895,0.000006275564,0.000008088102,0.000013100072,0.0008520982,0.0000462907,0.0033569671],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997478,0.000021055248,0.000014912762,0.000051771436,0.0001301046,0.0000343154],"domain_scores_gemma":[0.9996333,0.00004165851,0.000052770887,0.00003675769,0.00021677927,0.000018684503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017763466,0.00051819946,0.00037319245,0.0021795512,0.0002823981,0.0008048855,0.00053543516,0.0004192978,0.002219073],"category_scores_gemma":[0.00063212065,0.00027148545,0.00027715997,0.001175172,0.00011801739,0.0007521943,0.0005005384,0.00020252568,0.002224518],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006580094,0.0003773412,0.41909266,0.0002592765,0.000147005,0.00047510487,0.00024544506,0.046469778,0.09288569,0.000998904,0.003268677,0.43512204],"study_design_scores_gemma":[0.000029676366,0.0002773608,0.34729868,0.000044422017,0.000118517135,0.00035722,0.00044532618,0.5999362,0.043341532,0.0011007895,0.0069898106,0.000060457623],"about_ca_topic_score_codex":0.0063445643,"about_ca_topic_score_gemma":0.013983778,"teacher_disagreement_score":0.0063445643,"about_ca_system_score_codex":0.00023886602,"about_ca_system_score_gemma":0.00019971903,"threshold_uncertainty_score":0.012615263},"labels":[],"label_agreement":null},{"id":"W3048205750","doi":"10.1201/9781003078692-5","title":"Rock mass classification techniques used during the design and development of McArthur River project","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cameco (Canada)","funders":"","keywords":"Geology; Mining engineering","score_opus":0.055556677932417885,"score_gpt":0.23218553006807052,"score_spread":0.17662885213565263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048205750","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09074361,0.007129143,0.5102935,0.0013404464,0.00046840485,0.0006043819,0.00056468253,0.0013377168,0.38751805],"genre_scores_gemma":[0.16734813,0.007942603,0.5010852,0.0001910466,0.00007419533,0.0002868593,0.00069481885,0.0004332591,0.32194382],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935013,0.00009088352,0.000033349,0.00010825673,0.0003907866,0.000026616806],"domain_scores_gemma":[0.9996321,0.0001447791,0.000046220546,0.000030259089,0.00013616105,0.000010434071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005631179,0.00049706234,0.00017769888,0.0016310783,0.00058589026,0.0011972522,0.0006299537,0.00040992367,0.0043433383],"category_scores_gemma":[0.000888907,0.0002913584,0.0001404686,0.0016382555,0.0005125092,0.00076390425,0.00036149874,0.0005993453,0.0015827889],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035809564,0.000035666042,0.0015359726,0.00033723837,0.0000037749228,0.0006490594,0.0044251326,0.0055044494,0.032852545,0.020223673,0.013607886,0.9207887],"study_design_scores_gemma":[0.0000070849765,0.00020012987,0.0114727095,0.000467571,0.000015303125,0.002640289,0.002624804,0.014107113,0.04681408,0.0058890455,0.91570425,0.000057642243],"about_ca_topic_score_codex":0.0052471603,"about_ca_topic_score_gemma":0.022205256,"teacher_disagreement_score":0.9947528,"about_ca_system_score_codex":0.0007548687,"about_ca_system_score_gemma":0.00073326775,"threshold_uncertainty_score":0.014529884},"labels":[],"label_agreement":null},{"id":"W3055409566","doi":"10.3390/min10090734","title":"An LSTM Approach for SAG Mill Operational Relative-Hardness Prediction","year":2020,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Comisión Nacional de Investigación Científica y Tecnológica; Natural Sciences and Engineering Research Council of Canada","keywords":"Categorical variable; Mill; Comminution; Grinding; Computer science; Block (permutation group theory); Sample (material); Artificial neural network; Data mining; Artificial intelligence; Environmental science; Mining engineering; Machine learning; Geology; Engineering; Mathematics; Materials science; Mechanical engineering; Metallurgy","score_opus":0.037539495066146844,"score_gpt":0.24725028939784097,"score_spread":0.20971079433169412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3055409566","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2644031,0.0030716194,0.70857877,0.0013069566,0.00068935973,0.00008950144,0.0036715623,0.011168566,0.007020514],"genre_scores_gemma":[0.92819864,0.0005104829,0.06082818,0.00029764138,0.00014628412,0.00008787235,0.003054138,0.00013111522,0.006745685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998746,0.000013529892,0.000007719237,0.00004874402,0.000023193576,0.00003217589],"domain_scores_gemma":[0.9998171,0.00006244534,0.000020686331,0.000017895922,0.00006874105,0.00001306446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026909943,0.0009892088,0.00046291546,0.0005649159,0.00022511694,0.00054043793,0.0009690912,0.0009040087,0.0023545027],"category_scores_gemma":[0.0007049573,0.00032032057,0.0004951745,0.00074195827,0.0001992878,0.00081612973,0.0005175481,0.0013389119,0.00092377764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035220984,0.00029214958,0.003979605,0.00015393029,0.00015467107,0.00025804705,0.00010248904,0.49865887,0.023926932,0.0015910962,0.011643451,0.45888656],"study_design_scores_gemma":[0.0000033238068,0.000022254659,0.00048891205,0.000006676729,0.000009531838,0.000011324058,0.0000112496145,0.9964826,0.0015928991,0.0009363492,0.0004301281,0.000004734004],"about_ca_topic_score_codex":0.009560365,"about_ca_topic_score_gemma":0.012296545,"teacher_disagreement_score":0.009560365,"about_ca_system_score_codex":0.00055554265,"about_ca_system_score_gemma":0.0006664765,"threshold_uncertainty_score":0.019009471},"labels":[],"label_agreement":null},{"id":"W3080158508","doi":"10.14288/1.0392971","title":"Exploring high pressure slurry ablation as a mineral processing technology","year":2021,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Slurry; Mineral processing; Mineral; Environmental science; Geology; Metallurgy; Materials science; Environmental engineering","score_opus":0.015221514238171105,"score_gpt":0.16947481137298895,"score_spread":0.15425329713481784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080158508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9343995,0.0042764177,0.05343193,0.00034924527,0.00006226484,0.00013630469,0.00008817663,0.0002754121,0.006980753],"genre_scores_gemma":[0.975195,0.0019812568,0.020773338,0.000082830826,0.000021706168,0.00004204136,0.00007164392,0.000023151797,0.0018090319],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99962723,0.000052281066,0.000014670273,0.00005754615,0.00020048319,0.000047800793],"domain_scores_gemma":[0.99986434,0.000047148154,0.00002976973,0.000013941646,0.000035143312,0.000009596621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036692157,0.0002199039,0.00026117562,0.00032126467,0.00019520936,0.0007198286,0.00044771857,0.00049878325,0.00074239925],"category_scores_gemma":[0.00032668206,0.00017486201,0.0004492947,0.00029111683,0.00033095505,0.0007058904,0.0003638354,0.0006041629,0.00039525947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052187635,0.00007018703,0.00039797125,0.00015695271,0.0000099400095,0.00008055261,0.00003552824,0.0004731103,0.9875049,0.00035278546,0.000056338056,0.010809724],"study_design_scores_gemma":[0.000015396865,0.0010035776,0.0022085425,0.0000096337235,0.000026231819,0.0002418012,0.00005216691,0.0055748066,0.9872427,0.00016765078,0.0034475503,0.000009946017],"about_ca_topic_score_codex":0.00044463208,"about_ca_topic_score_gemma":0.00073591154,"teacher_disagreement_score":0.00074239925,"about_ca_system_score_codex":0.0002767776,"about_ca_system_score_gemma":0.00025259366,"threshold_uncertainty_score":0.0024836063},"labels":[],"label_agreement":null},{"id":"W3084483561","doi":"10.1021/acscentsci.0c00460","title":"Computer Vision for Recognition of Materials and Vessels in Chemistry Lab Settings and the Vector-LabPics Data Set","year":2020,"lang":"en","type":"article","venue":"ACS Central Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; Vector Institute; University of Toronto","funders":"Defense Advanced Research Projects Agency","keywords":"Artificial intelligence; Computer science; Set (abstract data type); Convolutional neural network; Task (project management); Data set; Segmentation; Support vector machine; Pattern recognition (psychology); Machine learning; Computer vision; Engineering","score_opus":0.027681112285979713,"score_gpt":0.25362422685817276,"score_spread":0.22594311457219304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084483561","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33545786,0.0046428894,0.082047805,0.0022706646,0.0014349872,0.0029043653,0.4969668,0.039422024,0.03485252],"genre_scores_gemma":[0.18758416,0.0007930309,0.07701719,0.00038159257,0.00011276203,0.0012249242,0.72509754,0.00056392234,0.0072248513],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99841607,0.00022600206,0.00013396094,0.00044387308,0.0005340948,0.0002459472],"domain_scores_gemma":[0.99850744,0.00026443042,0.000120079625,0.0005042516,0.00044150883,0.0001622887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013879436,0.0023942923,0.0009615417,0.002691348,0.0006448283,0.0012329133,0.0026254961,0.001959814,0.0067595597],"category_scores_gemma":[0.0025012041,0.00054580986,0.0016368538,0.002816166,0.00085312367,0.0019074796,0.001505203,0.002293455,0.0074355905],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023721328,0.003947244,0.01768372,0.0024173532,0.000428444,0.00104932,0.00023537679,0.057359792,0.039121974,0.004553676,0.4185934,0.45223743],"study_design_scores_gemma":[0.0006415732,0.001727878,0.09714902,0.00029020745,0.00018993104,0.0019002751,0.0007591781,0.45305955,0.10653389,0.008389899,0.32899582,0.0003627728],"about_ca_topic_score_codex":0.01652025,"about_ca_topic_score_gemma":0.018939914,"teacher_disagreement_score":0.01652025,"about_ca_system_score_codex":0.0016651041,"about_ca_system_score_gemma":0.0014261378,"threshold_uncertainty_score":0.03284818},"labels":[],"label_agreement":null},{"id":"W3087926170","doi":"10.1080/19236026.2020.1791613","title":"An undergraduate hydrometallurgy laboratory emphasizing engineering design","year":2020,"lang":"en","type":"article","venue":"CIM Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Hydrometallurgy; Accreditation; Electrowinning; Engineering; Process (computing); Blanket; Engineering design process; Manufacturing engineering; Engineering management; Computer science; Mechanical engineering; Chemistry; Chemical engineering; Materials science; Medical education","score_opus":0.020654246994506225,"score_gpt":0.21550776017485396,"score_spread":0.19485351318034774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087926170","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5110647,0.001676941,0.27754426,0.009374685,0.0016537986,0.0069428203,0.0011871994,0.008179752,0.18237588],"genre_scores_gemma":[0.4343865,0.0014079161,0.40942886,0.0026073577,0.00038928993,0.0017626178,0.00092099205,0.0004429313,0.1486535],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99892175,0.00016832328,0.000050736897,0.00022884172,0.0004764252,0.00015390117],"domain_scores_gemma":[0.9964477,0.00026447672,0.00012145509,0.00038807775,0.0011556651,0.0016226151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018803389,0.0010838603,0.0005568699,0.00069239055,0.0022491768,0.0019275527,0.002039709,0.00078554836,0.020391382],"category_scores_gemma":[0.0022204362,0.0005395017,0.00045135713,0.00035710525,0.0010129609,0.000911871,0.0023709093,0.002158113,0.005260216],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011086076,0.01969425,0.0093021,0.0007719332,0.000035776266,0.0011167871,0.004578696,0.004573049,0.3504266,0.023283446,0.06366181,0.52144694],"study_design_scores_gemma":[0.0005942707,0.023926105,0.018110827,0.0007562358,0.00010004476,0.0028036113,0.0041029756,0.027775299,0.26122117,0.024512164,0.6358566,0.0002406286],"about_ca_topic_score_codex":0.0015208393,"about_ca_topic_score_gemma":0.0046748705,"teacher_disagreement_score":0.020391382,"about_ca_system_score_codex":0.0017953902,"about_ca_system_score_gemma":0.0065005417,"threshold_uncertainty_score":0.068215966},"labels":[],"label_agreement":null},{"id":"W3092492428","doi":"10.29223/prod.tec.itv.mi.2020.24.vargas","title":"A SAG Mill Simulation Platform Enabling Reinforcement Learning Control Evaluation by ITV and AI Center Canada","year":2020,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Center (category theory); Mill; Reinforcement learning; Reinforcement; Computer science; Control (management); Engineering; Artificial intelligence; Mechanical engineering; Chemistry","score_opus":0.026898513311924877,"score_gpt":0.2682584628593839,"score_spread":0.24135994954745899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092492428","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09055233,0.0003203836,0.6786301,0.0015456687,0.0007272591,0.0008518432,0.009869066,0.07526149,0.14224194],"genre_scores_gemma":[0.6213726,0.00034096965,0.29009748,0.00021246732,0.000041354844,0.00064720586,0.011950122,0.0040114517,0.0713264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993431,0.0000908076,0.00001817654,0.000075094635,0.00037370593,0.0000989903],"domain_scores_gemma":[0.9982659,0.0002797944,0.000030500481,0.00016852908,0.0010863756,0.00016892623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010243581,0.000760109,0.0006547668,0.00053924957,0.0007342012,0.0010167123,0.0016245733,0.00072178425,0.031928584],"category_scores_gemma":[0.0019487304,0.00046800944,0.00038386864,0.0005443925,0.00064419926,0.0007083346,0.00089695514,0.0011172928,0.004643137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009361331,0.00033818014,0.003222772,0.00014668827,0.000079983285,0.0001925726,0.00018362336,0.7275142,0.024499556,0.011706185,0.095222704,0.13595739],"study_design_scores_gemma":[0.00008524896,0.000044074535,0.0003238583,0.000008141012,0.000008491875,0.000010706252,0.000027528373,0.970425,0.0056515355,0.001031212,0.022368297,0.000015754202],"about_ca_topic_score_codex":0.29116154,"about_ca_topic_score_gemma":0.2681768,"teacher_disagreement_score":0.29116154,"about_ca_system_score_codex":0.0025623036,"about_ca_system_score_gemma":0.008549071,"threshold_uncertainty_score":0.5789336},"labels":[],"label_agreement":null},{"id":"W3095100757","doi":"10.1130/abs/2020am-359454","title":"APPLYING MACHINE LEARNING METHODS TO PREDICT GEOLOGY USING SOIL SAMPLE GEOCHEMISTRY","year":2020,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Geology; Sample (material); Geochemistry; Chemistry","score_opus":0.03466357371897337,"score_gpt":0.28588582436260596,"score_spread":0.25122225064363257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095100757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5037785,0.0007088054,0.48705688,0.00039093345,0.00015754663,0.00014638553,0.0021401497,0.0028647247,0.002756059],"genre_scores_gemma":[0.87448543,0.00023093117,0.12228655,0.000058121204,0.00006455778,0.000090628724,0.0013501425,0.000069016685,0.0013646506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997601,0.00006454996,0.000022151333,0.000080338556,0.00005446393,0.000018421388],"domain_scores_gemma":[0.9983381,0.0011441936,0.000132255,0.0000959704,0.00025104292,0.00003846484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011396789,0.00065191346,0.00055861915,0.0016878261,0.00030050258,0.00077319186,0.0005400021,0.0006545472,0.0010007041],"category_scores_gemma":[0.003457205,0.0002936997,0.00065437815,0.0013055109,0.00022082038,0.0005853851,0.00031362093,0.000679418,0.000644428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022657677,0.0003917291,0.07542702,0.00015116717,0.00024089614,0.0000775001,0.00004932186,0.62633675,0.007896975,0.00056161615,0.002038073,0.28660247],"study_design_scores_gemma":[0.000008529505,0.000022621458,0.0034672627,0.000004851209,0.000011141826,0.000008140379,0.000008228821,0.9937576,0.0017855865,0.00071515876,0.00020520265,0.000005606471],"about_ca_topic_score_codex":0.008055805,"about_ca_topic_score_gemma":0.01146442,"teacher_disagreement_score":0.008055805,"about_ca_system_score_codex":0.0006061381,"about_ca_system_score_gemma":0.0007001444,"threshold_uncertainty_score":0.016017854},"labels":[],"label_agreement":null},{"id":"W3096540928","doi":"","title":"Ore pass design and performance at Inco's Sudbury operations","year":2004,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology","score_opus":0.01446502611596032,"score_gpt":0.20615282473889257,"score_spread":0.19168779862293225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096540928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97918105,0.00006347936,0.004654246,0.000089449335,0.000016564965,0.00006887729,0.00034444788,0.0005359442,0.015045878],"genre_scores_gemma":[0.9317641,0.000098304605,0.010601095,0.000030312209,0.0000064916812,0.000044452925,0.0008239559,0.00026052588,0.056370784],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988034,0.00006624137,0.00003117027,0.000114877366,0.0007107818,0.00027352036],"domain_scores_gemma":[0.9990889,0.00008833574,0.000060632014,0.00006879293,0.00052803673,0.00016525433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012466107,0.00036950648,0.0006843334,0.00060864503,0.0034517236,0.0023275842,0.00096525735,0.0008956962,0.0061122137],"category_scores_gemma":[0.0011830493,0.00056860456,0.00034287677,0.00060234405,0.0007346439,0.0008413815,0.0006206559,0.00066189835,0.0015474395],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008811299,0.0016894144,0.08653222,0.00036125662,0.00013128182,0.0015465422,0.0044995514,0.16439839,0.5066147,0.005990674,0.0205663,0.19885838],"study_design_scores_gemma":[0.00032972373,0.0085448455,0.29305223,0.000061552426,0.00024147719,0.0006933246,0.005345754,0.13376796,0.48905274,0.0013420467,0.067269936,0.00029851316],"about_ca_topic_score_codex":0.16202891,"about_ca_topic_score_gemma":0.383914,"teacher_disagreement_score":0.16202891,"about_ca_system_score_codex":0.004427184,"about_ca_system_score_gemma":0.0056933444,"threshold_uncertainty_score":0.32217157},"labels":[],"label_agreement":null},{"id":"W3096658316","doi":"10.36487/acg_repo/2035_01","title":"Can new technologies shake the empirical foundations of rock engineering?","year":2020,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute","keywords":"Judgement; Process (computing); Computer science; Field (mathematics); sort; Industrial engineering; Data science; Engineering; Database","score_opus":0.06997242109093314,"score_gpt":0.2620197177981366,"score_spread":0.19204729670720344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096658316","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014586646,0.13730875,0.21641277,0.5444523,0.00818691,0.0001505437,0.00101967,0.00079320336,0.077089086],"genre_scores_gemma":[0.28784534,0.26660982,0.3147454,0.07384757,0.026528897,0.0008508825,0.0017250635,0.0009815309,0.02686551],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9858155,0.007786355,0.0005572739,0.0015026307,0.0038345244,0.0005036469],"domain_scores_gemma":[0.8863529,0.08543112,0.0031268082,0.015128024,0.00790276,0.0020583393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.035134062,0.0013905732,0.0018297937,0.006347797,0.0016510315,0.012197247,0.0038126283,0.004508791,0.013951],"category_scores_gemma":[0.080075905,0.00089861976,0.0017094722,0.005110298,0.031761445,0.04137441,0.007398226,0.01063303,0.005068518],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009661522,0.000092817856,0.0040819943,0.0011992335,0.000096641306,0.00017423475,0.0015753399,0.0021369555,0.0004828161,0.7911214,0.022613939,0.17632808],"study_design_scores_gemma":[0.000019036986,0.000055405784,0.0015672075,0.00115528,0.000019683737,0.00013372526,0.001356479,0.0019762362,0.00033650186,0.7864589,0.20685361,0.00006795869],"about_ca_topic_score_codex":0.004277975,"about_ca_topic_score_gemma":0.0043129246,"teacher_disagreement_score":0.035134062,"about_ca_system_score_codex":0.0043775938,"about_ca_system_score_gemma":0.0054685664,"threshold_uncertainty_score":0.1858089},"labels":[],"label_agreement":null},{"id":"W3098918748","doi":"10.1016/j.talanta.2020.121885","title":"Non-invasive detection technologies of solid foreign matter and their applications to lyophilized pharmaceutical products: A review","year":2020,"lang":"en","type":"review","venue":"Talanta","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pfizer (Canada); Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Biochemical engineering; Nanotechnology; Process engineering; Food and drug administration; Pharmaceutical industry; Freeze-drying; Risk analysis (engineering); Chromatography; Business; Biotechnology; Engineering","score_opus":0.04021118087269905,"score_gpt":0.31809231994395776,"score_spread":0.2778811390712587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098918748","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005633253,0.99692047,0.0010651521,0.000120268276,0.0001457402,0.0000094845755,0.00002653306,0.000014658873,0.0011344277],"genre_scores_gemma":[0.0020206561,0.99578744,0.00090765656,0.00011122304,0.00010172098,0.000011184385,0.000036107664,0.0000027051578,0.0010213108],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997044,0.000027582706,0.000026371536,0.000056553195,0.0001567081,0.000028406457],"domain_scores_gemma":[0.9995808,0.00023024001,0.00008284175,0.000013205712,0.00007486227,0.000018064497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007114412,0.0011700467,0.0011881131,0.0022884554,0.00022898933,0.00090482435,0.0009232448,0.0010931637,0.0026214486],"category_scores_gemma":[0.0006667106,0.00042023798,0.0007011857,0.0019371335,0.00053909613,0.0014116901,0.0006645179,0.0011391704,0.0014769462],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008932599,0.00015526729,0.00018005345,0.024910279,0.00012126516,0.00025654578,0.00006796367,0.00067380554,0.027435908,0.0038877325,0.009668088,0.9325537],"study_design_scores_gemma":[0.000020903912,0.0004513714,0.0013537637,0.00267237,0.00029412392,0.0017776934,0.00010831447,0.0006334062,0.024645396,0.002359681,0.9656051,0.00007795865],"about_ca_topic_score_codex":0.000778413,"about_ca_topic_score_gemma":0.0013077903,"teacher_disagreement_score":0.0026214486,"about_ca_system_score_codex":0.0003628036,"about_ca_system_score_gemma":0.0007616513,"threshold_uncertainty_score":0.008769572},"labels":[],"label_agreement":null},{"id":"W3105890081","doi":"","title":"Data Processing for Joint Normal and Shear Stiffness to Eliminate Influences of the Surrounding Rock and Laboratory Machine","year":2020,"lang":"en","type":"article","venue":"54th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Joint (building); Shear (geology); Geology; Stiffness; Geotechnical engineering; Structural engineering; Engineering; Paleontology","score_opus":0.026822322699190063,"score_gpt":0.23793158407314896,"score_spread":0.2111092613739589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105890081","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12760873,0.0005181794,0.56855905,0.000600096,0.002063328,0.0034789238,0.13718387,0.12744212,0.032545716],"genre_scores_gemma":[0.29949874,0.0004985399,0.47919986,0.0006535767,0.0004255083,0.008391919,0.15042138,0.01556523,0.04534526],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984053,0.00007740221,0.00022590265,0.00045424653,0.0006510344,0.00018620759],"domain_scores_gemma":[0.99346477,0.0007442626,0.00028577814,0.0013703686,0.003993372,0.00014149256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011983453,0.0023137024,0.0012697375,0.0042313426,0.0014124808,0.0013788661,0.00130427,0.0007509102,0.043272052],"category_scores_gemma":[0.006879688,0.000683195,0.001002394,0.0032045252,0.00041025344,0.001082854,0.0010691228,0.0012182315,0.020700602],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025645336,0.0008560467,0.025012175,0.0017481114,0.00021358635,0.00068554765,0.00090644695,0.007115185,0.19316104,0.0036104796,0.14845635,0.6156705],"study_design_scores_gemma":[0.0003581153,0.0012094787,0.111914344,0.00035677393,0.00030144656,0.00078384904,0.0006632062,0.094557196,0.48097566,0.005120774,0.30319446,0.0005647038],"about_ca_topic_score_codex":0.0068342527,"about_ca_topic_score_gemma":0.010301589,"teacher_disagreement_score":0.043272052,"about_ca_system_score_codex":0.0005428091,"about_ca_system_score_gemma":0.0026639907,"threshold_uncertainty_score":0.14475942},"labels":[],"label_agreement":null},{"id":"W3107099202","doi":"10.1007/s00603-020-02295-w","title":"A Bayesian Approach for Uncertainty Quantification in Overcoring Stress Estimation","year":2020,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stress (linguistics); Reliability (semiconductor); Bayesian probability; Probabilistic logic; Uncertainty quantification; Borehole; Estimation; Computer science; Statistics; Geology; Geotechnical engineering; Mathematics; Engineering","score_opus":0.016596853234536902,"score_gpt":0.2134433858962558,"score_spread":0.1968465326617189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107099202","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009602378,0.00014113814,0.99843997,0.00007441729,0.000010884172,0.000008703726,0.000024227913,0.00003724654,0.00030318717],"genre_scores_gemma":[0.21860869,0.001238233,0.77359027,0.00036779957,0.00041280748,0.00026715867,0.0004997425,0.00028333458,0.0047318777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966666,0.0014557661,0.00021687843,0.0005622893,0.0009115887,0.00018682613],"domain_scores_gemma":[0.9843466,0.0125028705,0.0006736484,0.0006672109,0.0015600355,0.00024951022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072765048,0.0012802107,0.0024926814,0.002426337,0.0010878837,0.0027588161,0.0031588748,0.0024517984,0.0027551216],"category_scores_gemma":[0.027129624,0.0018803207,0.0019697824,0.0021827768,0.0023046625,0.003645249,0.0034234896,0.0032625657,0.00049333076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007469608,0.00006484913,0.0006830546,0.00017914745,0.00017599249,0.00008845569,0.00014921284,0.7900872,0.0015635664,0.12381764,0.0014048222,0.08171136],"study_design_scores_gemma":[0.000005991985,0.000015275453,0.00015791951,0.000025952944,0.000020207663,0.000020094663,0.00000795364,0.9391458,0.00029710212,0.059573263,0.0007093723,0.00002102794],"about_ca_topic_score_codex":0.012545782,"about_ca_topic_score_gemma":0.012777315,"teacher_disagreement_score":0.012545782,"about_ca_system_score_codex":0.0016932043,"about_ca_system_score_gemma":0.0024371732,"threshold_uncertainty_score":0.03848231},"labels":[],"label_agreement":null},{"id":"W3108321582","doi":"10.3390/jcs4040178","title":"Automated Identification of Defect Morphology and Spatial Distribution in Woven Composites","year":2020,"lang":"en","type":"article","venue":"Journal of Composites Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Composite material; Microstructure; Thermoplastic composites; Thermoplastic; Morphology (biology); Fiber; Fiber-reinforced composite; Reinforcement","score_opus":0.010588289835873855,"score_gpt":0.2431871761790035,"score_spread":0.23259888634312967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108321582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90670145,0.00019886447,0.09098725,0.00002177694,0.0000054258394,0.000031668038,0.0002191604,0.0012453471,0.0005891036],"genre_scores_gemma":[0.92928916,0.00012154915,0.06971891,0.000008520233,0.0000043209543,0.000021212796,0.0003233222,0.000052483952,0.00046050307],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999881,0.000014041206,0.000006846898,0.000042526593,0.000038593313,0.000016986281],"domain_scores_gemma":[0.99951553,0.00013013282,0.00012562319,0.000070643364,0.00013304933,0.000025071666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018306855,0.00018490989,0.00021032563,0.0015667157,0.00011238885,0.0002904401,0.0002256034,0.00025711968,0.0003324388],"category_scores_gemma":[0.00041133215,0.00018098409,0.00012549873,0.00037056,0.00022492962,0.0002105929,0.00019435986,0.00016461905,0.00013777374],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028145954,0.000048160913,0.016302882,0.00009863128,0.0000184559,0.00014528919,0.00012904493,0.0072916923,0.8756853,0.00023580852,0.00016673238,0.09959647],"study_design_scores_gemma":[0.000012501998,0.0001721539,0.1546188,0.000016180176,0.00002760321,0.0009826397,0.00016093328,0.27820188,0.5641419,0.0005824558,0.0010390677,0.000043943917],"about_ca_topic_score_codex":0.00090795103,"about_ca_topic_score_gemma":0.0016827487,"teacher_disagreement_score":0.0015667157,"about_ca_system_score_codex":0.00013525678,"about_ca_system_score_gemma":0.00013352501,"threshold_uncertainty_score":0.0018053651},"labels":[],"label_agreement":null},{"id":"W3108673054","doi":"","title":"Convolutional Neural Networks for Predicting Tunnel Support and Liner Performance: Cigar Lake Mine Case Study","year":2020,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Convolutional neural network; Mining engineering; Environmental science; Computer science; Geology; Artificial intelligence; Engineering; Civil engineering","score_opus":0.025653755303703174,"score_gpt":0.23611071458251498,"score_spread":0.2104569592788118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108673054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99239165,0.00012942645,0.004959386,0.00015502612,0.000008900249,0.000011715346,0.0006351641,0.00028345193,0.0014254544],"genre_scores_gemma":[0.9936367,0.00005982046,0.0035998065,0.000014240199,0.0000072848716,0.0000068609447,0.00093316863,0.000018126106,0.0017239626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985635,0.00002542864,0.00000626207,0.0000309477,0.000039980532,0.000041011437],"domain_scores_gemma":[0.9994355,0.0002827978,0.00004614927,0.000053001404,0.00015509539,0.000027482189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005157794,0.0006611481,0.0003506239,0.0007119095,0.00031590427,0.00045831877,0.00076957967,0.00094317837,0.0012042421],"category_scores_gemma":[0.0012657281,0.00026045772,0.0003355364,0.0007466296,0.0002597455,0.0005053778,0.0002980562,0.000507631,0.00029525958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043755298,0.00043177456,0.0505938,0.000057561596,0.00010474056,0.00069052476,0.000055700442,0.8838499,0.004466455,0.0006643515,0.004374051,0.054273594],"study_design_scores_gemma":[0.0000074639443,0.00003152737,0.006247625,0.0000023167468,0.000009828129,0.000019092267,0.000019819541,0.9922597,0.0010893927,0.00014692613,0.00016145608,0.0000049416253],"about_ca_topic_score_codex":0.074960224,"about_ca_topic_score_gemma":0.114931606,"teacher_disagreement_score":0.92503977,"about_ca_system_score_codex":0.0010762869,"about_ca_system_score_gemma":0.0004900007,"threshold_uncertainty_score":0.14904785},"labels":[],"label_agreement":null},{"id":"W3109456829","doi":"10.1088/1742-6596/1676/1/012203","title":"State Recognition of Mill Load Based on Improved K-means Clustering Algorithm","year":2020,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; École de Technologie Supérieure","funders":"","keywords":"Cluster analysis; Ball mill; Mill; Principal component analysis; Computer science; Identification (biology); Pattern recognition (psychology); Dimension (graph theory); Algorithm; Stability (learning theory); Dimensionality reduction; Artificial intelligence; Data mining; Mathematics; Engineering; Machine learning","score_opus":0.02829787238279227,"score_gpt":0.2221861944537294,"score_spread":0.19388832207093712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109456829","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043215323,0.00017030792,0.95393896,0.000068151465,0.000044447137,0.000041902334,0.000055898054,0.0009899769,0.0014749783],"genre_scores_gemma":[0.74251664,0.00021211433,0.253195,0.000057181445,0.000044949742,0.000115269584,0.0002674712,0.00010751194,0.003483824],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925834,0.00007400539,0.00005313776,0.00023242689,0.00031198526,0.00007007606],"domain_scores_gemma":[0.99948263,0.000092244685,0.00006868334,0.00006439127,0.0002752597,0.000016864755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044012227,0.00063445827,0.0007562588,0.0013174941,0.00049841753,0.00080371095,0.0010671436,0.00074566336,0.0012359504],"category_scores_gemma":[0.0012293286,0.00029145036,0.0006494521,0.0008767333,0.0004665402,0.0011173716,0.0005649759,0.00058076275,0.0006540415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039493022,0.00012676301,0.0054094065,0.00018444633,0.0001499794,0.00013640134,0.00032542227,0.3457544,0.058578506,0.005610562,0.0034730982,0.5798562],"study_design_scores_gemma":[0.000006142411,0.000016899907,0.0012396551,0.000004210042,0.000009814552,0.000025834512,0.000024760717,0.9914089,0.0058938195,0.00086221873,0.0004894179,0.00001840327],"about_ca_topic_score_codex":0.005612152,"about_ca_topic_score_gemma":0.0042891833,"teacher_disagreement_score":0.005612152,"about_ca_system_score_codex":0.00061901775,"about_ca_system_score_gemma":0.00063669437,"threshold_uncertainty_score":0.011159003},"labels":[],"label_agreement":null},{"id":"W3111320922","doi":"10.1016/j.apenergy.2020.116049","title":"Adaptive prognostics in a controlled energy conversion process based on long- and short-term predictors","year":2020,"lang":"en","type":"article","venue":"Applied Energy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Natural Resources Canada","funders":"European Regional Development Fund","keywords":"Prognostics; Inefficiency; Engineering; Fouling; Predictive maintenance; Term (time); Preventive maintenance; Heat exchanger; Reliability engineering; Production (economics); Process engineering; Mechanical engineering","score_opus":0.009980995990060325,"score_gpt":0.1940163418994283,"score_spread":0.18403534590936796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111320922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5512419,0.0005791099,0.44312695,0.00072851224,0.00039478138,0.000036316454,0.0000980076,0.0005592685,0.0032352163],"genre_scores_gemma":[0.99705565,0.000047813748,0.0022560451,0.000014120768,0.00001309165,0.0000089396135,0.000015008448,0.000005165136,0.00058423507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998447,0.000031518473,0.000010505411,0.00004794859,0.00003973535,0.000025688809],"domain_scores_gemma":[0.9991879,0.00046466786,0.00012088973,0.00003972724,0.00014446504,0.00004231093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000543487,0.00043221086,0.00052158954,0.00020454141,0.00038163483,0.00089111394,0.00049635617,0.0006418414,0.00076585985],"category_scores_gemma":[0.001837577,0.00027001151,0.00024083728,0.00022956754,0.000691023,0.0007230892,0.0005434448,0.0008479163,0.000082356775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063086546,0.00013231972,0.002960063,0.000056341898,0.000050283863,0.00015715274,0.00007977484,0.95736134,0.010425078,0.00542418,0.00046878614,0.022253923],"study_design_scores_gemma":[0.000009590996,0.000025650148,0.00036496166,0.000001191595,0.0000043051405,0.000003469977,0.0000029332034,0.9985885,0.0005524343,0.0004085954,0.00003426139,0.000004004697],"about_ca_topic_score_codex":0.005460831,"about_ca_topic_score_gemma":0.0042121606,"teacher_disagreement_score":0.005460831,"about_ca_system_score_codex":0.00039176902,"about_ca_system_score_gemma":0.0006662069,"threshold_uncertainty_score":0.010858059},"labels":[],"label_agreement":null},{"id":"W3115419978","doi":"10.1201/9780203747124-11","title":"Open stope cavity monitoring for the control of dilution and ore loss","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dilution; Mining engineering; Geology; Petroleum engineering; Thermodynamics","score_opus":0.030061592217930897,"score_gpt":0.25945036370931696,"score_spread":0.22938877149138606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115419978","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22460985,0.0103118075,0.69660497,0.00043841545,0.00060821883,0.00036694758,0.000989732,0.0048217885,0.061248403],"genre_scores_gemma":[0.5967327,0.0026500814,0.29295397,0.00028862775,0.00014837035,0.00020005553,0.0007141337,0.000507064,0.105805054],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993316,0.000053556814,0.000011670632,0.00014109668,0.0004289318,0.000033134205],"domain_scores_gemma":[0.9996444,0.0001295191,0.00003346907,0.00004801462,0.00012599479,0.000018597635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003537052,0.00041273338,0.00046703077,0.00049779325,0.00025959843,0.0008207639,0.00086528243,0.00074546825,0.0033390897],"category_scores_gemma":[0.00046645748,0.00023087757,0.00023941917,0.0004104103,0.00030461908,0.0006749539,0.0007384145,0.00051687617,0.001349573],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002563517,0.000081769984,0.00213532,0.00020767203,0.000013108012,0.00018136688,0.00024743314,0.001749552,0.7301671,0.0024115902,0.00385551,0.25869325],"study_design_scores_gemma":[0.00004840066,0.0008407983,0.024099467,0.00013136666,0.000065808315,0.0025046638,0.00027545472,0.062441546,0.7536671,0.002764773,0.1530072,0.00015344616],"about_ca_topic_score_codex":0.0005388324,"about_ca_topic_score_gemma":0.0017044725,"teacher_disagreement_score":0.0033390897,"about_ca_system_score_codex":0.00026355372,"about_ca_system_score_gemma":0.00037152247,"threshold_uncertainty_score":0.011170328},"labels":[],"label_agreement":null},{"id":"W3117462055","doi":"","title":"THE EFFECT OF MICROWAVE IRRADIATION ON THE MECHANICAL PROPERTIES OF KIMBERLITE AND LIMESTONE","year":2020,"lang":"en","type":"article","venue":"Selçuk-Teknik Dergisi","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Kimberlite; Compressive strength; Excavation; Ultimate tensile strength; Mining engineering; Explosive material; Rock blasting; Geology; Microwave; Materials science; Environmental science; Geotechnical engineering; Composite material; Engineering; Geochemistry; Mantle (geology)","score_opus":0.011038348035477309,"score_gpt":0.1832922263563932,"score_spread":0.17225387832091588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117462055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999059,0.00032108446,0.00017145454,0.0000074844706,0.000002359297,0.0000047149165,0.00004847627,0.000004014065,0.00038130413],"genre_scores_gemma":[0.99867105,0.00020657705,0.00031867166,0.000012321164,0.0000011722526,0.000006582753,0.00007139098,0.0000032680514,0.00070910476],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999119,0.000013394066,0.000007835268,0.000016634358,0.000034388624,0.000015875068],"domain_scores_gemma":[0.9997284,0.00009182293,0.00008282111,0.000017044225,0.00005361616,0.00002629038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017427742,0.0001903997,0.000119171455,0.00031306676,0.0001571994,0.00015727256,0.000114395094,0.00018188525,0.0012208202],"category_scores_gemma":[0.000320142,0.00012658908,0.0001388286,0.00027549834,0.00021474353,0.00013793161,0.0000969606,0.00019300326,0.000112118476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022984653,0.000018252102,0.003051261,0.00006283696,0.000014622152,0.000110298824,0.00009768253,0.00012549399,0.9937936,0.000016263943,0.000018288623,0.0024616017],"study_design_scores_gemma":[0.000009147146,0.0007896425,0.09902176,0.000010683913,0.00003554606,0.00020285616,0.0002433719,0.00033145453,0.8981581,0.000011401876,0.0011768164,0.000009238673],"about_ca_topic_score_codex":0.0010237903,"about_ca_topic_score_gemma":0.002599407,"teacher_disagreement_score":0.0012208202,"about_ca_system_score_codex":0.00011355833,"about_ca_system_score_gemma":0.000077224126,"threshold_uncertainty_score":0.0040840507},"labels":[],"label_agreement":null},{"id":"W3117705264","doi":"","title":"A REVIEW OF EXPLOSIVE-FREE ROCK BREAKAGE (EFRB) TECHNOLOGIES IN MINING INDUSTRY","year":2020,"lang":"en","type":"review","venue":"Selçuk-Teknik Dergisi","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Breakage; Excavation; Explosive material; Mining engineering; Mining industry; Engineering; Forensic engineering; Geotechnical engineering; Computer science","score_opus":0.038246487608774214,"score_gpt":0.2903854339845779,"score_spread":0.2521389463758037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117705264","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026912583,0.9982322,0.00027801536,0.00011647187,0.00015426308,0.00000948896,0.000028724358,0.000007477135,0.0009042401],"genre_scores_gemma":[0.0009228609,0.9981178,0.00039026898,0.00009582157,0.000100445424,0.0000088836205,0.00003672836,0.0000018931859,0.00032527378],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99932456,0.000091201146,0.00016183536,0.00011665116,0.00025710912,0.00004880496],"domain_scores_gemma":[0.99869436,0.00073327136,0.00023481638,0.00003084983,0.000258925,0.000047880687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010095782,0.0011953436,0.001360472,0.005052334,0.00045209707,0.0014108589,0.0011816673,0.00130447,0.0035757176],"category_scores_gemma":[0.001360332,0.0005982968,0.0011258186,0.0043011275,0.0004904507,0.0023642157,0.0006587724,0.0010790896,0.0011612147],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010916257,0.00017414028,0.00048278607,0.1426263,0.00020616675,0.00036642922,0.00022234468,0.0010992693,0.007198055,0.005776669,0.026088485,0.8156501],"study_design_scores_gemma":[0.000011010108,0.00033862042,0.0016691539,0.016879302,0.00029657394,0.0010918506,0.00013626584,0.00025327282,0.0018682793,0.0012581879,0.9761523,0.000045232282],"about_ca_topic_score_codex":0.0015344066,"about_ca_topic_score_gemma":0.0020187353,"teacher_disagreement_score":0.005052334,"about_ca_system_score_codex":0.00074858486,"about_ca_system_score_gemma":0.0015379735,"threshold_uncertainty_score":0.011961937},"labels":[],"label_agreement":null},{"id":"W3124752535","doi":"10.20944/preprints201904.0154.v1","title":"Structural Change Analysis of Cerianite in Weathered Residual Rare Earth Ore by Mechanochemical Reduction Using X-ray Absorption Fine Structure","year":2019,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Hosokawa Powder Technology Foundation; Waseda University","keywords":"Dissolution; Crystal structure; Cerium; Amorphous solid; Absorption (acoustics); X-ray absorption fine structure; Structural change; Materials science; Chemistry; Mineralogy; Crystallography; Metallurgy; Physical chemistry; Composite material","score_opus":0.08083482212901197,"score_gpt":0.3026938888297617,"score_spread":0.22185906670074976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124752535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987827,0.000105476254,0.00068906695,0.000014316009,0.0000023835973,0.0000024160684,0.000049991373,0.000017187076,0.00033642683],"genre_scores_gemma":[0.99875593,0.00007253397,0.0006674533,0.000007784518,0.0000011598448,0.000003202028,0.00008647353,0.0000063762823,0.00039906838],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999505,0.0000030143287,0.0000020120435,0.000015787358,0.00001816348,0.0000105501085],"domain_scores_gemma":[0.9999366,0.000013482968,0.00001815533,0.0000066399584,0.000020030871,0.0000051782868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090839894,0.00010824365,0.00013999951,0.00027858207,0.00015295096,0.00014578346,0.00018950102,0.00024928694,0.00096102105],"category_scores_gemma":[0.00011570014,0.00014073164,0.00022580934,0.00018837309,0.00024728922,0.00021597743,0.000110599576,0.00027301302,0.000077268174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010298016,0.000011210668,0.0016203093,0.00004094627,0.000006294921,0.00006721874,0.00007081936,0.00041997852,0.9959065,0.00008575543,0.00002857502,0.0016394809],"study_design_scores_gemma":[0.00001934054,0.00016526843,0.05664122,0.000007035804,0.000022787857,0.0002589224,0.00018047553,0.008835541,0.9328554,0.00011949688,0.0008815581,0.000012866449],"about_ca_topic_score_codex":0.0015296829,"about_ca_topic_score_gemma":0.0019093807,"teacher_disagreement_score":0.0015296829,"about_ca_system_score_codex":0.00020133774,"about_ca_system_score_gemma":0.00008982561,"threshold_uncertainty_score":0.0032149553},"labels":[],"label_agreement":null},{"id":"W3127974952","doi":"10.1109/tii.2021.3056709","title":"Data-Driven Multiobjective Predictive Optimal Control of Refining Process With Non-Gaussian Stochastic Distribution Dynamics","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Liaoning Revitalization Talents Program; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Probability density function; Model predictive control; Mathematical optimization; Control theory (sociology); Gaussian; Artificial neural network; Gaussian process; Radial basis function; Nonlinear system; Stability (learning theory); Mathematics; Computer science; Artificial intelligence; Machine learning; Statistics; Control (management)","score_opus":0.024561250704416688,"score_gpt":0.24975869659594288,"score_spread":0.22519744589152618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127974952","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.076563746,0.00061687577,0.91668165,0.00030563626,0.00010008022,0.00008474021,0.00006569634,0.0003215209,0.0052600093],"genre_scores_gemma":[0.98197603,0.00020429297,0.016024377,0.000049834875,0.00001711281,0.00013717609,0.000056826222,0.000015126146,0.0015191867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948287,0.00010415101,0.000026841462,0.0001315538,0.00016742256,0.000087233486],"domain_scores_gemma":[0.9992428,0.00034708218,0.00013828462,0.000025078381,0.00021849456,0.00002829125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013372482,0.0011535985,0.0012109171,0.00043375324,0.00055559666,0.0014432424,0.001030513,0.001097388,0.0007047431],"category_scores_gemma":[0.0016646049,0.00065404305,0.00071357464,0.00050334586,0.00087562867,0.0005787367,0.0009947764,0.0011633986,0.00012416152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038410988,0.00001995267,0.00021091924,0.0000465437,0.000016912953,0.00004372159,0.00003395417,0.9913306,0.0013166579,0.00092023215,0.0001302515,0.0058918092],"study_design_scores_gemma":[0.0000044392104,0.0000133148815,0.000052622672,0.0000017306452,0.0000026592002,0.000001665201,0.00000246158,0.99955493,0.00017970584,0.00013399357,0.00005035658,0.0000020570137],"about_ca_topic_score_codex":0.020834504,"about_ca_topic_score_gemma":0.011893602,"teacher_disagreement_score":0.020834504,"about_ca_system_score_codex":0.0009865152,"about_ca_system_score_gemma":0.0016922083,"threshold_uncertainty_score":0.04142648},"labels":[],"label_agreement":null},{"id":"W3133206123","doi":"10.1021/acs.iecr.0c05474","title":"Prediction of Solid Holdup in a Gas–Solid Circulating Fluidized Bed Riser by Artificial Neural Networks","year":2021,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"State Key Laboratory of Heavy Oil Processing; Natural Science Foundation of Shaanxi Province","keywords":"Artificial neural network; Fluidized bed combustion; Fluidized bed; Range (aeronautics); Biological system; Process (computing); Computer science; Artificial intelligence; Materials science; Engineering; Waste management","score_opus":0.09524703587635612,"score_gpt":0.3132825626035395,"score_spread":0.21803552672718335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133206123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88110894,0.00065756694,0.116008185,0.0001292174,0.00007243878,0.00006116139,0.00021233193,0.00064696226,0.0011031778],"genre_scores_gemma":[0.9809482,0.00016087046,0.018281829,0.0000109743205,0.000004299249,0.00002589683,0.000094015675,0.000017059267,0.0004568027],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996295,0.00006619912,0.00003279292,0.00009196255,0.00014631289,0.000033189564],"domain_scores_gemma":[0.9993691,0.00038092156,0.00005277566,0.000032765183,0.00014788854,0.00001665421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010379006,0.0006815617,0.00072645536,0.0005392501,0.0003283682,0.0005588415,0.0004950218,0.0007790105,0.0004365826],"category_scores_gemma":[0.0017442618,0.00039289182,0.0005611235,0.0004817822,0.00025290114,0.00052614947,0.00023474985,0.0006638596,0.00018646938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008012373,0.00024892527,0.013591569,0.00034810088,0.00008474822,0.00033452487,0.0001563897,0.73007685,0.15733212,0.00036254077,0.000380189,0.09628289],"study_design_scores_gemma":[0.0000050735594,0.00007619456,0.0021256357,0.0000043075042,0.000008493598,0.000012077757,0.000011993405,0.9695386,0.028052244,0.0000626478,0.00009234819,0.000010329224],"about_ca_topic_score_codex":0.0067513115,"about_ca_topic_score_gemma":0.007866864,"teacher_disagreement_score":0.0067513115,"about_ca_system_score_codex":0.0006959965,"about_ca_system_score_gemma":0.00055231014,"threshold_uncertainty_score":0.013423979},"labels":[],"label_agreement":null},{"id":"W3134567281","doi":"10.17580/tsm.2021.02.01","title":"A study of gold ore for processability by gravity separation techniques","year":2021,"lang":"en","type":"article","venue":"Tsvetnye Metally","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gravity separation; Grinding; Specific gravity; Concentrator; Process engineering; Gold ore; Stage (stratigraphy); Metallurgy; Geology; Environmental science; Materials science; Engineering; Mechanical engineering; Mineralogy","score_opus":0.022526883086483804,"score_gpt":0.3049771764776153,"score_spread":0.2824502933911315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134567281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99163353,0.00030534787,0.006417027,0.000036807207,0.0000037028187,0.00006140572,0.0000418926,0.000033611672,0.0014668325],"genre_scores_gemma":[0.9891327,0.00030611883,0.009556304,0.000012386515,0.00000229277,0.000017137543,0.000058315978,0.000010755045,0.00090399594],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99948174,0.00007474044,0.000018053272,0.00008069199,0.00028660364,0.000058193313],"domain_scores_gemma":[0.999532,0.00026931413,0.00004023178,0.00003787187,0.000103496,0.000016984755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053703063,0.00023352896,0.00038916548,0.00042952097,0.00046164988,0.00035515442,0.00048644526,0.00048405895,0.0006687313],"category_scores_gemma":[0.0010682391,0.00017099324,0.00046885802,0.0004890439,0.00045612478,0.00042117984,0.00022424097,0.00037281108,0.00013979715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002653374,0.0001187552,0.0035207302,0.00016033153,0.000018475626,0.00016147904,0.00030175678,0.008339742,0.9681941,0.0005301095,0.00007786308,0.018311338],"study_design_scores_gemma":[0.000028643892,0.002697802,0.016875224,0.000008933913,0.000023628902,0.00020272538,0.00014528006,0.021392817,0.9567737,0.00019710754,0.0016270758,0.00002712663],"about_ca_topic_score_codex":0.005113962,"about_ca_topic_score_gemma":0.0049958187,"teacher_disagreement_score":0.005113962,"about_ca_system_score_codex":0.0007219043,"about_ca_system_score_gemma":0.0005621095,"threshold_uncertainty_score":0.010168374},"labels":[],"label_agreement":null},{"id":"W3136283883","doi":"10.82308/23401","title":"Making ore sorting a robust preconcentration process in the hard-rock mining industry: low-frequency electromagnetic analysis of ores using AC energized coils","year":2015,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sorting; Mining industry; Process (computing); Mining engineering; Metallurgy; Geology; Engineering; Materials science; Computer science","score_opus":0.05994250907257107,"score_gpt":0.2740467377796593,"score_spread":0.21410422870708826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136283883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7352049,0.0018920897,0.24859783,0.0011332262,0.00035599477,0.00027001984,0.00020986178,0.0011051976,0.011230903],"genre_scores_gemma":[0.8753156,0.0013280492,0.10980173,0.00033097347,0.000073656105,0.000089800546,0.0002197749,0.00013819123,0.012702184],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999587,0.00003672536,0.000016852493,0.00008285063,0.00023754509,0.00003913673],"domain_scores_gemma":[0.99976975,0.000055566168,0.00003577038,0.000029395833,0.000090533445,0.000018934867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003828576,0.00026407238,0.00030488844,0.0003312123,0.00029525027,0.0007975039,0.00035178504,0.000543536,0.0009581042],"category_scores_gemma":[0.00049138075,0.0001815311,0.0002664329,0.0002852287,0.0005502218,0.00055977365,0.0003709649,0.0004637303,0.00072310405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010520265,0.000036904217,0.00052535255,0.00017288224,0.000007907804,0.000086093656,0.00015304078,0.0009096967,0.96409947,0.000546955,0.00059787434,0.032758705],"study_design_scores_gemma":[0.000021826134,0.00033719218,0.002333668,0.000023123186,0.000023680614,0.00028043587,0.0001415307,0.006628877,0.9732721,0.00038886644,0.01652928,0.000019448145],"about_ca_topic_score_codex":0.00036428327,"about_ca_topic_score_gemma":0.00076390285,"teacher_disagreement_score":0.0009581042,"about_ca_system_score_codex":0.00025270082,"about_ca_system_score_gemma":0.0004055156,"threshold_uncertainty_score":0.0032052398},"labels":[],"label_agreement":null},{"id":"W3137759495","doi":"10.1016/j.mineng.2021.106863","title":"Characterizing the behaviour of platinum group minerals in a grinding circuit","year":2021,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Platinum group; Arithmetic underflow; Grinding; Ball mill; Platinum; Partition (number theory); Gravity separation; Palladium; Cyclone (programming language); Chemistry; Mineralogy; Metallurgy; Geology; Materials science; Engineering; Mathematics; Computer science","score_opus":0.01733350001825407,"score_gpt":0.21235319657619178,"score_spread":0.19501969655793772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137759495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99447423,0.00006562775,0.003777115,0.000044399178,0.0000066774896,0.000011928516,0.00006733775,0.00012327683,0.0014293737],"genre_scores_gemma":[0.99757594,0.00003366762,0.0011939196,0.000012586071,0.0000019355264,0.0000030899548,0.000049241648,0.00002698001,0.0011026126],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998436,0.0000097238035,0.0000029181508,0.00003740716,0.000083510175,0.000022851866],"domain_scores_gemma":[0.99966145,0.00016899145,0.000044214074,0.00003004781,0.0000663072,0.000029003293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012187102,0.00014963937,0.00022134905,0.00025183952,0.000271725,0.00035450511,0.00048135463,0.0003984261,0.0024904404],"category_scores_gemma":[0.0006747018,0.000120917524,0.00011857385,0.0002686224,0.00026331813,0.00032823236,0.00014773151,0.00033926428,0.00028404553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026987446,0.000035000754,0.0020604809,0.000034202,0.0000078814855,0.00012381503,0.00007256725,0.0019766027,0.9890828,0.00012691306,0.000102138496,0.0061077136],"study_design_scores_gemma":[0.00001419288,0.0005392919,0.017804414,0.0000046333284,0.000015197433,0.00014960785,0.0001274772,0.04577175,0.9342252,0.00013435056,0.0012044974,0.000009513911],"about_ca_topic_score_codex":0.0011636728,"about_ca_topic_score_gemma":0.0018750759,"teacher_disagreement_score":0.0024904404,"about_ca_system_score_codex":0.00039923214,"about_ca_system_score_gemma":0.00018636948,"threshold_uncertainty_score":0.008331299},"labels":[],"label_agreement":null},{"id":"W3154468223","doi":"10.1016/j.ifacol.2020.12.694","title":"A steady-state model of the high-pressure grinding rolls","year":2020,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Grinding; Mechanics; Steady state (chemistry); Extrusion; Enhanced Data Rates for GSM Evolution; Work (physics); Volumetric flow rate; Flow (mathematics); Power (physics); Materials science; Slip (aerodynamics); Mechanical engineering; Engineering; Physics; Metallurgy; Thermodynamics; Chemistry","score_opus":0.018849276489421238,"score_gpt":0.2029463163829057,"score_spread":0.18409703989348447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154468223","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14199351,0.00037359892,0.8056789,0.0005452439,0.00016802103,0.00021122769,0.0014589563,0.0012215178,0.048349038],"genre_scores_gemma":[0.91637206,0.0005516283,0.046006743,0.0001542756,0.000062828345,0.0004899999,0.00093638204,0.00024597376,0.03518025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977344,0.000033368025,0.000009003813,0.0000716035,0.00007918313,0.000033413307],"domain_scores_gemma":[0.9997019,0.000105582694,0.00004322407,0.00003017682,0.000098544064,0.000020460371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004255646,0.00051719137,0.0007014417,0.00040850666,0.0006026628,0.0013665103,0.0018349567,0.0012792471,0.005052143],"category_scores_gemma":[0.0008485136,0.0005166058,0.000876195,0.00037420492,0.0007865345,0.0013977574,0.00057696714,0.00096076744,0.0013972862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003301174,0.000038340695,0.00061742315,0.00004289186,0.000012412906,0.00005571223,0.00005514083,0.9802152,0.005879313,0.009272329,0.00044946943,0.0033286682],"study_design_scores_gemma":[0.0000077044915,0.000020378058,0.00031661327,0.000002991237,0.000005562827,0.000013154792,0.000008066095,0.99692947,0.00069949916,0.0011522683,0.00083614915,0.0000081378585],"about_ca_topic_score_codex":0.011427995,"about_ca_topic_score_gemma":0.005457895,"teacher_disagreement_score":0.011427995,"about_ca_system_score_codex":0.0009879534,"about_ca_system_score_gemma":0.001315151,"threshold_uncertainty_score":0.02272296},"labels":[],"label_agreement":null},{"id":"W3155825900","doi":"10.3390/rs13081420","title":"Heap Leach Pad Surface Moisture Monitoring Using Drone-Based Aerial Images and Convolutional Neural Networks: A Case Study at the El Gallo Mine, Mexico","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Heap leaching; Drone; Computer science; RGB color model; Convolutional neural network; Environmental science; Heap (data structure); Surface water; Artificial intelligence; Remote sensing; Geology; Materials science; Tailings; Environmental engineering; Algorithm","score_opus":0.02227352635769479,"score_gpt":0.2658053088553201,"score_spread":0.24353178249762533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155825900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99518305,0.00009603513,0.002537109,0.000113448994,0.000008756302,0.000030245663,0.00037426015,0.0000853685,0.001571666],"genre_scores_gemma":[0.9935588,0.00012101961,0.004952956,0.000018447137,0.000005321675,0.000015700512,0.00029123132,0.0000067146902,0.0010296718],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998772,0.000017577053,0.000006289517,0.000034164954,0.00003696022,0.000027808619],"domain_scores_gemma":[0.9998841,0.000031963147,0.000019856403,0.000012404649,0.000040524832,0.000011089381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015390805,0.00028662937,0.00019140357,0.00066098495,0.00029009252,0.0002718574,0.00042459328,0.0004803485,0.00042487957],"category_scores_gemma":[0.00026756828,0.000103959836,0.00017864753,0.00056143245,0.00024635802,0.00025547683,0.00024208876,0.00022598855,0.00008435291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008692581,0.0013632698,0.39273858,0.0009290412,0.00033008674,0.018313352,0.0028430533,0.17843775,0.093240775,0.0016531496,0.008606983,0.30067462],"study_design_scores_gemma":[0.00007648526,0.00039199536,0.49008542,0.0000889426,0.00013741912,0.00083254615,0.005433089,0.46211863,0.033212863,0.0006076669,0.006941736,0.000073297815],"about_ca_topic_score_codex":0.05502694,"about_ca_topic_score_gemma":0.1464813,"teacher_disagreement_score":0.05502694,"about_ca_system_score_codex":0.0006866879,"about_ca_system_score_gemma":0.0003120078,"threshold_uncertainty_score":0.109413326},"labels":[],"label_agreement":null},{"id":"W3155965655","doi":"","title":"An artificial neural network approach for predicting rock support damage at Cigar Lake Mine: A case study","year":2020,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Artificial neural network; Geology; Mining engineering; Artificial intelligence; Computer science","score_opus":0.040200681992640666,"score_gpt":0.26102189648042706,"score_spread":0.2208212144877864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155965655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867214,0.00013556256,0.009992682,0.00024134669,0.0000162849,0.000043894863,0.00026518505,0.00013957237,0.0024441937],"genre_scores_gemma":[0.992411,0.00008190267,0.0054232907,0.000010701735,0.0000059259187,0.0000151215145,0.00015191903,0.0000071997856,0.0018930406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998385,0.00003483562,0.000010797037,0.00003594999,0.00004850762,0.00003140064],"domain_scores_gemma":[0.99947625,0.00027312574,0.00005094766,0.000022780425,0.000147584,0.0000292971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003883405,0.0006958114,0.0004093875,0.00097570504,0.00061747275,0.00062039983,0.0008549063,0.0014607565,0.001428692],"category_scores_gemma":[0.0009567478,0.00036089215,0.00033930066,0.0007744292,0.00030913838,0.00055994757,0.00032135413,0.0005458377,0.00017735119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022403842,0.00042263092,0.033616878,0.00006554547,0.00005155966,0.0010757619,0.00007374973,0.9298645,0.0026712767,0.00045342633,0.0008988198,0.030581817],"study_design_scores_gemma":[0.0000040639893,0.000037591475,0.0034994027,0.0000024674978,0.0000062849763,0.000023848586,0.00004583146,0.9957651,0.0004116342,0.00012038683,0.00007896411,0.0000044017447],"about_ca_topic_score_codex":0.045647237,"about_ca_topic_score_gemma":0.07612538,"teacher_disagreement_score":0.045647237,"about_ca_system_score_codex":0.0012412411,"about_ca_system_score_gemma":0.00064772787,"threshold_uncertainty_score":0.09076309},"labels":[],"label_agreement":null},{"id":"W3157903252","doi":"10.1109/tcyb.2021.3071665","title":"Operating Performance Improvement Based on Prediction and Grade Assessment for Sintering Process","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Higher Education Discipline Innovation Project; China Scholarship Council; China University of Geosciences; Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Process (computing); Computer science; Performance prediction; Performance improvement; Gaussian process; Operating point; Gaussian; Reliability engineering; Simulation; Engineering; Operations management","score_opus":0.014307884640325145,"score_gpt":0.254042912631851,"score_spread":0.23973502799152588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157903252","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1216972,0.0004325724,0.87207335,0.00012529084,0.0000545228,0.00007089689,0.000097867465,0.0028811672,0.0025671432],"genre_scores_gemma":[0.9471922,0.00019924034,0.051358428,0.000029871475,0.000017370156,0.000042612097,0.00015136402,0.00006870842,0.0009401579],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880517,0.0001917167,0.00009159144,0.00027445023,0.0005597258,0.00007737563],"domain_scores_gemma":[0.99884725,0.00037934294,0.00023763067,0.0001348376,0.00037054287,0.000030311203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011750618,0.0011332025,0.0007494111,0.0011406466,0.00042453822,0.0009114206,0.00071629044,0.000568243,0.0007457464],"category_scores_gemma":[0.0029272898,0.00024518426,0.0007019917,0.0007574698,0.00035161184,0.0012244921,0.00062516227,0.0007958524,0.00036649537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006144718,0.00035760461,0.017908216,0.00027684582,0.000093287,0.00016441553,0.00026290223,0.41670024,0.0646088,0.002004503,0.0015900596,0.4954186],"study_design_scores_gemma":[0.0000069683706,0.0001457212,0.0029553098,0.0000064813503,0.00002382252,0.00003073018,0.000020824595,0.9744747,0.021568486,0.00038767725,0.00035172238,0.00002759742],"about_ca_topic_score_codex":0.0038885432,"about_ca_topic_score_gemma":0.002743263,"teacher_disagreement_score":0.0038885432,"about_ca_system_score_codex":0.0006371357,"about_ca_system_score_gemma":0.00058288913,"threshold_uncertainty_score":0.007731855},"labels":[],"label_agreement":null},{"id":"W3159312663","doi":"10.24908/iqurcp.9030","title":"Mining of Landfills for the Recovery of Resources","year":2016,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Waste management; Municipal solid waste; Environmental science; Production (economics); Engineering","score_opus":0.09155026726652934,"score_gpt":0.33554950107487713,"score_spread":0.2439992338083478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159312663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5700092,0.012351166,0.060227603,0.010615801,0.000522684,0.0006214415,0.0007124498,0.0014246673,0.34351504],"genre_scores_gemma":[0.8596893,0.004862806,0.03319371,0.00054331747,0.000051763258,0.00005046877,0.0002706648,0.00013328604,0.101204805],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99935204,0.00010581978,0.00002406197,0.000048957663,0.00034680017,0.00012238209],"domain_scores_gemma":[0.9997037,0.00004891356,0.00004631966,0.00007510246,0.000081212485,0.000044741322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072333874,0.00028499277,0.00031759022,0.0009987758,0.0017004893,0.0013892944,0.00056616374,0.00053014,0.009617142],"category_scores_gemma":[0.00076599716,0.00019158889,0.00041165398,0.0009716807,0.0007339973,0.0008801168,0.0010483968,0.0004871791,0.0028059324],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057286705,0.0005624333,0.023855781,0.0015750901,0.00006176412,0.0059797876,0.004024188,0.0042890543,0.16245393,0.05311192,0.043248124,0.70026517],"study_design_scores_gemma":[0.000060261136,0.0006583764,0.037837423,0.000731761,0.000044895245,0.008274464,0.008657852,0.004558594,0.16223519,0.021213124,0.7556567,0.00007129892],"about_ca_topic_score_codex":0.0030057258,"about_ca_topic_score_gemma":0.01402983,"teacher_disagreement_score":0.009617142,"about_ca_system_score_codex":0.0009455231,"about_ca_system_score_gemma":0.002587092,"threshold_uncertainty_score":0.03217256},"labels":[],"label_agreement":null},{"id":"W3159387031","doi":"10.3390/app9163245","title":"Intelligent Identification of Maceral Components of Coal Based on Image Segmentation and Classification","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"China Postdoctoral Science Foundation","keywords":"Maceral; Liptinite; Inertinite; Computer science; Artificial intelligence; Vitrinite; Pattern recognition (psychology); Segmentation; Coal; Identification (biology); Cluster analysis; Data mining; Engineering","score_opus":0.028572548507504177,"score_gpt":0.26685547310846314,"score_spread":0.23828292460095896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159387031","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.124185905,0.0005417845,0.86593413,0.00017228135,0.00004990037,0.00020453279,0.00038180154,0.004998139,0.0035313868],"genre_scores_gemma":[0.31719896,0.0005340187,0.67850214,0.00012844689,0.000041136314,0.00011086412,0.000809059,0.00036774913,0.0023075098],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995957,0.000030272882,0.000024518531,0.00013420737,0.00014393199,0.000071372015],"domain_scores_gemma":[0.99941695,0.00012728978,0.00009749078,0.000079113015,0.00024266138,0.000036577003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076489896,0.00077007996,0.0005446678,0.0037355707,0.00037620225,0.0010018259,0.000759232,0.00074725354,0.0012477986],"category_scores_gemma":[0.0010442098,0.00032231264,0.00067334034,0.0010279518,0.0005390718,0.0009097726,0.0006458699,0.00039734755,0.0008932784],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033562217,0.000095764524,0.013828515,0.00045189378,0.000074650794,0.00029162795,0.00042783498,0.013139685,0.35683534,0.0022446045,0.0031136763,0.6091608],"study_design_scores_gemma":[0.000025182188,0.00014655932,0.034411848,0.00007652785,0.00014171204,0.0008388673,0.00044280177,0.6258425,0.32386777,0.0046053166,0.009519124,0.000081705606],"about_ca_topic_score_codex":0.002501002,"about_ca_topic_score_gemma":0.00466763,"teacher_disagreement_score":0.0037355707,"about_ca_system_score_codex":0.0003737199,"about_ca_system_score_gemma":0.0006280967,"threshold_uncertainty_score":0.0049729347},"labels":[],"label_agreement":null},{"id":"W3164201999","doi":"10.4095/328273","title":"Evaluation and optimization of acid processing procedures for the extraction of conodont elements from calcareous rock","year":2021,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Conodont; Calcareous; Extraction (chemistry); Geology; Mineralogy; Chemistry; Paleontology; Chromatography; Biostratigraphy","score_opus":0.051095990870660184,"score_gpt":0.3319159801324352,"score_spread":0.280819989261775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164201999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94091654,0.008591598,0.04480866,0.000221716,0.00012420653,0.0005226433,0.0006526441,0.00014189268,0.0040201913],"genre_scores_gemma":[0.7739704,0.014159704,0.20452496,0.00029554233,0.00008243232,0.00054509257,0.0017833447,0.0001706948,0.0044678007],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99903107,0.00016524225,0.00009521153,0.00016835102,0.00047103042,0.00006917063],"domain_scores_gemma":[0.99944144,0.00015255218,0.00015640861,0.000038129787,0.00018354353,0.000027850787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011403017,0.0005211805,0.0004691788,0.00070885796,0.00040856237,0.00069880654,0.00048144453,0.00044985051,0.0010906106],"category_scores_gemma":[0.0017572657,0.00025750263,0.00039516302,0.00077073957,0.0003908901,0.0007422232,0.00041012422,0.00059673504,0.00068424566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026748178,0.00010658661,0.0022463603,0.00081586716,0.000034201737,0.00022769139,0.00015350111,0.0007680533,0.9672614,0.00017208829,0.00016195023,0.02778479],"study_design_scores_gemma":[0.000019422187,0.0013740796,0.014213642,0.00012423213,0.00012436016,0.00065749575,0.0004948699,0.0025792893,0.9683906,0.00017952765,0.011789442,0.00005315884],"about_ca_topic_score_codex":0.0010072748,"about_ca_topic_score_gemma":0.004422439,"teacher_disagreement_score":0.0011403017,"about_ca_system_score_codex":0.00021353991,"about_ca_system_score_gemma":0.0005872958,"threshold_uncertainty_score":0.0060305595},"labels":[],"label_agreement":null},{"id":"W3171493278","doi":"10.5194/egusphere-egu21-13356","title":"Mapping and characterisation of the Oxia Planum clay-bearing unit using CaSSIS imagery","year":2021,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Geology; High resolution; Mineralogy; Geochemistry; Remote sensing","score_opus":0.0329259897045193,"score_gpt":0.2264048079381654,"score_spread":0.1934788182336461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171493278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99347246,0.000055771274,0.0008773204,0.00004133178,0.0000039631104,0.0000324558,0.00040437872,0.000057368226,0.005055125],"genre_scores_gemma":[0.99305046,0.000080923426,0.0038856952,0.000013205297,0.0000048062716,0.000019747948,0.000646893,0.000013773267,0.002284523],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999207,0.0000043859345,0.0000029076389,0.000019007006,0.000038994596,0.0000140492375],"domain_scores_gemma":[0.9998981,0.000015788637,0.000017621696,0.000011485854,0.00003670758,0.000020299321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011033623,0.00018134028,0.00009889513,0.0009466449,0.0002785114,0.0004645891,0.0001846581,0.00018099601,0.0008756833],"category_scores_gemma":[0.00024782005,0.00010910875,0.00008318934,0.00060932676,0.00023967291,0.00019397016,0.0003205396,0.0002009534,0.00016045614],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008350194,0.00020925356,0.5320136,0.0003851277,0.00008045584,0.0053574094,0.005287692,0.02453246,0.25278807,0.0022940917,0.0063055344,0.16991118],"study_design_scores_gemma":[0.00002737043,0.00011823693,0.9523584,0.000043986838,0.000021890226,0.0004564763,0.0010713008,0.021543551,0.01732483,0.0001246828,0.006892452,0.00001690939],"about_ca_topic_score_codex":0.04771403,"about_ca_topic_score_gemma":0.09286387,"teacher_disagreement_score":0.04771403,"about_ca_system_score_codex":0.00041610937,"about_ca_system_score_gemma":0.00043632108,"threshold_uncertainty_score":0.094872594},"labels":[],"label_agreement":null},{"id":"W3171866230","doi":"10.1016/j.mineng.2021.106999","title":"Insight in ore grade heterogeneity and potential of bulk ore sorting application for block cave mining","year":2021,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; National University's Basic Research Foundation of China; China Scholarship Council","keywords":"Sorting; Block (permutation group theory); Mining engineering; Geology; Fractal dimension; Cave; Mineralogy; Fractal; Geography; Computer science; Mathematics","score_opus":0.012630259480165234,"score_gpt":0.22693541798362274,"score_spread":0.2143051585034575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171866230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98381793,0.0004000507,0.0072266455,0.00013020932,0.000010663013,0.000025990828,0.0003104354,0.00012448119,0.007953645],"genre_scores_gemma":[0.99557,0.00013881073,0.0022925965,0.00002228531,0.0000042636348,0.0000050589297,0.00014387621,0.000020711112,0.0018022516],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996692,0.00001884962,0.000014778201,0.00008165498,0.00014601051,0.00006954564],"domain_scores_gemma":[0.9996327,0.00010450873,0.000045880526,0.00003862883,0.00015140827,0.000026759755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038011294,0.0001995032,0.00035220452,0.00079660123,0.00042702755,0.0010640667,0.00052370806,0.00048243153,0.002690053],"category_scores_gemma":[0.00084527564,0.00019500902,0.00026862958,0.0006817433,0.0003419632,0.0007973995,0.00037611029,0.0003199476,0.0005094538],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009710646,0.00020136406,0.081593886,0.0003587037,0.000071710296,0.000591509,0.00026170668,0.021118991,0.8074033,0.0062396014,0.0010354127,0.08015281],"study_design_scores_gemma":[0.000058212023,0.00095524447,0.25165,0.00007418781,0.00017045606,0.0013135565,0.0018163089,0.15800078,0.5575398,0.008758818,0.019572835,0.000089740206],"about_ca_topic_score_codex":0.005674273,"about_ca_topic_score_gemma":0.013792349,"teacher_disagreement_score":0.005674273,"about_ca_system_score_codex":0.0005829645,"about_ca_system_score_gemma":0.000641561,"threshold_uncertainty_score":0.011282504},"labels":[],"label_agreement":null},{"id":"W3174427304","doi":"10.3390/min11070689","title":"Partial Least Squares Regression of Oil Sands Processing Variables within Discrete Event Simulation Digital Twin","year":2021,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada; McGill University","funders":"Office of Energy Research and Development; Natural Sciences and Engineering Research Council of Canada","keywords":"Oil sands; Asphalt; Pace; Petroleum industry; Sedimentary depositional environment; Process (computing); Computer science; Fossil fuel; Mining engineering; Petroleum engineering; Geology; Environmental science; Environmental resource management; Engineering; Geography; Environmental engineering","score_opus":0.016199562104605457,"score_gpt":0.26506519356806385,"score_spread":0.2488656314634584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174427304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5831325,0.00016796334,0.40585113,0.00034079075,0.0000895584,0.00013694617,0.00092410244,0.0013606076,0.007996407],"genre_scores_gemma":[0.95639634,0.000060098027,0.040647313,0.000037137597,0.0000110318715,0.00008422726,0.0005865603,0.000062071,0.00211514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965644,0.00011916003,0.000021132177,0.00008282179,0.00007413443,0.000046408153],"domain_scores_gemma":[0.9975967,0.0018646765,0.0001207116,0.00010820383,0.00023378918,0.00007594758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010357049,0.0006817689,0.00074865343,0.0005451899,0.00035601362,0.0010069971,0.0008606202,0.000864956,0.0026774819],"category_scores_gemma":[0.0038655458,0.000391612,0.00080438674,0.00051042845,0.00057493657,0.0006270231,0.00077604037,0.0011993507,0.0002886915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027870336,0.000019219282,0.0011421274,0.000008548667,0.0000118861035,0.0000131661445,0.0000076093197,0.9962437,0.000113687696,0.00071781984,0.00004755081,0.0016469253],"study_design_scores_gemma":[0.0000014835156,0.0000034785785,0.00008533116,3.9379415e-7,0.0000010473304,7.333059e-7,0.0000027821968,0.99968636,0.00006630815,0.000113292575,0.00003759869,0.000001111952],"about_ca_topic_score_codex":0.052719537,"about_ca_topic_score_gemma":0.025468513,"teacher_disagreement_score":0.052719537,"about_ca_system_score_codex":0.0010074015,"about_ca_system_score_gemma":0.0012228651,"threshold_uncertainty_score":0.10482532},"labels":[],"label_agreement":null},{"id":"W3175623508","doi":"10.1016/j.ijrmms.2021.104839","title":"A deep learning approach for rock fragmentation analysis","year":2021,"lang":"en","type":"article","venue":"International Journal of Rock Mechanics and Mining Sciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Fragmentation (computing); Artificial neural network; Artificial intelligence; Test set; Deep learning; Pattern recognition (psychology); Comminution; Computer science; Geology","score_opus":0.018839941546359876,"score_gpt":0.27344714680376175,"score_spread":0.2546072052574019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175623508","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053590726,0.0010651066,0.9388695,0.0005775359,0.00013128076,0.00006474631,0.0007382212,0.0021517377,0.0028111497],"genre_scores_gemma":[0.6687165,0.0006835043,0.313125,0.0006219836,0.00021354276,0.00017552772,0.002519866,0.00023233508,0.013711774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998049,0.000027442735,0.00001064621,0.000051835264,0.0000584573,0.000046801844],"domain_scores_gemma":[0.99949443,0.00019229374,0.000041463438,0.000059984097,0.00016375727,0.00004812063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005119806,0.00073066977,0.0008748874,0.0009885762,0.00042553575,0.00072540244,0.0021284746,0.0014619847,0.003286188],"category_scores_gemma":[0.0010141312,0.0005580992,0.00092562556,0.0009998288,0.00045851062,0.0009795144,0.0014848928,0.0016239594,0.00088891166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001472791,0.00020557617,0.0020915912,0.00008259813,0.00012244862,0.00009756313,0.00004143365,0.59192085,0.0039236657,0.0062088696,0.0076688025,0.3874894],"study_design_scores_gemma":[0.0000028219895,0.00000923861,0.000110805246,0.0000034104385,0.000004702493,0.000005869881,0.000002937804,0.9973506,0.0002749671,0.0019485475,0.00028421677,0.0000019441788],"about_ca_topic_score_codex":0.013842205,"about_ca_topic_score_gemma":0.018190306,"teacher_disagreement_score":0.013842205,"about_ca_system_score_codex":0.0008254243,"about_ca_system_score_gemma":0.0011182304,"threshold_uncertainty_score":0.02752328},"labels":[],"label_agreement":null},{"id":"W3187868577","doi":"10.1007/s42461-021-00477-w","title":"Blasted Ore Losses and Mineral Reserve: Reconciliation Approaches and Impact on Stope Performance","year":2021,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Mining engineering; Closure (psychology); Process (computing); Work (physics); Engineering; Environmental science; Computer science; Mechanical engineering; Law","score_opus":0.0764028045830722,"score_gpt":0.2510929925449353,"score_spread":0.17469018796186309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187868577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96743876,0.0003191937,0.0116806375,0.0010797813,0.000038995637,0.000082840204,0.00054194714,0.00016610337,0.018651856],"genre_scores_gemma":[0.99496377,0.000054155,0.0016816268,0.00003257148,0.000011056046,0.000018963587,0.00020632842,0.000031550215,0.0030000648],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964838,0.0013423053,0.00016212671,0.00046993923,0.0010575498,0.00048425363],"domain_scores_gemma":[0.99342334,0.0032542695,0.0008597972,0.00072978146,0.0014766579,0.0002562232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067888233,0.0004641414,0.0009454186,0.003105493,0.00081284204,0.006196451,0.0020287132,0.0014535679,0.0027526987],"category_scores_gemma":[0.014517627,0.00035185815,0.0007641777,0.0023855462,0.0010787541,0.0031846112,0.0031675294,0.0010112369,0.00044419532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004465015,0.0009071389,0.42386976,0.00029638986,0.0013299641,0.0009367722,0.0027294208,0.2655985,0.007420655,0.046271455,0.0033852449,0.24278966],"study_design_scores_gemma":[0.000119970035,0.0013693621,0.57711613,0.0001431851,0.0004929074,0.00040161583,0.009212017,0.36328265,0.01180159,0.025648924,0.010228967,0.00018269432],"about_ca_topic_score_codex":0.0064447247,"about_ca_topic_score_gemma":0.009917546,"teacher_disagreement_score":0.0067888233,"about_ca_system_score_codex":0.0023397862,"about_ca_system_score_gemma":0.002209345,"threshold_uncertainty_score":0.035903156},"labels":[],"label_agreement":null},{"id":"W3194027934","doi":"10.1080/25726668.2021.1886544","title":"Procedure for estimating broken ore density distribution within a draw column during block caving","year":2021,"lang":"en","type":"article","venue":"Mining Technology Transactions of the Institutions of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Cave; Geology; Block (permutation group theory); Spark plug; Geotechnical engineering; Mining engineering; Engineering; Geometry; Mathematics; Geography; Mechanical engineering","score_opus":0.013240229114971294,"score_gpt":0.23053645932618064,"score_spread":0.21729623021120933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194027934","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1795565,0.00007996509,0.8128955,0.000043424097,0.0000150263695,0.0015615608,0.0018677025,0.001242116,0.0027382288],"genre_scores_gemma":[0.3065742,0.00009746213,0.6874762,0.000022588503,0.0000052681494,0.0015277487,0.0020590157,0.000097439544,0.002140174],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990546,0.00013819874,0.00008515883,0.00023169482,0.000413421,0.000076984055],"domain_scores_gemma":[0.99757797,0.00096097967,0.00034824864,0.00019306615,0.00085318316,0.00006671118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001515491,0.0005008672,0.0005668384,0.0027451562,0.0007575687,0.00095453026,0.0009239035,0.0005572575,0.003927699],"category_scores_gemma":[0.006689463,0.00036209592,0.00043328045,0.0016487946,0.00047759362,0.00045940728,0.0009782689,0.0005928885,0.0013350422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058884616,0.0005101959,0.23961289,0.00043803902,0.0001113479,0.0004555087,0.0013357996,0.043584514,0.09357851,0.0050567472,0.0022809368,0.6124466],"study_design_scores_gemma":[0.00008016704,0.0014296426,0.36964804,0.00013888646,0.00012746628,0.0007014501,0.0029173747,0.5060694,0.10252528,0.0053550457,0.010708094,0.0002991993],"about_ca_topic_score_codex":0.010856849,"about_ca_topic_score_gemma":0.016210467,"teacher_disagreement_score":0.010856849,"about_ca_system_score_codex":0.00061616034,"about_ca_system_score_gemma":0.001728199,"threshold_uncertainty_score":0.021587312},"labels":[],"label_agreement":null},{"id":"W3195879356","doi":"10.1007/s11004-021-09971-9","title":"Quantifying Mineral Resources and Their Uncertainty Using Two Existing Machine Learning Methods","year":2021,"lang":"en","type":"article","venue":"Mathematical Geosciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Fonds Québécois de la Recherche sur la Nature et les Technologies; National Research Council Canada; Polytechnique Montréal","keywords":"Variogram; Kriging; Geostatistics; Statistics; Tonnage; Computer science; Data mining; Mathematics; Econometrics; Geology; Spatial variability","score_opus":0.10694647013841087,"score_gpt":0.3626724595676287,"score_spread":0.25572598942921787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195879356","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011149157,0.000706193,0.98556453,0.00028307494,0.00004818337,0.000024461335,0.00017394859,0.00013004661,0.0019203648],"genre_scores_gemma":[0.45661047,0.0017614139,0.5352702,0.00021076127,0.00038792114,0.00019362198,0.0005806577,0.000110865076,0.0048740804],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805343,0.00039973253,0.00016133643,0.00044974525,0.0008309266,0.00010488375],"domain_scores_gemma":[0.99427986,0.0034319337,0.00075740967,0.00065644237,0.0007726385,0.000101628895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031580445,0.0014149857,0.0012543346,0.0037011448,0.0007195902,0.003526856,0.0019702953,0.0016271145,0.0011837047],"category_scores_gemma":[0.011483051,0.00046018284,0.0016460889,0.0026624189,0.0017203154,0.0040806644,0.0025848805,0.0014967516,0.0002828988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001265161,0.00013281274,0.006223921,0.00028170904,0.0002652029,0.00006963481,0.000118048396,0.69275814,0.0026642375,0.07705898,0.0008096493,0.21949126],"study_design_scores_gemma":[0.0000072914145,0.0000341753,0.0015801437,0.000025958565,0.000035208726,0.000045042096,0.000025261605,0.95125437,0.00220279,0.043072905,0.0016856664,0.000031156425],"about_ca_topic_score_codex":0.004511662,"about_ca_topic_score_gemma":0.0037783128,"teacher_disagreement_score":0.004511662,"about_ca_system_score_codex":0.0014258682,"about_ca_system_score_gemma":0.0019085875,"threshold_uncertainty_score":0.01670158},"labels":[],"label_agreement":null},{"id":"W3196239349","doi":"10.1007/s11004-021-09969-3","title":"A Hybrid Estimation Technique Using Elliptical Radial Basis Neural Networks and Cokriging","year":2021,"lang":"en","type":"article","venue":"Mathematical Geosciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Kriging; Geostatistics; Artificial neural network; Gaussian; Computer science; Radial basis function; Algorithm; Data mining; Mathematical optimization; Machine learning; Mathematics; Statistics; Spatial variability","score_opus":0.01795085686238036,"score_gpt":0.25018242249612127,"score_spread":0.23223156563374092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196239349","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011693032,0.00015128471,0.98719645,0.000022508715,0.00003353216,0.000014871125,0.00002098389,0.0004819883,0.0003853381],"genre_scores_gemma":[0.24581988,0.00027427156,0.7506261,0.00004206303,0.000039735478,0.00006463652,0.0001626247,0.00013363015,0.002837168],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933594,0.00014227012,0.000041370524,0.00017094378,0.0002508652,0.000058569407],"domain_scores_gemma":[0.99905986,0.0003211129,0.00008222164,0.00008619754,0.00042916706,0.000021380216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097487995,0.0007893239,0.0010749256,0.0009567851,0.00045403192,0.00071268197,0.0010150645,0.00087381847,0.0009846874],"category_scores_gemma":[0.0018969923,0.0006785344,0.00074070186,0.0013659371,0.00028910273,0.0011650926,0.00065784925,0.00084180455,0.0005780086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002719921,0.00018358644,0.0034377286,0.00021967517,0.00022113182,0.00008864657,0.00014353728,0.3856561,0.03650776,0.004283101,0.0012438006,0.567743],"study_design_scores_gemma":[0.0000065080185,0.000025451578,0.00073315017,0.000006251213,0.000024474748,0.000031672465,0.000010587479,0.9929703,0.0051350933,0.00027843754,0.00076055794,0.000017511024],"about_ca_topic_score_codex":0.014586718,"about_ca_topic_score_gemma":0.020184677,"teacher_disagreement_score":0.014586718,"about_ca_system_score_codex":0.00039606908,"about_ca_system_score_gemma":0.0011263003,"threshold_uncertainty_score":0.02900362},"labels":[],"label_agreement":null},{"id":"W3196529601","doi":"10.4095/327991","title":"Automated indicator-mineral analysis of the fine-sand heavy-mineral concentrate fraction of till: a promising exploration tool for porphyry copper mineralization","year":2021,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Mineralization (soil science); Porphyry copper deposit; Copper; Copper mine; Heavy mineral; Mineral; Environmental science; Geology; Geochemistry; Metallurgy; Soil science; Soil water; Materials science; Fluid inclusions; Hydrothermal circulation","score_opus":0.033282059582216,"score_gpt":0.29006103431510016,"score_spread":0.25677897473288414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196529601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9575745,0.0004728541,0.037630573,0.000052335006,0.0000071649915,0.00010137069,0.00090680725,0.00080481917,0.0024496398],"genre_scores_gemma":[0.91396797,0.00032802255,0.081955604,0.000039756324,0.000008194985,0.00007513005,0.0007629717,0.00010024196,0.0027622266],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980253,0.000014053232,0.000010274134,0.00005425245,0.00009170004,0.000027229367],"domain_scores_gemma":[0.9997621,0.000037443726,0.00006929905,0.000026516682,0.000082152175,0.000022607865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026191972,0.00026634708,0.00026386324,0.0012421713,0.00038727155,0.0005382772,0.00040349134,0.00022854785,0.0009069809],"category_scores_gemma":[0.00034685293,0.00019511819,0.00011242444,0.00074452325,0.00024277202,0.00026325465,0.00034403536,0.00018708395,0.00034712235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007684578,0.000028094104,0.029461462,0.000075759155,0.00001825491,0.00008127004,0.000073635936,0.000318602,0.9450446,0.00009521559,0.0001478365,0.02457849],"study_design_scores_gemma":[0.000014628471,0.0000991254,0.42915922,0.000014977489,0.00004044493,0.00053062936,0.0001310016,0.013387451,0.55261016,0.00016794489,0.0038113005,0.000033169108],"about_ca_topic_score_codex":0.017566504,"about_ca_topic_score_gemma":0.05189331,"teacher_disagreement_score":0.017566504,"about_ca_system_score_codex":0.0004994486,"about_ca_system_score_gemma":0.0007468445,"threshold_uncertainty_score":0.0349285},"labels":[],"label_agreement":null},{"id":"W3197083411","doi":"","title":"Multi Modal Failure Mechanism in Open Pit Mines Using LEM and FEM Approaches","year":2021,"lang":"en","type":"article","venue":"55th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Rocscience (Canada)","funders":"","keywords":"Finite element method; Modal; Mechanism (biology); Geology; Forensic engineering; Engineering; Structural engineering; Physics; Materials science","score_opus":0.04595628396553005,"score_gpt":0.24175365022760922,"score_spread":0.19579736626207916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197083411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5639532,0.00040486726,0.41853234,0.00024338775,0.00004478552,0.000063669875,0.00021679437,0.00053087284,0.01601011],"genre_scores_gemma":[0.98819447,0.00007110396,0.009646967,0.000014814045,0.000006500243,0.000021985677,0.000044652665,0.000020440206,0.0019792158],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998572,0.000030499643,0.00000700926,0.000025185964,0.00005456062,0.000025542215],"domain_scores_gemma":[0.9996592,0.000139633,0.000044042692,0.000040445997,0.00009608338,0.000020582242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046079495,0.0003126644,0.0003584083,0.00092780474,0.00027634832,0.00046435956,0.0007603782,0.0007629683,0.0027627216],"category_scores_gemma":[0.0007901724,0.00027127174,0.00037958895,0.00033240268,0.000488642,0.0008701555,0.0005782449,0.0003502736,0.00035743188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014351997,0.00013936764,0.008380476,0.00012269382,0.00003431626,0.00026556413,0.00024064773,0.90980285,0.026643494,0.010701607,0.00071014476,0.04281531],"study_design_scores_gemma":[0.0000014423196,0.000008821993,0.001295712,0.000004821502,0.0000018450083,0.00002035263,0.000031920335,0.997224,0.0003292592,0.000964599,0.000112459275,0.0000048640145],"about_ca_topic_score_codex":0.0032582018,"about_ca_topic_score_gemma":0.004394347,"teacher_disagreement_score":0.0032582018,"about_ca_system_score_codex":0.0003169877,"about_ca_system_score_gemma":0.00028705545,"threshold_uncertainty_score":0.009242296},"labels":[],"label_agreement":null},{"id":"W3198888384","doi":"10.3390/min11030239","title":"Surface Chemical Heterogeneity of Low Rank Coal Characterized by Micro-FTIR and Its Correlation with Hydrophobicity","year":2021,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions","keywords":"Fourier transform infrared spectroscopy; Coal; Chemistry; Contact angle; Carbon fibers; Rank (graph theory); Analytical Chemistry (journal); Functional group; Materials science; Mathematics; Organic chemistry; Chemical engineering; Composite number; Composite material","score_opus":0.009326468852789527,"score_gpt":0.2099262634359671,"score_spread":0.20059979458317756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198888384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976011,0.00008583797,0.0020341957,0.000007458924,0.0000015980446,0.0000043857867,0.00004914662,0.000008735523,0.00020759096],"genre_scores_gemma":[0.9988201,0.000049682836,0.0008814984,0.0000040500645,0.0000015002844,0.0000035643563,0.00004757817,0.0000023629318,0.00018951921],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998605,0.00001631807,0.0000063399134,0.000026823911,0.000071002076,0.000018918552],"domain_scores_gemma":[0.9998259,0.00005448866,0.000046923855,0.000009377578,0.00004601986,0.00001733709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016431937,0.00015464329,0.00013734416,0.0006416209,0.00012439546,0.0002117345,0.000092827424,0.00018135774,0.0005056816],"category_scores_gemma":[0.0003270856,0.00009122123,0.00011422037,0.00023325683,0.00021787905,0.0002396512,0.00013012621,0.00013378105,0.000095179006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009652551,0.000018895305,0.015242093,0.000034107015,0.000008446379,0.000079513535,0.000054894612,0.00043285688,0.98059237,0.00006792001,0.000016628775,0.0033557895],"study_design_scores_gemma":[0.0000064132414,0.00024278463,0.24758801,0.0000063610396,0.000032420994,0.0005022058,0.00036045685,0.016470337,0.73395675,0.00027130137,0.0005402281,0.00002267665],"about_ca_topic_score_codex":0.00083723915,"about_ca_topic_score_gemma":0.0010646578,"teacher_disagreement_score":0.00083723915,"about_ca_system_score_codex":0.00008549451,"about_ca_system_score_gemma":0.00006731539,"threshold_uncertainty_score":0.001691699},"labels":[],"label_agreement":null},{"id":"W3203702047","doi":"10.4236/jmmce.2021.95035","title":"Morphology Study of Particle Breakage Mechanisms in a Horizontal Stirred Mill: Automated and Manual Point Counting Approaches","year":2021,"lang":"en","type":"article","venue":"Journal of Minerals and Materials Characterization and Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Waterloo","funders":"","keywords":"Breakage; Agitator; Grinding; Metallurgy; Materials science; Comminution; Abrasion (mechanical); Particle (ecology); Mineral processing; Grind; Composite material; Mineralogy; Geology","score_opus":0.014658441717525105,"score_gpt":0.21024467071139727,"score_spread":0.19558622899387215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203702047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9657548,0.00043003837,0.032053903,0.000021587692,0.000016198252,0.000043544755,0.00016839991,0.00021828302,0.0012932582],"genre_scores_gemma":[0.96185625,0.00031251635,0.03551167,0.000022358758,0.0000103777365,0.000046012276,0.0002564705,0.00004142031,0.0019428072],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996057,0.000020662008,0.00002333232,0.00009720828,0.00022316608,0.000029903858],"domain_scores_gemma":[0.9993765,0.000159124,0.00014366527,0.00008840432,0.00020035761,0.000031948628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003042995,0.00016500503,0.00017888361,0.0007994202,0.00024445343,0.00033146248,0.00039030702,0.0003684277,0.0008437913],"category_scores_gemma":[0.00043323133,0.00022383171,0.0002375501,0.00046655998,0.00030307798,0.00033241723,0.00020512872,0.00037245287,0.00025412926],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009849922,0.000049236533,0.0069623915,0.00005617494,0.000010935906,0.00007450067,0.00022224234,0.00027862945,0.9779434,0.00011296244,0.000057798774,0.014133227],"study_design_scores_gemma":[0.00001898113,0.0004964788,0.13591985,0.000009746231,0.000044694556,0.00046621772,0.00032981182,0.013224525,0.8475684,0.00014594432,0.0017400271,0.000035391455],"about_ca_topic_score_codex":0.0013202948,"about_ca_topic_score_gemma":0.002633433,"teacher_disagreement_score":0.0013202948,"about_ca_system_score_codex":0.0002479706,"about_ca_system_score_gemma":0.0001560362,"threshold_uncertainty_score":0.0028227568},"labels":[],"label_agreement":null},{"id":"W3210981688","doi":"10.1515/npprj-2021-0058","title":"Interpretation of force profiles in mill-scale LC refining","year":2021,"lang":"en","type":"article","venue":"Nordic Pulp & Paper Research Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Catalyst Paper (Canada); University of British Columbia; University of Victoria","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Stator; Bar (unit); Shear force; Work (physics); Force dynamics; Mechanics; Compression (physics); Normal force; Materials science; Acoustics; Mechanical engineering; Composite material; Physics; Engineering","score_opus":0.03427980879475945,"score_gpt":0.3356372487308862,"score_spread":0.30135743993612674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210981688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9780893,0.00019435844,0.019124888,0.000035094872,0.000013898896,0.00004160515,0.00051075045,0.00049563905,0.0014944375],"genre_scores_gemma":[0.9896611,0.00006879787,0.009133981,0.000012101105,0.000005105015,0.00001406921,0.00020197843,0.000041664825,0.0008612352],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975425,0.000015871658,0.00000994584,0.00004665251,0.00014570008,0.000027584947],"domain_scores_gemma":[0.9994319,0.00020055685,0.00010826207,0.000049247425,0.00016559509,0.000044319237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023608358,0.00023496551,0.0002811808,0.0014232316,0.0002529771,0.00025700007,0.0003334151,0.0003401922,0.0024149641],"category_scores_gemma":[0.00065262953,0.00015230305,0.0001245602,0.000746915,0.00021771852,0.0002833974,0.00015752997,0.0003073528,0.0003081065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006404502,0.00014384241,0.015784236,0.00014218653,0.000014144626,0.00031477425,0.00032319574,0.0018032293,0.91696584,0.00014068608,0.0004222449,0.063305266],"study_design_scores_gemma":[0.000023575552,0.00061141734,0.3121715,0.00002500288,0.000017704553,0.0007982679,0.00047837413,0.030992541,0.6523316,0.00021091745,0.0022816437,0.00005742751],"about_ca_topic_score_codex":0.0016623765,"about_ca_topic_score_gemma":0.0022258053,"teacher_disagreement_score":0.0024149641,"about_ca_system_score_codex":0.00025011713,"about_ca_system_score_gemma":0.00013156954,"threshold_uncertainty_score":0.008078873},"labels":[],"label_agreement":null},{"id":"W3211081332","doi":"10.3390/min11111180","title":"Understanding the Effect of Stepwise Irrigation on Liquid Holdup and Hysteresis Behavior of Unsaturated Ore Heap","year":2021,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; Higher Education Discipline Innovation Project; China Scholarship Council; University of British Columbia; National Natural Science Foundation of China","keywords":"Porosity; Liquid flow; Heap leaching; Packed bed; Residual; Materials science; Volumetric flow rate; Particle size; Leaching (pedology); Hysteresis; Irrigation; Chemistry; Chromatography; Composite material; Soil science; Metallurgy; Mechanics; Soil water; Environmental science; Mathematics; Copper","score_opus":0.041173918977359426,"score_gpt":0.2533653118228567,"score_spread":0.2121913928454973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211081332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927989,0.00046291004,0.0060991617,0.000036902555,0.0000069699427,0.000015807029,0.00010510383,0.00007190696,0.00040230865],"genre_scores_gemma":[0.9948961,0.0002965894,0.0044396883,0.00003573229,0.0000032871462,0.000019375482,0.000074977885,0.000013521301,0.00022076604],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998735,0.00001277801,0.000014127575,0.00003198336,0.000036948175,0.000030602092],"domain_scores_gemma":[0.999785,0.000083813,0.000058316928,0.00001575758,0.000042670785,0.000014497028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020067382,0.00019856458,0.00017622682,0.00016486002,0.00010932934,0.00026916384,0.00019501682,0.00022138389,0.00034289766],"category_scores_gemma":[0.00060781837,0.000114864124,0.00016974822,0.00018108575,0.0002638245,0.0006168387,0.00022912299,0.00032106627,0.000058666014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091475995,0.000016276696,0.0036375865,0.00008844412,0.00000484652,0.000053435946,0.00008404555,0.00042810894,0.9872699,0.000047555113,0.000024703619,0.008253727],"study_design_scores_gemma":[0.000006715146,0.0002792914,0.030975364,0.0000108939175,0.000025368618,0.0000744166,0.00022698607,0.0064815553,0.96080995,0.00009691585,0.0009888103,0.000023629944],"about_ca_topic_score_codex":0.0011479346,"about_ca_topic_score_gemma":0.0017531243,"teacher_disagreement_score":0.0011479346,"about_ca_system_score_codex":0.0001582318,"about_ca_system_score_gemma":0.00023749303,"threshold_uncertainty_score":0.0022825003},"labels":[],"label_agreement":null},{"id":"W3211446069","doi":"10.1115/1.4052780","title":"Exploring an Energy-Based Model in Comminution","year":2021,"lang":"en","type":"article","venue":"Journal of Tribology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Comminution; Abrasion (mechanical); Breakage; Energy (signal processing); Process (computing); Process engineering; Efficient energy use; Materials science; Environmental science; Computer science; Engineering; Metallurgy; Composite material; Mathematics; Statistics","score_opus":0.13876936245072766,"score_gpt":0.26221144082319564,"score_spread":0.12344207837246798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211446069","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22150482,0.00074044394,0.7276473,0.0017256025,0.00012121377,0.0001930512,0.00043098637,0.00029894392,0.04733762],"genre_scores_gemma":[0.9619636,0.00033168957,0.023453241,0.00010724356,0.00002457433,0.00018985433,0.00014941426,0.00008237782,0.013698],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996792,0.00009399645,0.000013247327,0.00007240204,0.00007708965,0.00006407446],"domain_scores_gemma":[0.9992454,0.0004820925,0.00006961315,0.00004884556,0.000113548536,0.00004062381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077395554,0.00074029574,0.0008409935,0.00073959376,0.0008188253,0.0018974743,0.001856163,0.0025030905,0.0048233885],"category_scores_gemma":[0.00204027,0.00050432945,0.0008886466,0.0006276811,0.001113183,0.0018925375,0.00097365276,0.0014367856,0.00048079286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018962035,0.0000445095,0.0004691379,0.000024727806,0.0000071065465,0.000057697984,0.000032136435,0.9818786,0.0010537347,0.014421011,0.00013995182,0.0018524901],"study_design_scores_gemma":[0.0000019138852,0.0000060015955,0.00006273082,0.00000245661,0.0000015575691,0.0000048114102,0.000007590628,0.9976063,0.000107933716,0.0020261721,0.0001702196,0.0000023600332],"about_ca_topic_score_codex":0.013797895,"about_ca_topic_score_gemma":0.0073492033,"teacher_disagreement_score":0.013797895,"about_ca_system_score_codex":0.0015532144,"about_ca_system_score_gemma":0.0011232632,"threshold_uncertainty_score":0.027435184},"labels":[],"label_agreement":null},{"id":"W3213782900","doi":"10.3390/min11111257","title":"Applied Machine Learning for Geometallurgical Throughput Prediction—A Case Study Using Production Data at the Tropicana Gold Mining Complex","year":2021,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Comminution; Artificial neural network; Predictive modelling; Computer science; Throughput; Ball mill; Process engineering; Data mining; Machine learning; Engineering; Materials science","score_opus":0.12736589486319289,"score_gpt":0.3092119211801594,"score_spread":0.1818460263169665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213782900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98660684,0.00022848682,0.010244133,0.00024675223,0.000012207162,0.000051834268,0.00076871086,0.00024278773,0.0015980696],"genre_scores_gemma":[0.9897926,0.00013097734,0.008135081,0.000014813741,0.000008430905,0.0000273974,0.0008369828,0.000017259594,0.0010365117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955744,0.00012730609,0.00003543209,0.000108222914,0.00012221698,0.000049388935],"domain_scores_gemma":[0.99863845,0.00088478834,0.00010469882,0.00010400449,0.00022760146,0.000040508057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066236,0.00076858146,0.00048483384,0.001025693,0.00049537205,0.0007564678,0.0005984018,0.000864434,0.000802431],"category_scores_gemma":[0.0018671989,0.00019228653,0.0004686545,0.0015790045,0.00041060464,0.0004654985,0.00039179332,0.0006261921,0.00022556727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024850323,0.0005101066,0.07166333,0.0002921501,0.000104146275,0.0021429092,0.0003728391,0.8361155,0.004651968,0.0007678632,0.001722835,0.081407875],"study_design_scores_gemma":[0.0000151229515,0.00013643198,0.03077849,0.000016193333,0.000017536104,0.000117401585,0.00034976684,0.96273816,0.003989576,0.00040924226,0.0014131453,0.000018917917],"about_ca_topic_score_codex":0.05705781,"about_ca_topic_score_gemma":0.05280168,"teacher_disagreement_score":0.05705781,"about_ca_system_score_codex":0.0012541405,"about_ca_system_score_gemma":0.0006491418,"threshold_uncertainty_score":0.11345136},"labels":[],"label_agreement":null},{"id":"W3215217539","doi":"10.14710/9.2.6-13","title":"Effect of cement kiln dust, lime and fly ash on metal leaching characteristics of oil sands tailings from Alberta, Canada","year":2021,"lang":"en","type":"article","venue":"Waste Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tailings; Leaching (pedology); Fly ash; Portland cement; Amendment; Lime; Toxicity characteristic leaching procedure; Environmental science; Cement; Slurry; Oil sands; Waste management; Cement kiln; Metallurgy; Asphalt; Mining engineering; Geology; Environmental engineering; Materials science; Metal; Soil water; Engineering","score_opus":0.0029555678044577696,"score_gpt":0.18328210150761454,"score_spread":0.18032653370315677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215217539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977047,0.00025939563,0.0001566774,0.00003500332,0.000007849491,0.000032589334,0.0005066254,0.000011691493,0.0012854886],"genre_scores_gemma":[0.9899665,0.0007384229,0.001069696,0.00008242649,0.0000043644923,0.00001578892,0.001095764,0.000016557524,0.0070103994],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995869,0.000019858377,0.000026017997,0.00006402713,0.00022755336,0.000075724674],"domain_scores_gemma":[0.99953306,0.00003442428,0.000043827145,0.0000074371933,0.00030088122,0.00008039702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003318122,0.0004659922,0.00043971904,0.0010979851,0.001546231,0.0011056783,0.00048215434,0.00033975075,0.0010920173],"category_scores_gemma":[0.00034586235,0.0001965307,0.00044947563,0.00094653893,0.0005212784,0.00018416243,0.00034124803,0.00034618925,0.00026167688],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023253774,0.00059300766,0.11137947,0.0005524422,0.00014476076,0.0012202978,0.0011317052,0.0020646201,0.8471359,0.000151089,0.00082825875,0.032473072],"study_design_scores_gemma":[0.00004388069,0.0017820909,0.66666764,0.00010007215,0.00024330235,0.0003467151,0.0045629023,0.0024537493,0.3124717,0.00009519402,0.011136267,0.00009651335],"about_ca_topic_score_codex":0.8337354,"about_ca_topic_score_gemma":0.94630355,"teacher_disagreement_score":0.1662646,"about_ca_system_score_codex":0.004805849,"about_ca_system_score_gemma":0.0058607943,"threshold_uncertainty_score":0.3344875},"labels":[],"label_agreement":null},{"id":"W35071370","doi":"10.3389/fcvm.2021.810105","title":"Dry grinding behaviour of Fe and SiO2 in specially designed Dual Drive Planetary Ball Mill","year":2014,"lang":"en","type":"dissertation","venue":"Frontiers in Cardiovascular Medicine","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ball mill; Materials science; Metallurgy; Brittleness; Grinding; Particle size; Mill; Ball (mathematics); Mechanochemistry; Cold welding; Welding; Composite material; Mechanical engineering; Engineering; Chemical engineering; Nanotechnology","score_opus":0.006259145295862678,"score_gpt":0.1998888484334125,"score_spread":0.19362970313754982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W35071370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7112195,0.27587742,0.0053913896,0.0004870385,0.0006575493,0.0005779656,0.0013619061,0.00009536101,0.004331773],"genre_scores_gemma":[0.9373092,0.046833534,0.012165315,0.000394075,0.00015894185,0.00036637404,0.00047386627,0.000044904908,0.0022539096],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979569,0.0007672743,0.0002804931,0.000364728,0.0005329844,0.000097594784],"domain_scores_gemma":[0.99780196,0.0011375265,0.0006139694,0.00014914236,0.00025608655,0.00004126505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041282945,0.0007302646,0.0012792723,0.0013825512,0.0002919743,0.00074649585,0.0007381947,0.0006804466,0.0024996772],"category_scores_gemma":[0.005859566,0.0005932853,0.0033779973,0.0008475339,0.00031902076,0.0007848918,0.00060452207,0.00053196406,0.00026062317],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.04613478,0.0017982462,0.045447774,0.14817241,0.040984996,0.00078486843,0.0011354951,0.012643316,0.30546245,0.001829734,0.005062318,0.3905436],"study_design_scores_gemma":[0.006126996,0.063634075,0.18964414,0.009924314,0.09448592,0.0016429569,0.0012822865,0.019703431,0.52591026,0.0039193216,0.08308805,0.00063823146],"about_ca_topic_score_codex":0.0016210149,"about_ca_topic_score_gemma":0.0049700043,"teacher_disagreement_score":0.0041282945,"about_ca_system_score_codex":0.0004933524,"about_ca_system_score_gemma":0.00041050912,"threshold_uncertainty_score":0.021832764},"labels":[],"label_agreement":null},{"id":"W4206499066","doi":"10.1007/s11053-021-09998-z","title":"Effect of Blast Movement Uncertainty on Dig-Limits Optimization in Open-Pit Mines","year":2022,"lang":"en","type":"article","venue":"Natural Resources Research","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Blast furnace; Engineering; Probabilistic logic; Mining engineering; Computer science","score_opus":0.027867548745943604,"score_gpt":0.3429394849322311,"score_spread":0.3150719361862875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206499066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89945847,0.00058434636,0.08888348,0.0005217666,0.000047910573,0.000052521755,0.0002725067,0.00017821694,0.010000765],"genre_scores_gemma":[0.9962179,0.0000337077,0.0029224423,0.000017928662,0.000002364908,0.000007837698,0.000036049656,0.000012239432,0.00074942556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996766,0.00011265161,0.000014839179,0.000049543763,0.00005212662,0.000094302115],"domain_scores_gemma":[0.9973683,0.0020874674,0.00015990649,0.00006769834,0.00018624193,0.0001305349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014104693,0.0006258484,0.0011873912,0.00053291715,0.00047514203,0.0010944486,0.00072503963,0.0016143081,0.0018682897],"category_scores_gemma":[0.003819578,0.0006173798,0.0005389721,0.00044544108,0.0006963853,0.0010430033,0.0009536603,0.0008253228,0.000114767776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000465725,0.000014590429,0.0003503941,0.000009558696,0.0000068489894,0.000025732781,0.000005807907,0.9979265,0.0001680762,0.0002661228,0.000050957035,0.0011287649],"study_design_scores_gemma":[0.0000068650343,0.000039615974,0.0003705862,0.0000037356522,0.0000053815766,0.000005520936,0.000019244912,0.9989145,0.00021692667,0.00035879228,0.00005565063,0.000003151981],"about_ca_topic_score_codex":0.01031654,"about_ca_topic_score_gemma":0.008513557,"teacher_disagreement_score":0.01031654,"about_ca_system_score_codex":0.00081798894,"about_ca_system_score_gemma":0.0008560124,"threshold_uncertainty_score":0.020512998},"labels":[],"label_agreement":null},{"id":"W4206502276","doi":"10.1007/s40831-021-00476-7","title":"Enhanced Gold Recovery from Alkaline Pressure Oxidized Refractory Gold Ore After its Mechanical Activation Followed by Thiosulfate Leaching","year":2022,"lang":"en","type":"article","venue":"Journal of Sustainable Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Leaching (pedology); Metallurgy; Thiosulfate; Passivation; Ball mill; Gold cyanidation; Sulfide; Grinding; Chemistry; Materials science; Gold extraction; Particle size; Sulfur; Cyanide; Composite material; Layer (electronics)","score_opus":0.007263658867293933,"score_gpt":0.2115612216766696,"score_spread":0.20429756280937567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206502276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977483,0.00021640229,0.0008057814,0.000039702325,0.000025390811,0.0000087159815,0.000042410316,0.000035176796,0.0010781544],"genre_scores_gemma":[0.9974503,0.00007730179,0.0005206458,0.000015047988,0.0000034636755,0.000004076042,0.000032651413,0.0000066674374,0.0018898776],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999895,0.0000075882817,0.00000775536,0.000019299658,0.000037520953,0.000032834145],"domain_scores_gemma":[0.99993896,0.000011575275,0.000013157685,0.000009151549,0.000017861988,0.00000936725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012437683,0.00024233818,0.00026769584,0.00016029342,0.00019074186,0.00023664969,0.00020676265,0.00033801343,0.0011251239],"category_scores_gemma":[0.00018297622,0.00015102985,0.00027685915,0.0001244358,0.0001997535,0.00018882175,0.00022262597,0.00031350018,0.00026820268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017309104,0.000012222907,0.00011024005,0.000050111856,0.0000061018122,0.0000926033,0.000045319586,0.00008605653,0.9976947,0.000056488614,0.000058261972,0.001614843],"study_design_scores_gemma":[0.000010081028,0.00015833986,0.001011206,0.0000026592681,0.000007817916,0.000069471986,0.0000296586,0.00053517765,0.9976301,0.00002129742,0.00051899196,0.0000051197862],"about_ca_topic_score_codex":0.0007258322,"about_ca_topic_score_gemma":0.0026369798,"teacher_disagreement_score":0.0011251239,"about_ca_system_score_codex":0.00017731467,"about_ca_system_score_gemma":0.00018573012,"threshold_uncertainty_score":0.003763914},"labels":[],"label_agreement":null},{"id":"W4210413435","doi":"10.3390/met12020225","title":"Discrete Event Simulation for Machine-Learning Enabled Mine Production Control with Application to Gold Processing","year":2022,"lang":"en","type":"article","venue":"Metals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Production (economics); Mineral processing; Computer science; Control (management); Event (particle physics); Point (geometry); Discrete event simulation; Artificial intelligence; Industrial engineering; Machine learning; Mining engineering; Data science; Engineering; Simulation","score_opus":0.00888862233852168,"score_gpt":0.24369758394807117,"score_spread":0.2348089616095495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210413435","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07484312,0.00025961665,0.9162301,0.00033417306,0.0000776813,0.00010718373,0.00015946983,0.00061037706,0.0073782806],"genre_scores_gemma":[0.96510845,0.00012079246,0.032589562,0.000040822488,0.00001635406,0.000114970695,0.00009174878,0.000031615225,0.0018856381],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997024,0.00011869787,0.000019236155,0.00005432638,0.000062376515,0.000043065924],"domain_scores_gemma":[0.9981133,0.0014028794,0.00014572043,0.00006560497,0.00019381616,0.00007867087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009354446,0.0006952623,0.0007916534,0.00048437717,0.00045215702,0.0010241717,0.00094389886,0.0010383546,0.002852492],"category_scores_gemma":[0.0025188122,0.0003772468,0.0007710331,0.00037327627,0.0006559129,0.00053647655,0.0009877806,0.001236694,0.00019396849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012549379,0.000008511783,0.000201624,0.000006941115,0.000005026523,0.000010577902,0.0000055093687,0.99778974,0.00008401838,0.0009208967,0.000024660612,0.0009299095],"study_design_scores_gemma":[0.0000012104732,0.0000033611464,0.000019767613,6.251672e-7,7.217396e-7,8.567143e-7,0.0000012089469,0.9996617,0.00004000864,0.00022604656,0.00004391534,6.488298e-7],"about_ca_topic_score_codex":0.016330618,"about_ca_topic_score_gemma":0.009045039,"teacher_disagreement_score":0.016330618,"about_ca_system_score_codex":0.001050522,"about_ca_system_score_gemma":0.0010349809,"threshold_uncertainty_score":0.03247112},"labels":[],"label_agreement":null},{"id":"W4210675385","doi":"10.1007/978-3-030-92563-5_50","title":"Steel Production Efficiency Improvements by Digitalization","year":2022,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Production efficiency; Efficient energy use; Industrial production; Yield (engineering); Manufacturing engineering; Quarter (Canadian coin); Engineering; Process engineering; Mechanical engineering; Economics; Metallurgy; Materials science; Electrical engineering","score_opus":0.01243779565955027,"score_gpt":0.20439586391351777,"score_spread":0.1919580682539675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210675385","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16249402,0.010161783,0.24824345,0.001968572,0.00061775965,0.00007786294,0.0009596433,0.004226953,0.57124996],"genre_scores_gemma":[0.77571726,0.009071106,0.06603132,0.00043797452,0.00036309432,0.00003964341,0.0013538394,0.00045791824,0.14652777],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998074,0.00001462991,0.000009564874,0.00004138207,0.00010124912,0.00002577472],"domain_scores_gemma":[0.9997912,0.000061063445,0.000018586998,0.000058726608,0.000063425556,0.0000070683645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018469174,0.00042181104,0.00019913433,0.0006240259,0.00013005154,0.001105515,0.0006333128,0.00042247443,0.01902879],"category_scores_gemma":[0.00041210788,0.00020343123,0.00037707045,0.0014305067,0.00030695077,0.0019390391,0.00049686694,0.00044044142,0.003787902],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022830351,0.00016392898,0.0010234899,0.00034105315,0.000037399266,0.00007779378,0.000057939702,0.036414713,0.07408207,0.03271649,0.013111425,0.8417454],"study_design_scores_gemma":[0.00011466804,0.00060819666,0.014887183,0.00016296425,0.0002233803,0.00071003655,0.0003012883,0.1851887,0.31485987,0.04516086,0.4377042,0.00007874437],"about_ca_topic_score_codex":0.0012310147,"about_ca_topic_score_gemma":0.0018071986,"teacher_disagreement_score":0.01902879,"about_ca_system_score_codex":0.0006939793,"about_ca_system_score_gemma":0.00034809316,"threshold_uncertainty_score":0.06365764},"labels":[],"label_agreement":null},{"id":"W4210774675","doi":"10.1007/978-3-030-92529-1_66","title":"Statistical Model for Forecasting the Cell Replacement Rate in an Aluminum Smelter","year":2022,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rio Tinto (Canada)","funders":"","keywords":"Life expectancy; Work (physics); Computer science; Operations research; Industrial engineering; Econometrics; Simulation; Engineering; Mechanical engineering; Mathematics; Population","score_opus":0.046083098883865976,"score_gpt":0.24701897985228616,"score_spread":0.2009358809684202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210774675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6455698,0.0012401997,0.34333175,0.0012428175,0.00021859302,0.00007224813,0.0029303597,0.0015566889,0.0038376565],"genre_scores_gemma":[0.9837287,0.00030136414,0.008946433,0.000071051,0.00006917065,0.00006511903,0.0012220518,0.000051899795,0.005544159],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997323,0.00006586648,0.000017412116,0.00008107558,0.000044910656,0.000058350124],"domain_scores_gemma":[0.9981128,0.0013758179,0.00015515549,0.00006463632,0.00024875134,0.0000427732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014120768,0.0007293966,0.0014384224,0.0007146363,0.0005031212,0.0008089912,0.001595088,0.0015326256,0.0027602832],"category_scores_gemma":[0.0022246502,0.0005320921,0.00092823233,0.00091168337,0.0004965187,0.00079579063,0.00040721506,0.0015167024,0.0006454173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007330753,0.000035477886,0.0020282161,0.000016588647,0.00002223771,0.000028578354,0.0000091681395,0.98975056,0.0004100942,0.0010612342,0.00055857684,0.006005911],"study_design_scores_gemma":[0.0000012445727,0.000005507276,0.00027614422,6.009069e-7,0.000002067704,0.0000021178869,0.0000016529646,0.9994542,0.0000517211,0.00018514498,0.00001772318,0.0000018764368],"about_ca_topic_score_codex":0.0459311,"about_ca_topic_score_gemma":0.025942395,"teacher_disagreement_score":0.0459311,"about_ca_system_score_codex":0.0011641175,"about_ca_system_score_gemma":0.0007954237,"threshold_uncertainty_score":0.09132749},"labels":[],"label_agreement":null},{"id":"W4211025570","doi":"10.1201/9781003188339-31","title":"Tunnel liner yield forecasting at Cigar Lake Mine: An input variable selection approach to understanding machine learning processes","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Rock mass classification; Yield (engineering); Convolutional neural network; Variable (mathematics); Artificial neural network; Displacement (psychology); Selection (genetic algorithm); Mining engineering; Artificial intelligence; Multivariate statistics; Machine learning; Momentum (technical analysis); Geotechnical engineering; Computer science; Geology; Algorithm; Engineering; Mathematics","score_opus":0.07440434053482817,"score_gpt":0.2175704654897941,"score_spread":0.14316612495496595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211025570","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1624594,0.0034212454,0.7979017,0.0014406998,0.00014799759,0.000057962334,0.0016578113,0.0023486041,0.030564563],"genre_scores_gemma":[0.6818417,0.003568823,0.2896564,0.00016001158,0.0002195054,0.00006652392,0.0024512212,0.00022413721,0.021811701],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994385,0.000012453944,0.00000252088,0.000014083959,0.00002190255,0.0000051342304],"domain_scores_gemma":[0.99981326,0.00012020112,0.00001681535,0.000011683533,0.00003419637,0.0000038676853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024096867,0.00046238577,0.00022535637,0.00040120268,0.00014569814,0.0006227835,0.00042666378,0.00026114326,0.0015021947],"category_scores_gemma":[0.0006442926,0.00012849602,0.00031446165,0.0006266742,0.00015417626,0.00047780422,0.00017636888,0.00053076143,0.00037975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080515405,0.00005710094,0.013035447,0.00017833369,0.000053411153,0.00024168435,0.00010931407,0.37699533,0.012738665,0.008477797,0.012483026,0.5755495],"study_design_scores_gemma":[0.0000013054909,0.000019501842,0.0042578503,0.00001904062,0.000008958994,0.000029920924,0.0000241843,0.9854393,0.0033043574,0.0035746566,0.0033145247,0.0000064398146],"about_ca_topic_score_codex":0.0074444185,"about_ca_topic_score_gemma":0.013284266,"teacher_disagreement_score":0.99255556,"about_ca_system_score_codex":0.00041268265,"about_ca_system_score_gemma":0.0002894687,"threshold_uncertainty_score":0.014802158},"labels":[],"label_agreement":null},{"id":"W4212948127","doi":"10.1002/cjce.24389","title":"<scp>DEM</scp> simulations of spherical particle–particle collisions","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Discrete element method; Breakage; Collision; Particle (ecology); Randomness; Mechanics; Materials science; Particle size; Relative velocity; Physics; Composite material; Classical mechanics; Engineering; Computer science; Geology","score_opus":0.012198688786981817,"score_gpt":0.20056240594585178,"score_spread":0.18836371715886996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212948127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83267885,0.00056895014,0.041551076,0.001653459,0.0004266851,0.00025771442,0.0057540177,0.0020315584,0.11507767],"genre_scores_gemma":[0.9825167,0.00013919926,0.011027774,0.00022108496,0.000035596848,0.00021089178,0.0016449293,0.00021952103,0.0039842557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996779,0.000064219115,0.000013217856,0.000027174172,0.000106658066,0.000110794885],"domain_scores_gemma":[0.99878544,0.00066020014,0.000076550314,0.00008809693,0.000255342,0.00013431591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005498823,0.0006368758,0.0010167917,0.0006058574,0.0013343602,0.0009369597,0.001453195,0.0020148465,0.011627123],"category_scores_gemma":[0.002050755,0.00042289693,0.0007719712,0.0011668168,0.001041643,0.0006528679,0.0009144337,0.0013626452,0.0006069249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012171425,0.00010676873,0.002369439,0.000096433956,0.00004740988,0.00027756442,0.00009682072,0.9830156,0.0010312897,0.0069626374,0.003429041,0.0024452216],"study_design_scores_gemma":[0.000043511285,0.000019855595,0.00064204406,0.000007929981,0.000004622474,0.00001316735,0.000038656504,0.99691474,0.00056208426,0.00069484103,0.0010500976,0.00000831843],"about_ca_topic_score_codex":0.032080736,"about_ca_topic_score_gemma":0.019470094,"teacher_disagreement_score":0.032080736,"about_ca_system_score_codex":0.001099677,"about_ca_system_score_gemma":0.0014490107,"threshold_uncertainty_score":0.063788},"labels":[],"label_agreement":null},{"id":"W4212980946","doi":"10.1007/978-3-030-91589-6_12","title":"Advanced Analytics for Rock Fragmentation","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Fragmentation (computing); Analytics; Chemistry; Geology; Computer science; Data science; Operating system","score_opus":0.020128757425951754,"score_gpt":0.2387596320725234,"score_spread":0.21863087464657166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212980946","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006364794,0.025819693,0.47075403,0.0022366801,0.0013987084,0.00016412813,0.002820479,0.010763513,0.4796779],"genre_scores_gemma":[0.058584116,0.024499921,0.2417855,0.00086939003,0.0010516732,0.00020800592,0.005838055,0.0020041054,0.6651593],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950624,0.00002858383,0.000013280172,0.000064234555,0.00035559092,0.00003220572],"domain_scores_gemma":[0.9996165,0.00012710957,0.000022895665,0.000083886196,0.00013091328,0.000018602599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035188295,0.0011980365,0.00067006116,0.002373271,0.00043778718,0.003031267,0.0012930792,0.00065973157,0.039641563],"category_scores_gemma":[0.0010833229,0.00043261767,0.0005018182,0.0026410688,0.00079307595,0.0036305615,0.0016049424,0.001257207,0.02138927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032215365,0.000041064777,0.0005275098,0.00026519396,0.00001722888,0.00007294524,0.00019214553,0.004833024,0.003949338,0.10410596,0.1785025,0.7074609],"study_design_scores_gemma":[0.0000055142345,0.000035451383,0.0020384362,0.00024453603,0.000016379028,0.00039575153,0.00023467458,0.025312942,0.005908373,0.24833705,0.7174318,0.000039049854],"about_ca_topic_score_codex":0.0014922575,"about_ca_topic_score_gemma":0.002273614,"teacher_disagreement_score":0.039641563,"about_ca_system_score_codex":0.00076059997,"about_ca_system_score_gemma":0.00058267807,"threshold_uncertainty_score":0.13261425},"labels":[],"label_agreement":null},{"id":"W4213152393","doi":"10.1007/978-3-030-91589-6_22","title":"Advanced Analytics for Heat Stress Management in Underground Mines","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Wet-bulb temperature; Contamination; Coal; Heat stress; Environmental science; Temperature measurement; Coal mining; Waste management; Engineering; Meteorology; Atmospheric sciences; Geology; Geography; Thermodynamics; Humidity","score_opus":0.022011366625216206,"score_gpt":0.24017381968286214,"score_spread":0.21816245305764592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213152393","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010601761,0.03227047,0.77162164,0.0025431914,0.0017696971,0.0001410908,0.0029705171,0.008132661,0.16994902],"genre_scores_gemma":[0.16556072,0.04977198,0.41441396,0.0010829123,0.0019135157,0.00020386904,0.0066301674,0.0019841173,0.3584388],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997633,0.000019197225,0.000009356498,0.000040282288,0.0001518428,0.000015982714],"domain_scores_gemma":[0.99970526,0.00014610814,0.000016654316,0.000035620193,0.00008440274,0.000011923809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026835923,0.0010085002,0.0005453928,0.00093373226,0.00022875323,0.002156648,0.000839318,0.0005858082,0.0132709285],"category_scores_gemma":[0.00073428033,0.00029362497,0.00044291606,0.0014682435,0.00031858886,0.002246998,0.00079498417,0.0009255939,0.007289637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043327847,0.00006105022,0.0011585158,0.00040091664,0.000028317952,0.00012409216,0.00018018715,0.022469278,0.0072239814,0.03903558,0.11137436,0.8179005],"study_design_scores_gemma":[0.000009624286,0.00009352,0.0057055736,0.0005331393,0.00004021267,0.0006385173,0.00044717407,0.17593811,0.012937622,0.22352402,0.5800619,0.00007060371],"about_ca_topic_score_codex":0.001484567,"about_ca_topic_score_gemma":0.0024803518,"teacher_disagreement_score":0.0132709285,"about_ca_system_score_codex":0.00036023787,"about_ca_system_score_gemma":0.00033967884,"threshold_uncertainty_score":0.044395626},"labels":[],"label_agreement":null},{"id":"W4214890603","doi":"10.3390/min12030316","title":"Simulation Algorithm for Water Elutriators: Model Calibration with Plant Data and Operational Simulations","year":2022,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Mitacs; ArcelorMittal","keywords":"Fluidization; Iron ore; Computer science; Quartz; Classifier (UML); Simulation; Algorithm; Environmental science; Fluidized bed; Engineering; Artificial intelligence; Geology; Materials science","score_opus":0.040549774076919974,"score_gpt":0.2642233285350926,"score_spread":0.22367355445817264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214890603","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042042233,0.00007288694,0.9500405,0.00015017857,0.00002983391,0.00015558336,0.0002460115,0.001858595,0.0054042563],"genre_scores_gemma":[0.7621289,0.00014314793,0.23200011,0.00007683714,0.000016277105,0.00086206663,0.0005538091,0.00032552847,0.003893297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979216,0.00006166122,0.00001448634,0.0000427632,0.000058006895,0.000030861276],"domain_scores_gemma":[0.9989285,0.00064380036,0.000084410865,0.0000616294,0.000246875,0.00003473226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007485539,0.00083292037,0.00074889994,0.0005444833,0.0005728282,0.000813343,0.0014010492,0.0013337218,0.004019923],"category_scores_gemma":[0.0026735135,0.00045368663,0.0005358224,0.00048382967,0.0004139464,0.00069145154,0.0006078708,0.0009782223,0.00070200046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001423627,0.000011173708,0.00023787995,0.000009547531,0.0000038624617,0.000008674708,0.000011587379,0.9964539,0.00027832531,0.00065085903,0.00008555687,0.002234408],"study_design_scores_gemma":[0.0000036782822,0.0000032705802,0.000018823206,0.0000010446038,8.867737e-7,0.0000014414061,0.0000019008461,0.99957925,0.00012475866,0.00015398116,0.00010980741,0.0000011450255],"about_ca_topic_score_codex":0.018407837,"about_ca_topic_score_gemma":0.007307515,"teacher_disagreement_score":0.018407837,"about_ca_system_score_codex":0.0010449388,"about_ca_system_score_gemma":0.0012223177,"threshold_uncertainty_score":0.036601365},"labels":[],"label_agreement":null},{"id":"W4214951321","doi":"10.1007/s11053-022-10029-8","title":"Grade Control with Ensembled Machine Learning: A Comparative Case Study at the Carmen de Andacollo Copper Mine","year":2022,"lang":"en","type":"article","venue":"Natural Resources Research","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Teck (Canada); University of Alberta","funders":"Mitacs","keywords":"Kriging; Workflow; Artificial neural network; Machine learning; Computer science; Radial basis function; Support vector machine; Data mining; Artificial intelligence; Flexibility (engineering); k-nearest neighbors algorithm; Algorithm; Mathematics; Statistics","score_opus":0.050832915703563644,"score_gpt":0.3452853307632076,"score_spread":0.294452415059644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214951321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94690865,0.00038837502,0.04520902,0.000244737,0.00004441263,0.0001539221,0.00011403002,0.00031087635,0.0066260924],"genre_scores_gemma":[0.9905194,0.00007723829,0.0071670227,0.000012157646,0.0000066174653,0.000020473724,0.00006514831,0.000018497563,0.0021134089],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894625,0.00027983394,0.00005929231,0.00021449887,0.00032899692,0.00017104963],"domain_scores_gemma":[0.9982109,0.00070500554,0.000113205766,0.00024214975,0.00063538813,0.00009335161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016424106,0.0005364538,0.00078207155,0.0006806481,0.00085069373,0.001470366,0.0015698778,0.0013709383,0.0012309725],"category_scores_gemma":[0.0032297461,0.0002501932,0.00038930817,0.00065023033,0.0005381569,0.0008474992,0.0008367514,0.00076089974,0.00024483574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001208186,0.0021744042,0.03890092,0.00030887526,0.00017315372,0.001077167,0.0008471669,0.6541323,0.0088117635,0.0033585187,0.0021327073,0.28687483],"study_design_scores_gemma":[0.00010946472,0.0015694782,0.019421127,0.000031923624,0.000085758336,0.0001481576,0.0009452924,0.96002764,0.010976978,0.0019228237,0.0047084256,0.000052939133],"about_ca_topic_score_codex":0.037740782,"about_ca_topic_score_gemma":0.043938868,"teacher_disagreement_score":0.037740782,"about_ca_system_score_codex":0.0013959396,"about_ca_system_score_gemma":0.0009713822,"threshold_uncertainty_score":0.07504219},"labels":[],"label_agreement":null},{"id":"W4220712189","doi":"10.3390/mining2010008","title":"Integrated Artificial Neural Network and Discrete Event Simulation Framework for Regional Development of Refractory Gold Systems","year":2022,"lang":"en","type":"article","venue":"Mining","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial neural network; Refractory (planetary science); Process engineering; Engineering; Artificial intelligence; Materials science; Metallurgy","score_opus":0.04485035785824144,"score_gpt":0.27686325985089394,"score_spread":0.2320129019926525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220712189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.100048564,0.0006481966,0.88266844,0.00070720376,0.000116023,0.00016858996,0.00069629936,0.00097330706,0.013973389],"genre_scores_gemma":[0.8779245,0.00036814716,0.115308434,0.00010730632,0.00004462681,0.00035736826,0.0005592448,0.00009927686,0.0052312114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996487,0.00015814678,0.000019486019,0.000062221785,0.00006166437,0.00004977296],"domain_scores_gemma":[0.9985765,0.0010258728,0.000098670724,0.00003441883,0.00019261467,0.00007185489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011201389,0.00091723964,0.00088111236,0.000771516,0.0005364648,0.0013895319,0.001461501,0.0014152688,0.0037564286],"category_scores_gemma":[0.0028127145,0.00058557675,0.0010238069,0.0005746139,0.0006791529,0.0007337361,0.0012038914,0.001255381,0.00031312232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006056935,0.0000060369534,0.00015212975,0.0000054076263,0.0000060762127,0.00001056041,0.0000040392165,0.99828917,0.000031331623,0.0008360983,0.000033619443,0.00061951636],"study_design_scores_gemma":[9.2873216e-7,0.0000014949055,0.000015535334,6.8200626e-7,7.7063504e-7,6.6539604e-7,0.0000016910461,0.9996662,0.000011070376,0.00026180845,0.000038525268,6.326721e-7],"about_ca_topic_score_codex":0.03635373,"about_ca_topic_score_gemma":0.024967778,"teacher_disagreement_score":0.03635373,"about_ca_system_score_codex":0.001633037,"about_ca_system_score_gemma":0.0014766171,"threshold_uncertainty_score":0.07228428},"labels":[],"label_agreement":null},{"id":"W4221057764","doi":"10.1190/int-2021-0194.1","title":"Generating a labeled data set to train machine learning algorithms for lithologic classification of drill cuttings","year":2022,"lang":"en","type":"article","venue":"Interpretation","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Workflow; Convolutional neural network; Lithology; Artificial intelligence; Algorithm; Geology; Data set; Computer science; Set (abstract data type); Drill; Machine learning; Pattern recognition (psychology); Database; Petrology; Engineering","score_opus":0.06237746096804688,"score_gpt":0.31447295047773155,"score_spread":0.2520954895096847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221057764","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5485374,0.0007021578,0.3892058,0.0009822607,0.0004885948,0.0013491005,0.026925543,0.021639626,0.010169459],"genre_scores_gemma":[0.50285476,0.00017763102,0.42478016,0.00041629735,0.00008320978,0.0013472415,0.06606856,0.00045156686,0.0038205145],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986432,0.0002763602,0.00010696306,0.00047439136,0.00032956683,0.00016957286],"domain_scores_gemma":[0.99465984,0.0017269434,0.00038617454,0.0010358444,0.0020328448,0.00015833523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018225263,0.0017195408,0.00066538673,0.001935718,0.00088485883,0.0012774987,0.0022456879,0.0020927845,0.0036371064],"category_scores_gemma":[0.0073756143,0.0005604564,0.0013129539,0.0014107568,0.0008753059,0.0014138367,0.0011720792,0.0016544635,0.0030745787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008736552,0.0021779875,0.043777213,0.00068873994,0.0003407225,0.0007280908,0.0002896214,0.36930072,0.033937067,0.004984056,0.054957505,0.48794454],"study_design_scores_gemma":[0.00005607886,0.00016225425,0.005488823,0.00005302922,0.000031090127,0.00006799924,0.00017076268,0.95838,0.025839956,0.0036745952,0.006039758,0.00003557892],"about_ca_topic_score_codex":0.018091837,"about_ca_topic_score_gemma":0.02208936,"teacher_disagreement_score":0.018091837,"about_ca_system_score_codex":0.0019125756,"about_ca_system_score_gemma":0.0019208228,"threshold_uncertainty_score":0.035973072},"labels":[],"label_agreement":null},{"id":"W4224236327","doi":"10.3390/min12040455","title":"Deep-Learning-Based Automatic Mineral Grain Segmentation and Recognition","year":2022,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Deep learning; Computer science; Artificial intelligence; Segmentation; Automation; Task (project management); Process (computing); Pattern recognition (psychology); Machine learning; Residual neural network; Engineering; Systems engineering","score_opus":0.013788511858980257,"score_gpt":0.2249850948605009,"score_spread":0.21119658300152064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224236327","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11759641,0.00089455646,0.8534132,0.00038724102,0.0001494509,0.00012571581,0.0013312236,0.018175816,0.007926423],"genre_scores_gemma":[0.49319792,0.00045476848,0.49319494,0.0003027508,0.000047171354,0.000098121236,0.0033707698,0.00039331827,0.008940238],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99965537,0.00002362871,0.000013954852,0.000113963826,0.00013236082,0.000060704006],"domain_scores_gemma":[0.9996784,0.000076747165,0.000045336874,0.00006197986,0.00011691937,0.000020753803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046035045,0.0008700623,0.0006812902,0.0012165629,0.00035143323,0.00073088665,0.0016537366,0.0009350333,0.0025588328],"category_scores_gemma":[0.0009010423,0.00044856998,0.000654375,0.00087761163,0.000580011,0.0013442348,0.0007197401,0.0007916975,0.001858196],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040312466,0.00032378972,0.0048253825,0.00029638014,0.0001213635,0.00015277076,0.00008960482,0.22842376,0.10924819,0.0058378642,0.014020214,0.6362576],"study_design_scores_gemma":[0.000008545072,0.000027376558,0.0010486605,0.000008376032,0.000012711507,0.00003878475,0.000012594231,0.95985144,0.034395084,0.0020913647,0.0024937948,0.000011358814],"about_ca_topic_score_codex":0.009065771,"about_ca_topic_score_gemma":0.020312384,"teacher_disagreement_score":0.009065771,"about_ca_system_score_codex":0.0010288493,"about_ca_system_score_gemma":0.0013130659,"threshold_uncertainty_score":0.018025994},"labels":[],"label_agreement":null},{"id":"W4226075596","doi":"10.1109/tim.2022.3169551","title":"Adaptive Weighted Optimization Framework for Multiobjective Long-Term Planning of Concentrate Ingredients in Copper Industry","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Mathematical optimization; Multi-objective optimization; Computer science; Term (time); Benchmark (surveying); Production (economics); Optimization problem; Production planning; Mathematics","score_opus":0.04845204886176789,"score_gpt":0.2780163684977285,"score_spread":0.22956431963596058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226075596","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016712092,0.00023988305,0.9808441,0.00008498686,0.000019247986,0.00004392227,0.000040974235,0.00010656549,0.0019083924],"genre_scores_gemma":[0.7702281,0.00048512226,0.22505024,0.00010741492,0.000037635265,0.00047716364,0.00023031364,0.00011696041,0.0032671252],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951565,0.00014887596,0.000023170991,0.000098830234,0.00011810891,0.00009544795],"domain_scores_gemma":[0.99939716,0.00033687826,0.00006569098,0.000021286873,0.00013919853,0.000039834402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015453987,0.001327095,0.0011209501,0.0007168271,0.0005170208,0.000936745,0.001350448,0.001181687,0.0018045505],"category_scores_gemma":[0.0017891463,0.00072117435,0.0010385286,0.0007223223,0.0007325355,0.000953252,0.0011261977,0.0010918077,0.00015976303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009071472,0.000009229084,0.00011311491,0.000019700414,0.0000086874015,0.000016252074,0.000012476344,0.994638,0.00036699613,0.0015309636,0.00007849563,0.00319699],"study_design_scores_gemma":[0.000002447041,0.000010283658,0.000028447648,0.0000018575246,0.0000027574024,0.0000016686319,0.000004126628,0.9992378,0.00008247701,0.00055415794,0.00007230136,0.0000017590496],"about_ca_topic_score_codex":0.018132014,"about_ca_topic_score_gemma":0.011371751,"teacher_disagreement_score":0.018132014,"about_ca_system_score_codex":0.001074666,"about_ca_system_score_gemma":0.0020102952,"threshold_uncertainty_score":0.036052942},"labels":[],"label_agreement":null},{"id":"W4229051656","doi":"10.1680/jgeot.21.00212","title":"Insight into contact forces in crushable sand using experiments and predictive particle-scale modelling","year":2022,"lang":"en","type":"article","venue":"Géotechnique","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Particle (ecology); Isotropy; Contact force; Scale (ratio); Comminution; Materials science; Mechanics; Geotechnical engineering; Statistical physics; Geology; Physics; Classical mechanics; Optics; Metallurgy","score_opus":0.0220066716708682,"score_gpt":0.2468007364898691,"score_spread":0.2247940648190009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229051656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9091284,0.00013272697,0.085177384,0.00009468307,0.000012559574,0.00008685177,0.00022726374,0.00041409046,0.004726005],"genre_scores_gemma":[0.9938566,0.000064517706,0.0056288945,0.000005295739,0.0000017620902,0.00001857869,0.0000454002,0.000017127182,0.00036169437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998517,0.000015922964,0.000009061365,0.000029143077,0.000072779665,0.00002127808],"domain_scores_gemma":[0.9994355,0.00033153914,0.000052946136,0.00010385428,0.000056284003,0.00002001018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000384454,0.00034478004,0.00031931468,0.0004879264,0.00034659661,0.000591815,0.000625209,0.00066362496,0.0014616221],"category_scores_gemma":[0.0013332893,0.0002553356,0.0002725306,0.0003411566,0.0008114583,0.00068614073,0.0002841617,0.00041673178,0.00014318449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098731296,0.000100929705,0.0065643927,0.000084951054,0.000011859031,0.00018577326,0.00026133124,0.939489,0.041520488,0.0025498385,0.00009783925,0.009034847],"study_design_scores_gemma":[0.0000026934329,0.000026366522,0.0017661591,0.0000030063006,0.0000018238778,0.000018824749,0.00003563266,0.9914723,0.0061883773,0.0003552466,0.0001221988,0.0000074113605],"about_ca_topic_score_codex":0.017796652,"about_ca_topic_score_gemma":0.015030094,"teacher_disagreement_score":0.017796652,"about_ca_system_score_codex":0.00075940386,"about_ca_system_score_gemma":0.0006558198,"threshold_uncertainty_score":0.035386145},"labels":[],"label_agreement":null},{"id":"W4230885559","doi":"10.4095/308296","title":"Geoenvironmental characteristics of Canadian critical metal deposits","year":2018,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Environmental science; Mining engineering","score_opus":0.025964247436503107,"score_gpt":0.24626957462857715,"score_spread":0.22030532719207405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230885559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870854,0.00029730145,0.00016052839,0.00012681462,0.0000038394965,0.000030531734,0.0023700509,0.000018896322,0.009906647],"genre_scores_gemma":[0.9946461,0.00022671901,0.0003039048,0.00003151597,0.0000017748295,0.000013657931,0.001155676,0.0000073232077,0.0036133532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961805,0.000011310233,0.000012526739,0.0000627233,0.00018723184,0.000108213484],"domain_scores_gemma":[0.9994553,0.000015459142,0.00005983868,0.00000912379,0.00041277704,0.000047461548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013170711,0.00024141662,0.00019852482,0.002089292,0.0027537176,0.00095724285,0.00055595214,0.00023156893,0.002794031],"category_scores_gemma":[0.0005973613,0.00015858948,0.00017353089,0.0032071902,0.0005867332,0.00019887285,0.0006026734,0.00013239626,0.0002894687],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011928978,0.000030400495,0.95993215,0.00010350496,0.000036905407,0.00060847047,0.0021891738,0.0004787198,0.011717569,0.00049529574,0.002212544,0.02207593],"study_design_scores_gemma":[0.0000034470834,0.0000141128785,0.98791236,0.000011697265,0.0000117180325,0.00017414943,0.0023405813,0.00021566506,0.0011923782,0.000035980393,0.008075902,0.000012061166],"about_ca_topic_score_codex":0.9798886,"about_ca_topic_score_gemma":0.99391574,"teacher_disagreement_score":0.020111382,"about_ca_system_score_codex":0.014766804,"about_ca_system_score_gemma":0.0094578015,"threshold_uncertainty_score":0.1071412},"labels":[],"label_agreement":null},{"id":"W4233043865","doi":"10.32920/ryerson.14646429","title":"Using electrical resistance tomography to measure the yield stress of pretreated wheat straw and wheat straw slurries","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Slurry; Straw; Impeller; Materials science; Yield (engineering); Fiber; Raw material; Biofuel; Rheology; Pulp and paper industry; Composite material; Agronomy; Chemistry; Waste management; Mechanical engineering; Engineering","score_opus":0.03271573154774343,"score_gpt":0.24563190207713295,"score_spread":0.21291617052938952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233043865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988706,0.00017492559,0.010242528,0.000043079403,0.0000112269645,0.000012275674,0.00015531016,0.00008864874,0.0005659963],"genre_scores_gemma":[0.9936226,0.00017097115,0.00542171,0.000022392063,0.000005690029,0.000015485772,0.00015915305,0.000021575617,0.0005605524],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998466,0.000017977482,0.000009223107,0.000044611195,0.00006482583,0.00001673935],"domain_scores_gemma":[0.9997849,0.000057861555,0.00006436389,0.00001816662,0.000058755533,0.000015970503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020983447,0.00031011194,0.00020538962,0.0003746465,0.00013629251,0.00031188378,0.00015045589,0.00033264136,0.00056675554],"category_scores_gemma":[0.0006055667,0.00017037755,0.00016038318,0.00041722847,0.00033090144,0.000551576,0.00021549116,0.00027030928,0.00012192296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049100207,0.000011137852,0.0017508921,0.000020760634,0.000004683166,0.000064999025,0.00004798137,0.00047917833,0.9950264,0.00004189634,0.000029340246,0.0024736153],"study_design_scores_gemma":[0.000012927247,0.00025513346,0.04833531,0.000005632586,0.00002029893,0.00026882935,0.00022297727,0.018641174,0.93109405,0.00010510424,0.0010165989,0.000022036847],"about_ca_topic_score_codex":0.0005136409,"about_ca_topic_score_gemma":0.00079186383,"teacher_disagreement_score":0.00056675554,"about_ca_system_score_codex":0.0001652801,"about_ca_system_score_gemma":0.000118306976,"threshold_uncertainty_score":0.0018959641},"labels":[],"label_agreement":null},{"id":"W4234516211","doi":"10.1081/22020586.2010.12041956","title":"Application of automated detection techniques in magnetic data for identification of Cu-Au porphyries","year":2010,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Barrick Gold Corporation","keywords":"Filter (signal processing); Identification (biology); Geology; Magnetite; Computer science; Remote sensing; Computer vision","score_opus":0.012103143361822997,"score_gpt":0.2722140401767621,"score_spread":0.2601108968149391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234516211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55462766,0.0003827359,0.42970994,0.00021809121,0.000067359426,0.00016052506,0.0009147381,0.0064576273,0.00746133],"genre_scores_gemma":[0.7056607,0.00013683096,0.28959942,0.000046401157,0.000014510116,0.00010337728,0.0005827049,0.000119204815,0.0037368713],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99968517,0.000055931112,0.000021184806,0.00006558257,0.00013303994,0.000039167793],"domain_scores_gemma":[0.9993043,0.00021160513,0.00009497907,0.000115607756,0.00025364303,0.000019949863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034345975,0.00022765463,0.00022383191,0.0018508945,0.00029231719,0.0005391776,0.00033179604,0.00030105663,0.0018981446],"category_scores_gemma":[0.0013478814,0.00015069869,0.00012890136,0.0008678193,0.00021150529,0.00026034302,0.000308061,0.00025193056,0.0007397993],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028268024,0.000054971486,0.0069583347,0.00017962391,0.000026183481,0.00023796549,0.00026668847,0.005669844,0.5861639,0.0013395577,0.0024321603,0.39638817],"study_design_scores_gemma":[0.000029299961,0.00015516258,0.04060792,0.000031044205,0.000024455272,0.0008246421,0.00035147902,0.29002658,0.6525339,0.0013292932,0.014039378,0.00004691927],"about_ca_topic_score_codex":0.002953072,"about_ca_topic_score_gemma":0.0045264116,"teacher_disagreement_score":0.002953072,"about_ca_system_score_codex":0.00033123125,"about_ca_system_score_gemma":0.000307045,"threshold_uncertainty_score":0.006349921},"labels":[],"label_agreement":null},{"id":"W4234669160","doi":"10.32920/ryerson.14646429.v1","title":"Using electrical resistance tomography to measure the yield stress of pretreated wheat straw and wheat straw slurries","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Slurry; Straw; Impeller; Yield (engineering); Materials science; Raw material; Fiber; Biofuel; Pulp and paper industry; Agronomy; Rheology; Composite material; Chemistry; Waste management; Engineering; Mechanical engineering; Biology","score_opus":0.03271573154774343,"score_gpt":0.24563190207713295,"score_spread":0.21291617052938952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234669160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988706,0.00017492559,0.010242528,0.000043079403,0.0000112269645,0.000012275674,0.00015531016,0.00008864874,0.0005659963],"genre_scores_gemma":[0.9936226,0.00017097115,0.00542171,0.000022392063,0.000005690029,0.000015485772,0.00015915305,0.000021575617,0.0005605524],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998466,0.000017977482,0.000009223107,0.000044611195,0.00006482583,0.00001673935],"domain_scores_gemma":[0.9997849,0.000057861555,0.00006436389,0.00001816662,0.000058755533,0.000015970503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020983447,0.00031011194,0.00020538962,0.0003746465,0.00013629251,0.00031188378,0.00015045589,0.00033264136,0.00056675554],"category_scores_gemma":[0.0006055667,0.00017037755,0.00016038318,0.00041722847,0.00033090144,0.000551576,0.00021549116,0.00027030928,0.00012192296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049100207,0.000011137852,0.0017508921,0.000020760634,0.000004683166,0.000064999025,0.00004798137,0.00047917833,0.9950264,0.00004189634,0.000029340246,0.0024736153],"study_design_scores_gemma":[0.000012927247,0.00025513346,0.04833531,0.000005632586,0.00002029893,0.00026882935,0.00022297727,0.018641174,0.93109405,0.00010510424,0.0010165989,0.000022036847],"about_ca_topic_score_codex":0.0005136409,"about_ca_topic_score_gemma":0.00079186383,"teacher_disagreement_score":0.00056675554,"about_ca_system_score_codex":0.0001652801,"about_ca_system_score_gemma":0.000118306976,"threshold_uncertainty_score":0.0018959641},"labels":[],"label_agreement":null},{"id":"W4237056280","doi":"10.1515/cppm","title":"Chemical Product and Process Modeling","year":2013,"lang":"en","type":"paratext","venue":"Chemical Product and Process Modeling","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); PID controller; Multivariable calculus; Approximation error; Linearization; Artificial neural network; MATLAB; Nonlinear system; Computer science; Ball mill; Mean squared error; Autoregressive model; Control engineering; Mean absolute percentage error; Mathematics; Engineering; Algorithm; Artificial intelligence; Control (management); Statistics; Temperature control","score_opus":0.02256365207577526,"score_gpt":0.25564642565186196,"score_spread":0.2330827735760867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237056280","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065712715,0.0062051266,0.7292309,0.003036732,0.0015490266,0.00077925797,0.009535506,0.0036322833,0.23945996],"genre_scores_gemma":[0.30464938,0.014356141,0.34119004,0.0012194322,0.0009903774,0.0020451194,0.015173838,0.0019636112,0.31841213],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983707,0.00027902162,0.000092990056,0.00037787826,0.0007698872,0.000109503664],"domain_scores_gemma":[0.9989334,0.00035731404,0.000094344134,0.00022241999,0.00034444695,0.000048046037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012504768,0.0018059965,0.0012322764,0.0015681246,0.00085463905,0.004146974,0.002649815,0.0021414857,0.033493932],"category_scores_gemma":[0.0035490673,0.0006731164,0.0024350674,0.0022086683,0.0008626752,0.002784884,0.0018356092,0.0018169327,0.012991569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011241809,0.00012216993,0.0013631993,0.001009367,0.00011474527,0.0003003943,0.00014571908,0.41452673,0.0034557607,0.41676903,0.04277338,0.119307026],"study_design_scores_gemma":[0.000042567615,0.00007846919,0.0004362945,0.000114831884,0.00005229314,0.00018215686,0.000046778096,0.56336015,0.0021021748,0.103975,0.32956383,0.00004541046],"about_ca_topic_score_codex":0.0104144355,"about_ca_topic_score_gemma":0.0047133355,"teacher_disagreement_score":0.033493932,"about_ca_system_score_codex":0.0020214182,"about_ca_system_score_gemma":0.003311845,"threshold_uncertainty_score":0.11204839},"labels":[],"label_agreement":null},{"id":"W4239149784","doi":"10.4133/1.3176711","title":"Characterization of Solid Waste in a Bioreactor Landfill Using Seismic Borehole Methods","year":2009,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2009","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Borehole; Municipal solid waste; Characterization (materials science); Environmental science; Waste management; Bioreactor; Bioreactor landfill; Geology; Petroleum engineering; Geotechnical engineering; Engineering; Materials science; Chemistry","score_opus":0.0068097049401171705,"score_gpt":0.2155837994166558,"score_spread":0.20877409447653864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239149784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879602,0.0000720986,0.011314461,0.000017856533,0.0000030882452,0.000026050473,0.00014458699,0.000052008636,0.0004096113],"genre_scores_gemma":[0.98239017,0.00023697995,0.01651024,0.000014417979,0.0000039228385,0.00003300658,0.0002665751,0.000009993512,0.00053475227],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99981016,0.000029470117,0.000013303608,0.000032154734,0.00008439784,0.000030529845],"domain_scores_gemma":[0.9998369,0.000039656985,0.00004639892,0.00000982868,0.000051515402,0.000015701575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024483597,0.0002883886,0.00022998556,0.0008535892,0.00022332223,0.00025475904,0.00030438308,0.00028098118,0.00042685782],"category_scores_gemma":[0.00030546918,0.00014656482,0.00024037067,0.00079404836,0.00020936145,0.00034682945,0.00023303897,0.00020816276,0.00013720489],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014406406,0.00008230527,0.019789495,0.00006059308,0.0000059767585,0.00016276266,0.00034880286,0.0011592275,0.96092755,0.00006768723,0.000035400404,0.017216155],"study_design_scores_gemma":[0.000025428155,0.0023253502,0.21024881,0.000027144619,0.000040068742,0.0008919366,0.002726251,0.028733093,0.75292593,0.00029369417,0.0017065104,0.000055953653],"about_ca_topic_score_codex":0.0024419392,"about_ca_topic_score_gemma":0.0054080673,"teacher_disagreement_score":0.0024419392,"about_ca_system_score_codex":0.00017093227,"about_ca_system_score_gemma":0.0002484766,"threshold_uncertainty_score":0.004855454},"labels":[],"label_agreement":null},{"id":"W4239176799","doi":"10.4095/305007","title":"Geoenvironmental characteristics of Canadian critical metal deposits","year":2017,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Environmental science; Geology; Mining engineering; Earth science","score_opus":0.03246087029764478,"score_gpt":0.2616291054476648,"score_spread":0.22916823515002005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239176799","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9727801,0.0005601411,0.00030722664,0.00028844652,0.000007381421,0.00004927886,0.005808577,0.000035357236,0.020163486],"genre_scores_gemma":[0.991525,0.00043884682,0.0005214214,0.00005822462,0.0000028000159,0.000015715665,0.0021312647,0.000011982443,0.0052945786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951994,0.000013204404,0.000016996331,0.00007987187,0.00026176666,0.00010811673],"domain_scores_gemma":[0.9991923,0.000020546668,0.000093691546,0.000013885901,0.0006050431,0.0000744762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016596976,0.0002870092,0.00017646358,0.0027437562,0.0025770687,0.0009184425,0.00068260334,0.00021493713,0.0032840034],"category_scores_gemma":[0.00068100594,0.00019141835,0.00020323813,0.004171631,0.00054735143,0.00019564839,0.000652648,0.00015414834,0.0003436412],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014286286,0.000039697166,0.9410459,0.00015477446,0.00005914567,0.0007702182,0.0026256323,0.0006268761,0.012018094,0.0008368058,0.0064996807,0.035180323],"study_design_scores_gemma":[0.0000037576922,0.000014713167,0.98220956,0.000018081442,0.000015672827,0.00021289173,0.0017559357,0.00021544377,0.001358746,0.0000521638,0.014126863,0.000016164648],"about_ca_topic_score_codex":0.98565197,"about_ca_topic_score_gemma":0.99582064,"teacher_disagreement_score":0.017889006,"about_ca_system_score_codex":0.017889006,"about_ca_system_score_gemma":0.011824291,"threshold_uncertainty_score":0.12979442},"labels":[],"label_agreement":null},{"id":"W4239462474","doi":"10.4018/978-1-4666-0915-0.ch009","title":"Production Blast-Induced Vibrations in Longhole Open Stoping","year":2012,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Stoping; Rock blasting; Transverse plane; Explosive material; Mining engineering; Attenuation; Vibration; Geology; Geotechnical engineering; Engineering; Structural engineering; Acoustics","score_opus":0.03593697701562983,"score_gpt":0.2617359522451838,"score_spread":0.22579897522955397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239462474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4909185,0.010701834,0.11311329,0.00039767328,0.00035500864,0.00011833317,0.00016625653,0.0005017793,0.38372725],"genre_scores_gemma":[0.75590265,0.0043238644,0.019411989,0.00008117372,0.00007147724,0.00003623285,0.00018041977,0.00014067019,0.21985157],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99990475,0.000008307191,0.0000021215287,0.000010318865,0.000065000655,0.000009537384],"domain_scores_gemma":[0.999948,0.000022680551,0.0000055087253,0.000005115991,0.000013645466,0.000005117006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001036168,0.00020837723,0.0001115002,0.00027524264,0.00024344305,0.00053701963,0.00029696643,0.0002874701,0.005189824],"category_scores_gemma":[0.00013586924,0.0001288693,0.000113625065,0.0002856704,0.00041488308,0.0003046063,0.00038412394,0.00023685307,0.00077805744],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028248617,0.00013931759,0.002382433,0.00095894176,0.00001314303,0.0021358444,0.0042982204,0.013350384,0.46719438,0.058214847,0.010560356,0.44046956],"study_design_scores_gemma":[0.0000905919,0.0013772475,0.04941494,0.0005152362,0.0000422521,0.0050907214,0.0038237597,0.019681513,0.23912011,0.037921846,0.64282674,0.000095045114],"about_ca_topic_score_codex":0.0006005433,"about_ca_topic_score_gemma":0.0025808306,"teacher_disagreement_score":0.005189824,"about_ca_system_score_codex":0.00030948842,"about_ca_system_score_gemma":0.00023225063,"threshold_uncertainty_score":0.01736176},"labels":[],"label_agreement":null},{"id":"W4242315693","doi":"10.31224/osf.io/sqz6y","title":"Aziznejad, S. and Esmaieli, K. 2015. Effects of joint intensity on rock fragmentation by impact, 11th International Symposium on Rock Fragmentation by Blasting, 24-26 August, Sydney, Australia","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Geological Strength Index; Rock mass classification; Fragmentation (computing); Geotechnical engineering; Geology; Breakage; Rock blasting; Particle flow; Ultimate tensile strength; Discrete element method; Materials science; Mechanics; Composite material; Physics","score_opus":0.018019515368257518,"score_gpt":0.28527050592602965,"score_spread":0.26725099055777213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242315693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8614338,0.052390482,0.054020908,0.0027608997,0.0013067618,0.00014837073,0.0011524096,0.00060511706,0.026181286],"genre_scores_gemma":[0.94791514,0.021622444,0.013619367,0.00014962269,0.00012559006,0.000043286032,0.00113921,0.0000647921,0.015320576],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99964726,0.000029333147,0.000019820598,0.000026557898,0.0002302305,0.000046797097],"domain_scores_gemma":[0.99934334,0.00020746622,0.00007858858,0.000042757947,0.000291303,0.000036511577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078748097,0.00069459307,0.00060660683,0.0009978333,0.0005428652,0.0007743148,0.0004687821,0.0006198806,0.0057403427],"category_scores_gemma":[0.0018099216,0.0003244077,0.000534844,0.00042389546,0.00054289546,0.00071483856,0.00066791987,0.00041182767,0.0015830284],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003421745,0.0005602202,0.042889297,0.0021111844,0.0003252166,0.0019978571,0.00087495643,0.21115956,0.11813733,0.00414752,0.02310258,0.59127253],"study_design_scores_gemma":[0.00044397454,0.0040075933,0.2389064,0.00057805545,0.0013111271,0.0037460513,0.004208338,0.42509988,0.21964727,0.0073782983,0.09430271,0.0003703392],"about_ca_topic_score_codex":0.0060444647,"about_ca_topic_score_gemma":0.008499722,"teacher_disagreement_score":0.0060444647,"about_ca_system_score_codex":0.00045875917,"about_ca_system_score_gemma":0.0005159181,"threshold_uncertainty_score":0.019203365},"labels":[],"label_agreement":null},{"id":"W4242515316","doi":"10.2118/2006-053-ea","title":"Prevention of Refinery Tower Plugging by Residual Oil Gellant Chemicals in Crude-Pilot Plant Evaluation of Alternative Oil Gellants","year":2006,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Refinery; Crude oil; Oil refinery; Waste management; Petroleum; Environmental science; Residual oil; Residual; Petroleum engineering; Pilot plant; Tower; Pulp and paper industry; Engineering; Computer science; Chemistry; Civil engineering","score_opus":0.03045197858513036,"score_gpt":0.25654148473199734,"score_spread":0.226089506146867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242515316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99846965,0.00038694154,0.000548707,0.000018502018,0.0000057916604,0.00007120458,0.0001467981,0.000027499342,0.00032480402],"genre_scores_gemma":[0.99483347,0.0007253836,0.0027282564,0.00002106955,0.000004828669,0.000040508992,0.00028071066,0.000018113631,0.0013475713],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995646,0.00008690447,0.000040565155,0.00007051618,0.00016298241,0.000074462034],"domain_scores_gemma":[0.999466,0.00011056622,0.00014388438,0.000036804006,0.0001663204,0.00007637707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004950442,0.00039194498,0.00044902685,0.00039101086,0.00021541188,0.0003515569,0.0004025466,0.00035915256,0.0012260788],"category_scores_gemma":[0.0006969108,0.0002013744,0.00055197126,0.00032679513,0.00019293482,0.00029738943,0.00025326863,0.00041761465,0.0001836756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001041891,0.0006367243,0.0013247125,0.00031529684,0.00002835932,0.000066687164,0.00007263773,0.0010222162,0.9858584,0.000023123828,0.00005924043,0.009550851],"study_design_scores_gemma":[0.00003482914,0.011263773,0.0056877215,0.000019036877,0.00004238635,0.000037127684,0.00005176833,0.0005813366,0.98173296,0.0000056727235,0.000534303,0.000009021898],"about_ca_topic_score_codex":0.0041058133,"about_ca_topic_score_gemma":0.0073383236,"teacher_disagreement_score":0.0041058133,"about_ca_system_score_codex":0.00033706528,"about_ca_system_score_gemma":0.00038136062,"threshold_uncertainty_score":0.00816381},"labels":[],"label_agreement":null},{"id":"W4242788216","doi":"10.1007/978-1-4020-5717-5_1","title":"Introduction","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Task (project management); Estimation; Resource (disambiguation); Computer science; Engineering ethics; Engineering management; Engineering; Systems engineering","score_opus":0.009120695908895714,"score_gpt":0.17494277547558867,"score_spread":0.16582207956669295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242788216","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027911502,0.0033442157,0.005016479,0.0015523204,0.0034807438,0.00011471911,0.001289888,0.00070684106,0.9842157],"genre_scores_gemma":[0.00058972364,0.0016278601,0.0011051374,0.0005412556,0.0003955517,0.000042397485,0.000801474,0.00017644237,0.9947201],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99954164,0.000035855952,0.000015604131,0.000093134986,0.0002633878,0.000050401075],"domain_scores_gemma":[0.9995468,0.000063636806,0.000015458405,0.000059569138,0.00023133749,0.00008312938],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00045585938,0.0009012368,0.00054046576,0.0017720778,0.0011579357,0.003263507,0.001408647,0.0013141192,0.52650905],"category_scores_gemma":[0.0013950791,0.00031149006,0.00051111955,0.0015388305,0.00055360276,0.002581081,0.0020849947,0.0016584701,0.4473487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020109452,0.000041427436,0.00007372375,0.0001744761,0.0000020542393,0.00004690128,0.00010610896,0.0001707332,0.0005735294,0.026351675,0.73415625,0.23828302],"study_design_scores_gemma":[0.000001032608,0.0000036262145,0.00004951296,0.000051128438,6.2977995e-7,0.000024394163,0.000021481732,0.000018096749,0.000070169786,0.0023661999,0.99739194,0.0000018393752],"about_ca_topic_score_codex":0.0029035555,"about_ca_topic_score_gemma":0.0062679355,"teacher_disagreement_score":0.47349095,"about_ca_system_score_codex":0.0011936732,"about_ca_system_score_gemma":0.0019607395,"threshold_uncertainty_score":0.67537737},"labels":[],"label_agreement":null},{"id":"W4248890007","doi":"10.1007/978-3-319-41192-7_2","title":"Simulated Annealing","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Simulated annealing; Annealing (glass); Probabilistic logic; Metaheuristic; Materials science; Mathematical optimization; Computer science; Metallurgy; Algorithm; Artificial intelligence; Mathematics","score_opus":0.014231445197229707,"score_gpt":0.19996208890625958,"score_spread":0.18573064370902986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248890007","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030694464,0.00264442,0.76165515,0.0007274132,0.0007719303,0.000109265406,0.00076249265,0.0033330063,0.22692694],"genre_scores_gemma":[0.13385624,0.0029742431,0.5607901,0.0007693848,0.00036800082,0.0006116417,0.0029314763,0.004440201,0.29325864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995147,0.00015684462,0.000014613553,0.00011710309,0.00016394498,0.000032757052],"domain_scores_gemma":[0.9995548,0.00022191954,0.000016876398,0.000106993226,0.00007995148,0.000019350731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044685023,0.0008998193,0.0009024191,0.000507452,0.000597948,0.001286379,0.0012589769,0.0013132272,0.048533678],"category_scores_gemma":[0.0019007688,0.0005987872,0.0008157064,0.0007762563,0.0006544882,0.00074790255,0.001084293,0.0016098989,0.014292174],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007926128,0.00006909924,0.00024442642,0.00025700452,0.000089504916,0.000051633193,0.00008786956,0.48088714,0.0019567963,0.19356896,0.08887148,0.23383676],"study_design_scores_gemma":[0.000040733063,0.000035022826,0.00017167456,0.00009558273,0.000032064727,0.000063056905,0.000028267354,0.6158422,0.0027167888,0.16439141,0.21655545,0.000027656763],"about_ca_topic_score_codex":0.002603002,"about_ca_topic_score_gemma":0.0047884407,"teacher_disagreement_score":0.048533678,"about_ca_system_score_codex":0.00088469445,"about_ca_system_score_gemma":0.0009751278,"threshold_uncertainty_score":0.16236132},"labels":[],"label_agreement":null},{"id":"W4249457761","doi":"10.17159/2411-9717/1379/2021","title":"A new grade-capping approach based on coarse duplicate data correlation","year":2021,"lang":"en","type":"article","venue":"Journal of the Southern African Institute of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Outlier; Estimator; Data mining; Robustness (evolution); Log-normal distribution; Geostatistics; Correlation coefficient; Computer science; Correlation; Statistics; Mathematics; Algorithm; Spatial variability; Chemistry","score_opus":0.04191147991856464,"score_gpt":0.23014921999666876,"score_spread":0.18823774007810412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249457761","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031144554,0.00011888022,0.994089,0.000040145864,0.00004694077,0.00015027767,0.00021383078,0.0014819807,0.00074456155],"genre_scores_gemma":[0.07297084,0.00022127382,0.9208896,0.00015147611,0.00013988678,0.00042450044,0.0015824566,0.0009307903,0.002689217],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.98937595,0.0018969094,0.00081505853,0.002887789,0.0045972923,0.0004270019],"domain_scores_gemma":[0.97743803,0.0064724307,0.0023478405,0.004383408,0.008968674,0.00038964368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008282225,0.0027144651,0.0026530053,0.005602917,0.0013159723,0.0047689877,0.004527742,0.0017505042,0.003253249],"category_scores_gemma":[0.032681454,0.0014204923,0.0023579372,0.004731943,0.0014127123,0.003345256,0.0044168555,0.0035883954,0.0031469513],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040671133,0.00029811708,0.009452964,0.0006999051,0.00032643607,0.00041304994,0.00060540234,0.16571084,0.02741183,0.014077469,0.007413647,0.77318364],"study_design_scores_gemma":[0.000039660445,0.00032379656,0.0042890264,0.00010546749,0.00013868266,0.0004127723,0.0001689479,0.9242921,0.029767117,0.023208288,0.017055893,0.00019818655],"about_ca_topic_score_codex":0.0063316906,"about_ca_topic_score_gemma":0.005011057,"teacher_disagreement_score":0.008282225,"about_ca_system_score_codex":0.0014443857,"about_ca_system_score_gemma":0.0031231558,"threshold_uncertainty_score":0.04380113},"labels":[],"label_agreement":null},{"id":"W4256385456","doi":"10.2113/96.6.1397","title":"Predictive Distribution of Fault-Fill and Extensional Veins: Example from the Sigma Gold Mine, Abitibi Subprovince, Canada","year":2001,"lang":"en","type":"article","venue":"Economic Geology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Extensional definition; Fault (geology); Sigma; Geochemistry; Distribution (mathematics); Greenstone belt; Mining engineering; Seismology; Petrology; Archean; Tectonics; Mathematics","score_opus":0.006556661050779281,"score_gpt":0.1680746059044211,"score_spread":0.16151794485364182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256385456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937954,0.000197768,0.0007469706,0.00032604067,0.0000060050284,0.000017743663,0.0031284534,0.00013615137,0.0016455986],"genre_scores_gemma":[0.9958901,0.00012218877,0.0006545419,0.000016887,0.0000046973805,0.0000033182528,0.002245283,0.000017622495,0.001045363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983776,0.00001856639,0.000007157626,0.000037175563,0.000048204096,0.000051113628],"domain_scores_gemma":[0.99878806,0.0003317648,0.00007653942,0.00007416134,0.00063533697,0.00009418136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051523914,0.00042930932,0.0005298354,0.0011522899,0.0009183773,0.0009483385,0.0013720883,0.0009398275,0.0016784511],"category_scores_gemma":[0.0015793992,0.00030621857,0.00046220465,0.0021760478,0.0008741799,0.00038793127,0.00045126418,0.000616195,0.00028739087],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066988316,0.00026509204,0.5538953,0.00015101458,0.00021222737,0.0015011863,0.0007419051,0.389864,0.0029712226,0.0033576929,0.011856114,0.03451435],"study_design_scores_gemma":[0.00013003749,0.00005577274,0.4725321,0.00004084209,0.00009455224,0.00020912086,0.0013590096,0.5180098,0.0013453464,0.001489287,0.004653186,0.000080955535],"about_ca_topic_score_codex":0.94403416,"about_ca_topic_score_gemma":0.96355647,"teacher_disagreement_score":0.05596584,"about_ca_system_score_codex":0.005052008,"about_ca_system_score_gemma":0.0045152893,"threshold_uncertainty_score":0.11259079},"labels":[],"label_agreement":null},{"id":"W4280600608","doi":"10.1255/tosf.161","title":"A comparison between conventional blast hole sampling and diamond core drilling for copper grade at the Antapaccay mine","year":2022,"lang":"en","type":"article","venue":"TOS forum","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Glencore (Canada)","funders":"","keywords":"Drilling; Drill; Sampling (signal processing); Diamond; Core (optical fiber); Computer science; Mining engineering; Engineering; Materials science; Mechanical engineering; Metallurgy","score_opus":0.06165046729446634,"score_gpt":0.3010997728889701,"score_spread":0.23944930559450378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280600608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9481332,0.024753971,0.01869907,0.00013233784,0.00010185134,0.0001913846,0.00032247114,0.00007139711,0.0075943577],"genre_scores_gemma":[0.9545213,0.013193242,0.029247843,0.00007957074,0.000035242658,0.00007664527,0.0003657063,0.000047177473,0.0024332744],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9949411,0.0009919731,0.00037844368,0.0007277075,0.0028058004,0.00015503816],"domain_scores_gemma":[0.9983386,0.0005078662,0.00032734315,0.00011891355,0.00066930224,0.000037925187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026630776,0.0002216126,0.00046518733,0.0013920148,0.00023880182,0.0006427262,0.00097401603,0.00044053153,0.00042443062],"category_scores_gemma":[0.0037313127,0.00024191524,0.00032674527,0.0010681612,0.00043055258,0.00045402866,0.00041601216,0.00018637338,0.00019918197],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020533206,0.00021504734,0.13277799,0.009135142,0.00035172692,0.0016066423,0.0023751091,0.0039701425,0.27758956,0.001780384,0.0012124821,0.5669325],"study_design_scores_gemma":[0.00013021953,0.005237268,0.5861071,0.00085307873,0.0006753678,0.004444466,0.0032373487,0.008450616,0.34632048,0.00090840727,0.043457832,0.00017773763],"about_ca_topic_score_codex":0.0072516673,"about_ca_topic_score_gemma":0.021403043,"teacher_disagreement_score":0.0072516673,"about_ca_system_score_codex":0.00060235354,"about_ca_system_score_gemma":0.0011721484,"threshold_uncertainty_score":0.01441896},"labels":[],"label_agreement":null},{"id":"W4281625660","doi":"10.18280/i2m.210202","title":"Investigation of Using Physical Optical Reflectivity Probes in Evaluating and Monitoring Powder Mixtures of Sugar and Slag","year":2022,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Materials science; Sugar; Intensity (physics); Optics; Light intensity; Reflectivity; Slag (welding); Composite material; Calibration; Mineralogy; Analytical Chemistry (journal); Chemistry; Chromatography; Mathematics","score_opus":0.06877691738087953,"score_gpt":0.340759450655362,"score_spread":0.27198253327448246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281625660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93970525,0.0008449655,0.058085483,0.00008185942,0.00002402198,0.000109815504,0.00008023341,0.00019231178,0.000875962],"genre_scores_gemma":[0.89610755,0.00077580067,0.10213928,0.000058862504,0.000013698431,0.00005591804,0.000068142865,0.00004036708,0.0007403823],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989384,0.0003001587,0.000040509676,0.00013191317,0.00049678085,0.00009220272],"domain_scores_gemma":[0.99922156,0.00039408435,0.0001248505,0.0000585955,0.00016968111,0.000031301814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012889821,0.000521742,0.0003572963,0.00040596252,0.00017283834,0.0005304276,0.00063914544,0.00064637297,0.00042531925],"category_scores_gemma":[0.0019067898,0.00034897187,0.0002649687,0.0004275874,0.00037322732,0.00056204473,0.00033791212,0.00041636688,0.00019029735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009972111,0.000021096577,0.0010851254,0.00005665629,0.00000558014,0.000057173886,0.00003967097,0.00022677584,0.9931322,0.000043590026,0.000012533399,0.0052199247],"study_design_scores_gemma":[0.000005762405,0.0006702234,0.0035634914,0.0000064129235,0.00002224464,0.00021573625,0.000084387866,0.0041604815,0.99067676,0.000023075572,0.0005619613,0.000009521853],"about_ca_topic_score_codex":0.0007479788,"about_ca_topic_score_gemma":0.00131074,"teacher_disagreement_score":0.0012889821,"about_ca_system_score_codex":0.00018148177,"about_ca_system_score_gemma":0.00026504198,"threshold_uncertainty_score":0.006816864},"labels":[],"label_agreement":null},{"id":"W4286845963","doi":"10.5281/zenodo.5755063","title":"Cigar Lake Mine Convolutional Neural Network","year":2021,"lang":"en","type":"dissertation","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Convolutional neural network; Computer science; Mining engineering; Environmental science; Artificial intelligence; Geology","score_opus":0.021430400086143886,"score_gpt":0.2271134097097175,"score_spread":0.2056830096235736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286845963","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36068568,0.0014586769,0.51330084,0.0010200365,0.00032934328,0.00049869687,0.021320116,0.012900141,0.08848638],"genre_scores_gemma":[0.6908064,0.0009172212,0.19147165,0.00029530824,0.000031083673,0.0003426044,0.018282285,0.0003124385,0.09754109],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999051,0.0000035766363,0.000002311255,0.000026812677,0.000031935208,0.000030261059],"domain_scores_gemma":[0.99983454,0.000013970564,0.000006592459,0.000017792716,0.000119639626,0.000007472622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014053585,0.00046293685,0.00015649185,0.00041205663,0.000297582,0.000387727,0.000694511,0.00045539316,0.0046793073],"category_scores_gemma":[0.00039815556,0.00024339966,0.00032077837,0.0006944918,0.0001541041,0.0002779806,0.00031498613,0.00050134293,0.00172749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016157806,0.00009359593,0.009435962,0.0001307304,0.00010931751,0.00031327893,0.00008913662,0.56755716,0.034112144,0.008258096,0.06432267,0.31541628],"study_design_scores_gemma":[0.000013378548,0.000032388147,0.0051728603,0.000015900167,0.000021675429,0.000038185863,0.00003039238,0.9579368,0.014886057,0.001247361,0.020585073,0.000019825817],"about_ca_topic_score_codex":0.32327747,"about_ca_topic_score_gemma":0.50425637,"teacher_disagreement_score":0.32327747,"about_ca_system_score_codex":0.002211886,"about_ca_system_score_gemma":0.002504279,"threshold_uncertainty_score":0.64279157},"labels":[],"label_agreement":null},{"id":"W4288033790","doi":"10.18280/ijsdp.170404","title":"Contaminant Movement Control from Al-Mishraq Extraction Area-Numerical Approach","year":2022,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Extraction (chemistry); Movement (music); Environmental science; Movement control; Environmental engineering; Chemistry; Physical medicine and rehabilitation; Chromatography","score_opus":0.010986214063545845,"score_gpt":0.23063176034380475,"score_spread":0.2196455462802589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288033790","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22928281,0.0004531575,0.75550616,0.000359545,0.00006513005,0.00011892139,0.00020296339,0.0006450837,0.013366075],"genre_scores_gemma":[0.94775575,0.00012903004,0.048805382,0.000034975747,0.000012640428,0.00006627275,0.00009647365,0.000025332927,0.0030742283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998253,0.0000300509,0.00000979718,0.00004972951,0.000046359102,0.00003885546],"domain_scores_gemma":[0.99969816,0.00011971974,0.000049414783,0.000015406316,0.00009623964,0.000020952208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025304971,0.00049492985,0.00047057154,0.0005092177,0.00058185676,0.0007827772,0.00072449434,0.0008481866,0.0016776067],"category_scores_gemma":[0.00066300126,0.00034879887,0.0005231206,0.00040922695,0.0003763278,0.00042790727,0.00074966496,0.00039758495,0.0001774686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005126354,0.000032428812,0.0017036665,0.000047153553,0.000012416986,0.00008471191,0.00004020162,0.9806104,0.004457036,0.0012508349,0.00024210507,0.011467896],"study_design_scores_gemma":[0.0000036285542,0.000009359811,0.00016230253,0.0000017494244,0.000003302167,0.000007098107,0.000010985128,0.99899536,0.00044368315,0.00018291215,0.00017723147,0.0000024060482],"about_ca_topic_score_codex":0.022061637,"about_ca_topic_score_gemma":0.014904346,"teacher_disagreement_score":0.022061637,"about_ca_system_score_codex":0.0006998502,"about_ca_system_score_gemma":0.0011609338,"threshold_uncertainty_score":0.043866456},"labels":[],"label_agreement":null},{"id":"W4288722808","doi":"10.3390/min12080951","title":"Coal and Gangue Active Identification Method Using Microwave Irradiation-Infrared Detection","year":2022,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Henan University; McGill University","keywords":"Gangue; Coal; Microwave; Irradiation; Coal mining; Materials science; Microwave irradiation; Environmental science; Mineralogy; Waste management; Mining engineering; Metallurgy; Geology; Engineering; Physics","score_opus":0.01821182454897871,"score_gpt":0.2603286945634754,"score_spread":0.2421168700144967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288722808","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41597727,0.0020162307,0.57789266,0.000105984815,0.0001165982,0.00017638321,0.00010335694,0.00067690475,0.002934575],"genre_scores_gemma":[0.7765442,0.0006770467,0.21967001,0.00007616085,0.000031769043,0.000107809276,0.00008550298,0.000031615684,0.0027758437],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993517,0.000076629,0.000025548736,0.00019695098,0.0003105109,0.00003879486],"domain_scores_gemma":[0.9997205,0.00009135447,0.000062517174,0.00002799247,0.00008119247,0.000016381657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004655782,0.00047076878,0.00035233313,0.0009258152,0.0002910283,0.0003397245,0.00061000773,0.00057279033,0.00073774665],"category_scores_gemma":[0.00052962307,0.0003141132,0.00036171605,0.0004185259,0.00034559387,0.0009044575,0.00058519264,0.00050265185,0.00035337848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009615995,0.0000341326,0.0015686471,0.00012640673,0.000016210286,0.00006316923,0.000047671678,0.00032991887,0.96703935,0.0003317181,0.00007304121,0.030273577],"study_design_scores_gemma":[0.0000126859795,0.00017609843,0.0043986985,0.000008811684,0.000040287905,0.00050952897,0.00004606858,0.012159196,0.9799299,0.00022741391,0.0024578394,0.000033371984],"about_ca_topic_score_codex":0.00031450574,"about_ca_topic_score_gemma":0.00088317087,"teacher_disagreement_score":0.0009258152,"about_ca_system_score_codex":0.00018042375,"about_ca_system_score_gemma":0.00018723797,"threshold_uncertainty_score":0.0024680495},"labels":[],"label_agreement":null},{"id":"W4291318754","doi":"10.31223/x5qm04","title":"DNA sequencing, microbial sensors, and the discovery of buried mineral resources","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Overburden; Kimberlite; Surface mining; Mineral resource classification; Environmental DNA; Mining engineering; Amplicon sequencing; DNA sequencing; Earth science; Mineral exploration; Amplicon; Mineralization (soil science); Geology; Geochemistry; Ecology; Biology; Soil science; Geography; Biodiversity; DNA; Paleontology; Soil water; Coal mining; Gene; Polymerase chain reaction; Archaeology; Coal; Genetics","score_opus":0.01222747505181061,"score_gpt":0.2110608577844957,"score_spread":0.1988333827326851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291318754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8322717,0.006508984,0.15227054,0.0013913761,0.00021352182,0.00006491344,0.0013824053,0.00052440696,0.005372212],"genre_scores_gemma":[0.8480443,0.005827938,0.14042798,0.0003807868,0.00008285485,0.0000610177,0.0010545974,0.00008128407,0.0040390897],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99956435,0.00008566064,0.000014522387,0.00011773577,0.00018813781,0.000029582305],"domain_scores_gemma":[0.99955934,0.000178751,0.00013527465,0.000042940104,0.00004754931,0.000036196318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006269266,0.00033380123,0.00028879332,0.0006327378,0.00022608857,0.0007913788,0.00023981121,0.0007062716,0.0005991571],"category_scores_gemma":[0.0015979261,0.00021257336,0.00013468355,0.0007192635,0.0007992713,0.00068497745,0.00038428474,0.0006103043,0.0003071246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012500006,0.000045663313,0.01054832,0.0002476607,0.00002617162,0.00017068644,0.00020446852,0.0019062387,0.9231109,0.00509901,0.00039822533,0.058117617],"study_design_scores_gemma":[0.00002009649,0.0002299305,0.022708934,0.00006846572,0.00002517599,0.00070021773,0.00051738706,0.015745366,0.92433995,0.01987821,0.015730862,0.00003549889],"about_ca_topic_score_codex":0.0005410544,"about_ca_topic_score_gemma":0.001218975,"teacher_disagreement_score":0.0007913788,"about_ca_system_score_codex":0.00027336305,"about_ca_system_score_gemma":0.00036526882,"threshold_uncertainty_score":0.0033155084},"labels":[],"label_agreement":null},{"id":"W4292236749","doi":"10.1002/cjce.24610","title":"A <scp>multi‐fault</scp> diagnosis method based on improved <scp>SMOTE</scp> for <scp>class‐imbalanced</scp> data","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; National Natural Science Foundation of China","keywords":"Mahalanobis distance; Artificial intelligence; Computer science; AdaBoost; Pattern recognition (psychology); Classifier (UML); Oversampling; Decision tree; Machine learning; Data mining; Algorithm","score_opus":0.023473487107762217,"score_gpt":0.24473123781231768,"score_spread":0.22125775070455544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292236749","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042750325,0.00010326733,0.9549804,0.00024434322,0.000068736976,0.00006918952,0.00008333999,0.00080677075,0.00089361524],"genre_scores_gemma":[0.6632542,0.00012996203,0.33154365,0.00019268552,0.000090533395,0.00013706791,0.00067784433,0.000101844395,0.0038721487],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992029,0.0000693117,0.000059522354,0.0001842079,0.00039351537,0.00009043036],"domain_scores_gemma":[0.99869776,0.00028004462,0.0001307543,0.000119431366,0.0007043122,0.00006769175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010279607,0.00057939027,0.00078943855,0.0014282479,0.00072108745,0.000702487,0.0008026069,0.00084639026,0.0013280343],"category_scores_gemma":[0.0021801528,0.00030124726,0.0009817362,0.00079490425,0.00039261326,0.0009790802,0.00077175343,0.0010320811,0.0003425396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042688972,0.00020537963,0.0083823735,0.0001903778,0.00011739613,0.00049467303,0.00018444608,0.2860115,0.04935906,0.005328354,0.006214844,0.64308465],"study_design_scores_gemma":[0.000006155216,0.000019589574,0.00066460745,0.000003212203,0.000005729123,0.00003784249,0.0000127505355,0.9949491,0.0033694948,0.0004932981,0.00043325307,0.0000049527325],"about_ca_topic_score_codex":0.007448595,"about_ca_topic_score_gemma":0.0055448217,"teacher_disagreement_score":0.007448595,"about_ca_system_score_codex":0.00054635404,"about_ca_system_score_gemma":0.0012643057,"threshold_uncertainty_score":0.014810443},"labels":[],"label_agreement":null},{"id":"W4292635680","doi":"10.1016/j.mineng.2022.107795","title":"Technical note adaptation of Pierre’s Gy theory of sampling for polished section preparation geared towards automated mineralogical analysis","year":2022,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agnico Eagle (Canada); Polytechnique Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Sampling (signal processing); Characterization (materials science); Sizing; Computer science; Computation; Process engineering; Mineralogy; Engineering drawing; Materials science; Engineering; Algorithm; Nanotechnology; Geology; Chemistry; Computer vision","score_opus":0.027613161200420493,"score_gpt":0.27865397717634344,"score_spread":0.2510408159759229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292635680","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006937912,0.00013174767,0.9946195,0.0004346146,0.00043253103,0.00011241122,0.00017876855,0.0013605612,0.0020360139],"genre_scores_gemma":[0.03233772,0.00069267186,0.940868,0.00071928697,0.00073767314,0.00049865077,0.0009736974,0.0019486286,0.021223698],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9920671,0.0012450044,0.0003692946,0.0014889082,0.004493021,0.00033656415],"domain_scores_gemma":[0.99019986,0.00253827,0.00027620388,0.0034627598,0.0031668565,0.0003560229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069503225,0.0016266777,0.0011358827,0.0033479675,0.0015796075,0.0028374607,0.0028158377,0.0017325578,0.019174945],"category_scores_gemma":[0.013956019,0.0015712626,0.002270865,0.0017929331,0.0026225045,0.002932638,0.0051360014,0.004912981,0.020476501],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030810927,0.00014811823,0.0044285622,0.00056222954,0.00017599374,0.0019031903,0.0010415701,0.015621306,0.15738805,0.23017567,0.05881218,0.529435],"study_design_scores_gemma":[0.00005865403,0.000231331,0.0054949415,0.00019441161,0.00013530542,0.004300623,0.00027750322,0.13197772,0.20337027,0.17840536,0.47526813,0.00028583602],"about_ca_topic_score_codex":0.0036822401,"about_ca_topic_score_gemma":0.0031661703,"teacher_disagreement_score":0.019174945,"about_ca_system_score_codex":0.0013396267,"about_ca_system_score_gemma":0.002666471,"threshold_uncertainty_score":0.06414652},"labels":[],"label_agreement":null},{"id":"W4292875425","doi":"10.1016/j.mineng.2022.107807","title":"Process simulation to determine blending and residence time distribution in mineral processing plants","year":2022,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Agencia Nacional de Investigación y Desarrollo","keywords":"Mineral processing; Comminution; Process engineering; Weighting; Residence time distribution; Process (computing); Engineering; Computer science; Mathematics; Flow (mathematics); Metallurgy","score_opus":0.012311567075154094,"score_gpt":0.2358935858146784,"score_spread":0.2235820187395243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292875425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95246136,0.00009236202,0.039045185,0.000102884296,0.000023740058,0.00008113546,0.00037732325,0.00041033956,0.0074057025],"genre_scores_gemma":[0.9928368,0.00003638764,0.0057552233,0.000011163672,0.0000019008228,0.000035433168,0.00014411176,0.000026665726,0.0011524142],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999887,0.000021089654,0.0000053400295,0.000024981226,0.00003600313,0.000025515465],"domain_scores_gemma":[0.99929047,0.00048408337,0.00004723902,0.000034579367,0.00011017129,0.000033365453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003174283,0.00040735482,0.0005844624,0.0004304467,0.000700385,0.000557309,0.00050298765,0.0008607153,0.0024011151],"category_scores_gemma":[0.000971739,0.0004580934,0.00050966366,0.00055096915,0.00027161776,0.00044749607,0.00026510868,0.0005154278,0.00023728481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010560117,0.00008171199,0.0018838474,0.00002423801,0.00000973761,0.000034135923,0.000021251157,0.9908958,0.004227231,0.00040303098,0.00009427388,0.0022190025],"study_design_scores_gemma":[0.00001028532,0.000027249685,0.00023398882,7.1683206e-7,0.0000023218229,0.0000029003224,0.0000062674694,0.99766433,0.001914905,0.000062926694,0.00007214092,0.0000019589745],"about_ca_topic_score_codex":0.01830648,"about_ca_topic_score_gemma":0.008544351,"teacher_disagreement_score":0.01830648,"about_ca_system_score_codex":0.0011651025,"about_ca_system_score_gemma":0.0012521918,"threshold_uncertainty_score":0.0363999},"labels":[],"label_agreement":null},{"id":"W4293240700","doi":"10.1007/s11053-022-10064-5","title":"Constraints on the Geometry and Gold Distribution in the Black Reef Formation of South Africa Using 3D Reflection Seismic Data and Micro-X-ray Computed Tomography","year":2022,"lang":"en","type":"article","venue":"Natural Resources Research","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"National Research Foundation","keywords":"Geology; Petrography; Mineral resource classification; Pyrite; Reef; Mineralogy; Mineral; Geochemistry; Mineral exploration; Economic geology; Mining engineering; Geophysics; Seismology; Tectonics","score_opus":0.07444043640896922,"score_gpt":0.31850224174921765,"score_spread":0.24406180534024843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293240700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972295,0.000061017567,0.0005718158,0.000043221866,0.0000015734603,0.0000086613145,0.0003197839,0.00001310875,0.0017513499],"genre_scores_gemma":[0.9988945,0.000045302575,0.00075436785,0.000005475909,0.0000013313161,0.000006130721,0.00015133641,0.0000061146407,0.00013552314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975234,0.000037720485,0.000023637358,0.000056032848,0.000070318274,0.00005999408],"domain_scores_gemma":[0.99963117,0.00012387309,0.00011116649,0.000034175155,0.00007138892,0.000028222088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002421601,0.0004321544,0.000317878,0.0017883145,0.0007348379,0.0009499803,0.0005730251,0.00038674744,0.0020099462],"category_scores_gemma":[0.002129368,0.00045319324,0.00026493787,0.0013843675,0.000887112,0.00053513976,0.0012265841,0.00035558047,0.00039545057],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005141864,0.0000961056,0.83200246,0.00027731477,0.00012185553,0.0019262867,0.0030834053,0.0362144,0.078642935,0.0037494453,0.00043058643,0.04294109],"study_design_scores_gemma":[0.000049548842,0.000047681293,0.97106916,0.000068200716,0.00003664379,0.0004085157,0.002425784,0.020192882,0.0032668482,0.00083850685,0.001558914,0.000037374186],"about_ca_topic_score_codex":0.09955598,"about_ca_topic_score_gemma":0.20759752,"teacher_disagreement_score":0.09955598,"about_ca_system_score_codex":0.00078510086,"about_ca_system_score_gemma":0.0013204148,"threshold_uncertainty_score":0.19795299},"labels":[],"label_agreement":null},{"id":"W4293530437","doi":"10.3390/en15176263","title":"A Review of Reliability and Fault Analysis Methods for Heavy Equipment and Their Components Used in Mining","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"North American Construction Group (Canada); University of Alberta","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Scope (computer science); Predictive maintenance; Fault (geology); Computer science; Production (economics); Engineering; Risk analysis (engineering)","score_opus":0.09080296492494415,"score_gpt":0.3835024219373902,"score_spread":0.29269945701244604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293530437","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00033191987,0.99367476,0.0031099913,0.00026456878,0.0003396029,0.000017446808,0.00009245332,0.000030772742,0.0021385495],"genre_scores_gemma":[0.002119789,0.99275994,0.0031486508,0.00019566738,0.00032087628,0.000022159282,0.00013709783,0.000010790347,0.0012849533],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9993616,0.00009574902,0.0001129224,0.00011660943,0.00028555706,0.000027618722],"domain_scores_gemma":[0.99821895,0.0010975004,0.00016845077,0.000051486073,0.00043142526,0.000032070267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009858124,0.0010924335,0.0011291659,0.0043434314,0.00035293086,0.0008929626,0.0011630158,0.0010795498,0.0043424293],"category_scores_gemma":[0.0023066313,0.00053519843,0.0010395423,0.005047085,0.00046284485,0.0017259908,0.0004451261,0.0010198978,0.0020317992],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004735575,0.00007676926,0.00041966292,0.03702818,0.00013335672,0.00016018379,0.00010264304,0.0014349152,0.002143175,0.0053397655,0.024427047,0.9286869],"study_design_scores_gemma":[0.00000849759,0.00017942478,0.0025530118,0.009993495,0.00032536793,0.0013156977,0.00009689927,0.0011589718,0.0018996733,0.0039860825,0.9784162,0.000066519686],"about_ca_topic_score_codex":0.0022508309,"about_ca_topic_score_gemma":0.0026104094,"teacher_disagreement_score":0.0043434314,"about_ca_system_score_codex":0.00053621095,"about_ca_system_score_gemma":0.0014503325,"threshold_uncertainty_score":0.014526904},"labels":[],"label_agreement":null},{"id":"W4293817281","doi":"10.3390/met12081372","title":"Data-Driven Dynamic Simulations of Gold Extraction Which Incorporate Head Grade Distribution Statistics","year":2022,"lang":"en","type":"article","venue":"Metals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Head (geology); Extraction (chemistry); Geology; Mining engineering; Hydrothermal circulation; Geochemistry; Chemistry; Paleontology","score_opus":0.05036599480667107,"score_gpt":0.31650794677716626,"score_spread":0.26614195197049517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293817281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9712286,0.00008192396,0.01843021,0.00024821865,0.000047254507,0.00012668766,0.0022792416,0.00031516215,0.0072426763],"genre_scores_gemma":[0.99392784,0.00004093443,0.004028168,0.000026868607,0.0000043760556,0.00007684317,0.0008889955,0.000023822933,0.0009821161],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996635,0.00009440912,0.00002164556,0.00006745958,0.000055211018,0.00009779422],"domain_scores_gemma":[0.9960192,0.0028452766,0.00032061193,0.00017021775,0.00043282282,0.0002120106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010348521,0.0007616727,0.00067019596,0.0008870008,0.00050852116,0.0009921716,0.0012138301,0.0014300464,0.0025358493],"category_scores_gemma":[0.004683336,0.000432937,0.00088634394,0.0008796649,0.0006394848,0.0007413596,0.00062965177,0.0011947847,0.00021859171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002814929,0.00003173475,0.002268912,0.000006098641,0.000007973357,0.000016302656,0.000008754131,0.99673223,0.00010357467,0.0003107603,0.000075406235,0.0004101461],"study_design_scores_gemma":[0.000006967957,0.000013622302,0.0005284686,0.0000013942281,0.000002850612,0.0000023536495,0.000014146566,0.9991001,0.000115079725,0.00012676686,0.00008423862,0.0000041070225],"about_ca_topic_score_codex":0.06689632,"about_ca_topic_score_gemma":0.044797685,"teacher_disagreement_score":0.06689632,"about_ca_system_score_codex":0.0016389779,"about_ca_system_score_gemma":0.0012775535,"threshold_uncertainty_score":0.1330139},"labels":[],"label_agreement":null},{"id":"W4297348676","doi":"10.56952/arma-2022-0756","title":"A Case Study on Trim Blast Fragmentation Optimization Using MBF and MSW Models at an Open Pit Mine in Canada","year":2022,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rock blasting; Trim; Vibration; Open-pit mining; Fragmentation (computing); Structural engineering; Environmental science; Engineering; Mining engineering; Computer science; Acoustics","score_opus":0.06301701676922347,"score_gpt":0.27278663842582607,"score_spread":0.2097696216566026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297348676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97717744,0.00013381036,0.013878321,0.00016105507,0.000011527218,0.00015187736,0.0003381633,0.0001233182,0.0080243815],"genre_scores_gemma":[0.9876286,0.00007940465,0.009083339,0.000013154684,0.0000016249095,0.00004526775,0.0001500437,0.000015124149,0.0029834849],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997267,0.000045231354,0.000011371395,0.00003877871,0.00010549905,0.00007252759],"domain_scores_gemma":[0.99947006,0.00022601336,0.000046311307,0.000029673485,0.00017487825,0.000052965996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064209657,0.0007137161,0.00044319415,0.0007058972,0.0011365879,0.0012649911,0.001319063,0.0016357298,0.0017942897],"category_scores_gemma":[0.00088768866,0.00038722853,0.000641568,0.0005924439,0.000651317,0.00038309305,0.00055878557,0.00061513996,0.00018039419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104256724,0.00011347782,0.007256879,0.00008572105,0.000017189888,0.0006347386,0.00014579488,0.9817824,0.0025057588,0.0008037326,0.00035294192,0.0061970972],"study_design_scores_gemma":[0.000029807534,0.00016542734,0.0041377763,0.000015859192,0.00001758683,0.000068933274,0.00040402677,0.9917774,0.002151892,0.0002528065,0.0009628989,0.000015513871],"about_ca_topic_score_codex":0.43899837,"about_ca_topic_score_gemma":0.4504846,"teacher_disagreement_score":0.56100166,"about_ca_system_score_codex":0.005066073,"about_ca_system_score_gemma":0.0041186353,"threshold_uncertainty_score":0.87288624},"labels":[],"label_agreement":null},{"id":"W4297348884","doi":"10.56952/arma-2022-0430","title":"Thermal Imaging for Rockfall Detection","year":2022,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rockfall; Environmental science; Remote sensing; Visibility; Geology; Meteorology; Landslide; Geotechnical engineering; Geography","score_opus":0.0067967559626297275,"score_gpt":0.19469913226682234,"score_spread":0.1879023763041926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297348884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77819103,0.005451872,0.19116314,0.0006339113,0.00022202406,0.0005820784,0.00065543054,0.0020062516,0.021094244],"genre_scores_gemma":[0.91647273,0.00093861145,0.078646146,0.00013987964,0.000034087523,0.00008458462,0.00020633459,0.000049447626,0.0034282287],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994734,0.00008349453,0.000014166165,0.00011809467,0.0002689626,0.000041939267],"domain_scores_gemma":[0.9992872,0.0001385787,0.000111312365,0.000044922395,0.00038034897,0.000037707498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000527356,0.00043252984,0.00024119139,0.0008304315,0.0002696781,0.00079493946,0.00051385706,0.00053836394,0.0025692594],"category_scores_gemma":[0.0010698895,0.0002581777,0.00026714997,0.00049391185,0.00026167688,0.0007257938,0.00040038486,0.0004936191,0.00048068268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007751603,0.00035989497,0.034586847,0.0005284438,0.000089785164,0.00031495548,0.000305354,0.009936479,0.5915543,0.0011961991,0.0055151503,0.35483754],"study_design_scores_gemma":[0.000100719895,0.0016326772,0.108904034,0.0002455583,0.00020132102,0.0010288549,0.0005724436,0.19961052,0.66449636,0.0013182573,0.021749225,0.00014015884],"about_ca_topic_score_codex":0.0025913517,"about_ca_topic_score_gemma":0.005725166,"teacher_disagreement_score":0.0025913517,"about_ca_system_score_codex":0.00070929923,"about_ca_system_score_gemma":0.0004230437,"threshold_uncertainty_score":0.008595049},"labels":[],"label_agreement":null},{"id":"W4298086863","doi":"","title":"Volcanic fronts as a consequence of serpetinite dehydratation in the fore-arc mantle wedge.","year":2003,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Geology; Mantle wedge; Wedge (geometry); Mantle (geology); Volcano; Geochemistry; Petrology; Seismology; Subduction; Tectonics; Optics; Physics","score_opus":0.013404479554682876,"score_gpt":0.22394312082447573,"score_spread":0.21053864126979285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298086863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983064,0.000278557,0.00014879428,0.00002959431,0.0000049454693,0.0000048280476,0.00012657861,0.000028944705,0.0010713363],"genre_scores_gemma":[0.9983463,0.0001121328,0.00012101412,0.000019428868,0.000002876568,0.0000021897577,0.00026896002,0.000007102106,0.0011198687],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9999517,0.0000034049665,0.0000023332063,0.000009786324,0.000013970989,0.000018759169],"domain_scores_gemma":[0.99992144,0.000008752134,0.00002674896,0.000014072527,0.000011429673,0.000017619925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000074395866,0.00015361863,0.00014496436,0.00026524015,0.00020286157,0.0002869085,0.00024372221,0.00030018334,0.001870846],"category_scores_gemma":[0.00013848062,0.00016562371,0.00014037166,0.00014559453,0.00026004086,0.00015652766,0.00028092117,0.00031150997,0.00031619956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009056852,0.000035620847,0.019998359,0.000066110646,0.000023076038,0.003227599,0.00018466667,0.0003129591,0.9698935,0.00032556136,0.00019219644,0.0048346855],"study_design_scores_gemma":[0.000101203,0.00027728363,0.6054824,0.000013022417,0.00006842808,0.0067687137,0.00039402247,0.0019111253,0.37898478,0.0006844495,0.0053019472,0.0000126614705],"about_ca_topic_score_codex":0.0032388684,"about_ca_topic_score_gemma":0.0033804094,"teacher_disagreement_score":0.0032388684,"about_ca_system_score_codex":0.0002239728,"about_ca_system_score_gemma":0.00010585862,"threshold_uncertainty_score":0.006439984},"labels":[],"label_agreement":null},{"id":"W4304183817","doi":"10.3390/su141912838","title":"A Numerical Simulation of the Interaction of Aggregate and Rockfill in a Gangue Fluidized Filling Method","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Science Fund for Distinguished Young Scholars; China University of Mining and Technology; National Natural Science Foundation of China; China Postdoctoral Science Foundation; University of Ottawa","keywords":"Gangue; Discrete element method; Geotechnical engineering; Fluidized bed; Void (composites); Void ratio; Aggregate (composite); Materials science; Displacement (psychology); Diffusion; Mining engineering; Mechanics; Engineering; Waste management; Metallurgy; Composite material; Thermodynamics","score_opus":0.00995874377712875,"score_gpt":0.2844677338710658,"score_spread":0.27450899009393703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304183817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8153364,0.00031999487,0.16270591,0.0003629958,0.0001039687,0.0001113022,0.00037147573,0.00039654734,0.020291474],"genre_scores_gemma":[0.9817504,0.000100604826,0.015141642,0.000027310776,0.0000054228435,0.000073633404,0.000091833004,0.000017586273,0.002791578],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998735,0.0000252006,0.0000065800155,0.00002155357,0.000034716417,0.00003852778],"domain_scores_gemma":[0.99980026,0.000095817275,0.000027408869,0.000014621352,0.000035040364,0.000026841051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022175928,0.000366341,0.00058836647,0.00035667844,0.0006914183,0.00070764706,0.0007250807,0.0013905207,0.0021790047],"category_scores_gemma":[0.00061761524,0.00024330917,0.0005416002,0.00038171286,0.00079230993,0.00051765423,0.00067375856,0.00040865486,0.0001322948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059869428,0.000043786327,0.0018920639,0.000036733993,0.000010713359,0.0001881996,0.00007633217,0.9878957,0.004362977,0.0025723823,0.00013755352,0.002723634],"study_design_scores_gemma":[0.000008631253,0.000016321406,0.00018100734,0.0000028311788,0.0000025270203,0.00001127224,0.000021567896,0.9988011,0.0005125425,0.00018197695,0.00025582302,0.0000043870314],"about_ca_topic_score_codex":0.015745362,"about_ca_topic_score_gemma":0.006270306,"teacher_disagreement_score":0.015745362,"about_ca_system_score_codex":0.00045717863,"about_ca_system_score_gemma":0.00089804584,"threshold_uncertainty_score":0.03130746},"labels":[],"label_agreement":null},{"id":"W4304845460","doi":"10.1002/cjce.24718","title":"Monitoring the fluidized bed reactor for polyethylene polymerization based on fibre optic acoustic emission sensor","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Materials science; Fluidized bed; SIGNAL (programming language); Acoustic emission; Polyethylene; Particle (ecology); Composite material; Fluidization; Acoustics; Waste management; Engineering","score_opus":0.010095449232090504,"score_gpt":0.20039247545437688,"score_spread":0.1902970262222864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304845460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87428135,0.0012431428,0.12216162,0.00009869108,0.000093735514,0.00011190067,0.00014531892,0.0006561281,0.001208132],"genre_scores_gemma":[0.94054604,0.00063653506,0.05688875,0.00005970963,0.000019188734,0.00005996197,0.00010816039,0.000023966779,0.0016577312],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994236,0.00008408415,0.000019547753,0.00010098205,0.00034260575,0.000029135601],"domain_scores_gemma":[0.9996315,0.00012239542,0.00007271481,0.000016328122,0.00014131438,0.000015670557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047234198,0.0005247566,0.0003844478,0.00036862862,0.00015024457,0.0002842002,0.0004923705,0.00047569376,0.0004417279],"category_scores_gemma":[0.0006244899,0.00019221687,0.0002506191,0.00024032207,0.00022288975,0.00071330264,0.0002611871,0.00032174806,0.00018933341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093590555,0.000025507006,0.00083575764,0.00007369661,0.0000069242815,0.00003462309,0.000032539283,0.00044105918,0.99084,0.00004019487,0.00004471085,0.0075313263],"study_design_scores_gemma":[0.000008791081,0.00024401267,0.0029535524,0.000006308833,0.000016462574,0.00010734179,0.00002767895,0.015597046,0.9800417,0.000027669344,0.00095236464,0.000017127366],"about_ca_topic_score_codex":0.0004333705,"about_ca_topic_score_gemma":0.00054371526,"teacher_disagreement_score":0.0005247566,"about_ca_system_score_codex":0.000254751,"about_ca_system_score_gemma":0.00016817903,"threshold_uncertainty_score":0.002497971},"labels":[],"label_agreement":null},{"id":"W4306391228","doi":"10.1038/s41467-022-33302-z","title":"Genetic model of the El Laco magnetite-apatite deposits by extrusion of iron-rich melt","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Magnetite; Apatite; Extrusion; Materials science; Metallurgy; Chemical engineering; Geochemistry; Mineralogy; Geology; Engineering","score_opus":0.01102144418076511,"score_gpt":0.2379840657150326,"score_spread":0.2269626215342675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306391228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97458106,0.00007996754,0.021522855,0.000099034754,0.000009764429,0.00002128117,0.00034764636,0.00009002961,0.0032483179],"genre_scores_gemma":[0.99074215,0.00010977176,0.0065211984,0.000016198053,0.0000041276467,0.000048465892,0.00022353025,0.000023837929,0.0023106143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99996483,0.000006358935,0.0000023052467,0.0000131466495,0.000005407681,0.000008017769],"domain_scores_gemma":[0.9999374,0.0000134536685,0.000023321485,0.000005738332,0.000008062533,0.000011879593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008013927,0.00022333309,0.00019504565,0.0003354651,0.00030657114,0.0004279679,0.00055166014,0.00034111727,0.0013572624],"category_scores_gemma":[0.00021852857,0.000109320375,0.00042300476,0.00022849359,0.00027800284,0.00014650266,0.00023736966,0.0002039422,0.0001630402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024465745,0.00011852601,0.023637028,0.0000936876,0.00008835321,0.0012667517,0.00025095762,0.6431403,0.2741001,0.04923275,0.00036094946,0.007465913],"study_design_scores_gemma":[0.0000536986,0.0000991587,0.012913748,0.0000076113474,0.00004241432,0.00022228368,0.00009611322,0.9681941,0.0071610054,0.009479885,0.0017031432,0.000026936692],"about_ca_topic_score_codex":0.010063384,"about_ca_topic_score_gemma":0.006855053,"teacher_disagreement_score":0.010063384,"about_ca_system_score_codex":0.0007842148,"about_ca_system_score_gemma":0.0004985107,"threshold_uncertainty_score":0.020009637},"labels":[],"label_agreement":null},{"id":"W4308535740","doi":"10.3390/min12111377","title":"Methodology and Model to Predict HPGR Throughput Based on Piston Press Testing","year":2022,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Agencia Nacional de Investigación y Desarrollo; Mitacs","keywords":"Throughput; Sizing; Grinding; Reduction (mathematics); Piston (optics); Computer science; Reliability engineering; Scale (ratio); Process engineering; Mechanical engineering; Engineering; Mathematics; Chemistry; Physics","score_opus":0.13401928542380784,"score_gpt":0.30406358943932216,"score_spread":0.17004430401551432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308535740","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14490019,0.0003207259,0.84188867,0.00027102316,0.000074454285,0.00037603767,0.00095211004,0.0033600011,0.007856819],"genre_scores_gemma":[0.9280214,0.0003179302,0.0648589,0.000053923766,0.000017437334,0.0004915615,0.0007136326,0.00012913453,0.0053959875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996946,0.00003704825,0.000020507498,0.00008461606,0.00013002624,0.000033224693],"domain_scores_gemma":[0.9994289,0.00025303382,0.00007987754,0.00003472452,0.00018698962,0.000016586257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000597554,0.000907977,0.0006086781,0.0006239622,0.00042186436,0.00082546007,0.0014795806,0.00094844826,0.0023774607],"category_scores_gemma":[0.0012776435,0.00045486947,0.00072044076,0.00049076637,0.00035484848,0.00088573317,0.00039636996,0.0010050811,0.000733178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003088084,0.00006206917,0.0020779748,0.000055898734,0.00001766183,0.00005363362,0.000022982027,0.9808178,0.0036295722,0.0005003093,0.0003421236,0.01238901],"study_design_scores_gemma":[0.000004260855,0.000026363376,0.00063911645,0.0000041996323,0.0000064461915,0.000013130341,0.000004411581,0.996885,0.0018663172,0.00024554384,0.0002987677,0.0000064115634],"about_ca_topic_score_codex":0.016533952,"about_ca_topic_score_gemma":0.008012627,"teacher_disagreement_score":0.016533952,"about_ca_system_score_codex":0.0011390483,"about_ca_system_score_gemma":0.0014400169,"threshold_uncertainty_score":0.03287542},"labels":[],"label_agreement":null},{"id":"W4308645678","doi":"10.1002/cjce.24759","title":"Dynamic global feature extraction and importance‐correlation selection for the prediction of concentrate copper grade and recovery rate","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Principal component analysis; Feature selection; Kernel principal component analysis; Redundancy (engineering); Computer science; Pattern recognition (psychology); Data mining; Support vector machine; Feature extraction; Artificial intelligence; Kernel (algebra); Scale (ratio); Mathematics; Kernel method","score_opus":0.00577929870633069,"score_gpt":0.19232843418346257,"score_spread":0.1865491354771319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308645678","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32435945,0.00037028993,0.6729721,0.00011895342,0.00004230084,0.000065944274,0.00016722841,0.00085295155,0.0010508224],"genre_scores_gemma":[0.950258,0.00010829116,0.04836732,0.000017035543,0.000020243157,0.000051482835,0.00019535323,0.000026750802,0.0009555027],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965525,0.0000525628,0.000018440336,0.00008711998,0.00014445173,0.000042195214],"domain_scores_gemma":[0.999464,0.00019186364,0.000071767674,0.000046558704,0.0002006197,0.000025223932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006921194,0.0007646515,0.0007159468,0.0011466466,0.0002494584,0.00041182493,0.000496964,0.00035937876,0.00053923775],"category_scores_gemma":[0.0012488585,0.0002282506,0.00062840653,0.0010442043,0.00022958725,0.00040636485,0.00030539813,0.00034447797,0.00014560258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052955,0.00036829617,0.021336438,0.00015047533,0.00014274246,0.00036156867,0.000096086325,0.40903783,0.06705779,0.0010386888,0.002894891,0.49698564],"study_design_scores_gemma":[0.0000068044365,0.000047792506,0.005138069,0.0000020653263,0.000014155098,0.000022862445,0.000009337275,0.98900324,0.005429781,0.00011305718,0.0002046717,0.000008181288],"about_ca_topic_score_codex":0.0062747975,"about_ca_topic_score_gemma":0.0035753488,"teacher_disagreement_score":0.0062747975,"about_ca_system_score_codex":0.0003270376,"about_ca_system_score_gemma":0.00062829885,"threshold_uncertainty_score":0.012476504},"labels":[],"label_agreement":null},{"id":"W4309092751","doi":"10.1016/j.mineng.2022.107896","title":"Automated mineralogical characterization using optical microscopy: Review and recommendations","year":2022,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agnico Eagle (Canada); Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Characterization (materials science); Optical microscope; Microscopy; Context (archaeology); Opacity; Microscope; Materials science; Scanning electron microscope; Mineralogy; Nanotechnology; Geology; Optics; Physics","score_opus":0.017460612260212848,"score_gpt":0.2594375200356602,"score_spread":0.24197690777544734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309092751","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007989728,0.9853596,0.0087133655,0.0026148923,0.00064056745,0.0000597171,0.00018945849,0.00009765982,0.0015257215],"genre_scores_gemma":[0.0047923713,0.97231144,0.019600656,0.0010932746,0.0006116156,0.0000628281,0.00036652252,0.000033700315,0.0011275787],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99784446,0.0002471448,0.00025584042,0.00045741664,0.0011050844,0.00009006848],"domain_scores_gemma":[0.9852881,0.005785421,0.0010696275,0.0004350952,0.007109342,0.00031232872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009094813,0.0014680465,0.0022607774,0.0051584146,0.0004272036,0.0025046794,0.00370439,0.0023240214,0.002147263],"category_scores_gemma":[0.008783952,0.0007776854,0.0014883988,0.0031124596,0.0013781191,0.0038564585,0.0012094554,0.0020298567,0.0016345878],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014320642,0.00013271715,0.0019791133,0.030124437,0.00032671413,0.00010604094,0.00010842558,0.001332491,0.0093273595,0.0041565215,0.031081757,0.92118126],"study_design_scores_gemma":[0.0000565244,0.00026903505,0.006985656,0.016969448,0.0013766314,0.0013554723,0.00055232004,0.003534346,0.020024652,0.008938434,0.9396944,0.00024293194],"about_ca_topic_score_codex":0.00625201,"about_ca_topic_score_gemma":0.009948378,"teacher_disagreement_score":0.009094813,"about_ca_system_score_codex":0.0017073017,"about_ca_system_score_gemma":0.0040380103,"threshold_uncertainty_score":0.048098564},"labels":[],"label_agreement":null},{"id":"W4309442769","doi":"10.1002/cjce.24774","title":"State evaluation of copper flotation process based on transfer learning and a layered and blocked framework","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Process (computing); Artificial intelligence; Feature (linguistics); Computer science; Image (mathematics); Convolutional neural network; Froth flotation; Transfer of learning; State (computer science); Artificial neural network; Key (lock); Matching (statistics); Pattern recognition (psychology); Algorithm; Mathematics; Materials science; Metallurgy","score_opus":0.010591232278099726,"score_gpt":0.22063293919738064,"score_spread":0.21004170691928092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309442769","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1856741,0.00020028908,0.8112378,0.00020302141,0.000023498724,0.000056002864,0.000056605004,0.0005406387,0.0020080411],"genre_scores_gemma":[0.9786213,0.00004654822,0.01997461,0.000023503731,0.0000068240847,0.000031289823,0.000053865322,0.000020572765,0.0012214994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995158,0.00011358489,0.000022951463,0.00014114044,0.00012287054,0.000083678875],"domain_scores_gemma":[0.9991217,0.0003637624,0.0001514803,0.00006447628,0.00024626238,0.00005226978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012711345,0.00069057895,0.000571633,0.0006124758,0.00026906224,0.00079117523,0.0009722535,0.00083908206,0.001204677],"category_scores_gemma":[0.0023504146,0.00028993603,0.0005943196,0.00025662422,0.0008473481,0.001287409,0.0009905003,0.0008989803,0.00013540841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013053649,0.00004415295,0.0016445265,0.00003163761,0.000029838022,0.000050481893,0.000047266672,0.96220654,0.0044152658,0.0032615392,0.00016240866,0.027975818],"study_design_scores_gemma":[8.9218315e-7,0.000011296007,0.000116593124,8.822667e-7,0.0000021569565,0.0000024021454,0.0000015831474,0.9988331,0.0006450208,0.00036682806,0.000016865339,0.0000023137409],"about_ca_topic_score_codex":0.011489146,"about_ca_topic_score_gemma":0.0051522194,"teacher_disagreement_score":0.011489146,"about_ca_system_score_codex":0.0017618915,"about_ca_system_score_gemma":0.0010452594,"threshold_uncertainty_score":0.022844553},"labels":[],"label_agreement":null},{"id":"W4310023372","doi":"10.46873/2300-3960.1369","title":"Predicting the stability of open stopes using Machine Learning","year":2022,"lang":"en","type":"article","venue":"Journal of Sustainable Mining","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stability (learning theory); Logistic regression; Excavation; Random forest; Machine learning; Open-pit mining; Graph; Artificial intelligence; Computer science; Engineering; Algorithm; Mining engineering; Geotechnical engineering; Theoretical computer science","score_opus":0.027536477660453834,"score_gpt":0.2606991879774628,"score_spread":0.23316271031700894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310023372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85089874,0.0006662891,0.14357768,0.00011725536,0.000035328165,0.0000692264,0.0016510641,0.0006662729,0.002318208],"genre_scores_gemma":[0.9785025,0.00014730162,0.019219477,0.000005372752,0.00001078298,0.000023010556,0.0014531065,0.00001951501,0.0006190881],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993901,0.000090928435,0.00006740705,0.00017422739,0.00020467328,0.000072562114],"domain_scores_gemma":[0.9975178,0.001186223,0.0005340633,0.00015515664,0.00051329035,0.00009342329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008523518,0.00061815407,0.00049953884,0.005019223,0.00030211473,0.00077658857,0.00063532236,0.0007241057,0.0010350425],"category_scores_gemma":[0.0034607782,0.00020484433,0.0008127247,0.0024615068,0.0003238453,0.0011053492,0.00040856295,0.00034477166,0.00052523304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033523593,0.0001985654,0.33661768,0.00025009547,0.00018261657,0.00074730976,0.00021981659,0.38824743,0.007822463,0.0015304568,0.0021284001,0.26172],"study_design_scores_gemma":[0.000008135393,0.00012364957,0.06759157,0.000027664724,0.000039228562,0.00016318896,0.00024298186,0.9251994,0.0039728167,0.0014572851,0.0011458626,0.000028111395],"about_ca_topic_score_codex":0.0053397194,"about_ca_topic_score_gemma":0.0069498676,"teacher_disagreement_score":0.0053397194,"about_ca_system_score_codex":0.0004619648,"about_ca_system_score_gemma":0.00031968995,"threshold_uncertainty_score":0.010617256},"labels":[],"label_agreement":null},{"id":"W4310148873","doi":"10.46855/energy-proceedings-10277","title":"Transforming Power Draw Trend of Ore Crushing by Applying Microwave Heating","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Lembaga Pengelola Dana Pendidikan","keywords":"Breakage; Comminution; Microwave; Brittleness; Crusher; Materials science; Microwave heating; Power (physics); Raw material; High energy; Environmental science; Nuclear engineering; Mining engineering; Metallurgy; Composite material; Engineering; Engineering physics","score_opus":0.013084539872576517,"score_gpt":0.2378121388585298,"score_spread":0.2247275989859533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310148873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97064644,0.0005223174,0.022221839,0.000042940468,0.000024540024,0.000023442195,0.00042663066,0.000527329,0.0055645495],"genre_scores_gemma":[0.99583733,0.00018084877,0.0023701235,0.0000072835846,0.0000052210285,0.000005935262,0.00013838836,0.000034192424,0.0014206149],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989784,0.000005871705,0.0000040832388,0.000030623796,0.00005027173,0.0000113501965],"domain_scores_gemma":[0.999861,0.000040146733,0.000026768928,0.000017384853,0.000048617316,0.0000060001603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010289322,0.00020407331,0.00013905039,0.0006058568,0.00008984257,0.00026480076,0.00018428767,0.00018917242,0.0019120551],"category_scores_gemma":[0.0003135417,0.000107566695,0.0001275947,0.00056593824,0.00014696282,0.00028004858,0.00008589509,0.00022683997,0.00028472772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037641695,0.000042519623,0.01257918,0.00022395211,0.000018203107,0.0002444857,0.00018411243,0.0025929164,0.9223467,0.00035422092,0.0003660057,0.060671244],"study_design_scores_gemma":[0.000010585357,0.00026992263,0.10461692,0.000013769539,0.00003830691,0.0003123272,0.00020113502,0.027078928,0.8645128,0.00027327138,0.0026452797,0.000026611284],"about_ca_topic_score_codex":0.00069272914,"about_ca_topic_score_gemma":0.0009330346,"teacher_disagreement_score":0.0019120551,"about_ca_system_score_codex":0.00011515629,"about_ca_system_score_gemma":0.00006498068,"threshold_uncertainty_score":0.0063964725},"labels":[],"label_agreement":null},{"id":"W4311876333","doi":"10.1002/cjce.24798","title":"Identification of abnormal conditions for gold flotation process based on multivariate information fusion and double‐channel convolutional neural network","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Convolutional neural network; Computer science; Fuse (electrical); Channel (broadcasting); Artificial intelligence; Process (computing); Multivariate statistics; Pattern recognition (psychology); Reliability (semiconductor); Data mining; Machine learning; Engineering","score_opus":0.009391777393836608,"score_gpt":0.20724601565016007,"score_spread":0.19785423825632345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311876333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51914394,0.0002721029,0.4766302,0.00018756288,0.00007219458,0.00005626854,0.00016936798,0.0012940777,0.0021742221],"genre_scores_gemma":[0.9857233,0.00004263586,0.013675372,0.000016643473,0.000008438226,0.00001181041,0.000068015506,0.000011521914,0.00044212872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975497,0.00002011885,0.000015219911,0.00008320618,0.00008764169,0.00003886033],"domain_scores_gemma":[0.99971384,0.00007350367,0.000056662135,0.000022903923,0.00011233782,0.000020761943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046602395,0.0007360721,0.00053176255,0.0011341387,0.00029719246,0.00047093348,0.00047535787,0.00052594993,0.0006250068],"category_scores_gemma":[0.00077605335,0.0002763291,0.00062463724,0.00043074592,0.00029255584,0.0007723391,0.0005342059,0.00042706437,0.00010221004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006118276,0.00028399736,0.029439118,0.00013364245,0.00018498831,0.0003910496,0.00018865435,0.66040194,0.06401761,0.0012467536,0.0013102045,0.24179026],"study_design_scores_gemma":[0.0000023290493,0.000013736917,0.002815269,0.0000013320429,0.000007730915,0.000011443807,0.000005903883,0.99434316,0.0026278947,0.00012181749,0.000044059536,0.000005252945],"about_ca_topic_score_codex":0.012263007,"about_ca_topic_score_gemma":0.00928339,"teacher_disagreement_score":0.012263007,"about_ca_system_score_codex":0.0008336671,"about_ca_system_score_gemma":0.0006074926,"threshold_uncertainty_score":0.024383247},"labels":[],"label_agreement":null},{"id":"W4312403637","doi":"10.1016/j.ifacol.2022.09.236","title":"An Observer to Detect Infrequently-Occurring Disturbances in Grinding Operations","year":2022,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec-Société et Culture","keywords":"Grinding; Comminution; Kalman filter; Observer (physics); Control theory (sociology); Computer science; Process (computing); Sensitivity (control systems); Process engineering; Environmental science; Engineering; Control (management); Materials science; Mechanical engineering; Artificial intelligence","score_opus":0.015593351143020176,"score_gpt":0.25556156562034377,"score_spread":0.23996821447732358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312403637","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055447936,0.000096492106,0.9420962,0.00008961911,0.00008538029,0.00005045717,0.000023723656,0.00070830184,0.001401951],"genre_scores_gemma":[0.952587,0.000071052535,0.04587094,0.000038734328,0.000018565412,0.000041375464,0.00004988911,0.000027435126,0.0012950245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960345,0.000059997277,0.000026514092,0.00009858333,0.00015811896,0.000053342632],"domain_scores_gemma":[0.99844295,0.0006547551,0.00023041347,0.00017478886,0.00044527272,0.00005186209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009102647,0.00049959816,0.0007270402,0.0002532283,0.00024295218,0.0005103808,0.0007401338,0.00064290944,0.0007738589],"category_scores_gemma":[0.00375921,0.0003057483,0.00037234635,0.00012419102,0.0003620307,0.0006747218,0.0005075028,0.00079808594,0.00024312412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000878021,0.00029905912,0.0074009793,0.00022363424,0.00011679803,0.00026769686,0.00022936372,0.7208378,0.1061943,0.0045995535,0.0011885051,0.15776438],"study_design_scores_gemma":[0.000014262072,0.00012592076,0.000734725,0.0000033772812,0.0000092369055,0.000017252762,0.0000065516397,0.99347794,0.005018912,0.00027713415,0.0003079963,0.0000067114865],"about_ca_topic_score_codex":0.0044278633,"about_ca_topic_score_gemma":0.0044376925,"teacher_disagreement_score":0.0044278633,"about_ca_system_score_codex":0.00057038886,"about_ca_system_score_gemma":0.00074562064,"threshold_uncertainty_score":0.0088041425},"labels":[],"label_agreement":null},{"id":"W4312567700","doi":"10.1016/j.ifacol.2022.09.247","title":"Application of Multivariable Data Analysis in Mineral Processing","year":2022,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Sherritt (Canada)","funders":"Alberta Innovates","keywords":"Soft sensor; Multivariable calculus; Computer science; Key (lock); Data mining; Data processing; Operator (biology); Nonlinear system; Process (computing); Sampling (signal processing); Control engineering; Artificial neural network; Machine learning; Engineering; Filter (signal processing); Database","score_opus":0.019411089575003582,"score_gpt":0.2624817815558862,"score_spread":0.2430706919808826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312567700","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031233747,0.00044346254,0.9641853,0.0003242601,0.00006951377,0.00010958164,0.00034729805,0.00086049974,0.0024263489],"genre_scores_gemma":[0.78812945,0.0007129236,0.20886162,0.00011937873,0.000076166536,0.00014546518,0.000506263,0.000081133,0.0013674537],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989317,0.00031706187,0.000075849304,0.00020940669,0.00041965838,0.000046351735],"domain_scores_gemma":[0.99763227,0.0013500142,0.0001840352,0.00023967442,0.00055238523,0.000041597643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001310416,0.0004688636,0.0005409956,0.0013593128,0.00033507563,0.0011583837,0.0004692153,0.00043090878,0.0016534352],"category_scores_gemma":[0.0055470592,0.00022927814,0.0005069949,0.0017944102,0.0003929692,0.0006101816,0.0008210013,0.0006594933,0.0003195111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025946982,0.00030386084,0.02067109,0.00075340446,0.0002595667,0.00047160476,0.00040223228,0.32333666,0.038643725,0.020720039,0.0026630147,0.59151536],"study_design_scores_gemma":[0.000023647663,0.00022147117,0.009856422,0.00004661773,0.000042194566,0.00014615808,0.00015204892,0.9446834,0.01682104,0.016823558,0.011129837,0.000053745276],"about_ca_topic_score_codex":0.0033901571,"about_ca_topic_score_gemma":0.0026680874,"teacher_disagreement_score":0.0033901571,"about_ca_system_score_codex":0.00048349198,"about_ca_system_score_gemma":0.0008652012,"threshold_uncertainty_score":0.0069302917},"labels":[],"label_agreement":null},{"id":"W4312911364","doi":"10.1016/j.ifacol.2022.09.253","title":"The effect of ore heterogeneity on the net value of a grinding/flotation product","year":2022,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Grinding; Ball mill; Standard deviation; Mill; Environmental science; Mathematics; Statistics; Engineering; Metallurgy; Materials science; Mechanical engineering","score_opus":0.008996234315513768,"score_gpt":0.23049383304393758,"score_spread":0.2214975987284238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312911364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947848,0.000026313155,0.0034371722,0.000031841228,0.0000032928115,0.000021475864,0.00018199538,0.000020136666,0.0014929932],"genre_scores_gemma":[0.9990049,0.000013693159,0.00060285797,0.0000036398912,4.5111923e-7,0.0000060470284,0.00006475594,0.000003190927,0.0003005003],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995702,0.00011893076,0.000018861489,0.00008332007,0.00009421189,0.00011444661],"domain_scores_gemma":[0.99708945,0.0021382857,0.00037698395,0.00017220849,0.00014536563,0.00007773223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010054101,0.00034285287,0.0002924917,0.0003029217,0.00022620606,0.00080235535,0.0005789836,0.0006024681,0.001785898],"category_scores_gemma":[0.0032492236,0.00022373398,0.00056262594,0.00032628488,0.00054318015,0.0006028736,0.00034696635,0.00044012984,0.00013073526],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004597935,0.00010395134,0.016325643,0.000031410902,0.000041903477,0.0002506801,0.000020355197,0.97000015,0.007500792,0.0008639095,0.00008831714,0.004312992],"study_design_scores_gemma":[0.000055238805,0.0015134142,0.046727803,0.000009908288,0.00007699341,0.00025907677,0.00014734028,0.9330129,0.016289948,0.0014181758,0.00044794477,0.00004124534],"about_ca_topic_score_codex":0.005024238,"about_ca_topic_score_gemma":0.005656278,"teacher_disagreement_score":0.005024238,"about_ca_system_score_codex":0.0009938424,"about_ca_system_score_gemma":0.0004157559,"threshold_uncertainty_score":0.009989977},"labels":[],"label_agreement":null},{"id":"W4312914441","doi":"10.1016/j.ifacol.2022.09.246","title":"Multivariate Specifications in the Mineral Processing Field: An introduction","year":2022,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Rio Tinto; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Multivariate statistics; Mineral processing; Profitability index; Grinding; Computer science; Raw data; Process (computing); Process engineering; Statistics; Mathematics; Machine learning; Engineering; Mechanical engineering; Metallurgy; Materials science","score_opus":0.031479924397778546,"score_gpt":0.25883704359278364,"score_spread":0.2273571191950051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312914441","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008302717,0.028610507,0.94343805,0.0029770965,0.0005937969,0.00007304157,0.00044422722,0.00034338367,0.01521709],"genre_scores_gemma":[0.366536,0.070023924,0.53534514,0.0027244375,0.009098067,0.00050729286,0.0013807903,0.00065854064,0.013725813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966652,0.0015836355,0.0002380373,0.0005451335,0.000811203,0.00015676286],"domain_scores_gemma":[0.9904304,0.0073627164,0.0005110953,0.0005557776,0.0009691921,0.00017076694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00458633,0.0016152859,0.0011360461,0.0031245989,0.00054838695,0.002965171,0.0016165113,0.0018863569,0.004446834],"category_scores_gemma":[0.0105548,0.00097132067,0.0023397696,0.0047595506,0.0039653974,0.0044332556,0.0017681102,0.0042612604,0.001265818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000816239,0.00016823792,0.0063112993,0.00085229485,0.00014045347,0.0005099538,0.0007750729,0.06854612,0.002142808,0.76100504,0.010078985,0.14938824],"study_design_scores_gemma":[0.00002343839,0.0002743185,0.004926795,0.00042416554,0.000063694955,0.0008696396,0.00029065914,0.21714072,0.0012574559,0.6680238,0.10654224,0.00016304944],"about_ca_topic_score_codex":0.004849444,"about_ca_topic_score_gemma":0.002106475,"teacher_disagreement_score":0.004849444,"about_ca_system_score_codex":0.001826627,"about_ca_system_score_gemma":0.0009780923,"threshold_uncertainty_score":0.024255097},"labels":[],"label_agreement":null},{"id":"W4312964074","doi":"10.1016/j.ifacol.2022.09.243","title":"Economic model predictive control of a high-pressure grinding rolls circuit: energy considerations","year":2022,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Grinding; Control theory (sociology); Constraint (computer-aided design); Population; Mill; Engineering; Computer science; Control engineering; Control (management); Mechanical engineering; Artificial intelligence","score_opus":0.01027205276731548,"score_gpt":0.20043110142896103,"score_spread":0.19015904866164554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312964074","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3925018,0.00074299815,0.5704431,0.0013711551,0.00012550218,0.00017019387,0.00020905143,0.00041998117,0.034016214],"genre_scores_gemma":[0.99449,0.000098639124,0.004188626,0.00002772978,0.000008490497,0.000029022176,0.000027693048,0.0000075252706,0.0011221836],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996847,0.0001113765,0.000008681537,0.000048396152,0.00008587635,0.00006098327],"domain_scores_gemma":[0.99902904,0.0006312882,0.0001180969,0.000042933367,0.00014961541,0.000028991442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010782753,0.00061627396,0.0006921224,0.0002784987,0.0003326661,0.0013184997,0.00070960954,0.00087039976,0.0018665884],"category_scores_gemma":[0.0019005131,0.0002723441,0.0004116552,0.0002932523,0.0008304608,0.0008732204,0.0006086311,0.001146941,0.00013402493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003418554,0.000011836152,0.00016292081,0.000020529727,0.0000069536763,0.000014372644,0.0000061887818,0.995259,0.0004022166,0.0018376696,0.00007586042,0.0021681762],"study_design_scores_gemma":[0.0000060975553,0.000029319139,0.00011883802,0.0000017208528,0.0000037643665,0.0000019709514,0.000004186506,0.9989736,0.00020855985,0.00055282156,0.00009719323,0.0000019832332],"about_ca_topic_score_codex":0.013912444,"about_ca_topic_score_gemma":0.008881146,"teacher_disagreement_score":0.013912444,"about_ca_system_score_codex":0.00094667193,"about_ca_system_score_gemma":0.00102939,"threshold_uncertainty_score":0.027662933},"labels":[],"label_agreement":null},{"id":"W4312974867","doi":"10.4236/gm.2022.124006","title":"Development and Testing of a Method to Estimate the Mineral Composition of Ore from Chemical Assays with a View toward Geometallurgy: Application to an Iron Ore Concentrator","year":2022,"lang":"en","type":"article","venue":"Geomaterials","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Iron Ore Company (Canada); Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Concentrator; Iron ore; Mineral; Block (permutation group theory); Mineral processing; Gold ore; Metallurgy; Mineralogy; Environmental science; Geology; Materials science; Computer science; Mathematics","score_opus":0.020874073154420164,"score_gpt":0.28048327847620064,"score_spread":0.25960920532178045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312974867","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05837603,0.0001762152,0.93832076,0.000103357306,0.000047943646,0.00026793304,0.00019110931,0.0016714305,0.0008452523],"genre_scores_gemma":[0.3221377,0.00024871726,0.6751106,0.000052806645,0.000017047438,0.0002842191,0.00019704638,0.00014728705,0.0018046357],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991997,0.000105848565,0.000039407383,0.00018167582,0.00044327858,0.000030105075],"domain_scores_gemma":[0.9985,0.000683106,0.00010585547,0.00020853514,0.0004666402,0.000035993296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015632244,0.0008090189,0.0007278364,0.0007260888,0.00039947213,0.0007503658,0.0014234234,0.0018228611,0.0009681604],"category_scores_gemma":[0.0031187644,0.00055552385,0.00050383457,0.0003998848,0.00045411548,0.0007125207,0.0006778209,0.0008857888,0.00069744996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026264068,0.0004189734,0.008960583,0.00038268624,0.00008745731,0.00014436376,0.00015837123,0.06563844,0.78141785,0.0014686178,0.0004599695,0.1406001],"study_design_scores_gemma":[0.00003742652,0.0005305603,0.002982156,0.000014404927,0.000032915275,0.00016285953,0.000048652302,0.6708201,0.32261926,0.0005035943,0.0021910875,0.00005703343],"about_ca_topic_score_codex":0.003747049,"about_ca_topic_score_gemma":0.004229906,"teacher_disagreement_score":0.003747049,"about_ca_system_score_codex":0.00044875726,"about_ca_system_score_gemma":0.0011615355,"threshold_uncertainty_score":0.008267224},"labels":[],"label_agreement":null},{"id":"W4313117286","doi":"10.1016/j.ifacol.2022.09.235","title":"Improving first-principle model accuracy using a hybrid approach: A case study to high pressure grinding rolls in mineral industry","year":2022,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Grinding; Mineral processing; Perceptron; Computer science; Process (computing); Process engineering; Artificial neural network; Engineering; Mechanical engineering; Materials science; Artificial intelligence; Metallurgy","score_opus":0.03281908575740276,"score_gpt":0.2757385748892342,"score_spread":0.24291948913183142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313117286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8256482,0.0004365154,0.169267,0.0003515891,0.000028966724,0.000078367244,0.00015431168,0.0012096508,0.0028254467],"genre_scores_gemma":[0.9784979,0.000051722087,0.020700805,0.000015780544,0.0000041586923,0.000018266479,0.00006320379,0.000030775234,0.00061727175],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950075,0.00019497197,0.00003141177,0.00010838865,0.00010977617,0.00005462935],"domain_scores_gemma":[0.998055,0.0013345073,0.000106833904,0.00017368162,0.00028438147,0.000045712713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017364903,0.0009945366,0.0007645393,0.00045815826,0.000504036,0.0012024931,0.00087627815,0.0014658755,0.000892173],"category_scores_gemma":[0.002914569,0.00042265694,0.0007642869,0.00036527423,0.0004541323,0.00083317637,0.0007052701,0.0011135123,0.00018892098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024329298,0.00017166484,0.004716461,0.000108655855,0.00007858819,0.00028424064,0.00017115074,0.9528219,0.0056010885,0.00054594845,0.00023495688,0.035022173],"study_design_scores_gemma":[0.000007896493,0.00008416172,0.0008677635,0.000003446322,0.0000112722855,0.000023118268,0.000021439953,0.99656254,0.0020529612,0.00019681793,0.00016080195,0.000007702874],"about_ca_topic_score_codex":0.01655893,"about_ca_topic_score_gemma":0.015510418,"teacher_disagreement_score":0.01655893,"about_ca_system_score_codex":0.00095263135,"about_ca_system_score_gemma":0.00074072264,"threshold_uncertainty_score":0.03292513},"labels":[],"label_agreement":null},{"id":"W4313431239","doi":"10.1016/j.mineng.2022.107971","title":"Dry laboratories – Mapping the required instrumentation and infrastructure for online monitoring, analysis, and characterization in the mineral industry","year":2022,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"Luleå Tekniska Universitet","keywords":"Instrumentation (computer programming); Data quality; Beneficiation; Data management; Computer science; Engineering; Data science; Data mining; Chemistry; Operations management","score_opus":0.014333602516432118,"score_gpt":0.22831858252775697,"score_spread":0.21398498001132485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313431239","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22110933,0.034733664,0.46741858,0.05094485,0.0014066279,0.0017708311,0.018992791,0.010899564,0.19272378],"genre_scores_gemma":[0.5596253,0.028035779,0.3679794,0.004408618,0.00050176587,0.0008562527,0.015443483,0.0018099534,0.021339377],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9929871,0.0012618911,0.0004524148,0.0011702956,0.003390129,0.0007381952],"domain_scores_gemma":[0.98947656,0.0026072212,0.0014631904,0.0015145934,0.0042935056,0.00064482033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072737224,0.0007771845,0.00049397565,0.007759968,0.0018987627,0.0066682776,0.0023255576,0.0021985152,0.007688983],"category_scores_gemma":[0.012904428,0.00065990136,0.0007729922,0.007657272,0.00233192,0.012694051,0.00666451,0.002194643,0.0051575946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034813726,0.0003212168,0.057187896,0.005742474,0.00016840053,0.0011190299,0.0041054273,0.016059186,0.030306403,0.08417974,0.060751628,0.73971033],"study_design_scores_gemma":[0.000067790636,0.0003509124,0.042711783,0.0026404385,0.00010411951,0.0009443644,0.0091265,0.01882095,0.01932239,0.0472945,0.8584322,0.00018417653],"about_ca_topic_score_codex":0.018089287,"about_ca_topic_score_gemma":0.016409535,"teacher_disagreement_score":0.018089287,"about_ca_system_score_codex":0.0037595658,"about_ca_system_score_gemma":0.012809402,"threshold_uncertainty_score":0.038467586},"labels":[],"label_agreement":null},{"id":"W4313505907","doi":"10.1007/978-3-031-17425-4_17","title":"Electrically Heated Fluid Bed as a Low-Carbon Option for Pyrometallurgical Processes","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Carbon fibers; Materials science; Metallurgy; Composite material","score_opus":0.018692919340689847,"score_gpt":0.2272878661751883,"score_spread":0.20859494683449847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313505907","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24327819,0.10145114,0.17353038,0.0012662798,0.0026211194,0.0001452335,0.000644129,0.0019382676,0.47512525],"genre_scores_gemma":[0.6204491,0.025169356,0.050854433,0.00029004787,0.0002900216,0.00006259489,0.0004946573,0.00036816925,0.3020216],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992454,0.0000051723314,0.0000015211833,0.000010907104,0.00004807468,0.000009824613],"domain_scores_gemma":[0.99998224,0.000007678568,0.0000013628187,0.0000024823426,0.0000040679265,0.0000022074453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007797945,0.00028026602,0.0002109448,0.000491582,0.0003186958,0.0007170113,0.00051087985,0.00049412635,0.005877067],"category_scores_gemma":[0.00007609784,0.000180113,0.00025337128,0.00042563255,0.00025179342,0.00081956724,0.0004160477,0.0006670306,0.0020067522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019698602,0.00018966844,0.00017794131,0.0008073823,0.000017706065,0.0006199167,0.00010935351,0.005793864,0.63443434,0.045870908,0.0068879244,0.30489403],"study_design_scores_gemma":[0.000020131907,0.0003273784,0.00094520627,0.00014274319,0.000023105767,0.0010369997,0.000088514105,0.014606216,0.7706759,0.012743126,0.19935432,0.000036391786],"about_ca_topic_score_codex":0.00027714862,"about_ca_topic_score_gemma":0.0012753833,"teacher_disagreement_score":0.005877067,"about_ca_system_score_codex":0.0003539601,"about_ca_system_score_gemma":0.00013320289,"threshold_uncertainty_score":0.01966077},"labels":[],"label_agreement":null},{"id":"W4313505967","doi":"10.1007/978-3-031-17425-4_102","title":"Microwave Impacts on More Sustainable Kimberlite Processing","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Kimberlite; Microwave; Geology; Environmental science; Geochemistry; Computer science; Telecommunications; Mantle (geology)","score_opus":0.015872449878049328,"score_gpt":0.2309992272176582,"score_spread":0.21512677733960886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313505967","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056278512,0.0765393,0.011873022,0.002011201,0.0012051578,0.000048356622,0.00022857534,0.0002962866,0.8515196],"genre_scores_gemma":[0.12915587,0.04410021,0.0077829454,0.0005983415,0.00030864024,0.000022867449,0.00020499666,0.00016286486,0.8176633],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99995315,0.0000031760865,9.2887205e-7,0.000005727455,0.00003171935,0.0000052816044],"domain_scores_gemma":[0.9999819,0.000007870034,0.0000015231882,0.0000021055428,0.000005219067,0.0000013483301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009157325,0.0002459316,0.00015504312,0.00030104828,0.00024107481,0.0009283146,0.00031149422,0.00049495883,0.020016845],"category_scores_gemma":[0.00007309435,0.00014459975,0.0001625545,0.0004856951,0.00019695597,0.0006881813,0.00032894535,0.00047646096,0.0025244865],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017443593,0.00015266852,0.00036630649,0.0016497229,0.000023383625,0.0005220668,0.00039705614,0.0033898964,0.32527214,0.13679627,0.04103113,0.4902249],"study_design_scores_gemma":[0.000010204439,0.000105190134,0.0019232571,0.00018761774,0.000017283306,0.0004275529,0.00023819855,0.0012725391,0.07291178,0.013824623,0.9090696,0.000012172926],"about_ca_topic_score_codex":0.000942753,"about_ca_topic_score_gemma":0.0051902547,"teacher_disagreement_score":0.020016845,"about_ca_system_score_codex":0.00057212467,"about_ca_system_score_gemma":0.00020908096,"threshold_uncertainty_score":0.06696302},"labels":[],"label_agreement":null},{"id":"W4313542978","doi":"10.1016/j.ijmst.2022.10.006","title":"Drill bit wear monitoring and failure prediction for mining automation","year":2023,"lang":"en","type":"article","venue":"International Journal of Mining Science and Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Artificial neural network; Engineering; Bit (key); Backpropagation; Drill bit; Tool wear; Time domain; Support vector machine; Wavelet; Computer science; Artificial intelligence; Pattern recognition (psychology); Drilling; Machining; Computer vision","score_opus":0.011757311077880367,"score_gpt":0.26704397417515424,"score_spread":0.2552866630972739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313542978","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26718944,0.0011713698,0.72644746,0.0001643209,0.000059439964,0.00007511559,0.00039323687,0.0018536892,0.0026458118],"genre_scores_gemma":[0.9576332,0.00033506955,0.040591273,0.000018314015,0.000021486425,0.00003208342,0.00017585586,0.000017760069,0.0011750595],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997906,0.000030892123,0.0000155512,0.000050829673,0.00009726743,0.000014915177],"domain_scores_gemma":[0.99954754,0.00014533401,0.00009647967,0.00006508845,0.000125687,0.000019822988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002512905,0.00056006794,0.00041555258,0.00076272513,0.00014979954,0.00039004852,0.00034107565,0.0003651043,0.0009309079],"category_scores_gemma":[0.0008731289,0.0001683629,0.0002193385,0.0003726784,0.00015502184,0.0004779506,0.000308202,0.00031674144,0.00028267692],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005254621,0.00020656353,0.03534071,0.00037979556,0.000089388675,0.00029484046,0.000155441,0.16808368,0.12998484,0.0012064709,0.0018768181,0.66185594],"study_design_scores_gemma":[0.000007819897,0.00024071055,0.024109883,0.000027033646,0.00003438908,0.00019242908,0.0000568854,0.95244795,0.019979566,0.0012970107,0.0015849707,0.000021431495],"about_ca_topic_score_codex":0.0012281407,"about_ca_topic_score_gemma":0.0018495217,"teacher_disagreement_score":0.0012281407,"about_ca_system_score_codex":0.00016373114,"about_ca_system_score_gemma":0.00019294769,"threshold_uncertainty_score":0.0031141639},"labels":[],"label_agreement":null},{"id":"W4313908475","doi":"10.1088/1755-1315/1124/1/012072","title":"Data preparation for machine learning in rock engineering","year":2023,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Machine learning; Artificial intelligence; Process (computing); Computer science; Quality (philosophy); Set (abstract data type)","score_opus":0.02268584249033009,"score_gpt":0.22813205967515146,"score_spread":0.20544621718482137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313908475","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03368722,0.0016589805,0.9302015,0.0037527515,0.00086762814,0.005664665,0.008776508,0.0061079306,0.009282907],"genre_scores_gemma":[0.08525563,0.00091433444,0.88759446,0.00057932205,0.00023330908,0.006115468,0.015363519,0.00114752,0.0027964415],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.97615415,0.012435345,0.004092558,0.0017788414,0.005031677,0.00050732156],"domain_scores_gemma":[0.8242733,0.08743401,0.010338929,0.032920357,0.043196302,0.001837096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031636853,0.0011024782,0.0011730543,0.004662573,0.0019840081,0.004525625,0.0032951494,0.0016385005,0.007730163],"category_scores_gemma":[0.14663675,0.0009341447,0.0014419731,0.004310452,0.0020077282,0.003479978,0.004399699,0.003756886,0.007136228],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023665952,0.0011398577,0.021443862,0.0046342,0.00018982652,0.00068815675,0.0024409331,0.032043327,0.030928379,0.0378005,0.06322464,0.80309963],"study_design_scores_gemma":[0.0005533315,0.0017888541,0.025574006,0.004975114,0.00025336817,0.0006167411,0.0037165629,0.1435841,0.2241031,0.10349908,0.49075112,0.00058463245],"about_ca_topic_score_codex":0.0024617773,"about_ca_topic_score_gemma":0.0034097056,"teacher_disagreement_score":0.031636853,"about_ca_system_score_codex":0.0014644655,"about_ca_system_score_gemma":0.006662655,"threshold_uncertainty_score":0.16731364},"labels":[],"label_agreement":null},{"id":"W4317542777","doi":"10.1093/micmic/ozac006","title":"Sample Preparation Biases in Automated Quantitative Mineralogical Analysis of Mine Wastes","year":2022,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Queen's University","keywords":"Sample preparation; Tailings; Sample (material); Mineralogy; Materials science; Particle size; Geology; Environmental science; Metallurgy; Chemistry","score_opus":0.02513205446289053,"score_gpt":0.3070529517382011,"score_spread":0.28192089727531056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317542777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6600625,0.0012955719,0.33474582,0.00023598145,0.00014110285,0.00036191932,0.00034129084,0.0013766207,0.0014392161],"genre_scores_gemma":[0.7688663,0.00046447653,0.22817902,0.00027743596,0.00003670454,0.00038672547,0.0004969066,0.0005565846,0.0007359203],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.993747,0.0018739677,0.00045537265,0.0011572556,0.0025368338,0.0002296666],"domain_scores_gemma":[0.983991,0.009761282,0.0016719415,0.0021000626,0.002381753,0.000094002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075920145,0.0006085873,0.0004885498,0.00080128526,0.00071240455,0.0008863845,0.0009427421,0.00069380377,0.0007846229],"category_scores_gemma":[0.014881757,0.000578332,0.0002459846,0.0007673696,0.0012253223,0.0006276341,0.0008820805,0.00046657622,0.00030577776],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000430713,0.00010062978,0.01815972,0.0002567447,0.00007708051,0.000137202,0.00036395763,0.0032101877,0.9465383,0.0005753695,0.00035501222,0.029795049],"study_design_scores_gemma":[0.000017607239,0.0002883195,0.029034207,0.000040294803,0.000056728182,0.00026897335,0.00015277963,0.02128553,0.9448277,0.0006307686,0.0033642019,0.00003298104],"about_ca_topic_score_codex":0.0012925005,"about_ca_topic_score_gemma":0.0029445384,"teacher_disagreement_score":0.0075920145,"about_ca_system_score_codex":0.0005594749,"about_ca_system_score_gemma":0.0005203722,"threshold_uncertainty_score":0.04015088},"labels":[],"label_agreement":null},{"id":"W4318822028","doi":"10.2139/ssrn.4343248","title":"A Machine Learning Approach to Mineralogical Characterization from Conventional Well Logs - Example From the Horn River Basin","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"French horn; Structural basin; Geology; Characterization (materials science); Reservoir modeling; Computer science; Mining engineering; Engineering; Petroleum engineering; Geomorphology; Acoustics; Materials science; Physics","score_opus":0.016392939018130707,"score_gpt":0.20786939149906214,"score_spread":0.19147645248093143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318822028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8292788,0.0005932593,0.16005465,0.0005797351,0.000017777998,0.00007466544,0.0015747416,0.00085789064,0.006968402],"genre_scores_gemma":[0.94310033,0.00014952774,0.05393086,0.00002143722,0.000008338078,0.00001920356,0.0006824505,0.000027463322,0.002060324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992883,0.000013388226,0.0000062886365,0.00001903021,0.00002338663,0.000009083566],"domain_scores_gemma":[0.9997576,0.000108435735,0.000024177569,0.000026233341,0.00007477803,0.000008774324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001863302,0.00035161607,0.0002706982,0.0011353245,0.00033699858,0.0005993448,0.0005166004,0.0005548561,0.0012269615],"category_scores_gemma":[0.00080808473,0.00013722555,0.00026218282,0.0012978584,0.00026727328,0.00040507974,0.00025420098,0.00034334778,0.00033607712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032859953,0.0003550666,0.08658837,0.00019741512,0.00007722564,0.0013064567,0.00037277132,0.45340818,0.040775612,0.0062155016,0.0031690954,0.40720564],"study_design_scores_gemma":[0.000016289161,0.0000426004,0.029159926,0.000010349064,0.000015231751,0.00013264158,0.00019292373,0.95888317,0.0047227885,0.0044294707,0.0023800055,0.000014694039],"about_ca_topic_score_codex":0.02819804,"about_ca_topic_score_gemma":0.04423966,"teacher_disagreement_score":0.02819804,"about_ca_system_score_codex":0.00041808508,"about_ca_system_score_gemma":0.0004895621,"threshold_uncertainty_score":0.056067824},"labels":[],"label_agreement":null},{"id":"W4319163393","doi":"10.1016/j.mineng.2023.108003","title":"Evaluation of logistic regression and support vector machine approaches for XRF based particle sorting for a copper ore","year":2023,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Support vector machine; Sorting; Collinearity; Principal component analysis; Artificial intelligence; Dimensionality reduction; Pattern recognition (psychology); Curse of dimensionality; Copper extraction techniques; Computer science; Data mining; Biological system; Mathematics; Copper; Statistics; Algorithm; Materials science; Metallurgy","score_opus":0.13023630384517856,"score_gpt":0.30546603364375996,"score_spread":0.1752297297985814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319163393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72286654,0.0019629532,0.26643953,0.00078923337,0.00017111967,0.00021751827,0.00038516233,0.003681849,0.003486069],"genre_scores_gemma":[0.9088448,0.00026233963,0.08738811,0.000065701475,0.000033212735,0.00007399827,0.00037563225,0.00010032219,0.0028558522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983621,0.0006736235,0.00012345561,0.00028099556,0.00042507355,0.0001346936],"domain_scores_gemma":[0.9893119,0.007129494,0.00045750893,0.00029732683,0.0026322384,0.00017167289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005496839,0.001080518,0.0011552684,0.0016706476,0.0005866935,0.0014741247,0.0014650067,0.001725635,0.0017147085],"category_scores_gemma":[0.011083428,0.00034913322,0.00080438826,0.0011419094,0.0003960808,0.0012020613,0.0008968961,0.0009076539,0.00059361],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033172544,0.001144408,0.026014185,0.000412204,0.0002578956,0.000198325,0.00015491637,0.48574442,0.0118988175,0.0014710396,0.002603132,0.46678334],"study_design_scores_gemma":[0.000019602463,0.00014819828,0.0015624947,0.0000049463583,0.00001646299,0.000017529874,0.00004110548,0.99543095,0.0024245854,0.00014103629,0.00018586776,0.0000073219167],"about_ca_topic_score_codex":0.01504431,"about_ca_topic_score_gemma":0.009248825,"teacher_disagreement_score":0.01504431,"about_ca_system_score_codex":0.0011974741,"about_ca_system_score_gemma":0.0015126553,"threshold_uncertainty_score":0.029913485},"labels":[],"label_agreement":null},{"id":"W4320517758","doi":"10.1016/j.engappai.2023.105868","title":"A novel self-learning fuzzy predictive control method for the cement mill: Simulation and experimental validation","year":2023,"lang":"en","type":"article","venue":"Engineering Applications of Artificial Intelligence","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Cement; Fuzzy logic; Grinding; Process (computing); Clinker (cement); Portland cement; Artificial intelligence; Materials science; Engineering; Mechanical engineering","score_opus":0.02924963058161985,"score_gpt":0.3173037660788351,"score_spread":0.28805413549721526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320517758","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15407984,0.0005004132,0.8369255,0.00020383179,0.00022447256,0.00022811146,0.000066131586,0.0012657989,0.0065059178],"genre_scores_gemma":[0.9160953,0.00012494982,0.08081617,0.000040072333,0.000014293682,0.00012609457,0.00003474552,0.000026878903,0.0027214112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998435,0.000024207702,0.000009205433,0.000033138313,0.00007540192,0.0000144773185],"domain_scores_gemma":[0.99963725,0.00013427963,0.00003870541,0.000034081524,0.00013681439,0.000018859662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055728195,0.00040397918,0.0006225108,0.0003118413,0.0004932428,0.00064648205,0.00090978126,0.0010088673,0.0019397053],"category_scores_gemma":[0.0006376797,0.0002628521,0.00033704902,0.00027866894,0.00045623476,0.00047830638,0.00033879836,0.00058226864,0.0002443609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003894283,0.00036648568,0.00081053644,0.00032960018,0.000067996734,0.00011122303,0.00009885714,0.83308893,0.03036493,0.0024820634,0.00085417007,0.1310358],"study_design_scores_gemma":[0.000022950622,0.00006668705,0.00011190933,0.00000238538,0.0000067516803,0.0000077379245,0.000002906014,0.9971409,0.002332165,0.000072298,0.00022911356,0.0000042220204],"about_ca_topic_score_codex":0.011861809,"about_ca_topic_score_gemma":0.009438367,"teacher_disagreement_score":0.011861809,"about_ca_system_score_codex":0.0005158492,"about_ca_system_score_gemma":0.0009230914,"threshold_uncertainty_score":0.023585498},"labels":[],"label_agreement":null},{"id":"W4321240028","doi":"10.1080/19392699.2023.2179042","title":"Coal rheology – the effect of coal origin, rank, and particle size","year":2023,"lang":"en","type":"article","venue":"International Journal of Coal Preparation and Utilization","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Teck (Canada); ArcelorMittal (Canada)","funders":"","keywords":"Coal; Rheology; Rank (graph theory); Particle size; Coal rank; Particle (ecology); Petroleum engineering; Environmental science; Mineralogy; Mining engineering; Geology; Materials science; Mathematics; Waste management; Composite material; Engineering; Paleontology","score_opus":0.02010772335976537,"score_gpt":0.31496439769927376,"score_spread":0.2948566743395084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321240028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966577,0.00045098504,0.0007705999,0.000021857777,0.000011292031,0.000035350637,0.00021096262,0.00002624825,0.0018149763],"genre_scores_gemma":[0.9969181,0.00024168489,0.00085980067,0.000023808077,0.0000034727725,0.0000100896505,0.0002592487,0.000020937507,0.0016629915],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996074,0.00004947914,0.000040056628,0.00006089562,0.00019409684,0.000048108726],"domain_scores_gemma":[0.99889827,0.0003706424,0.0001122453,0.00011008227,0.00042900146,0.00007969836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051666435,0.00022241849,0.0002263543,0.00037789217,0.00037322164,0.0005080328,0.00019728564,0.00015349784,0.0015234157],"category_scores_gemma":[0.0014123188,0.00014438249,0.00025819195,0.00042784287,0.00029117594,0.00031125793,0.00017960998,0.00031944318,0.00027219718],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010821492,0.00017925218,0.037080426,0.00014421198,0.00008543333,0.00015553542,0.00028352122,0.001177752,0.9426292,0.00009322941,0.00021782838,0.016871495],"study_design_scores_gemma":[0.000008620975,0.0013236515,0.28092358,0.000013595475,0.00007127705,0.00022045893,0.00026752765,0.0017670216,0.7129379,0.000049968447,0.002386516,0.000029928662],"about_ca_topic_score_codex":0.019532366,"about_ca_topic_score_gemma":0.039567463,"teacher_disagreement_score":0.019532366,"about_ca_system_score_codex":0.00035719873,"about_ca_system_score_gemma":0.00040030014,"threshold_uncertainty_score":0.038837314},"labels":[],"label_agreement":null},{"id":"W4321601084","doi":"10.21203/rs.3.rs-2598116/v1","title":"A supervised algorithm entirely trained on a synthetic dataset to segment granular suspension images","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nautical Research Society","funders":"Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Computer science; Artificial intelligence; Convolutional neural network; Suspension (topology); Construct (python library); Segmentation; Generalization; Pattern recognition (psychology); Synthetic data; Market segmentation; Field (mathematics); Image (mathematics); Artificial neural network; Mathematics","score_opus":0.08680068671941002,"score_gpt":0.3677319451123272,"score_spread":0.2809312583929172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321601084","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14494936,0.00081039354,0.816332,0.00039397134,0.00038077804,0.00073398714,0.0067715542,0.024178524,0.005449512],"genre_scores_gemma":[0.27015987,0.00030936522,0.69374746,0.0002858549,0.000091805145,0.00064578175,0.028140407,0.00084743486,0.0057719173],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993344,0.00006610262,0.000037175956,0.0004025821,0.00008320291,0.00007655996],"domain_scores_gemma":[0.9990976,0.00021187878,0.00009521115,0.00029287467,0.00025422106,0.000048296883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001026818,0.0019548277,0.0007930449,0.0017665102,0.00047046752,0.001148635,0.0017529866,0.00202959,0.0022848067],"category_scores_gemma":[0.002155934,0.00051558844,0.0011739866,0.0012317208,0.00069902034,0.0011050712,0.00091164163,0.0013590797,0.002425139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006163561,0.0007923058,0.0058028083,0.0005881819,0.00037742296,0.00031662852,0.0001458624,0.15245873,0.09135591,0.0027419834,0.02474242,0.7200614],"study_design_scores_gemma":[0.00003092943,0.00012131139,0.0017240344,0.000027204302,0.00004125185,0.00015263134,0.000046139292,0.9598298,0.031399533,0.0017403673,0.0048658247,0.000021090089],"about_ca_topic_score_codex":0.006702492,"about_ca_topic_score_gemma":0.01510983,"teacher_disagreement_score":0.006702492,"about_ca_system_score_codex":0.0010049504,"about_ca_system_score_gemma":0.0012733799,"threshold_uncertainty_score":0.013326943},"labels":[],"label_agreement":null},{"id":"W4322491013","doi":"10.1016/j.mineng.2023.108027","title":"Processing of micro-CT images of granodiorite rock samples using convolutional neural networks (CNN), Part II: Semantic segmentation using a 2.5D CNN","year":2023,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Object Research Systems (Canada)","funders":"BHP; University of Queensland","keywords":"Segmentation; Convolutional neural network; Artificial intelligence; Geology; Pattern recognition (psychology); Thresholding; Computer science; Mineralogy; Image (mathematics)","score_opus":0.03547706485828772,"score_gpt":0.24825601756940777,"score_spread":0.21277895271112005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322491013","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3599435,0.0012705233,0.61454177,0.000559854,0.00018887885,0.00043385453,0.0058158343,0.0068106777,0.010435214],"genre_scores_gemma":[0.60498434,0.0011140067,0.37163275,0.00028173285,0.000070046466,0.0002554441,0.009196851,0.0006138314,0.011850968],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986446,0.0000047343187,0.000007498238,0.000032131284,0.000053204683,0.000037933343],"domain_scores_gemma":[0.9998907,0.00001664689,0.000015362097,0.00001742132,0.000049104772,0.000010767596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017548319,0.00082306925,0.00042570962,0.0013205468,0.000248711,0.0007398292,0.0006121717,0.0006743615,0.003978285],"category_scores_gemma":[0.0003378609,0.00047897705,0.00075218466,0.00095991243,0.00032554043,0.00044803898,0.000512677,0.00051703735,0.0013666722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055737357,0.0001813216,0.0085801175,0.0005002026,0.00014344444,0.0005386911,0.00018966854,0.069702454,0.39625025,0.0019340758,0.0078036636,0.5136187],"study_design_scores_gemma":[0.000026635013,0.00020548573,0.043759152,0.00008064076,0.000115156305,0.0009805195,0.00029367095,0.7095536,0.22487618,0.0031562697,0.0168656,0.00008706365],"about_ca_topic_score_codex":0.010205476,"about_ca_topic_score_gemma":0.02042644,"teacher_disagreement_score":0.010205476,"about_ca_system_score_codex":0.00053157954,"about_ca_system_score_gemma":0.0010373322,"threshold_uncertainty_score":0.020292163},"labels":[],"label_agreement":null},{"id":"W4322620865","doi":"10.22541/au.167764221.16958624/v1","title":"Leveraging Mathematical Models for Optimizing Filter Utility at Manufacturing Scale","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Aurinia (Canada)","funders":"","keywords":"Filter (signal processing); Filtration (mathematics); Process engineering; Production (economics); Computer science; Scale (ratio); Residual; Reduction (mathematics); Process (computing); Environmental science; Engineering; Mathematics; Algorithm","score_opus":0.09155081765679923,"score_gpt":0.2718056891112513,"score_spread":0.18025487145445207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322620865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035555255,0.00077231246,0.95053303,0.00050102675,0.00006530319,0.0000998743,0.00025240993,0.00036441194,0.011856306],"genre_scores_gemma":[0.84025973,0.0014009863,0.14197384,0.00025724646,0.000079340585,0.00049210235,0.00053182564,0.00039982327,0.01460508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932504,0.0002424517,0.000027678094,0.00012777683,0.00017274758,0.00010437737],"domain_scores_gemma":[0.9960377,0.0030869078,0.00040133882,0.00009649195,0.00030698202,0.000070584385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002173976,0.0020395138,0.0014131113,0.0008646383,0.0005896079,0.002614562,0.0012487789,0.0023530503,0.002721402],"category_scores_gemma":[0.0067517017,0.0012139162,0.0015511275,0.00081005844,0.001058016,0.0015409,0.0010418434,0.0018490121,0.00055617397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006230025,0.000010107133,0.00009017035,0.000017089238,0.000004969141,0.00001042413,0.0000063531497,0.997022,0.0002183127,0.0016219509,0.00007898857,0.00091339776],"study_design_scores_gemma":[0.0000016184761,0.0000050840526,0.000021686672,0.000002822115,0.0000024768292,0.0000022090212,0.000002449706,0.9987342,0.00013467751,0.00096591236,0.00012466864,0.0000022604906],"about_ca_topic_score_codex":0.012564979,"about_ca_topic_score_gemma":0.0080465665,"teacher_disagreement_score":0.012564979,"about_ca_system_score_codex":0.0020793898,"about_ca_system_score_gemma":0.0018663388,"threshold_uncertainty_score":0.024983704},"labels":[],"label_agreement":null},{"id":"W4327971518","doi":"10.3390/rs15061641","title":"Mine Pit Wall Geological Mapping Using UAV-Based RGB Imaging and Unsupervised Learning","year":2023,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geologic map; Ground truth; Robustness (evolution); RGB color model; Geology; Remote sensing; Computer science; Artificial intelligence; Mining engineering; Geomorphology","score_opus":0.027239144664708087,"score_gpt":0.2332765537800355,"score_spread":0.20603740911532742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327971518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5891746,0.00021130896,0.40415898,0.00014299426,0.000033324664,0.000099997604,0.00026806263,0.0014451059,0.004465519],"genre_scores_gemma":[0.84070295,0.000068640766,0.15795526,0.000026095666,0.000007278323,0.00002040826,0.00031411997,0.000033720164,0.00087151973],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99985874,0.000026953463,0.0000043882856,0.000047831843,0.0000402017,0.000021899388],"domain_scores_gemma":[0.9998166,0.00005242439,0.000025128034,0.00003639208,0.000060323644,0.000009113242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023397134,0.00032980167,0.00016586015,0.0005607995,0.00017081886,0.000378447,0.00030813678,0.00023542679,0.00033536452],"category_scores_gemma":[0.000591438,0.00017045149,0.00025107473,0.00043499088,0.00029523874,0.00043155887,0.00029789144,0.00022399996,0.00016692537],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023647708,0.00020299347,0.018411748,0.000121217905,0.00010643834,0.00024137239,0.00030732615,0.43432447,0.074492335,0.0015707338,0.0016318554,0.46835312],"study_design_scores_gemma":[0.000006825247,0.000052761116,0.01122844,0.000009489644,0.000010157171,0.00008194542,0.00010293954,0.9714479,0.015487542,0.00074401376,0.0008169125,0.000011008055],"about_ca_topic_score_codex":0.009474595,"about_ca_topic_score_gemma":0.020427838,"teacher_disagreement_score":0.009474595,"about_ca_system_score_codex":0.00027575457,"about_ca_system_score_gemma":0.00035687862,"threshold_uncertainty_score":0.018838942},"labels":[],"label_agreement":null},{"id":"W4360604057","doi":"10.1016/j.jrmge.2023.02.016","title":"Numerical and experimental analyses of rock failure mechanisms due to microwave treatment","year":2023,"lang":"en","type":"article","venue":"Journal of Rock Mechanics and Geotechnical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"King Abdulaziz University; Department of Sport and Recreation, Government of Western Australia","keywords":"Microwave; Microwave heating; Failure mechanism; Geotechnical engineering; Materials science; Mineralogy; Nuclear engineering; Geology; Engineering; Composite material; Telecommunications","score_opus":0.016736712910591076,"score_gpt":0.257831510921025,"score_spread":0.24109479801043393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360604057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900192,0.00009989015,0.008303075,0.000029361097,0.000011339171,0.000022160026,0.000107623906,0.00010951386,0.0012979093],"genre_scores_gemma":[0.9971661,0.00003816512,0.002442622,0.0000030020763,0.0000020906227,0.00001644821,0.000030344918,0.0000064437245,0.00029465108],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998436,0.000016373691,0.000008395099,0.000027303038,0.000072738556,0.00003161239],"domain_scores_gemma":[0.9994368,0.000270557,0.00011010475,0.00007877505,0.00008204927,0.000021717642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039251108,0.00024252263,0.00026894733,0.00037900754,0.0002169218,0.00014696605,0.00042097672,0.00040758555,0.0018603181],"category_scores_gemma":[0.0008495617,0.00015039336,0.00031080365,0.00026480353,0.0005048092,0.00017999196,0.00018574749,0.00031359552,0.00011308072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063776877,0.0002934482,0.007334634,0.00037315206,0.00003790784,0.00029272618,0.0002569991,0.21174918,0.7624425,0.0014944378,0.0003648412,0.014722316],"study_design_scores_gemma":[0.00005764704,0.0010556844,0.016551008,0.000016104426,0.000043578057,0.00011126795,0.00011536299,0.6456681,0.3353602,0.0003364012,0.0006510774,0.000033473436],"about_ca_topic_score_codex":0.00078465097,"about_ca_topic_score_gemma":0.0008251238,"teacher_disagreement_score":0.0018603181,"about_ca_system_score_codex":0.0002174561,"about_ca_system_score_gemma":0.00011959607,"threshold_uncertainty_score":0.0062233806},"labels":[],"label_agreement":null},{"id":"W4362452202","doi":"10.24425/aep.2022.140770","title":"Solidification/Stabilization Treatment for organic oil immobilization in Algerian Petroleum Drill Cuttings: Optimization and Acceptance Tests for Landfilling","year":2022,"lang":"en","type":"article","venue":"Archives of Environmental Protection","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Drill cuttings; Petroleum; Petroleum engineering; Drill; Cutting; Diamondoid; Environmental science; Petroleum exploration; Industrial chemistry; Waste management; Engineering; Geology; Chemistry; Drilling fluid; Mechanical engineering; Drilling; Biochemical engineering; Biology; Botany","score_opus":0.012144107470177617,"score_gpt":0.20909668236907278,"score_spread":0.19695257489889517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362452202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997736,0.00073436083,0.0006514033,0.000033377888,0.000008879908,0.00004048284,0.00014694691,0.00001340803,0.0006351049],"genre_scores_gemma":[0.992673,0.0018399956,0.003951744,0.00002616266,0.0000062386052,0.00005196263,0.00026119943,0.000017305561,0.0011723641],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99941945,0.00009847695,0.00008602183,0.000094574396,0.00020847372,0.00009294659],"domain_scores_gemma":[0.9996445,0.000067403955,0.00011115556,0.00001825815,0.00011960536,0.00003897375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005908709,0.0006085943,0.0006143756,0.0005033696,0.00033249997,0.0005970821,0.00033111224,0.00047149227,0.0006443126],"category_scores_gemma":[0.0005201039,0.00026869282,0.0007694,0.0006557517,0.00021695532,0.00035013305,0.00038802874,0.00046556152,0.00024095303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037585117,0.00035750377,0.0014367098,0.0002612116,0.000030434541,0.00009197888,0.00011259336,0.0011810272,0.9898915,0.00004810548,0.00004371708,0.0061692693],"study_design_scores_gemma":[0.000012839676,0.0026777987,0.00764314,0.000025066853,0.00008379094,0.000049007933,0.0001839054,0.0016556033,0.9864357,0.000023632629,0.0011868826,0.000022597796],"about_ca_topic_score_codex":0.003871601,"about_ca_topic_score_gemma":0.010996553,"teacher_disagreement_score":0.003871601,"about_ca_system_score_codex":0.00039890004,"about_ca_system_score_gemma":0.00057434913,"threshold_uncertainty_score":0.0076981187},"labels":[],"label_agreement":null},{"id":"W4366390768","doi":"10.3390/ma16083220","title":"Optimization of the SAG Grinding Process Using Statistical Analysis and Machine Learning: A Case Study of the Chilean Copper Mining Industry","year":2023,"lang":"en","type":"article","venue":"Materials","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Agencia Nacional de Investigación y Desarrollo; Universidad de Antofagasta","keywords":"Grinding; Copper; Copper mine; Manufacturing engineering; Process (computing); Statistical analysis; Metallurgy; Process engineering; Engineering; Materials science; Computer science; Statistics; Mathematics","score_opus":0.033395554382222976,"score_gpt":0.28148240733110685,"score_spread":0.24808685294888388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366390768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827024,0.00018283582,0.013251906,0.00020481857,0.0000069487287,0.00006387294,0.00012595051,0.00006928259,0.0033919818],"genre_scores_gemma":[0.9939599,0.00010281652,0.004611856,0.0000089787645,0.0000024667527,0.000030933832,0.0000610722,0.000010588191,0.0012113325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997546,0.00009621111,0.00001558565,0.000036747253,0.000045810957,0.00005110216],"domain_scores_gemma":[0.998976,0.0007441113,0.0000897611,0.000043149208,0.00011111259,0.00003591504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009929526,0.00065519474,0.0006146661,0.0007441112,0.0005995081,0.0010674456,0.0007422401,0.0010476126,0.0012230509],"category_scores_gemma":[0.0015782312,0.00036011974,0.00063738466,0.0007738829,0.0005890651,0.00045145562,0.0005168301,0.00053646223,0.00010833503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057750563,0.000120572404,0.0040931194,0.00008524031,0.000017606058,0.00038044667,0.00006338607,0.98771185,0.0010818549,0.0008959634,0.00013916644,0.005353033],"study_design_scores_gemma":[0.000010927022,0.000087149034,0.0017366871,0.000004271907,0.000007434504,0.00001746723,0.00012057446,0.9965983,0.000828063,0.00034306006,0.00023797345,0.00000805033],"about_ca_topic_score_codex":0.05492147,"about_ca_topic_score_gemma":0.040547833,"teacher_disagreement_score":0.05492147,"about_ca_system_score_codex":0.0019764295,"about_ca_system_score_gemma":0.001866481,"threshold_uncertainty_score":0.10920358},"labels":[],"label_agreement":null},{"id":"W4366506676","doi":"10.11159/icgre23.125","title":"Estimating Particle Size Distribution of Mine Dump Materials using CenterMask Neural Network","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Particle-size distribution; Particle size; Computer science; Particle (ecology); Environmental science; Artificial intelligence; Geology; Engineering; Chemical engineering","score_opus":0.007582153731156152,"score_gpt":0.19784215312865192,"score_spread":0.19025999939749577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366506676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7167314,0.0006936276,0.27112412,0.00018953717,0.00007138893,0.00006764811,0.0018306643,0.00521108,0.0040804916],"genre_scores_gemma":[0.9159795,0.00019239607,0.079693064,0.000049353708,0.000015071377,0.000036248122,0.0021688363,0.00010114986,0.001764477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987483,0.000007253851,0.0000053975796,0.000059374488,0.00003650324,0.000016738994],"domain_scores_gemma":[0.99975973,0.00006144942,0.00003970917,0.000025466661,0.000099072946,0.000014613232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023023062,0.0006833799,0.00038649424,0.0011263014,0.00024727837,0.00045262338,0.0006894952,0.000607905,0.0006742673],"category_scores_gemma":[0.0006471497,0.00030875133,0.0004177976,0.0006230494,0.0002425298,0.0006514085,0.00039242764,0.000403027,0.00033324637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068112003,0.0002557698,0.040551685,0.00017699355,0.00012855406,0.00037592102,0.00012711783,0.48130566,0.07240954,0.0011711983,0.005094163,0.3977223],"study_design_scores_gemma":[0.000002990215,0.000014344903,0.004425144,0.0000024031087,0.0000062617105,0.00002117342,0.000010345261,0.9877872,0.007190163,0.00023961175,0.0002941207,0.000006259919],"about_ca_topic_score_codex":0.012902399,"about_ca_topic_score_gemma":0.017976157,"teacher_disagreement_score":0.012902399,"about_ca_system_score_codex":0.0008527909,"about_ca_system_score_gemma":0.00048375866,"threshold_uncertainty_score":0.025654614},"labels":[],"label_agreement":null},{"id":"W4367155056","doi":"10.36487/acg_repo/2355_42","title":"Rheology for deposition control and deposit failure risk analysis","year":2023,"lang":"en","type":"article","venue":"Paste/˜Pœaste","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Banff Centre; Geomechanica (Canada); University of Alberta","funders":"Canada's Oil Sands Innovation Alliance; Barrick Gold Corporation","keywords":"Rheology; Deposition (geology); Materials science; Computer science; Petroleum engineering; Geology; Composite material; Geomorphology","score_opus":0.0049087144413267805,"score_gpt":0.20377979920911726,"score_spread":0.19887108476779047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367155056","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050142746,0.00092581933,0.9417232,0.0001641309,0.000059574293,0.00027354746,0.00049605186,0.0010164985,0.00519837],"genre_scores_gemma":[0.7849477,0.0016153766,0.20487785,0.00007651339,0.0001440399,0.00032313273,0.00070413225,0.00027905026,0.0070323236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992487,0.00019320865,0.00006781867,0.00014770696,0.0002891363,0.000053447675],"domain_scores_gemma":[0.9970638,0.0012345773,0.0006662668,0.00049448234,0.0004806085,0.000060170354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017162879,0.0010809633,0.0009255123,0.0019751,0.00031639225,0.0013212878,0.0008318587,0.00073878607,0.0032181893],"category_scores_gemma":[0.006551348,0.0004655276,0.0007801121,0.0009337559,0.00051126984,0.0012266745,0.0009009046,0.0010927212,0.00090338354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019546348,0.0001673938,0.011363758,0.00031865947,0.0001341071,0.00031859428,0.00009246814,0.78095645,0.038773634,0.017298883,0.0016654213,0.14871517],"study_design_scores_gemma":[0.000009054435,0.000118201344,0.0040299078,0.000041627685,0.00002097432,0.00008417593,0.000032520376,0.9795846,0.0075545693,0.005119365,0.003370451,0.00003463011],"about_ca_topic_score_codex":0.0021269822,"about_ca_topic_score_gemma":0.001138129,"teacher_disagreement_score":0.0032181893,"about_ca_system_score_codex":0.00046215247,"about_ca_system_score_gemma":0.0006519753,"threshold_uncertainty_score":0.01076597},"labels":[],"label_agreement":null},{"id":"W4367181744","doi":"10.3390/min13050603","title":"Simulating Bulk Ore Sorting Performance of a Panel Cave Mine: A Comparison between Two Approaches","year":2023,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Newcrest Mining","keywords":"Drill; Sorting; Block (permutation group theory); Drilling; Geology; Drill hole; Cave; Mining engineering; Core (optical fiber); Block size; Computer science; Engineering; Key (lock); Mathematics; Algorithm; Mechanical engineering; Geography; Geometry","score_opus":0.12859361591765361,"score_gpt":0.2955672041886999,"score_spread":0.1669735882710463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367181744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98833627,0.000023396724,0.00912124,0.00002358358,0.0000036943204,0.000057047368,0.0002829974,0.00008273512,0.0020691901],"genre_scores_gemma":[0.99008465,0.000037736954,0.008799555,0.000008885725,0.0000012287194,0.000048225396,0.00024400072,0.000017913098,0.00075788173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982965,0.000043297423,0.000011927727,0.00003627737,0.00003698579,0.00004187879],"domain_scores_gemma":[0.99916995,0.0005302944,0.00006392314,0.00007886735,0.00010341599,0.00005362368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004664495,0.00046970733,0.0005401599,0.00041023525,0.00029406787,0.00070995215,0.0009428468,0.00085964205,0.0011480526],"category_scores_gemma":[0.0012655184,0.00034391275,0.00058293476,0.0004724933,0.0003275971,0.00046474565,0.0004068216,0.00043798736,0.000121238496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001875858,0.00009157288,0.007983589,0.000029460562,0.000018617224,0.00003367577,0.000040643477,0.9854441,0.002473533,0.00023069353,0.000044143915,0.003422441],"study_design_scores_gemma":[0.000020094725,0.00015578693,0.003097255,0.000003609168,0.000007658292,0.000011271613,0.000037513117,0.99528366,0.0011921183,0.00009358439,0.000087759516,0.000009656038],"about_ca_topic_score_codex":0.072628014,"about_ca_topic_score_gemma":0.05776423,"teacher_disagreement_score":0.072628014,"about_ca_system_score_codex":0.0008058866,"about_ca_system_score_gemma":0.0011888302,"threshold_uncertainty_score":0.14441055},"labels":[],"label_agreement":null},{"id":"W4367302385","doi":"10.1016/j.mineng.2023.108089","title":"Automated mineralogy using optical microscopy in a geometallurgical context: A comparative study on Dumont nickel project ores, Amos, Quebec","year":2023,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Pentlandite; Nickel; Mineralization (soil science); Geology; Context (archaeology); Mineralogy; Optical microscope; Ultramafic rock; Metallurgy; Geochemistry; Scanning electron microscope; Materials science; Pyrrhotite","score_opus":0.04892109379204712,"score_gpt":0.32029193968376274,"score_spread":0.2713708458917156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367302385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836737,0.00040228316,0.0009142441,0.000104473,0.000004784211,0.000068663096,0.0007873445,0.00002647304,0.0140180085],"genre_scores_gemma":[0.98742944,0.0004042487,0.0023521786,0.000031317548,0.0000037012267,0.000014512838,0.0005455737,0.000026127915,0.00919284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901414,0.000099233956,0.000028189985,0.00015356616,0.0005343872,0.00017049788],"domain_scores_gemma":[0.9976199,0.0003055556,0.00019429298,0.00010157963,0.0016829016,0.00009565073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010120436,0.00031899245,0.0003644099,0.003461581,0.0037887604,0.0019729384,0.00091232726,0.00044659327,0.0031417364],"category_scores_gemma":[0.001993494,0.0002113696,0.00025470366,0.004759232,0.0014944808,0.0005398523,0.00074863096,0.0002683669,0.00046655422],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078454555,0.00040498064,0.70929354,0.000578182,0.00020296137,0.0024394894,0.029213147,0.0044199997,0.04065593,0.002908007,0.0036771856,0.20542209],"study_design_scores_gemma":[0.000004289612,0.00007106711,0.97300977,0.000035525612,0.00002820351,0.00028936027,0.011331112,0.0015544787,0.0025968968,0.00007605296,0.010982522,0.000020670428],"about_ca_topic_score_codex":0.9512902,"about_ca_topic_score_gemma":0.9919179,"teacher_disagreement_score":0.04870981,"about_ca_system_score_codex":0.015247261,"about_ca_system_score_gemma":0.010137974,"threshold_uncertainty_score":0.110627174},"labels":[],"label_agreement":null},{"id":"W4367725758","doi":"10.2139/ssrn.4436407","title":"Effect of Different Concentrations of Denim and Polyester Fibres on the Performance of Activated Sludge and Granular Sludge Reactors","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Denim; Polyester; Pulp and paper industry; Activated sludge; Materials science; Composite material; Waste management; Sewage treatment; Engineering","score_opus":0.009766745906946097,"score_gpt":0.23033692903085962,"score_spread":0.22057018312391352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367725758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983217,0.0006200233,0.00028386206,0.000044001004,0.000034967296,0.0000094535535,0.00013517973,0.000019028186,0.00053178525],"genre_scores_gemma":[0.99734575,0.00048168105,0.0005691607,0.000050488765,0.000019101919,0.000011199622,0.0001553576,0.00001552836,0.0013516509],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993063,0.00016602682,0.00008380516,0.00015043568,0.00013698709,0.00015652177],"domain_scores_gemma":[0.9987721,0.00062464393,0.00017257,0.0000721338,0.0001964008,0.00016218751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048443308,0.00064254034,0.000727194,0.00026947146,0.00030435147,0.0008685895,0.00040117936,0.0010023377,0.0013922481],"category_scores_gemma":[0.0013435385,0.0003876239,0.0005188583,0.00025245713,0.00051189086,0.0004839826,0.0003607874,0.0006511246,0.00039977368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0056141745,0.00022100327,0.0009330684,0.00031904786,0.000078817226,0.00016239428,0.00011418338,0.0019062933,0.9870297,0.0000528895,0.000063536805,0.0035049426],"study_design_scores_gemma":[0.000023156395,0.0009812107,0.0020592967,0.000015390777,0.000046961854,0.000027982283,0.000044542547,0.00051351247,0.99592304,0.000020528169,0.0003324283,0.000011899799],"about_ca_topic_score_codex":0.0014774173,"about_ca_topic_score_gemma":0.0014440151,"teacher_disagreement_score":0.0014774173,"about_ca_system_score_codex":0.00040903952,"about_ca_system_score_gemma":0.0003350855,"threshold_uncertainty_score":0.004657507},"labels":[],"label_agreement":null},{"id":"W4368370660","doi":"10.1080/25726668.2023.2205080","title":"Assessing stope performance using georeferenced octrees and multivariate analysis","year":2023,"lang":"en","type":"article","venue":"Mining Technology Transactions of the Institutions of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Mining engineering; Undercut; Rock blasting; Principal component analysis; Coal mining; Georeference; Geology; Engineering; Civil engineering; Computer science; Geography; Coal; Mechanical engineering; Physical geography; Artificial intelligence","score_opus":0.05057146576541826,"score_gpt":0.2890088762175019,"score_spread":0.2384374104520836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4368370660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7543945,0.00007301402,0.23818833,0.000055745673,0.00001876581,0.00009535928,0.00193946,0.0008967984,0.0043380056],"genre_scores_gemma":[0.9032414,0.00004069453,0.094269656,0.000008831262,0.0000057307457,0.00004480507,0.0015657123,0.00009643236,0.00072674506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890625,0.00029984204,0.00006729119,0.00017296904,0.00044887734,0.0001047188],"domain_scores_gemma":[0.99754816,0.0007065075,0.00049047446,0.00044885188,0.0007039313,0.000102001766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012227154,0.00062291825,0.00043338706,0.0024741585,0.00025320996,0.0011775958,0.00040714382,0.00034576163,0.0011503915],"category_scores_gemma":[0.0033096122,0.00018034688,0.00041939414,0.0020957573,0.00029709612,0.00070652505,0.0006390431,0.00034245403,0.00059368694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006660409,0.00037276096,0.37855154,0.0002362513,0.00032874398,0.00033412673,0.0009313414,0.18324327,0.0849711,0.0039040826,0.0020011903,0.34445965],"study_design_scores_gemma":[0.000015678379,0.00055675424,0.5746213,0.00003178521,0.000064435095,0.00031374462,0.0011706257,0.39072606,0.024442231,0.001610968,0.0062951013,0.00015132886],"about_ca_topic_score_codex":0.0051727663,"about_ca_topic_score_gemma":0.015925609,"teacher_disagreement_score":0.0051727663,"about_ca_system_score_codex":0.0003237237,"about_ca_system_score_gemma":0.00037719912,"threshold_uncertainty_score":0.010285318},"labels":[],"label_agreement":null},{"id":"W4376143314","doi":"10.1093/annweh/wxac087.071","title":"102 Application of Quantitative Mineralogy to Determine Sources of Airborne Particles at a European Copper Smelter","year":2023,"lang":"en","type":"article","venue":"Annals of Work Exposures and Health","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Bornite; Chalcocite; Smelting; Environmental science; Aerosol; Environmental chemistry; Copper; Metallurgy; Chalcopyrite; Mineralogy; Materials science; Chemistry; Meteorology; Geography","score_opus":0.10570523728749187,"score_gpt":0.3455092892361083,"score_spread":0.23980405194861643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376143314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98529667,0.00026399377,0.010978519,0.000037610876,0.000015587217,0.0000825748,0.0004817292,0.00021804894,0.0026252307],"genre_scores_gemma":[0.9909499,0.000086390966,0.007436565,0.000024851857,0.0000032589962,0.000023198963,0.00018926653,0.000025465719,0.0012610804],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999073,0.00014570176,0.00006157246,0.00014826069,0.00052385527,0.000047670528],"domain_scores_gemma":[0.99930096,0.00015299648,0.00010352961,0.000039735944,0.0003770113,0.000025720079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093581865,0.00037508784,0.00023997863,0.0024785718,0.00043674326,0.0008676378,0.00035326055,0.0006702371,0.0008781926],"category_scores_gemma":[0.00087262486,0.00019489358,0.00023790235,0.0006953189,0.00032223063,0.0002071996,0.0003609689,0.00017175192,0.0003113731],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033245573,0.00008963738,0.04796468,0.000092902665,0.00003860826,0.00018418988,0.00019076101,0.0014867688,0.93127114,0.0001055541,0.00014949449,0.018093828],"study_design_scores_gemma":[0.000036408415,0.001072403,0.2277046,0.000028826105,0.000052412575,0.00044012888,0.00045537917,0.014691167,0.7521652,0.00011654049,0.0032025035,0.00003438609],"about_ca_topic_score_codex":0.0077077453,"about_ca_topic_score_gemma":0.010632428,"teacher_disagreement_score":0.0077077453,"about_ca_system_score_codex":0.0005856728,"about_ca_system_score_gemma":0.0002520891,"threshold_uncertainty_score":0.015325785},"labels":[],"label_agreement":null},{"id":"W4376611701","doi":"10.3390/min13050672","title":"Deployment of XRF Sensors Underground: An Opportunity for Grade Monitoring or Bulk Ore Sorting in Cave Mines","year":2023,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MineSense Technologies (Canada); University of British Columbia","funders":"Mitacs; Newcrest Mining","keywords":"Cave; Environmental science; Mining engineering; Sampling (signal processing); Sorting; Iron ore; Underground mining (soft rock); Software deployment; Copper ore; Environmental monitoring; Engineering; Computer science; Environmental engineering; Waste management; Copper; Coal mining; Archaeology; Geography; Coal; Metallurgy","score_opus":0.10821316283310745,"score_gpt":0.32941998076696977,"score_spread":0.22120681793386232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376611701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732265,0.00010084845,0.024163162,0.000050621118,0.000008028803,0.00006453081,0.00028135386,0.00056128344,0.0015436664],"genre_scores_gemma":[0.95941865,0.000071751936,0.039123222,0.000023035023,0.0000022485533,0.00003362798,0.00018908591,0.000026627356,0.0011116979],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994685,0.00007944494,0.000021615637,0.00012206111,0.00025037455,0.000058058333],"domain_scores_gemma":[0.9992994,0.00017319678,0.00017063261,0.000108948974,0.00021052,0.000037388156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048298782,0.00032032788,0.00034075635,0.0004051304,0.000281128,0.00043566752,0.00078774063,0.0005639811,0.0008210251],"category_scores_gemma":[0.0009183327,0.00027317443,0.00022168404,0.00049316266,0.00027148364,0.0004969818,0.00043009254,0.0002794778,0.00028307823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072547613,0.0002780748,0.21946755,0.00033154018,0.00006203486,0.0007491719,0.00062038976,0.008551704,0.59175235,0.00018844912,0.0008217872,0.1764515],"study_design_scores_gemma":[0.00007997895,0.002435054,0.45010936,0.000118385666,0.00010031569,0.0015012224,0.0014295687,0.07948209,0.45642492,0.00028028127,0.007929323,0.00010947172],"about_ca_topic_score_codex":0.0059399824,"about_ca_topic_score_gemma":0.022959646,"teacher_disagreement_score":0.0059399824,"about_ca_system_score_codex":0.00034077774,"about_ca_system_score_gemma":0.0004354896,"threshold_uncertainty_score":0.011810839},"labels":[],"label_agreement":null},{"id":"W4379963761","doi":"10.5281/zenodo.8020865","title":"Intensified Mineral Carbonation of Natural Canadian Silicates Using Simultaneous Ball Milling","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Carbonation; Mineral; Ball (mathematics); Metallurgy; Ball mill; Natural (archaeology); Natural mineral; Mineral processing; Mineralogy; Environmental science; Materials science; Geology; Composite material; Mathematics","score_opus":0.03313898316962173,"score_gpt":0.22994194726478925,"score_spread":0.1968029640951675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379963761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920185,0.0013788417,0.003732329,0.00004233689,0.000022007576,0.000059149977,0.00016279319,0.00009306999,0.002490864],"genre_scores_gemma":[0.9892153,0.0010678358,0.007524688,0.000036118872,0.0000049310843,0.000024505045,0.00011925511,0.00002281289,0.0019845613],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977285,0.000010461487,0.000012800029,0.00006396604,0.000097621814,0.000042396063],"domain_scores_gemma":[0.9998522,0.00003399328,0.00003069204,0.000015948808,0.00005023124,0.000016934568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017176961,0.00046028596,0.00029567422,0.00034492702,0.00025386192,0.00027404833,0.00030226566,0.000266195,0.0009398928],"category_scores_gemma":[0.0002422691,0.00019482557,0.00038765956,0.000326181,0.000302462,0.0003467516,0.00026968966,0.00050864986,0.00018573615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012844634,0.000027928576,0.00058905187,0.00023357676,0.000014441465,0.000047888756,0.000041664087,0.0004420039,0.99179584,0.000102760205,0.000056885205,0.006519546],"study_design_scores_gemma":[0.000008484689,0.00014464669,0.002999624,0.00000498811,0.000016358472,0.000048731672,0.000027569708,0.0011547784,0.99417746,0.000022221206,0.001386417,0.000008711149],"about_ca_topic_score_codex":0.009891244,"about_ca_topic_score_gemma":0.049382437,"teacher_disagreement_score":0.9901087,"about_ca_system_score_codex":0.00071647135,"about_ca_system_score_gemma":0.0006205518,"threshold_uncertainty_score":0.019667327},"labels":[],"label_agreement":null},{"id":"W4379982448","doi":"10.2139/ssrn.4474924","title":"Field Pilot Testing and Reservoir Simulation to Evaluate Processes Controlling Co2 Injection and Associated In-Situ Fluid Migration in Deep Coal","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Petroleum engineering; Coal; In situ; Field (mathematics); Environmental science; Geology; Reservoir simulation; Injection well; Engineering; Waste management; Geography; Meteorology","score_opus":0.03484521132871179,"score_gpt":0.2879980274777693,"score_spread":0.25315281614905755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379982448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968811,0.000021389125,0.0020664807,0.000026463931,0.000011191736,0.000046544,0.00015288226,0.000105497056,0.00068844244],"genre_scores_gemma":[0.99829847,0.00001262359,0.0013003722,0.0000047354447,0.0000011021054,0.000019595815,0.000059099286,0.0000063465473,0.00029761784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998123,0.00003685575,0.000012810049,0.000039249284,0.000044686825,0.000054207885],"domain_scores_gemma":[0.9991425,0.0004392222,0.000058016383,0.00009288718,0.00016288455,0.00010443198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005983505,0.0005508465,0.0005038348,0.0003934042,0.0005454451,0.00046969703,0.00078056345,0.000861854,0.0013979359],"category_scores_gemma":[0.00076983595,0.0002907396,0.00031713303,0.00030590605,0.00047877533,0.00063522207,0.00042592763,0.00064930116,0.00016911911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039688293,0.008896125,0.03381597,0.00055157597,0.00009926161,0.0010225788,0.00058005314,0.46093553,0.45106786,0.0012410524,0.0013751512,0.036446154],"study_design_scores_gemma":[0.00037740704,0.003909592,0.00964081,0.000010220337,0.000036925998,0.00006389593,0.00021521856,0.75737625,0.22731315,0.00034017308,0.0006742898,0.000041936597],"about_ca_topic_score_codex":0.009780956,"about_ca_topic_score_gemma":0.007877195,"teacher_disagreement_score":0.009780956,"about_ca_system_score_codex":0.0006150916,"about_ca_system_score_gemma":0.0008577731,"threshold_uncertainty_score":0.019448042},"labels":[],"label_agreement":null},{"id":"W4380200447","doi":"10.1016/j.mineng.2023.108160","title":"Development of Locked-cycle piston press test procedure to simulate closed circuit HPGR comminution","year":2023,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Comminution; Engineering; Process engineering; Materials science; Metallurgy","score_opus":0.022054890428721594,"score_gpt":0.22891081983649433,"score_spread":0.20685592940777275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380200447","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35028362,0.000113473834,0.630355,0.00015564622,0.0002190478,0.00072352367,0.0006648158,0.0059769885,0.011507968],"genre_scores_gemma":[0.8924403,0.000049565067,0.10138006,0.000058477104,0.000010499866,0.0003011964,0.00034291833,0.000200233,0.005216667],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994923,0.000057906764,0.00002616632,0.00007249676,0.0003126967,0.00003846596],"domain_scores_gemma":[0.9991709,0.00017739655,0.00006886409,0.00013682857,0.0004074756,0.000038618236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043593504,0.00047455198,0.00027836542,0.0004922553,0.0004761472,0.00037368535,0.0015359335,0.00062657864,0.005150765],"category_scores_gemma":[0.0013310733,0.00019808218,0.0002212079,0.00022855875,0.0003377282,0.00062899565,0.0003877126,0.00039085434,0.00083329825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064552674,0.00048191802,0.0059837922,0.00039319706,0.000032422024,0.0006913642,0.00042466316,0.07463564,0.7822639,0.0057748402,0.002839214,0.12583356],"study_design_scores_gemma":[0.00007484871,0.001337878,0.006577061,0.000026175976,0.000030653468,0.00041423482,0.00013388041,0.3266669,0.6534127,0.0010198395,0.010246242,0.000059554175],"about_ca_topic_score_codex":0.002492039,"about_ca_topic_score_gemma":0.0027927654,"teacher_disagreement_score":0.005150765,"about_ca_system_score_codex":0.00041841,"about_ca_system_score_gemma":0.001002012,"threshold_uncertainty_score":0.017231047},"labels":[],"label_agreement":null},{"id":"W4380785194","doi":"10.1080/19236026.2023.2204708","title":"The truth about population balance modeling","year":2023,"lang":"en","type":"article","venue":"CIM Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Breakage; Mill; Residence time (fluid dynamics); Population; Grinding; Engineering; Econometrics; Environmental science; Mathematics; Computer science; Mechanical engineering; Demography; Geotechnical engineering","score_opus":0.017117097053781602,"score_gpt":0.23840332966590774,"score_spread":0.22128623261212615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380785194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016284602,0.020165773,0.75062853,0.15594925,0.0060481387,0.000108762804,0.002373095,0.0012480997,0.04719383],"genre_scores_gemma":[0.6584165,0.05041498,0.18829681,0.043660715,0.012909504,0.0011143046,0.0025784522,0.0015222447,0.041086424],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972216,0.0012557709,0.0001298983,0.00068943587,0.0005517715,0.00015160012],"domain_scores_gemma":[0.9933743,0.0047708177,0.00031761304,0.0006887338,0.0006320083,0.00021653029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057792626,0.0009925871,0.0015894672,0.0007790215,0.0009651377,0.0034092763,0.0040282747,0.0036575275,0.0071817455],"category_scores_gemma":[0.020156194,0.0005618203,0.0014403852,0.0008190582,0.0036754536,0.00858661,0.00232968,0.007403042,0.002199459],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036389712,0.000046000296,0.0024493583,0.00034946905,0.000115042356,0.00008757631,0.00035935795,0.077182874,0.00023941883,0.84938,0.029730879,0.04002363],"study_design_scores_gemma":[0.000024115667,0.000027654629,0.00038616318,0.00016596196,0.000026234165,0.000062217696,0.000108322965,0.085948125,0.0001569493,0.8606859,0.05236964,0.000038808575],"about_ca_topic_score_codex":0.007018981,"about_ca_topic_score_gemma":0.0020947543,"teacher_disagreement_score":0.0071817455,"about_ca_system_score_codex":0.0021973962,"about_ca_system_score_gemma":0.0016854521,"threshold_uncertainty_score":0.03056407},"labels":[],"label_agreement":null},{"id":"W4380987629","doi":"10.1007/978-3-030-96729-1_41","title":"Automation and Robotics in Mining and Mineral Processing","year":2023,"lang":"en","type":"book-chapter","venue":"Springer handbooks","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Automation; Mineral processing; Engineering; Manufacturing engineering; Robotics; Process (computing); Process control; Control (management); Systems engineering; Robot; Artificial intelligence; Computer science; Mechanical engineering","score_opus":0.022023483752599576,"score_gpt":0.21825892540440228,"score_spread":0.1962354416518027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380987629","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011652469,0.10723406,0.03914066,0.0016224991,0.0029016118,0.00005070327,0.0002091481,0.00053598697,0.8471401],"genre_scores_gemma":[0.0054309713,0.047893222,0.011065384,0.0004029438,0.00089326425,0.00005298142,0.0001956429,0.00020277804,0.93386286],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997217,0.00003293963,0.000012391852,0.000045956214,0.0001646581,0.00002233507],"domain_scores_gemma":[0.999835,0.000069933514,0.0000089840905,0.000029103374,0.000042585594,0.000014388033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022784552,0.0012708658,0.0009023048,0.001723745,0.00075051456,0.003391277,0.0010171584,0.0012087742,0.055682465],"category_scores_gemma":[0.00042721358,0.00053272693,0.00043720583,0.002616968,0.0012088818,0.0036188853,0.0012207482,0.0017066353,0.033789337],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001963704,0.00006160849,0.000084596955,0.0006719641,0.000009143722,0.00007915675,0.0002703176,0.0020507853,0.002219207,0.21292001,0.19982708,0.58178645],"study_design_scores_gemma":[0.0000015284494,0.000013989191,0.00017893226,0.00015228741,0.0000034884272,0.00012972402,0.00006158609,0.0005738335,0.0003631288,0.037449498,0.961065,0.0000069722287],"about_ca_topic_score_codex":0.0015233996,"about_ca_topic_score_gemma":0.0044260807,"teacher_disagreement_score":0.055682465,"about_ca_system_score_codex":0.0010231769,"about_ca_system_score_gemma":0.001078805,"threshold_uncertainty_score":0.18627638},"labels":[],"label_agreement":null},{"id":"W4381547332","doi":"10.1016/j.conengprac.2023.105598","title":"Real-time process operation evaluation and model reliability assessment for chemi-thermomechanical pulping process","year":2023,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canfor Pulp Products (Canada); University of British Columbia","funders":"","keywords":"Process (computing); Reliability (semiconductor); Process engineering; Process optimization; Energy consumption; Pulp (tooth); Computer science; Reliability engineering; Work in process; Engineering; Operations management","score_opus":0.016810132019524984,"score_gpt":0.32814707044724245,"score_spread":0.3113369384277175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381547332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7845275,0.00025681377,0.21087453,0.00010665979,0.00003184302,0.000080890764,0.00019674301,0.0020963138,0.0018288062],"genre_scores_gemma":[0.9942458,0.000020773232,0.0053053396,0.0000034103953,0.0000018643207,0.000018283932,0.00006925183,0.000024077868,0.00031119952],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994854,0.0001743986,0.000025934007,0.00008756059,0.00018591566,0.0000408267],"domain_scores_gemma":[0.99861085,0.00058591773,0.00017891549,0.0001516549,0.0004380417,0.000034523964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012353325,0.000757812,0.0004207675,0.00064335996,0.00024812765,0.00057712174,0.00053134275,0.0004969022,0.0012612201],"category_scores_gemma":[0.002469937,0.00028103206,0.00047239402,0.00028150002,0.00020812922,0.0006902984,0.00033188716,0.0004419553,0.00021714198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095301453,0.0002952545,0.0053941645,0.00015509619,0.00006240802,0.00009827865,0.000101626814,0.8913692,0.036009654,0.0005301647,0.0005491029,0.06448201],"study_design_scores_gemma":[0.00000728089,0.00009385837,0.001099326,0.0000012568228,0.000009152317,0.000008361149,0.000008628214,0.9936971,0.00492844,0.000084243846,0.000057584744,0.000004788632],"about_ca_topic_score_codex":0.0042609065,"about_ca_topic_score_gemma":0.0031008495,"teacher_disagreement_score":0.0042609065,"about_ca_system_score_codex":0.00066262257,"about_ca_system_score_gemma":0.00045762074,"threshold_uncertainty_score":0.008472204},"labels":[],"label_agreement":null},{"id":"W4381851203","doi":"10.1016/j.ijrmms.2023.105485","title":"Evaluating wet muck risk in block caving mines: A new model","year":2023,"lang":"en","type":"article","venue":"International Journal of Rock Mechanics and Mining Sciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Prix Inspiration Arctique; Agencia Nacional de Investigación y Desarrollo","keywords":"Muck; Engineering; Block (permutation group theory); Mining engineering; Environmental science","score_opus":0.05824977371211682,"score_gpt":0.33716408219876315,"score_spread":0.27891430848664633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381851203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6489045,0.0009044246,0.33475855,0.0020059673,0.0001309998,0.00026220284,0.0010291098,0.0003901036,0.01161415],"genre_scores_gemma":[0.9801906,0.0002765177,0.011240998,0.000074964395,0.000048430204,0.00008929085,0.00029128484,0.00004167307,0.007746295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998094,0.0007306951,0.00007409879,0.00044207857,0.00027736224,0.00038175413],"domain_scores_gemma":[0.9939819,0.004162869,0.0006619183,0.00024050883,0.00057833456,0.00037440908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036862171,0.0016229786,0.0022414525,0.0019107942,0.00072033366,0.004100607,0.0032806606,0.003938152,0.0038364322],"category_scores_gemma":[0.008134944,0.0008649391,0.0017030548,0.0010942755,0.0016674751,0.0029439658,0.0018939631,0.0018351094,0.00045651276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014395213,0.00010097725,0.004003202,0.00002930738,0.0000664121,0.00010739627,0.00003091656,0.98598635,0.00041609228,0.004844055,0.00033844955,0.0039329226],"study_design_scores_gemma":[0.000008998418,0.00006548234,0.0006479096,0.0000032711425,0.000019444462,0.000019382105,0.000014916308,0.99724567,0.00004599233,0.0018520694,0.000068713314,0.000008085198],"about_ca_topic_score_codex":0.022869548,"about_ca_topic_score_gemma":0.013790442,"teacher_disagreement_score":0.022869548,"about_ca_system_score_codex":0.0021283247,"about_ca_system_score_gemma":0.0023118893,"threshold_uncertainty_score":0.04547286},"labels":[],"label_agreement":null},{"id":"W4381895288","doi":"10.2139/ssrn.4488861","title":"Estimation of Ridge Using Nonlinear Transformation on Density Function","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ridge; Transformation (genetics); Nonlinear system; Estimation; Function (biology); Mathematics; Geology; Computer science; Engineering; Physics; Biology; Paleontology","score_opus":0.022921927427754868,"score_gpt":0.2575228673074171,"score_spread":0.2346009398796622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381895288","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02348236,0.000094955205,0.97515094,0.00008412708,0.000017230926,0.000016894202,0.00008324123,0.0006162196,0.00045401862],"genre_scores_gemma":[0.47994342,0.0004213879,0.5094804,0.00008777931,0.000086459215,0.00010444121,0.0011183198,0.000591568,0.008166225],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995969,0.00012532515,0.000014741282,0.00010793714,0.00009818898,0.000056850673],"domain_scores_gemma":[0.9988035,0.00057917077,0.000092824754,0.00022043199,0.00025482092,0.000049217306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010736586,0.0005292257,0.0008279245,0.00064630306,0.00029909064,0.0008020698,0.0007723703,0.00091173203,0.0020684218],"category_scores_gemma":[0.003870641,0.0006634586,0.0009624321,0.0007008086,0.0006254778,0.0011094064,0.0010171221,0.0015044822,0.001536286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003829466,0.00023608321,0.006966116,0.00024355337,0.00017148268,0.00020699143,0.0001614602,0.42407426,0.06286595,0.018039599,0.004242153,0.48240945],"study_design_scores_gemma":[0.000004915845,0.000013948637,0.0011766515,0.00000459032,0.000006276187,0.00003220588,0.0000072960875,0.992773,0.003236676,0.002372878,0.00036487656,0.000006785645],"about_ca_topic_score_codex":0.0032731425,"about_ca_topic_score_gemma":0.003456937,"teacher_disagreement_score":0.0032731425,"about_ca_system_score_codex":0.00035793675,"about_ca_system_score_gemma":0.0009996912,"threshold_uncertainty_score":0.006919563},"labels":[],"label_agreement":null},{"id":"W4382938408","doi":"10.5539/mas.v17n2p1","title":"Coal Image Recognition Method Based on Improved Semantic Segmentation Model of PSPNET Network","year":2023,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Pattern recognition (psychology); Segmentation; Feature (linguistics); Pyramid (geometry); Pooling; Image segmentation; Feature extraction; Computer vision; Mathematics","score_opus":0.02973501885915214,"score_gpt":0.2720300005789691,"score_spread":0.24229498171981695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382938408","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07914795,0.00059458206,0.9057403,0.00031488444,0.00015592281,0.00010578809,0.0004718274,0.0052822293,0.008186532],"genre_scores_gemma":[0.7501763,0.0005750953,0.23264404,0.00030768456,0.000084426014,0.0001621359,0.0020809798,0.00028296857,0.013686358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983096,0.000012164609,0.00000838424,0.000066326786,0.000052256524,0.000029917015],"domain_scores_gemma":[0.99989367,0.000013263166,0.00001245731,0.000018697641,0.00005100035,0.000010862703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025298432,0.0008498654,0.00060757453,0.00093830284,0.00036157866,0.0006550093,0.0013597517,0.00073225354,0.002160771],"category_scores_gemma":[0.0004509017,0.00033100398,0.00071768975,0.00070989464,0.00040062235,0.0014921366,0.00057628483,0.0006631255,0.00089146046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032043044,0.00015242698,0.0034325828,0.00013346798,0.00011933351,0.00027993345,0.000101943246,0.48334762,0.038799945,0.009072294,0.0072591593,0.45698094],"study_design_scores_gemma":[0.0000047188196,0.000023665852,0.00043029973,0.0000036824583,0.000013417756,0.000049106842,0.00000937799,0.9900907,0.006725415,0.0015385535,0.0011046827,0.0000063091757],"about_ca_topic_score_codex":0.01230493,"about_ca_topic_score_gemma":0.013795125,"teacher_disagreement_score":0.01230493,"about_ca_system_score_codex":0.0009804785,"about_ca_system_score_gemma":0.0009575425,"threshold_uncertainty_score":0.024466634},"labels":[],"label_agreement":null},{"id":"W4383695003","doi":"10.3390/min13070924","title":"Energy Efficiency of Microwave-Induced Heating of Crushed Rocks/Ores","year":2023,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microwave; Materials science; Absorption (acoustics); Grinding; Heat transfer; Particle size; Particle (ecology); Microwave heating; Electromagnetic radiation; Yield (engineering); Composite material; Mechanics; Optics; Chemistry; Geology","score_opus":0.020295044903108655,"score_gpt":0.2442323663764673,"score_spread":0.22393732147335865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383695003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935086,0.00012056872,0.0038168405,0.000015979153,0.000004352351,0.0000061527144,0.00005611208,0.000033461187,0.002437986],"genre_scores_gemma":[0.9985033,0.00006182323,0.0008224307,0.0000028722038,6.796101e-7,0.000004534912,0.000039670693,0.00000726388,0.0005572505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999579,0.0000048374322,0.0000019605482,0.000008737883,0.000016571787,0.00000999612],"domain_scores_gemma":[0.9998878,0.00006766288,0.000017579017,0.00001139079,0.000011465621,0.0000041201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012343941,0.00012598673,0.00018962355,0.00014733858,0.000119427525,0.00019334051,0.00025449926,0.00021598567,0.0010941863],"category_scores_gemma":[0.0003567444,0.00011518924,0.00027869872,0.0001667421,0.0002595967,0.00016753368,0.00013134691,0.00013553603,0.0001024879],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003819595,0.00006354418,0.0052990015,0.00024476455,0.00003269867,0.000291102,0.00015858264,0.6018476,0.38014594,0.0018503985,0.0001449333,0.009539463],"study_design_scores_gemma":[0.000032469132,0.00017738156,0.008848325,0.000011199531,0.000017867724,0.00008786419,0.00006044083,0.7836425,0.2061398,0.00025911187,0.0007090656,0.0000140238835],"about_ca_topic_score_codex":0.0015810423,"about_ca_topic_score_gemma":0.001216768,"teacher_disagreement_score":0.0015810423,"about_ca_system_score_codex":0.00032982993,"about_ca_system_score_gemma":0.0001328533,"threshold_uncertainty_score":0.0036604404},"labels":[],"label_agreement":null},{"id":"W4383891961","doi":"10.1016/j.mineng.2023.108237","title":"Key factors determining the bulk ore sorting potential in a caving mine","year":2023,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Mitacs; Newcrest Mining","keywords":"Sorting; Mining engineering; Cave; Copper mine; Geology; Copper; Environmental science; Metallurgy; Materials science; Ecology; Computer science","score_opus":0.014841029636317267,"score_gpt":0.2175376775378535,"score_spread":0.20269664790153624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383891961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989882,0.0000391009,0.00022373271,0.000019211873,7.8235405e-7,0.000007666972,0.000036632235,0.0000059622976,0.00067870575],"genre_scores_gemma":[0.9992461,0.000023500292,0.00019368355,0.0000041519347,0.0000012574786,0.000002401203,0.000039188093,0.000004195047,0.00048545084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974424,0.000029802342,0.000022112608,0.00005764231,0.000072430084,0.00007372852],"domain_scores_gemma":[0.9986745,0.0006316311,0.00019497715,0.000031838706,0.00033384046,0.00013326805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038680865,0.00022566387,0.0004492328,0.00073628785,0.00072793354,0.001388805,0.00041255596,0.00053538976,0.0027576303],"category_scores_gemma":[0.0015255474,0.00024920306,0.00024501063,0.0004946947,0.0005530213,0.0005706553,0.0003565229,0.00028425144,0.000513519],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029721153,0.00042948883,0.5005705,0.00017286015,0.00009748601,0.001297882,0.00038163242,0.008752385,0.46359706,0.0007756133,0.00039770405,0.020555362],"study_design_scores_gemma":[0.00004228623,0.0010348174,0.86490947,0.000018870081,0.00006799053,0.000898623,0.0017349296,0.026268648,0.10298548,0.0011745767,0.0008092391,0.000055080414],"about_ca_topic_score_codex":0.011168385,"about_ca_topic_score_gemma":0.013248723,"teacher_disagreement_score":0.011168385,"about_ca_system_score_codex":0.0006738857,"about_ca_system_score_gemma":0.00093257736,"threshold_uncertainty_score":0.022206783},"labels":[],"label_agreement":null},{"id":"W4384789574","doi":"10.1109/tai.2023.3296714","title":"Intelligent Proximate Analysis of Coal Based on Near-Infrared Spectroscopy and Multioutput Deep Learning","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Artificial Intelligence","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Proximate; Coal; Spectroscopy; Infrared; Infrared spectroscopy; Environmental science; Chemistry; Engineering; Physics; Optics; Food science; Waste management; Astronomy; Organic chemistry","score_opus":0.03147731671089384,"score_gpt":0.2822681783860683,"score_spread":0.2507908616751745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384789574","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07835116,0.00095150684,0.9155324,0.00039326487,0.000103692946,0.000054536245,0.00013301036,0.002011852,0.0024685224],"genre_scores_gemma":[0.83616334,0.0004976323,0.15702358,0.00034280642,0.00007750374,0.00009523518,0.00047549116,0.000077317185,0.0052469894],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997367,0.0000329813,0.000012916266,0.00010102563,0.0000750375,0.000041294938],"domain_scores_gemma":[0.99974567,0.00008029443,0.000037197213,0.000032106822,0.0000836063,0.000021092143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050101423,0.0009739047,0.00063780765,0.00079849135,0.00030925276,0.00063321594,0.0014413286,0.00088834437,0.0010556092],"category_scores_gemma":[0.0007769701,0.0004109964,0.0010148899,0.00063340634,0.00039273078,0.0013457931,0.0010298162,0.0011035984,0.00040264142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024680424,0.00036254234,0.006557514,0.00016457916,0.00023382761,0.00026092993,0.00012006537,0.37543583,0.04695579,0.0031712682,0.0028345212,0.56365633],"study_design_scores_gemma":[0.0000029819498,0.00002229805,0.00054880755,0.0000034794368,0.000012237706,0.000021601914,0.0000055314476,0.9946715,0.0037819666,0.0006792763,0.00024429892,0.000005993975],"about_ca_topic_score_codex":0.0055986308,"about_ca_topic_score_gemma":0.008215806,"teacher_disagreement_score":0.0055986308,"about_ca_system_score_codex":0.00069062045,"about_ca_system_score_gemma":0.00066997146,"threshold_uncertainty_score":0.011132121},"labels":[],"label_agreement":null},{"id":"W4384933328","doi":"10.24425/ams.2022.143680","title":"Preprocessing Large Datasets Using Gaussian Mixture Modelling to Improve Prediction Accuracy of Truck Productivity at Mine Sites","year":2023,"lang":"en","type":"article","venue":"Archives of Mining Sciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Environment and Protected Areas","funders":"","keywords":"Truck; Productivity; Preprocessor; Gaussian; Data mining; Engineering; Computer science; Environmental science; Artificial intelligence; Automotive engineering; Chemistry; Economics","score_opus":0.036250004304845033,"score_gpt":0.2867522487309388,"score_spread":0.25050224442609376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384933328","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24411918,0.001021313,0.7396513,0.00087267853,0.00034662703,0.0002575351,0.0042647747,0.007938619,0.001527987],"genre_scores_gemma":[0.6651731,0.0007028733,0.31392312,0.00033271403,0.00016325725,0.00041602144,0.017174546,0.00037404223,0.0017402222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99816006,0.0004830002,0.00021126086,0.0005860673,0.00031663125,0.00024308605],"domain_scores_gemma":[0.99610597,0.0021561044,0.00028174897,0.000540555,0.0008052295,0.00011041438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041584074,0.0019446423,0.0015119769,0.002646104,0.0007278562,0.0017932182,0.0016589169,0.0014932959,0.001164702],"category_scores_gemma":[0.011371322,0.00065629184,0.0035344535,0.0026992245,0.00037824194,0.0023946443,0.0015420009,0.0026995775,0.0011816234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047299944,0.00066405616,0.06992885,0.0004434317,0.0005044122,0.0004045354,0.00042156916,0.5039894,0.014823103,0.001987581,0.012282707,0.39407745],"study_design_scores_gemma":[0.000019690448,0.00006304237,0.013761804,0.000029180435,0.00006473154,0.00003083394,0.00011811452,0.97801685,0.003774112,0.0018606965,0.0022139621,0.000046960315],"about_ca_topic_score_codex":0.024656573,"about_ca_topic_score_gemma":0.021452712,"teacher_disagreement_score":0.024656573,"about_ca_system_score_codex":0.0008375623,"about_ca_system_score_gemma":0.001685992,"threshold_uncertainty_score":0.049026072},"labels":[],"label_agreement":null},{"id":"W4385356628","doi":"10.1016/j.mineng.2023.108272","title":"Investigation of residence time and fluid volume in spiral concentrators","year":2023,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Spiral (railway); Residence time (fluid dynamics); Trough (economics); Concentrator; Volume (thermodynamics); TRACER; Slurry; Mechanics; Environmental science; Materials science; Petroleum engineering; Chemistry; Engineering; Mechanical engineering; Environmental engineering; Physics; Geotechnical engineering; Thermodynamics; Telecommunications","score_opus":0.012397443607629427,"score_gpt":0.1974680134376134,"score_spread":0.18507056982998396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385356628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952663,0.0002741118,0.0036827344,0.000025613792,0.000003438339,0.000006941497,0.00006449884,0.000048873895,0.00062741706],"genre_scores_gemma":[0.9978836,0.00012044431,0.0012266242,0.000005324585,0.00000287895,0.0000053106087,0.0000544577,0.0000100858515,0.00069124566],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978465,0.000025779394,0.000007697447,0.000059578197,0.00007802608,0.00004414174],"domain_scores_gemma":[0.9991346,0.0004479783,0.00013675838,0.000045594403,0.00020115488,0.00003393689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044525828,0.00018290628,0.0003338162,0.00029919928,0.00025961798,0.0004021138,0.0004155316,0.00036223457,0.00082030246],"category_scores_gemma":[0.0010595174,0.00017397308,0.00023630811,0.00039292383,0.00030922977,0.00039691312,0.0002106853,0.00030644605,0.00017250246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005418479,0.000039828876,0.004844402,0.00005245998,0.0000087501285,0.000078678415,0.00010399347,0.0017245692,0.9874549,0.0003180055,0.000050417802,0.0047821356],"study_design_scores_gemma":[0.00001046183,0.00047292007,0.0067103156,0.000004820211,0.000012514032,0.00010222373,0.0001000706,0.01859459,0.97325706,0.00006961891,0.0006551609,0.000010303712],"about_ca_topic_score_codex":0.0016969928,"about_ca_topic_score_gemma":0.0008048399,"teacher_disagreement_score":0.0016969928,"about_ca_system_score_codex":0.0004614798,"about_ca_system_score_gemma":0.00043740968,"threshold_uncertainty_score":0.0033742785},"labels":[],"label_agreement":null},{"id":"W4385774275","doi":"10.1016/j.mineng.2023.108287","title":"Novel technique for the preparation and analysis of powder-based polished sections by automated optical Mineralogy: Part 1 – Comparative study of representativity","year":2023,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agnico Eagle (Canada); Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Materials science; Rheology; Optical microscope; Acrylic resin; Epoxy; Sedimentation; Mineralogy; Composite material; Geology; Scanning electron microscope; Coating","score_opus":0.03807473803910962,"score_gpt":0.3201848358887875,"score_spread":0.2821100978496779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385774275","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21932636,0.0017751835,0.77312267,0.00013061451,0.00012724579,0.00022817035,0.00058384903,0.0011045489,0.0036013296],"genre_scores_gemma":[0.28826103,0.0014295883,0.70580137,0.000056211415,0.00005075683,0.00025749908,0.0006843203,0.00021765372,0.0032415993],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99964464,0.000029347144,0.000023205916,0.00010440298,0.00016814559,0.000030221026],"domain_scores_gemma":[0.9994424,0.00013638314,0.00008617982,0.00015644592,0.00015664344,0.000021995656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048471068,0.0005225022,0.0003707616,0.0013100597,0.00054000155,0.00049229147,0.0008802938,0.0005601592,0.002048697],"category_scores_gemma":[0.0005401287,0.00048262934,0.0003003906,0.0007117396,0.0005941157,0.00076544547,0.0005459943,0.0008733169,0.00053163455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015079803,0.000013280253,0.00021233295,0.000041065614,0.000006277043,0.000018875984,0.00002517896,0.000064496075,0.99383414,0.00027655906,0.000044134606,0.0054487167],"study_design_scores_gemma":[0.000010116843,0.00011817376,0.0062104026,0.000008157653,0.000035083,0.0007928078,0.000050393402,0.003427709,0.983432,0.00040133027,0.0054956716,0.000018243467],"about_ca_topic_score_codex":0.0007753467,"about_ca_topic_score_gemma":0.0023587863,"teacher_disagreement_score":0.002048697,"about_ca_system_score_codex":0.00027552462,"about_ca_system_score_gemma":0.00052257685,"threshold_uncertainty_score":0.0068535805},"labels":[],"label_agreement":null},{"id":"W4385777651","doi":"10.1016/j.jobe.2023.107558","title":"Mechanical grinding kinetics and particle packing novel characterization of iron ore tailings as inert filler for cement mortar","year":2023,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Fineness; Materials science; Grinding; Composite material; Compressive strength; Mortar; Particle (ecology); Roundness (object); Cement; Particle size; Inert; Chemical engineering; Chemistry","score_opus":0.01676573218316433,"score_gpt":0.2395661453950998,"score_spread":0.22280041321193547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385777651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99698466,0.0003174686,0.0017173407,0.000014277418,0.0000074474647,0.000012333012,0.00013613368,0.000034054065,0.0007762143],"genre_scores_gemma":[0.9976926,0.00012205879,0.00085663795,0.00000715572,0.0000031497589,0.00000598962,0.00012552772,0.000018722929,0.0011682423],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998111,0.000017096072,0.000011648217,0.00004931735,0.00008007959,0.000030717132],"domain_scores_gemma":[0.99973625,0.0001179778,0.00004941855,0.000019967127,0.000060544946,0.0000157525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003082152,0.00020477714,0.00020555574,0.0002881561,0.00018454123,0.00027034048,0.00022872117,0.00023022888,0.0012734927],"category_scores_gemma":[0.00049156346,0.00018437396,0.00022027279,0.0001490575,0.00026210307,0.0003668913,0.0001046089,0.00032264806,0.00027144174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010449377,0.000021840633,0.00043490852,0.00002518665,0.0000034522807,0.000021664076,0.000045378016,0.00024531732,0.9972836,0.000040991632,0.000026614101,0.0017465493],"study_design_scores_gemma":[0.0000030770873,0.00017416195,0.007702872,0.0000023477392,0.000008063142,0.000032817476,0.00003720935,0.0025663448,0.9890883,0.000020625743,0.0003572239,0.00000705942],"about_ca_topic_score_codex":0.0018809115,"about_ca_topic_score_gemma":0.004759729,"teacher_disagreement_score":0.0018809115,"about_ca_system_score_codex":0.00023307363,"about_ca_system_score_gemma":0.0001435859,"threshold_uncertainty_score":0.004260242},"labels":[],"label_agreement":null},{"id":"W4385799479","doi":"10.17159/2411-9717/2770/2023","title":"Predicting open stope performance at an octree resolution using multivariate models","year":2023,"lang":"en","type":"article","venue":"Journal of the Southern African Institute of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"IAMGOLD; Minerals Research Institute of Western Australia","keywords":"Multivariate statistics; Chart; Stability (learning theory); Computer science; Engineering; Mining engineering; Statistics; Mathematics; Machine learning","score_opus":0.06636994571250689,"score_gpt":0.2637288542163635,"score_spread":0.19735890850385662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385799479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73286605,0.00010929568,0.26350367,0.00008652871,0.000015723146,0.000036442227,0.0010810896,0.0009334153,0.0013677357],"genre_scores_gemma":[0.94576186,0.000054261647,0.0522359,0.0000074171658,0.0000042793927,0.000027614096,0.001175648,0.00005468097,0.000678237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959415,0.00012787744,0.000020631465,0.00010261688,0.000098015254,0.000056648],"domain_scores_gemma":[0.9980483,0.0010829464,0.0003204521,0.00021159792,0.00026609868,0.00007054014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011491659,0.0006450074,0.00045370116,0.0011038198,0.00026942184,0.0007961702,0.00048282306,0.00043556516,0.0013045266],"category_scores_gemma":[0.0031768053,0.0002601713,0.00084674277,0.0010179286,0.00023880522,0.0006427391,0.0004788926,0.00066895096,0.0005903989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015506038,0.00011042926,0.067763686,0.000039930725,0.00007003456,0.00005970202,0.00007792517,0.87908584,0.0036943639,0.00052905397,0.000462371,0.047951527],"study_design_scores_gemma":[0.0000035762773,0.00005544916,0.01744871,0.0000047257267,0.000009323536,0.000019370122,0.000041885287,0.9805565,0.0011554415,0.00039251888,0.00029848932,0.000014003962],"about_ca_topic_score_codex":0.0124142235,"about_ca_topic_score_gemma":0.018576946,"teacher_disagreement_score":0.0124142235,"about_ca_system_score_codex":0.00057222194,"about_ca_system_score_gemma":0.00055463135,"threshold_uncertainty_score":0.024683893},"labels":[],"label_agreement":null},{"id":"W4385807045","doi":"10.3749/2300038","title":"Picture-Perfect Petrography: Affordable Thin-Section Scanning for Geoscientists in the Digital Era","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Mineralogy and Petrology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Citation; Section (typography); Petrography; Download; Library science; Archaeology; Geology; History; Geochemistry; Advertising; World Wide Web; Computer science; Business","score_opus":0.012705034614565966,"score_gpt":0.21949940962059053,"score_spread":0.20679437500602457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385807045","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01082195,0.009670201,0.12621343,0.026374178,0.005779941,0.0009295986,0.04267776,0.057575595,0.7199575],"genre_scores_gemma":[0.07448636,0.02225172,0.4146421,0.005050467,0.0035639089,0.0007390266,0.036104355,0.026260724,0.41690132],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99824095,0.00014523928,0.00007724488,0.00013203094,0.0012602799,0.0001442673],"domain_scores_gemma":[0.9922465,0.0012597474,0.00028061774,0.0015235409,0.0034782211,0.0012114658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002856356,0.00077216583,0.0005321735,0.005355226,0.0022191796,0.0054069743,0.0023122302,0.0020228713,0.24725221],"category_scores_gemma":[0.008985709,0.0010612817,0.0006497422,0.0059829154,0.0012827781,0.0067390595,0.005872611,0.0014044357,0.10227855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009465205,0.00002223634,0.0014456264,0.0003408379,0.000015908974,0.0002890729,0.00040719297,0.00050089584,0.0023457715,0.005532406,0.7920183,0.1969871],"study_design_scores_gemma":[0.000026789014,0.000012936801,0.0019043197,0.00017951099,0.000011747187,0.0003244027,0.0006417681,0.0006517961,0.0010682318,0.0055769053,0.98956877,0.000032845255],"about_ca_topic_score_codex":0.026493397,"about_ca_topic_score_gemma":0.119732,"teacher_disagreement_score":0.9735066,"about_ca_system_score_codex":0.0017405006,"about_ca_system_score_gemma":0.0053654206,"threshold_uncertainty_score":0.82714105},"labels":[],"label_agreement":null},{"id":"W4385886268","doi":"10.55274/r0011492","title":"PR-461-14602-R02 Sample Mixing and Centrifugal Forces on Density and Sediment-Water Results","year":2018,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Northern Alberta Institute of Technology","funders":"","keywords":"Centrifuge; Mixing (physics); Sample (material); Sediment; Petroleum engineering; Viscosity; Environmental science; Crude oil; Pipeline (software); Mechanics; Materials science; Soil science; Geology; Chemistry; Chromatography; Mechanical engineering; Engineering; Physics","score_opus":0.02508328699795876,"score_gpt":0.24947180225960872,"score_spread":0.22438851526164996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385886268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5229724,0.001559052,0.03769985,0.0015029475,0.00045390258,0.002136551,0.017135052,0.0044096704,0.41213056],"genre_scores_gemma":[0.5746781,0.0017510969,0.08265431,0.00022519485,0.000056541674,0.0006338352,0.017940052,0.0016458302,0.32041508],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9962863,0.00056417566,0.00018691093,0.00024047238,0.0025362372,0.00018591149],"domain_scores_gemma":[0.9980703,0.00046424687,0.00014426121,0.00020259811,0.001037551,0.00008119438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001946054,0.00043443084,0.00027379894,0.0012023699,0.00070148817,0.0008231724,0.0007589184,0.00048315356,0.05077165],"category_scores_gemma":[0.0021166026,0.00023932265,0.00027905445,0.00093483296,0.0004434528,0.0006673326,0.0007591513,0.00046953608,0.022699067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023872056,0.0028428906,0.033119712,0.00094546244,0.000065635606,0.0014083735,0.0007585319,0.0026138623,0.58113956,0.0066125514,0.054329883,0.31377628],"study_design_scores_gemma":[0.0000862851,0.00160726,0.031941038,0.0000834462,0.000027552982,0.0009081505,0.00057256233,0.0031436887,0.84295654,0.00034060384,0.118299216,0.00003354328],"about_ca_topic_score_codex":0.0068857693,"about_ca_topic_score_gemma":0.0069569605,"teacher_disagreement_score":0.05077165,"about_ca_system_score_codex":0.0008501532,"about_ca_system_score_gemma":0.0010796511,"threshold_uncertainty_score":0.16984808},"labels":[],"label_agreement":null},{"id":"W4386071108","doi":"10.11159/mmme23.116","title":"Risk Estimation of In-Pit Crushing System at the Operational Copper Mine in Kazakhstan","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Copper; Estimation; Mining engineering; Copper mine; Engineering; Computer science; Environmental science; Metallurgy; Systems engineering; Materials science","score_opus":0.006236165631824413,"score_gpt":0.20326210766763778,"score_spread":0.19702594203581336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386071108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822682,0.00013964904,0.016151845,0.000116774434,0.000007278682,0.000026921998,0.00024694356,0.00007422246,0.0009680996],"genre_scores_gemma":[0.9987111,0.00004200367,0.0008263902,0.000003449266,0.0000014764354,0.000008114875,0.000120695106,0.0000028787774,0.00028393327],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99955636,0.00011550433,0.00002837607,0.00008997503,0.00010653582,0.00010329046],"domain_scores_gemma":[0.99893934,0.00051363395,0.00023973841,0.00005202711,0.00020632104,0.00004898227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009106185,0.0007149595,0.0005303359,0.00074272585,0.00042778332,0.00094270264,0.0006964931,0.0007554758,0.0007192218],"category_scores_gemma":[0.0015226607,0.0002768053,0.00059016765,0.00045905728,0.00036697087,0.00061154045,0.0007477582,0.0006065689,0.00007926228],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010187332,0.000039723174,0.026104972,0.00005060999,0.000038930604,0.000499912,0.00010098544,0.9668345,0.0016555412,0.00087080756,0.0002582925,0.003443779],"study_design_scores_gemma":[0.0000049978094,0.000089505615,0.0129666785,0.0000068978916,0.00001944678,0.00007807183,0.00014268106,0.98539424,0.0007233366,0.00044803068,0.000112362766,0.000013662529],"about_ca_topic_score_codex":0.032515615,"about_ca_topic_score_gemma":0.012064419,"teacher_disagreement_score":0.032515615,"about_ca_system_score_codex":0.001289308,"about_ca_system_score_gemma":0.0008715542,"threshold_uncertainty_score":0.06465268},"labels":[],"label_agreement":null},{"id":"W4386071208","doi":"10.11159/mmme23.115","title":"Thermodynamic Modelling Of Belite Clinker Mineralogy During Manufacture","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado da Bahia; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Belite; Clinker (cement); Materials science; Metallurgy; Mineralogy; Geology; Cement","score_opus":0.008902172610278472,"score_gpt":0.1911445910927265,"score_spread":0.18224241848244802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386071208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9226718,0.00093983614,0.057681005,0.00016514651,0.000051081315,0.00015378249,0.001971074,0.000356265,0.016010053],"genre_scores_gemma":[0.9889604,0.0004045266,0.006904275,0.000015650816,0.0000060983552,0.00016676399,0.0007227767,0.00008839622,0.0027310934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998547,0.000017159706,0.000008493942,0.000039608552,0.000052336716,0.000027695669],"domain_scores_gemma":[0.9998116,0.00010202798,0.000018942432,0.0000143717325,0.0000415869,0.000011482451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031865507,0.0004236434,0.00054554257,0.00048892415,0.00042976465,0.00082474103,0.00070436706,0.00080984266,0.0024299198],"category_scores_gemma":[0.00082975597,0.0003849154,0.00073694496,0.0005210112,0.0004177924,0.0006296707,0.00033255987,0.0004200003,0.00045453513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012436045,0.000055454937,0.0030106325,0.00021588121,0.000018098817,0.00015137675,0.0000925434,0.94950306,0.03998236,0.002210377,0.00022172797,0.004414188],"study_design_scores_gemma":[0.000016251193,0.000054879172,0.0014450101,0.000009265269,0.000010177577,0.000034249162,0.000024226634,0.9839723,0.012586264,0.0006021329,0.0012297059,0.000015587479],"about_ca_topic_score_codex":0.00767355,"about_ca_topic_score_gemma":0.0058742734,"teacher_disagreement_score":0.00767355,"about_ca_system_score_codex":0.00095958094,"about_ca_system_score_gemma":0.0008107766,"threshold_uncertainty_score":0.015257776},"labels":[],"label_agreement":null},{"id":"W4386072914","doi":"10.11159/mmme23.126","title":"Modelling And Evaluation Of Aggregate And Ornamental Rock Quality","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Aggregate (composite); Quality (philosophy); Computer science; Mining engineering; Geology; Materials science; Composite material","score_opus":0.025621510195259767,"score_gpt":0.253797173465449,"score_spread":0.22817566327018923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386072914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5527018,0.0006721499,0.43486428,0.00014284703,0.000032258024,0.00024836793,0.0023457538,0.00096658047,0.008025964],"genre_scores_gemma":[0.9678486,0.00033561877,0.028921923,0.000009131681,0.0000085035,0.00010206501,0.00068913534,0.000051331106,0.0020335787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995765,0.00005894672,0.000030851646,0.00009511355,0.00019175498,0.000046790436],"domain_scores_gemma":[0.99962986,0.00012299677,0.00008637389,0.00004594314,0.00009332193,0.00002145072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005484693,0.00070161524,0.00050412444,0.00096722465,0.0001927074,0.0013939848,0.0011401186,0.00089697394,0.0014972585],"category_scores_gemma":[0.0010299913,0.00032558106,0.0007622648,0.0008788828,0.00048153882,0.00078781083,0.00057209516,0.0003216585,0.0004366804],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036756686,0.000036531317,0.009322471,0.000056896974,0.000029244875,0.000050151724,0.000029153094,0.9737135,0.00367123,0.0005988494,0.0001458574,0.012309384],"study_design_scores_gemma":[0.0000024187066,0.000026693137,0.0028786429,0.0000045596985,0.000010606765,0.000017216658,0.000012868699,0.9953237,0.0010728156,0.00033271618,0.00031174318,0.000005946911],"about_ca_topic_score_codex":0.013654511,"about_ca_topic_score_gemma":0.010041991,"teacher_disagreement_score":0.013654511,"about_ca_system_score_codex":0.0008532412,"about_ca_system_score_gemma":0.0007035174,"threshold_uncertainty_score":0.027150035},"labels":[],"label_agreement":null},{"id":"W4386074673","doi":"10.11159/mvml23.117","title":"Revamping Bolt Inspection in Oil and Gas Industry: Edge-Deployed Robotic Machine Vision Model applying Knowledge Distillation","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Machine vision; Distillation; Enhanced Data Rates for GSM Evolution; Petroleum industry; Computer science; Robot; Robot vision; Artificial intelligence; Manufacturing engineering; Automotive engineering; Engineering; Mechanical engineering; Mobile robot; Chemistry","score_opus":0.010846679440256397,"score_gpt":0.2274997137394597,"score_spread":0.21665303429920332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386074673","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20051306,0.0010764411,0.79105693,0.0005027582,0.00014766137,0.000060455386,0.00009669232,0.00090066495,0.0056453925],"genre_scores_gemma":[0.97356796,0.0001844616,0.023552265,0.00007842646,0.000017054112,0.000028414153,0.000070188755,0.000028500892,0.0024727387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985576,0.00001913028,0.000006164359,0.00005093416,0.00003279168,0.000035132925],"domain_scores_gemma":[0.99977213,0.000090542475,0.000023566743,0.000022908034,0.00007441126,0.0000164467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045983645,0.00059376046,0.00082119845,0.0003411215,0.00030764655,0.00085625914,0.0011462561,0.0014793137,0.0012774044],"category_scores_gemma":[0.00078649813,0.0003544291,0.0006714125,0.0003128466,0.00059731543,0.00096023624,0.00069717015,0.00088817603,0.00029437165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017321693,0.00008662131,0.000701553,0.000063000676,0.000030719046,0.00008064982,0.000045386474,0.93121064,0.00392553,0.0016660652,0.00063345407,0.061383262],"study_design_scores_gemma":[0.0000018137788,0.000012962734,0.000075376935,0.0000012351003,0.0000026052837,0.0000042119527,0.0000023826988,0.9993788,0.00026986233,0.00020273859,0.000046031844,0.0000020101818],"about_ca_topic_score_codex":0.018382901,"about_ca_topic_score_gemma":0.010800516,"teacher_disagreement_score":0.018382901,"about_ca_system_score_codex":0.0005538492,"about_ca_system_score_gemma":0.001101587,"threshold_uncertainty_score":0.036551833},"labels":[],"label_agreement":null},{"id":"W4386481217","doi":"10.1080/17480930.2023.2243783","title":"Machine learning algorithms for real-time coal recognition using monitor-while-drilling data","year":2023,"lang":"en","type":"article","venue":"International Journal of Mining Reclamation and Environment","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Drill; Coal mining; Drilling; Coal; Mining engineering; Well logging; Artificial neural network; Artificial intelligence; Geology; Machine learning; Computer science; Petroleum engineering; Engineering","score_opus":0.07798018344904031,"score_gpt":0.2897478993919393,"score_spread":0.21176771594289898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386481217","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015298399,0.0005016245,0.98075414,0.00014879569,0.000058642185,0.00009126719,0.00012521815,0.002131158,0.00089071144],"genre_scores_gemma":[0.38468874,0.00060772075,0.60957575,0.0001935521,0.00011351949,0.00058275857,0.0008597595,0.0001472582,0.0032310535],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992567,0.00014569575,0.00010126044,0.000252357,0.00016611865,0.000077807774],"domain_scores_gemma":[0.9979962,0.0011355041,0.0002031081,0.00015204799,0.00047054607,0.000042682677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017634856,0.0012834808,0.0011747977,0.0013409811,0.0006152775,0.0012035358,0.0016536689,0.0015199714,0.0016996291],"category_scores_gemma":[0.0059524006,0.00047393766,0.00089550257,0.0014006164,0.00045153784,0.0012762655,0.00077742373,0.0018664908,0.001490957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015213556,0.0002157387,0.0028705134,0.00010734854,0.00008141715,0.000094505645,0.000087696324,0.37688893,0.004829669,0.0031663068,0.0024278248,0.60907793],"study_design_scores_gemma":[0.000004380661,0.000020768783,0.0003054854,0.000007199211,0.000004525955,0.000012306495,0.000012142524,0.99697316,0.0008507287,0.0014249803,0.00037901735,0.0000052221753],"about_ca_topic_score_codex":0.0067464206,"about_ca_topic_score_gemma":0.004249642,"teacher_disagreement_score":0.0067464206,"about_ca_system_score_codex":0.00091784453,"about_ca_system_score_gemma":0.0011591994,"threshold_uncertainty_score":0.013414264},"labels":[],"label_agreement":null},{"id":"W4386623188","doi":"10.1016/j.mineng.2023.108359","title":"Development of a simplified test for the determination of the Bond Ball Mill Work Index using a modified Hardgrove test","year":2023,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ball mill; Mill; Ball (mathematics); Work (physics); Test (biology); Index (typography); Engineering; Mechanical engineering; Manufacturing engineering; Process engineering; Computer science; Mathematics; Geology; Chemical engineering; Geometry","score_opus":0.03227846810455129,"score_gpt":0.2413021512315702,"score_spread":0.2090236831270189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386623188","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11006023,0.0007865436,0.87641215,0.00014865365,0.0002959705,0.0010649737,0.00091204327,0.003210348,0.007109005],"genre_scores_gemma":[0.4707687,0.00055681035,0.5157949,0.00030593303,0.000106103835,0.0010631508,0.0020316446,0.0004535755,0.008919238],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9907342,0.00091417343,0.00047248462,0.0007458183,0.0069096284,0.00022370525],"domain_scores_gemma":[0.99054843,0.0032109607,0.0006872559,0.0013661037,0.003927964,0.00025926623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023569614,0.0014701532,0.0015979488,0.0033287578,0.00064729864,0.0012341505,0.0042435187,0.0016714582,0.0042607994],"category_scores_gemma":[0.008997954,0.0009249767,0.0010722143,0.0016526199,0.0008421763,0.0014928543,0.0018902087,0.0011695615,0.0030409447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008763901,0.00064913265,0.022458732,0.000626467,0.00020532357,0.0003041752,0.00020817321,0.00689045,0.7469285,0.0029311082,0.0023344741,0.21558692],"study_design_scores_gemma":[0.00023365158,0.0050248355,0.10090433,0.00009754659,0.00034754223,0.0022443894,0.00022358983,0.13474895,0.7332142,0.0020761741,0.020467967,0.0004168771],"about_ca_topic_score_codex":0.0037799624,"about_ca_topic_score_gemma":0.006201045,"teacher_disagreement_score":0.0042607994,"about_ca_system_score_codex":0.00066974893,"about_ca_system_score_gemma":0.0014631128,"threshold_uncertainty_score":0.014253795},"labels":[],"label_agreement":null},{"id":"W4386733548","doi":"10.17721/1728-2713.101.11","title":"CONTROL SAMPLES USING FOR QUALITY ASSURANCE AND CONTROL (QA/QC)","year":2023,"lang":"en","type":"article","venue":"Visnyk of Taras Shevchenko National University of Kyiv Geology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quality assurance; Quality (philosophy); Sample (material); Control (management); QA/QC; Computer science; Quality control; Operations management; Operations research; Engineering; External quality assessment; Artificial intelligence; Chemistry","score_opus":0.03592100578763781,"score_gpt":0.26201766594370696,"score_spread":0.22609666015606916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386733548","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.076293275,0.014990404,0.82371986,0.0025488448,0.0051790434,0.011700397,0.008396233,0.011924569,0.045247354],"genre_scores_gemma":[0.24219522,0.007664425,0.68241435,0.004459856,0.0010442082,0.012053646,0.013394365,0.00321361,0.033560257],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.93447655,0.012535206,0.004770877,0.01289013,0.033894148,0.0014330893],"domain_scores_gemma":[0.96847624,0.0061841113,0.0034016978,0.0061121024,0.015458909,0.00036692256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028586362,0.0024110957,0.00242639,0.004059461,0.0032402938,0.004526953,0.003135028,0.0032161125,0.017968254],"category_scores_gemma":[0.03623792,0.0013884077,0.0022676997,0.0033201345,0.004300999,0.0024399536,0.002152532,0.0030142916,0.0087307505],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029712187,0.0013945265,0.021190686,0.009524299,0.0008560513,0.00074686215,0.003915465,0.0029904612,0.5379726,0.025249362,0.054175,0.3390135],"study_design_scores_gemma":[0.0002839978,0.0013523547,0.0134295905,0.0011756213,0.0007317128,0.0010438478,0.00080054963,0.0063189487,0.5931492,0.006133308,0.37526792,0.00031291757],"about_ca_topic_score_codex":0.004130036,"about_ca_topic_score_gemma":0.0036813428,"teacher_disagreement_score":0.028586362,"about_ca_system_score_codex":0.0025391467,"about_ca_system_score_gemma":0.0060599744,"threshold_uncertainty_score":0.15118092},"labels":[],"label_agreement":null},{"id":"W4386815835","doi":"10.1016/j.chemolab.2023.104991","title":"Adjusting plant operating conditions to widen multivariate specification regions for incoming raw materials – An optimization framework","year":2023,"lang":"en","type":"article","venue":"Chemometrics and Intelligent Laboratory Systems","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Rio Tinto; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Raw material; Profitability index; Process engineering; Process (computing); Quality (philosophy); Computer science; Reliability engineering; Final product; Multivariate statistics; Range (aeronautics); Product (mathematics); Raw data; Product design specification; Product design; Engineering; Mathematics","score_opus":0.05392196698222335,"score_gpt":0.29687371195928997,"score_spread":0.24295174497706662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386815835","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0505977,0.00017403314,0.946396,0.0002379949,0.000010398125,0.000065228516,0.00008606232,0.00032770963,0.0021048817],"genre_scores_gemma":[0.79679716,0.00017914567,0.19967362,0.00013748839,0.00002973063,0.00015787642,0.00022243263,0.00019144778,0.0026110848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903643,0.00044166858,0.00002979687,0.00024194634,0.00015194903,0.000098195706],"domain_scores_gemma":[0.9984073,0.0010872453,0.00018908567,0.00009525259,0.00017772782,0.000043433873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003624691,0.0012835762,0.0011173685,0.00069178507,0.00033593795,0.0014011967,0.0014715323,0.0013551835,0.0012564468],"category_scores_gemma":[0.00523298,0.0009523959,0.001190092,0.00061866624,0.0008722666,0.0018276246,0.0010880277,0.0015123909,0.0002620631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061938714,0.00006366336,0.0003308595,0.000023952509,0.00003597529,0.000012996946,0.000020893165,0.9823893,0.0021859794,0.0024815495,0.00016958562,0.012223278],"study_design_scores_gemma":[0.000007173107,0.000027525613,0.00018929456,0.0000022738277,0.000008351915,0.0000027934814,0.0000049446953,0.9977646,0.00085344084,0.0010050889,0.00012929107,0.000005173646],"about_ca_topic_score_codex":0.0046448233,"about_ca_topic_score_gemma":0.0036395644,"teacher_disagreement_score":0.0046448233,"about_ca_system_score_codex":0.0008430423,"about_ca_system_score_gemma":0.00138259,"threshold_uncertainty_score":0.01916945},"labels":[],"label_agreement":null},{"id":"W4386820312","doi":"10.1016/j.apenergy.2023.121900","title":"Application of instantaneous power draw analysis to investigate the impact of microwave heating on kimberlite ore crushing","year":2023,"lang":"en","type":"article","venue":"Applied Energy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Crusher; Breakage; Microwave; Materials science; Comminution; Energy consumption; Metallurgy; Composite material; Engineering; Electrical engineering","score_opus":0.008511194175158861,"score_gpt":0.23582104773433635,"score_spread":0.2273098535591775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386820312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844232,0.00024092881,0.011219602,0.000029024572,0.000013823568,0.000022290382,0.00020928087,0.00019934805,0.003642449],"genre_scores_gemma":[0.9982406,0.000073105155,0.001068362,0.0000046790665,0.000002031869,0.0000053141152,0.000043032243,0.000011300542,0.00055166916],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999931,0.000006429553,0.0000028705092,0.000014149557,0.000034787612,0.000010749314],"domain_scores_gemma":[0.999828,0.000083996565,0.000013453402,0.00001121873,0.0000556402,0.000007600325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015405855,0.00017481,0.00025859624,0.0006295869,0.00026156587,0.00030855773,0.00027164575,0.00027163874,0.0015083452],"category_scores_gemma":[0.00031181157,0.00014415508,0.00022057588,0.0005743612,0.00015585286,0.00024270815,0.00011048352,0.00027566493,0.00017227924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010553072,0.00016995562,0.036322337,0.00032309632,0.000071259696,0.00043337673,0.0003133762,0.012312556,0.8676298,0.00039907728,0.00033701412,0.08063278],"study_design_scores_gemma":[0.000029270706,0.00072281423,0.19665228,0.00001585029,0.00009917255,0.00024105792,0.0004299773,0.13678463,0.6625612,0.00030534423,0.0021209253,0.000037435948],"about_ca_topic_score_codex":0.0030892706,"about_ca_topic_score_gemma":0.00506628,"teacher_disagreement_score":0.0030892706,"about_ca_system_score_codex":0.00024849887,"about_ca_system_score_gemma":0.00016386733,"threshold_uncertainty_score":0.0061426163},"labels":[],"label_agreement":null},{"id":"W4386971157","doi":"10.1115/omae2023-105113","title":"Study of the Influence of Microwave Irradiation on Hard Formation Property Alteration Through Nondestructive/Destructive Tests and Drilling/Coring Operations","year":2023,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Coring; Drilling; Ultimate tensile strength; Poisson's ratio; Petroleum engineering; Elasticity (physics); Materials science; Geology; Composite material; Poisson distribution; Metallurgy","score_opus":0.028738831992086666,"score_gpt":0.25212680162132184,"score_spread":0.22338796962923518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386971157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935725,0.00031639988,0.004878972,0.00002172757,0.000015713267,0.00002389609,0.00009983851,0.000047810256,0.0010231958],"genre_scores_gemma":[0.99689794,0.00014412914,0.0019113639,0.000013624748,0.0000034077823,0.000015893862,0.000044607033,0.000009196924,0.00095979316],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999731,0.000029779676,0.000022087952,0.000042648386,0.00014668306,0.000027800786],"domain_scores_gemma":[0.9993381,0.00022540065,0.00017381753,0.00008131676,0.00015444797,0.000027003372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028973597,0.00024194157,0.00015121515,0.00024893117,0.00012252657,0.00016241985,0.00016677899,0.00020138419,0.0010957845],"category_scores_gemma":[0.0006193125,0.000118925906,0.0001693657,0.00022587266,0.00020423274,0.00017340916,0.00014823666,0.00025736174,0.0001390199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011832631,0.000029022478,0.0018795091,0.00006243808,0.000007310929,0.000058259106,0.000077013654,0.0002989252,0.99202806,0.00003996635,0.000030869942,0.0053702453],"study_design_scores_gemma":[0.0000028069328,0.0005588363,0.011344659,0.0000036577549,0.00001607619,0.000066955065,0.00008972199,0.00092177826,0.98644245,0.000019489777,0.00052815914,0.000005370182],"about_ca_topic_score_codex":0.00025189525,"about_ca_topic_score_gemma":0.0005659024,"teacher_disagreement_score":0.0010957845,"about_ca_system_score_codex":0.00008775636,"about_ca_system_score_gemma":0.00006689605,"threshold_uncertainty_score":0.0036657453},"labels":[],"label_agreement":null},{"id":"W4387653708","doi":"10.3390/min13101333","title":"Tracking Grade Heterogeneity in a Panel Cave Mine: A Reconciliation Study Investigating the Impact of Mixing from an Ore Sorting Perspective","year":2023,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Newcrest Mining","keywords":"Sorting; Cave; Mixing (physics); Mining engineering; Geology; Block (permutation group theory); Mineralogy; Quartz; Environmental science; Geography; Archaeology; Computer science; Mathematics; Paleontology","score_opus":0.10237634248677431,"score_gpt":0.3489072979337287,"score_spread":0.24653095544695441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387653708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960961,0.000027791151,0.0027750486,0.000016062288,0.0000062904237,0.000040960003,0.00018967262,0.00006634998,0.00078179536],"genre_scores_gemma":[0.98960704,0.000043437045,0.008925853,0.00003245509,0.000004039527,0.00003291325,0.0004520554,0.00003685111,0.00086536637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993286,0.000049940194,0.000036738,0.00020500213,0.00030497232,0.00007479094],"domain_scores_gemma":[0.998899,0.0002085033,0.0001904968,0.00018126937,0.00046702015,0.000053638854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010033848,0.00031748155,0.0005359016,0.00083134434,0.00068948866,0.00074027246,0.0008119472,0.0008399348,0.0005980061],"category_scores_gemma":[0.0014379012,0.00033142898,0.0005357282,0.0009405266,0.0004081563,0.00051204703,0.0005542142,0.0006353817,0.00020929598],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020582597,0.0012599077,0.44661248,0.00035247565,0.00034737194,0.0027551663,0.0035218787,0.010877317,0.42121425,0.0005265847,0.0012358602,0.10923844],"study_design_scores_gemma":[0.00007672824,0.0029416855,0.78581905,0.000051413317,0.00023232451,0.0016266062,0.0024697431,0.050423242,0.15001404,0.00034512352,0.005875361,0.00012482391],"about_ca_topic_score_codex":0.011766848,"about_ca_topic_score_gemma":0.029871108,"teacher_disagreement_score":0.011766848,"about_ca_system_score_codex":0.00059923134,"about_ca_system_score_gemma":0.0007687074,"threshold_uncertainty_score":0.02339673},"labels":[],"label_agreement":null},{"id":"W4387788892","doi":"10.1007/978-3-031-38141-6_134","title":"Improving Sustainability in Mining Operations Through the Integration of ShovelSense® and BeltSense® Technologies for Mine-to-Mill Optimization","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MineSense Technologies (Canada)","funders":"","keywords":"Excavator; Profitability index; Sustainability; Truck; Exploit; Mill; Mining industry; Engineering; Emerging technologies; Computer science; Mining engineering; Business; Civil engineering; Automotive engineering; Computer security; Mechanical engineering","score_opus":0.025165895030234316,"score_gpt":0.2575457487535237,"score_spread":0.2323798537232894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387788892","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0600041,0.017598148,0.5271011,0.002821227,0.000654469,0.000090033405,0.0004182594,0.0018482652,0.3894644],"genre_scores_gemma":[0.44740418,0.025674853,0.22459017,0.00052172353,0.00022949124,0.0001270647,0.0007700109,0.0007627577,0.29991975],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99967825,0.000027273047,0.0000060315383,0.000028168508,0.00024383637,0.000016403805],"domain_scores_gemma":[0.9999261,0.000025969206,0.000007083051,0.000006386359,0.000028473652,0.000006033287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002291608,0.00049256743,0.00023632974,0.00031094204,0.00018330452,0.001217597,0.0004010918,0.00045228997,0.004594444],"category_scores_gemma":[0.0002415161,0.00017599057,0.00036332555,0.00062263774,0.00034102102,0.0010425996,0.0008666446,0.00074401195,0.0012673845],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055810924,0.000101306,0.0014765172,0.00048710156,0.000026808193,0.00012433052,0.00018814429,0.0409149,0.07029468,0.057179965,0.022072772,0.8070777],"study_design_scores_gemma":[0.000020798492,0.000528591,0.006812173,0.00038732664,0.000050559356,0.00061619404,0.00071492436,0.07409599,0.08478955,0.0942657,0.7376443,0.000073829164],"about_ca_topic_score_codex":0.0008597899,"about_ca_topic_score_gemma":0.0035721788,"teacher_disagreement_score":0.004594444,"about_ca_system_score_codex":0.00044402046,"about_ca_system_score_gemma":0.00056318234,"threshold_uncertainty_score":0.015369952},"labels":[],"label_agreement":null},{"id":"W4387788901","doi":"10.1007/978-3-031-38141-6_130","title":"Energy Efficiency of Microwave Pre-conditioning of Crushed Rocks: Numerical Approach and Experimental Validation","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Comminution; Carbonatite; Breakage; Mineral processing; Environmental science; Grinding; Mining engineering; Sustainable development; Engineering; Waste management; Materials science; Metallurgy; Geology; Mechanical engineering; Geochemistry; Composite material","score_opus":0.014975524686916387,"score_gpt":0.22096980015821385,"score_spread":0.20599427547129748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387788901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8967525,0.0013850422,0.08305508,0.00011685764,0.00003148533,0.0000725778,0.00038134132,0.00037672138,0.0178284],"genre_scores_gemma":[0.98652285,0.00032498062,0.008499719,0.000008969255,0.0000039163147,0.000030244288,0.00014654858,0.000056421864,0.0044063134],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998591,0.000017851775,0.0000053515705,0.000018099277,0.00008373205,0.000015847214],"domain_scores_gemma":[0.9996606,0.00023123367,0.000016093483,0.000037466252,0.00004913324,0.0000055412706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038013197,0.00020942093,0.00038234456,0.00031407783,0.00031719776,0.0003752588,0.00058817863,0.0002813173,0.0025839538],"category_scores_gemma":[0.0006765034,0.00014313028,0.00022720642,0.0005399571,0.00039328096,0.000409417,0.00024588307,0.00029856357,0.00037239512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011944764,0.00032261366,0.0041569597,0.00057393644,0.000031184347,0.00009830017,0.00029454508,0.29149246,0.58078086,0.005311506,0.0011236358,0.11461952],"study_design_scores_gemma":[0.000023514405,0.00022661823,0.006488546,0.000018625282,0.000020235648,0.000049325474,0.00009624424,0.36472347,0.62559825,0.00080389204,0.0019371128,0.00001422732],"about_ca_topic_score_codex":0.002450425,"about_ca_topic_score_gemma":0.0028406586,"teacher_disagreement_score":0.0025839538,"about_ca_system_score_codex":0.00050631876,"about_ca_system_score_gemma":0.00027157608,"threshold_uncertainty_score":0.008644164},"labels":[],"label_agreement":null},{"id":"W4387789077","doi":"10.1007/978-3-031-38141-6_78","title":"Potential Benefits of Microwave-Assisted Comminution in Kimberlite Processing","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Comminution; Crusher; Kimberlite; Microwave; Mineral processing; Materials science; Metallurgy; High energy; Environmental science; Process engineering; Mining engineering; Geology; Engineering; Geochemistry; Engineering physics; Mantle (geology)","score_opus":0.02275407543144098,"score_gpt":0.21491516550489018,"score_spread":0.1921610900734492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387789077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5170449,0.06651166,0.05823415,0.0016717659,0.00053005957,0.00012139082,0.00036460388,0.00078006875,0.35474145],"genre_scores_gemma":[0.8628253,0.01282984,0.02335136,0.000249009,0.00011242462,0.000037451668,0.00023330918,0.00012610416,0.10023528],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99995685,0.000004733212,0.0000010690476,0.000007093713,0.00002199999,0.000008258183],"domain_scores_gemma":[0.9999596,0.000021371736,0.0000035468445,0.0000049744895,0.000007831899,0.000002587375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010454248,0.00021335899,0.00014625142,0.000249123,0.00028378487,0.00063308136,0.00043222174,0.00048669433,0.005245585],"category_scores_gemma":[0.000114351365,0.0001311498,0.00013495442,0.0004496895,0.00023598749,0.00053602393,0.00024677577,0.00030276607,0.00091749086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022219094,0.000076936376,0.00031812664,0.0005143618,0.000011227657,0.00020895174,0.000111986395,0.0016867856,0.8948658,0.012272996,0.0013106734,0.088399984],"study_design_scores_gemma":[0.00003085803,0.000398986,0.002797177,0.000066671084,0.000029102393,0.00052623276,0.0002396247,0.005323813,0.8855545,0.0037699535,0.101240985,0.00002208479],"about_ca_topic_score_codex":0.0005311169,"about_ca_topic_score_gemma":0.0027874399,"teacher_disagreement_score":0.005245585,"about_ca_system_score_codex":0.00029775314,"about_ca_system_score_gemma":0.0001258849,"threshold_uncertainty_score":0.017548263},"labels":[],"label_agreement":null},{"id":"W4387789206","doi":"10.1007/978-3-031-38141-6_115","title":"Towards Microwave-Assisted Comminution of a Volcaniclastic Kimberlite: Permittivities, Heating Behaviour, and Grindability","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Deep River Science Academy; Saskatchewan Research Council (Canada); University of Alberta; Queen's University; Hudbay Minerals (Canada)","funders":"","keywords":"Comminution; Microwave; Materials science; Grinding; Slurry; Particle-size distribution; Microwave heating; Particle size; Differential scanning calorimetry; Mineralogy; Process engineering; Environmental science; Composite material; Metallurgy; Geology; Engineering; Chemical engineering; Physics","score_opus":0.025979324590016978,"score_gpt":0.226069158516265,"score_spread":0.20008983392624802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387789206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6956278,0.053932466,0.1587793,0.0005674259,0.00032317606,0.00012338076,0.00045472803,0.0008026629,0.08938909],"genre_scores_gemma":[0.76408654,0.021514805,0.08151868,0.00020033072,0.0000919009,0.0000728591,0.00054489047,0.0003373668,0.13163258],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990606,0.0000065723143,0.0000028093723,0.00002009974,0.0000528851,0.000011458714],"domain_scores_gemma":[0.99995077,0.000019267372,0.000006317501,0.0000068638574,0.00001355032,0.000003166827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019217067,0.00026253678,0.00019198077,0.00025379486,0.00017505034,0.0005208151,0.0004271051,0.00025181528,0.0016641754],"category_scores_gemma":[0.00016844673,0.00022582097,0.00017493471,0.0003592671,0.00029480082,0.0005814917,0.00026921518,0.00055386825,0.00064428867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037489917,0.000029294517,0.0001309408,0.00016675929,0.000005714537,0.00006539367,0.00012782733,0.0004863069,0.9654069,0.003121636,0.0004320793,0.029989583],"study_design_scores_gemma":[0.0000036920467,0.000106079046,0.0010960852,0.000015940675,0.000007703608,0.00020414032,0.000051150462,0.0019883155,0.9619045,0.00077105546,0.03384291,0.000008495624],"about_ca_topic_score_codex":0.0005662792,"about_ca_topic_score_gemma":0.0025492762,"teacher_disagreement_score":0.0016641754,"about_ca_system_score_codex":0.00031385513,"about_ca_system_score_gemma":0.00014652753,"threshold_uncertainty_score":0.005567193},"labels":[],"label_agreement":null},{"id":"W4388139256","doi":"10.20944/preprints202310.2059.v1","title":"Mineral Characterization using Scanning Electron Microscopy (SEM): A Review of the Fundamentals, Advancements, and Research Directions","year":2023,"lang":"en","type":"review","venue":"Preprints.org","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Characterization (materials science); Nanotechnology; Scanning electron microscope; Artificial intelligence; Pace; Computer science; Materials science; Geology","score_opus":0.260000643776401,"score_gpt":0.47185861733715667,"score_spread":0.2118579735607557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388139256","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012083668,0.9928189,0.0029315387,0.00057415816,0.0003258924,0.000015314286,0.00011603939,0.000051571144,0.0019582976],"genre_scores_gemma":[0.004101944,0.9909375,0.0035110007,0.00024691294,0.00023693107,0.000018381455,0.00015497177,0.000013950733,0.000778443],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99919313,0.0001257116,0.000105330284,0.00013884332,0.00038901228,0.000047956066],"domain_scores_gemma":[0.9988971,0.0005218338,0.00013230596,0.00004813363,0.00036419273,0.000036469875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013923297,0.001106242,0.00122059,0.0034352671,0.00046590515,0.001299836,0.0009043244,0.0012968039,0.0019833124],"category_scores_gemma":[0.001355006,0.0005298609,0.00088108843,0.0032204676,0.0006930808,0.0025381746,0.00063806394,0.0011707358,0.0012870394],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010091775,0.00010687153,0.0018020062,0.05590253,0.00021647912,0.0005183599,0.00028026212,0.0016974239,0.040706154,0.010397764,0.038158473,0.85011274],"study_design_scores_gemma":[0.000009401627,0.0001938253,0.0025223258,0.0042420556,0.0002756487,0.0023241397,0.000284136,0.0013196465,0.017578756,0.004908183,0.9662497,0.00009213003],"about_ca_topic_score_codex":0.0015701812,"about_ca_topic_score_gemma":0.0022058946,"teacher_disagreement_score":0.0034352671,"about_ca_system_score_codex":0.00068263395,"about_ca_system_score_gemma":0.0013679125,"threshold_uncertainty_score":0.0073634386},"labels":[],"label_agreement":null},{"id":"W4388346158","doi":"10.2172/2006085","title":"Waste Compaction Model.","year":2022,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geomechanica (Canada)","funders":"National Nuclear Security Administration; Office of Environmental Management; Sandia National Laboratories; U.S. Department of Energy","keywords":"Compaction; Computer science; Geology; Geotechnical engineering; Environmental science","score_opus":0.014975172516959685,"score_gpt":0.2003128376288847,"score_spread":0.185337665111925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388346158","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11300496,0.0010923136,0.29072785,0.0014481435,0.000804317,0.0008129052,0.17281531,0.010639263,0.4086549],"genre_scores_gemma":[0.70116943,0.0008676859,0.060345363,0.00025519566,0.00008365026,0.0010263476,0.057315752,0.0018696162,0.17706697],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997955,0.000031465774,0.000012809882,0.000044188804,0.000077402074,0.00003872664],"domain_scores_gemma":[0.9995795,0.00012771068,0.00003757911,0.00006267556,0.0001602893,0.000032368163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000323002,0.00067621685,0.00074446196,0.00080648053,0.0003877407,0.0010917878,0.0021924064,0.0013375883,0.06571175],"category_scores_gemma":[0.0010810045,0.0004087396,0.000762036,0.0014059339,0.000253139,0.0010762557,0.00046091864,0.0005898794,0.011917352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040826647,0.00022923677,0.002717299,0.00040345732,0.000089103756,0.00016308643,0.000064101834,0.8832727,0.0029534083,0.04046126,0.04258991,0.026648132],"study_design_scores_gemma":[0.00009602273,0.00006399819,0.0010018656,0.00004450952,0.000050032904,0.00006012182,0.000042278196,0.9506738,0.0024622339,0.008735702,0.036743682,0.000025717327],"about_ca_topic_score_codex":0.0240785,"about_ca_topic_score_gemma":0.022888802,"teacher_disagreement_score":0.06571175,"about_ca_system_score_codex":0.00091032963,"about_ca_system_score_gemma":0.0012623685,"threshold_uncertainty_score":0.21982771},"labels":[],"label_agreement":null},{"id":"W4388439014","doi":"10.1016/j.mineng.2023.108487","title":"Stress-based approach for predicting and improving large-scale HIG mill performance","year":2023,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Mitacs","keywords":"Mill; Grinding; Sizing; Engineering; Process engineering; Mill scale; Comminution; Multivariable calculus; Mechanical engineering; Metallurgy; Materials science; Control engineering","score_opus":0.009775979887428414,"score_gpt":0.1999580838767899,"score_spread":0.19018210398936147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388439014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65893704,0.000556538,0.33276266,0.00018649778,0.00012505714,0.00007343489,0.000807758,0.002463424,0.004087542],"genre_scores_gemma":[0.9866001,0.000097148935,0.012016027,0.000021278358,0.000018233197,0.000024718143,0.0002467863,0.000039267594,0.00093641],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986064,0.000015647236,0.000008040217,0.000041019128,0.00005402239,0.00002072001],"domain_scores_gemma":[0.99971277,0.00007972707,0.000049890685,0.000028427914,0.000107080275,0.000021955577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026207534,0.0010095378,0.00062937726,0.0008043764,0.00029787835,0.0006524104,0.00068784493,0.00090632733,0.0011837295],"category_scores_gemma":[0.00058331655,0.0003225278,0.00048374207,0.0006684315,0.00020688216,0.00060256885,0.00032472363,0.00046727143,0.0004840061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018158801,0.00034620904,0.014751193,0.00009113471,0.000067681925,0.00012213374,0.0000331914,0.85576916,0.051000435,0.00029687537,0.00068084494,0.07665954],"study_design_scores_gemma":[0.0000026472094,0.000046897232,0.0028786964,0.0000016532293,0.000005939647,0.0000056437675,0.000007635645,0.9938245,0.0029972098,0.00012880054,0.00009390066,0.0000065054714],"about_ca_topic_score_codex":0.004551043,"about_ca_topic_score_gemma":0.006404343,"teacher_disagreement_score":0.004551043,"about_ca_system_score_codex":0.00041898596,"about_ca_system_score_gemma":0.00044556696,"threshold_uncertainty_score":0.009049118},"labels":[],"label_agreement":null},{"id":"W4388488575","doi":"10.1144/geochem2023-032","title":"Alteration assemblage characterization using machine learning applied to high-resolution drill-core images, hyperspectral data and geochemistry","year":2023,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Arthur B. McDonald-Canadian Astroparticle Physics Research Institute; Lundin Mining (Canada); Queen's University","funders":"Canada First Research Excellence Fund","keywords":"Feature (linguistics); Geology; Hyperspectral imaging; Pattern recognition (psychology); Pixel; Generalization; Scale (ratio); Random forest; Artificial intelligence; Computer science; Remote sensing; Mathematics; Cartography","score_opus":0.02904079312621259,"score_gpt":0.2317355564180734,"score_spread":0.2026947632918608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388488575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80993336,0.00012583875,0.18383816,0.000102158774,0.000022940536,0.000112040674,0.0012370653,0.0029821903,0.0016462475],"genre_scores_gemma":[0.93060154,0.00004286949,0.06654515,0.000016484011,0.000010719653,0.000063909116,0.0019515032,0.00004139052,0.00072642043],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99973947,0.000031722284,0.00001893126,0.0001253478,0.000045446224,0.00003907985],"domain_scores_gemma":[0.99958557,0.00013001243,0.00008113554,0.000058769987,0.00011358676,0.00003096423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004917816,0.00072555314,0.00032504142,0.0018163145,0.00027818183,0.0007211575,0.00041326132,0.0003797714,0.0007346985],"category_scores_gemma":[0.0011549691,0.0002163907,0.00067490054,0.0007852771,0.00026305218,0.000524985,0.00045456563,0.00042968418,0.00051613105],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002901712,0.00044232453,0.1861631,0.00012461592,0.00018414001,0.00028956003,0.00029323323,0.3106756,0.056315653,0.0006338363,0.0019231504,0.44266453],"study_design_scores_gemma":[0.000004326427,0.000030477448,0.026610378,0.000005895326,0.000013647903,0.000038327995,0.0000464648,0.96596545,0.006537931,0.00035025022,0.00038694512,0.000010005169],"about_ca_topic_score_codex":0.010001325,"about_ca_topic_score_gemma":0.015490292,"teacher_disagreement_score":0.010001325,"about_ca_system_score_codex":0.0005352691,"about_ca_system_score_gemma":0.00048561915,"threshold_uncertainty_score":0.019886255},"labels":[],"label_agreement":null},{"id":"W4388551154","doi":"10.2139/ssrn.4619756","title":"Multivariate Bio-Metal Analysis of Plasmas from Donors with and Without SARS-CoV-2 Using Laser Spectroscopy","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Multivariate statistics; Multivariate analysis; Spectroscopy; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Plasma; 2019-20 coronavirus outbreak; Laser; Metal; Materials science; Virology; Medicine; Physics; Internal medicine; Optics; Statistics; Mathematics; Nuclear physics; Metallurgy; Astronomy","score_opus":0.025807897246081516,"score_gpt":0.2803323082492394,"score_spread":0.25452441100315787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388551154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98996514,0.00028984135,0.008404268,0.00008558743,0.000028119497,0.000015127118,0.00037634917,0.000089841684,0.0007457327],"genre_scores_gemma":[0.9930548,0.0001876327,0.0043081692,0.00005746356,0.000017369073,0.000028112298,0.00045063425,0.000044354372,0.0018513757],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997383,0.00003616332,0.000008628539,0.000080744896,0.00008387537,0.000052274758],"domain_scores_gemma":[0.9998375,0.000047790883,0.000028915847,0.000019366507,0.00004871331,0.000017616916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032501726,0.00026665602,0.00032133114,0.0003112223,0.00038321342,0.0005469624,0.00037714466,0.00045649603,0.001984147],"category_scores_gemma":[0.00041632878,0.00012575004,0.0002847934,0.00033900724,0.00037904797,0.00027443297,0.00034781403,0.00056649494,0.00041802987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002490234,0.000017225238,0.0011503035,0.000017002394,0.000011824933,0.000027527452,0.000071479335,0.000055732384,0.99622154,0.000065105894,0.0000640193,0.0020491069],"study_design_scores_gemma":[0.000027943866,0.00024457465,0.022894684,0.0000059938084,0.000051249463,0.00027245953,0.00033986935,0.0031188491,0.9709899,0.00041227942,0.0016156292,0.000026542495],"about_ca_topic_score_codex":0.000911329,"about_ca_topic_score_gemma":0.00093248236,"teacher_disagreement_score":0.001984147,"about_ca_system_score_codex":0.00018861481,"about_ca_system_score_gemma":0.00022482501,"threshold_uncertainty_score":0.006637633},"labels":[],"label_agreement":null},{"id":"W4388898364","doi":"10.3390/app132312600","title":"Mineral Characterization Using Scanning Electron Microscopy (SEM): A Review of the Fundamentals, Advancements, and Research Directions","year":2023,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":153,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Characterization (materials science); Nanotechnology; Scanning electron microscope; Artificial intelligence; Computer science; Materials science","score_opus":0.12636609813688998,"score_gpt":0.43055680762959747,"score_spread":0.3041907094927075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388898364","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012035726,0.99275875,0.002891835,0.0005850398,0.00032489272,0.000016132628,0.000121415695,0.000053860316,0.0020444556],"genre_scores_gemma":[0.0038079254,0.9911137,0.0036033548,0.00024844173,0.00023163435,0.000018469835,0.00015980934,0.000013853637,0.00080290233],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991823,0.00012781112,0.000105399675,0.00013577307,0.00040084313,0.000047932914],"domain_scores_gemma":[0.99888474,0.000522947,0.00013568113,0.000045522054,0.00037370165,0.000037527538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013921121,0.0010886929,0.001196109,0.0034925763,0.00046402655,0.0013163377,0.000915681,0.0012904223,0.0020615729],"category_scores_gemma":[0.0013371132,0.00052808283,0.00085602014,0.0032667662,0.0006741179,0.0025914058,0.0006353605,0.0011933004,0.0013683126],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095533986,0.00010531443,0.0017729873,0.05450121,0.00020224371,0.00052769796,0.0002785374,0.001680845,0.04234992,0.009724892,0.04040464,0.8483562],"study_design_scores_gemma":[0.000008759162,0.00018845391,0.0024289393,0.0042273174,0.00024032927,0.0022484655,0.00026749755,0.0012084099,0.016773343,0.004549697,0.9677714,0.000087302695],"about_ca_topic_score_codex":0.0015865571,"about_ca_topic_score_gemma":0.0022991933,"teacher_disagreement_score":0.0034925763,"about_ca_system_score_codex":0.00068779837,"about_ca_system_score_gemma":0.0013603956,"threshold_uncertainty_score":0.0073622465},"labels":[],"label_agreement":null},{"id":"W4388996270","doi":"10.1016/j.mineng.2023.108508","title":"Novel technique for the preparation and analysis of powder-based polished sections by automated optical mineralogy: Part 2 – Use of deep learning approach for transparent mineral detection","year":2023,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agnico Eagle (Canada); Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Optical microscope; Microscopy; Materials science; Mineralogy; Mineral; Clay minerals; Particle (ecology); Scanning electron microscope; Optics; Geology; Composite material; Metallurgy","score_opus":0.029506941905629056,"score_gpt":0.2603846829677545,"score_spread":0.23087774106212547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388996270","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058293853,0.0006190467,0.93568003,0.00017971573,0.000105184365,0.00014322464,0.0005282395,0.002378136,0.0020725238],"genre_scores_gemma":[0.14176613,0.0005400362,0.85287315,0.0001107732,0.000036853282,0.00014794225,0.00067884516,0.00022951406,0.0036166788],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99964106,0.000014594534,0.00001815959,0.00010637316,0.00019076906,0.000029024755],"domain_scores_gemma":[0.99953735,0.000079932855,0.000080406724,0.00010831347,0.00016617165,0.000027804972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039429925,0.00066696794,0.0004796144,0.0012556382,0.00038794256,0.0006059241,0.00096823886,0.00085919816,0.002173007],"category_scores_gemma":[0.0004916331,0.0006012978,0.0004181827,0.0005816036,0.00045110544,0.00094434636,0.00092375785,0.001212022,0.0010139782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027807608,0.000038842547,0.0008078207,0.00010724035,0.000018117134,0.000051595507,0.000032346725,0.0008464996,0.9650966,0.00065148546,0.0005291243,0.031792544],"study_design_scores_gemma":[0.000016211428,0.000120490644,0.0048668724,0.000015336647,0.00003607219,0.00059860066,0.00003660591,0.06588944,0.91625315,0.0010991335,0.011028563,0.000039683044],"about_ca_topic_score_codex":0.00087557785,"about_ca_topic_score_gemma":0.0030658278,"teacher_disagreement_score":0.002173007,"about_ca_system_score_codex":0.0003518655,"about_ca_system_score_gemma":0.0007752828,"threshold_uncertainty_score":0.007269442},"labels":[],"label_agreement":null},{"id":"W4389037595","doi":"10.1016/j.mineng.2023.108509","title":"Particle-based characterization and process modeling to comprehend the behavior of iron ores in drum-type wet low-intensity magnetic separation","year":2023,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Mitacs; Université Laval","keywords":"Beneficiation; Drum; Iron ore; Characterization (materials science); Separator (oil production); Magnetic separation; Process engineering; Process (computing); Rule of thumb; Particle (ecology); Materials science; Engineering; Mechanical engineering; Computer science; Metallurgy; Nanotechnology; Geology; Physics; Algorithm","score_opus":0.017660375845897632,"score_gpt":0.24929634046015092,"score_spread":0.2316359646142533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389037595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51704013,0.00022169083,0.47527027,0.00013394176,0.000047922746,0.00011393397,0.0002791223,0.00097604643,0.0059169196],"genre_scores_gemma":[0.96843284,0.00011507421,0.029581957,0.000020309442,0.000006227531,0.00003800344,0.00021306382,0.000051350242,0.0015410539],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999099,0.000010295484,0.0000051838406,0.000017006301,0.00004470589,0.000012991076],"domain_scores_gemma":[0.9998429,0.000060749742,0.000017079927,0.00002189614,0.000049659866,0.000007747771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002575898,0.00032700328,0.0003443028,0.0002198146,0.00026161326,0.00044185945,0.00047386292,0.0005486565,0.0007803195],"category_scores_gemma":[0.00043675408,0.00020024397,0.00051917223,0.00019960119,0.00014085838,0.0005036754,0.00018369505,0.00038840107,0.00026493685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018076283,0.00037148813,0.007063699,0.00023633949,0.00008003322,0.00023285676,0.00012688438,0.7006474,0.2501727,0.00402534,0.0008144088,0.03604799],"study_design_scores_gemma":[0.0000034740929,0.000025560923,0.00061191316,9.103529e-7,0.00000530689,0.000012201664,0.0000065506356,0.9851811,0.013697764,0.00021027918,0.0002420617,0.0000027892315],"about_ca_topic_score_codex":0.0063176206,"about_ca_topic_score_gemma":0.006361744,"teacher_disagreement_score":0.0063176206,"about_ca_system_score_codex":0.00039809788,"about_ca_system_score_gemma":0.00057684834,"threshold_uncertainty_score":0.012561679},"labels":[],"label_agreement":null},{"id":"W4389083529","doi":"10.1007/s42461-023-00881-4","title":"Spatial Entropy for Quantifying Ore Loss and Dilution in Open-Pit Mines","year":2023,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dilution; Entropy (arrow of time); Environmental science; Rock blasting; Mining engineering; Profit (economics); Environmental engineering; Engineering","score_opus":0.10407582703399942,"score_gpt":0.31010365932024175,"score_spread":0.20602783228624233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389083529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9360797,0.00028587104,0.0605066,0.000058154987,0.00001623078,0.000016670234,0.00058464863,0.00018455234,0.0022676082],"genre_scores_gemma":[0.9973104,0.00003548302,0.0023370425,0.0000033100619,0.000008852054,0.000004038921,0.00014063227,0.0000061942796,0.00015419649],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997273,0.000042413543,0.000021854203,0.000050127728,0.00010972757,0.000048541187],"domain_scores_gemma":[0.9992931,0.00037683707,0.000116197814,0.000064431515,0.00009822684,0.000051209237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004923384,0.00031774014,0.0004097897,0.0021664267,0.00031791648,0.00076124497,0.00043959395,0.0004023575,0.0005260043],"category_scores_gemma":[0.0017126716,0.00017917501,0.00032954392,0.0013541818,0.00060836173,0.0010777757,0.000752271,0.00020972645,0.00011237643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072389137,0.00015472432,0.15086174,0.000107377586,0.00016025204,0.00030014923,0.00012387973,0.7639,0.02677792,0.0064753755,0.0004286361,0.04998613],"study_design_scores_gemma":[0.000006588071,0.000031863983,0.048437882,0.0000056238605,0.000015136653,0.00008222411,0.000058663536,0.9434436,0.0047201267,0.0029843685,0.00019441085,0.000019426065],"about_ca_topic_score_codex":0.0032431413,"about_ca_topic_score_gemma":0.0031821325,"teacher_disagreement_score":0.0032431413,"about_ca_system_score_codex":0.000590943,"about_ca_system_score_gemma":0.0003107047,"threshold_uncertainty_score":0.006448567},"labels":[],"label_agreement":null},{"id":"W4389099555","doi":"10.1007/s42461-023-00880-5","title":"Replacement of Wet Ball Milling with High-Pressure Grinding Ahead of Mineral Separation","year":2023,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Resources Canada","keywords":"Comminution; Grinding; Mineral processing; Ball mill; Tonnage; Pulverizer; Environmental science; Process engineering; Metallurgy; Materials science; Engineering; Geology","score_opus":0.031041981533304914,"score_gpt":0.2564166966731399,"score_spread":0.22537471513983495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389099555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.824092,0.0025770953,0.1514113,0.00029014368,0.00079155865,0.00022599925,0.00043000586,0.0052968427,0.014885108],"genre_scores_gemma":[0.9030202,0.0004195276,0.08793976,0.00009625919,0.000050373736,0.000040093364,0.00037073213,0.00032550495,0.0077374247],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999114,0.000049174654,0.000057300895,0.00017698176,0.0004964362,0.00010614252],"domain_scores_gemma":[0.999275,0.00012868416,0.00009759536,0.00021769335,0.0002165487,0.00006444965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005227415,0.00055771763,0.0007803161,0.0008417981,0.0005100352,0.00088387204,0.0009361615,0.00054242276,0.0039498243],"category_scores_gemma":[0.0007400756,0.0004076928,0.00059405825,0.0008757159,0.00036774256,0.0008769727,0.0004852763,0.0008068898,0.0021491272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073661486,0.00024048655,0.0015988945,0.00032216558,0.000039645427,0.00017552206,0.00008111683,0.002387608,0.92371124,0.0006287948,0.0008780097,0.06919994],"study_design_scores_gemma":[0.00007510822,0.0009948917,0.012338069,0.000015639385,0.000076161894,0.00073927664,0.00007000155,0.013897448,0.9572305,0.0002997243,0.0142186675,0.000044638844],"about_ca_topic_score_codex":0.0016602806,"about_ca_topic_score_gemma":0.0047330526,"teacher_disagreement_score":0.0039498243,"about_ca_system_score_codex":0.00031900645,"about_ca_system_score_gemma":0.00097185845,"threshold_uncertainty_score":0.013213456},"labels":[],"label_agreement":null},{"id":"W4389127824","doi":"10.5151/2594-357x-15687","title":"CONCENTRAÇÃO DOS FINOS DE MINÉRIO DE FERRO DE SERRA AZUL","year":2009,"lang":"pt","type":"article","venue":"ABM Proceedings","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Iron Ore Company (Canada)","funders":"","keywords":"Physics; Mineralogy; Nuclear chemistry; Chemistry; Materials science; Analytical Chemistry (journal); Chromatography","score_opus":0.013690125667594954,"score_gpt":0.24791352085406576,"score_spread":0.2342233951864708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389127824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872679,0.00210969,0.0028935033,0.000121105004,0.000044306165,0.000034987177,0.0007983366,0.00015875016,0.0065714396],"genre_scores_gemma":[0.9828712,0.0017417519,0.003644678,0.000075297045,0.000014808228,0.000040247487,0.0005424547,0.000044565462,0.011025132],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997712,0.000016654094,0.000008643319,0.000048761758,0.00011616142,0.000038457623],"domain_scores_gemma":[0.99979883,0.000068542824,0.00003359696,0.000011760755,0.00007502012,0.000012351535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024497445,0.00026244417,0.00021102668,0.0005377626,0.0002844439,0.0004456734,0.00029101662,0.00039990156,0.0047742683],"category_scores_gemma":[0.0003401528,0.00018135807,0.00025417894,0.00042167318,0.00015093108,0.0002536674,0.00014229598,0.00029767083,0.0007607837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017180928,0.000025584754,0.0019273179,0.00022353216,0.000017459155,0.00007310542,0.00011117963,0.00040012016,0.982258,0.00011108086,0.00033817661,0.014342745],"study_design_scores_gemma":[0.0000064254064,0.00041234796,0.009393128,0.000023161958,0.000024020628,0.00012628699,0.00021004629,0.0012488251,0.9801993,0.000060728944,0.008283558,0.000012168001],"about_ca_topic_score_codex":0.0020899614,"about_ca_topic_score_gemma":0.004189847,"teacher_disagreement_score":0.0047742683,"about_ca_system_score_codex":0.00030046506,"about_ca_system_score_gemma":0.00017504986,"threshold_uncertainty_score":0.015971541},"labels":[],"label_agreement":null},{"id":"W4389561800","doi":"10.7185/gold2023.18246","title":"Working around microanalytical data gaps to make multiscale predictions- exploring the Bon Accord nickel mineral species","year":2023,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Nickel; Mineral; Computer science; Materials science; Environmental science; Metallurgy","score_opus":0.13956093322673768,"score_gpt":0.28272708073026115,"score_spread":0.14316614750352347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389561800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52928674,0.0048970277,0.42208475,0.02139503,0.0006744753,0.00013694339,0.0038455192,0.0038449764,0.0138344765],"genre_scores_gemma":[0.92310095,0.0012287089,0.07253653,0.0007830822,0.00011778242,0.00006414422,0.0012146856,0.00031700634,0.0006371789],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99910814,0.00021406847,0.00005401824,0.00026677886,0.000266442,0.00009053663],"domain_scores_gemma":[0.99347585,0.0039037042,0.00052365847,0.0011647895,0.0006961418,0.00023584887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041892524,0.001004302,0.0012784306,0.0012911188,0.0007414257,0.0028101706,0.0022533133,0.0018500985,0.0025300859],"category_scores_gemma":[0.013191985,0.00075244886,0.0009874367,0.0009172051,0.0015218853,0.010098934,0.0022465654,0.0025233163,0.00052172976],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006987904,0.00087448896,0.06927967,0.0022749265,0.0008506505,0.00091364316,0.0012375911,0.5899884,0.056313768,0.11468385,0.013842049,0.14904213],"study_design_scores_gemma":[0.000017507482,0.00005663964,0.0034321279,0.00010122987,0.000055498283,0.00006206089,0.00045611954,0.83651006,0.010073933,0.14408246,0.0051131705,0.000039176306],"about_ca_topic_score_codex":0.0050957287,"about_ca_topic_score_gemma":0.0054244394,"teacher_disagreement_score":0.0050957287,"about_ca_system_score_codex":0.0010507811,"about_ca_system_score_gemma":0.0017658133,"threshold_uncertainty_score":0.022155166},"labels":[],"label_agreement":null},{"id":"W4389941780","doi":"10.1007/s11095-023-03642-6","title":"Application of PAT Probes in Aluminum Phosphate Adjuvant Manufacturing","year":2023,"lang":"en","type":"article","venue":"Pharmaceutical Research","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sanofi (Canada)","funders":"","keywords":"Suspension (topology); Particle size; Adjuvant; Mixing (physics); Materials science; Critical quality attributes; Particle (ecology); Continuous flow; Process engineering; Chemical engineering; Chemistry; Mathematics; Medicine; Physics; Engineering","score_opus":0.12094030345623007,"score_gpt":0.42759474350111093,"score_spread":0.30665444004488085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389941780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.723219,0.0084435325,0.24311993,0.000920486,0.00028675172,0.00027952326,0.00024180215,0.0009815526,0.022507466],"genre_scores_gemma":[0.9095503,0.0030555443,0.076252215,0.00027335456,0.000041458377,0.000102462815,0.00010859127,0.000062573185,0.010553467],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99973935,0.000050230457,0.000010579644,0.000055188837,0.00010116067,0.000043396318],"domain_scores_gemma":[0.99966514,0.00013241514,0.000084976906,0.00003705649,0.000057328783,0.000023086883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044680788,0.0004328792,0.00019235951,0.0003851804,0.00023516921,0.00056061347,0.00028301263,0.00067528174,0.0016992828],"category_scores_gemma":[0.0005473347,0.0003158341,0.0002869148,0.0003054619,0.00039005242,0.00065922335,0.0004863071,0.0006179679,0.0007192889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004383705,0.000011737721,0.00009318537,0.000057201403,0.000002337215,0.00006323803,0.000024745295,0.00017313636,0.99398744,0.00063718675,0.00005567283,0.0048501967],"study_design_scores_gemma":[0.0000030960844,0.0001071928,0.00020896162,0.0000041270637,0.0000036990384,0.000116923875,0.000014430441,0.00069707533,0.995808,0.00008553444,0.0029478106,0.000003104576],"about_ca_topic_score_codex":0.00025500593,"about_ca_topic_score_gemma":0.0004533099,"teacher_disagreement_score":0.0016992828,"about_ca_system_score_codex":0.00035885122,"about_ca_system_score_gemma":0.00026457614,"threshold_uncertainty_score":0.005684614},"labels":[],"label_agreement":null},{"id":"W4390430592","doi":"10.18280/ts.400624","title":"Enhanced Laboratory Safety Education through Interactive Applications of Machine Learning-Boosted Image Processing Technologies","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Image processing; Multimedia; Human–computer interaction; Computer graphics (images); Artificial intelligence; Image (mathematics)","score_opus":0.007892792806166787,"score_gpt":0.25369107183262113,"score_spread":0.24579827902645435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390430592","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052042786,0.0004355613,0.92389053,0.00035375342,0.00013843416,0.00013977881,0.00016824227,0.008459446,0.014371434],"genre_scores_gemma":[0.5508944,0.0006406641,0.43158448,0.00028764468,0.00016221171,0.00020577948,0.00034507585,0.0005960514,0.015283813],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998097,0.0000394653,0.000005556428,0.000040096882,0.000080243,0.000024975127],"domain_scores_gemma":[0.99950206,0.00030379725,0.00002920145,0.000038128393,0.000083428,0.000043431683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028531003,0.0005547931,0.0002952793,0.00045919776,0.00012091142,0.00065644825,0.00071118696,0.00058231945,0.015568177],"category_scores_gemma":[0.0010223795,0.00014657811,0.0003509801,0.00017841006,0.00012762658,0.0005471769,0.00088157086,0.0004972173,0.0022067942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060411624,0.0010090516,0.0013689573,0.00041258108,0.000050165905,0.00030025005,0.00027117672,0.042924814,0.1695388,0.0031035745,0.010544162,0.7698723],"study_design_scores_gemma":[0.00018579848,0.00087935105,0.0088177845,0.00014328668,0.00011716532,0.00077646767,0.00020201845,0.76978487,0.15880583,0.011951095,0.04823842,0.00009796392],"about_ca_topic_score_codex":0.00045030873,"about_ca_topic_score_gemma":0.0007308111,"teacher_disagreement_score":0.015568177,"about_ca_system_score_codex":0.0001783842,"about_ca_system_score_gemma":0.00027145544,"threshold_uncertainty_score":0.05208069},"labels":[],"label_agreement":null},{"id":"W4390467857","doi":"10.3390/min14010051","title":"From Rocks to Pixels: A Protocol for Reproducible Mineral Imaging and its Applications in Machine Learning","year":2023,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Protocol (science); Computer science; Reproducibility; Artificial intelligence; Calibration; Machine learning; Pixel; Identification (biology); Statistics; Mathematics; Medicine","score_opus":0.03202539502453396,"score_gpt":0.3124419374993075,"score_spread":0.28041654247477354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390467857","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03462531,0.0012495366,0.9344067,0.00062611065,0.0005291845,0.005902593,0.0039603654,0.012028739,0.006671467],"genre_scores_gemma":[0.030363921,0.0007930195,0.9439177,0.00036491576,0.00008009381,0.011307842,0.0036046924,0.0026299506,0.0069378074],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978974,0.00035872209,0.000351093,0.00053436647,0.0006635714,0.00019485572],"domain_scores_gemma":[0.99713814,0.0005822628,0.00023107996,0.0011028078,0.00075211993,0.00019362218],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0035202024,0.0014098946,0.0008624028,0.0019082896,0.0018657501,0.00097247167,0.0017260909,0.0014929204,0.013570936],"category_scores_gemma":[0.003613044,0.001413241,0.0008537771,0.0014765132,0.0014381825,0.0011725946,0.0022521387,0.0027466267,0.007682975],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045927084,0.00021344029,0.00096701656,0.0006180949,0.000034921846,0.00048618414,0.0004284437,0.0010227192,0.91401464,0.0038204328,0.0102553405,0.06767951],"study_design_scores_gemma":[0.00014564092,0.0007880605,0.006307145,0.00019188772,0.00008159655,0.0017851626,0.00020085972,0.01119471,0.7615667,0.005704229,0.2118223,0.00021165906],"about_ca_topic_score_codex":0.00092038244,"about_ca_topic_score_gemma":0.002765792,"teacher_disagreement_score":0.9964798,"about_ca_system_score_codex":0.00044347584,"about_ca_system_score_gemma":0.0018979016,"threshold_uncertainty_score":0.04539931},"labels":[],"label_agreement":null},{"id":"W4390942498","doi":"10.1080/25726668.2022.2046684","title":"Monitoring rock movement and—controlling ore loss and dilution associated with blasting at Geita and North Mara Gold mines, Tanzania","year":2022,"lang":"en","type":"article","venue":"Mining Technology Transactions of the Institutions of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mining engineering; Geology; Gold ore; Borehole; Rock blasting; Movement (music); Block (permutation group theory); Shot (pellet); Geotechnical engineering; Metallurgy; Geochemistry","score_opus":0.014494772749310388,"score_gpt":0.1996078732198197,"score_spread":0.18511310047050933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390942498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99952507,0.000011426788,0.00018335452,0.0000033118677,3.2173904e-7,0.000009352895,0.000035319747,0.000003978268,0.00022780507],"genre_scores_gemma":[0.999099,0.00001421078,0.00055682386,0.0000019097754,3.6364918e-7,0.0000096837775,0.000040662548,0.0000011758021,0.0002761261],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998267,0.000025937026,0.000009221886,0.00003948845,0.00006454091,0.000034078887],"domain_scores_gemma":[0.99975306,0.000045513636,0.000101698824,0.000019177303,0.00005588458,0.000024670639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018456762,0.00020768438,0.00016245624,0.0005527212,0.00034725227,0.0002205155,0.0002346608,0.00019746761,0.0004813578],"category_scores_gemma":[0.0004817324,0.00015844015,0.000099487435,0.00041746278,0.00030611962,0.0001529886,0.00033721776,0.00013827531,0.00011421177],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005030166,0.00008568474,0.87362075,0.00008656605,0.000023313203,0.00083451223,0.0016363142,0.0018125824,0.099763684,0.00008709934,0.00012398949,0.021422435],"study_design_scores_gemma":[0.0000041623057,0.00016487025,0.99529356,0.0000048611178,0.0000053847807,0.000086030625,0.00041119664,0.00088355935,0.0029785708,0.000012449743,0.00015253999,0.000002715261],"about_ca_topic_score_codex":0.017285598,"about_ca_topic_score_gemma":0.05310063,"teacher_disagreement_score":0.017285598,"about_ca_system_score_codex":0.00035968915,"about_ca_system_score_gemma":0.00039175918,"threshold_uncertainty_score":0.034369946},"labels":[],"label_agreement":null},{"id":"W4391115749","doi":"10.1016/j.powtec.2024.119443","title":"Narrowing particle size distributions to enhance powder coating performance by improved classifying","year":2024,"lang":"en","type":"article","venue":"Powder Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Foshan Science and Technology Bureau; China Scholarship Council","keywords":"Gloss (optics); Coating; Materials science; Grinding; Particle size; Powder coating; Particle-size distribution; Ball mill; Composite material; Powder mixture; Chemical engineering; Sintering","score_opus":0.007142984782632543,"score_gpt":0.24820135613512043,"score_spread":0.2410583713524879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391115749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69177693,0.0016278522,0.29430243,0.00046901059,0.00025918262,0.00017637332,0.00026631422,0.0032124866,0.007909431],"genre_scores_gemma":[0.8872912,0.00062607974,0.10710561,0.00025500264,0.000068507085,0.00008744008,0.0002268724,0.00051833666,0.0038209183],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945015,0.00003109503,0.000056077963,0.00015426081,0.0002447568,0.00006359716],"domain_scores_gemma":[0.9991503,0.0002475492,0.00017478463,0.000102444916,0.00027814767,0.000046881145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000684901,0.0005670265,0.0004804204,0.00084113417,0.0003786545,0.0011108615,0.0006265876,0.0005594671,0.0018620896],"category_scores_gemma":[0.0013129828,0.0004461907,0.00032260467,0.00049336464,0.0003912732,0.0010509313,0.00047859643,0.0008691947,0.0008881565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004836477,0.00003847494,0.00030412115,0.000036855294,0.000005712793,0.000013198294,0.000018813094,0.0004149629,0.9902906,0.0003869488,0.00016296172,0.008279009],"study_design_scores_gemma":[0.000009706274,0.000059316884,0.00066873507,0.0000018209012,0.000008828093,0.00003047309,0.000007470316,0.005826206,0.9921308,0.000061343315,0.0011891916,0.0000060558114],"about_ca_topic_score_codex":0.0009937542,"about_ca_topic_score_gemma":0.0026790446,"teacher_disagreement_score":0.0018620896,"about_ca_system_score_codex":0.00064039056,"about_ca_system_score_gemma":0.00044534935,"threshold_uncertainty_score":0.0062292814},"labels":[],"label_agreement":null},{"id":"W4391252126","doi":"10.1016/j.compchemeng.2024.108615","title":"Improving profitability of continuous processes facing raw material variability through data-driven SMB-PLS model-based adaptive control","year":2024,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Rio Tinto; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Profitability index; Process (computing); Block (permutation group theory); Raw material; Computer science; Parametric statistics; Process engineering; Genetic algorithm; Mathematical optimization; Engineering; Mathematics; Statistics","score_opus":0.013926508087659679,"score_gpt":0.21767182248905878,"score_spread":0.2037453144013991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391252126","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34939045,0.00072216586,0.64310914,0.0005730738,0.00010067735,0.00006740444,0.0001703945,0.0013874666,0.004479164],"genre_scores_gemma":[0.9837885,0.00006945315,0.015521846,0.00002629606,0.000010021672,0.000029972045,0.000063509186,0.00003068486,0.00045977038],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995098,0.000093880015,0.000018729646,0.00012237807,0.00019921707,0.000055990567],"domain_scores_gemma":[0.9992576,0.00039256268,0.00009573313,0.00004215881,0.00018669371,0.000025221418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088626624,0.00071676157,0.0007525994,0.00038803022,0.00035702545,0.0014159234,0.0006876493,0.0006478723,0.0008297694],"category_scores_gemma":[0.002086702,0.00028557592,0.00040570466,0.00048354844,0.00033818636,0.0008655974,0.0006827,0.0010226989,0.00030744603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006844069,0.00041869644,0.0031766272,0.00018824187,0.000058139918,0.000079057005,0.000051588402,0.79602796,0.05168521,0.0018255044,0.0009937005,0.14481083],"study_design_scores_gemma":[0.000007721521,0.000047845926,0.00050694135,0.000002116946,0.0000051771217,0.000004253766,0.0000064513815,0.99454236,0.004346157,0.00038137642,0.00014491176,0.000004606156],"about_ca_topic_score_codex":0.0037937004,"about_ca_topic_score_gemma":0.0034082767,"teacher_disagreement_score":0.0037937004,"about_ca_system_score_codex":0.00068725686,"about_ca_system_score_gemma":0.0010749532,"threshold_uncertainty_score":0.007543206},"labels":[],"label_agreement":null},{"id":"W4391270913","doi":"10.1016/j.mineng.2024.108582","title":"Technological and economic considerations for the application of combined microwave assisted comminution and multi-sensor ore sorting","year":2024,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Hudbay Minerals (Canada)","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Comminution; Sorting; Process engineering; Energy consumption; Process (computing); Engineering; Computer science; Materials science; Electrical engineering; Metallurgy","score_opus":0.02706555077812711,"score_gpt":0.2464359424325416,"score_spread":0.2193703916544145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391270913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5343401,0.014290467,0.39821512,0.009709872,0.00077280484,0.0005340247,0.0003630931,0.0006889294,0.041085515],"genre_scores_gemma":[0.83803874,0.0021770562,0.1474608,0.00031397672,0.00014612947,0.00012400736,0.00016132463,0.000038091333,0.0115398355],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994281,0.00011415904,0.000023447281,0.0000666216,0.00031610086,0.000051485993],"domain_scores_gemma":[0.9993274,0.00029633974,0.000085902015,0.000053610143,0.00020322605,0.000033569428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011207046,0.00042029505,0.00042185548,0.0005872398,0.0005259246,0.0016367526,0.0008207764,0.0016883943,0.004142707],"category_scores_gemma":[0.0014204491,0.00034020012,0.0004286252,0.00052491325,0.00044521308,0.0013499479,0.0005413443,0.0006492043,0.0011164135],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008341277,0.0002727295,0.00225937,0.00050364103,0.000046672976,0.00030195256,0.000040020775,0.008571602,0.90283924,0.008461628,0.0011634582,0.07470555],"study_design_scores_gemma":[0.00009602423,0.0017342574,0.0070905625,0.000068100344,0.00012718645,0.0014351123,0.00030404786,0.0629113,0.8912286,0.004753175,0.030161258,0.000090434165],"about_ca_topic_score_codex":0.0007572078,"about_ca_topic_score_gemma":0.0035796291,"teacher_disagreement_score":0.004142707,"about_ca_system_score_codex":0.0006401312,"about_ca_system_score_gemma":0.0007759694,"threshold_uncertainty_score":0.013858736},"labels":[],"label_agreement":null},{"id":"W4391918339","doi":"10.2139/ssrn.4730515","title":"Pit-Lake Remediation by Chemically Activated Chlorocardium Rodiei: Simultaneous Metal Ion Removal from Acidic Waters","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"","keywords":"Environmental remediation; Environmental chemistry; Metal; Environmental science; Chemistry; Metal ions in aqueous solution; Contamination; Ecology; Organic chemistry; Biology","score_opus":0.004942736238046825,"score_gpt":0.20417705288996174,"score_spread":0.1992343166519149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391918339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962404,0.0003952313,0.0015742206,0.00004529066,0.00001608456,0.000021343394,0.00013281462,0.00005223847,0.0015223625],"genre_scores_gemma":[0.99559903,0.00022721494,0.0014727517,0.000014006832,0.0000039667934,0.0000070102956,0.00010091548,0.000011450953,0.0025636987],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999168,0.000007896082,0.0000044266485,0.000019171062,0.000022842209,0.00002882007],"domain_scores_gemma":[0.9999707,0.0000037092798,0.0000058143733,0.0000034851273,0.000009042638,0.000007183183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009043144,0.00026040233,0.00031595127,0.00016066327,0.00015757474,0.0002606515,0.00027127384,0.00026572743,0.0009814823],"category_scores_gemma":[0.00011166064,0.000100876634,0.00022544408,0.00017388935,0.00012469164,0.0001336608,0.00030034332,0.00024375705,0.0002805403],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015737527,0.0000145228805,0.0001798417,0.000050102622,0.0000041704807,0.00002999412,0.000016962573,0.00013347073,0.99677104,0.000019359417,0.00003732024,0.0025858644],"study_design_scores_gemma":[0.000008918823,0.000178577,0.0014800467,0.000002422422,0.000015715577,0.000029012996,0.000023891378,0.000607575,0.9967529,0.000013137771,0.00088473334,0.0000030038416],"about_ca_topic_score_codex":0.0038278531,"about_ca_topic_score_gemma":0.006749607,"teacher_disagreement_score":0.0038278531,"about_ca_system_score_codex":0.0002085613,"about_ca_system_score_gemma":0.00027126994,"threshold_uncertainty_score":0.007611096},"labels":[],"label_agreement":null},{"id":"W4392098477","doi":"10.1007/s42461-024-00944-0","title":"Assessing Dilution, Ore Loss, and Profit Differences from Various Hand-Drawn Dig Limits Compared to Optimal Ore-Waste Delineations in Deposits of Variable Heterogeneity","year":2024,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Dig; Variable (mathematics); Profit (economics); Iron ore; Econometrics; Economics; Computer science; Mathematics; Microeconomics; Archaeology; Geography","score_opus":0.05235877502147098,"score_gpt":0.2770361505123481,"score_spread":0.2246773754908771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392098477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984548,0.000022270377,0.0011542331,0.0000055405544,9.258259e-7,0.000004964115,0.000045456527,0.000009099407,0.0003026275],"genre_scores_gemma":[0.99881953,0.000008357342,0.0009062147,0.0000022851975,4.39259e-7,0.0000029442417,0.00005423572,0.0000023000825,0.0002037263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959654,0.0001038521,0.000030360916,0.000089149784,0.0001196043,0.00006047636],"domain_scores_gemma":[0.9974884,0.0018286727,0.00025830566,0.00011217564,0.000228734,0.000083747604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011602875,0.00024023435,0.00032252877,0.0004860918,0.00015272405,0.000570188,0.00042939652,0.00037480562,0.0008876197],"category_scores_gemma":[0.0036509098,0.00013997308,0.00025822298,0.00045014502,0.00035420904,0.0005057903,0.0003600353,0.00020236819,0.0001065679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.025745073,0.0010455528,0.29698828,0.00023247304,0.00034075128,0.0006412686,0.00028755554,0.48567924,0.109105386,0.0018300877,0.00037942347,0.077724904],"study_design_scores_gemma":[0.00025034745,0.005109831,0.36972132,0.000020113555,0.0003072635,0.00029934006,0.0006412031,0.5117847,0.10922653,0.0019710197,0.0005931782,0.00007517274],"about_ca_topic_score_codex":0.004897626,"about_ca_topic_score_gemma":0.00838559,"teacher_disagreement_score":0.004897626,"about_ca_system_score_codex":0.0006628206,"about_ca_system_score_gemma":0.00040402522,"threshold_uncertainty_score":0.009738207},"labels":[],"label_agreement":null},{"id":"W4392349102","doi":"10.18280/ts.410125","title":"Predicting and Analyzing Rock Mechanical Properties Using Image Processing Techniques","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Image (mathematics); Computer science; Geology; Image processing; Artificial intelligence; Pattern recognition (psychology); Computer vision","score_opus":0.02246427189194043,"score_gpt":0.2424235191990853,"score_spread":0.2199592473071449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392349102","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09657472,0.00031200168,0.90087223,0.00009273775,0.00002205611,0.000044270197,0.00008993226,0.00079469464,0.0011973508],"genre_scores_gemma":[0.59088975,0.00074273476,0.40686333,0.000051643896,0.000049250008,0.000057242647,0.00021705392,0.00006643811,0.001062668],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997993,0.000021437749,0.000011539922,0.000049536524,0.00009876367,0.0000193946],"domain_scores_gemma":[0.9996704,0.00013041527,0.000076027914,0.000035710174,0.000074535856,0.00001298535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030214697,0.0005544265,0.00039787366,0.0019833029,0.00020181207,0.0005962336,0.00044567444,0.00061549916,0.00062893564],"category_scores_gemma":[0.0007785473,0.00021710368,0.00041331613,0.0011743746,0.00040007313,0.00096124125,0.00023853077,0.00038097653,0.0003063152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117812604,0.00016600383,0.010117884,0.00028968454,0.0000833532,0.00026506704,0.00015898683,0.111794524,0.40128383,0.002578173,0.0009536871,0.47219098],"study_design_scores_gemma":[0.000007748358,0.00009169617,0.011600458,0.000014913902,0.000051244668,0.00018599536,0.00008884312,0.91107297,0.07371564,0.0018696772,0.0012731816,0.000027555408],"about_ca_topic_score_codex":0.0016366404,"about_ca_topic_score_gemma":0.0025128543,"teacher_disagreement_score":0.0019833029,"about_ca_system_score_codex":0.00019359415,"about_ca_system_score_gemma":0.0003630887,"threshold_uncertainty_score":0.0032541752},"labels":[],"label_agreement":null},{"id":"W4392379387","doi":"10.3390/geosciences14030067","title":"Algorithmic Geology: Tackling Methodological Challenges in Applying Machine Learning to Rock Engineering","year":2024,"lang":"en","type":"article","venue":"Geosciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Context (archaeology); Rock mass classification; Reliability (semiconductor); Computer science; Quality (philosophy); Machine learning; Artificial intelligence; Data mining; Risk analysis (engineering); Industrial engineering; Engineering; Civil engineering; Geology","score_opus":0.07488852567036523,"score_gpt":0.2999521975211235,"score_spread":0.22506367185075826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392379387","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021885822,0.0021113418,0.9861648,0.0073079886,0.00015342222,0.000066449975,0.000051277315,0.000051969306,0.0019041398],"genre_scores_gemma":[0.17905444,0.004625096,0.8094682,0.0023685854,0.0014354426,0.0008943403,0.000267568,0.00023042319,0.001655959],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.95540786,0.036113795,0.0017739002,0.0022779196,0.0040598162,0.00036666857],"domain_scores_gemma":[0.78173774,0.18952827,0.005917044,0.014648844,0.007179021,0.0009891178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05964122,0.0011135999,0.0016742655,0.0039515016,0.0015773899,0.0065864855,0.004119089,0.0035108712,0.0020065792],"category_scores_gemma":[0.1973814,0.0009766541,0.0014135494,0.003049899,0.012050491,0.008372694,0.0063074837,0.007642586,0.0005936394],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026642088,0.00006333934,0.0033949232,0.00089408836,0.00020443091,0.000102260354,0.0006081894,0.061314933,0.00033359084,0.875382,0.0023777708,0.05529777],"study_design_scores_gemma":[0.00001148188,0.000026506945,0.00031366092,0.00018586515,0.000012205112,0.000036922986,0.0001364119,0.07152628,0.0002225567,0.9210203,0.0064929826,0.000014859678],"about_ca_topic_score_codex":0.0028279584,"about_ca_topic_score_gemma":0.0034771317,"teacher_disagreement_score":0.05964122,"about_ca_system_score_codex":0.0029181533,"about_ca_system_score_gemma":0.00659914,"threshold_uncertainty_score":0.31541675},"labels":[],"label_agreement":null},{"id":"W4392585592","doi":"10.5194/egusphere-egu24-4169","title":"Use of automated mineralogy for the quantification of pyrrhotite in concrete aggregates","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Geological Survey of Canada","funders":"","keywords":"Pyrrhotite; Geology; Mineralogy; Geochemistry; Pyrite","score_opus":0.0577884301848736,"score_gpt":0.28819364225593336,"score_spread":0.23040521207105977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392585592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47444147,0.0052685607,0.4606785,0.0004990256,0.0004653054,0.00088950474,0.010271522,0.027849102,0.019637056],"genre_scores_gemma":[0.6344248,0.0021147975,0.35104954,0.00043877368,0.0001507708,0.00058082514,0.0038517842,0.00067286164,0.0067157857],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985891,0.00010626771,0.00006182866,0.0005449688,0.0005846857,0.00011307728],"domain_scores_gemma":[0.9992822,0.0001337113,0.00014885282,0.000103173734,0.0002852317,0.00004690522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001128755,0.0010362664,0.00064668723,0.003738543,0.0005234233,0.0011387048,0.0007807978,0.0010695226,0.004229498],"category_scores_gemma":[0.0013821608,0.0005665527,0.0005892644,0.0014148941,0.00045129773,0.0007457813,0.0010559538,0.0007604792,0.0026966224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007316896,0.0003237671,0.047375888,0.0008845238,0.00027190338,0.0004910917,0.00032681783,0.0046500154,0.76613253,0.0010324998,0.0032774159,0.17450194],"study_design_scores_gemma":[0.00013263697,0.0006013636,0.073141046,0.00013835986,0.00027193417,0.0012245198,0.00037601753,0.15426534,0.7460412,0.0019029627,0.021678897,0.00022576212],"about_ca_topic_score_codex":0.002661772,"about_ca_topic_score_gemma":0.0057575027,"teacher_disagreement_score":0.004229498,"about_ca_system_score_codex":0.0004663477,"about_ca_system_score_gemma":0.0007630555,"threshold_uncertainty_score":0.01414907},"labels":[],"label_agreement":null},{"id":"W4392604262","doi":"10.5194/egusphere-egu24-12028","title":"The Quantification of Ultramafic Mine Waste Reactivity for Carbon Mineralization","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ultramafic rock; Mineralization (soil science); Reactivity (psychology); Geochemistry; Carbon fibers; Environmental science; Geology; Waste management; Engineering; Soil science; Computer science; Medicine; Soil water","score_opus":0.026381306810399956,"score_gpt":0.2634196155474928,"score_spread":0.23703830873709286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392604262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9207134,0.0029881834,0.068948194,0.00016003892,0.000060226277,0.00023440066,0.0024859458,0.00034585554,0.00406372],"genre_scores_gemma":[0.9421146,0.002540544,0.0521519,0.00013692776,0.000024576382,0.0002686023,0.0010542349,0.00006687016,0.0016418464],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993389,0.00007915785,0.000039820763,0.00013938235,0.00035302516,0.00004974221],"domain_scores_gemma":[0.999579,0.00016592807,0.00008402139,0.000043688942,0.00010830228,0.000019004914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062688655,0.00049991615,0.00030423512,0.00105839,0.00034464285,0.0008268598,0.00046969435,0.00079028757,0.0008657814],"category_scores_gemma":[0.0010986237,0.00025879306,0.0004734965,0.00097619125,0.00037192344,0.00053878466,0.00039172795,0.00071666593,0.0003828103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095673255,0.000061493694,0.0050189933,0.000182127,0.00003095741,0.000047390386,0.00008648248,0.00091818476,0.9783932,0.0003781532,0.00013022214,0.014657314],"study_design_scores_gemma":[0.0000068413665,0.0001935345,0.02652991,0.00003948979,0.000035721263,0.00016891828,0.00014461829,0.014551769,0.954963,0.00038586473,0.002947481,0.000032901316],"about_ca_topic_score_codex":0.0017110077,"about_ca_topic_score_gemma":0.0040961634,"teacher_disagreement_score":0.0017110077,"about_ca_system_score_codex":0.00032613592,"about_ca_system_score_gemma":0.00044293588,"threshold_uncertainty_score":0.003402114},"labels":[],"label_agreement":null},{"id":"W4392630702","doi":"10.5194/egusphere-egu24-15996","title":"Accurate characterization of graphite in ores and black mass using an innovative sample preparation method for automated mineralogy","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agnico Eagle (Canada)","funders":"","keywords":"Characterization (materials science); Graphite; Sample (material); Sample preparation; Materials science; Mineralogy; Geology; Metallurgy; Nanotechnology; Chemistry; Chromatography","score_opus":0.042899243725412234,"score_gpt":0.3528189943365007,"score_spread":0.30991975061108845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392630702","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75451094,0.004037893,0.23146856,0.00033473183,0.00025495357,0.0004387882,0.0012947166,0.0013748665,0.006284542],"genre_scores_gemma":[0.7160735,0.0024140424,0.27326804,0.00027251037,0.000058560363,0.0003927678,0.0011722085,0.00042889075,0.0059194267],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99912983,0.000082142906,0.000041276835,0.00018962426,0.0005015502,0.00005555322],"domain_scores_gemma":[0.99950993,0.00012954467,0.00007672297,0.00006020033,0.00019855343,0.00002506629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008009021,0.0005606905,0.00044254088,0.0013331744,0.00047670328,0.0004965087,0.00043827802,0.00075924315,0.0016175937],"category_scores_gemma":[0.0009509687,0.00032055855,0.00041102344,0.00047912548,0.00050727476,0.0004843855,0.000610083,0.00078000803,0.0007050759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006755208,0.000017847187,0.0010073878,0.00022690243,0.000011376282,0.00013191237,0.00008394014,0.00012022378,0.9874658,0.00019005529,0.00016312554,0.010513803],"study_design_scores_gemma":[0.000016856888,0.00024271058,0.010242743,0.00004279772,0.000035922316,0.00059437193,0.00012209028,0.0021414694,0.9780488,0.0002482283,0.008237004,0.000026966018],"about_ca_topic_score_codex":0.0006830865,"about_ca_topic_score_gemma":0.0039076437,"teacher_disagreement_score":0.0016175937,"about_ca_system_score_codex":0.00024921328,"about_ca_system_score_gemma":0.00042436545,"threshold_uncertainty_score":0.005411327},"labels":[],"label_agreement":null},{"id":"W4392651079","doi":"10.5194/egusphere-egu24-20796","title":"Predicting Soil Nitrogen Mineralization Potential using Pyrolysis-coupled FTIR","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Mineralization (soil science); Fourier transform infrared spectroscopy; Pyrolysis; Nitrogen; Environmental science; Environmental chemistry; Soil science; Chemistry; Chemical engineering; Soil water; Engineering; Organic chemistry","score_opus":0.014539290040068258,"score_gpt":0.23677260287940516,"score_spread":0.2222333128393369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392651079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9711094,0.00041303973,0.025861831,0.000033225268,0.00000920689,0.00006479663,0.0012015472,0.0001944944,0.0011124285],"genre_scores_gemma":[0.95047057,0.0005715836,0.047204625,0.000025811576,0.0000042214347,0.00008544779,0.0008273284,0.000027042794,0.0007834429],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981576,0.000021442927,0.000010018165,0.000061853796,0.000073774805,0.000017157074],"domain_scores_gemma":[0.99977,0.00012072598,0.00003518191,0.000009927101,0.00005313182,0.000010996749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054165034,0.0005004978,0.0003221489,0.00056257664,0.00018134805,0.00039805978,0.000396122,0.0006049959,0.0006122038],"category_scores_gemma":[0.00061380025,0.00025273432,0.00051116216,0.0005785553,0.00013209059,0.0004715806,0.00023295164,0.0003623463,0.00034218005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035054568,0.00023640295,0.053167947,0.0002842594,0.00009248239,0.00020740999,0.000063277774,0.050590497,0.8465452,0.00011920315,0.00026532065,0.048077486],"study_design_scores_gemma":[0.000018833376,0.00038265102,0.09535644,0.00003225379,0.00007264228,0.00017860092,0.00012795927,0.63198125,0.27049285,0.00034027678,0.00095535436,0.000061037834],"about_ca_topic_score_codex":0.004375437,"about_ca_topic_score_gemma":0.00816252,"teacher_disagreement_score":0.004375437,"about_ca_system_score_codex":0.0003450732,"about_ca_system_score_gemma":0.00025928428,"threshold_uncertainty_score":0.008699894},"labels":[],"label_agreement":null},{"id":"W4392704564","doi":"10.29363/nanoge.matsus.2024.151","title":"Prediction Robustness and Data Redundancy in Machine Learning for Materials Science","year":2023,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; University of Toronto","funders":"","keywords":"Robustness (evolution); Computer science; Redundancy (engineering); Machine learning; Artificial intelligence; Data mining","score_opus":0.05732945414698173,"score_gpt":0.28811506478844384,"score_spread":0.2307856106414621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392704564","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062697574,0.020411897,0.88724464,0.020435845,0.00093137287,0.0001591568,0.000775723,0.0018427294,0.0055010933],"genre_scores_gemma":[0.7621523,0.008296586,0.21895188,0.002654707,0.002845506,0.00046227901,0.0016962036,0.00045464572,0.0024859225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9790317,0.012571031,0.0013345344,0.0022772173,0.004210427,0.0005750741],"domain_scores_gemma":[0.8628879,0.11329733,0.0039805477,0.013742087,0.005290657,0.000801518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03006556,0.0014842502,0.0029195552,0.0022600084,0.0013025264,0.004713291,0.0024305324,0.0027586927,0.001396774],"category_scores_gemma":[0.100869894,0.0012044964,0.0017209935,0.0023339153,0.0043979078,0.007073467,0.005314289,0.006501669,0.0008540404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009838449,0.00024488292,0.010992746,0.0011248619,0.0007141968,0.00037581925,0.00060644693,0.5125537,0.004300513,0.18328117,0.013310182,0.27151164],"study_design_scores_gemma":[0.000025352465,0.000120641336,0.0011148703,0.00014078894,0.000047916375,0.00007371717,0.00006164924,0.78516906,0.0032838064,0.20660135,0.0033122944,0.000048560374],"about_ca_topic_score_codex":0.0023087931,"about_ca_topic_score_gemma":0.0011749974,"teacher_disagreement_score":0.03006556,"about_ca_system_score_codex":0.002457874,"about_ca_system_score_gemma":0.0020359221,"threshold_uncertainty_score":0.1590038},"labels":[],"label_agreement":null},{"id":"W4392747752","doi":"10.1007/s00603-024-03801-0","title":"Estimating Brazilian Tensile Strength of Granite Rocks Using Metaheuristic Algorithms-Based Self-Organizing Neural Networks","year":2024,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Mean squared error; Overfitting; Algorithm; Artificial neural network; Metaheuristic; Mathematics; Particle swarm optimization; Artificial intelligence; Machine learning; Computer science; Statistics","score_opus":0.008088969570907996,"score_gpt":0.20966132450306618,"score_spread":0.2015723549321582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392747752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9066708,0.00025232177,0.09063929,0.00006382261,0.000017603183,0.00003114075,0.00014211518,0.00021624335,0.0019666296],"genre_scores_gemma":[0.9885825,0.000040683695,0.010960442,0.0000049005926,0.000004525742,0.000013156344,0.00009699978,0.000009900555,0.00028699436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998796,0.000021430966,0.000008379292,0.000037302983,0.000035818106,0.000017416258],"domain_scores_gemma":[0.99955946,0.00019306997,0.00007474326,0.00002300326,0.00012883279,0.000020957015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040069912,0.0006155578,0.00049399165,0.001541286,0.000277207,0.0006509645,0.0006217136,0.0008087939,0.0004017251],"category_scores_gemma":[0.0012317074,0.00035382799,0.0005545856,0.00086094777,0.00024245188,0.0004920147,0.00028940718,0.00027279992,0.0001205142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001644228,0.00009244445,0.017697215,0.000082389604,0.000110878434,0.00012874714,0.000030492556,0.91705287,0.01175542,0.0004694573,0.00022383133,0.0521918],"study_design_scores_gemma":[0.0000047421395,0.000011205001,0.0028139823,0.0000023297137,0.0000110771525,0.000011217307,0.000011926308,0.9958407,0.0010669696,0.00017933063,0.000042492957,0.0000040427735],"about_ca_topic_score_codex":0.006893394,"about_ca_topic_score_gemma":0.011655767,"teacher_disagreement_score":0.006893394,"about_ca_system_score_codex":0.0005696811,"about_ca_system_score_gemma":0.0004163871,"threshold_uncertainty_score":0.013706565},"labels":[],"label_agreement":null},{"id":"W4393255872","doi":"10.3390/min14040356","title":"Machine-Learning Analysis of the Canadian Royalties Grinding Circuit","year":2024,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Grinding; Ball mill; Grind; Pentlandite; Gangue; Mill; Metallurgy; Environmental science; Pulp and paper industry; Chalcopyrite; Concentrator; Pyrrhotite; Materials science; Engineering; Mechanical engineering; Sulfide","score_opus":0.01635684165952174,"score_gpt":0.21873385379662896,"score_spread":0.20237701213710724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393255872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9744076,0.0003456914,0.012202551,0.00026538922,0.0000256313,0.00005655854,0.0029782027,0.00035273403,0.009365594],"genre_scores_gemma":[0.9862844,0.00015700333,0.006576573,0.000022030326,0.00000551312,0.000015427711,0.0026100604,0.000026548516,0.0043023448],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946815,0.00003005237,0.000013014148,0.000095508614,0.0003020813,0.000091298665],"domain_scores_gemma":[0.998749,0.00020024346,0.00012421618,0.00004307992,0.00082357234,0.00005996846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005741754,0.00046414864,0.0002451686,0.0017325884,0.00054010656,0.00078917755,0.00051523745,0.0002637933,0.0016676268],"category_scores_gemma":[0.002761127,0.00014684965,0.00038274296,0.002261281,0.00036577863,0.00024181564,0.00023496391,0.0003907482,0.00037658113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049663807,0.0002091047,0.37151867,0.00027701558,0.0002533765,0.00088153826,0.0008331648,0.19326851,0.04565177,0.0062854206,0.010642497,0.36968237],"study_design_scores_gemma":[0.000010473867,0.000051411895,0.72379714,0.00001497332,0.000029874684,0.00007316162,0.00023308059,0.25963527,0.007827747,0.0006009121,0.0076775122,0.00004848234],"about_ca_topic_score_codex":0.8116228,"about_ca_topic_score_gemma":0.8031003,"teacher_disagreement_score":0.1883772,"about_ca_system_score_codex":0.005575778,"about_ca_system_score_gemma":0.0056096003,"threshold_uncertainty_score":0.37897313},"labels":[],"label_agreement":null},{"id":"W4393477445","doi":"10.5281/zenodo.7551437","title":"Identifying serpentine minerals by their chemical compositions with machine learning (dataset and python code)","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Python (programming language); Computer science; Programming language","score_opus":0.02826479828194307,"score_gpt":0.24227045695951646,"score_spread":0.2140056586775734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393477445","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023904962,0.00008363272,0.0007228504,0.000088983106,0.00006509945,0.00005148121,0.99207664,0.0026284426,0.0018924128],"genre_scores_gemma":[0.0019972923,0.00005115604,0.00273718,0.00006741652,0.000009020272,0.000091920476,0.99361706,0.00016692624,0.0012620242],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999589,0.000030408499,0.000033280456,0.00013237703,0.00013545463,0.00007949188],"domain_scores_gemma":[0.99935657,0.00009054257,0.000053531345,0.00018867308,0.00023115124,0.000079656646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043891562,0.0022288891,0.0009465601,0.0021201898,0.00085640844,0.0010667564,0.0017366533,0.0013872584,0.018266305],"category_scores_gemma":[0.0013485118,0.00046174892,0.0013407527,0.002350939,0.00044150496,0.0006876309,0.0011573927,0.0014409148,0.03658901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016124583,0.00011945644,0.0029244483,0.00057243806,0.00004780972,0.00008287371,0.00003677067,0.0017551911,0.0019777762,0.00053734134,0.9805879,0.011196613],"study_design_scores_gemma":[0.00036898055,0.00006008697,0.016670512,0.00023782247,0.000063052146,0.00025515963,0.00016112221,0.0059275012,0.0075286105,0.003630479,0.96500766,0.00008907191],"about_ca_topic_score_codex":0.02191592,"about_ca_topic_score_gemma":0.049231954,"teacher_disagreement_score":0.02191592,"about_ca_system_score_codex":0.0010054742,"about_ca_system_score_gemma":0.0017730404,"threshold_uncertainty_score":0.0611068},"labels":[],"label_agreement":null},{"id":"W4393537530","doi":"10.5281/zenodo.3986171","title":"Geostatistical Analysis of SARS-CoV-2 Positive Cases in the United States","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Geography; Virology; Medicine; Outbreak; Internal medicine; Infectious disease (medical specialty)","score_opus":0.05451912445452014,"score_gpt":0.2858976247155951,"score_spread":0.23137850026107495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393537530","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22634855,0.00015327058,0.0051347464,0.0005739992,0.00005831904,0.00019991321,0.7556193,0.0014372764,0.010474623],"genre_scores_gemma":[0.40301934,0.00022469003,0.0077495296,0.00013743465,0.000039146533,0.00040668575,0.58520186,0.00048031248,0.0027409617],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99910814,0.00024385867,0.00011679741,0.00022435124,0.00022335065,0.0000834228],"domain_scores_gemma":[0.99719703,0.0010302112,0.0004442758,0.000567614,0.00065906823,0.000101857106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012165311,0.00023218931,0.00033119874,0.0028694076,0.00025246723,0.0005759798,0.0006586447,0.00017356368,0.010130947],"category_scores_gemma":[0.005531617,0.00018588852,0.0005863665,0.004178867,0.00023089098,0.00038984834,0.0010261846,0.00038899246,0.0015896934],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051327125,0.00010713637,0.56986386,0.00033284954,0.00040619966,0.0002232914,0.0006407355,0.01627455,0.00071414036,0.0023116115,0.3579457,0.050666638],"study_design_scores_gemma":[0.00010897526,0.000071686634,0.92430043,0.00018760731,0.00013334138,0.00023494182,0.0013009264,0.016958717,0.00092283107,0.001704395,0.054015823,0.00006026985],"about_ca_topic_score_codex":0.08384395,"about_ca_topic_score_gemma":0.094073944,"teacher_disagreement_score":0.08384395,"about_ca_system_score_codex":0.0007534196,"about_ca_system_score_gemma":0.0010713368,"threshold_uncertainty_score":0.16671187},"labels":[],"label_agreement":null},{"id":"W4393713055","doi":"10.5281/zenodo.7551184","title":"Identifying serpentine minerals by their chemical compositions with machine learning (dataset and python code)","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Python (programming language); Computer science; Geochemistry; Programming language; Geology","score_opus":0.023181761121006082,"score_gpt":0.23276651551186323,"score_spread":0.20958475439085714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393713055","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024067184,0.000083745595,0.0006966558,0.00008744965,0.00006627868,0.000051125964,0.99223584,0.0024952905,0.0018769443],"genre_scores_gemma":[0.0019798917,0.000050417126,0.0026122285,0.00006654363,0.000009146753,0.000091997106,0.99375325,0.00016090994,0.00127556],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99959236,0.000030059318,0.000032451662,0.00013444647,0.00013194137,0.00007882533],"domain_scores_gemma":[0.9993705,0.00008933787,0.00005271557,0.00018604097,0.00022233278,0.00007915002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043414749,0.0022754981,0.0009292295,0.002128809,0.0008648793,0.0010761736,0.0017077333,0.0013906427,0.018550409],"category_scores_gemma":[0.0013290113,0.00045940425,0.001277596,0.0023270105,0.00043633688,0.0006973625,0.001168631,0.001409918,0.03692895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016122054,0.00012364132,0.0030297127,0.000593295,0.000047371865,0.00008733252,0.00003752097,0.0017862516,0.0020513968,0.0005394105,0.98032105,0.011221794],"study_design_scores_gemma":[0.00035768576,0.00006087048,0.01658885,0.0002333985,0.000060402082,0.00025487505,0.00016230984,0.005629466,0.007316495,0.0033718494,0.9658766,0.00008716102],"about_ca_topic_score_codex":0.020620555,"about_ca_topic_score_gemma":0.046894953,"teacher_disagreement_score":0.020620555,"about_ca_system_score_codex":0.00096405053,"about_ca_system_score_gemma":0.0016941951,"threshold_uncertainty_score":0.062057257},"labels":[],"label_agreement":null},{"id":"W4393738427","doi":"10.5281/zenodo.6779398","title":"Identifying serpentine minerals by their chemical compositions with machine learning (dataset and python code)","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Python (programming language); Computer science; Geochemistry; Programming language; Geology","score_opus":0.023181761121006082,"score_gpt":0.23276651551186323,"score_spread":0.20958475439085714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393738427","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024067184,0.000083745595,0.0006966558,0.00008744965,0.00006627868,0.000051125964,0.99223584,0.0024952905,0.0018769443],"genre_scores_gemma":[0.0019798917,0.000050417126,0.0026122285,0.00006654363,0.000009146753,0.000091997106,0.99375325,0.00016090994,0.00127556],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99959236,0.000030059318,0.000032451662,0.00013444647,0.00013194137,0.00007882533],"domain_scores_gemma":[0.9993705,0.00008933787,0.00005271557,0.00018604097,0.00022233278,0.00007915002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043414749,0.0022754981,0.0009292295,0.002128809,0.0008648793,0.0010761736,0.0017077333,0.0013906427,0.018550409],"category_scores_gemma":[0.0013290113,0.00045940425,0.001277596,0.0023270105,0.00043633688,0.0006973625,0.001168631,0.001409918,0.03692895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016122054,0.00012364132,0.0030297127,0.000593295,0.000047371865,0.00008733252,0.00003752097,0.0017862516,0.0020513968,0.0005394105,0.98032105,0.011221794],"study_design_scores_gemma":[0.00035768576,0.00006087048,0.01658885,0.0002333985,0.000060402082,0.00025487505,0.00016230984,0.005629466,0.007316495,0.0033718494,0.9658766,0.00008716102],"about_ca_topic_score_codex":0.020620555,"about_ca_topic_score_gemma":0.046894953,"teacher_disagreement_score":0.020620555,"about_ca_system_score_codex":0.00096405053,"about_ca_system_score_gemma":0.0016941951,"threshold_uncertainty_score":0.062057257},"labels":[],"label_agreement":null},{"id":"W4393751104","doi":"10.5281/zenodo.3950057","title":"Geostatistical Analysis of SARS-CoV-2 in the United States","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Virology; Geography; Biology; Medicine; Outbreak; Internal medicine","score_opus":0.055185254653485526,"score_gpt":0.2810784938847729,"score_spread":0.22589323923128737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393751104","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08962093,0.0008142961,0.05627982,0.0020073152,0.0005368376,0.00053972413,0.7372563,0.019313138,0.093631685],"genre_scores_gemma":[0.30597606,0.0011350252,0.07316943,0.00051515206,0.00025124903,0.0010545817,0.5878318,0.0071412222,0.022925517],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99715865,0.0007862839,0.00026774564,0.00041287966,0.0012363655,0.00013809797],"domain_scores_gemma":[0.98576677,0.005322612,0.0012259163,0.0020832557,0.0054240283,0.00017746269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032885675,0.0003708793,0.0005051808,0.00324973,0.00034335858,0.0013958506,0.0007296257,0.00023644604,0.033060268],"category_scores_gemma":[0.019934485,0.00031560956,0.0006112946,0.006141869,0.000330745,0.00070178875,0.0011508486,0.0008293711,0.008513786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032251223,0.00007486212,0.099235654,0.00040396888,0.00020103577,0.00019514177,0.0005717473,0.009197569,0.00085672614,0.007152327,0.75152695,0.1302614],"study_design_scores_gemma":[0.00015266259,0.00017200103,0.41498682,0.0007758245,0.00023038441,0.0003744688,0.0017102251,0.029735252,0.004521589,0.0068105366,0.540395,0.00013513604],"about_ca_topic_score_codex":0.05780575,"about_ca_topic_score_gemma":0.06096324,"teacher_disagreement_score":0.05780575,"about_ca_system_score_codex":0.0012781286,"about_ca_system_score_gemma":0.0026500823,"threshold_uncertainty_score":0.11493856},"labels":[],"label_agreement":null},{"id":"W4393761902","doi":"10.5281/zenodo.6779397","title":"Identifying serpentine minerals by their chemical compositions with machine learning (dataset and python code)","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Python (programming language); Computer science; Programming language; Artificial intelligence","score_opus":0.02826479828194307,"score_gpt":0.24227045695951646,"score_spread":0.2140056586775734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393761902","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023904962,0.00008363272,0.0007228504,0.000088983106,0.00006509945,0.00005148121,0.99207664,0.0026284426,0.0018924128],"genre_scores_gemma":[0.0019972923,0.00005115604,0.00273718,0.00006741652,0.000009020272,0.000091920476,0.99361706,0.00016692624,0.0012620242],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999589,0.000030408499,0.000033280456,0.00013237703,0.00013545463,0.00007949188],"domain_scores_gemma":[0.99935657,0.00009054257,0.000053531345,0.00018867308,0.00023115124,0.000079656646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043891562,0.0022288891,0.0009465601,0.0021201898,0.00085640844,0.0010667564,0.0017366533,0.0013872584,0.018266305],"category_scores_gemma":[0.0013485118,0.00046174892,0.0013407527,0.002350939,0.00044150496,0.0006876309,0.0011573927,0.0014409148,0.03658901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016124583,0.00011945644,0.0029244483,0.00057243806,0.00004780972,0.00008287371,0.00003677067,0.0017551911,0.0019777762,0.00053734134,0.9805879,0.011196613],"study_design_scores_gemma":[0.00036898055,0.00006008697,0.016670512,0.00023782247,0.000063052146,0.00025515963,0.00016112221,0.0059275012,0.0075286105,0.003630479,0.96500766,0.00008907191],"about_ca_topic_score_codex":0.02191592,"about_ca_topic_score_gemma":0.049231954,"teacher_disagreement_score":0.02191592,"about_ca_system_score_codex":0.0010054742,"about_ca_system_score_gemma":0.0017730404,"threshold_uncertainty_score":0.0611068},"labels":[],"label_agreement":null},{"id":"W4394003544","doi":"10.1109/icops45740.2023.10481441","title":"Domain Adaptation in LIBS Streaming Using Transfer Learning and Self-Learning for Soil Classification","year":2023,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Domain adaptation; Transfer of learning; Adaptation (eye); Computer science; Domain (mathematical analysis); Artificial intelligence; Machine learning; Human–computer interaction; Psychology; Mathematics","score_opus":0.030567728963012374,"score_gpt":0.25526977529903216,"score_spread":0.22470204633601978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394003544","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1722043,0.0012658458,0.81235534,0.0006376696,0.00022459427,0.0002118154,0.0005261655,0.01021199,0.0023622934],"genre_scores_gemma":[0.7681246,0.00038857368,0.22343598,0.0005313328,0.00014362228,0.00032985667,0.002561168,0.00035454292,0.004130466],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995134,0.00010395552,0.00004002411,0.0001748223,0.00010287383,0.00006494033],"domain_scores_gemma":[0.9986987,0.0004509451,0.000101944745,0.00025430383,0.00041184534,0.00008229184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013536202,0.0011946838,0.0010549262,0.0008029657,0.00049373676,0.0008697987,0.001986753,0.0011689706,0.0016146409],"category_scores_gemma":[0.0036544327,0.00041261676,0.0010643688,0.0008416509,0.0006493444,0.0017891617,0.0015955915,0.002046348,0.0011459717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000338325,0.0005964708,0.006674367,0.00016601411,0.00012948035,0.0002392056,0.00021010342,0.4828831,0.01416341,0.0022009537,0.0071115377,0.48528707],"study_design_scores_gemma":[0.000007195322,0.000029200977,0.00028052638,0.000003618273,0.0000051345955,0.000016709613,0.0000146058155,0.99567753,0.0022496525,0.001309797,0.0003983313,0.000007690268],"about_ca_topic_score_codex":0.0047637243,"about_ca_topic_score_gemma":0.003689188,"teacher_disagreement_score":0.0047637243,"about_ca_system_score_codex":0.0007899755,"about_ca_system_score_gemma":0.0010536546,"threshold_uncertainty_score":0.0094720125},"labels":[],"label_agreement":null},{"id":"W4394327687","doi":"10.6084/m9.figshare.3454151","title":"Application of portable XRF to the direct analysis of till samples from various deposit types in Canada","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science","score_opus":0.0133898072171568,"score_gpt":0.20860420302551208,"score_spread":0.19521439580835528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394327687","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98319316,0.00043746227,0.0072827092,0.00004199968,0.0000074920054,0.0001211628,0.0012763507,0.00019821401,0.0074414522],"genre_scores_gemma":[0.9498031,0.0008860786,0.03440367,0.00006609726,0.000004801994,0.000063605985,0.002125071,0.0001014541,0.012546107],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991134,0.000024606372,0.000035184265,0.00018989695,0.00052265683,0.00011437107],"domain_scores_gemma":[0.99971455,0.000020949037,0.00002960007,0.00002317715,0.00019131784,0.000020452788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042022576,0.00038369358,0.0003342703,0.0015959486,0.0013510913,0.0009917185,0.0006940217,0.00023250497,0.0015017757],"category_scores_gemma":[0.00070300436,0.00029483062,0.00031089134,0.0015544462,0.00053663127,0.0002923671,0.0005837056,0.0003521679,0.00031916253],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003195072,0.000066189314,0.1446828,0.0002990268,0.00012848804,0.0010092448,0.0023678634,0.0011812154,0.76892495,0.00042949495,0.0006905358,0.07990059],"study_design_scores_gemma":[0.000021976706,0.00025564726,0.7910089,0.000047337773,0.000088613364,0.0013168935,0.0022844612,0.0013773602,0.19126214,0.00009783335,0.01220305,0.0000356984],"about_ca_topic_score_codex":0.69001955,"about_ca_topic_score_gemma":0.8737715,"teacher_disagreement_score":0.30998045,"about_ca_system_score_codex":0.003031803,"about_ca_system_score_gemma":0.0037959663,"threshold_uncertainty_score":0.6236119},"labels":[],"label_agreement":null},{"id":"W4394515214","doi":"10.6084/m9.figshare.3506681","title":"The application of portable XRF and benchtop SEM-EDS to Cu-Pd exploration in the Coldwell Alkaline Complex, Ontario, Canada","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental chemistry; Mineralogy; Environmental science; Geology; Archaeology; Geochemistry; Chemistry; Geography","score_opus":0.03033873698506021,"score_gpt":0.23563553027091907,"score_spread":0.20529679328585887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394515214","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006259364,0.00013768295,0.00012499453,0.000035189147,0.000009179332,0.000014526976,0.9980501,0.00020092369,0.0008014411],"genre_scores_gemma":[0.0023897719,0.00021026238,0.0007195024,0.00002467827,0.0000040379173,0.00007563666,0.99529356,0.000090581016,0.0011920357],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998514,0.00013020405,0.0001532969,0.00038002006,0.00056225114,0.00026015454],"domain_scores_gemma":[0.99502146,0.0006286956,0.00037044944,0.0009075826,0.0027820063,0.0002898596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018356406,0.0021673497,0.0013654311,0.005836795,0.0015468406,0.0020625158,0.0028860085,0.0012785614,0.012023822],"category_scores_gemma":[0.007278362,0.0008178498,0.0015616303,0.012454726,0.00065443246,0.0007777498,0.0017162308,0.0012973376,0.011799591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002765175,0.000042830008,0.016220227,0.002921221,0.00028716604,0.00009219021,0.0001933128,0.0030533324,0.0005917137,0.0010748284,0.96162456,0.013622148],"study_design_scores_gemma":[0.00020653507,0.000019467909,0.0579092,0.00081846607,0.00016881032,0.000059347858,0.0002877273,0.0010627582,0.001111025,0.00077976676,0.9375125,0.000064213746],"about_ca_topic_score_codex":0.906859,"about_ca_topic_score_gemma":0.94400364,"teacher_disagreement_score":0.09314102,"about_ca_system_score_codex":0.009434895,"about_ca_system_score_gemma":0.019970888,"threshold_uncertainty_score":0.18737906},"labels":[],"label_agreement":null},{"id":"W4394908594","doi":"10.1080/19236026.2024.2322391","title":"Some common flaws encountered in mineral resource estimation and how to avoid them","year":2024,"lang":"en","type":"article","venue":"CIM Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Workflow; Resource (disambiguation); Estimation; Computer science; Process (computing); Quality (philosophy); Component (thermodynamics); Work (physics); Resource use; Risk analysis (engineering); Systematic error; Operations research; Operations management; Systems engineering; Business; Engineering; Environmental resource management; Environmental science; Statistics; Database; Mechanical engineering","score_opus":0.017061998979763578,"score_gpt":0.23879319258738188,"score_spread":0.2217311936076183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394908594","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12665759,0.041579008,0.6133585,0.1775515,0.0070724613,0.0010198393,0.00055034936,0.0061479965,0.026062742],"genre_scores_gemma":[0.29814306,0.018943893,0.6517441,0.01585101,0.0013806587,0.0003203096,0.00046873777,0.0016968641,0.011451343],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.91193396,0.029185612,0.015582221,0.006195433,0.03477265,0.0023301141],"domain_scores_gemma":[0.74633574,0.11751175,0.03316019,0.021879092,0.0784081,0.0027051438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07273681,0.0015744794,0.00135916,0.0048176907,0.004189797,0.008501872,0.004732976,0.005756144,0.0026046936],"category_scores_gemma":[0.23930554,0.001649264,0.0015396681,0.0049867937,0.008255998,0.012391018,0.0051979246,0.0059278794,0.001412633],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049826805,0.00039095708,0.052445922,0.0068926443,0.0003728259,0.01049133,0.04455945,0.009373507,0.010331342,0.05887417,0.063676804,0.7420928],"study_design_scores_gemma":[0.00015792581,0.0010610846,0.047604483,0.022817416,0.0007120205,0.047391575,0.09092757,0.038972314,0.042028923,0.21105671,0.49526134,0.0020086367],"about_ca_topic_score_codex":0.012957475,"about_ca_topic_score_gemma":0.01592303,"teacher_disagreement_score":0.07273681,"about_ca_system_score_codex":0.004879058,"about_ca_system_score_gemma":0.008416797,"threshold_uncertainty_score":0.3846736},"labels":[],"label_agreement":null},{"id":"W4394981916","doi":"10.1016/j.ces.2024.120172","title":"Multi-objective optimization of sequential simulated moving bed for multi-component separation based on multi-parameter modeling and its determination","year":2024,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Simulated moving bed; Separation (statistics); Component (thermodynamics); Computer science; Mathematical optimization; Mathematics; Chemistry; Machine learning; Physics; Thermodynamics","score_opus":0.029298790518396338,"score_gpt":0.29176369471355607,"score_spread":0.2624649041951597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394981916","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08474823,0.0007476213,0.90822494,0.00021442263,0.000090544956,0.000121286816,0.00011956529,0.00027913172,0.005454314],"genre_scores_gemma":[0.8636947,0.00045678765,0.13036713,0.00007320887,0.000033778604,0.00042571846,0.00024004033,0.000092091796,0.0046165413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996315,0.00013448764,0.00002071044,0.0000710993,0.000093700204,0.00004843841],"domain_scores_gemma":[0.99931407,0.00043143216,0.0000566492,0.000021823598,0.00014667407,0.000029290948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011988111,0.001297694,0.0018108581,0.00071620574,0.00078628457,0.0010987128,0.001203487,0.0015682105,0.0019571306],"category_scores_gemma":[0.0015144504,0.0011076456,0.0013723589,0.00069279614,0.0005966003,0.0008512914,0.00085914164,0.0009925053,0.00024156376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021277367,0.000018054525,0.00012626703,0.00003233112,0.0000177892,0.0000162104,0.000009071833,0.9964636,0.00041109472,0.0006153162,0.00006817151,0.0022008542],"study_design_scores_gemma":[0.0000020661444,0.0000057924517,0.000027458365,8.233539e-7,0.0000022384622,0.0000011545737,0.0000014360053,0.9997582,0.000088687,0.00007964299,0.000031216587,0.0000011831423],"about_ca_topic_score_codex":0.01875548,"about_ca_topic_score_gemma":0.010101314,"teacher_disagreement_score":0.01875548,"about_ca_system_score_codex":0.000971733,"about_ca_system_score_gemma":0.0019473945,"threshold_uncertainty_score":0.03729266},"labels":[],"label_agreement":null},{"id":"W4395465097","doi":"10.18280/ijdne.190217","title":"Enhancing Efficiency and Safety in Grain Silo Unloading: Analysis and Optimization of Mechanisms","year":2024,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Silo; Information silo; Engineering; Environmental science; Materials science; Mechanical engineering","score_opus":0.0048603774096640595,"score_gpt":0.22992922248742087,"score_spread":0.22506884507775682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395465097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6953157,0.00134808,0.2918667,0.00022613701,0.000036678593,0.00030530986,0.00015233913,0.00038706142,0.010361906],"genre_scores_gemma":[0.970402,0.0004557254,0.027916042,0.000012363186,0.0000041017724,0.000063060936,0.00006364208,0.00003859962,0.0010446138],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935156,0.000109197244,0.000041631603,0.00011123984,0.00026754895,0.00011880568],"domain_scores_gemma":[0.9985682,0.0006142449,0.0003413948,0.00016276793,0.0002662213,0.000047231762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015820421,0.0009676859,0.00067617884,0.0015703017,0.00066932087,0.0019688406,0.0009394197,0.0007053797,0.0013635695],"category_scores_gemma":[0.0023845874,0.00047410282,0.0008139078,0.0008967654,0.0007848877,0.0017689167,0.0007029732,0.00051521166,0.00028041462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067797786,0.00062985014,0.025794676,0.0012253912,0.00012879907,0.00026754325,0.00035370025,0.6484769,0.13702333,0.011485141,0.00047992045,0.17345671],"study_design_scores_gemma":[0.00006367782,0.0014897947,0.03449194,0.000112422305,0.00027130218,0.00014054195,0.00067223323,0.852045,0.09607319,0.009763564,0.0047812276,0.00009507712],"about_ca_topic_score_codex":0.002761957,"about_ca_topic_score_gemma":0.00445937,"teacher_disagreement_score":0.002761957,"about_ca_system_score_codex":0.0013142683,"about_ca_system_score_gemma":0.0015266772,"threshold_uncertainty_score":0.00953573},"labels":[],"label_agreement":null},{"id":"W4396834067","doi":"10.21423/aabppro20238928","title":"Trace mineral testing in Ontario cow-calf operations","year":2024,"lang":"en","type":"article","venue":"Texas A&M University Libraries","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; Merck Canada Inc. (Canada); University of Guelph","funders":"","keywords":"Trace mineral; TRACE (psycholinguistics); Trace Minerals; Mineral; Environmental science; Geology; Animal science; Biology; Ecology","score_opus":0.02379709105552638,"score_gpt":0.1830912858492112,"score_spread":0.1592941947936848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396834067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99349046,0.00026974618,0.00017164138,0.0002401049,0.000009800273,0.000047276844,0.0003073936,0.00001002761,0.0054534464],"genre_scores_gemma":[0.9925217,0.00055072,0.0009018961,0.00021505814,0.000007095839,0.000017117918,0.0003021247,0.00000743971,0.005476804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924326,0.000067093555,0.00003846434,0.00006883572,0.0004189598,0.00016339435],"domain_scores_gemma":[0.99876297,0.00013979655,0.0002599478,0.000028532464,0.0005778458,0.00023101964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056016806,0.00019825697,0.00016556577,0.0010758645,0.002119111,0.0006491232,0.00048719652,0.00034310317,0.0021242707],"category_scores_gemma":[0.0017017389,0.00021694125,0.00016409077,0.001116856,0.0007339438,0.0001869037,0.00049591187,0.00031857853,0.0001716717],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032213348,0.00018718427,0.9483416,0.00013735646,0.000025964166,0.0030442304,0.006813049,0.00015557671,0.012584114,0.00014030837,0.0011526333,0.02709572],"study_design_scores_gemma":[0.000008520558,0.0004553882,0.98202413,0.000058547463,0.000020490876,0.00089453615,0.008059863,0.0001877341,0.0019001127,0.000059180908,0.006316828,0.000014687104],"about_ca_topic_score_codex":0.82200104,"about_ca_topic_score_gemma":0.95097095,"teacher_disagreement_score":0.17799896,"about_ca_system_score_codex":0.010293638,"about_ca_system_score_gemma":0.009466517,"threshold_uncertainty_score":0.35809445},"labels":[],"label_agreement":null},{"id":"W4396926766","doi":"10.3390/pr12050999","title":"Artificial Neural Network Modeling in the Presence of Uncertainty for Predicting Hydrogenation Degree in Continuous Nitrile Butadiene Rubber Processing","year":2024,"lang":"en","type":"article","venue":"Processes","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Nitrile; Natural rubber; Artificial neural network; Degree (music); Computer science; 1,3-Butadiene; Artificial intelligence; Materials science; Composite material; Chemistry; Organic chemistry; Acoustics; Physics; Catalysis","score_opus":0.047039569466851394,"score_gpt":0.26557947666076165,"score_spread":0.21853990719391025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396926766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6903112,0.0019303625,0.30184665,0.00057364226,0.00009220827,0.00006386014,0.00047867253,0.00036566958,0.0043376284],"genre_scores_gemma":[0.9908578,0.0002701683,0.008038441,0.00003366513,0.000014340561,0.000042509007,0.00016415441,0.000009354516,0.0005696882],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997725,0.00006735135,0.000018131968,0.00006137781,0.0000510002,0.00002965171],"domain_scores_gemma":[0.9991672,0.0006153533,0.000080144106,0.000021842001,0.000099278215,0.000016071464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010282368,0.0008703045,0.00059592625,0.00046269488,0.00028955704,0.0007938464,0.0005408636,0.0009864504,0.00062709994],"category_scores_gemma":[0.0017672931,0.0003601328,0.00067037635,0.0004249812,0.00031493357,0.0007323037,0.00041550846,0.0010231121,0.000099420475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035494166,0.00002210857,0.0010558092,0.000023294919,0.000015779713,0.000026709005,0.000008375037,0.9926422,0.00059598265,0.00022151151,0.000059533053,0.0052931923],"study_design_scores_gemma":[6.028531e-7,0.0000047493563,0.00014398791,0.0000014698724,0.000001664012,0.000001119035,0.0000013866343,0.9995912,0.00014382871,0.00009260315,0.00001593218,0.0000015411302],"about_ca_topic_score_codex":0.009967878,"about_ca_topic_score_gemma":0.0054771,"teacher_disagreement_score":0.009967878,"about_ca_system_score_codex":0.0006337632,"about_ca_system_score_gemma":0.00055172085,"threshold_uncertainty_score":0.019819677},"labels":[],"label_agreement":null},{"id":"W4397005312","doi":"10.1515/npprj-2024-0004","title":"Estimating lags in a kraft mill","year":2024,"lang":"en","type":"article","venue":"Nordic Pulp & Paper Research Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mill; Kraft paper; Kraft process; Pulp and paper industry; Industrial chemistry; Environmental science; Process engineering; Waste management; Engineering; Biochemical engineering; Mechanical engineering","score_opus":0.04624164534708005,"score_gpt":0.36532288361426296,"score_spread":0.31908123826718293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4397005312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83486515,0.00019784267,0.16115633,0.00014969197,0.000031835836,0.000041485422,0.0012706683,0.00054076506,0.0017462262],"genre_scores_gemma":[0.982427,0.00007664483,0.015540226,0.000018510342,0.000005248669,0.000013418176,0.00089552335,0.000031652256,0.0009917854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994537,0.00011199724,0.00002602977,0.00021915617,0.00009620289,0.00009299864],"domain_scores_gemma":[0.9977196,0.001343808,0.00033861224,0.00022992179,0.00026795504,0.00010008576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014927911,0.0007322347,0.00044925374,0.00048061917,0.00041225916,0.0011887221,0.0005813642,0.00057360926,0.0017388304],"category_scores_gemma":[0.00474341,0.0005626855,0.0006544243,0.0007197223,0.0004316311,0.00088947,0.00049225456,0.0010684889,0.00035833434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000347703,0.000106850064,0.12442284,0.0000635063,0.00015056523,0.00015046247,0.00016570977,0.83888394,0.0044659474,0.0055545694,0.00068732956,0.02500057],"study_design_scores_gemma":[0.000028620761,0.000091870825,0.037506495,0.000013332135,0.00004072745,0.000023273418,0.00010140682,0.95223945,0.0038154137,0.0046301875,0.0014660462,0.000043159675],"about_ca_topic_score_codex":0.13022412,"about_ca_topic_score_gemma":0.11581383,"teacher_disagreement_score":0.13022412,"about_ca_system_score_codex":0.0014384162,"about_ca_system_score_gemma":0.0026865848,"threshold_uncertainty_score":0.25893223},"labels":[],"label_agreement":null},{"id":"W4397039789","doi":"10.1016/j.ijmst.2024.04.002","title":"Enhancing XRF sensor-based sorting of porphyritic copper ore using particle swarm optimization-support vector machine (PSO-SVM) algorithm","year":2024,"lang":"en","type":"article","venue":"International Journal of Mining Science and Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sorting; Support vector machine; Particle swarm optimization; Multivariable calculus; Algorithm; Artificial intelligence; Computer science; Pattern recognition (psychology); Engineering; Data mining; Mathematics","score_opus":0.011759052459022394,"score_gpt":0.27316024874247,"score_spread":0.26140119628344766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4397039789","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21259451,0.00037697272,0.7825624,0.00019258786,0.0000682994,0.00009111368,0.000069975504,0.0014684515,0.0025756352],"genre_scores_gemma":[0.8161743,0.00016812545,0.1806378,0.00007670377,0.000019374947,0.00012474353,0.00016287755,0.0000432957,0.0025927415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979335,0.000031391166,0.000019545423,0.000055951783,0.0000704827,0.000029382345],"domain_scores_gemma":[0.99974674,0.000089781795,0.00003836108,0.000013561593,0.00010142852,0.000010163171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046264371,0.0006533238,0.000631239,0.00035927928,0.00017724722,0.0004739178,0.0005030109,0.0006270335,0.0005887235],"category_scores_gemma":[0.00085123506,0.0002516936,0.0004920517,0.00029451033,0.00018177756,0.0003615966,0.00024491813,0.00043244488,0.00020285287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003308266,0.00022720073,0.005659725,0.00028503605,0.00009025551,0.00014678585,0.00013982381,0.5972745,0.05514946,0.0012616552,0.0018284458,0.33760646],"study_design_scores_gemma":[0.000007315282,0.00005760811,0.00067475333,0.0000036345125,0.000006877723,0.000012927327,0.000009491918,0.99382544,0.0050317612,0.00011661344,0.00024831668,0.0000051964917],"about_ca_topic_score_codex":0.0048048547,"about_ca_topic_score_gemma":0.0029508225,"teacher_disagreement_score":0.0048048547,"about_ca_system_score_codex":0.00028139402,"about_ca_system_score_gemma":0.0005399722,"threshold_uncertainty_score":0.00955379},"labels":[],"label_agreement":null},{"id":"W4398581422","doi":"10.7910/dvn/nic4od","title":"India Coal Mines Dataset - December 2020","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coal; Mining engineering; Coal mining; Geology; Environmental science; Geography; Archaeology","score_opus":0.013850474634897206,"score_gpt":0.2312151227357811,"score_spread":0.2173646481008839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398581422","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044377902,0.0000648888,0.00005562383,0.000086245345,0.000032456883,0.000009644674,0.99823356,0.00028067257,0.0007931133],"genre_scores_gemma":[0.00066829193,0.00003405332,0.00015612715,0.000039989613,0.000007947262,0.000025964993,0.99859375,0.000020529034,0.00045326896],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990508,0.0001343229,0.00012574405,0.00025274255,0.0002512207,0.00018524737],"domain_scores_gemma":[0.99832314,0.0002227977,0.00015743043,0.00043996854,0.00067129236,0.0001852417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087252253,0.0014265466,0.000954915,0.0032886548,0.0008471378,0.0019080498,0.002753005,0.0014921387,0.022701366],"category_scores_gemma":[0.0038222715,0.00045581965,0.0009883572,0.0066233226,0.00043886792,0.001388682,0.0014258336,0.0014675907,0.05183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007954259,0.00004394158,0.00285923,0.00035946735,0.000033567638,0.000050787814,0.000030642223,0.00056272314,0.00013153083,0.00065441395,0.9922592,0.0029349239],"study_design_scores_gemma":[0.00016048289,0.000036543675,0.018467532,0.00021109627,0.000042035408,0.00013783116,0.00021247313,0.0014955648,0.0005373446,0.001184263,0.9774646,0.00005030538],"about_ca_topic_score_codex":0.034703925,"about_ca_topic_score_gemma":0.057810087,"teacher_disagreement_score":0.034703925,"about_ca_system_score_codex":0.0013421893,"about_ca_system_score_gemma":0.0021177772,"threshold_uncertainty_score":0.07594359},"labels":[],"label_agreement":null},{"id":"W4399058481","doi":"10.1007/978-3-031-54306-7_1","title":"Geomicrobiology: Present Approaches and Future Directions","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Geomicrobiology; Computer science; Earth science; Geology; Paleontology; Microbial ecology","score_opus":0.02230981505958818,"score_gpt":0.19893099971322276,"score_spread":0.17662118465363458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399058481","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010309677,0.7217438,0.023052262,0.013080687,0.009177775,0.000053331692,0.00017343015,0.0003095801,0.23137817],"genre_scores_gemma":[0.008051768,0.61471975,0.029056637,0.0056372634,0.0046983757,0.00013815556,0.0003161613,0.00023119278,0.33715072],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997795,0.000047700512,0.000010967979,0.000035035493,0.00009950423,0.000027305403],"domain_scores_gemma":[0.9997353,0.000112782276,0.0000127360745,0.000023638557,0.0000771228,0.000038447623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009721984,0.001087964,0.00096699834,0.0015743469,0.00076056586,0.004332759,0.0018989804,0.0019912934,0.026145147],"category_scores_gemma":[0.0003914519,0.00045081612,0.0004173888,0.0021975897,0.0021650307,0.0049521876,0.0017801701,0.002590718,0.01374894],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046802026,0.00014995885,0.00019724807,0.0026527483,0.0000129824175,0.00018034232,0.00039203433,0.0009275878,0.0069673094,0.22286339,0.18575479,0.5798547],"study_design_scores_gemma":[0.0000022923402,0.000019743435,0.000115997114,0.000371887,0.000004123993,0.00018291788,0.0001461456,0.00019476557,0.00063878443,0.03615184,0.96216285,0.000008728595],"about_ca_topic_score_codex":0.0015911744,"about_ca_topic_score_gemma":0.0058320845,"teacher_disagreement_score":0.026145147,"about_ca_system_score_codex":0.0016411805,"about_ca_system_score_gemma":0.001784817,"threshold_uncertainty_score":0.08746427},"labels":[],"label_agreement":null},{"id":"W4399333206","doi":"10.1080/00084433.2024.2357007","title":"Fundamental comminution efficiency gains with the CAHM platform technology","year":2024,"lang":"en","type":"article","venue":"Canadian Metallurgical Quarterly","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre for Excellence in Mining Innovation","funders":"","keywords":"Comminution; Process engineering; Materials science; Metallurgy; Engineering","score_opus":0.010858613856088177,"score_gpt":0.21102749015170263,"score_spread":0.20016887629561445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399333206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38931543,0.008674648,0.32374185,0.0023230228,0.0006939794,0.00048282786,0.00046915477,0.003122271,0.27117693],"genre_scores_gemma":[0.8542528,0.0018761862,0.11082619,0.0002733731,0.00008433225,0.000115903014,0.00030783305,0.00022842026,0.032034993],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998858,0.000050864746,0.000026223486,0.00016249594,0.00074756215,0.00015488947],"domain_scores_gemma":[0.99950707,0.00010814443,0.00007686813,0.000096666954,0.00017603462,0.00003524035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007451689,0.0005573685,0.00032047942,0.0006383297,0.0005681341,0.001603547,0.0011495858,0.00089133484,0.005183975],"category_scores_gemma":[0.0012854487,0.00034488094,0.0002964657,0.0005443113,0.0008095418,0.0019818142,0.0011600367,0.0012910038,0.0013956572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028817324,0.00015531227,0.00094841537,0.00045515405,0.000023966972,0.00024940266,0.00034122283,0.006795186,0.78578097,0.08065045,0.0051436187,0.1191682],"study_design_scores_gemma":[0.0000573752,0.0012564578,0.0030898396,0.000065824104,0.000037834943,0.00054361054,0.00012236307,0.017012564,0.8536767,0.0065584555,0.11751384,0.00006507498],"about_ca_topic_score_codex":0.0019498838,"about_ca_topic_score_gemma":0.0036489812,"teacher_disagreement_score":0.005183975,"about_ca_system_score_codex":0.0019656229,"about_ca_system_score_gemma":0.0010114253,"threshold_uncertainty_score":0.01734209},"labels":[],"label_agreement":null},{"id":"W4399368960","doi":"10.21428/d82e957c.0941aa68","title":"BACS: Background Aware Continual Semantic Segmentation","year":2024,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Segmentation; Computer science; Artificial intelligence; Natural language processing","score_opus":0.015979279203425997,"score_gpt":0.25662749321657363,"score_spread":0.24064821401314762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399368960","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054736346,0.0010092154,0.9192338,0.00022905496,0.00019018738,0.0001254383,0.00084613496,0.019528504,0.0041012075],"genre_scores_gemma":[0.4248479,0.0005526233,0.5610131,0.00042075614,0.00011231988,0.00011459255,0.0038870706,0.0013893239,0.007662305],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994438,0.0000479493,0.000018453253,0.00020303894,0.00020125187,0.00008542859],"domain_scores_gemma":[0.99930584,0.00015760916,0.00007789832,0.00016742213,0.0002319897,0.00005926305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067633356,0.0012660011,0.0009764852,0.0016182269,0.00053808355,0.0012756523,0.0023052217,0.0011600483,0.0029039006],"category_scores_gemma":[0.0013975711,0.00047568607,0.00088842394,0.0011217255,0.0009776973,0.0016355116,0.0020943955,0.0013298151,0.0020995082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000836982,0.0002657042,0.0028867633,0.00028555744,0.00011942672,0.00028339602,0.00022235037,0.077206716,0.08775029,0.007058222,0.014322148,0.8087625],"study_design_scores_gemma":[0.000027310829,0.00016143038,0.0016421565,0.000028168202,0.00003918234,0.00027607326,0.00007557349,0.9243807,0.05501195,0.0096623795,0.008654576,0.000040452884],"about_ca_topic_score_codex":0.0059501748,"about_ca_topic_score_gemma":0.013751294,"teacher_disagreement_score":0.0059501748,"about_ca_system_score_codex":0.00096193666,"about_ca_system_score_gemma":0.0013333121,"threshold_uncertainty_score":0.011831105},"labels":[],"label_agreement":null},{"id":"W4399682532","doi":"10.1007/s11053-024-10360-2","title":"Iron Ore Price Forecast based on a Multi-Echelon Tandem Learning Model","year":2024,"lang":"en","type":"article","venue":"Natural Resources Research","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Iron ore; Volatility (finance); Deep learning; Blast furnace; Convolutional neural network; Liberian dollar; Computer science; Artificial intelligence; Econometrics; Economics; Metallurgy; Finance","score_opus":0.0633506225127071,"score_gpt":0.34858532892087124,"score_spread":0.2852347064081642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399682532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80722433,0.0005607926,0.18193439,0.0009908071,0.00019983276,0.00003402453,0.0009961411,0.0007097394,0.0073499233],"genre_scores_gemma":[0.99384236,0.000074622556,0.0036455167,0.000036795067,0.00003159549,0.000009505115,0.00029167582,0.000009644841,0.0020582424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999777,0.00002839024,0.000014005791,0.00008930536,0.00004470387,0.000046564935],"domain_scores_gemma":[0.99945706,0.00026525903,0.000078874815,0.000033395467,0.00012857007,0.000036803394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053364376,0.0004990182,0.0011411258,0.00044615328,0.00032729554,0.0008280322,0.0009569684,0.0011983059,0.0020160568],"category_scores_gemma":[0.0014118246,0.00036569842,0.00060992345,0.0005953338,0.0003710093,0.0013067418,0.00040426195,0.0009951896,0.00038584688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010389046,0.000039603317,0.0017212351,0.00001189662,0.000025226658,0.000051807725,0.000007074353,0.98717135,0.00046035784,0.0006380957,0.00049661734,0.009272832],"study_design_scores_gemma":[0.0000025071054,0.0000034633078,0.00020337907,3.6718242e-7,0.0000023923285,0.0000021005483,9.863267e-7,0.9995468,0.00004416328,0.00017685101,0.000015355026,0.0000015173146],"about_ca_topic_score_codex":0.024076309,"about_ca_topic_score_gemma":0.01706235,"teacher_disagreement_score":0.024076309,"about_ca_system_score_codex":0.00073149014,"about_ca_system_score_gemma":0.0008584191,"threshold_uncertainty_score":0.047872365},"labels":[],"label_agreement":null},{"id":"W4399777318","doi":"10.1155/2024/1364778","title":"Preparation and Antifiltration Performance of Organic Zirconium Crosslinker for Guar Gum‐Fracturing Fluid","year":2024,"lang":"en","type":"article","venue":"Geofluids","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"Ministry of Education of the People's Republic of China","keywords":"Fracturing fluid; Guar gum; Zirconium; Geology; Guar; Chemical engineering; Materials science; Petroleum engineering; Geochemistry; Chemistry; Metallurgy; Engineering; Food science","score_opus":0.008674293778559323,"score_gpt":0.24728945965960922,"score_spread":0.2386151658810499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399777318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959157,0.0004609045,0.0032794676,0.000016730419,0.000009360039,0.000009225794,0.00004373455,0.000044214477,0.0002206991],"genre_scores_gemma":[0.99380153,0.0004551775,0.005112627,0.000009332681,0.0000055003616,0.0000137078605,0.000086825174,0.000015697251,0.000499703],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998672,0.000019613886,0.000013624105,0.000031187017,0.000043547643,0.000024891246],"domain_scores_gemma":[0.9998685,0.000030032315,0.00006351078,0.000007158665,0.000016973745,0.000013864246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025384472,0.00033014707,0.00018395254,0.0002999084,0.00014666912,0.00016021474,0.00018235965,0.00024420998,0.0004104569],"category_scores_gemma":[0.00035987026,0.000100503414,0.00023839007,0.00019488299,0.00015337537,0.0003161393,0.00013573469,0.0002030243,0.00009416834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022151393,0.000005951412,0.00006275656,0.000024728239,0.0000014395537,0.000011078787,0.000012771858,0.00006604946,0.9989613,0.0000309531,0.000006228336,0.00079445826],"study_design_scores_gemma":[0.0000018735009,0.0000808237,0.0005455143,0.0000014093968,0.000003797432,0.000013414467,0.0000051931775,0.0004298063,0.99862623,0.0000050026297,0.00028343,0.0000035023074],"about_ca_topic_score_codex":0.00052400463,"about_ca_topic_score_gemma":0.0006676698,"teacher_disagreement_score":0.00052400463,"about_ca_system_score_codex":0.0001899741,"about_ca_system_score_gemma":0.00015916576,"threshold_uncertainty_score":0.0013783574},"labels":[],"label_agreement":null},{"id":"W4400298351","doi":"10.1051/e3sconf/202454301001","title":"Comparative Study of the Rosin-Rammler and Gates-Gaudin-Schuhmann Particle Size Distribution Models for Microwave-Assisted Crushing Analysis","year":2024,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Lembaga Pengelola Dana Pendidikan; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Crusher; Comminution; Microwave; Materials science; Particle-size distribution; Particle size; Composite material; Mineralogy; Nuclear engineering; Metallurgy; Chemistry; Physics","score_opus":0.048224498408439856,"score_gpt":0.28346352342395187,"score_spread":0.23523902501551203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400298351","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.469741,0.003040471,0.51583076,0.00043393843,0.000070830596,0.0003310552,0.0004947209,0.0010817092,0.008975615],"genre_scores_gemma":[0.95219743,0.00084565766,0.04411336,0.00005830782,0.000030036945,0.00018201265,0.00032956505,0.00014529884,0.0020984132],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948263,0.00015358602,0.00003422111,0.00010220229,0.00017320969,0.00005409397],"domain_scores_gemma":[0.99793315,0.0013383761,0.00027644564,0.00011320297,0.00028522775,0.000053521053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018854656,0.00067473494,0.0005198811,0.0010888235,0.0002457136,0.0009947597,0.0012699921,0.0008148724,0.000521002],"category_scores_gemma":[0.00504322,0.0002823766,0.00089737185,0.0005149286,0.00035323514,0.00087472855,0.00044436214,0.0005344004,0.0002753303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004556329,0.00021837544,0.019211235,0.00027292816,0.00016369778,0.0002541269,0.00033901216,0.86205375,0.010391288,0.021719381,0.0016623049,0.08325836],"study_design_scores_gemma":[0.000004780442,0.000036884718,0.0016884374,0.000006693814,0.000010963201,0.00003322423,0.000016841219,0.99583447,0.00129502,0.0005869008,0.00047314327,0.0000126013465],"about_ca_topic_score_codex":0.0099724345,"about_ca_topic_score_gemma":0.006903737,"teacher_disagreement_score":0.0099724345,"about_ca_system_score_codex":0.0013442994,"about_ca_system_score_gemma":0.0009670108,"threshold_uncertainty_score":0.019828737},"labels":[],"label_agreement":null},{"id":"W4400476023","doi":"10.1002/cjce.25390","title":"Development of a <scp>MIMO</scp> fuzzy inference system— <scp>PI</scp> controller for a closed‐circuit grinding ball mill circuit","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Grinding; Control theory (sociology); PID controller; Pi; MIMO; Computer science; Control engineering; Engineering; Mathematics; Mechanical engineering; Electronic engineering; Artificial intelligence; Temperature control","score_opus":0.01911343103517147,"score_gpt":0.2092263264627156,"score_spread":0.19011289542754414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400476023","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03450579,0.00013821395,0.9511137,0.00009997935,0.0001260278,0.0003266782,0.00015588438,0.0052119005,0.008321735],"genre_scores_gemma":[0.6832236,0.000094368224,0.30892825,0.00011307308,0.00003541928,0.00035011827,0.00031162356,0.000086774315,0.0068567717],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996152,0.000038320235,0.000025891924,0.000107557265,0.00018562778,0.000027396842],"domain_scores_gemma":[0.999619,0.0000803404,0.00002242089,0.00004992118,0.0002092169,0.000019061727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005176113,0.00032332182,0.00037326966,0.00029370026,0.0004856701,0.0007938093,0.0010783909,0.0005743095,0.0043772715],"category_scores_gemma":[0.0007560758,0.00027669314,0.00033512642,0.00018500864,0.00026916023,0.00035080026,0.00032277883,0.00061311823,0.0011565199],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005658691,0.00040764126,0.002731843,0.00053595233,0.00016748671,0.0005849129,0.00032513944,0.26568958,0.22833861,0.009608982,0.0065997434,0.48444417],"study_design_scores_gemma":[0.00007320462,0.00024404052,0.0014559726,0.000028267421,0.00004394818,0.00015437837,0.00002432346,0.94099665,0.047600485,0.0007638918,0.008587491,0.000027274988],"about_ca_topic_score_codex":0.007879271,"about_ca_topic_score_gemma":0.005309633,"teacher_disagreement_score":0.007879271,"about_ca_system_score_codex":0.00047571442,"about_ca_system_score_gemma":0.00091220863,"threshold_uncertainty_score":0.015666783},"labels":[],"label_agreement":null},{"id":"W4400641020","doi":"10.22541/essoar.172108357.76952881/v1","title":"Bayesian linear regression with Gaussian mixture likelihood for outlier detection of metal grades in Porphyry Cu deposit","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"First Quantum Minerals; Commonwealth Scientific and Industrial Research Organisation","keywords":"Outlier; Linear regression; Bayesian probability; Gaussian; Regression; Bayesian multivariate linear regression; Statistics; Mixture model; Mathematics; Econometrics; Geology; Computer science; Chemistry","score_opus":0.009626685641520659,"score_gpt":0.23872507537384582,"score_spread":0.22909838973232516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400641020","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12971325,0.0006270857,0.8659295,0.00068632077,0.000044794153,0.00006941819,0.00043070863,0.0014457296,0.0010532159],"genre_scores_gemma":[0.8915806,0.00032527267,0.10218587,0.00019808665,0.00006146149,0.00013248753,0.0012752532,0.00022118614,0.0040197847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986571,0.0005797628,0.000065519635,0.00035120506,0.0001920198,0.00015434921],"domain_scores_gemma":[0.9963237,0.0024297566,0.0005313535,0.00020391436,0.00041535756,0.00009591194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003294288,0.0009249142,0.001165697,0.0011001371,0.0005378646,0.0012037319,0.002186084,0.0015145816,0.0014908669],"category_scores_gemma":[0.00970547,0.0007693377,0.0014841344,0.0011907825,0.0008560944,0.0011441038,0.001232584,0.0019564051,0.0005919834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002595108,0.00011397418,0.01961442,0.00011047705,0.0001469617,0.0002231751,0.00016955176,0.92012614,0.002180326,0.0078811785,0.0015403032,0.047633883],"study_design_scores_gemma":[0.0000065059426,0.0000121714165,0.0011219396,0.0000050033773,0.00001000343,0.000013744515,0.00001074091,0.996497,0.00022168882,0.0018740734,0.00021513885,0.000012098681],"about_ca_topic_score_codex":0.032999646,"about_ca_topic_score_gemma":0.021491298,"teacher_disagreement_score":0.032999646,"about_ca_system_score_codex":0.0012459329,"about_ca_system_score_gemma":0.0013276973,"threshold_uncertainty_score":0.06561512},"labels":[],"label_agreement":null},{"id":"W4400644530","doi":"10.1007/978-3-031-52715-9_5","title":"On Support Vector Regression to Predict Poisson’s Ratio and Young’s Modulus of Reservoir Rock","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Poisson regression; Poisson distribution; Modulus; Poisson's ratio; Geology; Regression; Statistics; Mathematics; Geotechnical engineering; Sociology; Geometry; Demography","score_opus":0.014184090664267993,"score_gpt":0.23085884528722336,"score_spread":0.21667475462295538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400644530","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030689663,0.0012998453,0.99024767,0.00022029142,0.00021854104,0.000023165992,0.00016697052,0.001091317,0.0036633464],"genre_scores_gemma":[0.106870614,0.004614143,0.8125305,0.0005106643,0.00092954864,0.00023139508,0.0021925226,0.0009115951,0.07120906],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996629,0.000079659636,0.000023490371,0.00007737284,0.00013928453,0.000017367756],"domain_scores_gemma":[0.9989341,0.0007620771,0.000018872997,0.00009542862,0.0001805709,0.000009001918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008010997,0.0010568862,0.0007432955,0.00044997915,0.00024325233,0.0006861185,0.0013997117,0.00092975737,0.0058023226],"category_scores_gemma":[0.002336843,0.00050320267,0.0007382378,0.0009356394,0.00053822616,0.0013246395,0.0007283943,0.0016744998,0.003197932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057177862,0.00012142558,0.0005466051,0.00012075384,0.00008465343,0.00010825378,0.00005407217,0.3361659,0.0046943114,0.027378667,0.02517973,0.6054885],"study_design_scores_gemma":[0.0000041768626,0.000019129207,0.00030707073,0.0000155791,0.000010733276,0.00003130646,0.000009479222,0.9696233,0.0021498045,0.019984348,0.007831808,0.000013204863],"about_ca_topic_score_codex":0.009258254,"about_ca_topic_score_gemma":0.009559611,"teacher_disagreement_score":0.009258254,"about_ca_system_score_codex":0.00039317322,"about_ca_system_score_gemma":0.00030623403,"threshold_uncertainty_score":0.01941073},"labels":[],"label_agreement":null},{"id":"W4400726018","doi":"10.2139/ssrn.4897819","title":"Xrf Based Particle Sorting: Part 1 a Comparative Evaluation of Feature Extraction Methods for Data Pre-Processing","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital; University of Toronto","funders":"","keywords":"Sorting; Particle (ecology); Extraction (chemistry); Computer science; Feature (linguistics); Data extraction; Feature extraction; Artificial intelligence; Pattern recognition (psychology); Data mining; Chromatography; Algorithm; Chemistry; Geology","score_opus":0.13473823723747025,"score_gpt":0.4509627114959391,"score_spread":0.31622447425846884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400726018","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28419906,0.019684486,0.6749484,0.00054872775,0.00046521093,0.00094765826,0.0026968017,0.009306961,0.0072027277],"genre_scores_gemma":[0.29894754,0.009005536,0.675762,0.00021320027,0.00015955236,0.0003485084,0.003964084,0.0011234828,0.010476112],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981912,0.00023090876,0.00016292788,0.00024123244,0.0010668699,0.00010692575],"domain_scores_gemma":[0.99652916,0.0014791217,0.00020606953,0.0002957169,0.0014349086,0.000054942517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029368852,0.001268991,0.0013485561,0.0038246145,0.0006125946,0.0020469364,0.0013834521,0.0012631315,0.0049078385],"category_scores_gemma":[0.0044676336,0.00048337565,0.0010314716,0.0031195425,0.00042005716,0.0015465027,0.00077931,0.000519948,0.0020953792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021663907,0.00036245788,0.006232277,0.001738098,0.0003002382,0.000104784536,0.00021464188,0.0052754064,0.17200433,0.00072816364,0.0030443321,0.8078288],"study_design_scores_gemma":[0.00028604057,0.002351978,0.06969977,0.00022855504,0.00063670415,0.0013350946,0.0006223866,0.15809806,0.73471403,0.0016549724,0.030115519,0.00025687602],"about_ca_topic_score_codex":0.0033518411,"about_ca_topic_score_gemma":0.003763411,"teacher_disagreement_score":0.0049078385,"about_ca_system_score_codex":0.0005164246,"about_ca_system_score_gemma":0.00072776945,"threshold_uncertainty_score":0.016418397},"labels":[],"label_agreement":null},{"id":"W4400726418","doi":"10.2139/ssrn.4897818","title":"Xrf Based Particle Sorting: Part 2 a Performance Evaluation of Ore Classification Modeling with Input Variables from Feature Extraction Methods","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital; University of Toronto","funders":"","keywords":"Sorting; Extraction (chemistry); Feature (linguistics); Particle (ecology); Computer science; Pattern recognition (psychology); Feature extraction; Artificial intelligence; Mining engineering; Algorithm; Engineering; Geology; Chromatography; Chemistry","score_opus":0.047325972608989,"score_gpt":0.3261482895596424,"score_spread":0.2788223169506534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400726418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5127569,0.0021054498,0.467797,0.00035868725,0.0002046179,0.0003535799,0.0015429007,0.011424791,0.0034560324],"genre_scores_gemma":[0.74147475,0.00062463165,0.24921343,0.00011461184,0.000039445084,0.0001995312,0.0027343757,0.00042546933,0.005173805],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991671,0.00016033367,0.000062600724,0.00020617234,0.00031859745,0.000085175714],"domain_scores_gemma":[0.99834466,0.0007255222,0.00010456096,0.00020136363,0.00058540475,0.00003845068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020173073,0.0015305913,0.0014209652,0.0011848994,0.0006128962,0.0016691254,0.001267265,0.0016069731,0.0029482378],"category_scores_gemma":[0.0035962535,0.00039808723,0.001021599,0.0013262086,0.00029637894,0.001221805,0.0006683962,0.00067729363,0.0015319239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034035572,0.00069383637,0.014511578,0.0005062563,0.00044756406,0.00011660173,0.00012490062,0.22340623,0.058898166,0.0006655921,0.0031274538,0.6940983],"study_design_scores_gemma":[0.000044677137,0.0002065389,0.005152835,0.000011485248,0.00005350979,0.0000496933,0.00003459085,0.95225567,0.04122379,0.00019968669,0.0007447127,0.000022780167],"about_ca_topic_score_codex":0.01538346,"about_ca_topic_score_gemma":0.008505857,"teacher_disagreement_score":0.01538346,"about_ca_system_score_codex":0.0008281375,"about_ca_system_score_gemma":0.0009959105,"threshold_uncertainty_score":0.030587792},"labels":[],"label_agreement":null},{"id":"W4400900302","doi":"10.1016/j.oregeorev.2024.106174","title":"Gold occurrence in the footwall of the Lappberget Deposit, Garpenberg Mine, Sweden: Implications for recovery efficiency","year":2024,"lang":"en","type":"article","venue":"Ore Geology Reviews","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Sphalerite; Pyrite; Galena; Electron microprobe; Chalcopyrite; Gangue; Geology; EMPA; Pyrrhotite; Mineralogy; Sulfide minerals; Arsenopyrite; Sulfide; Scanning electron microscope; Geochemistry; Metallurgy; Materials science; Copper","score_opus":0.031844815900486594,"score_gpt":0.2864493011066853,"score_spread":0.2546044852061987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400900302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984609,0.000271867,0.00012966542,0.0000127456915,0.0000027702608,0.000004990218,0.00017121893,0.000017324423,0.00092851475],"genre_scores_gemma":[0.9976736,0.0003346611,0.00055862963,0.000009091437,0.0000025521006,0.0000062402055,0.00017304727,0.000013364134,0.0012289512],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99987555,0.00000519961,0.000011346524,0.00004083726,0.00004515921,0.000021919064],"domain_scores_gemma":[0.9999237,0.000015171884,0.000017828053,0.000004708595,0.000029319328,0.000009185878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113176306,0.0003284709,0.00033381776,0.0019413475,0.00043708543,0.0006904747,0.00025521903,0.00041343019,0.0011027524],"category_scores_gemma":[0.00024517562,0.0002496185,0.0002249146,0.00054616533,0.0003492063,0.0002498347,0.00037649914,0.00011900962,0.0003108312],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007417216,0.00004318873,0.3368538,0.0009069321,0.00015508012,0.0052877,0.0027368192,0.0018875932,0.60456586,0.00029745765,0.00046941996,0.0460544],"study_design_scores_gemma":[0.000009967392,0.000112766524,0.951839,0.00007847194,0.000059439593,0.0018422663,0.001711073,0.0010487041,0.041041546,0.00010595425,0.0021344277,0.000016243435],"about_ca_topic_score_codex":0.016442947,"about_ca_topic_score_gemma":0.035130482,"teacher_disagreement_score":0.016442947,"about_ca_system_score_codex":0.00037105952,"about_ca_system_score_gemma":0.0002748878,"threshold_uncertainty_score":0.03269452},"labels":[],"label_agreement":null},{"id":"W4400902349","doi":"10.1177/25726668241255442","title":"Wet inrush susceptibility assessment at the Deep Ore Zone mine using a random forest machine learning model","year":2024,"lang":"en","type":"article","venue":"Mining Technology Transactions of the Institutions of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Random forest; Inrush current; Mining engineering; Geology; Artificial intelligence; Computer science; Engineering","score_opus":0.0246438569506687,"score_gpt":0.26712568492302674,"score_spread":0.24248182797235804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400902349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7855076,0.00047118086,0.2103496,0.00038930526,0.000054760956,0.00011031539,0.00071859354,0.0005129504,0.0018856775],"genre_scores_gemma":[0.9799523,0.00010375034,0.018500714,0.000034817163,0.000015352995,0.000055032957,0.0004371953,0.000010245173,0.000890637],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997359,0.00006709124,0.000019687088,0.0000845268,0.000032684973,0.0000601449],"domain_scores_gemma":[0.9991241,0.0005499798,0.00009902035,0.000028045331,0.00016480655,0.00003404214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013562345,0.0006616363,0.0006633413,0.0007778099,0.00029885775,0.00065075635,0.0010109749,0.000915322,0.00090516446],"category_scores_gemma":[0.0018610619,0.0002277365,0.001014398,0.0004969306,0.00025994368,0.00047418734,0.00035543455,0.0007305016,0.00021021736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094470495,0.00010920304,0.0126410015,0.000031315943,0.000042989464,0.000112132904,0.000031123902,0.96406573,0.00075351464,0.00037042997,0.0004018712,0.021346264],"study_design_scores_gemma":[0.0000019652728,0.000015231887,0.0009622889,0.000002654818,0.000004953311,0.0000069507787,0.000006904842,0.9987494,0.000073534655,0.00013993258,0.000033097218,0.0000030910683],"about_ca_topic_score_codex":0.026961306,"about_ca_topic_score_gemma":0.016929487,"teacher_disagreement_score":0.026961306,"about_ca_system_score_codex":0.0006339557,"about_ca_system_score_gemma":0.0008166428,"threshold_uncertainty_score":0.053608716},"labels":[],"label_agreement":null},{"id":"W4400970488","doi":"10.29173/ikc4130","title":"Exploring for concealed kimberlites: increasing discovery success with soil microbial community fingerprints","year":2024,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Kimberlite; Geology; Earth science; Computer science; Mining engineering; Geochemistry","score_opus":0.0667025645760314,"score_gpt":0.2523327439945106,"score_spread":0.1856301794184792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400970488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98090655,0.002332029,0.011837898,0.00042351458,0.000058279787,0.000071494054,0.0005806755,0.00030943262,0.0034801133],"genre_scores_gemma":[0.960113,0.0027772952,0.031913303,0.00026117044,0.000026500855,0.000038914415,0.00062617165,0.000086540655,0.004156967],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992774,0.000067122724,0.000030693765,0.00017947322,0.0003372416,0.00010797675],"domain_scores_gemma":[0.9989526,0.0002857875,0.00022930474,0.000173593,0.00022765656,0.00013087725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009712365,0.0004927548,0.00041110654,0.0009614721,0.00044008784,0.0021679252,0.0005023683,0.0008503016,0.0019797704],"category_scores_gemma":[0.0021005624,0.00025723787,0.00034731498,0.0007554934,0.00046719596,0.00154478,0.0011871131,0.0006981931,0.0006656906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003467603,0.00013512773,0.016325902,0.00034388335,0.00008063484,0.00021031997,0.00022305436,0.00042241433,0.9101521,0.0006213878,0.00034113435,0.070797265],"study_design_scores_gemma":[0.000027135604,0.00088134065,0.027577512,0.00008311188,0.00014918296,0.0004772261,0.0007527091,0.0033204511,0.9519434,0.0008571637,0.013890283,0.000040394665],"about_ca_topic_score_codex":0.0007045782,"about_ca_topic_score_gemma":0.003445955,"teacher_disagreement_score":0.0021679252,"about_ca_system_score_codex":0.00033345292,"about_ca_system_score_gemma":0.00066538487,"threshold_uncertainty_score":0.00662297},"labels":[],"label_agreement":null},{"id":"W4401006404","doi":"10.1093/mam/ozae044.170","title":"Framework for Generative Artificial Intelligence Enhanced Microscopy Image Analysis Automation of Metallic Materials: a Case Study","year":2024,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Generative grammar; Automation; Materials science; Artificial intelligence; Microscopy; Nanotechnology; Computer science; Engineering; Mechanical engineering; Physics; Optics","score_opus":0.024574608658518328,"score_gpt":0.3370744650264528,"score_spread":0.3124998563679344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401006404","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009108221,0.0001486414,0.9777461,0.00022009168,0.00002472454,0.00017447569,0.00010634406,0.006497422,0.005974069],"genre_scores_gemma":[0.21873403,0.00020171961,0.77123153,0.000107628635,0.000022617187,0.00015865198,0.000530516,0.0010821932,0.007931211],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884194,0.00029461394,0.000056312892,0.0002025273,0.00049539073,0.000109241526],"domain_scores_gemma":[0.998533,0.0006553264,0.000066478446,0.0003673765,0.0002900717,0.000087766784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016906317,0.0006385244,0.0006055364,0.0009512079,0.0008021856,0.0026365058,0.0023917286,0.00153532,0.0075558145],"category_scores_gemma":[0.003017473,0.00048221956,0.0015403954,0.00053975557,0.001197619,0.0011517099,0.002784577,0.0011659153,0.0021427793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003336224,0.0006096497,0.0046713944,0.000859648,0.00020833164,0.005323246,0.0035495178,0.18957587,0.060069762,0.18878749,0.014188678,0.53182286],"study_design_scores_gemma":[0.000039954346,0.00010181849,0.0009025012,0.00009831744,0.0000688325,0.0016559596,0.00029990173,0.8701992,0.027046848,0.04039044,0.05913779,0.000058482263],"about_ca_topic_score_codex":0.0034391643,"about_ca_topic_score_gemma":0.004757927,"teacher_disagreement_score":0.0075558145,"about_ca_system_score_codex":0.000739685,"about_ca_system_score_gemma":0.0012257291,"threshold_uncertainty_score":0.02527672},"labels":[],"label_agreement":null},{"id":"W4401479324","doi":"10.56952/arma-2024-1191","title":"Development of a Non-Destructive Stress Measurement Technique with Applications in Deep Mining Using Distributed Sensing","year":2024,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Computer science; Stress (linguistics)","score_opus":0.021019618240241643,"score_gpt":0.24293411843145718,"score_spread":0.22191450019121553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401479324","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08438798,0.00047082087,0.9110914,0.00031767684,0.00016354956,0.00017974402,0.00017298675,0.0009025852,0.0023132188],"genre_scores_gemma":[0.31756535,0.0002950486,0.67998534,0.00015587299,0.00006545343,0.00018098367,0.00009800652,0.000049311428,0.0016046176],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942905,0.00008224919,0.000026571175,0.00017032404,0.000264025,0.000027733506],"domain_scores_gemma":[0.99904555,0.0002732959,0.00014514524,0.00016186132,0.00032463885,0.00004948341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007931296,0.0006743123,0.00031931011,0.00059660454,0.00023452168,0.0005200779,0.0009411725,0.00090425677,0.0012254904],"category_scores_gemma":[0.0009275618,0.00034860693,0.00027838693,0.000692479,0.00048244995,0.0010051831,0.0008501549,0.00067075534,0.00043896647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009130393,0.00016387348,0.004163866,0.00020076073,0.000024922381,0.00016685129,0.00026111945,0.004571117,0.7813887,0.0019374858,0.0007082299,0.20632166],"study_design_scores_gemma":[0.00009308534,0.0017043739,0.016092934,0.0000942802,0.00010262293,0.002018947,0.000452488,0.30080596,0.65287316,0.004963011,0.020590669,0.00020838827],"about_ca_topic_score_codex":0.00049901416,"about_ca_topic_score_gemma":0.0011567335,"teacher_disagreement_score":0.0012254904,"about_ca_system_score_codex":0.0003091823,"about_ca_system_score_gemma":0.0004304875,"threshold_uncertainty_score":0.004194498},"labels":[],"label_agreement":null},{"id":"W4401719158","doi":"10.1109/icops58192.2024.10627194","title":"Adaptive Learning with Logistic Regression for soil classification with LIBS","year":2024,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Regina","funders":"Alberta Innovates","keywords":"Logistic regression; Computer science; Artificial intelligence; Machine learning; Regression; Logistic model tree; Statistics; Mathematics","score_opus":0.04481421093476595,"score_gpt":0.2599481282664443,"score_spread":0.21513391733167836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401719158","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06848194,0.0028469488,0.8928413,0.0010867513,0.00036344718,0.00019452776,0.0015929134,0.029460583,0.0031315738],"genre_scores_gemma":[0.5404678,0.0011851707,0.43694782,0.0009881058,0.00034193255,0.00048819228,0.008329427,0.0013042755,0.009947257],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984478,0.00051114976,0.00009315212,0.00046764823,0.00032438798,0.00015586527],"domain_scores_gemma":[0.9979361,0.0008729328,0.00021350845,0.00036572598,0.00052407174,0.00008770454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030023628,0.0021771726,0.0013230477,0.0019171962,0.000602782,0.0014134033,0.0030602757,0.0015487574,0.0030716544],"category_scores_gemma":[0.0071946704,0.00056744355,0.0014520737,0.0017432037,0.00070723885,0.0016594905,0.0023503555,0.0033051167,0.0045162644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005687021,0.00053003,0.010868848,0.0003587794,0.00036755254,0.0002656495,0.00015682637,0.22145449,0.012869061,0.0032059879,0.024972735,0.7243813],"study_design_scores_gemma":[0.000015468706,0.000048855232,0.00074645784,0.00002118976,0.000016245762,0.00006753573,0.000037644324,0.9886467,0.004639992,0.0035375447,0.0022021453,0.00002034021],"about_ca_topic_score_codex":0.0037633379,"about_ca_topic_score_gemma":0.0037080701,"teacher_disagreement_score":0.0037633379,"about_ca_system_score_codex":0.00080171874,"about_ca_system_score_gemma":0.0011564554,"threshold_uncertainty_score":0.0158782},"labels":[],"label_agreement":null},{"id":"W4401811087","doi":"10.21203/rs.3.rs-4805227/v1","title":"Synergizing AI with Geology: Exploring VisionTransformers for Rock Classification","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cambrian College","funders":"","keywords":"Geology","score_opus":0.13154656835414494,"score_gpt":0.3826730994108806,"score_spread":0.25112653105673566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401811087","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033438276,0.0006806604,0.95942724,0.00036347273,0.00005773779,0.00004808694,0.00015763311,0.0016772655,0.0041495836],"genre_scores_gemma":[0.524002,0.0007315419,0.46740958,0.00023571464,0.000119656404,0.00008103386,0.00057998765,0.00032788716,0.0065125464],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996294,0.000071525625,0.000016684844,0.00013048992,0.00010532011,0.00004657467],"domain_scores_gemma":[0.99934655,0.000286922,0.00006844142,0.00013677406,0.00012068497,0.000040609175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007257236,0.00064540835,0.0005430917,0.001168143,0.00028135942,0.0011749464,0.00089457433,0.0006556476,0.003721355],"category_scores_gemma":[0.0016539696,0.00030724177,0.00088893913,0.001229328,0.00060672854,0.0016710088,0.00094944,0.0008313064,0.0011330016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018689783,0.00020978828,0.0015269003,0.00013869094,0.00007246211,0.00007907724,0.00012836544,0.08022194,0.060185984,0.010289287,0.002607527,0.84435314],"study_design_scores_gemma":[0.000012062347,0.00008601432,0.0011076683,0.000010294022,0.00002047562,0.000052104144,0.000052201973,0.9634518,0.01203993,0.020164844,0.0029925432,0.00001019194],"about_ca_topic_score_codex":0.0036102643,"about_ca_topic_score_gemma":0.005091036,"teacher_disagreement_score":0.003721355,"about_ca_system_score_codex":0.00043546574,"about_ca_system_score_gemma":0.00062189286,"threshold_uncertainty_score":0.012449205},"labels":[],"label_agreement":null},{"id":"W4401933289","doi":"10.18280/ijdne.190438","title":"Optimizing Mineral Extraction in Peru: Integrating Geometallurgical Planning with Mining 4.0 Technologies","year":2024,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Extraction (chemistry); Engineering; Environmental science; Chemistry","score_opus":0.011777284856248156,"score_gpt":0.263930897533554,"score_spread":0.2521536126773058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401933289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81459373,0.00078755413,0.17003389,0.0007356015,0.000013165982,0.00015635848,0.00087863207,0.0020474615,0.010753512],"genre_scores_gemma":[0.92603546,0.00042841982,0.07109642,0.000033782842,0.0000045555194,0.00008671234,0.00067581853,0.00011703181,0.0015217792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997023,0.000088868546,0.000016376314,0.00006284907,0.0000856371,0.00004394888],"domain_scores_gemma":[0.9995252,0.00021300232,0.000082203944,0.000057320758,0.00010241086,0.00001988442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006649731,0.00062071596,0.00041146725,0.0010670425,0.00042027404,0.0012356861,0.0005503223,0.00045537818,0.0019156804],"category_scores_gemma":[0.0014973718,0.00032695747,0.0005061214,0.0014553851,0.00036589877,0.0012107395,0.0009942089,0.00027812904,0.00047960985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032026143,0.00023054305,0.08660306,0.0006456448,0.00012022491,0.00044079966,0.0005624726,0.55930156,0.029307796,0.00408585,0.001646749,0.31673512],"study_design_scores_gemma":[0.00004127818,0.0005639227,0.056708135,0.0000716427,0.00009352136,0.00018509303,0.0011094959,0.906845,0.017609539,0.0064073685,0.010296739,0.00006824249],"about_ca_topic_score_codex":0.013555658,"about_ca_topic_score_gemma":0.029388446,"teacher_disagreement_score":0.013555658,"about_ca_system_score_codex":0.0007382797,"about_ca_system_score_gemma":0.0017350146,"threshold_uncertainty_score":0.026953459},"labels":[],"label_agreement":null},{"id":"W4401966207","doi":"10.3997/2214-4609.202437099","title":"Storage Capacity of H2 in a Brazilian Field Limited by Cap Rock Capillary Threshold and Fracturing Pressures","year":2024,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Petroleum engineering; Hydraulic fracturing; Geology; Petrology; Environmental science; Geotechnical engineering","score_opus":0.0086082758683055,"score_gpt":0.2119347150377232,"score_spread":0.2033264391694177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401966207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988255,0.000055619883,0.00006690987,0.000018805693,0.0000014299341,0.0000022497757,0.00014955513,0.000004666421,0.0008752506],"genre_scores_gemma":[0.9995042,0.000028771607,0.000043955555,0.0000030515448,0.0000010111333,0.0000015354656,0.000075321426,0.0000015415753,0.00034068426],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999013,0.0000063413327,0.0000031850118,0.00003090638,0.000024763689,0.0000334657],"domain_scores_gemma":[0.999754,0.00006450268,0.000023804188,0.000014675465,0.00010071031,0.000042241423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023048386,0.00016523221,0.00021407689,0.00057279627,0.0006460875,0.00051143655,0.0003882543,0.00024366901,0.001112237],"category_scores_gemma":[0.0003349552,0.00011555856,0.00015149484,0.00039762227,0.00046720443,0.0003934032,0.00020310505,0.00022007106,0.00014751853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002783843,0.00032789394,0.16809554,0.00017099478,0.00007047033,0.0010712807,0.0012056961,0.006946045,0.7920837,0.001553307,0.000969512,0.024721868],"study_design_scores_gemma":[0.00016954879,0.000989348,0.5635129,0.000039486535,0.00013848783,0.00040347927,0.0032140438,0.025048831,0.39933327,0.0009941291,0.0060894187,0.000067110916],"about_ca_topic_score_codex":0.119013034,"about_ca_topic_score_gemma":0.10012628,"teacher_disagreement_score":0.119013034,"about_ca_system_score_codex":0.0012657564,"about_ca_system_score_gemma":0.00091403344,"threshold_uncertainty_score":0.23664063},"labels":[],"label_agreement":null},{"id":"W4402084225","doi":"10.1016/j.rockmb.2024.100146","title":"Exploring machine learning techniques for open stope stability prediction: A comparative study and feature importance analysis","year":2024,"lang":"en","type":"article","venue":"Rock Mechanics Bulletin","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stability (learning theory); Feature (linguistics); Computer science; Machine learning; Artificial intelligence","score_opus":0.07562829796621065,"score_gpt":0.2869679724636073,"score_spread":0.21133967449739663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402084225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5030893,0.012929497,0.47399524,0.0018315004,0.00016536422,0.00026912958,0.0005570042,0.0009588198,0.006204111],"genre_scores_gemma":[0.92362195,0.0018688347,0.07303153,0.000078573714,0.000089451365,0.00007113006,0.0006156251,0.00003134049,0.0005916306],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980217,0.00078023993,0.00014558123,0.0003019679,0.00064618874,0.00010429434],"domain_scores_gemma":[0.98842305,0.009163146,0.00045954337,0.0004523192,0.0013753151,0.00012663865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050301463,0.00090045476,0.0008889761,0.0050708004,0.0003803884,0.0012894247,0.000745084,0.0008363043,0.0009965441],"category_scores_gemma":[0.011020055,0.00016096489,0.0014900175,0.0030463703,0.00043768517,0.002217952,0.00064098253,0.0009638237,0.00023130148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004100788,0.0005117962,0.07753516,0.00056308054,0.0004582069,0.00020802613,0.00037592082,0.15067628,0.00163774,0.0064566922,0.0027640397,0.75840294],"study_design_scores_gemma":[0.000016604232,0.00024621922,0.017268108,0.000080411024,0.00012172878,0.00010230473,0.000213307,0.9747122,0.001165923,0.00455112,0.0014998227,0.000022166598],"about_ca_topic_score_codex":0.0034205222,"about_ca_topic_score_gemma":0.002583912,"teacher_disagreement_score":0.0050708004,"about_ca_system_score_codex":0.00080022425,"about_ca_system_score_gemma":0.0008055791,"threshold_uncertainty_score":0.026602268},"labels":[],"label_agreement":null},{"id":"W4402229864","doi":"10.1080/08827508.2024.2395828","title":"A Multi-Method Machine Learning Framework for Simulating Power Dynamics in an Iron Ore Cone Crusher Plant","year":2024,"lang":"en","type":"article","venue":"Mineral Processing and Extractive Metallurgy Review","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Crusher; Cone (formal languages); Iron ore; Computer science; Power station; Dynamics (music); Power (physics); Process engineering; Metallurgy; Materials science; Engineering; Algorithm; Physics","score_opus":0.03514292416368519,"score_gpt":0.33801936744519423,"score_spread":0.30287644328150903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402229864","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13913698,0.00056238647,0.85423994,0.00039103327,0.00008397329,0.00014558656,0.00028737358,0.0009334024,0.0042193145],"genre_scores_gemma":[0.89918274,0.00019431829,0.096803814,0.00008084763,0.000028457676,0.00030079187,0.00026161355,0.0000533701,0.0030940636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998368,0.000058216705,0.000009445319,0.000041708096,0.000031858654,0.00002195782],"domain_scores_gemma":[0.99967897,0.00019149428,0.000028118286,0.000009259384,0.00007658095,0.000015564196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007580763,0.00072698935,0.00056321936,0.00041584566,0.00045229276,0.0007722022,0.0011023186,0.0013732022,0.0014012586],"category_scores_gemma":[0.0011502128,0.00041574024,0.00085899764,0.00035715938,0.0003968683,0.00050198083,0.00051402533,0.0010177051,0.0001894208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000150954465,0.000014416571,0.00031920525,0.000013269167,0.000008665454,0.00001851421,0.0000127470885,0.9946839,0.0003314936,0.0004597737,0.00008761844,0.0040353886],"study_design_scores_gemma":[0.0000010589398,0.000004344552,0.0000389417,9.5318626e-7,7.9956226e-7,0.000001132483,0.0000015985504,0.999742,0.00005273738,0.00011364136,0.000041657,0.0000011906753],"about_ca_topic_score_codex":0.033808947,"about_ca_topic_score_gemma":0.023403957,"teacher_disagreement_score":0.033808947,"about_ca_system_score_codex":0.00092192803,"about_ca_system_score_gemma":0.0011705451,"threshold_uncertainty_score":0.067224324},"labels":[],"label_agreement":null},{"id":"W4402439019","doi":"10.11159/mmme24.117","title":"Application of multiple linear regression (MLR) analysis on the concentration of chromite plant tailings by a shaking table","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Johannesburg; National Research Foundation","keywords":"Chromite; Tailings; Linear regression; Regression; Table (database); Regression analysis; Geology; Mathematics; Statistics; Computer science; Metallurgy; Data mining; Materials science; Geochemistry","score_opus":0.005634028656117747,"score_gpt":0.20086302994899802,"score_spread":0.19522900129288026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402439019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60941833,0.0022045034,0.3758483,0.00021147676,0.00018218973,0.00047726178,0.00199731,0.0040371134,0.005623537],"genre_scores_gemma":[0.789305,0.001097534,0.20285836,0.00015767898,0.000026739437,0.0003513936,0.00088520226,0.0002740429,0.005044089],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984409,0.00017965952,0.00008482736,0.00049414736,0.00073379104,0.000066583474],"domain_scores_gemma":[0.99880695,0.00041760795,0.00023666558,0.000092866605,0.0004259237,0.00001992864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001484388,0.0010385821,0.0009032105,0.0012961352,0.00031635788,0.00052254397,0.00075415586,0.00077513943,0.0013049919],"category_scores_gemma":[0.002518762,0.00040146956,0.0012139671,0.0014203307,0.00025147386,0.0005413373,0.00035447592,0.0009583357,0.0011366653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010238425,0.00033202817,0.06871654,0.0009496574,0.0004588944,0.0004275904,0.0004583149,0.022947015,0.6889555,0.00048639288,0.0011319515,0.21411237],"study_design_scores_gemma":[0.000027710594,0.0011910225,0.062238775,0.000054627013,0.00033800938,0.00040262443,0.00035228,0.28496775,0.6455928,0.00042085888,0.004260869,0.00015258031],"about_ca_topic_score_codex":0.0063389665,"about_ca_topic_score_gemma":0.011720993,"teacher_disagreement_score":0.0063389665,"about_ca_system_score_codex":0.00056052645,"about_ca_system_score_gemma":0.00066538993,"threshold_uncertainty_score":0.012604117},"labels":[],"label_agreement":null},{"id":"W4402474880","doi":"10.1007/s12145-024-01478-1","title":"A framework for microscopic grains segmentation and Classification for Minerals Recognition using hybrid features","year":2024,"lang":"en","type":"article","venue":"Earth Science Informatics","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Segmentation; Computer science; Pattern recognition (psychology); Artificial intelligence; Ontology; Natural language processing","score_opus":0.053715188027742534,"score_gpt":0.32257057151062357,"score_spread":0.268855383482881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402474880","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018449671,0.00008711314,0.9962496,0.00002859321,0.000013023098,0.000025591708,0.00011064683,0.0012938085,0.00034655063],"genre_scores_gemma":[0.07513796,0.00026693632,0.92012906,0.00008963027,0.000045363966,0.00016755713,0.0010937899,0.00024015372,0.0028294285],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995938,0.000023834922,0.00002172031,0.00013379983,0.00017191922,0.00005496022],"domain_scores_gemma":[0.999806,0.000027602719,0.000019206414,0.000038098402,0.00008908346,0.000020148853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004103915,0.0007078723,0.0010180392,0.0015639524,0.000581592,0.0014318369,0.0021737525,0.0010856253,0.0021697443],"category_scores_gemma":[0.0005348812,0.0004763004,0.0016191045,0.0012906755,0.0005494829,0.001084544,0.0014983567,0.00096818066,0.0014373864],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018821044,0.00025569167,0.0020099075,0.000246658,0.0002078291,0.0002607365,0.00016710546,0.0972809,0.091525815,0.03030186,0.00879419,0.7687611],"study_design_scores_gemma":[0.000012463278,0.00006615489,0.0014033396,0.000025481595,0.000050434657,0.00018177259,0.0000467494,0.95084625,0.019935714,0.016492883,0.010899665,0.00003903582],"about_ca_topic_score_codex":0.0108499685,"about_ca_topic_score_gemma":0.017293766,"teacher_disagreement_score":0.0108499685,"about_ca_system_score_codex":0.00065884466,"about_ca_system_score_gemma":0.0012200959,"threshold_uncertainty_score":0.021573663},"labels":[],"label_agreement":null},{"id":"W4402487924","doi":"10.1080/00084433.2024.2399879","title":"Demonstration of a novel jaw crusher design at a lab scale","year":2024,"lang":"en","type":"article","venue":"Canadian Metallurgical Quarterly","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"IAMGOLD","keywords":"Crusher; Scale (ratio); Engineering drawing; Process engineering; Engineering; Computer science; Mechanical engineering; Physics","score_opus":0.019895629504675917,"score_gpt":0.21562800826273473,"score_spread":0.19573237875805882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402487924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7334804,0.00041642395,0.25391534,0.00041598696,0.00021983527,0.0009812247,0.00081003597,0.0048465896,0.0049142037],"genre_scores_gemma":[0.7394482,0.00029763428,0.24949735,0.00009389796,0.00003984498,0.0003497137,0.00055287953,0.0002743233,0.009446152],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992434,0.000046467438,0.00006219548,0.00011965352,0.0004498934,0.00007848776],"domain_scores_gemma":[0.9990609,0.00013669899,0.00017611014,0.00023155182,0.00028862333,0.00010607739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010852788,0.00045287822,0.0005862947,0.00043093014,0.00027166464,0.0005481769,0.0012721253,0.00083300046,0.0026968445],"category_scores_gemma":[0.0015803997,0.00038009664,0.000561005,0.00021687154,0.00037081886,0.0007428366,0.00053763983,0.0006948152,0.0013757679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016419409,0.00009673032,0.000485804,0.00014752806,0.0000091521615,0.00017046754,0.00006316153,0.00060150324,0.9834643,0.00019770564,0.0003496243,0.014249748],"study_design_scores_gemma":[0.000088253684,0.002149521,0.006448363,0.000020098805,0.00003215111,0.00081642653,0.00007986945,0.012312792,0.96853536,0.00010843593,0.009361908,0.000046821322],"about_ca_topic_score_codex":0.0006856426,"about_ca_topic_score_gemma":0.001189694,"teacher_disagreement_score":0.0026968445,"about_ca_system_score_codex":0.0002595806,"about_ca_system_score_gemma":0.0004444308,"threshold_uncertainty_score":0.009021819},"labels":[],"label_agreement":null},{"id":"W4402540955","doi":"10.1093/jas/skae234.182","title":"493 Predicting pellet quality using multiple linear regression with Principal Component Analysis (PCA)","year":2024,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Principal component analysis; Pellet; Principal component regression; Linear regression; Quality (philosophy); Statistics; Regression; Regression analysis; Component (thermodynamics); Mathematics; Biology; Physics; Thermodynamics","score_opus":0.04773790723537241,"score_gpt":0.3313511986306352,"score_spread":0.2836132913952628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402540955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7788937,0.00072266354,0.21195135,0.00018602399,0.0001268969,0.00039030865,0.0036272507,0.0019683356,0.0021334684],"genre_scores_gemma":[0.93309176,0.00024011871,0.06125154,0.000022282184,0.00002214094,0.00016662703,0.0036029988,0.00009620521,0.0015063751],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989761,0.00028386724,0.00007912383,0.0002738582,0.00028621207,0.00010095184],"domain_scores_gemma":[0.99853873,0.0006911792,0.00015349807,0.00011546512,0.00045049723,0.000050574425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020496987,0.0015587363,0.0007520298,0.0020180591,0.0005014619,0.0012588276,0.00068378873,0.00047459317,0.0023109382],"category_scores_gemma":[0.0035782892,0.00042780922,0.0018185291,0.0021917347,0.00031768502,0.00045930766,0.0005798836,0.0008140055,0.0011243615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006545955,0.0011448818,0.41097,0.00036907766,0.0013277454,0.00035366754,0.00037798414,0.17852414,0.024223058,0.00051785214,0.0064533013,0.37508374],"study_design_scores_gemma":[0.000023305463,0.00025192715,0.22360876,0.00003773036,0.00010362811,0.0000548125,0.00017237659,0.7711939,0.002506323,0.00024654347,0.0017414192,0.000059280905],"about_ca_topic_score_codex":0.05851409,"about_ca_topic_score_gemma":0.043714426,"teacher_disagreement_score":0.05851409,"about_ca_system_score_codex":0.00074515934,"about_ca_system_score_gemma":0.0013971565,"threshold_uncertainty_score":0.116347015},"labels":[],"label_agreement":null},{"id":"W4402545380","doi":"10.36487/acg_repo/2465_75","title":"Empirical and numerical assessment of two extended stopes for dilution estimation in an underground mine","year":2024,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Dilution; Estimation; Mining engineering; Numerical models; Geotechnical engineering; Geology; Environmental science; Computer science; Computer simulation; Petroleum engineering; Engineering; Simulation; Systems engineering; Thermodynamics","score_opus":0.03599925115107746,"score_gpt":0.3788514356145736,"score_spread":0.34285218446349613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402545380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9630757,0.00012718636,0.0346948,0.00003603857,0.000009470613,0.00005864065,0.00013029056,0.00013624637,0.0017317522],"genre_scores_gemma":[0.986986,0.0000639168,0.012110149,0.0000057439324,0.000001907861,0.000023251749,0.00012092203,0.00001580785,0.0006722611],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991812,0.000118379205,0.000056344918,0.00012000536,0.0004729049,0.000051134895],"domain_scores_gemma":[0.99735034,0.0010178832,0.00032227603,0.00031938404,0.0008618141,0.00012824342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014725885,0.00045310968,0.00036946053,0.0018669564,0.00028979013,0.00070326,0.00051970646,0.0008361043,0.0009506417],"category_scores_gemma":[0.003884997,0.00024691204,0.0005141062,0.00064793957,0.0006276096,0.0007013368,0.00075459795,0.00032144698,0.00023204411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014623081,0.00028484422,0.20024817,0.0005213958,0.0001202547,0.0020936322,0.0016532918,0.43037793,0.19227761,0.0036466212,0.0011366857,0.16617721],"study_design_scores_gemma":[0.000042786938,0.0015784675,0.10924504,0.00009050043,0.000100723264,0.00068825757,0.0013471555,0.8081219,0.07347285,0.0016395818,0.0035600637,0.000112708796],"about_ca_topic_score_codex":0.0014493942,"about_ca_topic_score_gemma":0.002451858,"teacher_disagreement_score":0.0018669564,"about_ca_system_score_codex":0.00036963366,"about_ca_system_score_gemma":0.00031307782,"threshold_uncertainty_score":0.0077878833},"labels":[],"label_agreement":null},{"id":"W4402640973","doi":"10.13031/ja.15974","title":"Quantitative Estimation and Comparative Assessment of Particle Morphological Features and Energy Requirement During Hammer Milling of Softwood Chips and Wheat Straw","year":2024,"lang":"en","type":"article","venue":"Journal of the ASABE","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Canada First Research Excellence Fund; University of Alberta","keywords":"Softwood; Hammer; Straw; Impact energy; Agricultural engineering; Materials science; Composite material; Pulp and paper industry; Engineering; Mechanical engineering; Agronomy; Biology","score_opus":0.046393096377724874,"score_gpt":0.3117574628432929,"score_spread":0.26536436646556805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402640973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99744165,0.0001392943,0.0015939722,0.000003870319,0.0000025227773,0.000010016093,0.0003764985,0.000016879148,0.00041535555],"genre_scores_gemma":[0.9966208,0.000103717764,0.0018206941,0.000009088913,0.0000012792493,0.000014828821,0.000497532,0.000010298637,0.0009217576],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998982,0.0000060784887,0.0000071891177,0.000026388347,0.000046023146,0.000016128088],"domain_scores_gemma":[0.99977714,0.0000651414,0.00004852477,0.000010795469,0.00007630451,0.000022110848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017251595,0.00020886416,0.0001673236,0.000720067,0.00013834824,0.00027406376,0.000120207405,0.00018865835,0.0009271305],"category_scores_gemma":[0.0002518076,0.00014745693,0.0002372554,0.00040815398,0.000118008174,0.00020536786,0.00014120882,0.00020506143,0.00013800529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037042366,0.000046793328,0.03279817,0.00011687566,0.00003285456,0.000121303,0.0001178394,0.0010416905,0.94846064,0.00005439449,0.0001079062,0.016731132],"study_design_scores_gemma":[0.000005053322,0.00034128997,0.6987536,0.00000897863,0.00004225135,0.00013575498,0.00025821477,0.005463246,0.29437664,0.00004180441,0.00055274286,0.000020397387],"about_ca_topic_score_codex":0.0022239762,"about_ca_topic_score_gemma":0.005093196,"teacher_disagreement_score":0.0022239762,"about_ca_system_score_codex":0.00015980843,"about_ca_system_score_gemma":0.0001031392,"threshold_uncertainty_score":0.0044220686},"labels":[],"label_agreement":null},{"id":"W4402902815","doi":"10.1016/j.mineng.2024.108934","title":"Impact of the feed particle size distribution and its packing characteristics on compression comminution","year":2024,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Agencia Nacional de Investigación y Desarrollo; Mitacs","keywords":"Comminution; Particle-size distribution; Particle size; Compression (physics); Particle (ecology); Materials science; Process engineering; Environmental science; Composite material; Metallurgy; Engineering; Geology; Chemical engineering","score_opus":0.011866970566400164,"score_gpt":0.23719934888489647,"score_spread":0.2253323783184963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402902815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980714,0.0002529578,0.0006881019,0.000020994437,0.000010255328,0.00001005982,0.00013156698,0.000030321906,0.00078442786],"genre_scores_gemma":[0.99885786,0.00015414866,0.00037481406,0.000015069482,0.0000031994914,0.0000051847214,0.00015771574,0.000020151872,0.00041192686],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99958616,0.00003204609,0.000027749611,0.00008172259,0.00019842623,0.00007389861],"domain_scores_gemma":[0.9992793,0.0003337433,0.00010963385,0.000039537088,0.00018201584,0.00005580294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034613593,0.00028663455,0.0002833234,0.00043101312,0.00025290935,0.0005095478,0.00022903782,0.0002690876,0.001422504],"category_scores_gemma":[0.0014603754,0.00018125073,0.00019032166,0.00044479402,0.00027292193,0.00032114005,0.00018542701,0.00028026843,0.00029784912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012658709,0.00020674246,0.01749178,0.0001590912,0.00004282968,0.00036793758,0.00015676503,0.0033614852,0.9524809,0.0001235724,0.00029231477,0.024050651],"study_design_scores_gemma":[0.000019508534,0.0014123985,0.116809085,0.00001878004,0.000044056713,0.00019856411,0.00023875052,0.008512255,0.8714916,0.000036720056,0.0011933657,0.00002484949],"about_ca_topic_score_codex":0.004844076,"about_ca_topic_score_gemma":0.0064349524,"teacher_disagreement_score":0.004844076,"about_ca_system_score_codex":0.0004123315,"about_ca_system_score_gemma":0.0002230305,"threshold_uncertainty_score":0.009631753},"labels":[],"label_agreement":null},{"id":"W4403086978","doi":"10.1016/j.mineng.2024.109036","title":"A comparison of ore pre-concentration efficiency between two high voltage pulse generator systems","year":2024,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Government; Goldcorp; Newmont Corporation","keywords":"Generator (circuit theory); Voltage; Pulse (music); Process engineering; High voltage; Pulse generator; Materials science; Electrical engineering; Engineering; Power (physics); Physics; Thermodynamics","score_opus":0.0165823577921534,"score_gpt":0.26775239248874894,"score_spread":0.25117003469659555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403086978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9797125,0.00057280797,0.015293239,0.0000783128,0.000053253847,0.00017552907,0.00045517707,0.0006012822,0.0030578836],"genre_scores_gemma":[0.98327404,0.00024351514,0.011956045,0.000039347553,0.000009765104,0.000077108896,0.0004561533,0.000115923394,0.0038281055],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992613,0.00007491318,0.00006722786,0.00014290703,0.00037141537,0.00008228647],"domain_scores_gemma":[0.99890363,0.00032438076,0.00009714064,0.00013852089,0.0004891907,0.000047121808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083609624,0.00033049725,0.0005558613,0.00076268334,0.0002962679,0.0006052352,0.0006862025,0.0007301697,0.0025474944],"category_scores_gemma":[0.0016009652,0.00031374505,0.00036127496,0.0005935667,0.00028269712,0.00072359387,0.00035502174,0.00049019273,0.00075952325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002677843,0.00035259873,0.008036521,0.0006277227,0.000079379395,0.00019676461,0.00024294127,0.0036497994,0.90258443,0.00025548437,0.0008986278,0.08039786],"study_design_scores_gemma":[0.000057245088,0.003098348,0.027903048,0.000017416194,0.00007853639,0.00022929088,0.00013534035,0.006997797,0.9570782,0.00009379643,0.0042769783,0.00003392772],"about_ca_topic_score_codex":0.0005973305,"about_ca_topic_score_gemma":0.0012634342,"teacher_disagreement_score":0.0025474944,"about_ca_system_score_codex":0.0003470762,"about_ca_system_score_gemma":0.0002304942,"threshold_uncertainty_score":0.008522272},"labels":[],"label_agreement":null},{"id":"W4403098693","doi":"10.1080/19236026.2024.2377527","title":"Opportunities for research to achieve the vision of the Smart Mine","year":2024,"lang":"en","type":"article","venue":"CIM Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Business; Internet privacy; Computer science; Data science","score_opus":0.19238724153909845,"score_gpt":0.38352347646444107,"score_spread":0.19113623492534262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403098693","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02340579,0.2715431,0.0724402,0.50050783,0.0051358435,0.00036671732,0.00024456446,0.00026304796,0.12609294],"genre_scores_gemma":[0.5321909,0.25486755,0.14621636,0.05216217,0.002732621,0.00079628994,0.0004590172,0.00017612423,0.0103990175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9821025,0.010916277,0.0008652636,0.0017253957,0.0030876459,0.0013028305],"domain_scores_gemma":[0.96035445,0.024993664,0.0028221337,0.0024170408,0.006004937,0.003407742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.037498835,0.001052555,0.0013118533,0.0061360733,0.004191063,0.021031072,0.0026839043,0.008035704,0.0062988196],"category_scores_gemma":[0.023887038,0.0005257823,0.001487089,0.007270844,0.017106632,0.03582131,0.008445084,0.008509311,0.001959867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037740265,0.0001671216,0.0017294909,0.0053952895,0.00006039274,0.00025845203,0.012376811,0.00056334544,0.0006103722,0.85004175,0.017405357,0.11135383],"study_design_scores_gemma":[0.000030304196,0.00015884687,0.002269038,0.012769792,0.000069931055,0.0004140448,0.07067861,0.000850261,0.00062026666,0.5618155,0.35024866,0.00007478177],"about_ca_topic_score_codex":0.0025741078,"about_ca_topic_score_gemma":0.00482974,"teacher_disagreement_score":0.037498835,"about_ca_system_score_codex":0.008866543,"about_ca_system_score_gemma":0.033439092,"threshold_uncertainty_score":0.19831514},"labels":[],"label_agreement":null},{"id":"W4403223521","doi":"10.1139/cgj-2024-0255","title":"Computed tomography-driven analysis of particle breakage using a coupled FDM–DEM approach","year":2024,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Breakage; Computed tomography; Particle (ecology); Geotechnical engineering; Tomography; Finite element method; Geology; Mechanics; Materials science; Physics; Engineering; Structural engineering; Composite material; Optics; Radiology","score_opus":0.017867469773835836,"score_gpt":0.23078731003646158,"score_spread":0.21291984026262575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403223521","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08108629,0.00022709926,0.9136235,0.00014411718,0.000053242762,0.00007171303,0.00030020162,0.0004933606,0.004000433],"genre_scores_gemma":[0.87025815,0.00022361854,0.12690674,0.00006756808,0.000020865426,0.00010471059,0.00027611462,0.00006977823,0.0020724554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990773,0.00001517008,0.0000065368145,0.000019738227,0.00003742601,0.000013420464],"domain_scores_gemma":[0.9997253,0.00012937946,0.000038142,0.000036307643,0.000054800636,0.000016044229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023044474,0.0004383244,0.00035638394,0.00062288233,0.0002358406,0.00050603045,0.0008240878,0.0008633318,0.0010575212],"category_scores_gemma":[0.00077698124,0.0003341406,0.00045144657,0.00037644475,0.0004075556,0.00050757703,0.00046572974,0.0004999347,0.00013985368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025131956,0.00002860418,0.0010670935,0.000037521146,0.000014797582,0.000090292095,0.000030444666,0.9805267,0.008504075,0.0022876111,0.00014558119,0.007242108],"study_design_scores_gemma":[0.0000016394541,0.000002950401,0.00013651492,0.0000015565146,0.0000011367881,0.00000745367,0.0000034363402,0.9988285,0.0005986081,0.00026267904,0.00015306365,0.0000025120744],"about_ca_topic_score_codex":0.0068461862,"about_ca_topic_score_gemma":0.0051562097,"teacher_disagreement_score":0.0068461862,"about_ca_system_score_codex":0.0006273994,"about_ca_system_score_gemma":0.0005825021,"threshold_uncertainty_score":0.013612688},"labels":[],"label_agreement":null},{"id":"W4403336786","doi":"10.3390/rs16203778","title":"Predicting Rock Hardness and Abrasivity Using Hyperspectral Imaging Data and Random Forest Regressor Model","year":2024,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Hyperspectral imaging; Random forest; Soil science; Geology; Remote sensing; Environmental science; Artificial intelligence; Computer science","score_opus":0.03011644089448587,"score_gpt":0.2670234201595636,"score_spread":0.23690697926507773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403336786","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31664354,0.00055428577,0.67952013,0.00010822369,0.00004054095,0.000071835646,0.00043087988,0.001317909,0.001312667],"genre_scores_gemma":[0.91406184,0.00033537112,0.08293106,0.000038389062,0.00003400064,0.00007944218,0.0009446898,0.00005984304,0.0015154077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996753,0.000056734672,0.000015317508,0.00011698805,0.00009482315,0.000040734572],"domain_scores_gemma":[0.99945813,0.00025419547,0.00009501997,0.000040473857,0.00013400424,0.000018116692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009133784,0.0009515302,0.0006244596,0.0009939191,0.00017707828,0.00055387535,0.0006733622,0.0005804169,0.00054869044],"category_scores_gemma":[0.0015636338,0.0003108013,0.0008649152,0.00069619383,0.00025376002,0.00081470306,0.0002793787,0.000715722,0.0003884342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014628342,0.00020129303,0.01746641,0.00009126993,0.0001259692,0.0001080799,0.000054246615,0.8609662,0.011548786,0.0006987119,0.0006876849,0.10790509],"study_design_scores_gemma":[0.0000021255903,0.00001603486,0.0021340572,0.0000027746914,0.0000079749825,0.000012019204,0.0000051431857,0.99679464,0.000773937,0.00014931097,0.000095878524,0.0000059623944],"about_ca_topic_score_codex":0.009378297,"about_ca_topic_score_gemma":0.009738701,"teacher_disagreement_score":0.009378297,"about_ca_system_score_codex":0.00033642736,"about_ca_system_score_gemma":0.0005047957,"threshold_uncertainty_score":0.018647373},"labels":[],"label_agreement":null},{"id":"W4403431059","doi":"10.1080/00084433.2024.2415235","title":"Influence of HPGR operating parameters on the edge and centre product – an industrial trial","year":2024,"lang":"en","type":"article","venue":"Canadian Metallurgical Quarterly","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Iron Ore Company (Canada)","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Product (mathematics); Materials science; Metallurgy; Nuclear engineering; Process engineering; Environmental science; Engineering; Mathematics","score_opus":0.026402436347478513,"score_gpt":0.22390341149290036,"score_spread":0.19750097514542184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403431059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99706143,0.0005765009,0.0010667957,0.000019295541,0.000016238977,0.00007931213,0.00018632015,0.000044607157,0.00094944786],"genre_scores_gemma":[0.99487656,0.00054383196,0.0030150514,0.000020136642,0.000009301471,0.00003240637,0.00023221326,0.000050382983,0.0012203141],"study_design_codex":"bench_or_experimental","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99879956,0.00019869182,0.00009979005,0.00024845646,0.0005026805,0.00015074734],"domain_scores_gemma":[0.99763656,0.0009906183,0.0003020178,0.00021253496,0.0007086756,0.00014955885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014319385,0.000565619,0.0007425167,0.0006838288,0.00049528945,0.0010279033,0.0006640017,0.00067066296,0.0022263296],"category_scores_gemma":[0.0030858344,0.0002304953,0.00056783506,0.00080300664,0.0004660497,0.0007921333,0.0007212521,0.0008313852,0.000598056],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013535474,0.0049440023,0.016133232,0.0015127498,0.0001740976,0.00059181463,0.0006651115,0.012536982,0.84140116,0.00027126793,0.0008684487,0.10736562],"study_design_scores_gemma":[0.00024387172,0.058654666,0.1017301,0.0000766544,0.00036420496,0.00033001605,0.0010401651,0.012108773,0.8186666,0.00019518411,0.0064630276,0.0001267436],"about_ca_topic_score_codex":0.0015186758,"about_ca_topic_score_gemma":0.002037021,"teacher_disagreement_score":0.0022263296,"about_ca_system_score_codex":0.00041311307,"about_ca_system_score_gemma":0.00030072444,"threshold_uncertainty_score":0.007572949},"labels":[],"label_agreement":null},{"id":"W4403439362","doi":"10.4236/ti.2024.154011","title":"Applying Machine Learning Techniques to Analyze and Explore Precious Metals","year":2024,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.01611346990039834,"score_gpt":0.24908115392801616,"score_spread":0.23296768402761783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403439362","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13552092,0.0042815497,0.8447641,0.0017160254,0.00015007787,0.0001184617,0.0010074062,0.0011837063,0.011257737],"genre_scores_gemma":[0.7199748,0.003748161,0.27070555,0.00023272118,0.00013928286,0.00010331776,0.0011991491,0.00012250405,0.0037745729],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954695,0.000096038144,0.000038053455,0.00010483834,0.00017231217,0.000041836454],"domain_scores_gemma":[0.998295,0.0010108734,0.00024627836,0.0001501565,0.00027265443,0.000025119814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011138024,0.0009881232,0.0005981501,0.003417068,0.00038966196,0.0016827848,0.00092532,0.0009292933,0.0013154787],"category_scores_gemma":[0.0046752365,0.00034686996,0.00087649515,0.002351901,0.0005488537,0.0020634474,0.00075242086,0.0011596163,0.0006099025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010331418,0.00020548153,0.051466845,0.00061964046,0.000246241,0.00063427974,0.00037587696,0.47049558,0.007110245,0.026626784,0.004018049,0.43809766],"study_design_scores_gemma":[0.000006311889,0.000050639133,0.0062157786,0.0000745776,0.000031775555,0.0001198207,0.00019891837,0.9515127,0.0052951644,0.030990457,0.005475793,0.000028072469],"about_ca_topic_score_codex":0.00437809,"about_ca_topic_score_gemma":0.004475209,"teacher_disagreement_score":0.00437809,"about_ca_system_score_codex":0.0007135641,"about_ca_system_score_gemma":0.00090287154,"threshold_uncertainty_score":0.008705199},"labels":[],"label_agreement":null},{"id":"W4403538078","doi":"10.1103/physrevmaterials.8.103605","title":"Grain boundary segregation prediction with a dual-solute model","year":2024,"lang":"en","type":"article","venue":"Physical Review Materials","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Dual (grammatical number); Grain boundary; Composite material; Microstructure","score_opus":0.013369439568749746,"score_gpt":0.26371367770201676,"score_spread":0.250344238133267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403538078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6112874,0.00050302094,0.37615985,0.0003908375,0.00007379258,0.00006747253,0.00024576834,0.00031511195,0.010956695],"genre_scores_gemma":[0.9624379,0.00018424404,0.03463411,0.000059176,0.0000107845435,0.00007727403,0.00012005234,0.000052761385,0.0024237472],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999268,0.000011697212,0.0000041268477,0.000014873145,0.000028522212,0.000013964234],"domain_scores_gemma":[0.9998956,0.000027367363,0.000013140776,0.000013846531,0.00003680031,0.000013256616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016320213,0.00034113578,0.00046254252,0.00042602772,0.00030765828,0.00035013436,0.0008298936,0.000800439,0.00058449333],"category_scores_gemma":[0.00047996335,0.00023845371,0.00037283864,0.00023107819,0.00041337736,0.0007574723,0.00044255584,0.00043457357,0.00016975243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007582263,0.000074684845,0.0016689174,0.00008106004,0.000019384332,0.0001532793,0.000047991325,0.8991445,0.05893257,0.032978658,0.000533998,0.0062891548],"study_design_scores_gemma":[0.0000028475777,0.000003009696,0.000052309108,8.456125e-7,0.0000012684357,0.0000036893155,0.0000018343715,0.9977569,0.0012489951,0.00081699516,0.00010985922,0.0000015623749],"about_ca_topic_score_codex":0.005164391,"about_ca_topic_score_gemma":0.0037999607,"teacher_disagreement_score":0.005164391,"about_ca_system_score_codex":0.00062447594,"about_ca_system_score_gemma":0.00060637674,"threshold_uncertainty_score":0.010268629},"labels":[],"label_agreement":null},{"id":"W4403656143","doi":"10.1093/obo/9780195399301-0539","title":"Mining and Metallurgy","year":2024,"lang":"en","type":"reference-entry","venue":"Renaissance and Reformation","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metallurgy; Materials science","score_opus":0.018159213011032932,"score_gpt":0.23590739786802034,"score_spread":0.2177481848569874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403656143","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004732711,0.04263453,0.0016287378,0.023587277,0.002479983,0.000039032984,0.00037054592,0.00008963749,0.9244376],"genre_scores_gemma":[0.23212437,0.0545734,0.0035619738,0.017073968,0.004344254,0.000110767156,0.00077067723,0.00015145376,0.6872891],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99808973,0.00046647585,0.00013711055,0.00045561235,0.0005962449,0.00025482007],"domain_scores_gemma":[0.99935347,0.00013237928,0.00009240929,0.00012792558,0.0001989118,0.000094837465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082097156,0.0006513254,0.000568425,0.0015907562,0.0030183583,0.0069195977,0.00070418214,0.0021130776,0.043588787],"category_scores_gemma":[0.0020191157,0.00019506984,0.00029949725,0.0025794622,0.009010094,0.0044521,0.0036297801,0.0024584187,0.010920205],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022710154,0.0000242169,0.0016777635,0.00021886628,0.000015291698,0.00021888257,0.0021910782,0.00015641429,0.00026450338,0.7736221,0.13673587,0.08485227],"study_design_scores_gemma":[0.0000031032052,0.000010826118,0.0012204841,0.00016849404,0.0000030330573,0.0002018786,0.00060378545,0.000026284533,0.000040105202,0.048695136,0.94902194,0.0000048883676],"about_ca_topic_score_codex":0.0070487773,"about_ca_topic_score_gemma":0.010694348,"teacher_disagreement_score":0.043588787,"about_ca_system_score_codex":0.002994205,"about_ca_system_score_gemma":0.0030199527,"threshold_uncertainty_score":0.14581901},"labels":[],"label_agreement":null},{"id":"W4403895764","doi":"10.18280/mmep.111004","title":"Machine Learning Techniques for Predicting the Quantity of ANFO Used in Blasting a Bench in an Open Pit Mine","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rock blasting; Open-pit mining; Mining engineering; Engineering; Environmental science; Petroleum engineering","score_opus":0.043466973187102374,"score_gpt":0.26556209952550325,"score_spread":0.22209512633840087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403895764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81875914,0.00048598423,0.17870994,0.0001173787,0.000018342023,0.00004153988,0.00021139938,0.0002742924,0.001381959],"genre_scores_gemma":[0.9825867,0.00013605678,0.016853752,0.0000074028003,0.0000048471493,0.00002463718,0.00011117187,0.0000051802003,0.0002703545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998585,0.00003584308,0.000013196362,0.000029673865,0.000048620208,0.00001412052],"domain_scores_gemma":[0.999373,0.00041128334,0.00010947006,0.000015740487,0.000078048426,0.0000125097395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004614,0.0005107657,0.0003438865,0.00059439096,0.00014736908,0.0002954719,0.00027866708,0.00048185038,0.00038184025],"category_scores_gemma":[0.0019403462,0.00014927739,0.00025231397,0.00039282948,0.00014124007,0.0004436069,0.00017156565,0.00033533512,0.000106977706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015621341,0.0001320785,0.033308737,0.00020012457,0.000050102764,0.00017280978,0.00010343288,0.8456275,0.013657531,0.00030175547,0.00025224063,0.10603746],"study_design_scores_gemma":[0.0000038538055,0.0000934095,0.010020365,0.000014210014,0.000009313548,0.000030340263,0.000047902442,0.9876565,0.0017763383,0.00021298614,0.00012789146,0.0000068268228],"about_ca_topic_score_codex":0.004111411,"about_ca_topic_score_gemma":0.006356772,"teacher_disagreement_score":0.004111411,"about_ca_system_score_codex":0.00021628529,"about_ca_system_score_gemma":0.00029819403,"threshold_uncertainty_score":0.008174956},"labels":[],"label_agreement":null},{"id":"W4404117915","doi":"10.1016/j.cageo.2024.105756","title":"Backpropagation-based inference for spatial interpolation to estimate the blastability index in an open pit mine","year":2024,"lang":"en","type":"article","venue":"Computers & Geosciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Backpropagation; Interpolation (computer graphics); Inference; Index (typography); Multivariate interpolation; Computer science; Data mining; Statistics; Artificial intelligence; Algorithm; Geology; Mathematics; Bilinear interpolation; Artificial neural network; Computer vision; Image (mathematics)","score_opus":0.026126919717129462,"score_gpt":0.33316706218922776,"score_spread":0.3070401424720983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404117915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49330884,0.00031950162,0.5030913,0.00046922578,0.000056813235,0.000037666352,0.00023284408,0.00088628364,0.0015976263],"genre_scores_gemma":[0.92729187,0.00007353551,0.07067761,0.000043757318,0.00002970078,0.000026223297,0.0002565636,0.000053208863,0.0015475148],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980146,0.000044432985,0.0000136258595,0.000056867193,0.000045788736,0.000037884063],"domain_scores_gemma":[0.9985567,0.0009792604,0.0000881018,0.00006223911,0.00026483662,0.00004888666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011044113,0.00048255804,0.00074316905,0.00078695733,0.0005297594,0.00057738385,0.001541766,0.0011291993,0.000995726],"category_scores_gemma":[0.0036275717,0.00051876635,0.00055728294,0.0007782706,0.00061422633,0.0008819683,0.00068525196,0.0011115078,0.00018462025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001951322,0.00012652321,0.006420323,0.00003484559,0.000045239653,0.00006460812,0.000053270833,0.93695766,0.0024460629,0.0018722252,0.00063710375,0.05114706],"study_design_scores_gemma":[0.0000031063335,0.0000030829153,0.00028632337,8.881964e-7,0.000001738021,0.0000025938602,0.0000025067607,0.9991855,0.00019025001,0.0003037572,0.000018535513,0.0000017227252],"about_ca_topic_score_codex":0.05306294,"about_ca_topic_score_gemma":0.046718065,"teacher_disagreement_score":0.05306294,"about_ca_system_score_codex":0.0010170736,"about_ca_system_score_gemma":0.0017017421,"threshold_uncertainty_score":0.10550815},"labels":[],"label_agreement":null},{"id":"W4404373443","doi":"10.3749/9780921294719.ch08","title":"CONTRIBUTIONS OF FLUID INCLUSIONS TO GENETIC MODELS FOR MINERAL DEPOSITS","year":2020,"lang":"en","type":"book-chapter","venue":"Mineralogical Association of Canada eBooks","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University; Simon Fraser University; University of Alberta","funders":"","keywords":"Mineral; Geology; Fluid inclusions; Geochemistry; Materials science; Seismology; Metallurgy","score_opus":0.012811356617253085,"score_gpt":0.20109535195483985,"score_spread":0.18828399533758677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404373443","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057851102,0.0020103173,0.87753814,0.002355744,0.00026387256,0.000037289847,0.0004761543,0.00029492946,0.05917242],"genre_scores_gemma":[0.6664135,0.004007541,0.26894867,0.0008051077,0.0005037443,0.00017751643,0.0005931444,0.00060404534,0.057946686],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99970007,0.00012766922,0.000012878648,0.000059343336,0.00007460691,0.00002551527],"domain_scores_gemma":[0.9975069,0.0019951533,0.00010424829,0.00013096344,0.00016387347,0.000098896286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088828435,0.00064293056,0.0008808227,0.0010665379,0.0009115166,0.001406681,0.001948124,0.0013709194,0.0035356644],"category_scores_gemma":[0.0050091315,0.0005929574,0.0013007679,0.00094038725,0.0029729076,0.0016327563,0.0013051598,0.0020385697,0.00050292385],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008174659,0.00001576744,0.00035482243,0.000024359568,0.000020009715,0.0000676918,0.00012035773,0.25874108,0.00045106673,0.73054016,0.0012743117,0.008382244],"study_design_scores_gemma":[0.00000469053,0.000004149991,0.0001348044,0.000007275617,0.000009500331,0.000024672176,0.000019165078,0.37294385,0.00010477213,0.6227812,0.003954602,0.000011386131],"about_ca_topic_score_codex":0.032474842,"about_ca_topic_score_gemma":0.023940563,"teacher_disagreement_score":0.032474842,"about_ca_system_score_codex":0.0031975384,"about_ca_system_score_gemma":0.0012043552,"threshold_uncertainty_score":0.06457162},"labels":[],"label_agreement":null},{"id":"W4404468942","doi":"10.1007/s11053-024-10428-z","title":"Risk-Based Optimization of Post-Blast Dig-Limits Incorporating Blast Movement and Grade Uncertainties with Multiple Destinations in Open-Pit Mines","year":2024,"lang":"en","type":"article","venue":"Natural Resources Research","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Open-pit mining; Movement (music); Mineral resource classification; Blast furnace; Destinations; Mining engineering; Blast injury; Environmental science; Geology; Engineering; Forensic engineering; Geography; Poison control; Archaeology; Materials science; Geochemistry; Tourism; Medicine; Metallurgy","score_opus":0.03071087710081206,"score_gpt":0.3095003986048981,"score_spread":0.27878952150408604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404468942","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47375178,0.0009848897,0.5104391,0.0007846289,0.00011504697,0.0001771609,0.00053598825,0.00033412414,0.012877213],"genre_scores_gemma":[0.98343396,0.00012505133,0.012879482,0.000040774616,0.000013209218,0.00006704786,0.00013205786,0.00004980768,0.0032586502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943405,0.00020851694,0.000026060752,0.00010097867,0.00009718843,0.0001331597],"domain_scores_gemma":[0.9979018,0.0014172813,0.00021494098,0.000054347354,0.00023789688,0.00017365199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021812224,0.0013996058,0.0026000747,0.0010942896,0.00066502567,0.002137777,0.0016543878,0.0027718327,0.0020024097],"category_scores_gemma":[0.0035402991,0.0019861874,0.0013889782,0.0009113434,0.00130124,0.0015848677,0.0017962628,0.0013236892,0.00021255836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001430394,0.000007854712,0.000107707965,0.0000058975006,0.000006445532,0.000017173601,0.0000050574877,0.9990958,0.000050216175,0.0002196266,0.000028822618,0.00044108744],"study_design_scores_gemma":[0.0000038916287,0.000013623335,0.000098104676,0.000002167646,0.000003674698,0.0000027124765,0.000007720283,0.9995314,0.000040785028,0.000263367,0.000030044184,0.0000026058008],"about_ca_topic_score_codex":0.023321016,"about_ca_topic_score_gemma":0.014480111,"teacher_disagreement_score":0.023321016,"about_ca_system_score_codex":0.0016260403,"about_ca_system_score_gemma":0.0018941287,"threshold_uncertainty_score":0.046370506},"labels":[],"label_agreement":null},{"id":"W4404487746","doi":"10.3390/min14111162","title":"Applications of Kuz–Ram Models in Mine-to-Mill Integration and Optimization—A Review","year":2024,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Universidad de Antofagasta","keywords":"Mill; Materials science; Process engineering; Mining engineering; Environmental science; Biochemical engineering; Mechanical engineering; Geology; Engineering","score_opus":0.01826960506498737,"score_gpt":0.26650643881151487,"score_spread":0.2482368337465275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404487746","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00518539,0.76454294,0.2021483,0.0012411382,0.0005660367,0.00008084428,0.0003316715,0.00033542656,0.025568314],"genre_scores_gemma":[0.07715946,0.8473998,0.06834977,0.00043326133,0.0006829002,0.00023103594,0.00056733756,0.0002349873,0.004941528],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.999551,0.00012527817,0.00005409535,0.00008118637,0.00015629723,0.000032094384],"domain_scores_gemma":[0.99876803,0.00087230676,0.00009025448,0.00005527083,0.00018687683,0.000027146412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011257661,0.0017910583,0.0019620312,0.0017833327,0.00039672607,0.00154859,0.0018950531,0.001864579,0.0035206089],"category_scores_gemma":[0.002179741,0.00086619065,0.0021451153,0.0029485014,0.0006811874,0.0015337076,0.00091503083,0.0015351314,0.0015179478],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007600871,0.00020252806,0.001685577,0.013701995,0.0004449809,0.00035216633,0.00019396255,0.44324338,0.0024253866,0.09093146,0.01400062,0.4327419],"study_design_scores_gemma":[0.000048437836,0.00031447553,0.0018025956,0.0050696894,0.00047663352,0.00065146154,0.00022720282,0.48961356,0.003490228,0.05995746,0.43812928,0.00021887108],"about_ca_topic_score_codex":0.004788884,"about_ca_topic_score_gemma":0.0033099896,"teacher_disagreement_score":0.004788884,"about_ca_system_score_codex":0.00087723584,"about_ca_system_score_gemma":0.0014398174,"threshold_uncertainty_score":0.01177758},"labels":[],"label_agreement":null},{"id":"W4404494503","doi":"10.1007/978-3-031-67398-6_158","title":"Simulation-Based Geomodelling and Bulk Ore Sorting Towards Improved Geometallurgical Practices","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sorting; Mining engineering; Environmental science; Computer science; Process engineering; Geology; Engineering; Algorithm","score_opus":0.03534394442515292,"score_gpt":0.2730023611157895,"score_spread":0.2376584166906366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404494503","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09159634,0.00037912247,0.87437093,0.0004133618,0.000109307926,0.00007735496,0.000633223,0.0020038055,0.030416582],"genre_scores_gemma":[0.77580696,0.00058181543,0.20752735,0.00010355832,0.000027247068,0.000116114505,0.0007015357,0.00056735694,0.014568051],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998667,0.00003247646,0.0000073834135,0.000025826543,0.000054793385,0.000012715646],"domain_scores_gemma":[0.9996973,0.00014906982,0.000024170164,0.000049531514,0.00006692576,0.000012937134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026702826,0.0005689288,0.0007016149,0.00038844158,0.00036228154,0.0011898754,0.0009873868,0.0009052033,0.006118375],"category_scores_gemma":[0.00076010294,0.0004481934,0.0006121268,0.0006406109,0.00040450518,0.0009536031,0.0005991529,0.0006262189,0.0008075517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015922833,0.000020945405,0.00020198409,0.000018937164,0.000006394454,0.000009203774,0.000014323028,0.9878576,0.0011980401,0.0019394615,0.00029773128,0.008419468],"study_design_scores_gemma":[0.0000026829493,0.000006087302,0.000059739854,0.0000028649458,0.0000020262994,0.0000035643884,0.000006274918,0.9969229,0.00051364163,0.0017410036,0.00073667953,0.0000024865055],"about_ca_topic_score_codex":0.017408293,"about_ca_topic_score_gemma":0.01900891,"teacher_disagreement_score":0.017408293,"about_ca_system_score_codex":0.00075982005,"about_ca_system_score_gemma":0.0012026934,"threshold_uncertainty_score":0.034613907},"labels":[],"label_agreement":null},{"id":"W4404495132","doi":"10.1007/978-3-031-67398-6_285","title":"Influence of High-Power Microwave Treatment on Comminution and Subsequent Downstream Processing with Characterization Studies of Kimberlites","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saskatchewan Research Council (Canada); Hudbay Minerals (Canada); Queen's University","funders":"","keywords":"Comminution; Kimberlite; Microwave; Characterization (materials science); Environmental science; Materials science; Geology; Geochemistry; Metallurgy; Engineering; Nanotechnology; Telecommunications; Mantle (geology)","score_opus":0.015658685156494115,"score_gpt":0.22743178424860075,"score_spread":0.21177309909210662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404495132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98929054,0.0014159549,0.0027417266,0.000058403268,0.00002096209,0.000024099803,0.00015923385,0.00003682482,0.0062523074],"genre_scores_gemma":[0.98902416,0.00079222716,0.0025549235,0.000049611073,0.00000884745,0.00001996351,0.00023782447,0.00005528443,0.007257243],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989796,0.000015340363,0.0000049161663,0.000022005639,0.000035608547,0.000024165101],"domain_scores_gemma":[0.99989545,0.000057466263,0.000011524797,0.000011517216,0.000018347399,0.000005595587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014510653,0.00022892232,0.0001829921,0.000147224,0.00028803138,0.00030505302,0.0002830685,0.00018984573,0.00171397],"category_scores_gemma":[0.00021733379,0.00014833453,0.00016025767,0.0002507728,0.00021320667,0.0002541649,0.00012799476,0.00040192623,0.00033850293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010998431,0.000022995117,0.00019686001,0.000043689863,0.0000037580403,0.000039354767,0.000042025586,0.00014003454,0.9966169,0.00007067954,0.000051392948,0.0026623593],"study_design_scores_gemma":[0.0000018758826,0.00006068451,0.0017100531,0.0000018572117,0.000005174546,0.000017913042,0.000021198526,0.00020659482,0.9972703,0.000019361156,0.0006829349,0.0000020057207],"about_ca_topic_score_codex":0.0014747363,"about_ca_topic_score_gemma":0.004653212,"teacher_disagreement_score":0.00171397,"about_ca_system_score_codex":0.00021442273,"about_ca_system_score_gemma":0.00017668212,"threshold_uncertainty_score":0.005733788},"labels":[],"label_agreement":null},{"id":"W4404529499","doi":"10.2139/ssrn.5011688","title":"Evaluation of Coal Rock Fracability Via Three-Dimensional Reconstruction from Ct Images","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Coal; Geology; Mining engineering; Artificial intelligence; Computer vision; Computer science; Archaeology; Geography","score_opus":0.014979187482747987,"score_gpt":0.2571769438452062,"score_spread":0.2421977563624582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404529499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83493483,0.0010525989,0.15851505,0.00015579231,0.000019961964,0.00015571908,0.0010913013,0.001123304,0.0029513917],"genre_scores_gemma":[0.9583662,0.00043609433,0.039591786,0.000018989722,0.0000074581153,0.000022116728,0.00044831264,0.00014937941,0.00095980987],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996749,0.000043569966,0.000030084057,0.000045105473,0.00016958301,0.000036788748],"domain_scores_gemma":[0.9984794,0.0006614002,0.00019785922,0.00016407376,0.00043424233,0.000063057196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011850963,0.000647385,0.0003543478,0.0030737782,0.00021681387,0.0013239483,0.00042610345,0.0010506455,0.0025560583],"category_scores_gemma":[0.0030182363,0.00046450342,0.00040376588,0.00084114296,0.00044738923,0.0007078278,0.0004617258,0.00036942985,0.00054223614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023183418,0.0002450673,0.056274537,0.00083846506,0.00021924534,0.001469442,0.0005693651,0.11674594,0.6465343,0.0013286165,0.00076256774,0.17269413],"study_design_scores_gemma":[0.000058170644,0.0004012699,0.13844599,0.00011601726,0.0002597364,0.003987322,0.00044949184,0.54152906,0.31148463,0.00082335947,0.0022734366,0.0001715185],"about_ca_topic_score_codex":0.0021893273,"about_ca_topic_score_gemma":0.002202304,"teacher_disagreement_score":0.0030737782,"about_ca_system_score_codex":0.00026841913,"about_ca_system_score_gemma":0.00040892686,"threshold_uncertainty_score":0.008550882},"labels":[],"label_agreement":null},{"id":"W4404558619","doi":"10.1139/cgj-2023-0756","title":"A rapid segmentation and occlusion completion method for packed granular particles considering uncertainty","year":2024,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Segmentation; Particle (ecology); Generalization; Granular material; Morphology (biology); Mathematical morphology; Artificial intelligence; Computer science; Mathematics; Materials science; Image processing; Geology; Composite material; Image (mathematics); Mathematical analysis","score_opus":0.024840654708502375,"score_gpt":0.27186643622532763,"score_spread":0.24702578151682525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404558619","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02261808,0.00015644547,0.97485286,0.00007309914,0.000027001655,0.000059394893,0.000096215656,0.0013451678,0.00077182276],"genre_scores_gemma":[0.4677991,0.00032708104,0.5265181,0.00018601908,0.0000831372,0.00015979516,0.0011393442,0.00057402515,0.003213366],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994147,0.00004903517,0.000032219108,0.00024806286,0.00018323727,0.00007277353],"domain_scores_gemma":[0.9991968,0.0002477551,0.00011204268,0.00014419365,0.00024032792,0.000058827307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009939091,0.0011382999,0.0013559543,0.0014609479,0.0005951548,0.0012856324,0.0018752954,0.0013811508,0.0016044689],"category_scores_gemma":[0.0023039512,0.00076467486,0.0012854022,0.0008779759,0.00091822195,0.0020013836,0.0013100223,0.0013155399,0.00053992664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044808033,0.000106962296,0.0044669365,0.00024903062,0.000107740474,0.00034666096,0.00034283928,0.46114612,0.03750474,0.010322862,0.0036432615,0.48131484],"study_design_scores_gemma":[0.0000053134113,0.000018067829,0.00032758934,0.0000055446994,0.0000092267455,0.000038533566,0.000014127998,0.9933642,0.0034116684,0.0022961635,0.000502566,0.0000069818034],"about_ca_topic_score_codex":0.009211737,"about_ca_topic_score_gemma":0.010293483,"teacher_disagreement_score":0.009211737,"about_ca_system_score_codex":0.00088901795,"about_ca_system_score_gemma":0.0015252539,"threshold_uncertainty_score":0.018316269},"labels":[],"label_agreement":null},{"id":"W4404781665","doi":"10.18653/v1/2024.findings-emnlp.192","title":"HoneyComb: A Flexible LLM-Based Agent System for Materials Science","year":2024,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Honeycomb; Computer science; Materials science; Composite material","score_opus":0.021765252225546605,"score_gpt":0.26106580243842614,"score_spread":0.23930055021287955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404781665","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073970924,0.00038992648,0.9107326,0.00072354614,0.00018804506,0.00047818501,0.0016524751,0.07272346,0.0057146205],"genre_scores_gemma":[0.1126906,0.00036935252,0.8723212,0.00061720144,0.000053535015,0.000999424,0.004019712,0.0026472632,0.006281793],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993419,0.00018466888,0.000079821555,0.0001703261,0.00017795274,0.00004524716],"domain_scores_gemma":[0.9986021,0.00062192185,0.000099858575,0.0004218766,0.00015006983,0.00010408961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016011412,0.0010766217,0.0006917083,0.0007644133,0.00083751965,0.0019134033,0.0037815878,0.0017635553,0.009172487],"category_scores_gemma":[0.0055022244,0.00079247606,0.0012428878,0.00052099826,0.0009899111,0.0037716348,0.0048862984,0.0023389573,0.0034837022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001393374,0.0008215797,0.0058309142,0.0025025662,0.00058640837,0.0014548794,0.0014889222,0.25870073,0.037933014,0.120488055,0.13380153,0.43499804],"study_design_scores_gemma":[0.00013548999,0.00008436691,0.00029260118,0.00007123524,0.00006166214,0.00016048457,0.000078358775,0.87686574,0.007815515,0.039925806,0.07444848,0.000060295348],"about_ca_topic_score_codex":0.0058819163,"about_ca_topic_score_gemma":0.010836931,"teacher_disagreement_score":0.009172487,"about_ca_system_score_codex":0.0009961672,"about_ca_system_score_gemma":0.0018739402,"threshold_uncertainty_score":0.030685067},"labels":[],"label_agreement":null},{"id":"W4405209224","doi":"10.1080/17480930.2024.2437737","title":"Automated open-stope design optimization through machine learning methods","year":2024,"lang":"en","type":"article","venue":"International Journal of Mining Reclamation and Environment","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Pillar; Principal component analysis; Identification (biology); Computer science; Component (thermodynamics); Engineering; Data mining; Engineering drawing; Artificial intelligence; Structural engineering","score_opus":0.037685066791250194,"score_gpt":0.3220398166438792,"score_spread":0.284354749852629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405209224","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017956797,0.0003640318,0.9763446,0.00015020587,0.000035306428,0.0000756472,0.00014432614,0.0019312161,0.002997913],"genre_scores_gemma":[0.36028516,0.00023733296,0.6336215,0.00017805093,0.00004166644,0.00034673148,0.000977753,0.00039543145,0.003916323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991191,0.00029010169,0.00004138972,0.00022422879,0.00024083462,0.000084266496],"domain_scores_gemma":[0.99815446,0.0012635397,0.00011906692,0.00014638276,0.00027325065,0.00004331393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011248126,0.0015706634,0.0012890281,0.0013066354,0.00044078924,0.0012767275,0.0010484663,0.0010183831,0.0036882875],"category_scores_gemma":[0.0028764657,0.00077822467,0.001086009,0.00081902667,0.0006928312,0.00088214607,0.000995855,0.0013357189,0.0011571506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050771356,0.00008079011,0.0007077482,0.00010410177,0.000043536013,0.000044849,0.00003735592,0.882261,0.0016792836,0.002090192,0.0016772132,0.11122319],"study_design_scores_gemma":[0.0000070380584,0.000021908596,0.00009030167,0.0000065678287,0.0000036321464,0.000007804803,0.000010162872,0.997232,0.00043000086,0.0015463446,0.00064028834,0.000003848701],"about_ca_topic_score_codex":0.00394835,"about_ca_topic_score_gemma":0.006709664,"teacher_disagreement_score":0.00394835,"about_ca_system_score_codex":0.0006060627,"about_ca_system_score_gemma":0.0016310929,"threshold_uncertainty_score":0.012338519},"labels":[],"label_agreement":null},{"id":"W4405273113","doi":"10.1016/j.compind.2024.104215","title":"Intelligent prediction and soft-sensing of comprehensive production indicators for iron ore sintering: A review","year":2024,"lang":"en","type":"review","venue":"Computers in Industry","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Sintering; Production (economics); Iron ore; Process engineering; Computer science; Environmental science; Metallurgy; Engineering; Materials science","score_opus":0.062270167505928474,"score_gpt":0.32266063246355486,"score_spread":0.2603904649576264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405273113","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008774965,0.99462515,0.0035206268,0.00014632857,0.00014660503,0.000010390307,0.000055543143,0.00002905603,0.0005887068],"genre_scores_gemma":[0.007514416,0.9882504,0.003187152,0.00015391158,0.00024966573,0.000016986287,0.00009533894,0.0000056510503,0.0005265937],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997185,0.000030347886,0.000032554773,0.000099604484,0.00009916736,0.000019888075],"domain_scores_gemma":[0.99935025,0.00035738357,0.000097519056,0.00002361474,0.00015176255,0.000019462355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008728049,0.0013019969,0.0018978133,0.0015094092,0.00018326119,0.0010334502,0.0011146903,0.0010967907,0.0012994163],"category_scores_gemma":[0.0011321628,0.0004515157,0.0010579368,0.0022149074,0.00040176703,0.0012523618,0.0006396601,0.00087166333,0.0007262373],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000928281,0.00017661112,0.0008959914,0.016106257,0.00028992505,0.000087260414,0.00005114656,0.0037346045,0.004379613,0.0022101174,0.007858529,0.96411705],"study_design_scores_gemma":[0.000105914274,0.0018917057,0.0125006335,0.012510652,0.003538748,0.0019307102,0.00041120956,0.03676282,0.029569136,0.011659003,0.888642,0.00047737735],"about_ca_topic_score_codex":0.0021661362,"about_ca_topic_score_gemma":0.0020367324,"teacher_disagreement_score":0.0021661362,"about_ca_system_score_codex":0.00027775488,"about_ca_system_score_gemma":0.0007567956,"threshold_uncertainty_score":0.004615903},"labels":[],"label_agreement":null},{"id":"W4405519074","doi":"10.2316/j.2025.201-0465","title":"APPLICATION OF OPTIMISED YOLOv4 ALGORITHM AND MULTI-SOURCE INFORMATION FUSION IN BLIND ZONE WARNING AND DETECTION OF CAR A-PILLARS, 108-118.","year":2024,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Information fusion; Fusion; Algorithm; Artificial intelligence; Pattern recognition (psychology); Warning system; Sensor fusion; Data mining; Telecommunications","score_opus":0.0041184208682220735,"score_gpt":0.19196180940156382,"score_spread":0.18784338853334176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405519074","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08306278,0.0013632859,0.9078314,0.00026122123,0.00023141725,0.00008591649,0.00023215666,0.0014589285,0.005472866],"genre_scores_gemma":[0.45915532,0.00059095264,0.52892625,0.00007341046,0.000040705912,0.00007601834,0.0005977333,0.00018252929,0.010357091],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999803,0.000039027058,0.000012348383,0.000043191932,0.000076165,0.000026203728],"domain_scores_gemma":[0.99983096,0.000040092425,0.000014377988,0.00001302943,0.0000937924,0.000007676521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005437666,0.0005497301,0.0005610553,0.0008216176,0.00046048098,0.00074139214,0.0005493226,0.000766096,0.0024606392],"category_scores_gemma":[0.0008500099,0.00029899,0.00068836595,0.0005586162,0.00026316004,0.00061734713,0.0004996984,0.00036346965,0.00078540616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010332797,0.00016250415,0.0033322833,0.000342686,0.00020973479,0.00017667068,0.0001546101,0.20521846,0.101148374,0.0048224377,0.004988989,0.67841],"study_design_scores_gemma":[0.00003373362,0.00013506362,0.002919158,0.00001907166,0.000049797796,0.00010255469,0.000050942755,0.95536095,0.03660452,0.0011933444,0.0035032136,0.000027608487],"about_ca_topic_score_codex":0.005383007,"about_ca_topic_score_gemma":0.0067666355,"teacher_disagreement_score":0.005383007,"about_ca_system_score_codex":0.0004608327,"about_ca_system_score_gemma":0.0009496336,"threshold_uncertainty_score":0.010703385},"labels":[],"label_agreement":null},{"id":"W4405529641","doi":"10.1016/j.powtec.2024.120558","title":"CG-SOLOv2: Enhanced instance segmentation for coal-gangue with novel feature extraction and fusion modules","year":2024,"lang":"en","type":"article","venue":"Powder Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakes Environmental (Canada); University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; Austrian Institute of Technology","keywords":"Fusion; Segmentation; Artificial intelligence; Extraction (chemistry); Coal; Pattern recognition (psychology); Gangue; Feature (linguistics); Computer science; Feature extraction; Materials science; Engineering; Chemistry; Waste management; Chromatography; Metallurgy","score_opus":0.007763404491472767,"score_gpt":0.2433674987500667,"score_spread":0.2356040942585939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405529641","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039299976,0.0006883144,0.86981195,0.00017311309,0.00016919166,0.00017806016,0.0041107405,0.0818999,0.0036687541],"genre_scores_gemma":[0.18535419,0.00022025616,0.7905454,0.00029755489,0.00005621952,0.00021326063,0.012960993,0.0038565653,0.0064955903],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971133,0.000019345678,0.000011478453,0.00011220819,0.000093940864,0.0000517094],"domain_scores_gemma":[0.99988353,0.000028992754,0.0000080292975,0.0000344461,0.00002879054,0.000016175647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003227108,0.0013481207,0.0011059922,0.0012407936,0.0004983781,0.0012783215,0.0019189944,0.001337231,0.006675625],"category_scores_gemma":[0.0006885943,0.00050669385,0.0013467304,0.0011886123,0.00025757457,0.0010691411,0.0014364197,0.0009614116,0.0026058152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001351522,0.00031256722,0.0028193346,0.00034943997,0.00034933802,0.00038848686,0.00015110498,0.032283243,0.12272641,0.0038527157,0.044884443,0.79053134],"study_design_scores_gemma":[0.00010003858,0.00014005727,0.002591429,0.000018506744,0.00006870851,0.00040557655,0.000072410825,0.85981715,0.10892479,0.0045980266,0.023202173,0.00006117867],"about_ca_topic_score_codex":0.0055718985,"about_ca_topic_score_gemma":0.011936311,"teacher_disagreement_score":0.006675625,"about_ca_system_score_codex":0.00047401944,"about_ca_system_score_gemma":0.0008518675,"threshold_uncertainty_score":0.022332191},"labels":[],"label_agreement":null},{"id":"W4405843295","doi":"10.18280/rcma.340610","title":"Implementation of Artificial Neural Network for Forecasting California Bearing Ratio of Treated Cement-Laterite Soil Improved with Bamboo Leaf Ash","year":2024,"lang":"en","type":"article","venue":"Revue des composites et des matériaux avancés","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bamboo; Laterite; Cement; Artificial neural network; Bearing (navigation); Environmental science; California bearing ratio; Soil science; Machine learning; Materials science; Artificial intelligence; Computer science; Metallurgy; Soil water; Composite material; Nickel","score_opus":0.056454047815040334,"score_gpt":0.2793166624860047,"score_spread":0.22286261467096435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405843295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93248886,0.0003519622,0.061806988,0.00013934699,0.00017914824,0.000039718507,0.00026673492,0.00068767305,0.004039584],"genre_scores_gemma":[0.99424803,0.000053890213,0.0047430405,0.0000070567266,0.000006266096,0.000011679287,0.00010224996,0.0000066090442,0.000821146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999236,0.000012120895,0.0000064087158,0.000023991019,0.000019645713,0.0000142395265],"domain_scores_gemma":[0.9998155,0.00006622937,0.000016962034,0.000008883027,0.00008015513,0.000012222657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002961928,0.00049087004,0.00031726641,0.0003963913,0.00021861884,0.000350875,0.00043302015,0.00050732895,0.0009500825],"category_scores_gemma":[0.00054753746,0.00019002934,0.0003558655,0.00031295547,0.00010676542,0.0003203682,0.00012380838,0.00040414536,0.00013523705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003988303,0.0002577012,0.010721461,0.00011724628,0.000075640855,0.00010480592,0.000041521515,0.90197796,0.014001877,0.00026699956,0.0007517561,0.07128416],"study_design_scores_gemma":[0.0000050600925,0.000024131052,0.0017121632,0.0000013818609,0.0000071213253,0.0000019793565,0.000005532855,0.9964438,0.0017083149,0.000031673964,0.00005625704,0.0000026346117],"about_ca_topic_score_codex":0.027985929,"about_ca_topic_score_gemma":0.021486787,"teacher_disagreement_score":0.027985929,"about_ca_system_score_codex":0.0004599721,"about_ca_system_score_gemma":0.00039163744,"threshold_uncertainty_score":0.055646062},"labels":[],"label_agreement":null},{"id":"W4406415227","doi":"10.1080/19236026.2024.2430154","title":"Some basic improvements in mineral resource estimation and reporting","year":2025,"lang":"en","type":"article","venue":"CIM Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cermaq (Canada)","funders":"","keywords":"Estimator; Dilution; Porosity; Resource (disambiguation); Estimation; Density estimation; Mineral resource classification; Mineralogy; Bulk density; Environmental science; Geology; Computer science; Statistics; Mathematics; Soil science; Geochemistry; Engineering; Thermodynamics; Physics; Geotechnical engineering","score_opus":0.015742461424287084,"score_gpt":0.2670200660278956,"score_spread":0.2512776046036085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406415227","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012371364,0.007976538,0.7513373,0.0726977,0.01246818,0.0029457489,0.011736363,0.025717322,0.102749534],"genre_scores_gemma":[0.051342066,0.006586092,0.85549355,0.0059785238,0.0068935715,0.0012865866,0.008977219,0.0019721857,0.06147023],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.95763516,0.0145451985,0.007902957,0.003674356,0.014532665,0.001709612],"domain_scores_gemma":[0.8359198,0.026105344,0.007208975,0.045055617,0.08446085,0.0012494313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.047079757,0.0022036477,0.0012917165,0.0056150076,0.0021817281,0.006195588,0.0067105344,0.003702613,0.055198368],"category_scores_gemma":[0.109544784,0.0016877948,0.0023946716,0.007635002,0.0016334163,0.012647913,0.0031395315,0.0049589993,0.045480877],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053099974,0.000623553,0.009191611,0.0015870315,0.0001355387,0.0005923431,0.0011938941,0.006351212,0.010238954,0.057152703,0.21792151,0.69448066],"study_design_scores_gemma":[0.00013484567,0.00050049054,0.015221281,0.0010726814,0.00014157416,0.0013229687,0.00064248167,0.013059581,0.019591082,0.025983518,0.9219264,0.00040324996],"about_ca_topic_score_codex":0.01415974,"about_ca_topic_score_gemma":0.008427242,"teacher_disagreement_score":0.055198368,"about_ca_system_score_codex":0.0024862979,"about_ca_system_score_gemma":0.0046806606,"threshold_uncertainty_score":0.24898452},"labels":[],"label_agreement":null},{"id":"W4407236617","doi":"10.3390/pr13020443","title":"Towards a Dynamic Optimisation of Comminution Circuit Under Geological Uncertainties","year":2025,"lang":"en","type":"article","venue":"Processes","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Comminution; Stockpile; Beneficiation; Mining engineering; Geology; Lithology; Mineral processing; Mineral exploration; Gold ore; Drilling; Payload (computing); Environmental science; Geochemistry; Engineering; Computer science; Metallurgy; Materials science; Mechanical engineering","score_opus":0.02070043781007676,"score_gpt":0.25668469022467666,"score_spread":0.2359842524145999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407236617","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24038109,0.0006484645,0.7445486,0.0004019816,0.00004781976,0.00015168176,0.00021356413,0.0005534669,0.013053304],"genre_scores_gemma":[0.93881816,0.00018276721,0.05823278,0.00006364366,0.000010644,0.000133136,0.00012632563,0.00007829454,0.0023542636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998171,0.000040346087,0.000008612267,0.00005792984,0.00003614324,0.000039966766],"domain_scores_gemma":[0.999212,0.00052278343,0.000108828135,0.000035734163,0.00008630823,0.00003418761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006161501,0.0009509872,0.00087991095,0.00051459426,0.00034078554,0.0012180685,0.0007158417,0.0012957946,0.001917074],"category_scores_gemma":[0.0020910476,0.0005716232,0.0005470098,0.00039425583,0.0006022456,0.00087212276,0.00082881685,0.00079893816,0.00024422116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001799371,0.000012901844,0.00048539235,0.000030206244,0.000014889325,0.000028864757,0.000023933535,0.99169606,0.0011297044,0.00050813623,0.00009712764,0.0059548016],"study_design_scores_gemma":[0.0000044403664,0.000025041518,0.0003475066,0.0000054314614,0.000005277785,0.0000065174054,0.0000190534,0.99842215,0.00030277204,0.0005316025,0.00032685863,0.0000032113694],"about_ca_topic_score_codex":0.006790511,"about_ca_topic_score_gemma":0.0053320313,"teacher_disagreement_score":0.006790511,"about_ca_system_score_codex":0.0006103814,"about_ca_system_score_gemma":0.0010153367,"threshold_uncertainty_score":0.013502002},"labels":[],"label_agreement":null},{"id":"W4407385735","doi":"10.1139/cgj-2024-0421","title":"Investigation of the effects of liquid medium and electrical parameters on hydraulic-electric pulsed discharge rock-breaking","year":2025,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Sichuan Province; National Natural Science Foundation of China","keywords":"Geotechnical engineering; Electric discharge; Water discharge; Geology; Materials science; Chemistry; Electrode","score_opus":0.006016551180218881,"score_gpt":0.19731463130216212,"score_spread":0.19129808012194324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407385735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919748,0.0006836789,0.005262525,0.000075939985,0.000021269692,0.0000125844845,0.00009508028,0.00008289016,0.0017913311],"genre_scores_gemma":[0.99905604,0.00019044771,0.00048026032,0.000010683948,0.000001996442,0.0000039563497,0.000028912098,0.000008795452,0.00021893467],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997904,0.00002084301,0.0000130930985,0.000038728253,0.000085932305,0.000051022176],"domain_scores_gemma":[0.99936,0.00034032052,0.00010451828,0.000047063826,0.000118802265,0.000029322704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028311386,0.00027147046,0.0003085339,0.00032160053,0.00026668326,0.0004657402,0.00028163343,0.00031660742,0.0010300787],"category_scores_gemma":[0.0011112478,0.0001856508,0.00029968575,0.0003725551,0.0003901086,0.0007998934,0.0003019169,0.00042120094,0.00016401708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009093103,0.00019614941,0.011574031,0.00062610663,0.000075089316,0.0009386948,0.000269847,0.045634866,0.9056336,0.0008119641,0.0006054632,0.03272481],"study_design_scores_gemma":[0.00004324373,0.0007695539,0.02087491,0.00003124523,0.00012343288,0.00034248809,0.00048683406,0.13262089,0.84223396,0.00047690087,0.0019328694,0.00006369664],"about_ca_topic_score_codex":0.0009668952,"about_ca_topic_score_gemma":0.0009284896,"teacher_disagreement_score":0.0010300787,"about_ca_system_score_codex":0.0003130656,"about_ca_system_score_gemma":0.00017208025,"threshold_uncertainty_score":0.003445983},"labels":[],"label_agreement":null},{"id":"W4407549512","doi":"10.3389/feart.2025.1508690","title":"From rocks to pixels: a comprehensive framework for grain shape characterization through the image analysis of size, orientation, and form descriptors","year":2025,"lang":"en","type":"article","venue":"Frontiers in Earth Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Orientation (vector space); Characterization (materials science); Pixel; Geology; Image (mathematics); Artificial intelligence; Mineralogy; Computer vision; Geometry; Materials science; Computer science; Mathematics; Nanotechnology","score_opus":0.009791284144614042,"score_gpt":0.260717092254935,"score_spread":0.25092580811032095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407549512","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004546584,0.00080055033,0.9856969,0.00014781405,0.00003298649,0.00011858969,0.0021325515,0.0048353854,0.0016885651],"genre_scores_gemma":[0.06754014,0.0018251557,0.91935754,0.00018307786,0.000085616084,0.0005082442,0.0066654133,0.0014292576,0.0024055094],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924797,0.000087190354,0.000066121494,0.00023982872,0.000287806,0.000071037044],"domain_scores_gemma":[0.99945945,0.00013037804,0.00008032719,0.0001292188,0.0001511267,0.000049554263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079881895,0.0015560728,0.0010526653,0.0055444986,0.00061950675,0.0034895027,0.0018402971,0.0009600162,0.0037811515],"category_scores_gemma":[0.001941244,0.0006338596,0.002237604,0.0038787997,0.0014276142,0.002930844,0.0024696365,0.0017363846,0.0028438617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003017248,0.00022801157,0.013669637,0.0017025803,0.00033622762,0.0006216609,0.0012767313,0.07102938,0.06450825,0.10411846,0.02959899,0.7126084],"study_design_scores_gemma":[0.000049889535,0.00023887206,0.020285172,0.00036060828,0.0002145844,0.0009930101,0.0010342766,0.62140435,0.034431465,0.18271747,0.13800637,0.00026403688],"about_ca_topic_score_codex":0.008118463,"about_ca_topic_score_gemma":0.008996106,"teacher_disagreement_score":0.008118463,"about_ca_system_score_codex":0.0008106484,"about_ca_system_score_gemma":0.001260709,"threshold_uncertainty_score":0.016142368},"labels":[],"label_agreement":null},{"id":"W4407633907","doi":"10.1617/s11527-025-02591-3","title":"Classification and quantification of minor iron-sulfide concentrations in concrete aggregate using automated mineralogy","year":2025,"lang":"en","type":"article","venue":"Materials and Structures","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Statens vegvesen; Norges Forskningsråd","keywords":"Aggregate (composite); Solid mechanics; Sulfide; Mineralogy; Iron sulfide; Geology; Environmental science; Materials science; Metallurgy; Composite material; Sulfur","score_opus":0.018213838228341196,"score_gpt":0.2662105491904082,"score_spread":0.24799671096206702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407633907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9030377,0.00054777507,0.08648527,0.000059590504,0.00003223213,0.00024211059,0.0023774179,0.0024580674,0.0047598216],"genre_scores_gemma":[0.91114783,0.00024571724,0.08413812,0.000029221876,0.000018969447,0.000112253845,0.0019242942,0.000051705043,0.0023318853],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99946445,0.000060404163,0.000038860926,0.00013900611,0.00024401055,0.000053299726],"domain_scores_gemma":[0.9995012,0.00008095287,0.00011704401,0.00003930891,0.00022192333,0.000039502593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005815834,0.00037800745,0.00031362064,0.005445,0.00027127407,0.00056290894,0.00039930406,0.0005412749,0.0012223008],"category_scores_gemma":[0.0006937261,0.00017103236,0.00024527335,0.0014534642,0.000265716,0.0003356887,0.00044212784,0.00013532657,0.0008360433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063381414,0.0002002248,0.26110137,0.00037781877,0.000103386934,0.00025675536,0.00026457966,0.008133459,0.4821945,0.0004622515,0.0015333133,0.24473849],"study_design_scores_gemma":[0.000053835312,0.00035314666,0.52781266,0.000054340195,0.00014034173,0.0005611063,0.0003296624,0.24080916,0.22251971,0.0009899152,0.006278001,0.000098127486],"about_ca_topic_score_codex":0.005636037,"about_ca_topic_score_gemma":0.00821515,"teacher_disagreement_score":0.005636037,"about_ca_system_score_codex":0.00034979839,"about_ca_system_score_gemma":0.0003820418,"threshold_uncertainty_score":0.011206448},"labels":[],"label_agreement":null},{"id":"W4407641291","doi":"10.1016/j.jhazmat.2025.137654","title":"Machine learning-aided model for predicting oily sludge pyrolysis under various feedstock and operating conditions","year":2025,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Raw material; Pyrolysis; Waste management; Process engineering; Pulp and paper industry; Environmental science; Engineering; Chemistry; Organic chemistry","score_opus":0.012738645312542806,"score_gpt":0.2526448194813459,"score_spread":0.23990617416880305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407641291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5358725,0.0004982736,0.45644698,0.0003103541,0.00007387545,0.00016068624,0.0005700365,0.0015061133,0.0045612203],"genre_scores_gemma":[0.9684425,0.00009280631,0.0293607,0.00004036421,0.000009498663,0.00013418743,0.0002657385,0.000023980825,0.0016302576],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998192,0.000063751955,0.0000113850565,0.00004155792,0.000039480547,0.000024610563],"domain_scores_gemma":[0.99949694,0.00030261188,0.000055659766,0.00001862215,0.00011179152,0.000014414339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079713017,0.0006908275,0.00064463937,0.00045811984,0.00030066422,0.0005963169,0.0005437199,0.00094605563,0.0010008429],"category_scores_gemma":[0.0013386651,0.00042075428,0.00079720234,0.00031033464,0.00019186732,0.00041469032,0.00033818616,0.0006659079,0.00030702332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003067694,0.000026640872,0.0006596079,0.000017027665,0.000013022663,0.000015124817,0.0000060167295,0.9944384,0.0010656705,0.000096284115,0.0000596962,0.0035717217],"study_design_scores_gemma":[0.0000016397759,0.000007857274,0.00010002741,8.380469e-7,0.000001961333,0.0000012245332,7.3433785e-7,0.9995944,0.00022527104,0.00003599548,0.000028952323,0.0000012231081],"about_ca_topic_score_codex":0.010840888,"about_ca_topic_score_gemma":0.007080303,"teacher_disagreement_score":0.010840888,"about_ca_system_score_codex":0.0006327764,"about_ca_system_score_gemma":0.0010308066,"threshold_uncertainty_score":0.021555603},"labels":[],"label_agreement":null},{"id":"W4407686663","doi":"10.22541/essoar.173991366.63994819/v1","title":"Soil Organic Carbon Measurements Using Acid Digestion Are Not Suitable for FT-NIR Models Training in Calcareous Soils of Saskatchewan.","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Calcareous; Soil water; Environmental science; Soil science; Carbon fibers; Soil carbon; Calcareous soils; Total organic carbon; Environmental chemistry; Geology; Chemistry; Mathematics","score_opus":0.09180938740338317,"score_gpt":0.27329467889035386,"score_spread":0.18148529148697068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407686663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732606,0.00047041205,0.01733044,0.00020756216,0.00003717383,0.00007634562,0.0026819035,0.00042023262,0.0055153733],"genre_scores_gemma":[0.9803832,0.0004376496,0.01403645,0.00018880948,0.0000058023843,0.00005530333,0.003327295,0.000066573055,0.001498865],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99957055,0.00005903965,0.000035017052,0.00012438715,0.00015209422,0.000058933943],"domain_scores_gemma":[0.9992549,0.0002174856,0.0001079176,0.00007956927,0.00029708052,0.000043056254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088596577,0.0005738091,0.00027256645,0.0005072385,0.0004971047,0.0012217124,0.0005519489,0.00035001556,0.0011181777],"category_scores_gemma":[0.0018989507,0.00030373575,0.00036885327,0.0013213684,0.00032880425,0.0006503311,0.00035550693,0.0004203129,0.00048273304],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003347922,0.00018300087,0.618463,0.00055747136,0.00088354346,0.00034360998,0.00046678906,0.051284663,0.14062665,0.00043668677,0.003471791,0.1829481],"study_design_scores_gemma":[0.000047747406,0.00013302427,0.8632824,0.000112949856,0.00023340942,0.00016560237,0.001270738,0.08059666,0.04449296,0.00082017004,0.008780091,0.00006424601],"about_ca_topic_score_codex":0.38165548,"about_ca_topic_score_gemma":0.7314414,"teacher_disagreement_score":0.61834455,"about_ca_system_score_codex":0.002335387,"about_ca_system_score_gemma":0.003555689,"threshold_uncertainty_score":0.758868},"labels":[],"label_agreement":null},{"id":"W4407744004","doi":"10.3390/min15020194","title":"Prediction of Mine Waste Rock Drainage Quantity Using a Machine Learning Model with Physical Constraints","year":2025,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; BC Innovation Council; University of British Columbia","funders":"National Research Council Canada","keywords":"Drainage; Mining engineering; Environmental science; Geology; Computer science; Ecology","score_opus":0.025270646467358007,"score_gpt":0.24494225344656034,"score_spread":0.21967160697920235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407744004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54195464,0.00027079295,0.45308384,0.00048240213,0.000060403036,0.00007323056,0.00026003004,0.00067638996,0.0031382963],"genre_scores_gemma":[0.9815812,0.00007203377,0.016979856,0.000037585072,0.000014290468,0.00006648629,0.00012407992,0.000012612569,0.0011116996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983096,0.000029472023,0.000014253369,0.000065740685,0.000034484292,0.000025008096],"domain_scores_gemma":[0.9994574,0.0002919437,0.00007602295,0.000025855814,0.00012522619,0.000023579083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040916805,0.00060591486,0.0005918248,0.00037277307,0.0002969047,0.00068063283,0.0007397062,0.0010233378,0.0006927694],"category_scores_gemma":[0.0013001591,0.0004279883,0.0006422456,0.00032604884,0.00040693991,0.00072245626,0.0004224467,0.00068427896,0.0001234798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010622065,0.000014807679,0.00096138474,0.0000059945396,0.000005121,0.000020604632,0.000005179981,0.99567837,0.00048161423,0.00021921775,0.00004636847,0.0025507538],"study_design_scores_gemma":[0.0000010885232,0.000002174912,0.000076075936,4.320565e-7,9.200695e-7,0.0000010825478,4.4023912e-7,0.9997497,0.00008369862,0.00006827544,0.000015148499,9.5265204e-7],"about_ca_topic_score_codex":0.015343714,"about_ca_topic_score_gemma":0.007934792,"teacher_disagreement_score":0.015343714,"about_ca_system_score_codex":0.00072904676,"about_ca_system_score_gemma":0.0010760572,"threshold_uncertainty_score":0.030508816},"labels":[],"label_agreement":null},{"id":"W4407761729","doi":"10.1063/5.0256633","title":"Optimization of an empirical equation in drop shape theory and a structural–mechanical analysis of a caved ore and rock particle flow system","year":2025,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Void (composites); Void ratio; Mechanics; Isotropy; Ellipsoid; Drop (telecommunication); Shape factor; Geotechnical engineering; Physics; Materials science; Composite material; Geometry; Geology; Engineering; Mathematics; Mechanical engineering; Optics","score_opus":0.015488573169234255,"score_gpt":0.267379323874869,"score_spread":0.25189075070563477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407761729","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18106678,0.00013991614,0.81336004,0.00018666226,0.000029028188,0.00013335889,0.00009149892,0.00017203251,0.004820703],"genre_scores_gemma":[0.8684588,0.00020620295,0.12825392,0.00005989236,0.000021009106,0.00023461849,0.0001333719,0.00007816579,0.0025539626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975616,0.00004372987,0.000014498574,0.00004077137,0.00011504038,0.000029747724],"domain_scores_gemma":[0.999488,0.00029551887,0.000058303827,0.000038044243,0.0001083389,0.000011811977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008985581,0.0003995575,0.00043531656,0.00058570236,0.00029071298,0.0005211209,0.0007019028,0.00061316235,0.001015215],"category_scores_gemma":[0.0016305527,0.0002524795,0.00073836173,0.00032332272,0.00051139,0.00048929965,0.00040299067,0.0005153138,0.00017697753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041372245,0.00011781777,0.004594203,0.00011151783,0.00002211658,0.00022204341,0.00008363028,0.9036229,0.04067467,0.014961859,0.00039299938,0.03515481],"study_design_scores_gemma":[0.0000037852922,0.000017560948,0.0005591505,0.0000021939222,0.0000031261484,0.000017994187,0.000009141143,0.9967932,0.0019325558,0.0004540768,0.00020274585,0.0000043381915],"about_ca_topic_score_codex":0.003993336,"about_ca_topic_score_gemma":0.003278617,"teacher_disagreement_score":0.003993336,"about_ca_system_score_codex":0.0006341361,"about_ca_system_score_gemma":0.0010777443,"threshold_uncertainty_score":0.007940173},"labels":[],"label_agreement":null},{"id":"W4407957284","doi":"10.1016/j.apenergy.2025.125589","title":"Energy efficiency analysis of microwave treatment in rocks: from mine-to-mill operations","year":2025,"lang":"en","type":"article","venue":"Applied Energy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Mill; Engineering; Waste management; Microwave; Environmental science; Mining engineering; Forensic engineering; Mechanical engineering; Telecommunications","score_opus":0.006455436287282781,"score_gpt":0.21391082482411972,"score_spread":0.20745538853683693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407957284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98500615,0.0010341431,0.011094345,0.000036980728,0.00001441697,0.00004023794,0.00028013787,0.00008931469,0.0024042681],"genre_scores_gemma":[0.994423,0.00078917376,0.0036862204,0.000017418668,0.000004807419,0.000028524837,0.00022255741,0.00002462106,0.0008037341],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997003,0.000025464638,0.000019111223,0.00005778464,0.00016096757,0.00003638174],"domain_scores_gemma":[0.99970776,0.00011046859,0.000051468338,0.000044453736,0.00007703343,0.000008838864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005232734,0.00023339252,0.00039876753,0.00061197864,0.00020886736,0.00041239554,0.00038403078,0.00030208734,0.0012650947],"category_scores_gemma":[0.0006217729,0.00016821992,0.00042460722,0.0006624085,0.0002844344,0.0004592269,0.00028511914,0.0004568935,0.00032308177],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068129896,0.00020533448,0.017752752,0.0006573637,0.00006526746,0.0002813976,0.00022456655,0.02006692,0.89858305,0.0010258446,0.00037352665,0.060082722],"study_design_scores_gemma":[0.000013242601,0.0010329837,0.0432335,0.000034194036,0.00008303443,0.00019582134,0.00030985076,0.031848297,0.91982925,0.00035118664,0.0030376993,0.000030976964],"about_ca_topic_score_codex":0.00097502244,"about_ca_topic_score_gemma":0.0012113047,"teacher_disagreement_score":0.0012650947,"about_ca_system_score_codex":0.00031168433,"about_ca_system_score_gemma":0.00017405805,"threshold_uncertainty_score":0.004232228},"labels":[],"label_agreement":null},{"id":"W4408154368","doi":"10.17159/2411-9717/3376/2025","title":"Simulation of kinetic joint forces in a nutating grinding mill","year":2025,"lang":"en","type":"article","venue":"Journal of the Southern African Institute of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"De Beers (Canada)","funders":"","keywords":"Mill; Grinding; Kinematics; Joint (building); Materials science; Mechanical engineering; Metallurgy; Mathematics; Engineering; Structural engineering; Physics; Classical mechanics","score_opus":0.016333152837879516,"score_gpt":0.23397570638804463,"score_spread":0.21764255355016512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408154368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9673245,0.000058192178,0.026246974,0.000061275554,0.0000148650715,0.000056149765,0.00019858657,0.00017659538,0.0058629373],"genre_scores_gemma":[0.992721,0.000034948887,0.0059419344,0.000008979461,0.0000013496509,0.000036705704,0.0001001704,0.000016592672,0.0011382865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998592,0.00002524623,0.000008432767,0.000022686152,0.00004857408,0.000035695193],"domain_scores_gemma":[0.99952006,0.00031429715,0.000045837,0.0000274457,0.000050771112,0.000041596868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035572067,0.0003803839,0.00048766067,0.0003801046,0.0004336559,0.0007302525,0.0006745276,0.0011291127,0.0018558184],"category_scores_gemma":[0.00092363026,0.00028425088,0.00038910852,0.00031536052,0.00054904073,0.00033852714,0.00044862577,0.00044728408,0.00018381578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007627722,0.000053418997,0.0020596576,0.000026721054,0.0000063699517,0.00010812928,0.00008319072,0.9907487,0.003952115,0.00046386916,0.00006955732,0.002352025],"study_design_scores_gemma":[0.000010879775,0.00004405998,0.00065990246,0.000002864724,0.0000019247395,0.000009117742,0.000030076942,0.9980994,0.00092949666,0.00008048393,0.00012793232,0.0000038948797],"about_ca_topic_score_codex":0.009717952,"about_ca_topic_score_gemma":0.0069397953,"teacher_disagreement_score":0.009717952,"about_ca_system_score_codex":0.0005369756,"about_ca_system_score_gemma":0.00068277516,"threshold_uncertainty_score":0.019322753},"labels":[],"label_agreement":null},{"id":"W4408475422","doi":"10.5194/egusphere-egu25-9200","title":"Satellite radar observation and advanced interpretation for stability monitoring of open pits: the Manefay failure (Kennecott Copper Mine), Utah, USA","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Satellite; Radar; Remote sensing; Copper mine; Environmental science; Geology; Copper; Engineering; Telecommunications; Aerospace engineering; Materials science; Metallurgy","score_opus":0.03668563686874369,"score_gpt":0.2926221518438215,"score_spread":0.2559365149750778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408475422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8948384,0.0056807958,0.020192567,0.005167515,0.0003212286,0.0005701645,0.0057389378,0.0017089985,0.06578141],"genre_scores_gemma":[0.9138455,0.0017407992,0.03061227,0.00045017217,0.00021726303,0.00015208946,0.0048861746,0.00012594696,0.047969922],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99977165,0.000023696544,0.0000072439366,0.00004105026,0.00013874257,0.000017602053],"domain_scores_gemma":[0.99951816,0.00005231052,0.00002833356,0.00002658774,0.00033735757,0.00003731654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042901724,0.00025765636,0.0001582884,0.0011777265,0.0008248361,0.00039172947,0.00057677965,0.0005121432,0.0022177326],"category_scores_gemma":[0.0005624595,0.00017405505,0.000072304036,0.0007623171,0.0002986447,0.0003673284,0.00042091656,0.00033711427,0.0007249084],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042798163,0.00041154158,0.34782034,0.00027886292,0.000095760275,0.0022161826,0.0016298313,0.010783285,0.06689047,0.00084410363,0.098860614,0.46974102],"study_design_scores_gemma":[0.000082876424,0.00023851766,0.85946006,0.00011940387,0.00007216205,0.00062692823,0.0012106014,0.0445204,0.011475739,0.00066939334,0.0814635,0.00006042703],"about_ca_topic_score_codex":0.121946074,"about_ca_topic_score_gemma":0.27840248,"teacher_disagreement_score":0.121946074,"about_ca_system_score_codex":0.0007138348,"about_ca_system_score_gemma":0.00095589634,"threshold_uncertainty_score":0.24247253},"labels":[],"label_agreement":null},{"id":"W4408557526","doi":"10.1177/25726668251323986","title":"Data driven block discretisation method for predicting the bulk ore sorting benefits applied at distinctly heterogeneous open pit mines","year":2025,"lang":"en","type":"article","venue":"Mining Technology Transactions of the Institutions of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Queen's University","funders":"","keywords":"Block (permutation group theory); Sorting; Open-pit mining; Discretization; Block model; Mining engineering; Geology; Computer science; Algorithm; Mathematics; Geometry","score_opus":0.04226951182097654,"score_gpt":0.2970203860024876,"score_spread":0.25475087418151104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408557526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78652805,0.00019900096,0.20966284,0.000074287294,0.00002634428,0.000101383586,0.0013318585,0.0010254682,0.0010508272],"genre_scores_gemma":[0.9314322,0.00006418614,0.066157795,0.000014114598,0.0000055622772,0.00007016537,0.001363875,0.000033319157,0.00085870246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998406,0.000020827963,0.000014277614,0.000048873302,0.000055647273,0.000019633275],"domain_scores_gemma":[0.999126,0.00043845474,0.00012773214,0.000078039855,0.0001879879,0.00004181684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038033986,0.000366846,0.00041380516,0.0007243835,0.0001907717,0.00045740072,0.0005214971,0.00044784512,0.00081962196],"category_scores_gemma":[0.0015615032,0.000204418,0.00039430225,0.00071032706,0.0002592445,0.00040648784,0.00032452744,0.00050079107,0.0002703933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007003732,0.00020887348,0.057429824,0.00009944002,0.00006772398,0.00023929564,0.00012691456,0.8024213,0.04023676,0.0004919768,0.00065970776,0.097317934],"study_design_scores_gemma":[0.000004896616,0.000038216418,0.0068223453,0.0000022181662,0.0000037092284,0.000019430483,0.000016940345,0.98945564,0.0032821964,0.00015662858,0.00019079821,0.000006865673],"about_ca_topic_score_codex":0.01339261,"about_ca_topic_score_gemma":0.015023734,"teacher_disagreement_score":0.01339261,"about_ca_system_score_codex":0.00050049927,"about_ca_system_score_gemma":0.0005030797,"threshold_uncertainty_score":0.02662927},"labels":[],"label_agreement":null},{"id":"W4408828203","doi":"10.70477/qgtk8595","title":"INVESTIGATION OF GLYCOCALYX DYNAMICS IN CIRCULAR CHANNELS UNDER VARYING SHEAR STRESSES","year":2024,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Glycocalyx; Dynamics (music); Shear (geology); Shear stress; Mechanics; Materials science; Physics; Composite material; Acoustics; Chemistry","score_opus":0.02158396994716907,"score_gpt":0.2314268451980641,"score_spread":0.20984287525089504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408828203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952584,0.0008979506,0.0023777299,0.00010550367,0.000039765873,0.000016959571,0.00026679944,0.000038010996,0.0009989182],"genre_scores_gemma":[0.99607867,0.0006366897,0.0019168219,0.000063248575,0.000015693866,0.000024370409,0.00017982651,0.000012666544,0.0010719438],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990857,0.000009056117,0.0000028243533,0.000022677625,0.000021873679,0.000034951205],"domain_scores_gemma":[0.9998142,0.00004131421,0.000067074296,0.000011073198,0.000030486031,0.000035831956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022702756,0.00014435784,0.00011709452,0.0001857932,0.00027623426,0.00031266082,0.0001533163,0.00026688926,0.0015384489],"category_scores_gemma":[0.00029137701,0.00008971201,0.00012732027,0.00021783584,0.00034763734,0.0005708291,0.00015499671,0.0005299526,0.00016099744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002543862,0.000063406325,0.0013262333,0.000058403395,0.000009218973,0.00008886061,0.00011522119,0.00032029307,0.9942887,0.00072209374,0.00021670086,0.002536449],"study_design_scores_gemma":[0.00004139368,0.00051463686,0.041382276,0.000037186248,0.000033375778,0.0003098111,0.0006264184,0.020691805,0.9292624,0.00097086735,0.00606835,0.00006136551],"about_ca_topic_score_codex":0.0006933295,"about_ca_topic_score_gemma":0.00059155864,"teacher_disagreement_score":0.0015384489,"about_ca_system_score_codex":0.00026877227,"about_ca_system_score_gemma":0.00014930457,"threshold_uncertainty_score":0.0051466227},"labels":[],"label_agreement":null},{"id":"W4409033573","doi":"10.3997/2214-4609.202531054","title":"Investigation of Methodology to Degrade Miscibility in Compositional Simulation","year":2025,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Miscibility; Computer science; Materials science; Polymer","score_opus":0.09234395776016074,"score_gpt":0.34024756671309664,"score_spread":0.2479036089529359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409033573","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13361265,0.0008164955,0.8516267,0.00042560176,0.00019801626,0.00030437773,0.00032960862,0.0034028403,0.009283767],"genre_scores_gemma":[0.60360557,0.000604131,0.3920544,0.00013571698,0.000035806497,0.00028930735,0.00037885114,0.00073727866,0.0021588954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994036,0.00014711182,0.000044148866,0.00008380061,0.00026059203,0.000060733993],"domain_scores_gemma":[0.99853253,0.0005196661,0.00012788645,0.00029559815,0.00045069598,0.000073670846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015160353,0.0005963652,0.0003649907,0.00062209676,0.00042040707,0.0008503667,0.0010947337,0.00044867684,0.0029513289],"category_scores_gemma":[0.004029302,0.00027278013,0.0005014008,0.00033384893,0.00035930407,0.0009191323,0.000995562,0.00088090333,0.000609483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004609361,0.00040357685,0.010976614,0.0015908728,0.00021214408,0.00048483888,0.0006727592,0.458322,0.24113786,0.029288813,0.0026382504,0.2538113],"study_design_scores_gemma":[0.000041042716,0.00022541184,0.0010209532,0.00008497147,0.000045961937,0.00010488304,0.00010837401,0.880784,0.10138879,0.0039704693,0.012186788,0.000038302343],"about_ca_topic_score_codex":0.002559265,"about_ca_topic_score_gemma":0.0024767464,"teacher_disagreement_score":0.0029513289,"about_ca_system_score_codex":0.0003761361,"about_ca_system_score_gemma":0.0010650241,"threshold_uncertainty_score":0.009873152},"labels":[],"label_agreement":null},{"id":"W4409038300","doi":"10.5937/ioc24121j","title":"Modified Bond and Rittinger energy-size models for the laboratory IsaMill","year":2024,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Bond; Energy (signal processing); Business; Finance; Statistics; Mathematics","score_opus":0.014207774334327726,"score_gpt":0.21672485423111112,"score_spread":0.2025170798967834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409038300","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0849366,0.0009783519,0.88682985,0.00038757225,0.0001636146,0.0002549238,0.0009967228,0.00073600846,0.024716292],"genre_scores_gemma":[0.7766476,0.0013221409,0.16454329,0.0002856648,0.00008972809,0.001128003,0.0023645672,0.0008712447,0.052747753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992576,0.00014519239,0.00003222308,0.000119255594,0.00040045692,0.00004510402],"domain_scores_gemma":[0.9985329,0.0006892688,0.00018578116,0.0002508399,0.00030843238,0.000032745138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001110259,0.0009511694,0.00052575243,0.0008673295,0.0002452439,0.00066164887,0.0027566575,0.0014586952,0.0044299676],"category_scores_gemma":[0.0037053388,0.00044230363,0.0010382675,0.00070802786,0.00049864093,0.0019181344,0.00060587877,0.0012048704,0.002150849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019260655,0.0003012797,0.0029709858,0.00016740858,0.000047502686,0.00024797607,0.000110611065,0.84273446,0.030836858,0.072835386,0.0056399573,0.043915067],"study_design_scores_gemma":[0.000010308694,0.000065410386,0.0007949966,0.000008741026,0.000010249719,0.0000954729,0.000013643912,0.9829336,0.0044144457,0.0073351376,0.004292036,0.00002594313],"about_ca_topic_score_codex":0.0024294842,"about_ca_topic_score_gemma":0.0030166137,"teacher_disagreement_score":0.0044299676,"about_ca_system_score_codex":0.0007643706,"about_ca_system_score_gemma":0.0005688637,"threshold_uncertainty_score":0.014819741},"labels":[],"label_agreement":null},{"id":"W4409074134","doi":"10.3749/9780921294825.ch01","title":"CHAPTER 1: USE OF THE MINERAL LIBERATION ANALYZER (MLA) FOR MINERALOGICAL STUDIES OF SEDIMENTS AND SEDIMENTARY ROCKS","year":2012,"lang":"en","type":"book-chapter","venue":"Mineralogical Association of Canada eBooks","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Geochemistry; Sedimentary rock; Geology; Mineral; Mineralogy; Metallurgy; Materials science","score_opus":0.03823717926276294,"score_gpt":0.21922082808219973,"score_spread":0.1809836488194368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409074134","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009449569,0.03417245,0.27341035,0.0015686607,0.0016273214,0.002254336,0.020262286,0.014510854,0.6427441],"genre_scores_gemma":[0.009201334,0.020661011,0.1250339,0.0006269384,0.0002498288,0.00068903604,0.008268708,0.0024601105,0.8328092],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999451,0.00001726467,0.000021021757,0.00010832384,0.00037664492,0.000025805517],"domain_scores_gemma":[0.99976355,0.00004958854,0.000013656162,0.00002175466,0.00013573046,0.000015712074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038121248,0.00135732,0.00078770943,0.0028949745,0.0011876255,0.0015838577,0.0014429945,0.0010789349,0.07654752],"category_scores_gemma":[0.000481095,0.0010807933,0.00053671794,0.0026886682,0.0003711651,0.0013881901,0.0009063071,0.0010287513,0.058891058],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064066095,0.00019296349,0.0011286563,0.0016793973,0.000015999685,0.00020344245,0.00036439917,0.0011549579,0.09135471,0.008134697,0.21264221,0.6830646],"study_design_scores_gemma":[0.0000061882506,0.000037209793,0.0033550528,0.00024128704,0.000014209452,0.00045922096,0.0000550083,0.0006620897,0.044775087,0.002825087,0.94753873,0.000030801115],"about_ca_topic_score_codex":0.008136964,"about_ca_topic_score_gemma":0.031384278,"teacher_disagreement_score":0.07654752,"about_ca_system_score_codex":0.0010348887,"about_ca_system_score_gemma":0.001707079,"threshold_uncertainty_score":0.25607693},"labels":[],"label_agreement":null},{"id":"W4409300144","doi":"10.3390/geosciences15040140","title":"Understanding Secondary Fragmentation Characteristics in Cave Mining: A Simulation-Based Analysis of Impact and Compression-Induced Breakage","year":2025,"lang":"en","type":"article","venue":"Geosciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Newmont Corporation","keywords":"Breakage; Fragmentation (computing); Cave; Compression (physics); Mining engineering; Computer science; Environmental science; Geography; Geology; Materials science; Archaeology; World Wide Web; Composite material","score_opus":0.04857182444763899,"score_gpt":0.3111575200648305,"score_spread":0.26258569561719153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409300144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98628485,0.000072166935,0.009196464,0.00010107711,0.000008498572,0.000036654754,0.0003286578,0.00009143346,0.0038801914],"genre_scores_gemma":[0.9970036,0.000050755265,0.0024055606,0.00001127279,0.0000020888574,0.000018524534,0.00012232047,0.000012484293,0.00037336943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992645,0.000013468104,0.0000044765357,0.000010938887,0.000018786981,0.00002583533],"domain_scores_gemma":[0.99951446,0.00026928834,0.000063242645,0.0000396194,0.000058348985,0.00005500305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029203473,0.00032577792,0.00042888845,0.00052389177,0.00038647876,0.00043339017,0.0005642779,0.00085172587,0.0011619914],"category_scores_gemma":[0.0010907687,0.00022390278,0.00048932206,0.00048520413,0.0005134622,0.00037816443,0.00037713282,0.00045279492,0.000089456924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037441394,0.000038510476,0.007516713,0.000018722565,0.000014192419,0.00009086948,0.0000324266,0.9890693,0.0014084318,0.00043083853,0.00008126492,0.0012614069],"study_design_scores_gemma":[0.000009087232,0.000025761537,0.0039250385,0.000003839005,0.000004343778,0.000029997778,0.000030639123,0.99519134,0.00040159424,0.00025321287,0.00011916377,0.000006064883],"about_ca_topic_score_codex":0.029773623,"about_ca_topic_score_gemma":0.02547378,"teacher_disagreement_score":0.029773623,"about_ca_system_score_codex":0.0007394035,"about_ca_system_score_gemma":0.00091677567,"threshold_uncertainty_score":0.059200644},"labels":[],"label_agreement":null},{"id":"W4409603223","doi":"10.61091/jcmcc127b-072","title":"Prediction and Anomaly Detection of Coal Mill Outlet Pressure Using a PSO-3DResNet Model","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Anomaly (physics); Anomaly detection; Coal; Mill; Environmental science; Geology; Mining engineering; Artificial intelligence; Computer science; Engineering; Physics; Waste management; Mechanical engineering","score_opus":0.014037651782078529,"score_gpt":0.2342551103570472,"score_spread":0.2202174585749687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603223","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16744266,0.0005112959,0.8257434,0.00041106867,0.0001658381,0.000051657917,0.00020110974,0.0009979652,0.004475053],"genre_scores_gemma":[0.9645238,0.00016412669,0.03200839,0.00007738791,0.00003328952,0.000054250624,0.00023044788,0.000028851528,0.002879419],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980086,0.00003920125,0.000013800532,0.000067528585,0.000048498438,0.00003006206],"domain_scores_gemma":[0.999716,0.000111209745,0.000032873944,0.000017609551,0.00010452561,0.000017726097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005126611,0.00061912014,0.00061418477,0.00040200955,0.00022767615,0.0005361997,0.00090442953,0.0006799741,0.001151149],"category_scores_gemma":[0.0009895274,0.0003491096,0.00054651784,0.0002718398,0.0003107604,0.0006825306,0.0004045609,0.0006440808,0.00019855569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046024932,0.00002919313,0.0014495528,0.000018154036,0.00002675981,0.000032368996,0.0000121801195,0.97813535,0.0009912081,0.0008631469,0.0003249911,0.018071089],"study_design_scores_gemma":[0.0000012851475,0.000005037534,0.000072548406,4.924058e-7,0.0000013485492,0.0000016949879,5.7564597e-7,0.9997161,0.0000844999,0.00008847571,0.000027135071,7.769388e-7],"about_ca_topic_score_codex":0.01503486,"about_ca_topic_score_gemma":0.009085951,"teacher_disagreement_score":0.01503486,"about_ca_system_score_codex":0.00046374113,"about_ca_system_score_gemma":0.00062695314,"threshold_uncertainty_score":0.02989471},"labels":[],"label_agreement":null},{"id":"W4409627386","doi":"10.17268/rev.cyt.2025.01.06","title":"Machine Learning aplicado a la exploración minera usando matriz de confusión","year":2025,"lang":"en","type":"article","venue":"Revista Ciencia y Tecnología","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science","score_opus":0.007017739681289861,"score_gpt":0.23479025517504581,"score_spread":0.22777251549375596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409627386","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059078436,0.0005550559,0.9327878,0.00020859436,0.000086024425,0.00017267042,0.00035310985,0.0042886445,0.0024696442],"genre_scores_gemma":[0.3667919,0.00037175842,0.6284188,0.0000638481,0.000058569363,0.00042831525,0.00054983504,0.00032149866,0.0029954587],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99743336,0.001068405,0.00026290093,0.0004815369,0.0006240846,0.00012964716],"domain_scores_gemma":[0.9906483,0.0064943857,0.000613585,0.0005962113,0.001539354,0.00010809121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071020685,0.0018245643,0.0012237728,0.0035782922,0.000809906,0.0032757309,0.0013084412,0.0008786337,0.0027080972],"category_scores_gemma":[0.02503526,0.0005436919,0.0009423771,0.0021675373,0.00086603384,0.0023461126,0.0016167891,0.0016260898,0.0015219077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063123595,0.00025111058,0.020332523,0.0005577222,0.0003303605,0.00031048735,0.0012690949,0.14641117,0.009799336,0.015952237,0.0035429753,0.80061173],"study_design_scores_gemma":[0.00002834437,0.00016024691,0.005588123,0.000102739126,0.00006211992,0.00032822226,0.00030358232,0.9585122,0.0119259115,0.017102519,0.005827383,0.000058594447],"about_ca_topic_score_codex":0.0042521837,"about_ca_topic_score_gemma":0.0057304124,"teacher_disagreement_score":0.0071020685,"about_ca_system_score_codex":0.0007933854,"about_ca_system_score_gemma":0.0014288193,"threshold_uncertainty_score":0.037559807},"labels":[],"label_agreement":null},{"id":"W4409627654","doi":"10.1016/j.compchemeng.2025.109143","title":"Predicting handsheet properties and enhancing refiner control using fiber analyzer data and latent variable modeling","year":2025,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Svenska Forskningsrådet Formas; Energimyndigheten; VINNOVA","keywords":"Latent variable; Spectrum analyzer; Computer science; Process engineering; Materials science; Engineering; Artificial intelligence","score_opus":0.02056336428727162,"score_gpt":0.20347626045658945,"score_spread":0.18291289616931783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409627654","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25005054,0.0002397952,0.7473997,0.00017204515,0.000017165075,0.00006580259,0.00044263087,0.00075838104,0.0008538775],"genre_scores_gemma":[0.9278539,0.00013280805,0.0698489,0.000049066442,0.000016017286,0.00009187613,0.00087134447,0.00006913534,0.0010668914],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897003,0.00037271096,0.00005489115,0.00036522993,0.00015906293,0.000078072175],"domain_scores_gemma":[0.99720275,0.0018249508,0.00040779266,0.00030702032,0.0002081292,0.00004937612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003714375,0.0012566563,0.0009511413,0.0007524105,0.00028889,0.0012503826,0.00095965544,0.0007655388,0.0010336619],"category_scores_gemma":[0.0060646203,0.0004684839,0.0010699374,0.00063932664,0.00067480025,0.0013902421,0.0008099716,0.0013387084,0.0003500501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003032027,0.00024039374,0.026074182,0.000098521065,0.000116378265,0.000075365155,0.00011365396,0.89555734,0.008667957,0.0034685517,0.00043377987,0.0648506],"study_design_scores_gemma":[0.0000060995235,0.000039841998,0.0024327068,0.0000057992297,0.000009948016,0.0000069936445,0.000010338954,0.99468464,0.0015141149,0.001059429,0.0002175153,0.000012559386],"about_ca_topic_score_codex":0.010096952,"about_ca_topic_score_gemma":0.010047762,"teacher_disagreement_score":0.010096952,"about_ca_system_score_codex":0.00060921523,"about_ca_system_score_gemma":0.000960449,"threshold_uncertainty_score":0.020076394},"labels":[],"label_agreement":null},{"id":"W4409800894","doi":"10.1016/j.powtec.2025.121063","title":"A classification AI model to predict choking of vibrating screen based on DEM and machine learning","year":2025,"lang":"en","type":"article","venue":"Powder Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Research Council; Rio Tinto; Western Sydney University","keywords":"Choking; Artificial intelligence; Machine learning; Computer science; Engineering; Medicine","score_opus":0.015064309818134699,"score_gpt":0.24503510622217742,"score_spread":0.22997079640404272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409800894","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14813448,0.0004711638,0.83775365,0.00056348264,0.000114963485,0.00015327391,0.0004177103,0.001239293,0.0111519685],"genre_scores_gemma":[0.9654667,0.00020575963,0.029362023,0.00008474442,0.000020371544,0.00014311216,0.00023537625,0.000031924174,0.0044499724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998093,0.000024336545,0.00001643665,0.000060418668,0.000056882935,0.00003264488],"domain_scores_gemma":[0.9994647,0.0002668199,0.00007271024,0.000020660553,0.00015725689,0.000017883474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004580679,0.0005968613,0.0005882941,0.0007314107,0.0003886355,0.0007352764,0.0009215495,0.0009580854,0.0018380212],"category_scores_gemma":[0.0010283275,0.00029125978,0.0007090495,0.00049237825,0.00037550804,0.0007777157,0.0003086101,0.00087748875,0.00026026386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042174703,0.000054034375,0.0023781804,0.0000494376,0.00001717131,0.00005760949,0.00002946246,0.97584665,0.0026275748,0.0020351552,0.00042961698,0.016433045],"study_design_scores_gemma":[9.1546934e-7,0.0000046409064,0.00013714896,0.0000010806942,0.0000020655343,0.0000030405981,0.0000012144526,0.9993562,0.0002260915,0.00021193444,0.000053934764,0.0000017414987],"about_ca_topic_score_codex":0.017548466,"about_ca_topic_score_gemma":0.009558645,"teacher_disagreement_score":0.017548466,"about_ca_system_score_codex":0.001001835,"about_ca_system_score_gemma":0.0007610705,"threshold_uncertainty_score":0.03489268},"labels":[],"label_agreement":null},{"id":"W4410038833","doi":"10.3390/min15050478","title":"Optimizing Infill Drill Hole Decisions While Capturing the Spatial Continuity of Geochemical and Geometallurgical Properties: Application to Gol Gohar Iron Ore Mine, Iran","year":2025,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Infill; Drill hole; Drill; Mining engineering; Geology; Iron ore; Environmental science; Earth science; Geochemistry; Archaeology; Engineering; Metallurgy; Materials science; Civil engineering; Geography","score_opus":0.016620762918748415,"score_gpt":0.23128839021617245,"score_spread":0.21466762729742403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410038833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80630624,0.0014005407,0.18860072,0.00051868364,0.000049457492,0.00016670747,0.0005514741,0.0010098849,0.0013962345],"genre_scores_gemma":[0.86474013,0.0003294999,0.13325149,0.000083898,0.000026137912,0.000093789145,0.0007272766,0.000058994778,0.00068883307],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996747,0.00009594944,0.000024647,0.0001003545,0.00004538109,0.00005900662],"domain_scores_gemma":[0.9989467,0.00074238447,0.000103251194,0.00004282266,0.00012149488,0.00004333062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012555418,0.0012504684,0.0013409646,0.0011236982,0.00037158554,0.00072474737,0.0012065213,0.0014284049,0.0005192363],"category_scores_gemma":[0.0026967083,0.0005724967,0.00097144104,0.001008935,0.0005089685,0.00072534056,0.0005634024,0.00057768,0.000119023694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012666252,0.0001248136,0.007548542,0.00009333498,0.00006621617,0.0001570734,0.000058576283,0.95465034,0.0013711643,0.0002507724,0.00044278378,0.035109583],"study_design_scores_gemma":[0.00001832542,0.00004611005,0.0014258458,0.0000043594646,0.00001392081,0.000025414485,0.00005640407,0.9976295,0.00038503675,0.00024622993,0.00014306347,0.000005711552],"about_ca_topic_score_codex":0.037979614,"about_ca_topic_score_gemma":0.03562528,"teacher_disagreement_score":0.037979614,"about_ca_system_score_codex":0.00072279887,"about_ca_system_score_gemma":0.0023339954,"threshold_uncertainty_score":0.07551706},"labels":[],"label_agreement":null},{"id":"W4410106654","doi":"10.1007/s00501-025-01604-6","title":"Contributions to Data Collection and Data Processing for Energy- and Product-optimised Operation in Mobile Crushing","year":2025,"lang":"en","type":"article","venue":"BHM Berg- und Hüttenmännische Monatshefte","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hudbay Minerals (Canada)","funders":"","keywords":"Product (mathematics); Data collection; Computer science; Data processing; Database; Statistics; Mathematics","score_opus":0.026980283606501076,"score_gpt":0.32578899436468584,"score_spread":0.29880871075818477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410106654","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14294541,0.0015860775,0.8289805,0.0023442951,0.0008647174,0.0013215062,0.0031574443,0.005255814,0.013544211],"genre_scores_gemma":[0.448286,0.0014610975,0.5315698,0.0004619703,0.00057046424,0.00061216706,0.0036688647,0.0012384651,0.012131182],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99563956,0.0007967208,0.00025730618,0.0007357603,0.0023295865,0.00024100873],"domain_scores_gemma":[0.9915168,0.0015573173,0.00038681968,0.0014618527,0.0045915022,0.00048567294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00599004,0.0011044571,0.0010543454,0.0013678136,0.0007163757,0.0021261445,0.0012761524,0.00073522946,0.0051486013],"category_scores_gemma":[0.00887201,0.00039363958,0.00069457083,0.0014681191,0.0006326977,0.0012810974,0.0017646024,0.0011242583,0.0030754386],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012381709,0.00049653463,0.015615531,0.00097179593,0.00014522635,0.0003426208,0.0016581487,0.019612322,0.17752309,0.004292734,0.010677493,0.7674263],"study_design_scores_gemma":[0.00029263576,0.0017817374,0.047834113,0.00043762673,0.00033018194,0.0011813669,0.0021280537,0.15802082,0.49791655,0.008489759,0.28117377,0.0004134578],"about_ca_topic_score_codex":0.0039698277,"about_ca_topic_score_gemma":0.0030323092,"teacher_disagreement_score":0.00599004,"about_ca_system_score_codex":0.0008029064,"about_ca_system_score_gemma":0.0033176707,"threshold_uncertainty_score":0.031678736},"labels":[],"label_agreement":null},{"id":"W4410246656","doi":"10.1016/j.powtec.2025.121099","title":"Formulation of hetero-aggregates in opposed jet fluidized beds","year":2025,"lang":"en","type":"article","venue":"Powder Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Jet (fluid); Fluidized bed; Fluidization; Environmental science; Materials science; Petroleum engineering; Mechanics; Chemical engineering; Chemistry; Process engineering; Waste management; Engineering; Physics","score_opus":0.0066115710664410125,"score_gpt":0.2344824211520911,"score_spread":0.22787085008565008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410246656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9606588,0.0006245479,0.036656227,0.00005322765,0.000062407955,0.000084294596,0.00020592596,0.0002915921,0.0013630444],"genre_scores_gemma":[0.9738575,0.0003731379,0.02423484,0.000029689867,0.000019105708,0.00006948278,0.00018718747,0.000031480824,0.001197548],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979526,0.000021933029,0.00001665394,0.000062304294,0.00008108611,0.0000227592],"domain_scores_gemma":[0.99992085,0.000021347074,0.000028289829,0.0000073075253,0.000013170277,0.000009179783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002579373,0.00029026766,0.00031657147,0.0002464151,0.00015356722,0.00035950556,0.0003400307,0.00034819273,0.0005454703],"category_scores_gemma":[0.00020785475,0.0001774938,0.0002463728,0.0001460889,0.00020551596,0.00031030062,0.0002580288,0.0004181311,0.00030830633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054029326,0.00003137732,0.00019201737,0.000046814886,0.000006737959,0.00004732365,0.00001536302,0.0007201445,0.99602497,0.00021123684,0.000035273148,0.002614587],"study_design_scores_gemma":[0.000016812479,0.00022249724,0.0010217605,0.0000037428197,0.000011948273,0.0000671616,0.0000125530205,0.009913619,0.987369,0.000049275375,0.0013040324,0.000007578564],"about_ca_topic_score_codex":0.0004950412,"about_ca_topic_score_gemma":0.0012073254,"teacher_disagreement_score":0.0005454703,"about_ca_system_score_codex":0.00029948697,"about_ca_system_score_gemma":0.0001665049,"threshold_uncertainty_score":0.0021728873},"labels":[],"label_agreement":null},{"id":"W4410362772","doi":"10.3390/app15105493","title":"A Cement Bond Quality Prediction Method Based on a Wide and Deep Neural Network Incorporating Embedded Domain Knowledge","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Artificial neural network; Quality (philosophy); Domain (mathematical analysis); Bond; Computer science; Artificial intelligence; Business; Mathematics","score_opus":0.021293026692194298,"score_gpt":0.30264736111355256,"score_spread":0.28135433442135827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410362772","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11571232,0.0011813627,0.87566465,0.00051086926,0.00017024971,0.00010566972,0.00069100136,0.0030746483,0.0028891969],"genre_scores_gemma":[0.86614174,0.0006834443,0.123491146,0.00038643248,0.00008986953,0.00020084978,0.0021143123,0.00010863507,0.0067835664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982256,0.000016558404,0.000010255007,0.00007918792,0.00004298214,0.000028415965],"domain_scores_gemma":[0.99978787,0.000053465297,0.000029823803,0.000018740899,0.000094905656,0.000015294154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039103304,0.001280953,0.0006731687,0.0006300347,0.0002400061,0.00057765824,0.0013237838,0.0009532488,0.0010913996],"category_scores_gemma":[0.00077817234,0.00049935293,0.0008009246,0.00055314176,0.00029672278,0.0010531774,0.0006865564,0.0014403776,0.00042705503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001359083,0.00024485152,0.0047887308,0.00008230623,0.00014119186,0.00014906746,0.000040973624,0.74166423,0.011607666,0.0010393912,0.0041401354,0.23596565],"study_design_scores_gemma":[0.0000032089174,0.00001527708,0.00023351607,0.0000027692952,0.00000871186,0.0000074168443,0.0000026242076,0.9984956,0.00081822404,0.00025870858,0.00015044629,0.0000035256373],"about_ca_topic_score_codex":0.011865375,"about_ca_topic_score_gemma":0.014711277,"teacher_disagreement_score":0.011865375,"about_ca_system_score_codex":0.00061781926,"about_ca_system_score_gemma":0.00090844906,"threshold_uncertainty_score":0.02359265},"labels":[],"label_agreement":null},{"id":"W4411012326","doi":"10.1016/j.mineng.2025.109486","title":"Application of the hierarchical Bayesian models to analyze semi-autogenous mill throughput","year":2025,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Throughput; Mill; Bayesian probability; Computer science; Bayesian inference; Process engineering; Engineering; Mechanical engineering; Artificial intelligence","score_opus":0.008023875795964782,"score_gpt":0.21632277713332893,"score_spread":0.20829890133736415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411012326","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027180001,0.00020802526,0.97042817,0.00020871042,0.000015104103,0.000064049804,0.00030844638,0.0002601916,0.0013274042],"genre_scores_gemma":[0.74616975,0.00064985687,0.24753939,0.00015680329,0.00009101184,0.0003411081,0.0015528731,0.00014343743,0.0033558474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984403,0.00067951577,0.00007475104,0.00030020537,0.0003887136,0.00011647238],"domain_scores_gemma":[0.993107,0.0050690076,0.0007468093,0.00036976088,0.00060153625,0.00010592821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004491942,0.00094449794,0.0009630899,0.0017893687,0.00047848764,0.0014875521,0.0016588964,0.00092369836,0.0020042048],"category_scores_gemma":[0.012308917,0.0008779759,0.0015054302,0.0016917025,0.0006778122,0.001685541,0.0011931503,0.0015806351,0.00038331372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049841834,0.00005665838,0.0059170616,0.00007181024,0.00015773994,0.00006029275,0.00012114773,0.9247743,0.0007756845,0.025750602,0.00069166435,0.041573185],"study_design_scores_gemma":[0.0000033797871,0.000009618225,0.0008621417,0.000007050776,0.000010371078,0.0000059498866,0.000009208512,0.98842746,0.000110082634,0.010266018,0.0002793724,0.000009368756],"about_ca_topic_score_codex":0.025688753,"about_ca_topic_score_gemma":0.026246544,"teacher_disagreement_score":0.025688753,"about_ca_system_score_codex":0.0014685323,"about_ca_system_score_gemma":0.0019787843,"threshold_uncertainty_score":0.0510785},"labels":[],"label_agreement":null},{"id":"W4411027662","doi":"10.3390/min15060603","title":"Prediction of Circulation Load of Side-Flanged High-Pressure Grinding Rolls Closed-Circuit Crushing","year":2025,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Key Research and Development Program of Liaoning Province; National Natural Science Foundation of China","keywords":"Grinding; Circulation (fluid dynamics); Materials science; High pressure; Metallurgy; Geology; Mechanical engineering; Mechanics; Structural engineering; Marine engineering; Engineering; Physics","score_opus":0.020577962249876975,"score_gpt":0.2248562296734151,"score_spread":0.2042782674235381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411027662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9321737,0.00020787992,0.06498826,0.000039308732,0.000018339873,0.000044137993,0.00016020726,0.0010668497,0.0013013906],"genre_scores_gemma":[0.99310803,0.000059071335,0.0059665623,0.0000063914454,0.0000022230126,0.000018882403,0.000103370134,0.000044565066,0.0006908484],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997733,0.000018606208,0.000010378655,0.00007390237,0.00010053702,0.000023231047],"domain_scores_gemma":[0.9996513,0.00015245737,0.0000565283,0.000037819646,0.000087620145,0.000014331384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036138584,0.0007860508,0.00049242825,0.00044551093,0.00018658747,0.0005130055,0.0007709034,0.0006892997,0.00092571287],"category_scores_gemma":[0.0009895231,0.00037030276,0.00042903196,0.00024724915,0.0002480245,0.00064782845,0.00029355695,0.00038571926,0.00032140868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011650416,0.00029809136,0.021931544,0.00049620506,0.000061041916,0.0005207221,0.00030151,0.39464632,0.4801276,0.0004445977,0.00095242256,0.099054866],"study_design_scores_gemma":[0.000015699432,0.00017670843,0.010753963,0.000005864715,0.000017102007,0.00003857457,0.00003084627,0.9025919,0.08597864,0.00007487773,0.00029535464,0.000020381567],"about_ca_topic_score_codex":0.00715137,"about_ca_topic_score_gemma":0.0073525854,"teacher_disagreement_score":0.00715137,"about_ca_system_score_codex":0.00053210044,"about_ca_system_score_gemma":0.00039726534,"threshold_uncertainty_score":0.014219463},"labels":[],"label_agreement":null},{"id":"W4411068910","doi":"10.1021/acs.jcim.5c00197","title":"Machine Learning Based Quantitative Structure–Dissolution Profile Relationship","year":2025,"lang":"en","type":"article","venue":"Journal of Chemical Information and Modeling","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PCL Construction (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Dissolution; Computer science; Chemistry; Artificial intelligence; Physical chemistry","score_opus":0.022128021938772814,"score_gpt":0.2675076540056386,"score_spread":0.24537963206686578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411068910","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14339669,0.0014378141,0.84767646,0.00054648396,0.000058631096,0.00012677681,0.0006776937,0.0011853734,0.0048941327],"genre_scores_gemma":[0.9127515,0.0009904926,0.08258412,0.00015869782,0.000033121152,0.00009564073,0.0008125273,0.000051968873,0.002521999],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995524,0.0000783859,0.000034365443,0.00011849798,0.00018801451,0.000028326533],"domain_scores_gemma":[0.99919385,0.00040442712,0.00015420596,0.000068167035,0.00016592172,0.000013383068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094705675,0.0006392536,0.0004947235,0.00070526847,0.00014186934,0.0006587439,0.00065328926,0.00082137337,0.0011319914],"category_scores_gemma":[0.003311669,0.00030042525,0.00063129875,0.0004296131,0.0003054479,0.0014833998,0.00038264284,0.0008581676,0.00045563068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012299982,0.00013794401,0.0060757273,0.00025135095,0.000101300364,0.00012676211,0.00004444917,0.8378322,0.020844012,0.0076105706,0.001029311,0.12582353],"study_design_scores_gemma":[0.0000028609875,0.000020504718,0.00054222957,0.000003231145,0.0000058986993,0.000020920046,0.0000016062022,0.99521506,0.0028998791,0.00094998174,0.00033140942,0.0000063794023],"about_ca_topic_score_codex":0.0028696025,"about_ca_topic_score_gemma":0.0018163802,"teacher_disagreement_score":0.0028696025,"about_ca_system_score_codex":0.00083622895,"about_ca_system_score_gemma":0.0006195797,"threshold_uncertainty_score":0.006067276},"labels":[],"label_agreement":null},{"id":"W4411277999","doi":"10.3390/en18123119","title":"Comminution Flowsheet Energy Requirements of a New Narrow-Vein Mining Method","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Comminution; Energy requirement; Vein; Energy (signal processing); Mining engineering; Computer science; Environmental science; Geology; Materials science; Process engineering; Metallurgy; Engineering; Mathematics; Medicine; Statistics; Surgery","score_opus":0.01731249258227467,"score_gpt":0.2785076843910738,"score_spread":0.26119519180879913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411277999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8482199,0.002653937,0.1055234,0.0006188454,0.00022738015,0.00030266307,0.0008239606,0.0007248233,0.040905174],"genre_scores_gemma":[0.9362276,0.0009531854,0.048569858,0.000068465684,0.00003643996,0.00010469722,0.0005912663,0.00010083104,0.013347572],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99937785,0.000030389261,0.00003042052,0.0001015868,0.00040388695,0.000055841127],"domain_scores_gemma":[0.9996238,0.000113685484,0.000058158577,0.000053991822,0.00012290667,0.000027544313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039895973,0.00025335292,0.00032690231,0.00071843946,0.00046868913,0.0008942612,0.0007376693,0.0005743691,0.0059051965],"category_scores_gemma":[0.0007902563,0.00016153518,0.0002715986,0.00059757795,0.00020624306,0.000982901,0.0004668071,0.00043098355,0.0015063365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009565387,0.0004210043,0.0052200416,0.0009503357,0.000025091002,0.0007375493,0.00018425717,0.01721898,0.76211506,0.009276689,0.0028908474,0.2000036],"study_design_scores_gemma":[0.00009022899,0.0024380086,0.011708626,0.00009004022,0.000061498264,0.0011525435,0.0002461597,0.12155206,0.7841012,0.0032336598,0.075247504,0.00007845812],"about_ca_topic_score_codex":0.0011027372,"about_ca_topic_score_gemma":0.0029164737,"teacher_disagreement_score":0.0059051965,"about_ca_system_score_codex":0.0005734734,"about_ca_system_score_gemma":0.0004814163,"threshold_uncertainty_score":0.019754887},"labels":[],"label_agreement":null},{"id":"W4411315176","doi":"10.1016/j.mlwa.2025.100689","title":"Artificial neural networks and support vector machines for more accurate cost estimation in underground mining: A contractor's viewpoint","year":2025,"lang":"en","type":"article","venue":"Machine Learning with Applications","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Mitacs","keywords":"Artificial neural network; Support vector machine; Estimation; Artificial intelligence; Computer science; Machine learning; Engineering; Data mining; Systems engineering","score_opus":0.012631237389121192,"score_gpt":0.27784704951178063,"score_spread":0.26521581212265943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411315176","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19590874,0.0075246124,0.7781093,0.0054160007,0.00037867387,0.00010658306,0.00058408716,0.0007899704,0.01118204],"genre_scores_gemma":[0.8447843,0.002986734,0.14830816,0.00027363413,0.00016800042,0.00007062347,0.00056344917,0.000050294253,0.0027948197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853075,0.0005727747,0.00011627183,0.00016595445,0.00055403414,0.00006017498],"domain_scores_gemma":[0.9963426,0.0018075426,0.00043167145,0.00030804303,0.0010415701,0.00006864094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003128335,0.00087101455,0.00074253185,0.0011939564,0.00023728231,0.0016554169,0.0007882227,0.0010749216,0.0013879072],"category_scores_gemma":[0.008017294,0.00027850427,0.0004353097,0.0017565774,0.00036649537,0.0025376328,0.00047526273,0.0013273932,0.00034195767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019420648,0.00026048726,0.015438381,0.00031415356,0.00014773915,0.00018923555,0.000100208425,0.5096914,0.004592249,0.015266513,0.0058993152,0.44790608],"study_design_scores_gemma":[0.0000066988005,0.00007518571,0.0031456128,0.00006241626,0.000015723901,0.000033698165,0.000055820492,0.9852947,0.0017174142,0.0062411507,0.0033314591,0.000020199768],"about_ca_topic_score_codex":0.0052332464,"about_ca_topic_score_gemma":0.0056888354,"teacher_disagreement_score":0.0052332464,"about_ca_system_score_codex":0.0006942804,"about_ca_system_score_gemma":0.0008448303,"threshold_uncertainty_score":0.016544402},"labels":[],"label_agreement":null},{"id":"W4411339528","doi":"10.3390/rs17122062","title":"Sensor-Based Rock Hardness Characterization in a Gold Mine Using Hyperspectral Imaging and Portable X-Ray Fluorescence Technologies","year":2025,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hyperspectral imaging; Characterization (materials science); Materials science; Fluorescence; X-ray fluorescence; Remote sensing; Nanotechnology; Geology; Optics","score_opus":0.009329604365416954,"score_gpt":0.22169957948217636,"score_spread":0.2123699751167594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411339528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839012,0.000104267514,0.014451282,0.000030556726,0.0000035471967,0.00003819678,0.00014535042,0.00008769686,0.0012378432],"genre_scores_gemma":[0.9755014,0.000107404034,0.023334358,0.000022804199,0.000002371301,0.000015570715,0.00014570412,0.000012488022,0.00085789565],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99960107,0.000024384997,0.0000113409005,0.00010846777,0.00021313249,0.00004160381],"domain_scores_gemma":[0.9998447,0.000034204822,0.000035024143,0.000015641257,0.000060688293,0.000009735209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031908252,0.00039952053,0.00033785636,0.0008174863,0.00037499255,0.00055062736,0.00047237484,0.00038089082,0.00044377314],"category_scores_gemma":[0.0005094366,0.0002102877,0.0003059049,0.00069564796,0.00046399227,0.0005454898,0.00048509706,0.00029523481,0.00014907739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051315414,0.00026141398,0.17086138,0.00024673846,0.00011530733,0.00036852522,0.00060891797,0.022448748,0.6610881,0.0006370278,0.00046277847,0.14238797],"study_design_scores_gemma":[0.00004205703,0.00045474037,0.4735202,0.000033924836,0.00013173182,0.0004273135,0.0010275951,0.24545464,0.2758793,0.0007216791,0.0022343958,0.000072472925],"about_ca_topic_score_codex":0.031892326,"about_ca_topic_score_gemma":0.099842176,"teacher_disagreement_score":0.031892326,"about_ca_system_score_codex":0.000635444,"about_ca_system_score_gemma":0.000622173,"threshold_uncertainty_score":0.06341338},"labels":[],"label_agreement":null},{"id":"W4411551122","doi":"10.1109/jstars.2025.3582520","title":"SulfideNet: Deep Learning for Detection and Quantification of Iron Sulfides in Drill Core Scans","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geoscience BC","funders":"","keywords":"Drill; Core (optical fiber); Computer science; Geology; Metallurgy; Materials science","score_opus":0.021556071500107982,"score_gpt":0.240965080112758,"score_spread":0.21940900861265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411551122","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4710457,0.0031762547,0.45025134,0.0009203014,0.0004628789,0.0003803392,0.01865773,0.045347694,0.009757838],"genre_scores_gemma":[0.7319938,0.0008500734,0.21838942,0.00062264927,0.00009473804,0.0003274682,0.035543602,0.0005724501,0.011605776],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975985,0.000031046962,0.000012457021,0.000101680795,0.00005903281,0.00003588],"domain_scores_gemma":[0.9997769,0.00006642359,0.000027746542,0.00003008787,0.00007916211,0.000019704803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061752077,0.0012681759,0.00041909562,0.0009933431,0.00028026817,0.0005230984,0.0012852987,0.00079150393,0.002014227],"category_scores_gemma":[0.0012671973,0.00038339503,0.0004674526,0.00062417245,0.00032188857,0.00078096596,0.00095685484,0.0006120749,0.001102501],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091270584,0.00048373322,0.02589068,0.0006016286,0.00034773353,0.00048822208,0.00027457846,0.20152666,0.049316175,0.0030775252,0.071804784,0.64527553],"study_design_scores_gemma":[0.000044276105,0.00012354464,0.0037478884,0.00004195513,0.000031790794,0.00009544204,0.000075628566,0.9691196,0.017729774,0.0022451608,0.0067246235,0.00002038783],"about_ca_topic_score_codex":0.01311787,"about_ca_topic_score_gemma":0.023917237,"teacher_disagreement_score":0.01311787,"about_ca_system_score_codex":0.00072474085,"about_ca_system_score_gemma":0.0011294327,"threshold_uncertainty_score":0.026083052},"labels":[],"label_agreement":null},{"id":"W4411592963","doi":"10.1016/j.mineng.2025.109488","title":"Multiscale modeling of rock fracture in comminution — A comparative study of FEM accuracy and DEM scalability","year":2025,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Particle Physics","funders":"Stiftelsen Åforsk","keywords":"Comminution; Fracture (geology); Finite element method; Discrete element method; Scalability; Materials science; Geology; Computer science; Geotechnical engineering; Engineering; Structural engineering; Metallurgy; Mechanics; Physics","score_opus":0.020032054922250513,"score_gpt":0.27120521477144016,"score_spread":0.25117315984918964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411592963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6450866,0.0013507428,0.33765775,0.0006129674,0.00010648404,0.00012218601,0.0006924524,0.0022253224,0.0121454885],"genre_scores_gemma":[0.94904417,0.0003486598,0.049533397,0.000030758452,0.00001309444,0.00003945285,0.00020176322,0.000112681766,0.00067607156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969375,0.00005885471,0.00002279112,0.000056370758,0.00013256916,0.000035793146],"domain_scores_gemma":[0.998409,0.00081483595,0.00012579432,0.0003187169,0.00027703706,0.000054655196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001087966,0.00046442437,0.0004199302,0.00062223524,0.0002503013,0.0006558748,0.0008316645,0.00079855794,0.001688883],"category_scores_gemma":[0.0030222551,0.00022360242,0.00046819996,0.0004201384,0.00042160525,0.0006766156,0.0006275576,0.00056336814,0.00025337416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014480962,0.00012965135,0.009407543,0.00017152082,0.000041336283,0.00013808016,0.00020613536,0.9177436,0.021580357,0.003886454,0.0006345106,0.045916025],"study_design_scores_gemma":[0.0000042455677,0.000022442993,0.0014429823,0.000013283231,0.0000063608554,0.000030633048,0.000030420471,0.99436414,0.0031286962,0.00036104486,0.00058658357,0.000009065809],"about_ca_topic_score_codex":0.0075229034,"about_ca_topic_score_gemma":0.005509023,"teacher_disagreement_score":0.0075229034,"about_ca_system_score_codex":0.00050919194,"about_ca_system_score_gemma":0.0005385161,"threshold_uncertainty_score":0.014958262},"labels":[],"label_agreement":null},{"id":"W4411642655","doi":"10.1016/j.clay.2025.107915","title":"Bentonite mass loss in fractured crystalline rock quantified from CT scans using digital rock physics and machine learning: case study from the Grimsel Test Site (Switzerland)","year":2025,"lang":"en","type":"article","venue":"Applied Clay Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fractal Systems (Canada)","funders":"Bundesministerium für Umwelt, Naturschutz, nukleare Sicherheit und Verbraucherschutz; Nationale Genossenschaft für die Lagerung radioaktiver Abfälle","keywords":"Bentonite; Geology; Test site; Rock mass classification; Mineralogy; Geotechnical engineering; Mining engineering","score_opus":0.016532795432238134,"score_gpt":0.24674209010549228,"score_spread":0.23020929467325416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411642655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99924314,0.000034392804,0.00042037235,0.000008123876,5.673757e-7,0.000009419476,0.00009663351,0.000010682373,0.00017665722],"genre_scores_gemma":[0.998204,0.00004941019,0.0013410234,0.0000036379652,0.0000015287183,0.0000050804965,0.0001228321,0.000007582106,0.00026489235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997658,0.000022180948,0.000012474452,0.000053710748,0.000115085044,0.000030713687],"domain_scores_gemma":[0.9995881,0.00014183398,0.00009774163,0.000033405195,0.00010699883,0.00003201066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003771434,0.00048175783,0.00035066434,0.0012689305,0.00039569626,0.0006119836,0.0005849035,0.0008889625,0.00036869946],"category_scores_gemma":[0.00056140596,0.00023124128,0.00030880878,0.0009370374,0.00063967955,0.00029903447,0.00025586612,0.00020073584,0.0001225274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001304102,0.0008866912,0.5112569,0.00043050802,0.00016764486,0.021880383,0.0019146221,0.07578454,0.32840732,0.00027465087,0.0005161698,0.05717658],"study_design_scores_gemma":[0.000049994607,0.0010079738,0.73699564,0.000050834184,0.00016124288,0.0051835966,0.0012918272,0.11569423,0.13781232,0.00017999356,0.0014837988,0.00008858895],"about_ca_topic_score_codex":0.015662119,"about_ca_topic_score_gemma":0.04108234,"teacher_disagreement_score":0.015662119,"about_ca_system_score_codex":0.0007117874,"about_ca_system_score_gemma":0.00023950843,"threshold_uncertainty_score":0.031141937},"labels":[],"label_agreement":null},{"id":"W4412176937","doi":"10.1007/s11837-025-07529-2","title":"Comprehensive Review of Simulation Methods in Grinding Processes: Models, Mechanisms, Applications, and Future Directions","year":2025,"lang":"en","type":"article","venue":"JOM","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Iron Ore Company (Canada)","funders":"","keywords":"Grinding; Biochemical engineering; Computer science; Process engineering; Materials science; Engineering; Mechanical engineering","score_opus":0.024808571763557236,"score_gpt":0.3438221187599539,"score_spread":0.31901354699639667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412176937","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015321244,0.92093325,0.07062389,0.0012396652,0.00084744464,0.000044036708,0.00022689514,0.0002867493,0.004265926],"genre_scores_gemma":[0.010039805,0.9485399,0.037927862,0.0002907352,0.0008506933,0.00006538065,0.00035458573,0.00010268511,0.0018283643],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917006,0.00021991435,0.00009205504,0.00011557283,0.00036444011,0.000037953083],"domain_scores_gemma":[0.9979437,0.0012333505,0.00012314826,0.00010393887,0.00053761667,0.00005822624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020542175,0.0013044333,0.0024083594,0.0021112694,0.000423889,0.0016548133,0.0022290875,0.0014277059,0.0040381583],"category_scores_gemma":[0.0032424924,0.00069746084,0.0014910536,0.0033267492,0.0005726778,0.0017612568,0.0009823139,0.0014847027,0.0019343653],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011406003,0.00018946611,0.0010459181,0.021810312,0.0003699134,0.00009369132,0.00011249393,0.061740674,0.00562275,0.04645563,0.031046877,0.8313982],"study_design_scores_gemma":[0.00005580375,0.00027763043,0.001736806,0.0061865775,0.00048926607,0.00039407058,0.00011863907,0.11818261,0.0066051963,0.051811375,0.8139448,0.00019723938],"about_ca_topic_score_codex":0.0031755236,"about_ca_topic_score_gemma":0.003386864,"teacher_disagreement_score":0.0040381583,"about_ca_system_score_codex":0.00097195845,"about_ca_system_score_gemma":0.0024454624,"threshold_uncertainty_score":0.0135089755},"labels":[],"label_agreement":null},{"id":"W4412592330","doi":"10.1016/b978-0-443-40294-4.00018-9","title":"Ore Body Knowledge—Case Studies From Complex Copper–Gold and Refractory Ores","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Iron Ore Company (Canada); Hudbay Minerals (Canada)","funders":"","keywords":"Refractory (planetary science); Copper; Gold ore; Metallurgy; Geology; Materials science","score_opus":0.034017741190974594,"score_gpt":0.28011497545474534,"score_spread":0.24609723426377075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412592330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9449638,0.0003446594,0.0061832964,0.0007029754,0.000012422846,0.00011299665,0.00022756004,0.000038794245,0.047413528],"genre_scores_gemma":[0.97266394,0.00044652374,0.0062012873,0.000080830214,0.000006938171,0.000039591043,0.00041330777,0.0000278684,0.0201196],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99933237,0.0002633108,0.00004729532,0.00008849245,0.00017273896,0.00009580724],"domain_scores_gemma":[0.99719834,0.0022483966,0.00011712308,0.00018074723,0.00016210346,0.000093216906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097127346,0.0002537138,0.00028681717,0.00074655813,0.0020373447,0.0020617994,0.0011209762,0.0020377152,0.00842692],"category_scores_gemma":[0.0042779488,0.00018757266,0.0003003737,0.0013085665,0.002124592,0.0019927097,0.0018792195,0.000730994,0.00077953807],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011402438,0.0035473823,0.075311214,0.001450026,0.00010282699,0.09275377,0.22357462,0.022088202,0.006827215,0.042047754,0.021961128,0.5091957],"study_design_scores_gemma":[0.00018900716,0.0008950911,0.106741466,0.0011590737,0.00014921172,0.048510183,0.45601067,0.056774713,0.01518637,0.0431897,0.27103513,0.0001594367],"about_ca_topic_score_codex":0.021044346,"about_ca_topic_score_gemma":0.033658903,"teacher_disagreement_score":0.021044346,"about_ca_system_score_codex":0.0014291723,"about_ca_system_score_gemma":0.0013577389,"threshold_uncertainty_score":0.041843712},"labels":[],"label_agreement":null},{"id":"W4412904871","doi":"10.1088/1755-1315/1523/1/012042","title":"Monitoring blasting-induced vibrations in a Québec clay deposit","year":2025,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Ministère des Transports","funders":"","keywords":"Rock blasting; Breccia; Vibration; Geology; Geotechnical engineering; Geochemistry; Physics; Acoustics","score_opus":0.011664214514432662,"score_gpt":0.20743129991603942,"score_spread":0.19576708540160676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412904871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963624,0.000061569306,0.0006613042,0.000018242981,0.0000034884974,0.00003931775,0.00081266405,0.000035924462,0.0020051147],"genre_scores_gemma":[0.9965405,0.000047482943,0.0010088619,0.000010753555,0.000001328014,0.000014502169,0.00044790417,0.00000510404,0.0019235883],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99981076,0.000008953953,0.000004811739,0.000034683657,0.00010276067,0.000038157705],"domain_scores_gemma":[0.99970824,0.000037190606,0.000028054608,0.00001410498,0.0001692166,0.000043223685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017802669,0.00027519854,0.00018348446,0.0010027947,0.00077671884,0.000432781,0.0004520747,0.00035666552,0.0018702274],"category_scores_gemma":[0.00032793457,0.000109995024,0.00009478511,0.0008671284,0.0002909176,0.00013092252,0.00024997408,0.00021087784,0.0002696372],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008462198,0.00027956843,0.42511255,0.00026920636,0.00009409689,0.0026977847,0.0026616368,0.009228051,0.47885692,0.00025991318,0.0019030713,0.07779093],"study_design_scores_gemma":[0.000015328556,0.00013822474,0.9803642,0.000016034925,0.000013904439,0.00013238846,0.0006263717,0.006498627,0.0104266945,0.000017861297,0.0017340085,0.000016322658],"about_ca_topic_score_codex":0.7537502,"about_ca_topic_score_gemma":0.90468585,"teacher_disagreement_score":0.2462498,"about_ca_system_score_codex":0.0022793978,"about_ca_system_score_gemma":0.0012650237,"threshold_uncertainty_score":0.4954},"labels":[],"label_agreement":null},{"id":"W4412974731","doi":"10.3390/environments12080270","title":"Computer Vision for Low-Level Nuclear Waste Sorting: A Review","year":2025,"lang":"en","type":"review","venue":"Environments","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Energy; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sorting; Low vision; Artificial intelligence; Radioactive waste; Computer science; Computer vision; Environmental science; Waste management; Engineering; Medicine; Optometry; Algorithm","score_opus":0.030890286997957463,"score_gpt":0.2911627968527189,"score_spread":0.2602725098547614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412974731","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019316992,0.9962864,0.0010960209,0.00028853334,0.00023079231,0.000007603696,0.000025553336,0.000022588494,0.0018492454],"genre_scores_gemma":[0.0017748537,0.9960336,0.0010582006,0.00015113025,0.00021940244,0.000009161432,0.000061560786,0.000006624255,0.00068541203],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996202,0.00006431825,0.000045720917,0.0000909661,0.0001487916,0.00002989571],"domain_scores_gemma":[0.9985398,0.00086207903,0.000098338685,0.00003738736,0.00041312267,0.0000492106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085040036,0.0010451986,0.0011215322,0.0031046798,0.00030092575,0.0014177151,0.0012225622,0.0015486748,0.0051023955],"category_scores_gemma":[0.0023261197,0.00044439646,0.00093400455,0.0038093063,0.0005862779,0.002049955,0.0006014758,0.0012969453,0.0029763693],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034249675,0.0000629021,0.00024036705,0.013772975,0.00011637344,0.00007597933,0.000060600676,0.0007154305,0.00066188024,0.0040542567,0.02810348,0.9521016],"study_design_scores_gemma":[0.000012364756,0.00017410041,0.0019845553,0.009403338,0.00032834065,0.0010055054,0.00013127683,0.0012002977,0.00092562975,0.004926625,0.9798466,0.000061409155],"about_ca_topic_score_codex":0.0031108682,"about_ca_topic_score_gemma":0.002647263,"teacher_disagreement_score":0.0051023955,"about_ca_system_score_codex":0.0007175092,"about_ca_system_score_gemma":0.0016139853,"threshold_uncertainty_score":0.01706922},"labels":[],"label_agreement":null},{"id":"W4412975438","doi":"10.56952/arma-2025-0117","title":"Determination of in-situ stress field using back-analysis approach: a case study of Jwaneng Mine","year":2025,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University; Centre for Excellence in Mining Innovation","funders":"","keywords":"In situ; Stress (linguistics); Field (mathematics); Stress field; Geology; Computer science; Engineering; Structural engineering; Finite element method; Mathematics; Geography; Meteorology","score_opus":0.030178661067970198,"score_gpt":0.28531093663591406,"score_spread":0.2551322755679439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412975438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941362,0.000023324596,0.004645789,0.00004906802,0.0000053530453,0.000027114995,0.000112506284,0.000028883836,0.0009717661],"genre_scores_gemma":[0.9942688,0.000027584258,0.0051950086,0.000005068277,0.0000018038163,0.000013229558,0.00006385349,0.0000056012127,0.0004190822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.999821,0.00004550805,0.00001537511,0.000038571383,0.00005143349,0.000028019507],"domain_scores_gemma":[0.99962056,0.00015945791,0.00004154087,0.000046690377,0.00010042163,0.00003128599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039180453,0.00039177295,0.00041345286,0.00070193096,0.0005608556,0.00052542053,0.00067335926,0.0009405347,0.00083905447],"category_scores_gemma":[0.0006110968,0.00024085725,0.00048263004,0.0006443028,0.00043431763,0.0003833877,0.00037172495,0.00038860994,0.0001198558],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000440869,0.0012714161,0.18222433,0.00042365486,0.00015157445,0.012173109,0.002410233,0.69003063,0.05091723,0.0018973297,0.001251019,0.05680854],"study_design_scores_gemma":[0.00003827779,0.00035806873,0.060056306,0.000031700223,0.000047663023,0.00048698505,0.0019119468,0.92333686,0.012112264,0.00061792374,0.0009494626,0.00005252902],"about_ca_topic_score_codex":0.016945658,"about_ca_topic_score_gemma":0.034730475,"teacher_disagreement_score":0.016945658,"about_ca_system_score_codex":0.0006154038,"about_ca_system_score_gemma":0.0004848953,"threshold_uncertainty_score":0.03369403},"labels":[],"label_agreement":null},{"id":"W4412989404","doi":"10.56952/arma-2025-0882","title":"Cave-scale Mine Modeling Challenges and a New 3D-FDEM Modeling Concept","year":2025,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology; CLEARink (Canada)","funders":"","keywords":"Scale (ratio); Cave; Computer science; Scale model; Geology; Aerospace engineering; Engineering; Geography; Archaeology; Cartography","score_opus":0.0396130557277269,"score_gpt":0.24461351523184927,"score_spread":0.20500045950412238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412989404","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022020966,0.00027437712,0.97011906,0.00079191854,0.00010297181,0.00005554351,0.0001833386,0.0007086784,0.0057431892],"genre_scores_gemma":[0.4227062,0.00072073005,0.57078403,0.00037818446,0.00006330795,0.00025993213,0.00032200504,0.0002478417,0.004517829],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998274,0.000048140242,0.000010615912,0.000031568794,0.00006591045,0.000016388676],"domain_scores_gemma":[0.9993042,0.00033713374,0.000044740467,0.00014446779,0.00012580857,0.000043621192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079450966,0.00042106461,0.00042875658,0.00032291643,0.00048558053,0.0014240905,0.0014354098,0.0014523338,0.0018356433],"category_scores_gemma":[0.0015589672,0.00045789956,0.0007883752,0.00035672775,0.0012023052,0.0013664406,0.0011480751,0.0015378249,0.00035121033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068469904,0.00006965083,0.002219411,0.00023665039,0.00003659621,0.00047272473,0.00044732692,0.86629236,0.020237539,0.07141444,0.0033042065,0.035200596],"study_design_scores_gemma":[0.000012624628,0.000021255122,0.0002746621,0.00003299491,0.0000053961066,0.0001853872,0.000050055904,0.9796342,0.0022698112,0.007265353,0.010226882,0.000021328951],"about_ca_topic_score_codex":0.004787007,"about_ca_topic_score_gemma":0.004248456,"teacher_disagreement_score":0.004787007,"about_ca_system_score_codex":0.00058960007,"about_ca_system_score_gemma":0.0010618385,"threshold_uncertainty_score":0.009518266},"labels":[],"label_agreement":null},{"id":"W4413008047","doi":"10.1007/s42461-025-01309-x","title":"Drill and Blast Decision Support to Optimize Hole Position, Explosives, and Drill Bit Clusters","year":2025,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Rio Tinto","keywords":"Explosive material; Drill; Drill bit; Position (finance); Drill hole; Computer science; Geology; Bit (key); Engineering; Computer security; Mechanical engineering; Business; History; Archaeology","score_opus":0.012862428690436528,"score_gpt":0.2361297922522875,"score_spread":0.22326736356185098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413008047","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3395525,0.00026641824,0.6530078,0.00026507236,0.000051388386,0.00020480664,0.00015597281,0.0010805307,0.0054154517],"genre_scores_gemma":[0.912916,0.000041149593,0.08594264,0.00003262044,0.000007761345,0.00006849968,0.00006429894,0.000029869807,0.0008971422],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996234,0.00008694589,0.000021211516,0.00007130549,0.00010500457,0.00009211227],"domain_scores_gemma":[0.99910295,0.0004426352,0.00014453432,0.00004494479,0.0001725123,0.00009244209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007069959,0.000823912,0.0007438772,0.00059962244,0.00034085216,0.00076035934,0.0010326948,0.00070415094,0.0020116656],"category_scores_gemma":[0.0021620628,0.00048289855,0.00029184323,0.00045555944,0.00035109752,0.00072421884,0.000730068,0.00053134526,0.0002663849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012668288,0.00008633183,0.0011727979,0.000035371493,0.000015190867,0.000045287583,0.000035160152,0.96567744,0.0034639186,0.0007318741,0.00044864605,0.028161326],"study_design_scores_gemma":[0.000018705396,0.000052667358,0.00017214009,0.0000022960407,0.000005708845,0.0000073134456,0.000014535787,0.9983955,0.00088739564,0.00030228993,0.00013878952,0.000002621441],"about_ca_topic_score_codex":0.0057705566,"about_ca_topic_score_gemma":0.008820905,"teacher_disagreement_score":0.0057705566,"about_ca_system_score_codex":0.00060906925,"about_ca_system_score_gemma":0.0014594891,"threshold_uncertainty_score":0.011473954},"labels":[],"label_agreement":null},{"id":"W4413056729","doi":"10.1007/s42729-025-02620-8","title":"Correction to: Predicting Potential Soil Nitrogen Mineralization Using Pyrolysis-coupled FTIR","year":2025,"lang":"en","type":"article","venue":"Journal of soil science and plant nutrition","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"","keywords":"Fourier transform infrared spectroscopy; Mineralization (soil science); Nitrogen; Pyrolysis; Environmental chemistry; Chemistry; Environmental science; Soil science; Chemical engineering; Engineering; Organic chemistry","score_opus":0.008374265918915099,"score_gpt":0.22638138219073825,"score_spread":0.21800711627182315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413056729","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00035890713,0.0008013296,0.0014995121,0.015671972,0.97833794,0.00003032073,0.0012927582,0.000837391,0.00116985],"genre_scores_gemma":[0.04009796,0.0074658035,0.018038116,0.059685245,0.51213825,0.00045446743,0.009204362,0.004610129,0.34830567],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.995968,0.00044402535,0.0006451216,0.00061010127,0.0019399134,0.0003928701],"domain_scores_gemma":[0.9644595,0.0035627563,0.0014431723,0.00219496,0.026348626,0.0019910557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027629265,0.00288563,0.0027798053,0.004877042,0.0021077422,0.0030274133,0.0042170095,0.005547431,0.11139735],"category_scores_gemma":[0.033249915,0.0014620835,0.001999316,0.0030313435,0.0014319835,0.0023616774,0.002939004,0.00664127,0.058536407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006451587,0.000015025308,0.00011923037,0.0002460879,0.00002156745,0.00013274066,0.000019209418,0.00012881872,0.0003642532,0.00028705253,0.9896734,0.008928035],"study_design_scores_gemma":[0.00008619694,0.000046915266,0.0023692376,0.00021943085,0.000057283894,0.0006175573,0.00010453798,0.00148395,0.0019844156,0.0016607284,0.99128294,0.00008681087],"about_ca_topic_score_codex":0.009540582,"about_ca_topic_score_gemma":0.015475934,"teacher_disagreement_score":0.11139735,"about_ca_system_score_codex":0.0031883144,"about_ca_system_score_gemma":0.0042714616,"threshold_uncertainty_score":0.3726613},"labels":[],"label_agreement":null},{"id":"W4413321299","doi":"10.1109/antem64578.2025.11114110","title":"Remote Sensing for Mining Detection: Comparative Analysis of Deep Learning Models","year":2025,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Computer science; Deep learning; Artificial intelligence; Remote sensing; Geology","score_opus":0.03687047051528207,"score_gpt":0.280333674317379,"score_spread":0.2434632038020969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413321299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47220534,0.033885837,0.44075066,0.0037876852,0.0010232354,0.00050056865,0.005749218,0.018497888,0.023599504],"genre_scores_gemma":[0.7739278,0.005246177,0.20315751,0.0008903309,0.00017017456,0.00017203149,0.010428916,0.0006915212,0.0053155473],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984024,0.000344943,0.00013248673,0.0004516791,0.000493119,0.0001753775],"domain_scores_gemma":[0.9974808,0.0014124218,0.00015669214,0.00028922188,0.00055531535,0.00010552107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037523732,0.0020541619,0.0010141438,0.0028488827,0.00044343545,0.0017040102,0.0018037398,0.0015542841,0.0014957445],"category_scores_gemma":[0.0071070604,0.00040852456,0.0012138359,0.0015774056,0.0004147022,0.0025747996,0.0012438121,0.0014673335,0.0010278191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089431053,0.00047311597,0.024278894,0.00088072725,0.0008911142,0.00011375626,0.00012506913,0.30486676,0.005772341,0.003728082,0.016577156,0.64139855],"study_design_scores_gemma":[0.000034864574,0.00023089582,0.0046741003,0.00011845384,0.00013565176,0.00007294501,0.00010800485,0.98267937,0.0052492563,0.0022595155,0.00440409,0.00003285817],"about_ca_topic_score_codex":0.024095211,"about_ca_topic_score_gemma":0.025985746,"teacher_disagreement_score":0.024095211,"about_ca_system_score_codex":0.001777371,"about_ca_system_score_gemma":0.0015558538,"threshold_uncertainty_score":0.047909915},"labels":[],"label_agreement":null},{"id":"W4413382839","doi":"10.1139/cgj-2024-0656","title":"Ex situ hyperspectral sensing and machine learning for tailings characterization","year":2025,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Conetec Investigations","funders":"","keywords":"Tailings; Hyperspectral imaging; Geology; Geotechnical engineering; Mining engineering; Remote sensing; Materials science","score_opus":0.009143324061721372,"score_gpt":0.20792154007644306,"score_spread":0.19877821601472168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413382839","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43405354,0.001462759,0.5535257,0.0005183125,0.00007868948,0.00007874901,0.001232702,0.0018345236,0.007215054],"genre_scores_gemma":[0.8504679,0.0006756859,0.14536197,0.00013713416,0.000035711822,0.00004938384,0.0008497094,0.00006580246,0.0023567309],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976474,0.000038777598,0.000009358226,0.00006688676,0.00009801926,0.000022230393],"domain_scores_gemma":[0.9997172,0.000096662385,0.00005450337,0.000042814143,0.00007741535,0.0000114293425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047563532,0.00070346677,0.00023978858,0.0006287681,0.00020118691,0.00047353577,0.00037678154,0.0005016608,0.0007528544],"category_scores_gemma":[0.00068513997,0.00024400237,0.00029750797,0.00069099147,0.00034539856,0.0009361954,0.0003880966,0.0005718125,0.00028906218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030402,0.00043490462,0.037076194,0.00032678328,0.00018763814,0.00020168125,0.00020275502,0.22489947,0.34137526,0.002942705,0.00291649,0.38913196],"study_design_scores_gemma":[0.0000076230367,0.000069867274,0.019783366,0.00002039268,0.000027204984,0.000071679955,0.00010315921,0.89418066,0.081010476,0.0022782432,0.002416607,0.000030762734],"about_ca_topic_score_codex":0.005739382,"about_ca_topic_score_gemma":0.014604623,"teacher_disagreement_score":0.005739382,"about_ca_system_score_codex":0.0004138906,"about_ca_system_score_gemma":0.00036044826,"threshold_uncertainty_score":0.011411965},"labels":[],"label_agreement":null},{"id":"W4413391365","doi":"10.1115/omae2025-157779","title":"Application of Ditch Magnet System to Extend Downhole Tool Life and Accuracy – Revealing the Quantity of Metal Contamination in Drilling Fluid","year":2025,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Semtech (Canada)","funders":"","keywords":"Contamination; Ditch; Petroleum engineering; Drilling; Drilling fluid; Environmental science; Geology; Mining engineering; Engineering; Mechanical engineering","score_opus":0.008097055702077778,"score_gpt":0.2449792375382492,"score_spread":0.23688218183617143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413391365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99192095,0.00034852835,0.006379421,0.00004755794,0.000024617972,0.000029614228,0.00012487048,0.0001863443,0.00093818415],"genre_scores_gemma":[0.99012625,0.00015453379,0.008165562,0.00002745053,0.0000037432058,0.000011313392,0.00008705518,0.000011988212,0.0014120974],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998375,0.000017013735,0.000008060553,0.000029673723,0.00008132326,0.000026402704],"domain_scores_gemma":[0.99965596,0.000078352015,0.00008459198,0.000041928375,0.000116184034,0.00002301224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017549038,0.00015970727,0.00013760528,0.00043859254,0.00020067021,0.00021900686,0.00021459209,0.00034021912,0.0010412615],"category_scores_gemma":[0.0003155852,0.00010580402,0.00008057398,0.00028818083,0.00021700641,0.00017075079,0.0002196384,0.00018457766,0.00014614617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013156871,0.000019488882,0.0025050377,0.00006429574,0.0000028109991,0.00006105043,0.000047020618,0.00038536557,0.98699003,0.00006077751,0.000096845004,0.009635618],"study_design_scores_gemma":[0.00000809683,0.000806855,0.023859514,0.0000075919265,0.000009262688,0.00015881236,0.000108142296,0.002435368,0.97030735,0.000041156294,0.002245697,0.000012088071],"about_ca_topic_score_codex":0.001121568,"about_ca_topic_score_gemma":0.0030680671,"teacher_disagreement_score":0.001121568,"about_ca_system_score_codex":0.00022900659,"about_ca_system_score_gemma":0.00016714708,"threshold_uncertainty_score":0.003483355},"labels":[],"label_agreement":null},{"id":"W4414125365","doi":"10.1016/j.resourpol.2025.105732","title":"Metal mining decarbonisation scenarios – Ontario's path towards net zero GHG emissions","year":2025,"lang":"en","type":"article","venue":"Resources Policy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada; Office of Energy Research and Development; World Resources Institute","keywords":"Greenhouse gas; Electricity; Emission intensity; Diesel fuel; Range (aeronautics); Zero emission; Climate change; Energy mix; Electricity generation","score_opus":0.012166275367517125,"score_gpt":0.2520647248641923,"score_spread":0.23989844949667516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414125365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5126349,0.0012150096,0.0025532139,0.059966438,0.00030228568,0.00024424505,0.013905509,0.00021600974,0.40896234],"genre_scores_gemma":[0.93948984,0.0009499261,0.0030078997,0.002420455,0.000038480906,0.000066494365,0.0016445174,0.000045385277,0.05233696],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986284,0.00015517512,0.000029519251,0.00007706548,0.0006036857,0.00050614704],"domain_scores_gemma":[0.99894875,0.0000972024,0.000056891942,0.000042986863,0.00059738616,0.0002567535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001165947,0.0004641332,0.00028654575,0.0005507077,0.002524686,0.0032562746,0.0010610962,0.0024637943,0.0057209088],"category_scores_gemma":[0.0017905222,0.0003486709,0.00072430476,0.0010451976,0.0013050839,0.0012411086,0.0010205106,0.0011130992,0.0004624572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035604401,0.0004972223,0.05542711,0.001237227,0.00043493547,0.0023707345,0.002973414,0.2284677,0.019459715,0.3615106,0.2597128,0.0643481],"study_design_scores_gemma":[0.0010669151,0.00057483837,0.18782167,0.00046203946,0.00037055186,0.00036523168,0.010522606,0.09231055,0.0076687303,0.099787354,0.59873444,0.00031507827],"about_ca_topic_score_codex":0.97663474,"about_ca_topic_score_gemma":0.99390984,"teacher_disagreement_score":0.07138752,"about_ca_system_score_codex":0.07138752,"about_ca_system_score_gemma":0.07481868,"threshold_uncertainty_score":0.5179552},"labels":[],"label_agreement":null},{"id":"W4414484235","doi":"10.1002/cjce.70100","title":"Advanced fluidized bed reactor performance: Optimizing residence time distribution through helical screw induced rotation ( <scp>HSIR</scp> )","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Residence time distribution; Rotation (mathematics); Dispersion (optics); Flow (mathematics); Residual; Residence time (fluid dynamics); Rotational speed; Mixing (physics); Response surface methodology","score_opus":0.009111668599930088,"score_gpt":0.21004521783826835,"score_spread":0.20093354923833825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414484235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7748613,0.0007648363,0.21881683,0.0001691276,0.000053917163,0.00010415993,0.00018434823,0.0007261629,0.0043193335],"genre_scores_gemma":[0.96610993,0.00014878578,0.032958005,0.000019164627,0.000004989241,0.000033046494,0.000062608684,0.00003025024,0.00063319335],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999826,0.000035694113,0.000009991619,0.000036195066,0.00007102563,0.0000210479],"domain_scores_gemma":[0.99985874,0.000046099653,0.000039956198,0.0000120414425,0.000031948985,0.000011233025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058590836,0.00045761568,0.0003103364,0.00023222451,0.00018120423,0.0004468117,0.00024596934,0.00023147643,0.0008726016],"category_scores_gemma":[0.00041986757,0.00015642874,0.00024111345,0.00022929258,0.00024033767,0.00027747167,0.00023306962,0.0002797412,0.00022476113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048178795,0.00020671448,0.0012687318,0.00027524118,0.0000254049,0.000070216796,0.000038974264,0.13759482,0.8160516,0.0019633174,0.0006577083,0.041365515],"study_design_scores_gemma":[0.00003695114,0.0008104357,0.0009771321,0.000008764412,0.000016846801,0.00002696181,0.000015712323,0.36721888,0.6288414,0.00020194649,0.0018211063,0.000023867759],"about_ca_topic_score_codex":0.0010243303,"about_ca_topic_score_gemma":0.001310863,"teacher_disagreement_score":0.0010243303,"about_ca_system_score_codex":0.00041830732,"about_ca_system_score_gemma":0.00047211762,"threshold_uncertainty_score":0.0030986667},"labels":[],"label_agreement":null},{"id":"W4415038014","doi":"10.1016/j.cemconcomp.2025.106363","title":"A transformer-based machine learning model for optimizing the design of cementitious mixtures with mine tailings as supplementary cementitious materials","year":2025,"lang":"en","type":"article","venue":"Cement and Concrete Composites","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cementitious; Reuse; Tailings; Portland cement; Sorting; Compressive strength; Boosting (machine learning); Gradient boosting","score_opus":0.011259691058908247,"score_gpt":0.2189534553461743,"score_spread":0.20769376428726605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415038014","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06789479,0.00032223633,0.920921,0.000296985,0.00005169362,0.00010579031,0.00031821924,0.0008495624,0.009239558],"genre_scores_gemma":[0.8803123,0.00019118295,0.11149546,0.00011956714,0.000018153589,0.00034233325,0.00034510408,0.00006954564,0.0071063605],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985003,0.000043883374,0.000008251011,0.000037966165,0.00003872402,0.00002117012],"domain_scores_gemma":[0.99964786,0.0002179761,0.000033483684,0.000010316922,0.00007869885,0.000011682925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006725227,0.000795943,0.0005882686,0.0005143684,0.00027074284,0.0006912625,0.00093435036,0.001120205,0.0032498797],"category_scores_gemma":[0.0013010411,0.0004608496,0.00069523905,0.00040755715,0.0004014217,0.0005902655,0.00047692802,0.0009212291,0.00048051085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014282717,0.000011020684,0.00017376266,0.000016889608,0.000005827876,0.000010403262,0.0000062691524,0.99400467,0.00045523752,0.0005703438,0.000115772404,0.0046155727],"study_design_scores_gemma":[0.0000013010789,0.0000042773213,0.000020021962,0.0000011252524,0.0000014028054,0.000001069975,0.0000010698485,0.9996511,0.0000995409,0.00014964322,0.00006864429,8.1304984e-7],"about_ca_topic_score_codex":0.010667331,"about_ca_topic_score_gemma":0.011076417,"teacher_disagreement_score":0.010667331,"about_ca_system_score_codex":0.00090442697,"about_ca_system_score_gemma":0.001173507,"threshold_uncertainty_score":0.021210492},"labels":[],"label_agreement":null},{"id":"W4415119301","doi":"10.3390/min15101065","title":"Optimization of High-Pressure Grinding Roll (HPGR) Performance in an Industrial-Scale HPGR/Tower Mill Comminution Circuit","year":2025,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Key Research and Development Program of Liaoning Province; National Natural Science Foundation of China","keywords":"Comminution; Grinding; Mill; Crusher; Electronic circuit; Process (computing); Energy consumption","score_opus":0.021518715991623017,"score_gpt":0.230017002236903,"score_spread":0.20849828624527997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415119301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98894066,0.00028389538,0.008858733,0.00004224645,0.000016897251,0.00007002881,0.00020448005,0.00042082206,0.0011622633],"genre_scores_gemma":[0.9862059,0.00016012372,0.012546565,0.000017859946,0.0000053132007,0.000026577309,0.00020405464,0.00006092547,0.0007727312],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99960977,0.0000416002,0.000027685293,0.00009231592,0.00016950697,0.000059285765],"domain_scores_gemma":[0.9996816,0.0000909887,0.00008284157,0.00003622602,0.000078429235,0.000029921963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004515058,0.00046774137,0.0003091785,0.00038477397,0.0002176193,0.0005588263,0.00062403595,0.0005238598,0.0011037213],"category_scores_gemma":[0.00075387314,0.00015198447,0.00029352587,0.00038163687,0.0001905143,0.00043568522,0.00025186042,0.00044448607,0.0005084988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017823049,0.00011022481,0.0009697929,0.00016392779,0.000009306292,0.00015633003,0.00003823112,0.0020333123,0.9838817,0.00006983061,0.00011525228,0.012273879],"study_design_scores_gemma":[0.000018948534,0.0009148908,0.0094686,0.000009560882,0.000026374357,0.0001453825,0.00004337661,0.005755176,0.98218876,0.000021664686,0.001389505,0.000017673097],"about_ca_topic_score_codex":0.00088656356,"about_ca_topic_score_gemma":0.0021048817,"teacher_disagreement_score":0.0011037213,"about_ca_system_score_codex":0.0003392607,"about_ca_system_score_gemma":0.0002449812,"threshold_uncertainty_score":0.003692329},"labels":[],"label_agreement":null},{"id":"W4415373337","doi":"10.3389/feart.2025.1634237","title":"From rocks to pixels: a comprehensive framework for grain shape characterization through image analysis of roundness and roughness descriptors","year":2025,"lang":"en","type":"article","venue":"Frontiers in Earth Science","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre de Santé et de Services Sociaux de Chicoutimi; Institut National de la Recherche Scientifique; Université du Québec à Chicoutimi","funders":"","keywords":"Roundness (object); Surface finish; Principal component analysis; Computation; Surface roughness; Characterization (materials science); Pattern recognition (psychology); Shape analysis (program analysis)","score_opus":0.013916174884431696,"score_gpt":0.2691602675097311,"score_spread":0.2552440926252994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415373337","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004906876,0.0006143248,0.98779976,0.00011232609,0.000022802591,0.00013326667,0.0012644026,0.0035143087,0.001631913],"genre_scores_gemma":[0.08458502,0.0012286587,0.9061948,0.00013050596,0.00007163205,0.00044350763,0.004208716,0.00089391303,0.0022433088],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992118,0.00009986657,0.000073219424,0.00027901234,0.00026510947,0.000070910544],"domain_scores_gemma":[0.9993513,0.00016622093,0.000102019054,0.00013457438,0.00019249077,0.00005341036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008697034,0.0012793265,0.00090704183,0.0056984187,0.0005338231,0.0038873153,0.001533885,0.0008343979,0.0034050308],"category_scores_gemma":[0.0021449835,0.00057510537,0.0021825803,0.0031476843,0.0013008087,0.0029485489,0.0019831397,0.0014324044,0.0020940886],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002421939,0.000187769,0.015605464,0.0012837821,0.00033135095,0.00075780397,0.0017057266,0.07368567,0.050419778,0.113462254,0.021458061,0.7208602],"study_design_scores_gemma":[0.000035966452,0.0001965968,0.021797758,0.00029814322,0.00021325165,0.0009443925,0.001373574,0.69997025,0.021620527,0.15461397,0.09870976,0.00022582106],"about_ca_topic_score_codex":0.0077085407,"about_ca_topic_score_gemma":0.008323131,"teacher_disagreement_score":0.0077085407,"about_ca_system_score_codex":0.00079774146,"about_ca_system_score_gemma":0.0009848151,"threshold_uncertainty_score":0.015327334},"labels":[],"label_agreement":null},{"id":"W4415389560","doi":"10.4043/36255-ms","title":"Image-Based Lithology Classification Using Hybrid Deep Learning Architectures and Diffusion-Based Data Augmentation: Application to Brazilian Pre-Salt Carbonate Reservoirs","year":2025,"lang":"","type":"article","venue":"OTC Brasil","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Deep learning; Pipeline (software); Lithology; Submarine pipeline; Artificial neural network; Convolution (computer science); Contrast (vision); Stability (learning theory)","score_opus":0.02028020343387244,"score_gpt":0.3028868818622855,"score_spread":0.2826066784284131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415389560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9310507,0.0010906578,0.055808242,0.00074354484,0.00016979857,0.000125545,0.0016379819,0.004767117,0.004606255],"genre_scores_gemma":[0.96045023,0.00021607448,0.035127148,0.00013308688,0.000029013134,0.000030233547,0.0019763864,0.00012984259,0.0019079747],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997137,0.00003763713,0.000017168253,0.00009436706,0.00007303215,0.00006408193],"domain_scores_gemma":[0.9996251,0.00010132135,0.00004144695,0.0000614647,0.00012931075,0.000041390547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006895061,0.001089402,0.000517884,0.0011298761,0.00034367363,0.00082990073,0.0009498875,0.00070957706,0.00081762037],"category_scores_gemma":[0.0012942126,0.00024487192,0.00060741993,0.00082308415,0.00043208274,0.00059734023,0.0008620093,0.00072347076,0.00047085737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013341128,0.00062140985,0.045166172,0.00076513854,0.00035170486,0.001513518,0.00045765738,0.34011602,0.09951411,0.00099605,0.010899042,0.498265],"study_design_scores_gemma":[0.000036434074,0.00013247403,0.012932206,0.00004102809,0.000048175658,0.00013134486,0.00018386602,0.9518454,0.03200932,0.00062642485,0.0019809827,0.00003228727],"about_ca_topic_score_codex":0.025390496,"about_ca_topic_score_gemma":0.032124285,"teacher_disagreement_score":0.025390496,"about_ca_system_score_codex":0.0007071634,"about_ca_system_score_gemma":0.0008569178,"threshold_uncertainty_score":0.050485432},"labels":[],"label_agreement":null},{"id":"W4415397485","doi":"10.1080/19236026.2025.2562795","title":"Drill-hole spacing optimization for profit in grade control","year":2025,"lang":"en","type":"article","venue":"CIM Journal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Profit (economics); Control (management); Profit maximization; Control system","score_opus":0.007783969055490871,"score_gpt":0.24070082418077018,"score_spread":0.23291685512527932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415397485","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07459505,0.0002237289,0.9211761,0.0002499983,0.000025585938,0.00006600094,0.0001281204,0.00023530163,0.003300041],"genre_scores_gemma":[0.89691085,0.000111458416,0.101210915,0.00005419667,0.00001069588,0.00006854766,0.000120179226,0.00007196261,0.0014412296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990689,0.00036223666,0.000045225053,0.00017626247,0.00019189958,0.00015545468],"domain_scores_gemma":[0.9971154,0.0020083326,0.00029254708,0.00016772593,0.00031749054,0.0000985833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031247935,0.00073328806,0.0009945566,0.00063046545,0.00032489738,0.0012940026,0.0010985306,0.0010719263,0.001993017],"category_scores_gemma":[0.008806941,0.0005081788,0.0006412709,0.00055261824,0.0011788724,0.0015222433,0.0011223829,0.0010385766,0.00018311743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022625121,0.000010796759,0.00029241087,0.000012847283,0.000004850245,0.0000148676045,0.000012571824,0.9916802,0.0003830924,0.003935943,0.00009894184,0.003530824],"study_design_scores_gemma":[0.000004204616,0.00001866377,0.00012290172,0.0000035713526,0.0000025089078,0.0000060199054,0.000008571757,0.99632394,0.0003540961,0.0030247609,0.00012733128,0.0000034281782],"about_ca_topic_score_codex":0.0061536566,"about_ca_topic_score_gemma":0.0039837267,"teacher_disagreement_score":0.0061536566,"about_ca_system_score_codex":0.0016348718,"about_ca_system_score_gemma":0.0016707025,"threshold_uncertainty_score":0.016525686},"labels":[],"label_agreement":null},{"id":"W4415501721","doi":"10.5194/egusphere-2025-4991","title":"Technical note: Further adjustments to the Rock-Eval® thermal analysis for soil organic and inorganic carbon quantification to avoid post-hoc corrections","year":2025,"lang":"","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Nemzeti Kutatási, Fejlesztési és Innovaciós Alap; Agriculture and Agri-Food Canada; Horizon 2020; IFP Energies Nouvelles; Agence Nationale de la Recherche; European Commission","keywords":"Pyrolysis; Decomposition; Carbon fibers; Total organic carbon; Elemental analysis; Thermal decomposition; Soil carbon; Thermal analysis; Carbon cycle","score_opus":0.011331639089424512,"score_gpt":0.2585931481937262,"score_spread":0.2472615091043017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415501721","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034658115,0.002293268,0.7633643,0.0068747182,0.02587199,0.008225458,0.04296778,0.08505213,0.030692235],"genre_scores_gemma":[0.03851733,0.0013794453,0.77928716,0.0045564827,0.0022664515,0.016230118,0.03706575,0.028358486,0.09233874],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.98896796,0.0017635798,0.0013914186,0.0026010508,0.004781221,0.0004948254],"domain_scores_gemma":[0.9664189,0.005971431,0.0015288246,0.009156058,0.01612883,0.0007959645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017096804,0.002699933,0.0018778588,0.0049034557,0.0019862992,0.0018115073,0.0030995966,0.0022672703,0.101804316],"category_scores_gemma":[0.033702653,0.0018750767,0.0025890528,0.0029551676,0.0017126683,0.002317612,0.0030207585,0.0045925053,0.09745422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015844619,0.00045932655,0.0048028403,0.003799899,0.00026230083,0.0012604772,0.00085453916,0.0011906789,0.4487944,0.0031182668,0.28199348,0.25187942],"study_design_scores_gemma":[0.0001862495,0.00038532808,0.010355393,0.00045304385,0.00021753498,0.0018160713,0.00023701978,0.0042029517,0.21524248,0.0021586413,0.7644672,0.0002780511],"about_ca_topic_score_codex":0.0015792894,"about_ca_topic_score_gemma":0.0037787473,"teacher_disagreement_score":0.101804316,"about_ca_system_score_codex":0.00092082814,"about_ca_system_score_gemma":0.003692455,"threshold_uncertainty_score":0.34056938},"labels":[],"label_agreement":null},{"id":"W4415929271","doi":"10.1177/25726668251391540","title":"Predicting energy consumption SAG mills through Bayesian generalized linear model and random forest","year":2025,"lang":"en","type":"article","venue":"Mining Technology Transactions of the Institutions of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Energy consumption; Random forest; Energy (signal processing); Bayesian probability; Consumption (sociology); Copper mine; Random variable","score_opus":0.01957503386188411,"score_gpt":0.24948146798432433,"score_spread":0.22990643412244022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415929271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53572536,0.0011426903,0.45530462,0.0009363172,0.00010533278,0.00012813687,0.0027106276,0.001827472,0.0021194508],"genre_scores_gemma":[0.93743163,0.0002524231,0.057880837,0.000119652235,0.000043059445,0.000095154384,0.0029062035,0.000047893747,0.0012230988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922466,0.00037535763,0.00003623067,0.00017385997,0.00008997511,0.00009999776],"domain_scores_gemma":[0.99876106,0.0008761834,0.00011741621,0.000058822512,0.00015335064,0.000033185468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022668692,0.00095005264,0.0008562804,0.001182892,0.00029507047,0.00070253416,0.0010622932,0.00086485746,0.00091915467],"category_scores_gemma":[0.0032139109,0.000399901,0.0014205687,0.0011991406,0.0003028602,0.0007543697,0.0004622247,0.0010092902,0.00041737506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013629935,0.00010662558,0.0107013155,0.00004901337,0.00008981558,0.00007741353,0.000030722957,0.9494554,0.0004658707,0.0009531108,0.0013202028,0.036614206],"study_design_scores_gemma":[0.0000047207786,0.00001869417,0.0011435116,0.0000049097557,0.0000067756505,0.0000066296275,0.000008787664,0.99774027,0.00006864617,0.0008695351,0.000122184,0.000005308094],"about_ca_topic_score_codex":0.023247773,"about_ca_topic_score_gemma":0.026826588,"teacher_disagreement_score":0.023247773,"about_ca_system_score_codex":0.0005120846,"about_ca_system_score_gemma":0.000753691,"threshold_uncertainty_score":0.04622495},"labels":[],"label_agreement":null},{"id":"W4415929528","doi":"10.1016/j.cageo.2025.106074","title":"Integrating Variational Auto-Encoders (VAEs) and spatial interpolation for improving rock mass domaining in open pit mines","year":2025,"lang":"en","type":"article","venue":"Computers & Geosciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Weighting; Interpolation (computer graphics); Rock mass classification; Radial basis function; Artificial neural network; Multivariate interpolation; Autoencoder; Inverse distance weighting; Pattern recognition (psychology); Kriging","score_opus":0.01150164073670966,"score_gpt":0.2534553837074935,"score_spread":0.2419537429707838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415929528","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0644428,0.00037260438,0.9322888,0.00010832295,0.00006959165,0.000024220397,0.00014814423,0.001337446,0.0012081275],"genre_scores_gemma":[0.62659836,0.00018891679,0.36932218,0.00008534316,0.000034185792,0.000034196033,0.00049682864,0.00029880618,0.0029411458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969757,0.00006626825,0.000016877744,0.00007531194,0.00009905526,0.000044878227],"domain_scores_gemma":[0.9994259,0.00025915838,0.000036725745,0.000084609455,0.00016030563,0.00003329832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076626387,0.0005623499,0.0008180392,0.0005388,0.00030953006,0.00066173146,0.0012014963,0.0008606517,0.0017158148],"category_scores_gemma":[0.0018451369,0.0005188539,0.0006646107,0.0005802786,0.0004202402,0.00092469034,0.001117055,0.0009952963,0.00049077783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018636417,0.00012870567,0.0018859919,0.000086267035,0.00006376621,0.000046829406,0.00008843745,0.73910457,0.011649383,0.0034836228,0.0016486734,0.24162741],"study_design_scores_gemma":[0.0000023014843,0.0000074337404,0.00008297933,0.0000015221722,0.000002353958,0.000004303279,0.000004212065,0.9986584,0.0007645836,0.0003165912,0.00015335974,0.0000018998558],"about_ca_topic_score_codex":0.017148517,"about_ca_topic_score_gemma":0.029606787,"teacher_disagreement_score":0.017148517,"about_ca_system_score_codex":0.00036841715,"about_ca_system_score_gemma":0.001198508,"threshold_uncertainty_score":0.034097433},"labels":[],"label_agreement":null},{"id":"W4415945076","doi":"10.1007/978-3-032-00182-5_10","title":"Copper Geometallurgy Programs: Comparison Between Different Deposit Types","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ivanhoe Energy (Canada); Parks Canada","funders":"","keywords":"Tailings; Porphyry copper deposit; Mineral deposit; Mineral exploration; Tectonics; Mineral processing; Plan (archaeology); Copper mine","score_opus":0.025311379728198597,"score_gpt":0.23916374367439452,"score_spread":0.21385236394619592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415945076","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31678993,0.0040532243,0.09548006,0.00035928126,0.00017614968,0.0005210395,0.010141457,0.016972046,0.5555069],"genre_scores_gemma":[0.45054692,0.0037506185,0.17330045,0.00012931234,0.00003580533,0.00034627927,0.016271666,0.008900793,0.3467181],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995896,0.000055533535,0.000018861028,0.000051453862,0.00024584236,0.000038748993],"domain_scores_gemma":[0.9991659,0.00048786716,0.00003684271,0.00008090603,0.00018978363,0.000038748192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045624824,0.00038657602,0.0002744675,0.001652395,0.00039259976,0.0009121964,0.0010235806,0.0002541266,0.040811393],"category_scores_gemma":[0.0015474897,0.00032260714,0.00034437535,0.0027365945,0.00020621592,0.0008704594,0.00054153625,0.00023430532,0.0065565575],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065656746,0.0002593254,0.007123388,0.0006349714,0.000030522144,0.0000895463,0.00031632368,0.007491756,0.011173405,0.007420073,0.04271663,0.9220874],"study_design_scores_gemma":[0.00033391017,0.0012722769,0.121414654,0.00046367105,0.00030019708,0.0016019498,0.0019957703,0.0668761,0.14739677,0.010528009,0.64766407,0.00015270329],"about_ca_topic_score_codex":0.0081207445,"about_ca_topic_score_gemma":0.01968433,"teacher_disagreement_score":0.040811393,"about_ca_system_score_codex":0.0008009437,"about_ca_system_score_gemma":0.0008269654,"threshold_uncertainty_score":0.13652772},"labels":[],"label_agreement":null},{"id":"W4416020842","doi":"10.1007/s40571-025-01092-y","title":"Advances in discrete element modeling of rock fracture for next-generation comminution models","year":2025,"lang":"en","type":"article","venue":"Computational Particle Mechanics","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Particle Physics","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; Hrvatska Zaklada za Znanost; National Science Foundation","keywords":"Comminution; Discrete element method; Extended discrete element method; Element (criminal law); Context (archaeology); Process (computing)","score_opus":0.04255811219030849,"score_gpt":0.28357857343721293,"score_spread":0.24102046124690443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416020842","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011182265,0.00071257673,0.9795924,0.00080767437,0.000116955496,0.0000350515,0.000105303676,0.0002498856,0.007197988],"genre_scores_gemma":[0.5399205,0.003273125,0.441622,0.00042845012,0.0002224302,0.0003110002,0.0004179581,0.00040238147,0.013402153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996171,0.00013730426,0.000020016947,0.000038338876,0.00016088634,0.000026376752],"domain_scores_gemma":[0.9991874,0.00041859673,0.00006240244,0.00011340731,0.0001684702,0.000049730785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009879844,0.0005030732,0.0008611735,0.0005835782,0.00046882808,0.0015072598,0.0018873502,0.0015710711,0.002986909],"category_scores_gemma":[0.002002405,0.00045303736,0.00097131194,0.0005889567,0.0011302453,0.001085602,0.001121655,0.0019295096,0.0010073032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002256491,0.000049526214,0.0007942716,0.000091183734,0.000025182195,0.00006743715,0.000085406406,0.91493857,0.002639726,0.0654733,0.0010033459,0.014809415],"study_design_scores_gemma":[0.0000025317765,0.000004133664,0.00004148147,0.000007207698,0.0000017383413,0.00000846563,0.0000070770166,0.9927194,0.00019216706,0.004520391,0.0024923778,0.0000030984436],"about_ca_topic_score_codex":0.0067558372,"about_ca_topic_score_gemma":0.005368396,"teacher_disagreement_score":0.0067558372,"about_ca_system_score_codex":0.00079980266,"about_ca_system_score_gemma":0.0011341852,"threshold_uncertainty_score":0.013433039},"labels":[],"label_agreement":null},{"id":"W4416046127","doi":"10.1016/j.mineng.2025.109910","title":"Predicting the Semi-Autogenous Grinding (SAG) power index based on rock geochemical composition using machine learning algorithms","year":2025,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hudbay Minerals (Canada)","funders":"","keywords":"Gradient boosting; Random forest; Boosting (machine learning); Ensemble learning; Predictive modelling; Mill; Grind; Pulverizer","score_opus":0.007738186962980718,"score_gpt":0.21462220748265537,"score_spread":0.20688402051967464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416046127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.885808,0.0003808942,0.11073842,0.000079031,0.00002694426,0.000025522799,0.00048593702,0.0008795555,0.0015757256],"genre_scores_gemma":[0.9867864,0.00008745335,0.012224047,0.000011956288,0.000010369977,0.000008589302,0.00036444838,0.0000255475,0.00048121598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998622,0.000012974521,0.00000969687,0.000047614958,0.00005059275,0.000016985054],"domain_scores_gemma":[0.9995042,0.00016793977,0.00010824089,0.000033035165,0.00015721782,0.000029502091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034661626,0.00054370594,0.0005226658,0.0016902463,0.00017332353,0.0005213803,0.00045038402,0.0005615708,0.0005441972],"category_scores_gemma":[0.0009205535,0.0002386434,0.00047765393,0.00097445457,0.00023728481,0.0006574162,0.00022587372,0.00034752037,0.00040950556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004944842,0.0003639631,0.17359418,0.0001584694,0.00018259522,0.00033380903,0.000051350962,0.5697011,0.056443337,0.00055646774,0.001319422,0.19680086],"study_design_scores_gemma":[0.0000040687423,0.00001703783,0.013880003,0.0000019874715,0.000009399569,0.000024652494,0.0000064093006,0.9822603,0.0035115723,0.00019343408,0.00008534821,0.0000057425655],"about_ca_topic_score_codex":0.004419589,"about_ca_topic_score_gemma":0.0070230095,"teacher_disagreement_score":0.004419589,"about_ca_system_score_codex":0.00038429335,"about_ca_system_score_gemma":0.0003249215,"threshold_uncertainty_score":0.008787751},"labels":[],"label_agreement":null},{"id":"W4416066159","doi":"10.1080/17480930.2025.2586062","title":"Multivariate time series based on deep learning models for mill throughput forecasting using feature selection: an enhanced analysis given grade uncertainty","year":2025,"lang":"en","type":"article","venue":"International Journal of Mining Reclamation and Environment","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Multivariate statistics; Time series; Deep learning; Series (stratigraphy); Feature (linguistics); Mill; Throughput; Pattern recognition (psychology)","score_opus":0.024138350066188904,"score_gpt":0.25814767709687053,"score_spread":0.2340093270306816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416066159","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18426941,0.0004037413,0.81244016,0.00032196578,0.00007270778,0.000026929192,0.00026461287,0.0008482127,0.001352309],"genre_scores_gemma":[0.9663086,0.00014261133,0.03237488,0.000034877754,0.00003130485,0.000021833395,0.00024070562,0.00003410336,0.00081107405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978024,0.000049657563,0.000014256154,0.00005248782,0.000075985154,0.000027341928],"domain_scores_gemma":[0.99947256,0.0002441657,0.00008118124,0.000055319735,0.0001284559,0.000018404957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007922518,0.00070971705,0.0006171783,0.0004314353,0.00017250031,0.0006142512,0.0006153733,0.00037182882,0.00064448116],"category_scores_gemma":[0.0016629559,0.00022309365,0.0006034974,0.00060758233,0.00019836682,0.0008097771,0.00042019773,0.0009530422,0.00018261856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007710062,0.00006909001,0.00342319,0.000028891345,0.000054173906,0.00006206918,0.000022798837,0.9193876,0.0033451293,0.0015961968,0.0005499364,0.071383916],"study_design_scores_gemma":[8.570967e-7,0.00000852994,0.00035584864,0.0000010383292,0.000002847792,0.0000028091467,0.0000015310691,0.9988336,0.00035738517,0.00036682823,0.00006676758,0.000001919199],"about_ca_topic_score_codex":0.005849686,"about_ca_topic_score_gemma":0.006959695,"teacher_disagreement_score":0.005849686,"about_ca_system_score_codex":0.00047203252,"about_ca_system_score_gemma":0.0005111032,"threshold_uncertainty_score":0.01163131},"labels":[],"label_agreement":null},{"id":"W4416144066","doi":"10.1007/978-3-032-00102-3_153","title":"Sitewide De-Bottlenecking and Optimization Using Digital Solutions","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Environment","funders":"","keywords":"Bottleneck; Process (computing); Control (management); Key (lock); Instrumentation (computer programming); Process control; Operational efficiency; Control system","score_opus":0.020767160230065904,"score_gpt":0.2111753220160176,"score_spread":0.1904081617859517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416144066","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031644937,0.0008383482,0.9429666,0.00022982749,0.00013974082,0.000042482887,0.00013446678,0.0012273731,0.05125678],"genre_scores_gemma":[0.1226834,0.0024865002,0.77696145,0.00026202496,0.00015355618,0.00017169028,0.0005535646,0.00097353803,0.09575422],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996952,0.000053228967,0.000013347723,0.000065197346,0.00013414791,0.00003891289],"domain_scores_gemma":[0.9996815,0.00014630279,0.000020113172,0.00007151701,0.00006695043,0.00001365689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045672126,0.001119446,0.00082340656,0.0006602489,0.00044635215,0.0016623298,0.001297209,0.00083823496,0.02302564],"category_scores_gemma":[0.0009487632,0.0005779551,0.00065962406,0.0015157495,0.0005212044,0.0015667449,0.0011986004,0.001381141,0.0038354883],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005005959,0.00010815419,0.00024725808,0.00024757045,0.00004621418,0.00005196981,0.000053129224,0.39262635,0.008452218,0.07589817,0.020911094,0.50130785],"study_design_scores_gemma":[0.000022691724,0.000078138575,0.00029509334,0.00006193762,0.00003549256,0.00009133766,0.000084463136,0.8431016,0.009081434,0.07792261,0.069203846,0.000021400068],"about_ca_topic_score_codex":0.0030235858,"about_ca_topic_score_gemma":0.006920266,"teacher_disagreement_score":0.02302564,"about_ca_system_score_codex":0.00084437965,"about_ca_system_score_gemma":0.0010565212,"threshold_uncertainty_score":0.077028394},"labels":[],"label_agreement":null},{"id":"W4416144233","doi":"10.1007/978-3-032-00102-3_159","title":"Real-Time Optimization of Grinding in Copper Processing","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kamloops Art Gallery","funders":"","keywords":"Process control; Instrumentation (computer programming); Process (computing); Data processing; Work (physics); Grinding; Control system; Implementation","score_opus":0.009949041085111559,"score_gpt":0.21751971919579535,"score_spread":0.2075706781106838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416144233","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029134022,0.0043257135,0.9257464,0.00026022588,0.00027163667,0.000059424532,0.00024756277,0.0026890414,0.0372661],"genre_scores_gemma":[0.5276483,0.002966308,0.41015202,0.00010029547,0.00015268735,0.00012907173,0.0004612835,0.0013867709,0.057003353],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996995,0.000043777127,0.000007930918,0.000060010763,0.00016333057,0.000025396299],"domain_scores_gemma":[0.9998018,0.0001054772,0.000022972268,0.00002133558,0.000043428223,0.0000049815562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026949533,0.0008713981,0.00065691257,0.00026461727,0.00021853461,0.0009023993,0.0008934303,0.0005290141,0.0061830077],"category_scores_gemma":[0.0005830031,0.00040149805,0.00039443138,0.00069639593,0.00027747088,0.00057871605,0.00029381286,0.00056717376,0.0014311791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002527805,0.000098797114,0.0002858833,0.0003715608,0.000028175737,0.000055350858,0.00004405794,0.59365547,0.06261704,0.005712848,0.0075406106,0.32933742],"study_design_scores_gemma":[0.000007836708,0.00008617902,0.0005020753,0.000013117486,0.000011376438,0.000039846054,0.000015585885,0.96813244,0.020818314,0.002354678,0.008005219,0.000013270529],"about_ca_topic_score_codex":0.002213678,"about_ca_topic_score_gemma":0.0042719874,"teacher_disagreement_score":0.0061830077,"about_ca_system_score_codex":0.0005574782,"about_ca_system_score_gemma":0.00038306348,"threshold_uncertainty_score":0.020684183},"labels":[],"label_agreement":null},{"id":"W4416337245","doi":"10.3390/app152212222","title":"A Hybrid AI Framework for Integrated Predictive Maintenance and Mineral Quality Assessment in Mining","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Downtime; Artificial neural network; Inference; Quality (philosophy); Fault detection and isolation; Convolutional neural network","score_opus":0.022087266816730792,"score_gpt":0.3203384684412867,"score_spread":0.29825120162455593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416337245","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014659935,0.00049102167,0.9806388,0.0002181817,0.00005250482,0.0000355961,0.00012648359,0.0014378388,0.002339553],"genre_scores_gemma":[0.7808593,0.00041997977,0.21428521,0.00019479849,0.00008438955,0.000112169306,0.0003595338,0.00008538479,0.0035991836],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998115,0.000022447695,0.000011005514,0.000069919064,0.000059765716,0.000025495052],"domain_scores_gemma":[0.9997702,0.00009080016,0.00002868298,0.000025072579,0.00006714372,0.000018142098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041192386,0.00057503796,0.00045294344,0.0004162228,0.00026118633,0.00081864273,0.0012998013,0.0006298813,0.0013205914],"category_scores_gemma":[0.0008742277,0.000246362,0.0005284353,0.00036586073,0.00041350388,0.0009060058,0.0008031306,0.00086069317,0.0003169348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009145159,0.00011353776,0.0016850971,0.000089648725,0.00009166403,0.00015034198,0.00008649285,0.8362719,0.00740259,0.012703325,0.001921498,0.13939252],"study_design_scores_gemma":[0.0000023466023,0.00001489484,0.00012944298,0.0000030754597,0.000006280834,0.00001316825,0.0000036503636,0.995704,0.0005343767,0.0030646345,0.00052091875,0.0000032580715],"about_ca_topic_score_codex":0.011098318,"about_ca_topic_score_gemma":0.013209645,"teacher_disagreement_score":0.011098318,"about_ca_system_score_codex":0.000662335,"about_ca_system_score_gemma":0.0010349675,"threshold_uncertainty_score":0.022067428},"labels":[],"label_agreement":null},{"id":"W4416956837","doi":"10.1144/geochem2025-053","title":"Applications of machine vision and machine learning for deposit characterization at the Castelo de Sonhos paleoplacer gold deposit, Brazil","year":2025,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Golder Associates (Canada)","funders":"","keywords":"Machine vision; Scalability; Characterization (materials science); Drilling; Gold ore; Sedimentary depositional environment","score_opus":0.005044432578583046,"score_gpt":0.20903173454503618,"score_spread":0.20398730196645312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416956837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6707977,0.0012869313,0.31622118,0.00072272035,0.00008731562,0.00016253618,0.0010236566,0.0030049346,0.0066930396],"genre_scores_gemma":[0.88080066,0.00022115906,0.11748145,0.00005398447,0.000016102413,0.000034233486,0.00049846095,0.000057845504,0.0008361881],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99951816,0.00007414291,0.000033825494,0.00014423233,0.00015275301,0.00007685857],"domain_scores_gemma":[0.9994905,0.00016184048,0.00006255247,0.000047774753,0.0001976096,0.000039618524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007819463,0.0007477411,0.0003854864,0.0025061558,0.00036188058,0.0011300424,0.0005879026,0.00064630306,0.0006344407],"category_scores_gemma":[0.0015636777,0.00024826158,0.000508265,0.0010172335,0.00032105678,0.0005176224,0.00060964853,0.0004091698,0.00036590817],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020484538,0.00027185536,0.0569415,0.00026958704,0.0001606556,0.00039949763,0.0003509737,0.1790369,0.07350154,0.0014018888,0.0023646834,0.6850961],"study_design_scores_gemma":[0.000008548905,0.00002837797,0.022941941,0.000021335656,0.000016093098,0.00008195001,0.00017177059,0.9604266,0.01403564,0.0011057336,0.0011452241,0.000016764172],"about_ca_topic_score_codex":0.02430164,"about_ca_topic_score_gemma":0.029218484,"teacher_disagreement_score":0.02430164,"about_ca_system_score_codex":0.0008117654,"about_ca_system_score_gemma":0.0011343927,"threshold_uncertainty_score":0.048320413},"labels":[],"label_agreement":null},{"id":"W4417150062","doi":"10.48550/arxiv.2503.16539","title":"A Digital Twin Simulator of a Pastillation Process with Applications to Automatic Control based on Computer Vision","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Process (computing); Controller (irrigation); Benchmark (surveying); Range (aeronautics); Identification (biology); Convolutional neural network; Soft sensor; Artificial neural network; Automatic control","score_opus":0.011487706537159418,"score_gpt":0.2585637134183594,"score_spread":0.24707600688119996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417150062","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21654487,0.00035914587,0.74124765,0.00071820605,0.00024631553,0.00026556334,0.0020229544,0.0031529167,0.035442267],"genre_scores_gemma":[0.92810917,0.00018510729,0.06394499,0.00010063696,0.000015941981,0.00025591376,0.00066352496,0.00015960152,0.006565062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999871,0.000021156155,0.0000067225365,0.000028887458,0.000054195767,0.00001796906],"domain_scores_gemma":[0.99950194,0.00029381586,0.00004056184,0.000046526027,0.00007875463,0.000038466296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029014368,0.00050515844,0.00038747926,0.00035929808,0.0003267356,0.0007415624,0.00094665575,0.0010419446,0.0065855966],"category_scores_gemma":[0.001204128,0.00026623002,0.00048968603,0.00031172804,0.0005029354,0.0005493383,0.0004918981,0.0006840977,0.00035536714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037756767,0.000027253805,0.0004042388,0.00002980907,0.000006691953,0.000030821582,0.000017279286,0.9918333,0.00192093,0.002929039,0.00026733617,0.002495481],"study_design_scores_gemma":[0.0000058951578,0.0000096784315,0.000048005266,0.0000014841718,0.0000014389176,0.000004118208,0.000002135724,0.99851793,0.0005837963,0.00042329179,0.0004001601,0.0000021254145],"about_ca_topic_score_codex":0.012334421,"about_ca_topic_score_gemma":0.0071477043,"teacher_disagreement_score":0.012334421,"about_ca_system_score_codex":0.0008392992,"about_ca_system_score_gemma":0.0011823407,"threshold_uncertainty_score":0.024525225},"labels":[],"label_agreement":null},{"id":"W4417486177","doi":"10.1016/j.ifacol.2025.12.402","title":"Data reconciliation of mineral liberation distributions","year":2025,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agnico Eagle (Canada); Université Laval","funders":"","keywords":"Mineral; Mineral processing; Gangue; Multilinear map; Reliability (semiconductor); Liberation; Quartz","score_opus":0.027934816017484893,"score_gpt":0.27821436491402235,"score_spread":0.2502795488965375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417486177","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06979502,0.00059276534,0.91323215,0.00024855346,0.00014711174,0.00018868095,0.004545169,0.008901777,0.0023487671],"genre_scores_gemma":[0.48784438,0.00037217778,0.48788348,0.00014426351,0.00008390048,0.00042215802,0.02008961,0.0019047335,0.0012552151],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9898163,0.0020348066,0.0011522968,0.003358707,0.0030977158,0.00054013997],"domain_scores_gemma":[0.9840157,0.00284499,0.001369039,0.00608599,0.0055296477,0.00015460259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010741884,0.0024988938,0.0019387567,0.00853971,0.0010649972,0.0033773135,0.0024656889,0.001092802,0.0019497381],"category_scores_gemma":[0.02729512,0.0007826165,0.0018928095,0.0059637963,0.0009398082,0.0031013181,0.003973398,0.0016933002,0.0017928948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018237643,0.00045748512,0.09869142,0.0010777309,0.0010225113,0.000634537,0.001239225,0.08528229,0.047420118,0.011753792,0.008807074,0.74179],"study_design_scores_gemma":[0.00015941176,0.0003536549,0.051501255,0.00016693753,0.00043465797,0.0007652027,0.00074257853,0.67655355,0.18377586,0.033217367,0.05199306,0.0003364512],"about_ca_topic_score_codex":0.002875109,"about_ca_topic_score_gemma":0.002461467,"teacher_disagreement_score":0.010741884,"about_ca_system_score_codex":0.0010190847,"about_ca_system_score_gemma":0.002329687,"threshold_uncertainty_score":0.056809247},"labels":[],"label_agreement":null},{"id":"W4417486361","doi":"10.1016/j.ifacol.2025.12.387","title":"Mineral liberation - The key to unlock the optimisation problem of separation processes","year":2025,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Process (computing); Process control; Key (lock); Process plant; Grinding; Control (management); Product (mathematics); Lead (geology); Work in process","score_opus":0.010482593241063065,"score_gpt":0.2587474884949302,"score_spread":0.2482648952538671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417486361","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010797182,0.008336559,0.9649069,0.0046276073,0.00023479959,0.00004501785,0.0001035402,0.00023626433,0.010712212],"genre_scores_gemma":[0.6833782,0.02133787,0.2741396,0.0011901328,0.0009736015,0.00015356869,0.00031420164,0.0007207298,0.017792063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980585,0.00040141662,0.000111422276,0.00046138768,0.00085235527,0.00011493815],"domain_scores_gemma":[0.9970246,0.0017575767,0.0004043417,0.00039710684,0.0003265633,0.00008975517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027096006,0.0007846454,0.0017693412,0.00074956496,0.00063406164,0.003684228,0.0011682293,0.0017636252,0.0029956687],"category_scores_gemma":[0.0061972765,0.00063306204,0.001021276,0.0007406683,0.0044541084,0.007465702,0.0022707237,0.004931244,0.00091616664],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037477614,0.000087469874,0.001189127,0.0011908889,0.00009662082,0.00014672888,0.00023743029,0.42634264,0.026204849,0.39326954,0.0022883588,0.14857157],"study_design_scores_gemma":[0.00004986106,0.00019718806,0.00081742037,0.00017698038,0.00003315741,0.00019265445,0.00008281565,0.42521054,0.018170161,0.51661336,0.038373303,0.00008256448],"about_ca_topic_score_codex":0.0015980408,"about_ca_topic_score_gemma":0.0007506068,"teacher_disagreement_score":0.003684228,"about_ca_system_score_codex":0.0015698074,"about_ca_system_score_gemma":0.0014960278,"threshold_uncertainty_score":0.01432991},"labels":[],"label_agreement":null},{"id":"W4417486371","doi":"10.1016/j.ifacol.2025.12.392","title":"Self-optimizing control of secondary grinding – coping without particle size monitoring","year":2025,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Particle size; Grinding; Limiting; Sample size determination; Particle-size distribution; Control variable; Product (mathematics); Statistical process control","score_opus":0.007402315560563492,"score_gpt":0.23850886482312006,"score_spread":0.23110654926255655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417486371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5282471,0.00015769669,0.46441323,0.000053511438,0.000043431613,0.00008590051,0.000072627314,0.0016519855,0.0052743983],"genre_scores_gemma":[0.9874456,0.000014899696,0.011972843,0.000009559497,0.000004047143,0.0000149745965,0.000021031747,0.000024834875,0.0004922821],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972945,0.00002349077,0.000012497753,0.00009823891,0.00009248214,0.000043842116],"domain_scores_gemma":[0.9995628,0.00012469666,0.00011567307,0.00006392712,0.000110841946,0.00002204045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002781744,0.00054068497,0.00033987334,0.00026782296,0.00017496824,0.00048362775,0.00057032413,0.00015603815,0.00083352096],"category_scores_gemma":[0.00069301866,0.00013634023,0.0001937092,0.00015843517,0.00033062173,0.00027526967,0.00029425268,0.00022951547,0.0001618409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068454625,0.00039626297,0.00498037,0.00023725643,0.0000539659,0.00015117858,0.00021332878,0.15777521,0.6477182,0.0020919025,0.0008348019,0.18486299],"study_design_scores_gemma":[0.000029241792,0.0006474926,0.0059877085,0.0000066788753,0.000022346152,0.000104530496,0.000028981709,0.7364453,0.2538739,0.0008672216,0.001962707,0.000023849843],"about_ca_topic_score_codex":0.0012721906,"about_ca_topic_score_gemma":0.0019914783,"teacher_disagreement_score":0.0012721906,"about_ca_system_score_codex":0.00036316225,"about_ca_system_score_gemma":0.00035752237,"threshold_uncertainty_score":0.002788365},"labels":[],"label_agreement":null},{"id":"W51800386","doi":"10.1007/s00501-012-0010-2","title":"Trends in der Kontrolle von Aufbereitungsprozessen","year":2012,"lang":"de","type":"article","venue":"BHM Berg- und Hüttenmännische Monatshefte","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kelowna General Hospital","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.01840715312448634,"score_gpt":0.2648744698356018,"score_spread":0.24646731671111546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W51800386","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18530697,0.68370175,0.018969126,0.032027304,0.0022506076,0.00011312201,0.0020911365,0.0007897563,0.07475023],"genre_scores_gemma":[0.51325446,0.42272964,0.024301674,0.0052948343,0.0020648418,0.00013512744,0.0025628149,0.00028721153,0.02936942],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972524,0.00038065496,0.0003481861,0.00064938463,0.0010691198,0.00030021986],"domain_scores_gemma":[0.9895906,0.0029461118,0.0022069474,0.00025117674,0.0043378244,0.00066740933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034791892,0.0006079305,0.0006080157,0.002788954,0.00031254697,0.0031838361,0.0012634553,0.0015489107,0.0073210765],"category_scores_gemma":[0.006595549,0.00033761538,0.000490634,0.0035199614,0.0010846618,0.0030211,0.0008190641,0.0014363185,0.0030281588],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012732447,0.0004204704,0.013339565,0.0033087386,0.000072251845,0.00009694384,0.00033632756,0.0017112675,0.01929585,0.011040279,0.010583729,0.9385213],"study_design_scores_gemma":[0.000097173535,0.0036593166,0.071362235,0.0033683153,0.00032390977,0.0014616128,0.0023334664,0.0065237833,0.079259284,0.010903806,0.82055587,0.00015122238],"about_ca_topic_score_codex":0.003909695,"about_ca_topic_score_gemma":0.0065958584,"teacher_disagreement_score":0.0073210765,"about_ca_system_score_codex":0.0018783389,"about_ca_system_score_gemma":0.0021992507,"threshold_uncertainty_score":0.024491489},"labels":[],"label_agreement":null},{"id":"W590963124","doi":"","title":"A model for simulation and control of open-circuit rod milling operation","year":2010,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mill; Engineering; Range (aeronautics); Process engineering; Mechanical engineering","score_opus":0.042937196316849814,"score_gpt":0.286007524937854,"score_spread":0.24307032862100417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W590963124","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047058787,0.00032602364,0.92413163,0.00043151775,0.00018740317,0.00023101557,0.001137695,0.0027823457,0.02371352],"genre_scores_gemma":[0.90713096,0.00043268246,0.07076916,0.00015642335,0.000058021717,0.001013072,0.0009322765,0.0002598033,0.019247657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973434,0.000047959715,0.000019822099,0.00006556229,0.00008549776,0.00004691472],"domain_scores_gemma":[0.99925727,0.00038513937,0.000088584835,0.000055352248,0.00016948921,0.000044054297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000486615,0.0009581192,0.0011700239,0.00048053905,0.00064697355,0.0012549201,0.0020523134,0.0020818836,0.0091690635],"category_scores_gemma":[0.0017665917,0.00051373953,0.0008349315,0.00046328845,0.0006712529,0.000940735,0.00073899527,0.0016309773,0.0011695109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003762405,0.00001908404,0.00020365806,0.000026091435,0.000008215539,0.000038393642,0.00002414449,0.99222094,0.0010068488,0.004464555,0.0002886628,0.0016618044],"study_design_scores_gemma":[0.000008601112,0.00000885181,0.00003749438,0.0000021344217,0.0000026652422,0.0000041995577,0.00000209011,0.99866676,0.00016634278,0.0006777853,0.0004203559,0.0000027616093],"about_ca_topic_score_codex":0.016162507,"about_ca_topic_score_gemma":0.006508221,"teacher_disagreement_score":0.016162507,"about_ca_system_score_codex":0.0009041728,"about_ca_system_score_gemma":0.0010244532,"threshold_uncertainty_score":0.032136858},"labels":[],"label_agreement":null},{"id":"W593740547","doi":"","title":"Control Strategy in a Centrifugal Separation Process","year":2010,"lang":"en","type":"book","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","score_opus":0.012667383229037382,"score_gpt":0.2653629233533174,"score_spread":0.25269554012428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W593740547","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17818065,0.0017156978,0.7636652,0.0017328974,0.00032505434,0.00037798667,0.00022867747,0.00087988476,0.052893978],"genre_scores_gemma":[0.97413,0.00031338385,0.0136778215,0.00009247492,0.00002467641,0.00012413185,0.00005400484,0.000021418391,0.011562226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995401,0.00007496259,0.000027718077,0.00013826272,0.00014212288,0.000076778866],"domain_scores_gemma":[0.9995788,0.000118222975,0.000079757214,0.000019266745,0.00015813511,0.000045947625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006725669,0.00095296866,0.0006757788,0.0004728535,0.0010237854,0.002189843,0.0010672996,0.0013833249,0.004941632],"category_scores_gemma":[0.0008185948,0.0003273199,0.0006147824,0.00037437156,0.0006480177,0.0006484978,0.0010866481,0.0007589589,0.00057485874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058164145,0.00019030547,0.0014952598,0.00047049925,0.00009209894,0.00082049594,0.00039409238,0.8763187,0.0401688,0.024416763,0.0023050627,0.052746233],"study_design_scores_gemma":[0.00003583991,0.00018728137,0.0003895338,0.000014795021,0.000025997786,0.000035928577,0.000042313906,0.99304706,0.0028602462,0.0018428399,0.0014977882,0.000020309484],"about_ca_topic_score_codex":0.01822938,"about_ca_topic_score_gemma":0.0066509913,"teacher_disagreement_score":0.01822938,"about_ca_system_score_codex":0.0012654195,"about_ca_system_score_gemma":0.0014156988,"threshold_uncertainty_score":0.03624654},"labels":[],"label_agreement":null},{"id":"W6911074905","doi":"10.5281/zenodo.10064982","title":"Mineralogical_Characterization v1.0.0","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Python (programming language); Petrophysics; Software; Mineral resource classification; Data file; Source code","score_opus":0.042996739701894326,"score_gpt":0.2330378217715864,"score_spread":0.19004108206969209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6911074905","genre_codex":"software","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005061589,0.00031156852,0.08870923,0.00018519124,0.00017326738,0.0003549118,0.21987991,0.67657804,0.008746301],"genre_scores_gemma":[0.033102736,0.00050938944,0.23189811,0.00061114377,0.00009233,0.0020808782,0.5648916,0.14734995,0.019463936],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99959546,0.00002941185,0.00003672273,0.00012674314,0.00015378189,0.000057870453],"domain_scores_gemma":[0.9995041,0.000098826444,0.00003916533,0.00013971922,0.0001806636,0.000037542857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010053733,0.002355082,0.0014554698,0.002622738,0.00061241275,0.0018849128,0.0029959166,0.00093690166,0.08998122],"category_scores_gemma":[0.0019253386,0.0014202448,0.0025919382,0.0016233224,0.00035733462,0.0019221287,0.0020052781,0.0021226208,0.10343822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037201695,0.00023418665,0.007307018,0.0018955674,0.00033149714,0.0002266434,0.00017601567,0.011272956,0.011087331,0.0024633168,0.8279799,0.13665366],"study_design_scores_gemma":[0.00028640463,0.00016018379,0.0150590325,0.0003005131,0.00014181106,0.0005194,0.00015283648,0.15207678,0.05044329,0.011845234,0.76877415,0.00024043751],"about_ca_topic_score_codex":0.0036900435,"about_ca_topic_score_gemma":0.0047877408,"teacher_disagreement_score":0.08998122,"about_ca_system_score_codex":0.0006889996,"about_ca_system_score_gemma":0.0014346096,"threshold_uncertainty_score":0.30101722},"labels":[],"label_agreement":null},{"id":"W6923138747","doi":"10.13272/j.issn.1671-251x.2023100090","title":"Research on coal gangue detection in coal preparation plant based on YOLOv5s-FSW model","year":2024,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Gangue; Coal preparation plant; Coal; Feature (linguistics); Block model; Feature extraction; Extraction (chemistry); Coal mining","score_opus":0.3334708839619548,"score_gpt":0.5673340055834465,"score_spread":0.2338631216214917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6923138747","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11065294,0.0009295003,0.8776987,0.00040377385,0.00013103362,0.00008126353,0.00017098874,0.0024471795,0.007484671],"genre_scores_gemma":[0.9097699,0.0005991433,0.08050699,0.00017445961,0.00003817803,0.000098273544,0.00039825236,0.00012169397,0.008293231],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976,0.000021793809,0.000010811646,0.000068232075,0.000099166464,0.000040041283],"domain_scores_gemma":[0.9998073,0.000038635353,0.000020574536,0.000018735042,0.00009832257,0.000016440395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033956376,0.00075374136,0.0006577496,0.00074833736,0.00037585598,0.0007619591,0.0015033452,0.0007115263,0.0016124179],"category_scores_gemma":[0.0006598727,0.00035479793,0.00089181087,0.00045743692,0.00033975756,0.001404952,0.0006462165,0.00060874916,0.0006213765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029940557,0.0001423515,0.010419805,0.0002878268,0.00012029937,0.00029340657,0.00020291182,0.57098496,0.03918139,0.007486782,0.0038517797,0.36672914],"study_design_scores_gemma":[0.0000045711204,0.000027282664,0.000697404,0.000004019495,0.000012333893,0.000031378328,0.000015817062,0.99512464,0.0028585922,0.0004560537,0.00076012145,0.000007872145],"about_ca_topic_score_codex":0.024120519,"about_ca_topic_score_gemma":0.0129654845,"teacher_disagreement_score":0.024120519,"about_ca_system_score_codex":0.00081584323,"about_ca_system_score_gemma":0.0010696932,"threshold_uncertainty_score":0.04796022},"labels":[],"label_agreement":null},{"id":"W6926511166","doi":"10.25316/ir-9683","title":"Nanaimo Free Press [Thursday, December 15, 1898]","year":2019,"lang":"en","type":"other","venue":"VIUSpace (Vancouver Island University Library)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"","score_opus":0.006361192267391014,"score_gpt":0.170943589739733,"score_spread":0.164582397472342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926511166","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00074207905,0.007592196,0.00012385247,0.0016841163,0.002625944,0.000030137997,0.0024680593,0.00012232203,0.98461145],"genre_scores_gemma":[0.0010382691,0.0010466595,0.0000409228,0.00010195592,0.0000697142,0.00000753736,0.00019936202,0.000043824733,0.9974517],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997384,0.00001621571,0.00001063637,0.000045221015,0.00012659997,0.000063036285],"domain_scores_gemma":[0.9998572,0.000017246308,0.000008257769,0.0000102058275,0.00007593276,0.00003123701],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022536457,0.0008890773,0.000509231,0.0017186186,0.004204164,0.0046055065,0.00070587837,0.0014696249,0.3215702],"category_scores_gemma":[0.00085004146,0.0004874464,0.00028570773,0.0025559256,0.0006085119,0.0016798531,0.0012707162,0.002330873,0.114016995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003347832,0.000010636075,0.00020694718,0.000099838726,0.000003270359,0.00011547272,0.00019308612,0.000060021463,0.0001216841,0.011920698,0.9461209,0.04111393],"study_design_scores_gemma":[0.000001538458,0.000001855694,0.00035445025,0.000043795902,6.240511e-7,0.00001574148,0.000050607905,0.000009677331,0.0000295137,0.00026923258,0.9992207,0.0000021843514],"about_ca_topic_score_codex":0.17816803,"about_ca_topic_score_gemma":0.62536186,"teacher_disagreement_score":0.82183194,"about_ca_system_score_codex":0.003723008,"about_ca_system_score_gemma":0.0025919962,"threshold_uncertainty_score":0.9676978},"labels":[],"label_agreement":null},{"id":"W6930331539","doi":"10.5281/zenodo.12110970","title":"Iso 10156 pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Flammable liquid; Oxidizing agent; Cover (algebra); Flammability; Cylinder; International standard","score_opus":0.021693559580927876,"score_gpt":0.2262476186043359,"score_spread":0.204554059023408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930331539","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003762283,0.0015610842,0.00761449,0.0007644088,0.0029600083,0.00055795885,0.008726705,0.0055540507,0.97188514],"genre_scores_gemma":[0.002637806,0.0023546277,0.005018037,0.0007208339,0.0004958818,0.0003274682,0.012211384,0.0032008812,0.97303313],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944701,0.0003056075,0.0003607195,0.00037834264,0.0041440856,0.00034118025],"domain_scores_gemma":[0.99077094,0.00043260315,0.00024294996,0.0009150587,0.007206952,0.0004315767],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0032956286,0.0025822585,0.0015295409,0.0069989585,0.001985883,0.010479143,0.0050962195,0.004011419,0.64404917],"category_scores_gemma":[0.009813968,0.0014253177,0.0016382617,0.005263241,0.0014510521,0.007512558,0.0034911693,0.0028355832,0.7069555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090877555,0.00007682697,0.00008812818,0.0006770991,0.0000071290924,0.00010006069,0.00006755282,0.00036123057,0.0022324815,0.008235174,0.8300405,0.15802278],"study_design_scores_gemma":[0.000007665919,0.000019720563,0.0001264724,0.00011006761,0.0000036624597,0.000059168386,0.000028889517,0.000057413574,0.0007594886,0.0007481814,0.9980702,0.000009014054],"about_ca_topic_score_codex":0.007936815,"about_ca_topic_score_gemma":0.0069926353,"teacher_disagreement_score":0.35595083,"about_ca_system_score_codex":0.002897475,"about_ca_system_score_gemma":0.0048825066,"threshold_uncertainty_score":0.50772065},"labels":[],"label_agreement":null},{"id":"W6950382687","doi":"10.5281/zenodo.7671729","title":"Antibody Characterization Report for hVPS35 (Vacuolar protein sorting-associated protein 35)","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Antibody; Immunofluorescence; Cell culture; Protein A; Characterization (materials science); Preprint; Direct fluorescent antibody; Antibody response","score_opus":0.0291173525392255,"score_gpt":0.2546974677917702,"score_spread":0.2255801152525447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6950382687","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11790508,0.015159286,0.72930014,0.002091523,0.002807886,0.006152037,0.08080707,0.0078066722,0.037970312],"genre_scores_gemma":[0.10855994,0.015027291,0.408686,0.001352918,0.0006764532,0.005703925,0.38285607,0.003266977,0.073870406],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99852234,0.00015977139,0.00020805512,0.00040349254,0.0004882788,0.00021811934],"domain_scores_gemma":[0.9980805,0.00030863506,0.00014249606,0.00041636443,0.00083097286,0.00022098633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016249206,0.0021058857,0.0011442819,0.0027958415,0.0013046135,0.0010151414,0.0015639933,0.0011109574,0.031294197],"category_scores_gemma":[0.0020852378,0.0012656227,0.0012030774,0.001521305,0.00039535936,0.00089442177,0.0007994602,0.0024503516,0.038059797],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013331538,0.0000931734,0.00023417738,0.0003918017,0.000047380956,0.00014974008,0.00010011483,0.00012109599,0.9758095,0.00075128785,0.010725446,0.011442963],"study_design_scores_gemma":[0.00010535402,0.0004312824,0.004069068,0.0001557642,0.00018860244,0.0022615031,0.00010193641,0.0014201176,0.54995406,0.00061724964,0.44060898,0.000086020336],"about_ca_topic_score_codex":0.0015541131,"about_ca_topic_score_gemma":0.002435933,"teacher_disagreement_score":0.031294197,"about_ca_system_score_codex":0.0006681472,"about_ca_system_score_gemma":0.0012079312,"threshold_uncertainty_score":0.10468954},"labels":[],"label_agreement":null},{"id":"W6958597692","doi":"10.6084/m9.figshare.26595164.v1","title":"Additional file 7 of Rescuing biologically relevant consensus regions across replicated samples","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"","keywords":"Ensembl; Table (database); Closeness; Phylogenetic tree; Homology (biology); Mega-","score_opus":0.05710408143465772,"score_gpt":0.27662033761128196,"score_spread":0.21951625617662424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958597692","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008473656,0.000014938901,0.00016584237,0.000017009472,0.000015635855,0.000017553863,0.9991467,0.00027772284,0.00025988676],"genre_scores_gemma":[0.00079393084,0.000020879404,0.0011139506,0.000076574026,0.000010383417,0.00019763727,0.9965237,0.0002512363,0.0010117426],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99851793,0.00019658108,0.00018527625,0.00054671936,0.00033082624,0.00022259649],"domain_scores_gemma":[0.9927584,0.0040727956,0.00041801544,0.0015397703,0.00090292963,0.00030800313],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0026439365,0.0020087135,0.0020697294,0.0024154373,0.0016192918,0.0028423406,0.0030899886,0.0024150237,0.5378453],"category_scores_gemma":[0.013902438,0.0009101051,0.001437361,0.0032238476,0.0005143059,0.0015058058,0.0014879431,0.0018071273,0.19348007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002072162,0.00007209112,0.0020901994,0.0017808477,0.00008882407,0.00006467187,0.00004271249,0.0005881591,0.0006713146,0.0006275741,0.9888784,0.004888046],"study_design_scores_gemma":[0.0021278493,0.00012918284,0.0149961235,0.0008049825,0.00021472086,0.0003725058,0.00015543836,0.0017264531,0.00225106,0.0065365587,0.97057086,0.000114300106],"about_ca_topic_score_codex":0.00839198,"about_ca_topic_score_gemma":0.02259456,"teacher_disagreement_score":0.4621547,"about_ca_system_score_codex":0.0013796989,"about_ca_system_score_gemma":0.002541388,"threshold_uncertainty_score":0.6592076},"labels":[],"label_agreement":null},{"id":"W6976825815","doi":"10.60692/tsk7s-2wf60","title":"Contribution of Urine and Dung Patches from Grazing Sheep to Methane and Carbon Dioxide Fluxes in an Inner Mongolian Desert Grassland","year":2011,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Grassland; Carbon dioxide; Grazing; Methane; Pasture; Urine; Feces","score_opus":0.023046731087780957,"score_gpt":0.19349329884105979,"score_spread":0.17044656775327882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976825815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9999237,0.000024327821,0.000012343915,0.0000012921165,1.8628413e-7,4.2247663e-7,0.000012943014,3.7856694e-7,0.000024312372],"genre_scores_gemma":[0.99969554,0.00003697554,0.000082454775,0.000005374896,7.5652844e-7,0.0000019074307,0.00008728749,6.1506734e-7,0.00008918872],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998957,0.000025125997,0.0000078563835,0.000028903245,0.000016402679,0.000025932186],"domain_scores_gemma":[0.99982196,0.000028373217,0.000064024665,0.000007699672,0.000027545251,0.000050498355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018330364,0.0002042047,0.000244363,0.000359043,0.00029419884,0.0003761146,0.00014332545,0.00016649648,0.00024399074],"category_scores_gemma":[0.00018198481,0.00013371473,0.00015867721,0.00028842766,0.00024214947,0.00013245623,0.00025082804,0.0000709823,0.000026777197],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040734222,0.00004790137,0.940242,0.000059013993,0.00012234958,0.000276168,0.00071214547,0.0002929304,0.050724808,0.000019232868,0.000037908714,0.0070581282],"study_design_scores_gemma":[0.0000013252136,0.000040825817,0.9989845,0.0000013647843,0.000010395389,0.000043971762,0.00019531928,0.00017973574,0.00048811597,0.000003334902,0.000049744354,0.0000012792688],"about_ca_topic_score_codex":0.01499636,"about_ca_topic_score_gemma":0.046709318,"teacher_disagreement_score":0.01499636,"about_ca_system_score_codex":0.00047319417,"about_ca_system_score_gemma":0.00022681315,"threshold_uncertainty_score":0.029818118},"labels":[],"label_agreement":null},{"id":"W6977368559","doi":"10.6084/m9.figshare.13152991","title":"Additional file 1 of Revisiting the hypothesis of syndromic frailty: a cross-sectional study of the structural validity of the frailty phenotype","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Centre Hospitalier de l’Université de Montréal; McGill University; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Montréal; Montreal General Hospital; Jewish General Hospital","funders":"","keywords":"Statistical analysis; Phenotype; Statistical hypothesis testing; Structural variation; Measure (data warehouse)","score_opus":0.10315926684357955,"score_gpt":0.26577007656559004,"score_spread":0.16261080972201047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977368559","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00061370316,0.0000265152,0.0005268522,0.00019139214,0.00003478052,0.00019414842,0.9973902,0.000103380946,0.0009191086],"genre_scores_gemma":[0.03991706,0.00030786268,0.00998471,0.0013890698,0.00028560185,0.009994528,0.9190702,0.0010165448,0.018034505],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99849665,0.0005022204,0.00028906096,0.00029981547,0.00025809303,0.00015424509],"domain_scores_gemma":[0.90211403,0.08480005,0.003574075,0.0036594404,0.0049081845,0.00094425154],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0039744927,0.0011870424,0.0012695713,0.0022020233,0.0013109759,0.0016661412,0.0025120631,0.0014358645,0.85130155],"category_scores_gemma":[0.097054034,0.0007366819,0.0012231463,0.0034984215,0.0004037632,0.002139125,0.0012743039,0.0014837133,0.08395731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005134076,0.00016115925,0.007578174,0.002622566,0.00011036339,0.00012748028,0.00017460136,0.00041072548,0.000055124867,0.0017364769,0.97744966,0.009060303],"study_design_scores_gemma":[0.021008367,0.0013375953,0.16308056,0.01247602,0.0012858222,0.002359409,0.0026148786,0.0059023323,0.0013203082,0.041430745,0.74666864,0.0005153998],"about_ca_topic_score_codex":0.01343934,"about_ca_topic_score_gemma":0.016086353,"teacher_disagreement_score":0.85130155,"about_ca_system_score_codex":0.0010748452,"about_ca_system_score_gemma":0.0025693388,"threshold_uncertainty_score":0.21210021},"labels":[],"label_agreement":null},{"id":"W6978033492","doi":"10.6084/m9.figshare.c.6621475","title":"Obese-associated gut microbes and derived phenolic metabolite as mediators of excessive motivation for food reward","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Gut flora; Metabolite; Metabolomics; Dopaminergic; Fecal bacteriotherapy; Obesity; Microbiome; Food intake; Dopamine","score_opus":0.020759767330712435,"score_gpt":0.23434353330620383,"score_spread":0.2135837659754914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6978033492","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14719427,0.013640274,0.08707571,0.010510473,0.006790874,0.0017273761,0.4737437,0.033553906,0.22576348],"genre_scores_gemma":[0.31735682,0.018173166,0.12422564,0.0027657214,0.0008213816,0.001680013,0.200464,0.00483617,0.32967713],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998969,0.0000071284426,0.0000024959647,0.000017644512,0.000046207137,0.000029589886],"domain_scores_gemma":[0.99987125,0.000024966637,0.00001612232,0.000010310905,0.000027555729,0.00004980565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017312236,0.00093238056,0.00051535777,0.00094879343,0.00053260435,0.0005993873,0.0006317879,0.00093965064,0.19448052],"category_scores_gemma":[0.00025046433,0.00026093496,0.0006996101,0.0005512893,0.00022287105,0.0006405651,0.0005401336,0.0011286825,0.02849495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024966463,0.0005088582,0.002084273,0.0023012403,0.00005843473,0.0017182911,0.00009615184,0.0010891281,0.5575584,0.0038681943,0.3132699,0.11495041],"study_design_scores_gemma":[0.00041463537,0.0008849322,0.023074778,0.00048339923,0.00009425738,0.0017215825,0.00023981389,0.011750259,0.4357231,0.004015863,0.521452,0.00014534923],"about_ca_topic_score_codex":0.0029914293,"about_ca_topic_score_gemma":0.004635065,"teacher_disagreement_score":0.19448052,"about_ca_system_score_codex":0.00040293552,"about_ca_system_score_gemma":0.00045633723,"threshold_uncertainty_score":0.65060216},"labels":[],"label_agreement":null},{"id":"W6980511580","doi":"","title":"Children with problematic sexual behaviour in long term foster care : a review of attachment difficulties within care giving relationships and placement instability","year":2006,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foster care; Foster parents; Term (time); Public policy; Sexual behavior; Poison control","score_opus":0.013232611411817476,"score_gpt":0.2383969584703811,"score_spread":0.2251643470585636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980511580","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019226259,0.97817254,0.00008347034,0.000811049,0.000144411,0.000027389277,0.000082886436,0.0000035961637,0.0014484174],"genre_scores_gemma":[0.02726195,0.9718888,0.00021476691,0.00015498775,0.000085912456,0.000044128265,0.00009045194,0.0000014378314,0.0002575743],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993174,0.0002574933,0.00014475739,0.00006868868,0.0001577749,0.00005392156],"domain_scores_gemma":[0.9976319,0.001438334,0.00047449683,0.000031004078,0.00030080852,0.00012342249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015424766,0.00054095074,0.0013950943,0.0035008346,0.00070016674,0.0013842738,0.0005989359,0.0009739506,0.0017480935],"category_scores_gemma":[0.004081705,0.0003092781,0.0005503871,0.00513491,0.00079664344,0.0012727955,0.00081429374,0.00089786877,0.00022526058],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021212007,0.00027806894,0.109596826,0.019824788,0.00036531087,0.0026729149,0.006898951,0.00015211047,0.00027599683,0.00079330814,0.009876595,0.849053],"study_design_scores_gemma":[0.00006495879,0.0008259189,0.7420311,0.074699745,0.001286846,0.02689625,0.03036909,0.00012187487,0.00030671738,0.0009902435,0.12228264,0.00012478887],"about_ca_topic_score_codex":0.0073786452,"about_ca_topic_score_gemma":0.018455578,"teacher_disagreement_score":0.0073786452,"about_ca_system_score_codex":0.0009631013,"about_ca_system_score_gemma":0.001957219,"threshold_uncertainty_score":0.014671385},"labels":[],"label_agreement":null},{"id":"W6980823646","doi":"","title":"DAIKI AXIS CO., LTD. (4245, TSE)FINANCIAL RESULTS SUMMARY FOR THE FIRST QUARTER OF THE FISCAL YEAR ENDING DECEMBER 31, 2022","year":2022,"lang":"en","type":"other","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Fiscal year","score_opus":0.009622781302954493,"score_gpt":0.22427451129669018,"score_spread":0.2146517299937357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980823646","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024829688,0.0011319951,0.001824664,0.003389978,0.0030451522,0.0003287789,0.041885346,0.0025407325,0.9433704],"genre_scores_gemma":[0.0043343036,0.00074715045,0.0006802014,0.00031594315,0.00013227969,0.00007787395,0.015930943,0.00050307956,0.9772783],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992418,0.000040970837,0.000035782698,0.000096594864,0.00047655604,0.000108256354],"domain_scores_gemma":[0.998548,0.0000512797,0.00007072234,0.00008504651,0.0009610265,0.00028393668],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011176681,0.0011359996,0.0004986338,0.0014823123,0.0015282822,0.0035304555,0.00072255783,0.0011487845,0.50330096],"category_scores_gemma":[0.0017803643,0.00044721738,0.0003303051,0.0013150859,0.0003558894,0.0015482611,0.0009833177,0.0014062398,0.43862563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014651423,0.000033052318,0.00020659098,0.000109347864,0.0000032224075,0.000033944918,0.000010692066,0.00012597248,0.00074028806,0.0017625701,0.96274245,0.03408543],"study_design_scores_gemma":[0.00002640449,0.000052213378,0.0010162834,0.000041611147,0.0000033832962,0.000033730303,0.000044329234,0.0002504178,0.0007152653,0.0004148212,0.9973947,0.000006930034],"about_ca_topic_score_codex":0.018589104,"about_ca_topic_score_gemma":0.039001387,"teacher_disagreement_score":0.50330096,"about_ca_system_score_codex":0.0015471869,"about_ca_system_score_gemma":0.005778709,"threshold_uncertainty_score":0.7084809},"labels":[],"label_agreement":null},{"id":"W6991222104","doi":"","title":"Foreuses à béquille : mise au point d’un banc d’essai pour caractériser les valeurs d'émission vibratoire","year":2007,"lang":"fr","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Motion study; Phase (matter); Independent state","score_opus":0.017981823355464686,"score_gpt":0.24195757811797836,"score_spread":0.22397575476251366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991222104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63006943,0.003047117,0.33729616,0.0005296648,0.0005451288,0.00040265662,0.0006205874,0.0029185473,0.024570681],"genre_scores_gemma":[0.83963174,0.0008989683,0.11039634,0.00026728437,0.000041306106,0.000173252,0.0008246577,0.00031054523,0.047455873],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991283,0.000056473946,0.000027098666,0.00022874697,0.00046579767,0.00009355332],"domain_scores_gemma":[0.9987908,0.00019866752,0.0000997359,0.000117498676,0.00070612313,0.000087097294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082835107,0.0009132935,0.00063671684,0.0006839572,0.0005612521,0.0012856623,0.0011332002,0.0012376262,0.0057186955],"category_scores_gemma":[0.0014071655,0.00048615693,0.00058860594,0.0003666182,0.00060579507,0.0013431599,0.00083327206,0.00084607216,0.0018810368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006944791,0.00014984299,0.007482624,0.000684644,0.00005898041,0.00033549604,0.0007714382,0.008646334,0.81352866,0.001379628,0.0017165949,0.16455132],"study_design_scores_gemma":[0.00010267591,0.0029715598,0.0647744,0.00029762863,0.00016732114,0.0009979247,0.001268579,0.09815428,0.7495172,0.0011164795,0.080364496,0.0002673769],"about_ca_topic_score_codex":0.017328303,"about_ca_topic_score_gemma":0.033168644,"teacher_disagreement_score":0.017328303,"about_ca_system_score_codex":0.0007235859,"about_ca_system_score_gemma":0.0010632369,"threshold_uncertainty_score":0.034454882},"labels":[],"label_agreement":null},{"id":"W6997488471","doi":"","title":"What have we learned? Lessons from Wrongful Convictions in Canada","year":2017,"lang":"en","type":"other","venue":"UNSWorks (University of New South Wales, Sydney, Australia)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Agency (philosophy); Perspective (graphical); Legislation; Work (physics); Action (physics); Blame; Liability; Focus (optics)","score_opus":0.06598328743680104,"score_gpt":0.25280965185537907,"score_spread":0.18682636441857803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6997488471","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12018746,0.0058663795,0.0009282876,0.6872282,0.002567308,0.0001480125,0.00067969307,0.000089595196,0.18230505],"genre_scores_gemma":[0.82878155,0.006833793,0.00091016013,0.08514477,0.00038864565,0.000093605464,0.0003388654,0.00024287307,0.0772657],"study_design_codex":"not_applicable","study_design_gemma":"qualitative","domain_scores_codex":[0.9802372,0.002650803,0.00051532,0.0012717255,0.0064136283,0.0089113265],"domain_scores_gemma":[0.9156101,0.017304555,0.00245865,0.001871918,0.035125103,0.027629659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015786503,0.00046037676,0.0009230113,0.0025194965,0.049288724,0.02259869,0.0056895907,0.009191948,0.017604819],"category_scores_gemma":[0.072166145,0.0007619359,0.0007594849,0.005102681,0.018718237,0.0066310605,0.008464179,0.02413383,0.0011902143],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001347283,0.00022675596,0.0291305,0.00027954316,0.000100291865,0.0022948424,0.16147135,0.00090769277,0.00016825483,0.17720449,0.51892394,0.1091576],"study_design_scores_gemma":[0.000070860275,0.000052709533,0.035259344,0.001722138,0.000085423046,0.00037527006,0.39104146,0.00089576986,0.0003510859,0.035366695,0.5344971,0.0002821299],"about_ca_topic_score_codex":0.9951563,"about_ca_topic_score_gemma":0.9975795,"teacher_disagreement_score":0.18635908,"about_ca_system_score_codex":0.18635908,"about_ca_system_score_gemma":0.4764863,"threshold_uncertainty_score":0.9437081},"labels":[],"label_agreement":null},{"id":"W6999025505","doi":"","title":"Black Stone Minerals, L.P. Reports Second Quarter 2017 Results and Declares Increased Cash Distribution on Common and Subordinated Units Raises Full Year 2017 Production Guidance","year":2017,"lang":"en","type":"other","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cash; Production (economics); Quarter (Canadian coin); Distribution (mathematics); Black box; Operating cash flow","score_opus":0.019445764334124108,"score_gpt":0.24922790498304298,"score_spread":0.2297821406489189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999025505","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00368361,0.00027641054,0.0005821565,0.008156534,0.0021551051,0.00019997648,0.0035311396,0.0011613105,0.9802537],"genre_scores_gemma":[0.0039699157,0.00013022458,0.00018415294,0.0007881699,0.00009618106,0.000022132846,0.0008231703,0.00018363226,0.9938023],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977665,0.00007878729,0.000037852813,0.00010668229,0.0016376026,0.00037260025],"domain_scores_gemma":[0.99622214,0.00042077602,0.00010191418,0.00017520694,0.00245194,0.0006280735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015781973,0.0005485344,0.000335932,0.0014259164,0.0031589349,0.0040073595,0.0010255743,0.0031461287,0.29250118],"category_scores_gemma":[0.004015313,0.00042721033,0.00043419382,0.0006502334,0.0006942178,0.0010725162,0.001254613,0.0028737097,0.13177821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068704336,0.000087405395,0.0005572176,0.000040244166,0.0000025933543,0.00012297287,0.000045074725,0.00007158197,0.0009604805,0.0055277273,0.97568524,0.01683064],"study_design_scores_gemma":[0.000012892168,0.000037327325,0.0011658745,0.000021556352,0.0000021640853,0.0000342807,0.00011088606,0.0001413527,0.0008390923,0.00041938454,0.9972084,0.0000068569507],"about_ca_topic_score_codex":0.059802912,"about_ca_topic_score_gemma":0.19009946,"teacher_disagreement_score":0.29250118,"about_ca_system_score_codex":0.0027095606,"about_ca_system_score_gemma":0.011098092,"threshold_uncertainty_score":0.97851396},"labels":[],"label_agreement":null},{"id":"W7001446525","doi":"","title":"Investigating the use of the steel wheel abrasion test for ore characterization","year":2009,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Breakage; Abrasion (mechanical); Grinding; Surface grinding; Characterization (materials science); Population; Comminution; Range (aeronautics)","score_opus":0.03148155741433696,"score_gpt":0.233084959098298,"score_spread":0.20160340168396101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001446525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801224,0.00047818004,0.015387316,0.00006823848,0.000043122684,0.00012847685,0.00023999476,0.0001555126,0.0033767424],"genre_scores_gemma":[0.97090113,0.00055212143,0.024840858,0.000045246434,0.0000073418573,0.00004297034,0.00034292394,0.000040472478,0.0032270628],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986992,0.00014446091,0.00008847147,0.00021990003,0.00077208003,0.000075934426],"domain_scores_gemma":[0.99858713,0.0004988082,0.00027001937,0.00009455396,0.0005163938,0.000033146483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008105151,0.00061345025,0.00034753096,0.00088561414,0.00027413145,0.00065794983,0.0009425234,0.00079643016,0.0009894675],"category_scores_gemma":[0.0020286264,0.0002267016,0.00051046564,0.0008885565,0.00033645445,0.00057166896,0.0002984338,0.0003327711,0.00060188957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027694413,0.0003052158,0.02343863,0.00027698535,0.000046075336,0.00029205056,0.00031368044,0.0011411691,0.9244402,0.00018254579,0.00024313515,0.049043342],"study_design_scores_gemma":[0.0000084611975,0.0021787656,0.03644007,0.000025341882,0.0000578428,0.0006024761,0.00041180328,0.0046125785,0.9531113,0.0000791864,0.0024430065,0.00002921075],"about_ca_topic_score_codex":0.0013237699,"about_ca_topic_score_gemma":0.0040817033,"teacher_disagreement_score":0.0013237699,"about_ca_system_score_codex":0.0002483667,"about_ca_system_score_gemma":0.00036498476,"threshold_uncertainty_score":0.004286468},"labels":[],"label_agreement":null},{"id":"W7010199891","doi":"","title":"Grain crushing: discrepancies between laboratory and field conditions","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gradation; Granular material; Hammer; Sieve analysis; Field (mathematics); Sieve (category theory)","score_opus":0.013332736340025316,"score_gpt":0.24212764563516845,"score_spread":0.22879490929514312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010199891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918561,0.00026631905,0.005873456,0.000023090575,0.000021341406,0.000033137287,0.00035800954,0.00017022247,0.0013983276],"genre_scores_gemma":[0.99770653,0.00008752228,0.0014034007,0.000015048927,0.000005714609,0.000016871849,0.00045087165,0.000035741177,0.00027822348],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989158,0.000112180925,0.00012364099,0.000358133,0.0004085251,0.00008169786],"domain_scores_gemma":[0.99609864,0.0015622847,0.0006504384,0.0006323612,0.000928995,0.00012729157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009806402,0.00031377198,0.00036760885,0.0005785178,0.00057165994,0.0004903091,0.00042183115,0.000442536,0.0010785948],"category_scores_gemma":[0.003393581,0.0002488863,0.00019144062,0.00053422037,0.00070663856,0.00038682323,0.00035712213,0.0004016282,0.00036876695],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016723657,0.00036825502,0.07480122,0.0004017174,0.00008370533,0.00052852713,0.001919574,0.0024192247,0.8920812,0.00016737943,0.00040323794,0.025153654],"study_design_scores_gemma":[0.00005475787,0.002281218,0.38832188,0.000041958898,0.000096329335,0.0011502629,0.0014214332,0.004952295,0.59835935,0.00032294996,0.002939272,0.000058264166],"about_ca_topic_score_codex":0.0021485975,"about_ca_topic_score_gemma":0.0051461617,"teacher_disagreement_score":0.0021485975,"about_ca_system_score_codex":0.00032737886,"about_ca_system_score_gemma":0.00018946361,"threshold_uncertainty_score":0.0051862},"labels":[],"label_agreement":null},{"id":"W7011711911","doi":"","title":"Numerical study of dam break flow using shallow water equations with particle method approach","year":2024,"lang":"en","type":"dissertation","venue":"oURspace (University of Regina)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Regina","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Liquation; Triacetin; Emperipolesis; Demotion","score_opus":0.02095342865344837,"score_gpt":0.24369896270420005,"score_spread":0.22274553405075168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011711911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79553187,0.0012505276,0.16805156,0.0013441317,0.00045940393,0.00023652181,0.00080869475,0.0004671452,0.031850196],"genre_scores_gemma":[0.975182,0.00036105272,0.017706407,0.00006486305,0.00006653752,0.00010613924,0.0002198933,0.000070959315,0.006222155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998472,0.000052335075,0.000008665948,0.000021905988,0.000033317127,0.000036436883],"domain_scores_gemma":[0.9991671,0.00051126373,0.000077651355,0.00003211475,0.00013319982,0.00007868419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044051325,0.0005592414,0.0010427431,0.0005957658,0.00064128987,0.0011107281,0.0009898371,0.0016254699,0.0025996147],"category_scores_gemma":[0.0015209566,0.00042187158,0.00081925344,0.0005157312,0.00087684946,0.0006958986,0.00094167347,0.0012043931,0.00024306015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009551814,0.00010440014,0.0027977708,0.000070538,0.000042634514,0.00023890822,0.000073819494,0.9836713,0.001922271,0.005688021,0.000596749,0.004698159],"study_design_scores_gemma":[0.000011036402,0.000020240284,0.0003584277,0.000002996881,0.0000035711305,0.0000055994337,0.000015684755,0.99900013,0.00012548994,0.0003102862,0.00014195268,0.0000045910183],"about_ca_topic_score_codex":0.034598693,"about_ca_topic_score_gemma":0.013078366,"teacher_disagreement_score":0.034598693,"about_ca_system_score_codex":0.0008073028,"about_ca_system_score_gemma":0.0014108805,"threshold_uncertainty_score":0.06879467},"labels":[],"label_agreement":null},{"id":"W7012876454","doi":"","title":"Title and Contents","year":2007,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"St. Lawrence University; University of Nebraska-Lincoln; North Dakota State University; Yale University","keywords":"Centennial; Injustice; Immigration; Militarization; Headline; Spring (device)","score_opus":0.007994651235787202,"score_gpt":0.16884878992029476,"score_spread":0.16085413868450754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7012876454","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018489876,0.0042947754,0.00014821257,0.0046093445,0.010266621,0.000106821026,0.0014725776,0.00035386396,0.9785629],"genre_scores_gemma":[0.0006403865,0.0034100392,0.000109372595,0.0014029992,0.001638693,0.00004820711,0.0006763072,0.00016225614,0.9919117],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99960774,0.00003635361,0.00001635719,0.000060825936,0.0002296508,0.00004910769],"domain_scores_gemma":[0.99921,0.00007620263,0.00003285098,0.00007077503,0.00040544834,0.00020465063],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00037136066,0.0007243424,0.00081125303,0.0019178414,0.002085997,0.005624256,0.0009365086,0.001494653,0.73632807],"category_scores_gemma":[0.0017778381,0.0004594515,0.00034720544,0.0028339282,0.0005089425,0.0026215084,0.0015928524,0.0019715512,0.6581933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035945607,0.0000146949915,0.00005038704,0.00005318761,5.8849116e-7,0.000008457984,0.00002455078,0.0000063499497,0.00006202217,0.001260718,0.9734929,0.025022509],"study_design_scores_gemma":[0.00000197243,0.0000036018025,0.00032338736,0.00009280617,5.849874e-7,0.000010237503,0.000050905066,0.0000047568324,0.000012600681,0.00018228535,0.99931514,0.0000017412694],"about_ca_topic_score_codex":0.0081460485,"about_ca_topic_score_gemma":0.015320685,"teacher_disagreement_score":0.26367193,"about_ca_system_score_codex":0.0014754877,"about_ca_system_score_gemma":0.002228642,"threshold_uncertainty_score":0.376096},"labels":[],"label_agreement":null},{"id":"W7017825344","doi":"","title":"Characterizing the gravity recoverable platinum group minerals","year":2008,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Platinum group; Platinum; Grinding; Specific gravity; Group (periodic table); Characterization (materials science)","score_opus":0.016569167014343418,"score_gpt":0.22087729257939714,"score_spread":0.20430812556505373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7017825344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90945596,0.00013046151,0.08281667,0.000117041665,0.000009505539,0.000066828274,0.000551037,0.00056207605,0.00629035],"genre_scores_gemma":[0.98842317,0.0001325041,0.008041066,0.000011367454,0.0000024628523,0.000022913822,0.0004496904,0.000039978502,0.0028767753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988437,0.00000616657,0.0000029825442,0.00004269245,0.000047840458,0.000015977395],"domain_scores_gemma":[0.99992585,0.000027630735,0.0000142311155,0.000012882515,0.000014927783,0.0000045289985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011717516,0.00038366026,0.00029602286,0.00025239287,0.00014708494,0.0005039414,0.0005680188,0.0004655349,0.001050522],"category_scores_gemma":[0.00047180243,0.00021113937,0.00034079273,0.00024162894,0.00018086506,0.0007636899,0.0002537153,0.000308066,0.00029787523],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006198885,0.000064988366,0.007402271,0.000060982078,0.000017402946,0.00007381084,0.00004854891,0.88289833,0.08241716,0.0012599254,0.00035669774,0.025337879],"study_design_scores_gemma":[0.0000035963458,0.00003972549,0.0028578022,0.0000019124655,0.000005838726,0.000017943992,0.000015736381,0.9718108,0.02432736,0.0004171389,0.0004971954,0.000004864023],"about_ca_topic_score_codex":0.011957531,"about_ca_topic_score_gemma":0.010861012,"teacher_disagreement_score":0.011957531,"about_ca_system_score_codex":0.00075227715,"about_ca_system_score_gemma":0.00074402575,"threshold_uncertainty_score":0.023775876},"labels":[],"label_agreement":null},{"id":"W7023966198","doi":"","title":"Predictive Geometallurgy and Geostatistics Lab - Annual Report 2021","year":2021,"lang":"en","type":"other","venue":"QSpace (Queen's University Library)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geostatistics; Annual report; Work (physics); Quality (philosophy); Data collection","score_opus":0.003993758531646963,"score_gpt":0.1695962712813589,"score_spread":0.16560251274971194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7023966198","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074180127,0.0043784925,0.25762743,0.01960244,0.005704733,0.001791291,0.39341947,0.053780362,0.25627774],"genre_scores_gemma":[0.037847087,0.004126978,0.23149173,0.0012657314,0.0015375955,0.0015481977,0.40127683,0.017613735,0.30329207],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9900939,0.0012806223,0.0002482744,0.00055630907,0.007328644,0.000492284],"domain_scores_gemma":[0.9564146,0.007920278,0.00096546544,0.004502938,0.027021699,0.0031751087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015631825,0.0016680944,0.0016442484,0.0032031925,0.0015153851,0.0061203996,0.0025102024,0.0016931817,0.08167615],"category_scores_gemma":[0.03018142,0.00128125,0.0010974904,0.0034856114,0.0012001273,0.002388969,0.0028756573,0.0023120355,0.081275426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088226654,0.00005324334,0.0018254602,0.00013605527,0.00003085661,0.00003466332,0.000052380252,0.00812772,0.00052187504,0.0063535487,0.9052379,0.07753803],"study_design_scores_gemma":[0.000083363164,0.00006264805,0.0047810217,0.00014062754,0.000026386113,0.00005410755,0.00009290587,0.041196868,0.003247077,0.0073567075,0.9428745,0.00008380133],"about_ca_topic_score_codex":0.2242901,"about_ca_topic_score_gemma":0.19257312,"teacher_disagreement_score":0.2242901,"about_ca_system_score_codex":0.0062061604,"about_ca_system_score_gemma":0.028118657,"threshold_uncertainty_score":0.44596916},"labels":[],"label_agreement":null},{"id":"W7027096031","doi":"","title":"Bulter, Robert oral history interview","year":2013,"lang":"en","type":"other","venue":"Summit (Simon Fraser University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oral history; Biologist; Population; Work (physics)","score_opus":0.017025568669465967,"score_gpt":0.19114543106500764,"score_spread":0.17411986239554167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7027096031","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024446808,0.0046392377,0.00018806157,0.14438955,0.012411739,0.0002705407,0.0027142325,0.00011709738,0.8328249],"genre_scores_gemma":[0.006305042,0.0017881244,0.00008440829,0.027330285,0.0011802551,0.00015540615,0.0003591253,0.000055364857,0.96274203],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923646,0.00014352641,0.000022945727,0.00008557229,0.00023380057,0.0002775937],"domain_scores_gemma":[0.9984577,0.00031323844,0.000059656224,0.000045836514,0.0006067834,0.0005168769],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010881511,0.00044436383,0.0003773538,0.0010798373,0.0092513375,0.0032554702,0.0007724318,0.003061837,0.33062547],"category_scores_gemma":[0.0045471345,0.00030204703,0.00019362239,0.0012207748,0.0010303716,0.0027444803,0.0025833566,0.0040774234,0.07585328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034911113,0.0000069847233,0.00008409993,0.000012853196,1.2752756e-7,0.00006890382,0.0005405902,0.000003927285,0.000015057679,0.0015667847,0.9928001,0.0048969286],"study_design_scores_gemma":[9.937839e-7,0.0000015940162,0.00026457952,0.000029076544,1.3455075e-7,0.000033932934,0.0018658995,0.0000033095725,0.000008408456,0.00015210238,0.9976386,0.0000014717489],"about_ca_topic_score_codex":0.051253647,"about_ca_topic_score_gemma":0.14111927,"teacher_disagreement_score":0.33062547,"about_ca_system_score_codex":0.005196832,"about_ca_system_score_gemma":0.0056856833,"threshold_uncertainty_score":0.95478153},"labels":[],"label_agreement":null},{"id":"W7041081594","doi":"","title":"Course 19 A","year":2022,"lang":"en","type":"article","venue":"Scholarly Commons (Embry–Riddle Aeronautical University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Course (navigation); Grief; Coker unit","score_opus":0.01718657680714723,"score_gpt":0.1953764488484699,"score_spread":0.1781898720413227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7041081594","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003693342,0.00039186014,0.0009238372,0.0016400935,0.0029707619,0.0001799816,0.0019372557,0.0017071946,0.9898797],"genre_scores_gemma":[0.0010066772,0.00028863284,0.00026344333,0.00041726837,0.00028849332,0.00005157958,0.0012291276,0.00033221312,0.99612266],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994191,0.000058135916,0.000023425187,0.00016566357,0.00019844604,0.00013513063],"domain_scores_gemma":[0.99860954,0.000078828074,0.000038919145,0.00014815772,0.00053228164,0.0005922145],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00061691133,0.0014021017,0.0009188162,0.001111924,0.0023831292,0.0065094107,0.0015236005,0.002424053,0.9177995],"category_scores_gemma":[0.002025134,0.0004303989,0.0010837095,0.001097803,0.0005567186,0.003052533,0.0030597476,0.0026151303,0.86846924],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000256374,0.000043024862,0.0000967132,0.000047108326,0.0000015482091,0.000036217956,0.000025658434,0.000032633503,0.00017813662,0.0016714808,0.9715863,0.026255451],"study_design_scores_gemma":[0.000006832627,0.000016753425,0.00033761965,0.000059504,0.0000013135907,0.000042624335,0.00005973114,0.000044910703,0.00006470016,0.00042261224,0.9989396,0.0000037833665],"about_ca_topic_score_codex":0.0040194206,"about_ca_topic_score_gemma":0.008314422,"teacher_disagreement_score":0.9177995,"about_ca_system_score_codex":0.0018585214,"about_ca_system_score_gemma":0.0021247934,"threshold_uncertainty_score":0.11724901},"labels":[],"label_agreement":null},{"id":"W7045163688","doi":"","title":"Are laboratory conditions representative of field conditions? A closer look at grain crushing","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Deformation (meteorology); Grain size; Work (physics)","score_opus":0.022681263908810895,"score_gpt":0.2643030156060104,"score_spread":0.2416217516971995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7045163688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75294936,0.009316894,0.037273396,0.036491565,0.0042721415,0.00091786793,0.006038859,0.0025036284,0.15023622],"genre_scores_gemma":[0.91184634,0.006242097,0.016909454,0.0053668837,0.0010254681,0.000341904,0.0047942116,0.000968081,0.052505538],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9965491,0.00081872044,0.00030530914,0.00049918913,0.0016235163,0.00020416055],"domain_scores_gemma":[0.9749156,0.005164515,0.0024132945,0.0036621199,0.0132979285,0.0005465037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047721076,0.0001676278,0.0006200706,0.0012778036,0.0022837287,0.0022551697,0.001060002,0.0010241263,0.007851178],"category_scores_gemma":[0.013198976,0.00021895218,0.0002275531,0.0016001171,0.0012591118,0.0017744505,0.0005879099,0.00087878184,0.002356227],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014362197,0.00056263665,0.17197457,0.0021232327,0.00014661682,0.0023007418,0.0048221294,0.0014404685,0.2742312,0.0044191834,0.12563303,0.41090998],"study_design_scores_gemma":[0.00004847005,0.0011366899,0.65156764,0.00022428232,0.00006319685,0.001755049,0.010804909,0.0012834574,0.09749117,0.0039000562,0.23154819,0.00017690644],"about_ca_topic_score_codex":0.0078083673,"about_ca_topic_score_gemma":0.021999657,"teacher_disagreement_score":0.007851178,"about_ca_system_score_codex":0.0010628003,"about_ca_system_score_gemma":0.0012101192,"threshold_uncertainty_score":0.026264846},"labels":[],"label_agreement":null},{"id":"W7045321625","doi":"","title":"Aplicação de microtomografia computadorizada em estudos geológicos: a visualização 3D de estruturas rúpteis","year":2013,"lang":"en","type":"article","venue":"Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fault (geology); Artifact (error); Smoothing; Homogeneous; Surface (topology); Anisotropy; Tomography; Data set","score_opus":0.0463090779375906,"score_gpt":0.33113704437241964,"score_spread":0.28482796643482905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7045321625","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08013288,0.0008623982,0.9070933,0.00042148016,0.00006362713,0.00023054169,0.00061556866,0.0053453716,0.005234784],"genre_scores_gemma":[0.18919349,0.00075667194,0.80716455,0.00006665432,0.000026458973,0.0002301148,0.00033593416,0.0005093512,0.0017167199],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995134,0.00008607103,0.000037468664,0.00012384196,0.00020072093,0.00003847184],"domain_scores_gemma":[0.9987363,0.00063734065,0.000087511406,0.00020877356,0.00028101323,0.00004913816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012344392,0.00054730347,0.00038499554,0.0021853643,0.00041244115,0.0020906923,0.00068798295,0.00062684953,0.004077497],"category_scores_gemma":[0.0025167323,0.00055621716,0.00046512616,0.00089954503,0.0005515747,0.00072459126,0.0010559497,0.0005259431,0.0009355716],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001690765,0.000070175935,0.016124053,0.00090959546,0.00008566297,0.00039746115,0.0015854205,0.0102280425,0.3796857,0.0040510623,0.0023920008,0.58430177],"study_design_scores_gemma":[0.000060656257,0.00020214473,0.06489034,0.00042192294,0.0002055506,0.0028821505,0.0020247495,0.42113253,0.40752995,0.007355437,0.09305036,0.00024423734],"about_ca_topic_score_codex":0.0024462172,"about_ca_topic_score_gemma":0.006346892,"teacher_disagreement_score":0.004077497,"about_ca_system_score_codex":0.00039463316,"about_ca_system_score_gemma":0.00080020784,"threshold_uncertainty_score":0.013640583},"labels":[],"label_agreement":null},{"id":"W7066415963","doi":"","title":"Grain crushing: an overlooked factor in road construction and rehabilitation","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Road construction; Rehabilitation; Highway maintenance; Driver rehabilitation","score_opus":0.01145973273363719,"score_gpt":0.23544249062549602,"score_spread":0.22398275789185884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7066415963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.556983,0.016730903,0.0045112194,0.11185462,0.014373685,0.0005891622,0.0011947592,0.0006211993,0.2931415],"genre_scores_gemma":[0.842119,0.008334907,0.0015643704,0.0031125552,0.003387335,0.000051203744,0.00040369155,0.00021118071,0.14081588],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9956981,0.00061634346,0.00036420213,0.00029719615,0.0026935155,0.00033078258],"domain_scores_gemma":[0.9588371,0.006141749,0.004593941,0.0016920241,0.026148435,0.002586751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036652456,0.0002563909,0.00043339943,0.0013904811,0.0025058673,0.0028130943,0.0009382527,0.0017608847,0.027912397],"category_scores_gemma":[0.036524914,0.00022562384,0.00018389255,0.0012849467,0.001295074,0.0015049021,0.00082576927,0.0011812842,0.0053923777],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004375736,0.00033142272,0.2030263,0.001690463,0.000070945556,0.004875175,0.004736556,0.00024984032,0.003449796,0.0035795926,0.19442676,0.5831256],"study_design_scores_gemma":[0.000031288968,0.0005327417,0.51985794,0.0011007662,0.000147493,0.008468513,0.020506011,0.0011112285,0.0048309327,0.0036398843,0.43964908,0.00012416627],"about_ca_topic_score_codex":0.008091008,"about_ca_topic_score_gemma":0.022856254,"teacher_disagreement_score":0.027912397,"about_ca_system_score_codex":0.00095137785,"about_ca_system_score_gemma":0.0049632713,"threshold_uncertainty_score":0.09337628},"labels":[],"label_agreement":null},{"id":"W7066789192","doi":"","title":"Incidencia de un programa de recreación en el estado de ánimo de los Adultos Mayores del centro Villa Hogar la Esperanza en el primer semestre del año 2012","year":2013,"lang":"es","type":"article","venue":"Repositorio Institucional de la Universidad de las Fuerzas Armadas ESPE (Universidad de las Fuerzas Armadas ESPE)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Nova scotia; Independence (probability theory)","score_opus":0.00437604549473312,"score_gpt":0.25034286559339086,"score_spread":0.24596682009865775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7066789192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983822,0.00016266314,0.00013607148,0.000025018438,0.000002930842,0.000014662541,0.00026370195,0.0000043595223,0.0010083002],"genre_scores_gemma":[0.99585223,0.00035499514,0.0005244842,0.000021627991,0.0000047993976,0.000038041875,0.00042400183,0.0000030459294,0.0027766814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995777,0.000070149545,0.000028885788,0.00010828169,0.00012446802,0.00009050018],"domain_scores_gemma":[0.99906987,0.00016389828,0.0003382453,0.000041842934,0.00024198629,0.0001442082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061416574,0.0002046495,0.00023307363,0.0005037068,0.0003329837,0.00046055214,0.00027463556,0.0003082384,0.0015738297],"category_scores_gemma":[0.0009775828,0.00014885806,0.00027646322,0.0005823633,0.00028928163,0.000224463,0.0005005882,0.00025280422,0.00018905541],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002427624,0.00015989311,0.9817446,0.00008594047,0.00004477785,0.00014939536,0.0010350456,0.0000988061,0.0022473736,0.000048329348,0.00019728503,0.013945753],"study_design_scores_gemma":[0.0000013329886,0.00020918803,0.9979067,0.00001684009,0.000015281485,0.00004536529,0.0010212814,0.0000578901,0.00023858443,0.000008948823,0.00047621212,0.0000025212466],"about_ca_topic_score_codex":0.026481401,"about_ca_topic_score_gemma":0.08968817,"teacher_disagreement_score":0.026481401,"about_ca_system_score_codex":0.00066592504,"about_ca_system_score_gemma":0.0007561373,"threshold_uncertainty_score":0.052654505},"labels":[],"label_agreement":null},{"id":"W7066958410","doi":"","title":"Kierunki rozwoju badań nad koncepcją Lean management (Lean Higher Education) w szkołach wyższych","year":2023,"lang":"pl","type":"book-chapter","venue":"Jagiellonian University Repository (Jagiellonian University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business management; NAD+ kinase","score_opus":0.014316617526386332,"score_gpt":0.17638945084076615,"score_spread":0.16207283331437983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7066958410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5496637,0.04924229,0.036936156,0.038405363,0.0037285592,0.0004688421,0.0030831704,0.0015072083,0.31696466],"genre_scores_gemma":[0.88258207,0.02451623,0.013259918,0.0036643245,0.0006141173,0.00044847757,0.0019716178,0.00060359103,0.07233966],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9949968,0.0008255741,0.00036855624,0.00081272906,0.0019817792,0.0010145578],"domain_scores_gemma":[0.9973393,0.0004740558,0.00052463356,0.00022287041,0.00070846477,0.00073061517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003116331,0.00071753695,0.00086071406,0.0040335273,0.003929376,0.014331613,0.0010172137,0.0015961751,0.022044834],"category_scores_gemma":[0.004919774,0.00052652624,0.0007473279,0.005810328,0.0035289042,0.0063467505,0.009091762,0.0032790566,0.004760237],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010255523,0.0005859621,0.07049146,0.0034455722,0.0003704127,0.002908433,0.030601334,0.0020143245,0.0075542214,0.16708225,0.06995407,0.64396644],"study_design_scores_gemma":[0.00005596863,0.00028307232,0.12234637,0.001996926,0.00017546523,0.001633523,0.03602271,0.0010333931,0.0032698282,0.03652268,0.79647297,0.00018706736],"about_ca_topic_score_codex":0.009292942,"about_ca_topic_score_gemma":0.015388134,"teacher_disagreement_score":0.022044834,"about_ca_system_score_codex":0.006104568,"about_ca_system_score_gemma":0.008413705,"threshold_uncertainty_score":0.07374734},"labels":[],"label_agreement":null},{"id":"W7067192818","doi":"","title":"L’étrange histoire de l’Institut Feller (1840-1967)","year":2024,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Term (time); Context (archaeology); Sequence (biology); Identity (music)","score_opus":0.006231628894756919,"score_gpt":0.16007512038994698,"score_spread":0.15384349149519005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067192818","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05174345,0.11642688,0.0049700807,0.026369415,0.006219044,0.00017769368,0.009194035,0.00038676968,0.7845125],"genre_scores_gemma":[0.12859903,0.010856715,0.0032995786,0.0010556823,0.0002901553,0.000053225354,0.0012287186,0.0001820202,0.85443485],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990575,0.000094652365,0.0000308491,0.00011550648,0.00046239045,0.0002391755],"domain_scores_gemma":[0.9993636,0.00006867064,0.000060848794,0.00003936674,0.00039715192,0.00007034244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009281474,0.00042950417,0.00018838316,0.0017835585,0.004071833,0.0020232014,0.0006064247,0.0007675802,0.026122494],"category_scores_gemma":[0.0015538802,0.00023386096,0.00019259937,0.0026079179,0.00225109,0.00085330097,0.0010824807,0.001462417,0.0032995653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019859223,0.000033018878,0.009118913,0.0004035092,0.000020154335,0.0006635017,0.015185883,0.0005669183,0.0036959716,0.20031032,0.48482847,0.2849748],"study_design_scores_gemma":[0.0000016111175,0.0000036895594,0.008261125,0.0000673687,0.0000014963499,0.000047966816,0.0004871387,0.000017092432,0.0003897862,0.0004996205,0.9902164,0.0000067463698],"about_ca_topic_score_codex":0.866193,"about_ca_topic_score_gemma":0.93469375,"teacher_disagreement_score":0.866193,"about_ca_system_score_codex":0.027367376,"about_ca_system_score_gemma":0.017874988,"threshold_uncertainty_score":0.26919},"labels":[],"label_agreement":null},{"id":"W7067198002","doi":"","title":"2018-01-02 Le descripteur radiophonique de L'océanique de Rimouski Michel Germain","year":2018,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Michel foucault; Power (physics); Work (physics); Gloom","score_opus":0.005623020767699566,"score_gpt":0.17806370646038172,"score_spread":0.17244068569268214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067198002","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008614743,0.0019435121,0.0065625166,0.002283629,0.002455773,0.00044964795,0.01708377,0.0049481327,0.9556583],"genre_scores_gemma":[0.008603533,0.0006149949,0.001531605,0.00021041109,0.00020233783,0.00008211083,0.0029902468,0.0009136156,0.98485106],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99960405,0.00003396469,0.000017695418,0.00005707288,0.00022522424,0.00006213113],"domain_scores_gemma":[0.9990675,0.0001215018,0.000050079358,0.0000920628,0.00052052893,0.00014833115],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00071054307,0.00044689947,0.0002790185,0.0014059826,0.00090180367,0.0014183566,0.0005204754,0.00065418176,0.36695564],"category_scores_gemma":[0.0011654911,0.00024855052,0.00022227791,0.001084172,0.00035059298,0.00064734864,0.0009626582,0.0008354038,0.21549481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035692877,0.000034624707,0.0022661788,0.0003808389,0.00000477038,0.0005653037,0.0006836983,0.00020059808,0.017034672,0.0049246512,0.83696014,0.13658753],"study_design_scores_gemma":[0.0000042512206,0.0000109684925,0.0015951934,0.000026297444,8.691355e-7,0.000064871456,0.000076156175,0.000033281976,0.00074486766,0.00003810717,0.99740076,0.0000043816076],"about_ca_topic_score_codex":0.05261294,"about_ca_topic_score_gemma":0.07495552,"teacher_disagreement_score":0.36695564,"about_ca_system_score_codex":0.0017010221,"about_ca_system_score_gemma":0.001713598,"threshold_uncertainty_score":0.90296096},"labels":[],"label_agreement":null},{"id":"W7067208826","doi":"","title":"Leclanché Establishes North American Subsidiary to Capitalize on Fast Growing U.S. and Canadian Energy Storage Market","year":2016,"lang":"en","type":"other","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Production (economics); Energy (signal processing); Productivity","score_opus":0.004072665044830597,"score_gpt":0.18108858704608874,"score_spread":0.17701592200125815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067208826","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012732109,0.00042484078,0.0022163906,0.0046104486,0.00036545168,0.00021682278,0.005516393,0.0014495769,0.9724681],"genre_scores_gemma":[0.045017898,0.0003953451,0.0014616098,0.00092716026,0.00004926368,0.00004677925,0.0029818104,0.00034152291,0.9487786],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99865997,0.000034011013,0.0000152551775,0.000117844946,0.0007887902,0.00038404568],"domain_scores_gemma":[0.99652416,0.000121669145,0.00005701757,0.00016974576,0.0025960072,0.00053135195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000806485,0.00074744545,0.00037180822,0.002377341,0.0054949704,0.003742806,0.0012008242,0.0017162674,0.13653319],"category_scores_gemma":[0.0020784382,0.00039233643,0.00057175994,0.0016812963,0.0010495391,0.001863166,0.0015709889,0.0022121756,0.029179225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017407506,0.00021993108,0.0057121865,0.00009384021,0.000017548578,0.00049001427,0.00019695026,0.00056612666,0.002496638,0.09673017,0.82715994,0.06614258],"study_design_scores_gemma":[0.000024232852,0.000023995592,0.0049123503,0.000046434317,0.000009200086,0.00009587185,0.0002321561,0.0011172309,0.0016656028,0.0014610525,0.9903921,0.000019816718],"about_ca_topic_score_codex":0.80416644,"about_ca_topic_score_gemma":0.9319165,"teacher_disagreement_score":0.19583356,"about_ca_system_score_codex":0.019509299,"about_ca_system_score_gemma":0.05355201,"threshold_uncertainty_score":0.45674902},"labels":[],"label_agreement":null},{"id":"W7067213907","doi":"","title":"La racionalidad en Marshall McLuhan y la Escuela de Toronto : un estudio sobre los medios de comunicación y su influencia en la Grecia clásica","year":2004,"lang":"es","type":"dissertation","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Identity (music); Subject (documents); Population","score_opus":0.01176257499468247,"score_gpt":0.25311195041183854,"score_spread":0.24134937541715606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067213907","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8253939,0.0052744607,0.0007708869,0.049687833,0.00018603126,0.00006224496,0.00059943885,0.000043909342,0.1179813],"genre_scores_gemma":[0.9253968,0.0027769431,0.00036417233,0.0010944682,0.000028065557,0.000022166816,0.00010716888,0.00004555724,0.070164666],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99847573,0.00038846486,0.000036008212,0.00015165447,0.00040017942,0.0005479416],"domain_scores_gemma":[0.9968266,0.0007348024,0.00059744535,0.00011507822,0.0008820951,0.00084390375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014911828,0.00031827283,0.0001833213,0.0012966575,0.016253823,0.005734644,0.0011046139,0.0013175375,0.013426366],"category_scores_gemma":[0.0044893734,0.00034988194,0.000217802,0.0032768396,0.005064497,0.0021971695,0.003819783,0.002070669,0.00065670104],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026262458,0.000064338856,0.08428146,0.0002184572,0.00004611133,0.001461165,0.72579163,0.0004994242,0.0015754035,0.06826525,0.060403455,0.05713071],"study_design_scores_gemma":[0.000012682279,0.000032907283,0.14049104,0.00022381754,0.000035506582,0.00012361933,0.5348032,0.00016212693,0.0007929748,0.0015708471,0.321699,0.000052187464],"about_ca_topic_score_codex":0.9654296,"about_ca_topic_score_gemma":0.98747045,"teacher_disagreement_score":0.9654296,"about_ca_system_score_codex":0.05560566,"about_ca_system_score_gemma":0.043207824,"threshold_uncertainty_score":0.40344924},"labels":[],"label_agreement":null},{"id":"W7067281468","doi":"","title":"Marketing Medicines: Conceptualizing Cultural Identity and Livelihood among Market Vendors in Asunción, Paraguay","year":2012,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Livelihood; Cultural identity; Identity (music); Indigenous; Socioeconomic status; Politics; Order (exchange); Traditional knowledge; Participant observation","score_opus":0.0043740923294111585,"score_gpt":0.16901991095820249,"score_spread":0.16464581862879132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067281468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983441,0.0006440303,0.00043740732,0.0017805732,0.0000076380475,0.000012291269,0.0000069876564,0.0000020945502,0.013668021],"genre_scores_gemma":[0.9990621,0.00030744702,0.00014372381,0.000086376225,0.0000018827853,0.00000463013,0.0000032725875,0.0000010739867,0.00038942543],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99926037,0.00044287322,0.000019915262,0.000056875564,0.00007907573,0.00014083416],"domain_scores_gemma":[0.9993237,0.00028351575,0.00019601214,0.000027269381,0.00006746071,0.0001021729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017027071,0.00028792594,0.00028573905,0.00092448946,0.0065178475,0.0042071813,0.00089420873,0.00082406704,0.0015473239],"category_scores_gemma":[0.001494108,0.00029411694,0.00013765333,0.0012606058,0.010707281,0.0033829086,0.002753305,0.0012088392,0.00008608475],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025023193,0.000045431872,0.017222317,0.00004224938,0.0000062031445,0.00077655166,0.9486117,0.000051044295,0.0008418153,0.025690194,0.00017709621,0.006510438],"study_design_scores_gemma":[0.00000448259,0.000043433232,0.014790314,0.000112767295,0.000009321553,0.00031047864,0.97068936,0.0003501458,0.0001536673,0.0030544412,0.010473581,0.000008129698],"about_ca_topic_score_codex":0.045368638,"about_ca_topic_score_gemma":0.05535662,"teacher_disagreement_score":0.045368638,"about_ca_system_score_codex":0.0046771807,"about_ca_system_score_gemma":0.0028974407,"threshold_uncertainty_score":0.09020913},"labels":[],"label_agreement":null},{"id":"W7067300961","doi":"","title":"Les immigrants franco-européens","year":2013,"lang":"fr","type":"other","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Louisiana State University; Université Laval","keywords":"Immigration; Context (archaeology); Period (music)","score_opus":0.012713090848836308,"score_gpt":0.2100881204362766,"score_spread":0.19737502958744027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067300961","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84038055,0.002898045,0.00018080775,0.004030156,0.0003647533,0.00006952661,0.0030364573,0.00005478696,0.1489849],"genre_scores_gemma":[0.63965523,0.0057488885,0.000401469,0.0035034972,0.00013244423,0.000107312255,0.0025767866,0.000040654453,0.3478337],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996213,0.000042654076,0.000016502692,0.000042302767,0.00006385347,0.00021339185],"domain_scores_gemma":[0.9996439,0.000037860576,0.00007020385,0.000019553127,0.00011440201,0.00011407463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040990746,0.00035583088,0.0001824301,0.0009767946,0.0036125223,0.0018009286,0.00028279796,0.00068269775,0.029338712],"category_scores_gemma":[0.00087819976,0.00012232427,0.00021375586,0.0013509349,0.0005512147,0.000568509,0.0012475544,0.0004217968,0.0043985923],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039684013,0.0003212701,0.44651806,0.0004962082,0.00006416548,0.0060852887,0.08843833,0.00018162151,0.0031416556,0.018916931,0.1541171,0.2813226],"study_design_scores_gemma":[0.000030423469,0.0001305977,0.34716234,0.0004976231,0.00004091377,0.0015752001,0.09874442,0.000099666846,0.00050829875,0.00037899235,0.5507761,0.000055467033],"about_ca_topic_score_codex":0.46332073,"about_ca_topic_score_gemma":0.59610707,"teacher_disagreement_score":0.46332073,"about_ca_system_score_codex":0.0019223822,"about_ca_system_score_gemma":0.002757899,"threshold_uncertainty_score":0.92124784},"labels":[],"label_agreement":null},{"id":"W7067312795","doi":"","title":"Mine drainage from Lynx 8 &amp; 10 levels and its implications to reclamation &amp; closure plans at Myra Falls Operations","year":2009,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Royal Roads University","keywords":"Nucleofection; Exclosure; Limiting; Tubulopathy; Sodium dodecylbenzenesulfonate; Work (physics)","score_opus":0.01934366101426286,"score_gpt":0.20209043104154165,"score_spread":0.1827467700272788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067312795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99777335,0.00011779546,0.000055379478,0.000090604284,0.000002416605,0.000010200139,0.00010952533,0.0000032402545,0.0018375122],"genre_scores_gemma":[0.99737895,0.00022360953,0.00022345326,0.000032381446,0.0000035104415,0.000018642791,0.00020195176,0.0000027711146,0.0019147006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947256,0.000090028334,0.00004690047,0.00009011415,0.00016463434,0.00013576756],"domain_scores_gemma":[0.9986027,0.00021463787,0.00065008784,0.00002458439,0.00028115284,0.0002268057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049332133,0.00009077937,0.00014899297,0.0007531759,0.0011018289,0.0013580001,0.00043452278,0.00024189518,0.0011729432],"category_scores_gemma":[0.001615625,0.00013593027,0.00010040772,0.00077350246,0.0006088113,0.00055902824,0.0009627898,0.00031809052,0.00011918144],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018539745,0.00010987557,0.9307802,0.00010111888,0.000015581008,0.0015629862,0.009886949,0.0007106136,0.0022328862,0.0003473422,0.0011481011,0.052918904],"study_design_scores_gemma":[0.000004600762,0.00012923975,0.98081255,0.00005542943,0.0000059070558,0.00015982878,0.01285894,0.00034170438,0.00052788557,0.0000641697,0.0050323927,0.0000072857447],"about_ca_topic_score_codex":0.15730484,"about_ca_topic_score_gemma":0.405894,"teacher_disagreement_score":0.8426952,"about_ca_system_score_codex":0.0030589437,"about_ca_system_score_gemma":0.002581399,"threshold_uncertainty_score":0.3127784},"labels":[],"label_agreement":null},{"id":"W7067351738","doi":"","title":"L'imaginaire religieux de jeunes Québécois et leurs rapports au catholicisme","year":2015,"lang":"fr","type":"other","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Clientelism; Human trafficking","score_opus":0.036323909712313626,"score_gpt":0.2688695745824565,"score_spread":0.2325456648701429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067351738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8673858,0.0054021706,0.00055879843,0.014342155,0.000114525916,0.000022121885,0.00011173453,0.000008826972,0.11205385],"genre_scores_gemma":[0.98231804,0.0010637837,0.00016290703,0.0005779573,0.000013291411,0.0000065303775,0.000022119179,0.000004239149,0.015831098],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993606,0.0002387241,0.00000913759,0.00005365407,0.00011019268,0.00022759302],"domain_scores_gemma":[0.9987319,0.00033589892,0.00013374476,0.000062991625,0.00031356,0.00042191133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010732505,0.00024120681,0.00018107885,0.000965565,0.009086395,0.0033347209,0.00052900653,0.00071878114,0.005777567],"category_scores_gemma":[0.0014067179,0.0001219332,0.00011601621,0.0010456329,0.009630963,0.0011205908,0.0014294004,0.0016057749,0.0001736168],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054052263,0.000030491365,0.04185976,0.0001140134,0.000018145238,0.00095393317,0.74892724,0.00011550046,0.0011719739,0.17052877,0.0074338634,0.028792212],"study_design_scores_gemma":[0.000009277883,0.00004018274,0.16298956,0.00047100015,0.000016395446,0.00025178818,0.6170754,0.00017967414,0.0002922764,0.0064473446,0.21218818,0.00003896606],"about_ca_topic_score_codex":0.88981235,"about_ca_topic_score_gemma":0.969101,"teacher_disagreement_score":0.11018765,"about_ca_system_score_codex":0.017907254,"about_ca_system_score_gemma":0.013227072,"threshold_uncertainty_score":0.22167307},"labels":[],"label_agreement":null},{"id":"W7067363688","doi":"","title":"Military surgeon selected as co-editor of the Canadian Journal of Surgery","year":2013,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Reputation; Surgeon general; Continuing medical education; Medical journal; Work (physics); Publishing; Military medicine","score_opus":0.05058731939438704,"score_gpt":0.2547871377120174,"score_spread":0.20419981831763034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067363688","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00033222444,0.014103975,0.00024822968,0.06209797,0.91271347,0.00008309065,0.00019492971,0.00015391163,0.0100722285],"genre_scores_gemma":[0.006516683,0.040674217,0.0008252768,0.055274274,0.8235602,0.000093413466,0.0004647236,0.00023508187,0.07235609],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99564135,0.0002454647,0.00039367634,0.00035439435,0.0028960502,0.00046901382],"domain_scores_gemma":[0.9600184,0.001481208,0.0011979057,0.00036431005,0.027740609,0.009197696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002783911,0.0019281335,0.0022566637,0.004917342,0.0030494276,0.006252742,0.0023061892,0.0041073053,0.02696298],"category_scores_gemma":[0.019031225,0.0006763599,0.0011706533,0.002900509,0.0017063869,0.0026567793,0.0013866673,0.006100476,0.018851932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014727319,0.000005870365,0.00014950447,0.00011114574,0.0000074714817,0.00025065648,0.0000165262,0.000022068489,0.000081069964,0.00010666134,0.9931452,0.0060890648],"study_design_scores_gemma":[0.000014146108,0.000016389331,0.001066132,0.00035516912,0.00001642449,0.0014192879,0.00015057788,0.00009048309,0.000114943614,0.00014078365,0.9965803,0.000035437908],"about_ca_topic_score_codex":0.03652937,"about_ca_topic_score_gemma":0.12021414,"teacher_disagreement_score":0.96347064,"about_ca_system_score_codex":0.0075429673,"about_ca_system_score_gemma":0.014774887,"threshold_uncertainty_score":0.090200126},"labels":[],"label_agreement":null},{"id":"W7067380537","doi":"","title":"Malattia nodulare branchiale, patologia emergente negli allevamenti italiani di trota iridea (Oncorhynchus mykiss)","year":2016,"lang":"it","type":"article","venue":"Research Padua  Archive (University of Padua)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cityscape; Simile; Trophy","score_opus":0.045430755113050614,"score_gpt":0.274001650355308,"score_spread":0.22857089524225738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067380537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968131,0.0005543586,0.00012918886,0.00008111965,0.0000072637245,0.000018652288,0.00043114566,0.000017409722,0.0019478569],"genre_scores_gemma":[0.9929213,0.0005338245,0.00025810915,0.00014841482,0.0000072007465,0.000024078652,0.0008811323,0.0000064555697,0.0052194735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982685,0.000015351829,0.000008679336,0.00007229033,0.000035520785,0.000041370724],"domain_scores_gemma":[0.999683,0.000024832438,0.00016637094,0.000020465917,0.00004707127,0.000058279846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020804629,0.0002126139,0.00020063538,0.00047255185,0.00032159686,0.00064293516,0.00016003549,0.0002946429,0.0028000802],"category_scores_gemma":[0.00024397841,0.0001622649,0.00027283322,0.00030280187,0.0004267189,0.00025705717,0.00036691662,0.00042094805,0.0004293462],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038688653,0.00011581067,0.78322136,0.00014154955,0.000123277,0.00075321546,0.0005349896,0.00016601615,0.2011183,0.00017720934,0.00080385007,0.012457489],"study_design_scores_gemma":[0.000004779514,0.00016043817,0.9959545,0.000009169086,0.000025913763,0.00033113704,0.0002727771,0.000063054365,0.0021673772,0.000027567146,0.0009784066,0.000004770588],"about_ca_topic_score_codex":0.019603804,"about_ca_topic_score_gemma":0.06692987,"teacher_disagreement_score":0.019603804,"about_ca_system_score_codex":0.00087663764,"about_ca_system_score_gemma":0.00045988636,"threshold_uncertainty_score":0.03897935},"labels":[],"label_agreement":null},{"id":"W7067390968","doi":"","title":"Mediating Migration, Brokering Belonging:The Moroccan Alliance Israélite Universelle Teachers’ Union, 1943-1964","year":2025,"lang":"en","type":"book-chapter","venue":"University of Groningen research database (University of Groningen / Centre for Information Technology)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Government (linguistics); Alliance; Context (archaeology); Perspective (graphical); Work (physics); Legislation; Field (mathematics); Normative; Agency (philosophy)","score_opus":0.015676158585680375,"score_gpt":0.21871228906632167,"score_spread":0.20303613048064129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067390968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58733374,0.012181523,0.00029641186,0.011890502,0.00028404794,0.000033764936,0.0001179371,0.000014258113,0.38784787],"genre_scores_gemma":[0.97510386,0.0009562134,0.0000680331,0.0002671248,0.000033349494,0.000010012151,0.000013986635,0.000004730984,0.02354262],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99945456,0.00018027583,0.000012439531,0.00004083416,0.00005215412,0.0002597468],"domain_scores_gemma":[0.9995431,0.00019471915,0.00008927425,0.000019644716,0.000049358892,0.00010396754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012240676,0.0002201548,0.0001800699,0.00078878214,0.008440932,0.0031655112,0.00048869115,0.0007840833,0.007337226],"category_scores_gemma":[0.0016060484,0.00014172574,0.00009368191,0.001588697,0.0054993085,0.0022771943,0.0022261315,0.0011904825,0.00044985287],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000119925826,0.00006625814,0.010945431,0.00009771496,0.000007795075,0.00083211804,0.48858774,0.00013750442,0.00028414678,0.4248996,0.016081003,0.05794078],"study_design_scores_gemma":[0.000036488538,0.000062488536,0.092513286,0.00052402756,0.0000157859,0.00039147853,0.31473005,0.00014788305,0.00039061854,0.017517604,0.573647,0.000023254503],"about_ca_topic_score_codex":0.17555173,"about_ca_topic_score_gemma":0.34176755,"teacher_disagreement_score":0.17555173,"about_ca_system_score_codex":0.014030911,"about_ca_system_score_gemma":0.0055633206,"threshold_uncertainty_score":0.34905976},"labels":[],"label_agreement":null},{"id":"W7067433921","doi":"","title":"Les pratiques d'intimité des personnes en situation d'itinérance analysées sous l'angle des conditions sociospatiales des ressources d'hébergement à Montréal","year":2020,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Vulnerability (computing); Cultural environment","score_opus":0.014221376844056707,"score_gpt":0.21082630273609704,"score_spread":0.19660492589204032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067433921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93559974,0.0011023293,0.0039894595,0.003182047,0.00007103372,0.00013099922,0.0003703067,0.000042596315,0.055511422],"genre_scores_gemma":[0.98468274,0.00067513797,0.0010057103,0.00017441328,0.000007674374,0.00007441384,0.00006748071,0.0000196281,0.013292689],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9981622,0.00068583305,0.00004814911,0.0002668068,0.0004137306,0.00042319755],"domain_scores_gemma":[0.9980058,0.000665136,0.0002462244,0.00011333339,0.00056532456,0.00040408282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023475306,0.0005245486,0.0004787404,0.001504051,0.010564033,0.007327494,0.0015200032,0.0009806294,0.010612573],"category_scores_gemma":[0.004246788,0.000468743,0.00053468114,0.0021210236,0.011365631,0.0028689085,0.004765696,0.0021400088,0.00052071427],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055094224,0.000029066638,0.015091176,0.00017162267,0.000022540824,0.00047112166,0.9582991,0.00016843292,0.0017344429,0.0118404105,0.0011377038,0.010979374],"study_design_scores_gemma":[0.000004576697,0.0000327939,0.03809717,0.00014011447,0.00002262724,0.00008521169,0.93401194,0.00018451012,0.00040804283,0.0010599886,0.025891673,0.00006128449],"about_ca_topic_score_codex":0.7891638,"about_ca_topic_score_gemma":0.8666895,"teacher_disagreement_score":0.21083617,"about_ca_system_score_codex":0.022338685,"about_ca_system_score_gemma":0.019635327,"threshold_uncertainty_score":0.42415565},"labels":[],"label_agreement":null},{"id":"W7067437296","doi":"","title":"Methanogenic patterns in the gut microbiome are associated with survival in a population of feral horses","year":2024,"lang":"en","type":"article","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Hyporeflexia; Diafiltration; Hyperlactatemia; Liquation; Proteogenomics","score_opus":0.029246945026333078,"score_gpt":0.25025497869042507,"score_spread":0.221008033664092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067437296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997992,0.00004412875,0.00004527697,0.0000091238235,4.3078148e-7,6.8531017e-7,0.000063771964,7.529481e-7,0.0000366009],"genre_scores_gemma":[0.99971706,0.000023869756,0.00009178118,0.0000075887333,0.0000012592117,0.0000017185912,0.00010023766,8.313932e-7,0.000055609624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980694,0.000039417573,0.0000098256305,0.00007707216,0.000022472268,0.00004429762],"domain_scores_gemma":[0.9995858,0.000060474213,0.00018462414,0.00003795917,0.000058466565,0.00007269942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033339762,0.00014600827,0.00017961975,0.00052190135,0.0003866662,0.00038849382,0.00018133699,0.0003441259,0.00054951065],"category_scores_gemma":[0.000816372,0.00012171748,0.00016467855,0.00038214726,0.0004810732,0.00025630536,0.00042117183,0.0002269542,0.00008257429],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012438031,0.000017198441,0.987061,0.000009628957,0.000061388615,0.000050640854,0.00050095544,0.00008272409,0.009582308,0.000020446261,0.000040261824,0.002449049],"study_design_scores_gemma":[3.4944685e-7,0.000023004566,0.9994856,0.0000013775991,0.0000049931778,0.00004331263,0.00023402307,0.00007254088,0.00009061775,0.000012081284,0.00003060454,0.0000015305233],"about_ca_topic_score_codex":0.011788715,"about_ca_topic_score_gemma":0.030973788,"teacher_disagreement_score":0.011788715,"about_ca_system_score_codex":0.00040824446,"about_ca_system_score_gemma":0.00017709282,"threshold_uncertainty_score":0.023440242},"labels":[],"label_agreement":null},{"id":"W7067439206","doi":"","title":"Le discours sur la migration dans la presse en Europe et au Canada : Analyse comparative de corpus anglophones et francophones","year":2017,"lang":"fr","type":"dissertation","venue":"Archive ouverte UNIGE (University of Geneva)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"French; Immigration; Context (archaeology); National identity","score_opus":0.008836667325142182,"score_gpt":0.21521001933022982,"score_spread":0.20637335200508763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067439206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90913534,0.008035383,0.00080199575,0.0008766633,0.000059564398,0.00014845237,0.005725426,0.000047088502,0.07517004],"genre_scores_gemma":[0.9674693,0.0056735403,0.0012151087,0.0002862487,0.000047342262,0.00033044413,0.0041503063,0.000103238875,0.02072442],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99897707,0.00023021136,0.00008344981,0.00014527584,0.00032576933,0.00023816209],"domain_scores_gemma":[0.9918359,0.0044837967,0.000564899,0.00019455569,0.0026553827,0.0002654657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011467373,0.000525757,0.00057887053,0.006823312,0.0056161764,0.0046754205,0.000577191,0.00051127817,0.009470215],"category_scores_gemma":[0.004370753,0.00029722363,0.00014483696,0.013744118,0.0027752593,0.00091111276,0.0014759451,0.0006159214,0.00075731747],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048741422,0.0001074711,0.10121912,0.0027211916,0.00011392877,0.0019938303,0.7335383,0.00030205026,0.0139098875,0.0150233945,0.018551683,0.112031594],"study_design_scores_gemma":[0.000023847355,0.000039303697,0.5067202,0.0009498325,0.00014208768,0.00066562806,0.2344199,0.00021964523,0.0028091555,0.00043260242,0.2534972,0.00008056124],"about_ca_topic_score_codex":0.90017575,"about_ca_topic_score_gemma":0.95072013,"teacher_disagreement_score":0.09982425,"about_ca_system_score_codex":0.01297758,"about_ca_system_score_gemma":0.017355338,"threshold_uncertainty_score":0.2008242},"labels":[],"label_agreement":null},{"id":"W7067467080","doi":"","title":"2019 03 02 L'impact et les ligues Europennes avec Benoit Lavoie D'espacesoccer.com","year":2019,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Interpretation (philosophy); Order (exchange); Reflection (computer programming)","score_opus":0.006710382503075402,"score_gpt":0.19767863166966856,"score_spread":0.19096824916659316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067467080","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029587126,0.0032032677,0.00037638523,0.002770548,0.0011466043,0.00005722998,0.0077022365,0.0010557928,0.9807293],"genre_scores_gemma":[0.0031986504,0.00050738984,0.00019275611,0.00016775088,0.000060753373,0.000008658549,0.0012967166,0.00020680972,0.9943606],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996934,0.0000136190865,0.000004700898,0.000035912806,0.00018773944,0.00006474856],"domain_scores_gemma":[0.9995752,0.000030766518,0.000021646907,0.000023805493,0.00012256419,0.00022589792],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00036861774,0.00045594788,0.00024980586,0.0009151071,0.0012800692,0.0035192487,0.00046170686,0.0010995818,0.6503848],"category_scores_gemma":[0.000656436,0.0002408219,0.00028082772,0.0013152123,0.0003573542,0.0008237644,0.0012652171,0.0009915815,0.2562863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007605776,0.000043734737,0.0021063325,0.000102920574,0.0000051361985,0.00018418615,0.000119249766,0.00012155759,0.001016073,0.004841094,0.9072842,0.08409943],"study_design_scores_gemma":[0.0000032144483,0.0000070046617,0.0020356183,0.000019029789,7.204054e-7,0.000027211436,0.000043244632,0.000015911724,0.000102336955,0.00010912814,0.99763393,0.0000025196757],"about_ca_topic_score_codex":0.14581332,"about_ca_topic_score_gemma":0.36525154,"teacher_disagreement_score":0.34961522,"about_ca_system_score_codex":0.0024482755,"about_ca_system_score_gemma":0.002411746,"threshold_uncertainty_score":0.49868363},"labels":[],"label_agreement":null},{"id":"W7067476860","doi":"","title":"Mar 5: CPC MP Michael Cooper, Trudeau Insists No Public Inquiry","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Opposition (politics); House of Representatives; Public support; Voting","score_opus":0.01110757740742068,"score_gpt":0.1907654696125305,"score_spread":0.1796578922051098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067476860","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006691056,0.0005890686,0.0003902626,0.018871086,0.008164426,0.00021105798,0.0019915875,0.00142308,0.9676903],"genre_scores_gemma":[0.000885529,0.00009966625,0.00006353693,0.002729176,0.00022518302,0.000030800908,0.00018450605,0.00015912183,0.99562246],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991848,0.000051511077,0.000016846581,0.00010639329,0.00038677105,0.0002537607],"domain_scores_gemma":[0.99869174,0.00008606189,0.00003604607,0.00006902827,0.000628491,0.00048861373],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00084291544,0.0007561968,0.00056353514,0.0006718731,0.006544344,0.0061218557,0.0012349819,0.0049902685,0.65749997],"category_scores_gemma":[0.0034587267,0.0007039395,0.0006218398,0.00058517535,0.0009339303,0.0022907015,0.002302465,0.006136495,0.50897306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011647624,0.000008098801,0.000034745404,0.000009170705,4.7255995e-7,0.000025418924,0.0000146114,0.0000053123213,0.00004208932,0.0004643407,0.9965199,0.0028642158],"study_design_scores_gemma":[0.0000049806827,0.0000070577294,0.0002746364,0.00002374506,8.411862e-7,0.000013940668,0.00008307973,0.000015994017,0.00006109089,0.00014384135,0.9993672,0.0000037208972],"about_ca_topic_score_codex":0.058485344,"about_ca_topic_score_gemma":0.20161809,"teacher_disagreement_score":0.9415147,"about_ca_system_score_codex":0.0034057202,"about_ca_system_score_gemma":0.0047954153,"threshold_uncertainty_score":0.4885347},"labels":[],"label_agreement":null},{"id":"W7067530011","doi":"","title":"Le sorgho et le millet perlé sucrés comme substituts potentiels au maïs fourrager au Canada","year":2019,"lang":"fr","type":"other","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sorghum; Plant production; Zea mays; Production system (computer science)","score_opus":0.01443335368338622,"score_gpt":0.2070807180847524,"score_spread":0.19264736440136618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067530011","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890324,0.0011602226,0.0011154555,0.0001001951,0.000016616099,0.000042891985,0.0008831404,0.00008411068,0.007564884],"genre_scores_gemma":[0.94394064,0.0017109148,0.0058585308,0.000131241,0.000004035466,0.0000562922,0.0020767513,0.0000646253,0.04615705],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99954224,0.000030328187,0.000016407204,0.000107212305,0.00021207398,0.00009174657],"domain_scores_gemma":[0.9994061,0.00004689771,0.000060776907,0.000039673436,0.0003297711,0.00011683013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002592707,0.00043882758,0.00037723852,0.0005500881,0.00087608566,0.0009180496,0.00061000284,0.00021079661,0.0037575124],"category_scores_gemma":[0.00021206867,0.0002366937,0.00042112483,0.0008509455,0.00033579866,0.00030564133,0.00040679215,0.00053348,0.0005193123],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013441149,0.00009027829,0.013105121,0.00025066375,0.000064673615,0.00022013189,0.00038858422,0.00075005216,0.9568649,0.00038742102,0.00040710132,0.026126865],"study_design_scores_gemma":[0.00008248556,0.0029652454,0.4579666,0.00010174063,0.00030100744,0.0002961594,0.0022606454,0.0026544,0.45735607,0.0002547598,0.07564513,0.000115812116],"about_ca_topic_score_codex":0.6332279,"about_ca_topic_score_gemma":0.83513665,"teacher_disagreement_score":0.36677212,"about_ca_system_score_codex":0.0065846983,"about_ca_system_score_gemma":0.0049745743,"threshold_uncertainty_score":0.7378642},"labels":[],"label_agreement":null},{"id":"W7067555306","doi":"","title":"Miroslava Lukić Krstanović and Mirjanа Pavlović, “Ethnic Symbols and Migrations: Serbian Communities in USA and Canada”","year":2020,"lang":"sr","type":"review","venue":"Faculty of Philosophy (University of Belgrade)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Serbian; Government (linguistics); Perspective (graphical); Focus (optics)","score_opus":0.05837325869034949,"score_gpt":0.2527133864043368,"score_spread":0.19434012771398734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067555306","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006064412,0.9919818,0.00015442408,0.0036988845,0.0009607819,0.0000068681206,0.000070789145,0.000008033032,0.002512023],"genre_scores_gemma":[0.010353806,0.98298806,0.00027293112,0.0016937557,0.0005370149,0.00002049245,0.00013964201,0.000009923641,0.003984354],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991008,0.00030938108,0.00006788822,0.00009883803,0.00030539898,0.00011770104],"domain_scores_gemma":[0.9987155,0.0005047289,0.00015745703,0.000024452547,0.0005242075,0.00007361032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014729566,0.00096679066,0.0010257801,0.0036913306,0.0013496482,0.002883375,0.0010924985,0.0014303222,0.0056758844],"category_scores_gemma":[0.002960393,0.00031826828,0.000539913,0.0052273734,0.0015175034,0.0023238566,0.0010784088,0.0018744192,0.0017070911],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000304827,0.00012181557,0.002299176,0.018776167,0.00018928043,0.00045837875,0.0046919296,0.00041720935,0.00083121913,0.046776306,0.38498008,0.5401535],"study_design_scores_gemma":[0.000026433103,0.00006399633,0.008859653,0.00885586,0.00014727363,0.00035171615,0.0026077607,0.00006349964,0.00062741566,0.003313877,0.97504824,0.000034405963],"about_ca_topic_score_codex":0.05515033,"about_ca_topic_score_gemma":0.080259345,"teacher_disagreement_score":0.94484967,"about_ca_system_score_codex":0.0027212366,"about_ca_system_score_gemma":0.0059232363,"threshold_uncertainty_score":0.10965866},"labels":[],"label_agreement":null},{"id":"W7067572611","doi":"","title":"Mise en oeuvre et validation d’une méthodologie estimant la sensibilité des blocs d’entrée/sortie des FPGA à base de SRAM face aux radiations","year":2017,"lang":"fr","type":"other","venue":"Espace École de technologie supérieure (École de technologie supérieure)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"TRIUMF","keywords":"Electronic circuit; Ammeter; Base (topology)","score_opus":0.037433307115736225,"score_gpt":0.3071852556571866,"score_spread":0.26975194854145035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067572611","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08719715,0.001192903,0.9009569,0.00037132157,0.0002101853,0.00012975089,0.00034478985,0.004476698,0.0051203156],"genre_scores_gemma":[0.5035227,0.001159771,0.48187518,0.00024992743,0.000047494676,0.00021509963,0.000614098,0.0004903179,0.0118255],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904627,0.00020052976,0.000053916083,0.00022461308,0.00040272443,0.000071885675],"domain_scores_gemma":[0.9973436,0.0011063257,0.000231562,0.0005357814,0.00073952717,0.000043167285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018701393,0.0009297316,0.00057381537,0.0012168603,0.00059496344,0.0019262248,0.0011135442,0.001697627,0.0050958423],"category_scores_gemma":[0.005167001,0.00058077025,0.0009572944,0.00060820894,0.0005970892,0.0011723409,0.00069042336,0.00084585446,0.0016314348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008303675,0.00017654593,0.016249118,0.00087737537,0.00044282444,0.00042537446,0.000861661,0.20848888,0.2880293,0.011135448,0.003823475,0.46865958],"study_design_scores_gemma":[0.00009407998,0.00051882595,0.011996028,0.00020266349,0.00015385437,0.00071187905,0.00037684749,0.61931556,0.34149134,0.0039964453,0.020955332,0.00018709271],"about_ca_topic_score_codex":0.0065553063,"about_ca_topic_score_gemma":0.0064876145,"teacher_disagreement_score":0.0065553063,"about_ca_system_score_codex":0.0010762099,"about_ca_system_score_gemma":0.0011122406,"threshold_uncertainty_score":0.017047286},"labels":[],"label_agreement":null},{"id":"W7067576520","doi":"","title":"Music and Digital Media: A planetary anthropology","year":2022,"lang":"en","type":"book","venue":"UCL Discovery (University College London)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ethnography; Digital anthropology; Digital media; Field (mathematics); Musicology; New media; Music history","score_opus":0.007778315206557186,"score_gpt":0.15880893049538908,"score_spread":0.15103061528883188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067576520","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.067252986,0.067202166,0.0056821853,0.04907855,0.0010993873,0.0001048419,0.00012059635,0.00009287432,0.80936635],"genre_scores_gemma":[0.8884177,0.03669524,0.0034371377,0.00312029,0.0018396287,0.0001495126,0.00006636841,0.00008476118,0.066189356],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99873894,0.0008447098,0.000030510802,0.00011479352,0.00014564944,0.00012553409],"domain_scores_gemma":[0.999255,0.00046643155,0.00004811213,0.00007860733,0.000037933652,0.0001139045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011381584,0.0003600509,0.00035213682,0.0025392869,0.006395377,0.010743395,0.00085431145,0.0018082295,0.008911932],"category_scores_gemma":[0.0015275715,0.00025355976,0.00017525494,0.002709508,0.026077187,0.009011371,0.0063022585,0.0016094652,0.00048002877],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016058275,0.000036121783,0.0012689352,0.00020675718,0.000005862247,0.00027913883,0.06974453,0.0001225656,0.0002467777,0.87454057,0.01204527,0.04148739],"study_design_scores_gemma":[0.000008382101,0.000035245437,0.0022842386,0.00039857035,0.000005348586,0.00033449728,0.084406935,0.00015772575,0.00009064739,0.104444616,0.8078248,0.000008986955],"about_ca_topic_score_codex":0.0021391984,"about_ca_topic_score_gemma":0.0030221445,"teacher_disagreement_score":0.010743395,"about_ca_system_score_codex":0.002209486,"about_ca_system_score_gemma":0.0015231203,"threshold_uncertainty_score":0.029813409},"labels":[],"label_agreement":null},{"id":"W7067588560","doi":"","title":"Nesscap Energy Inc. Reports Record Second Quarter Results for Ultracapacitor Products - Commodities (COMMODIT) News","year":2014,"lang":"en","type":"other","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Energy (signal processing); Renewable energy; Supercapacitor; Product (mathematics); Measure (data warehouse)","score_opus":0.013393001447797868,"score_gpt":0.2075751500063085,"score_spread":0.19418214855851063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067588560","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019051749,0.0008013734,0.00064302504,0.00391121,0.003637042,0.00011747884,0.017646296,0.0019754716,0.9693629],"genre_scores_gemma":[0.003701273,0.00059426215,0.00024144918,0.00064497313,0.00026722957,0.000027839185,0.008081459,0.0005947503,0.9858468],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990017,0.000028377637,0.000020560545,0.00006130079,0.00077925395,0.00010889491],"domain_scores_gemma":[0.9982218,0.00017743098,0.00006065246,0.00013392324,0.0011610077,0.00024511968],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00071253564,0.00077817944,0.00039011022,0.0021268467,0.0017417779,0.0059964885,0.0008278184,0.0015086771,0.44034255],"category_scores_gemma":[0.0023449499,0.00039944894,0.00059679244,0.0018629701,0.00042906302,0.002866188,0.0010513118,0.0021622344,0.26059243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041555933,0.00003314831,0.00014824807,0.00004181242,0.0000019625318,0.000030167954,0.000010229858,0.000027033406,0.00027518667,0.0010862447,0.9835507,0.01475371],"study_design_scores_gemma":[0.000010136348,0.000020304476,0.000993419,0.000030181882,0.000003515501,0.000035246172,0.000059691265,0.00013363293,0.00084147515,0.00034023565,0.9975247,0.0000075192147],"about_ca_topic_score_codex":0.0150930295,"about_ca_topic_score_gemma":0.0317404,"teacher_disagreement_score":0.44034255,"about_ca_system_score_codex":0.0012634925,"about_ca_system_score_gemma":0.00215778,"threshold_uncertainty_score":0.79828346},"labels":[],"label_agreement":null},{"id":"W7067638573","doi":"","title":"Nivel de participación de la enfermera en la promoción del saneamiento básico en el asentamiento humano Las Lomas de Casa Blanca San Juan de Lurigancho - 2012","year":2022,"lang":"es","type":"dissertation","venue":"renati","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban planning; Quarter (Canadian coin); Work (physics); Residence","score_opus":0.009256470618684818,"score_gpt":0.31737275617806865,"score_spread":0.3081162855593838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067638573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976654,0.001184262,0.0007990918,0.0010275387,0.000039716466,0.000103363374,0.0007714577,0.00003311856,0.01938736],"genre_scores_gemma":[0.9808678,0.000862106,0.0013221032,0.00012435304,0.000015358457,0.00018730998,0.0005744179,0.000012550028,0.016034085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990637,0.00029265336,0.000038510643,0.00020400067,0.00022188244,0.00017934518],"domain_scores_gemma":[0.99836034,0.00034660392,0.00024894142,0.00008883224,0.00064431655,0.00031084463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001957493,0.00030839333,0.000342199,0.0005359884,0.0010800239,0.0012910345,0.0004969619,0.00050069246,0.0058268392],"category_scores_gemma":[0.00276346,0.00019073149,0.00026656402,0.0007587112,0.0005364635,0.00038734465,0.0014912551,0.0004883552,0.00066165364],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019544424,0.00046516184,0.70324653,0.0015190818,0.00020996641,0.00054674037,0.088939264,0.0013149955,0.011031711,0.005237909,0.011324128,0.17421003],"study_design_scores_gemma":[0.000026668285,0.00029571805,0.90035796,0.00041023863,0.00007014161,0.00010147285,0.053058308,0.00039329406,0.0013716959,0.00066704775,0.04321441,0.000033022265],"about_ca_topic_score_codex":0.12368401,"about_ca_topic_score_gemma":0.16985118,"teacher_disagreement_score":0.12368401,"about_ca_system_score_codex":0.0033883757,"about_ca_system_score_gemma":0.0041144835,"threshold_uncertainty_score":0.24592817},"labels":[],"label_agreement":null},{"id":"W7067699249","doi":"","title":"NRG Energy, Inc. Reports First Quarter Results, Concludes GreenCo Process, and Reaffirms 2016 Guidance - Energy (ENERGY01) News","year":2016,"lang":"en","type":"other","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Energy (signal processing); Work (physics); Government (linguistics); Field (mathematics)","score_opus":0.005913870605038217,"score_gpt":0.21437847270272467,"score_spread":0.20846460209768644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067699249","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008987478,0.0008049457,0.00096906186,0.017185142,0.005066408,0.000104429964,0.00617521,0.0016252669,0.9671707],"genre_scores_gemma":[0.0027470647,0.00043240644,0.00031841916,0.0036873373,0.00021156075,0.000028101289,0.0018159413,0.00052703544,0.99023217],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99798906,0.00008943952,0.000039473238,0.00010842472,0.0015115405,0.0002620786],"domain_scores_gemma":[0.99708265,0.00035448457,0.00006870431,0.00018952761,0.0020193232,0.00028524408],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015491955,0.00070062134,0.00037748422,0.0010437096,0.00293545,0.005004043,0.0009845898,0.0049505876,0.2881492],"category_scores_gemma":[0.0046763904,0.0004284755,0.0006726557,0.0009863864,0.00078382855,0.0024561991,0.001385096,0.003917476,0.1806138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034865632,0.000029473229,0.00009707341,0.000041787564,0.0000012469786,0.000042428943,0.000016601412,0.00003222254,0.000267006,0.0030366937,0.9848483,0.011552324],"study_design_scores_gemma":[0.0000053061945,0.000009756468,0.00030597937,0.000028665,0.0000013671042,0.000020515396,0.000044205073,0.000058791524,0.00036183328,0.0005604665,0.99859864,0.000004533714],"about_ca_topic_score_codex":0.05267847,"about_ca_topic_score_gemma":0.16273679,"teacher_disagreement_score":0.71185076,"about_ca_system_score_codex":0.002245328,"about_ca_system_score_gemma":0.0068537705,"threshold_uncertainty_score":0.9639551},"labels":[],"label_agreement":null},{"id":"W7067699911","doi":"","title":"+91-9116799099 love marriage solution in usa","year":2021,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bengali; MAGIC (telescope); Cheating; Kali; Phone","score_opus":0.01350703840729844,"score_gpt":0.2388799679372898,"score_spread":0.22537292952999136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067699911","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010948717,0.00031454198,0.00023919898,0.0032848031,0.0013439042,0.00007260211,0.00089689356,0.001050701,0.9917025],"genre_scores_gemma":[0.0015527174,0.00017823218,0.00015449295,0.0005473668,0.000088548695,0.000016999387,0.00036560633,0.0001374288,0.9969586],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995871,0.000035515288,0.000012769405,0.0000753925,0.00018879006,0.00010053355],"domain_scores_gemma":[0.9984232,0.00006926329,0.000029111989,0.000056487774,0.00045199035,0.000969869],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004143596,0.0007135944,0.00046229476,0.00062538276,0.002765625,0.002981254,0.0006778267,0.0017494347,0.8725373],"category_scores_gemma":[0.0009137427,0.00030804306,0.00032949116,0.0006267178,0.00027729874,0.0015154702,0.0023099773,0.0012809839,0.79831576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026364958,0.00006546752,0.0002211021,0.00003383149,0.0000010941591,0.000060163464,0.00005183922,0.000017242643,0.0004010897,0.0005521123,0.955379,0.043190707],"study_design_scores_gemma":[0.000009437963,0.000032598582,0.00066863943,0.000027454425,0.000001724169,0.00008006395,0.00015638802,0.00004250177,0.00015595848,0.00011550822,0.99870574,0.000003921562],"about_ca_topic_score_codex":0.0038947004,"about_ca_topic_score_gemma":0.018725596,"teacher_disagreement_score":0.12746269,"about_ca_system_score_codex":0.0008474834,"about_ca_system_score_gemma":0.0017462149,"threshold_uncertainty_score":0.18181008},"labels":[],"label_agreement":null},{"id":"W7067773322","doi":"","title":"Molecular characterization of cefoxitin resistant Escherichia coli in beef cattle from four southern Alberta feedlots","year":2006,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Beef cattle; Escherichia coli; Bacteria; Cattle Diseases; Livestock; Enterobacteriaceae","score_opus":0.007237080299831434,"score_gpt":0.171420584920858,"score_spread":0.16418350462102654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067773322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997889,0.00020205331,0.00021281207,0.000031645664,0.0000066413995,0.000016713715,0.0003825802,0.0000062487416,0.001252249],"genre_scores_gemma":[0.9926152,0.00034377037,0.0007836644,0.0000711491,0.000006950527,0.0000106103125,0.0013849449,0.00000926368,0.004774445],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99965703,0.000017780127,0.000014403729,0.000061001938,0.00012837243,0.00012141036],"domain_scores_gemma":[0.9994881,0.000062143474,0.00005162233,0.000012875377,0.00026212455,0.00012316607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027470285,0.00037388297,0.00035572573,0.0015552843,0.0011375915,0.0009716442,0.00045152212,0.0004232555,0.0007648308],"category_scores_gemma":[0.00038200157,0.0002815843,0.00019954772,0.0013705101,0.00046359305,0.00013328447,0.00018281073,0.00035381972,0.0002575117],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014388927,0.00038276342,0.47633773,0.00016537793,0.000074013085,0.0014417347,0.005109756,0.00042715372,0.48931387,0.00017109964,0.00047744284,0.02466013],"study_design_scores_gemma":[0.0000059062045,0.00018367183,0.9815957,0.000014891819,0.000033257165,0.0002712157,0.002111513,0.00017979612,0.01425548,0.0000110472365,0.0013314668,0.000005975871],"about_ca_topic_score_codex":0.48292676,"about_ca_topic_score_gemma":0.56502366,"teacher_disagreement_score":0.5170733,"about_ca_system_score_codex":0.0021898001,"about_ca_system_score_gemma":0.0013975232,"threshold_uncertainty_score":0.9602316},"labels":[],"label_agreement":null},{"id":"W7067775403","doi":"","title":"A Native Archaeology of the Island Hulâqumiânum: Cowichan Perception and Utililization of Wetlands","year":2012,"lang":"en","type":"dissertation","venue":"UPT. Syiah Kuala University Library (Syiah Kuala University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Emic and etic; Subsistence agriculture; Wetland; Context (archaeology); Ethnography; Identity (music); Perception; Cultural identity","score_opus":0.005145154014142413,"score_gpt":0.16119478477174706,"score_spread":0.15604963075760464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067775403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98932403,0.00026907437,0.00010510077,0.0001810457,0.0000052488376,0.0000059781646,0.000016592114,0.0000020474372,0.010090732],"genre_scores_gemma":[0.9959174,0.0002960849,0.00016253631,0.00003944234,0.0000031018687,0.000005601983,0.000013954743,0.0000028599634,0.0035590567],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.999803,0.00008051942,0.0000050418794,0.000027257078,0.000029205536,0.000055014305],"domain_scores_gemma":[0.9998129,0.00006317947,0.000033472064,0.000013010843,0.000027502585,0.000049924292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032158152,0.00011704562,0.00012365465,0.0005845248,0.004512414,0.0014064085,0.00030166053,0.00020318932,0.0025805065],"category_scores_gemma":[0.00050185,0.00014876724,0.000039446346,0.0011036362,0.0024219505,0.0007093107,0.0013689129,0.0004305692,0.00006156976],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038748567,0.000019689982,0.024475308,0.000075400916,0.0000043921423,0.0012293266,0.94581175,0.000055804903,0.0018236351,0.0056001553,0.00075221545,0.020113572],"study_design_scores_gemma":[0.0000011792662,0.00002631577,0.06276545,0.0000767656,0.0000049232763,0.00055215147,0.90545815,0.000112212394,0.00032947512,0.00040293054,0.030259106,0.000011353148],"about_ca_topic_score_codex":0.15191497,"about_ca_topic_score_gemma":0.44958463,"teacher_disagreement_score":0.84808505,"about_ca_system_score_codex":0.0021274094,"about_ca_system_score_gemma":0.0018018942,"threshold_uncertainty_score":0.30206144},"labels":[],"label_agreement":null},{"id":"W7067819647","doi":"","title":"Net als op energie moeten we ook op arbeid besparen","year":2024,"lang":"nl","type":"article","venue":"Research portal (Tilburg University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Energy (signal processing); Control theory (sociology); Work (physics); Component (thermodynamics); Transmission (telecommunications)","score_opus":0.06645128521503998,"score_gpt":0.31703635589993734,"score_spread":0.2505850706848973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067819647","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013250181,0.0024253249,0.0069480827,0.0055725495,0.0017101959,0.00008333402,0.017099293,0.008565777,0.9443452],"genre_scores_gemma":[0.023940088,0.0017392269,0.0040408475,0.00050006306,0.00017059752,0.000049581984,0.009187975,0.0021037585,0.95826787],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995789,0.00004026871,0.000021112932,0.00009141368,0.00019285068,0.0000754903],"domain_scores_gemma":[0.9994723,0.00015428984,0.0000462408,0.00006376662,0.00010759853,0.00015582713],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005079168,0.0006788727,0.00055294356,0.001455038,0.0007597748,0.0060281255,0.00063922827,0.0014816208,0.4201295],"category_scores_gemma":[0.0011259516,0.0005475437,0.0003086516,0.001500667,0.00037270362,0.0027868939,0.0019095733,0.0010206009,0.2051032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071095227,0.0004179652,0.0019381694,0.00078265555,0.000040453262,0.00036719622,0.00055483903,0.00087313785,0.010892141,0.042130783,0.5718629,0.3694288],"study_design_scores_gemma":[0.000029047254,0.000019772571,0.00066124555,0.00006444114,0.000007813967,0.0000775621,0.00013628289,0.00036590517,0.0018838631,0.0025854835,0.9941598,0.000008719074],"about_ca_topic_score_codex":0.0057763485,"about_ca_topic_score_gemma":0.007469939,"teacher_disagreement_score":0.4201295,"about_ca_system_score_codex":0.0010494876,"about_ca_system_score_gemma":0.001427156,"threshold_uncertainty_score":0.8271149},"labels":[],"label_agreement":null},{"id":"W7067829973","doi":"","title":"Minnesota Crookston Women's Golf Adds North Dakota Prep Kozojed to Signing Class","year":2020,"lang":"en","type":"other","venue":"University of Minnesota Digital Conservancy (University of Minnesota)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athletic Edge Sports Medicine","funders":"","keywords":"Class (philosophy); World class; Work (physics)","score_opus":0.009259132488423607,"score_gpt":0.16146398537651593,"score_spread":0.15220485288809232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067829973","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005957345,0.00032382848,0.00019505243,0.0054527163,0.00364937,0.0001506484,0.0016398174,0.0004810264,0.98215014],"genre_scores_gemma":[0.0016907947,0.000054217126,0.000052939475,0.0002944979,0.00004100935,0.000013613043,0.00013883025,0.000033710858,0.9976804],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995797,0.000020092566,0.000009522962,0.00006915848,0.0001372499,0.00018419689],"domain_scores_gemma":[0.9989875,0.00002863659,0.000016016771,0.000042872176,0.0002896643,0.00063545874],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00040423957,0.0006803494,0.00034385078,0.0011439709,0.008279076,0.0029885152,0.00060588715,0.0011964274,0.6185041],"category_scores_gemma":[0.0006716826,0.00054077286,0.00038669712,0.0004280856,0.0005354576,0.00086947886,0.002414053,0.0021703062,0.30031428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036373138,0.000058835623,0.00093223056,0.000023770539,9.85925e-7,0.00007767777,0.00015037708,0.000017400685,0.00024472564,0.0013541064,0.9646104,0.032493066],"study_design_scores_gemma":[0.000007404198,0.000019876341,0.0030996397,0.00003053182,0.0000017575933,0.000021560569,0.00048281578,0.000027371734,0.000087549364,0.00009397452,0.99612314,0.0000043929085],"about_ca_topic_score_codex":0.12784848,"about_ca_topic_score_gemma":0.6601662,"teacher_disagreement_score":0.3814959,"about_ca_system_score_codex":0.002274817,"about_ca_system_score_gemma":0.0068778503,"threshold_uncertainty_score":0.54415756},"labels":[],"label_agreement":null},{"id":"W7067843453","doi":"","title":"A MULTI-YEAR STREAM TEMPERATURE ANALYSIS IN THE WOLF CREEK RESEARCH BASIN, YUKON TERRITORY","year":2021,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subarctic climate; Permafrost; Hydrology (agriculture); Climate change; Snowmelt","score_opus":0.021480173281850368,"score_gpt":0.25050213532620064,"score_spread":0.22902196204435027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067843453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99936587,0.0000316886,0.00005527676,0.000013509642,7.783312e-7,0.000003700745,0.00032559416,0.0000034943846,0.00020001091],"genre_scores_gemma":[0.99870634,0.000047579695,0.00014944733,0.000008035777,9.915494e-7,0.000007812018,0.0007654911,0.0000027769893,0.00031157365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982303,0.00002929709,0.00001751177,0.000051599014,0.000027949562,0.00005067614],"domain_scores_gemma":[0.99975234,0.000042547814,0.000040268405,0.00002161765,0.00008629439,0.00005695199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028119664,0.00018187413,0.00034461543,0.0008100114,0.0006989784,0.00063697965,0.00044902705,0.0004957578,0.0004661897],"category_scores_gemma":[0.00042310517,0.00020100128,0.00036148698,0.0016456633,0.00031930738,0.00049371226,0.00047792718,0.00021337872,0.000108316955],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002509835,0.00013102528,0.97600687,0.000042104697,0.00022745202,0.0005893898,0.0012608009,0.005484546,0.0052680923,0.00012426492,0.0005468885,0.010067705],"study_design_scores_gemma":[0.0000027551537,0.000023871662,0.99785656,0.0000027721192,0.000016922731,0.00002617135,0.00056139973,0.0012034,0.00012586472,0.000009910389,0.00016625223,0.0000041033786],"about_ca_topic_score_codex":0.44231126,"about_ca_topic_score_gemma":0.6185007,"teacher_disagreement_score":0.5576887,"about_ca_system_score_codex":0.0021598057,"about_ca_system_score_gemma":0.0016298161,"threshold_uncertainty_score":0.87947345},"labels":[],"label_agreement":null},{"id":"W7067848852","doi":"","title":"The Myth of the Homesteader: Challenging Saskatchewan Settler Narratives, 1880-1910","year":2022,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mythology; HERO; Indigenous; Narrative; White (mutation); Oppression","score_opus":0.004969297280324978,"score_gpt":0.1606432715169367,"score_spread":0.15567397423661172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067848852","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9233493,0.0015162071,0.00027810442,0.0065255365,0.000115922536,0.000038049922,0.00017240565,0.000012735104,0.0679918],"genre_scores_gemma":[0.9646346,0.0013426922,0.000227309,0.0016105722,0.000013353487,0.000040700153,0.000096143456,0.000029895407,0.032004744],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9989072,0.0004309915,0.000030517313,0.00011364593,0.00016216599,0.00035544205],"domain_scores_gemma":[0.9989712,0.00034540822,0.000069467926,0.000040937794,0.00029379202,0.00027928746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016983495,0.0004346848,0.0003962281,0.0011774848,0.029488768,0.007071104,0.0013461546,0.0016046828,0.004415931],"category_scores_gemma":[0.00173499,0.0004251192,0.00019323289,0.0019190501,0.016071387,0.0024407033,0.0042160302,0.0044855755,0.0004070881],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001768741,0.0000111563095,0.0030319882,0.00003369126,0.0000052124174,0.0009859598,0.9801815,0.000033913853,0.0005919012,0.009565496,0.0025857952,0.0029556558],"study_design_scores_gemma":[0.0000028913926,0.000007736898,0.0040661767,0.00011081606,0.0000059742674,0.000143357,0.9427396,0.000028628556,0.00016907424,0.0006107819,0.052097972,0.000017049451],"about_ca_topic_score_codex":0.9131541,"about_ca_topic_score_gemma":0.9818279,"teacher_disagreement_score":0.086845875,"about_ca_system_score_codex":0.051367044,"about_ca_system_score_gemma":0.03175888,"threshold_uncertainty_score":0.37269574},"labels":[],"label_agreement":null},{"id":"W7067900203","doi":"","title":"Nanostructured Architectures as High Temperature Ceramic TBCs and Abradable Surfaces","year":2008,"lang":"en","type":"article","venue":"NPARC","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ceramic; Deformation (meteorology); Composite number; Process (computing); Work (physics)","score_opus":0.0052774058666927625,"score_gpt":0.18586034005619423,"score_spread":0.18058293418950147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067900203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9558626,0.0017213474,0.0035255381,0.00047504177,0.00048644043,0.00006497481,0.00015767534,0.00027256692,0.03743377],"genre_scores_gemma":[0.9619673,0.00066569966,0.0029990145,0.00006664476,0.000035254285,0.000022402812,0.00013695957,0.00008094366,0.034025773],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986756,0.000008218941,0.000004271305,0.000021081361,0.000077006,0.000021851183],"domain_scores_gemma":[0.9999008,0.00001140285,0.0000096275435,0.000013083984,0.00005139773,0.000013606891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011437808,0.000098462006,0.00015562803,0.00018770667,0.0002862222,0.0005758519,0.0002578301,0.00036873814,0.0058580693],"category_scores_gemma":[0.00028992607,0.00015553768,0.00009893946,0.000111448324,0.00017331097,0.00027608234,0.0001606063,0.00029507442,0.0015198006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089274414,0.000011719931,0.00026489154,0.00009744415,0.0000050191125,0.00012422903,0.00012106783,0.00019749602,0.98777467,0.001720122,0.00105061,0.008543427],"study_design_scores_gemma":[0.00001999898,0.00014184426,0.0026908852,0.00001205998,0.000015819955,0.00024308162,0.00018671143,0.0015362418,0.9483487,0.00056522485,0.04622673,0.000012632244],"about_ca_topic_score_codex":0.000384078,"about_ca_topic_score_gemma":0.0014988919,"teacher_disagreement_score":0.0058580693,"about_ca_system_score_codex":0.0002700782,"about_ca_system_score_gemma":0.00017930096,"threshold_uncertainty_score":0.019597173},"labels":[],"label_agreement":null},{"id":"W7067926974","doi":"","title":"Newfoundland English","year":2020,"lang":"en","type":"dissertation","venue":"Communities in ADDI (University of the Basque Country)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Variation (astronomy); Identity (music); Irish; Dialectology; Language contact; Speech community; Varieties of English","score_opus":0.009211502092370129,"score_gpt":0.17753758537676886,"score_spread":0.16832608328439874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067926974","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013203177,0.0034866645,0.00031638416,0.0032820283,0.0009852711,0.000060101807,0.008608313,0.00016964016,0.9698883],"genre_scores_gemma":[0.06749604,0.003936579,0.0005984399,0.0020788417,0.00017848563,0.00007038703,0.0070717772,0.00022189818,0.91834766],"study_design_codex":"not_applicable","study_design_gemma":"qualitative","domain_scores_codex":[0.9988525,0.00008259072,0.000060769897,0.00020058935,0.00022994897,0.00057371875],"domain_scores_gemma":[0.9987833,0.00013196214,0.000087007895,0.00014483754,0.0006464592,0.00020643995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004910504,0.00064653315,0.00040543173,0.0017616659,0.004799112,0.0037656983,0.00097160565,0.00058004115,0.2273612],"category_scores_gemma":[0.0017156074,0.00026993017,0.00027550096,0.0026948277,0.0010952376,0.0021682335,0.0021483165,0.0014078063,0.050493855],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010541076,0.000043845837,0.00675118,0.00054076366,0.000019084773,0.0018678332,0.008285299,0.00009955574,0.001270491,0.056107935,0.7594967,0.1654119],"study_design_scores_gemma":[0.0000031616087,0.0000035676692,0.009561329,0.00011287458,0.000003945146,0.00018434013,0.0014420939,0.00001347822,0.00009748555,0.0002525144,0.98831403,0.000011132271],"about_ca_topic_score_codex":0.7928126,"about_ca_topic_score_gemma":0.89932185,"teacher_disagreement_score":0.2273612,"about_ca_system_score_codex":0.014300956,"about_ca_system_score_gemma":0.00980959,"threshold_uncertainty_score":0.760599},"labels":[],"label_agreement":null},{"id":"W7067956571","doi":"","title":"An Nasc (Volume 13), Spring 2001","year":2019,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spring (device); Irish; Head (geology); SAINT","score_opus":0.005772699247919809,"score_gpt":0.16583304596465803,"score_spread":0.16006034671673822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067956571","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010486009,0.012850698,0.0009155467,0.015902823,0.04429751,0.00024697412,0.005103883,0.0010930147,0.9185409],"genre_scores_gemma":[0.0009146543,0.0025532607,0.00024349817,0.0015380197,0.0017068994,0.000045121313,0.0014473589,0.00015023278,0.9914009],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904186,0.000065909684,0.000047861093,0.00013236678,0.0005939191,0.00011799608],"domain_scores_gemma":[0.9980205,0.00018468608,0.000079718135,0.00014720554,0.0011235323,0.00044431226],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001545919,0.00087448145,0.00067536347,0.0021021604,0.002261183,0.008844199,0.0013345013,0.0026899136,0.44912368],"category_scores_gemma":[0.0034774507,0.0005047192,0.0003826164,0.0029259222,0.00058655627,0.002996549,0.0020524901,0.0020648856,0.360542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017297329,0.0000137157795,0.00008047293,0.00004080488,8.794425e-7,0.000016206419,0.000020600448,0.00002038726,0.00007846257,0.0008458129,0.97974753,0.019117976],"study_design_scores_gemma":[0.0000030303097,0.0000049916594,0.00034779287,0.00006046233,9.2719995e-7,0.000013160956,0.000036618087,0.000016242719,0.000029464094,0.00014966712,0.9993351,0.00000251477],"about_ca_topic_score_codex":0.02071632,"about_ca_topic_score_gemma":0.058763854,"teacher_disagreement_score":0.44912368,"about_ca_system_score_codex":0.0029627162,"about_ca_system_score_gemma":0.004373871,"threshold_uncertainty_score":0.7857582},"labels":[],"label_agreement":null},{"id":"W7067969518","doi":"","title":"New forms of cultural production, the case of the North American comic book industry","year":2000,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Comics; Fashion industry; Context (archaeology); Narrative","score_opus":0.0026512800891917636,"score_gpt":0.14061554118855513,"score_spread":0.13796426109936336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067969518","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045197167,0.0017572732,0.0002851119,0.008940653,0.000072669034,0.000018865378,0.000029868655,0.000017213068,0.94368124],"genre_scores_gemma":[0.56038904,0.0032280725,0.00070982054,0.0031853856,0.00012211339,0.000059745667,0.000060495717,0.00006420413,0.43218106],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99811244,0.0005310966,0.000025216383,0.00015326406,0.00056642387,0.00061166805],"domain_scores_gemma":[0.99770796,0.0009088358,0.00011076084,0.00023618365,0.00047578823,0.00056050066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012375165,0.00039148887,0.00021339764,0.002260998,0.032360513,0.01904022,0.0015103056,0.0036678135,0.024702836],"category_scores_gemma":[0.002772356,0.00043006364,0.00025016506,0.0043041385,0.020971738,0.005223772,0.004757563,0.0039060572,0.0017129056],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004111813,0.000081018195,0.0028943578,0.000074421674,0.000007076902,0.002180702,0.17088124,0.00025997972,0.00033352556,0.68732387,0.08412369,0.051798914],"study_design_scores_gemma":[0.000012654247,0.000012190216,0.006459313,0.00018647473,0.000009456358,0.0005054076,0.15192376,0.0002486184,0.00016226193,0.022577293,0.81788087,0.000021741609],"about_ca_topic_score_codex":0.65180194,"about_ca_topic_score_gemma":0.92131114,"teacher_disagreement_score":0.65180194,"about_ca_system_score_codex":0.030589465,"about_ca_system_score_gemma":0.024766985,"threshold_uncertainty_score":0.70049727},"labels":[],"label_agreement":null},{"id":"W7067991438","doi":"","title":"THE MICROBIOME AND THE REPRODUCTIVE ECOLOGY OF Dermacentor variabilis AND Dermacentor andersoni IN WESTERN CANADA","year":2024,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dermacentor variabilis; Dermacentor; Larva; Sympatry; Fecundity; Dermacentor reticulatus; Parasitiformes; Animal ecology","score_opus":0.0027176215510604463,"score_gpt":0.14782859947078145,"score_spread":0.145110977919721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067991438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99784577,0.00037805294,0.000045041324,0.0000937457,0.0000032790408,0.000014843777,0.00048372083,0.0000026109853,0.001132888],"genre_scores_gemma":[0.99782443,0.0004159013,0.00016578962,0.000071291564,0.0000013170137,0.000006089066,0.00033668877,0.0000016379936,0.0011768803],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977046,0.000008707283,0.0000056857534,0.000040739927,0.00006197339,0.00011240172],"domain_scores_gemma":[0.9996985,0.000013030301,0.000053517142,0.00000508412,0.000117424235,0.00011247759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014678735,0.00025093544,0.00019517141,0.0006143885,0.0018759408,0.0007800886,0.00041197496,0.00020859529,0.0011733471],"category_scores_gemma":[0.00042266824,0.00019809653,0.00015878648,0.00081598776,0.000517614,0.0001735329,0.0004566207,0.00033548666,0.000120205696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013971979,0.000054160857,0.9717165,0.000058194906,0.0000465855,0.00028604653,0.0037633274,0.00009900722,0.011209187,0.00022799811,0.00064178923,0.011757443],"study_design_scores_gemma":[0.0000019827046,0.000026368229,0.9954951,0.000010595193,0.000009743498,0.000061162624,0.0033582596,0.0000855769,0.00024441798,0.000012553087,0.00068842375,0.0000058262485],"about_ca_topic_score_codex":0.97778463,"about_ca_topic_score_gemma":0.99263144,"teacher_disagreement_score":0.022215366,"about_ca_system_score_codex":0.008624007,"about_ca_system_score_gemma":0.009099975,"threshold_uncertainty_score":0.06257182},"labels":[],"label_agreement":null},{"id":"W7068016306","doi":"","title":"Last front baghuz","year":2022,"lang":"ar","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Brother; Islam; State (computer science); Front (military); Supporter","score_opus":0.005198834442323867,"score_gpt":0.17006492178359842,"score_spread":0.16486608734127456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7068016306","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00029440373,0.00043260245,0.0004051806,0.0011717464,0.003051893,0.00012612612,0.0037432183,0.0030192805,0.9877556],"genre_scores_gemma":[0.00076842576,0.00024192667,0.00015358873,0.0004466059,0.00023540964,0.000026962565,0.0013349851,0.0008371386,0.995955],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950707,0.00004788566,0.000025334326,0.00009665746,0.0002355954,0.000087386805],"domain_scores_gemma":[0.99867696,0.00013784881,0.00003964782,0.0001967754,0.00061543094,0.00033337326],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00044011849,0.0011244863,0.0011564161,0.00170585,0.0025805628,0.008985038,0.0015846972,0.0020595198,0.96590614],"category_scores_gemma":[0.0033747966,0.0005621859,0.0009651869,0.0015367761,0.0006046751,0.004391454,0.0031434186,0.0022588626,0.9564305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036272108,0.000030638115,0.00008055104,0.00011130789,0.0000031937982,0.0000511708,0.000053982436,0.000022196558,0.0001461582,0.0014451859,0.9559875,0.042031676],"study_design_scores_gemma":[0.000006564813,0.000008775989,0.000171617,0.000060634135,0.0000015406404,0.000035057525,0.00007147977,0.000018708242,0.000072267125,0.00028124618,0.99926776,0.0000043331715],"about_ca_topic_score_codex":0.0031778808,"about_ca_topic_score_gemma":0.005769665,"teacher_disagreement_score":0.034093857,"about_ca_system_score_codex":0.0010510274,"about_ca_system_score_gemma":0.0010621748,"threshold_uncertainty_score":0.048630655},"labels":[],"label_agreement":null},{"id":"W7068051355","doi":"","title":"Next Generation Space Internet (NGSI)Supporting Spacecraft IP Mobility - CCSDS 733.0-O-1-S","year":2003,"lang":"en","type":"article","venue":"Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Space and Astronautical Science; Nuclear Physics; Canadian Space Agency; Indian Space Research Organisation; U.S. Geological Survey; National Space Organization; National Oceanic and Atmospheric Administration; Korea Aerospace Research Institute; European Organization for the Exploitation of Meteorological Satellites; European Space Agency; Agenzia Spaziale Italiana; Commonwealth Scientific and Industrial Research Organisation; Centre National d’Etudes Spatiales; National Aeronautics and Space Administration","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Triacetin; Liquation; Emperipolesis; Durvalumab","score_opus":0.1302617629347954,"score_gpt":0.3535197917838312,"score_spread":0.22325802884903578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7068051355","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060538255,0.0020014814,0.45969433,0.0039050037,0.0019465423,0.0037620424,0.008012976,0.015469368,0.44466996],"genre_scores_gemma":[0.38860226,0.006055114,0.34466124,0.0026869164,0.0009214434,0.005979738,0.029768737,0.0022970843,0.21902747],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99828655,0.00029689682,0.00021196475,0.00010431515,0.0008203089,0.00028002838],"domain_scores_gemma":[0.9982895,0.00029164483,0.00013954678,0.00041712975,0.0007431313,0.00011889602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021757921,0.00051642215,0.00042661658,0.0017422123,0.0017486213,0.003289721,0.0011020252,0.0019237404,0.014471568],"category_scores_gemma":[0.003134724,0.00033348793,0.00034265424,0.0012579694,0.0010952752,0.0020513018,0.0010997107,0.0012729896,0.0076549496],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055487745,0.00031498534,0.0017043127,0.00074307376,0.000021571122,0.0005601766,0.0006271829,0.0076698544,0.055193957,0.69365287,0.087745376,0.1512118],"study_design_scores_gemma":[0.000095166346,0.00042674196,0.0010911152,0.00039088255,0.000027537018,0.0004313471,0.0002903787,0.010901833,0.03449565,0.018450383,0.9333423,0.000056617508],"about_ca_topic_score_codex":0.00952972,"about_ca_topic_score_gemma":0.010410834,"teacher_disagreement_score":0.014471568,"about_ca_system_score_codex":0.0021211102,"about_ca_system_score_gemma":0.0036771654,"threshold_uncertainty_score":0.048412204},"labels":[],"label_agreement":null},{"id":"W7068083305","doi":"","title":"Noticed in Vancouver's 24 neighbourhoods","year":2019,"lang":"en","type":"other","venue":"Arca (British Columbia Electronic Library Network)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Population; Set (abstract data type); Context (archaeology)","score_opus":0.0027931199026011394,"score_gpt":0.15523944669779763,"score_spread":0.15244632679519649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7068083305","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13056238,0.0022776772,0.0003850123,0.0069684787,0.0021811288,0.00012232825,0.005513732,0.00029957978,0.8516897],"genre_scores_gemma":[0.12391883,0.00058714044,0.0003022147,0.00097452506,0.000115261195,0.000025858038,0.000983143,0.000115149574,0.8729779],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99931467,0.00005709767,0.0000143096795,0.00009639282,0.00026565767,0.00025195777],"domain_scores_gemma":[0.99902785,0.00003525037,0.000047948593,0.000041551728,0.0003879714,0.0004593967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025979677,0.00048594913,0.00030649107,0.0013177006,0.016220523,0.0040719416,0.00074606173,0.001402123,0.07207301],"category_scores_gemma":[0.0010500246,0.0002714456,0.00026294985,0.0029809265,0.0012562572,0.0005967655,0.0026617732,0.0017585409,0.012693094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023094202,0.00007866013,0.03531336,0.00022890387,0.000025738427,0.005749643,0.012915679,0.0002136875,0.0010907736,0.010500537,0.83908993,0.09456211],"study_design_scores_gemma":[0.0000063554144,0.000014267686,0.032780234,0.00008350972,0.000006999909,0.0004702976,0.015975898,0.000062122344,0.00018362008,0.0004206217,0.94997674,0.000019525174],"about_ca_topic_score_codex":0.7649682,"about_ca_topic_score_gemma":0.9652537,"teacher_disagreement_score":0.23503178,"about_ca_system_score_codex":0.0073348125,"about_ca_system_score_gemma":0.008887666,"threshold_uncertainty_score":0.47283185},"labels":[],"label_agreement":null},{"id":"W7068143137","doi":"","title":"Next Generation of knowledge partnerships for global development. Introduction","year":2021,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"General partnership; Nature versus nurture; Reflexivity; International development; Key (lock)","score_opus":0.21620997887098004,"score_gpt":0.31896024904388887,"score_spread":0.10275027017290883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7068143137","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005311852,0.032253858,0.010259678,0.26568285,0.010291173,0.00023715587,0.0005116688,0.00084414287,0.67460763],"genre_scores_gemma":[0.26749256,0.05382434,0.025481945,0.06362644,0.0035055678,0.00041329322,0.0012222828,0.0006586311,0.58377486],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954281,0.0012712625,0.000111686524,0.00033451105,0.0017995182,0.0010549651],"domain_scores_gemma":[0.99372125,0.0013210747,0.00029110868,0.00065058854,0.0011347336,0.0028813002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004697848,0.00039993797,0.0002578451,0.0010603181,0.0067433254,0.01583346,0.0016734765,0.0051674247,0.03954133],"category_scores_gemma":[0.006655952,0.00026402329,0.0003597982,0.0023214775,0.0070987777,0.011095398,0.012494087,0.004385071,0.005596736],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015820886,0.000039545183,0.00070208113,0.00047894026,0.0000059453723,0.0002573189,0.010033662,0.00019479416,0.00033207636,0.47008035,0.37059635,0.14726308],"study_design_scores_gemma":[0.0000010844074,0.000004845218,0.00020281164,0.000200677,8.7179956e-7,0.00007559821,0.002538305,0.000033142143,0.00003813928,0.015946707,0.98095304,0.0000049110686],"about_ca_topic_score_codex":0.0709937,"about_ca_topic_score_gemma":0.18171999,"teacher_disagreement_score":0.0709937,"about_ca_system_score_codex":0.013542815,"about_ca_system_score_gemma":0.037589602,"threshold_uncertainty_score":0.1411609},"labels":[],"label_agreement":null},{"id":"W7068157465","doi":"","title":"12 December 2007","year":2008,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lyrics; Psychic; Event (particle physics); Alias; Politics; Bass (fish)","score_opus":0.006134764884252177,"score_gpt":0.17369927615771485,"score_spread":0.16756451127346267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7068157465","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008640728,0.001065222,0.0002792724,0.002711691,0.010296669,0.000119742086,0.0059890007,0.0006067846,0.97806746],"genre_scores_gemma":[0.0014365254,0.00037312406,0.00009638435,0.00059797376,0.00047149404,0.000025776932,0.0021294595,0.00013486788,0.9947344],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995127,0.000050289327,0.00001985535,0.00006972865,0.00023188487,0.00011558336],"domain_scores_gemma":[0.9991935,0.00004497991,0.000027078268,0.000083605075,0.00040421353,0.00024658913],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006539888,0.0006822967,0.00037977466,0.0011402467,0.0020267237,0.004203006,0.0008716829,0.0020147497,0.60410196],"category_scores_gemma":[0.0017413617,0.00024448326,0.00039075396,0.00091105513,0.0004088727,0.0013894167,0.0020460237,0.0016329747,0.44598687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005721479,0.000020680365,0.00021212875,0.00006937941,0.0000018013402,0.00007728585,0.00005160331,0.000013901193,0.00017763702,0.0013335719,0.97584313,0.022141643],"study_design_scores_gemma":[0.0000032934493,0.000009362545,0.0007185053,0.0000474915,6.179963e-7,0.000020204725,0.00005473228,0.0000082209945,0.000052797503,0.00008799672,0.9989945,0.000002257611],"about_ca_topic_score_codex":0.00945761,"about_ca_topic_score_gemma":0.045771077,"teacher_disagreement_score":0.39589804,"about_ca_system_score_codex":0.0018069398,"about_ca_system_score_gemma":0.001191898,"threshold_uncertainty_score":0.5647005},"labels":[],"label_agreement":null},{"id":"W7068165001","doi":"","title":"MFJ - June 6, 2019","year":2019,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Crop; Agency (philosophy); Canola; Government (linguistics)","score_opus":0.009033606687469877,"score_gpt":0.21938906235209307,"score_spread":0.2103554556646232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7068165001","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004356443,0.0006379057,0.00014141749,0.0030725626,0.0048045525,0.00004871943,0.0053678663,0.0006255368,0.9848658],"genre_scores_gemma":[0.00084407756,0.00020447132,0.00005794973,0.0006805202,0.00026931643,0.000011285643,0.0015625126,0.000112644986,0.9962573],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99970007,0.000017962027,0.000010274258,0.00003793224,0.00016008405,0.0000737496],"domain_scores_gemma":[0.99925584,0.000043575463,0.000024481227,0.000044417164,0.00033303598,0.0002985002],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00047040946,0.00050747546,0.0003012062,0.0010839496,0.0020652304,0.004070665,0.00047891086,0.0016594486,0.8021792],"category_scores_gemma":[0.0019558186,0.00020471626,0.0003238024,0.0007470232,0.0003668544,0.0017590825,0.0015530185,0.0014658176,0.6882329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019073477,0.000011788924,0.00008705305,0.000026993275,8.0109646e-7,0.000022577397,0.000013687486,0.000008676242,0.00008006933,0.0011030727,0.98198766,0.016638499],"study_design_scores_gemma":[0.0000033062918,0.000005335492,0.00034295607,0.00003698363,4.7249756e-7,0.000013699912,0.000026072528,0.000009834523,0.000028928518,0.0001969369,0.9993337,0.0000016655707],"about_ca_topic_score_codex":0.010728075,"about_ca_topic_score_gemma":0.051500652,"teacher_disagreement_score":0.19782078,"about_ca_system_score_codex":0.0012122507,"about_ca_system_score_gemma":0.0013284057,"threshold_uncertainty_score":0.28216726},"labels":[],"label_agreement":null},{"id":"W7068699578","doi":"","title":"BAVET","year":2024,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Library of Parliament","funders":"","keywords":"","score_opus":0.23602809095208818,"score_gpt":0.5450562263835328,"score_spread":0.3090281354314446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7068699578","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027159736,0.004160932,0.010474956,0.0022414937,0.002841086,0.00013221415,0.014205009,0.011524601,0.9517037],"genre_scores_gemma":[0.00896308,0.001421844,0.005043322,0.00074456644,0.00025178137,0.00010013509,0.00785914,0.0028624102,0.97275376],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885666,0.00010852332,0.000043892658,0.00031763306,0.00052203337,0.00015128682],"domain_scores_gemma":[0.99900573,0.00013475654,0.000055111323,0.00021827966,0.0003820132,0.0002040651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008363162,0.0011622771,0.0010510819,0.002958464,0.0020115087,0.0043937378,0.0014946181,0.0015618162,0.5713788],"category_scores_gemma":[0.0022194118,0.0005747358,0.00067987497,0.001909051,0.00071789464,0.0014228554,0.0025602654,0.00207191,0.44692534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032749743,0.00013897424,0.000799493,0.00048970047,0.00003215967,0.00022602451,0.00019180951,0.0003456574,0.0051744925,0.024656666,0.6384186,0.32919896],"study_design_scores_gemma":[0.000014500689,0.00001163422,0.0003320984,0.000049849285,0.000005093562,0.00009242677,0.000033871125,0.00010488519,0.000884563,0.0019030964,0.9965605,0.000007559558],"about_ca_topic_score_codex":0.0037869988,"about_ca_topic_score_gemma":0.007537365,"teacher_disagreement_score":0.5713788,"about_ca_system_score_codex":0.0007671388,"about_ca_system_score_gemma":0.0013096987,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W7068851334","doi":"","title":"Full Issue","year":2024,"lang":"en","type":"article","venue":"Digital Commons - University of South Florida (University of South Florida)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Durvalumab","score_opus":0.012161906968328778,"score_gpt":0.17403272677395945,"score_spread":0.16187081980563067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7068851334","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00029180603,0.00078894437,0.0006977648,0.0033102448,0.008125991,0.00023448748,0.009507224,0.0034614974,0.9735821],"genre_scores_gemma":[0.00083330524,0.0005039716,0.0002998391,0.0014946737,0.0014493293,0.00006854984,0.004257596,0.00074654084,0.9903464],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938977,0.00007112449,0.000037947313,0.00013541871,0.0002839826,0.00008163862],"domain_scores_gemma":[0.9977773,0.00023571805,0.00008679078,0.00037451682,0.00081288884,0.00071282446],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006553237,0.0009426653,0.0009693109,0.001707444,0.001310338,0.006077678,0.0016135006,0.002386937,0.9506306],"category_scores_gemma":[0.0041348436,0.00042709976,0.0006468244,0.0014570978,0.00041381366,0.003636804,0.0030397652,0.0017931618,0.93345416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016975737,0.000028489285,0.00008384654,0.00009933065,0.000002262309,0.000024229603,0.000012725824,0.000010297915,0.000090901616,0.0005749643,0.9536627,0.04539322],"study_design_scores_gemma":[0.000008195305,0.0000066943458,0.0002265436,0.00004630266,0.0000010276065,0.000022670538,0.000020258385,0.000014977752,0.000035555488,0.000268842,0.9993463,0.0000025486336],"about_ca_topic_score_codex":0.001193143,"about_ca_topic_score_gemma":0.0020442428,"teacher_disagreement_score":0.049369395,"about_ca_system_score_codex":0.00059098605,"about_ca_system_score_gemma":0.0012038512,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W7068918994","doi":"","title":"","year":2021,"lang":"en","type":"other","venue":"Directory of Open access Books (OAPEN Foundation)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Universitetet i Bergen; Royal Anthropological Institute; Firebird Foundation for Anthropological Research; International Development Research Centre; University of Minnesota; University of Hawai'i; Wenner-Gren Foundation; National Science Foundation","keywords":"Livelihood; Ethnography; Construct (python library); Meaning (existential); Riparian zone; Politics; Sense of place; Cultural ecology","score_opus":0.08448181453858977,"score_gpt":0.38703632172414776,"score_spread":0.302554507185558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7068918994","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009566926,0.03870012,0.0018328263,0.013888305,0.0014099871,0.000035258905,0.00033632718,0.000121047655,0.9341092],"genre_scores_gemma":[0.078553826,0.072439834,0.0042121555,0.005252205,0.0010695555,0.00011771559,0.00037519174,0.00018608719,0.83779347],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99973625,0.00012792698,0.000013477362,0.000037838156,0.000059831473,0.000024721214],"domain_scores_gemma":[0.9993862,0.00041317107,0.00003696674,0.00006715693,0.00004454926,0.00005194204],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006400729,0.00048111996,0.00024733873,0.0012520863,0.0032157518,0.0031167294,0.00025819935,0.0007703067,0.05056428],"category_scores_gemma":[0.0011026757,0.00017653123,0.00010128879,0.0025748953,0.0052183503,0.0027902618,0.002291195,0.0012289445,0.008317516],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022195325,0.00004742283,0.0038461245,0.0007332785,0.000009254594,0.00030977555,0.052226044,0.00010634114,0.0008250257,0.121544704,0.3119422,0.5083877],"study_design_scores_gemma":[4.9465797e-7,0.000004004825,0.0016573851,0.00017738405,0.0000010845959,0.00009260591,0.0066189654,0.000009417935,0.00007062818,0.0030586,0.9883067,0.0000026068817],"about_ca_topic_score_codex":0.004479413,"about_ca_topic_score_gemma":0.019040436,"teacher_disagreement_score":0.9494357,"about_ca_system_score_codex":0.00067992,"about_ca_system_score_gemma":0.0006275761,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W7068960313","doi":"","title":"","year":2022,"lang":"en","type":"other","venue":"Directory of Open access Books (OAPEN Foundation)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sociotechnical system; Causation; Safety engineering; System safety; Hazard; Hazard analysis; Accident (philosophy); Reliability (semiconductor)","score_opus":0.06713934806714085,"score_gpt":0.3711303405066727,"score_spread":0.30399099243953187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7068960313","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016304475,0.008625058,0.080808625,0.040623415,0.007951962,0.0001544228,0.0003510528,0.0006461383,0.85920894],"genre_scores_gemma":[0.051141985,0.008489512,0.05991035,0.021865537,0.0031886655,0.00034313468,0.0005816683,0.0004851437,0.853994],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976554,0.00063965516,0.000112733906,0.00053464615,0.0008640815,0.00019354941],"domain_scores_gemma":[0.99906594,0.00023240075,0.00006211734,0.00020855248,0.00029712464,0.00013385816],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016882891,0.00080078305,0.00044352654,0.0014086973,0.0031910765,0.0068735685,0.001581881,0.0033790667,0.050939646],"category_scores_gemma":[0.0030528826,0.00039124186,0.000898601,0.0011159033,0.0062555685,0.00815058,0.0040031136,0.00499662,0.0212003],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000109637895,0.000016749253,0.00013602088,0.00007893432,0.000007712121,0.00007318815,0.00075484073,0.0002281056,0.00023690876,0.8454877,0.11814846,0.034820355],"study_design_scores_gemma":[0.0000041954618,0.000010868302,0.00009496191,0.0000700749,0.000003466219,0.00014319853,0.00022801934,0.00029659542,0.00018864838,0.13383305,0.86511827,0.000008589651],"about_ca_topic_score_codex":0.003705837,"about_ca_topic_score_gemma":0.004922863,"teacher_disagreement_score":0.9490604,"about_ca_system_score_codex":0.0034330627,"about_ca_system_score_gemma":0.0035996367,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W7068975142","doi":"","title":"Aurégan Xavier","year":2017,"lang":"fr","type":"other","venue":"OpenEdition (OpenEdition)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Theme (computing); Context (archaeology)","score_opus":0.016929876900444903,"score_gpt":0.24327881131707726,"score_spread":0.22634893441663237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7068975142","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034569674,0.025324045,0.0056276405,0.06480625,0.01888244,0.00007862984,0.0022543515,0.0016370529,0.87793267],"genre_scores_gemma":[0.013794987,0.009031215,0.0021939615,0.0029562328,0.00095374224,0.00004484406,0.00066524086,0.000595586,0.9697641],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998667,0.00022153667,0.000041660332,0.00036431153,0.0005665429,0.00013888115],"domain_scores_gemma":[0.9977276,0.0004935302,0.00011299987,0.00015747131,0.0010762947,0.00043215606],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001251129,0.0008423485,0.00043801364,0.0018091497,0.0031442272,0.005479893,0.0007965834,0.0014571076,0.24687935],"category_scores_gemma":[0.005687889,0.00030052234,0.0002965067,0.000856868,0.000935053,0.002784912,0.002314199,0.0020352742,0.1043436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003773981,0.0000207135,0.00054503605,0.00011309613,0.000004110877,0.000117046635,0.0004205956,0.00016444034,0.00020197072,0.03828223,0.85722226,0.10287075],"study_design_scores_gemma":[0.0000013872124,0.0000032418052,0.00018525533,0.00007637076,0.000001257943,0.00006472928,0.000160068,0.000045567635,0.00011072244,0.0012603219,0.99808717,0.000003986686],"about_ca_topic_score_codex":0.014443237,"about_ca_topic_score_gemma":0.024605451,"teacher_disagreement_score":0.75312066,"about_ca_system_score_codex":0.0025850763,"about_ca_system_score_gemma":0.0041794945,"threshold_uncertainty_score":0.8258937},"labels":[],"label_agreement":null},{"id":"W7069142832","doi":"","title":"The Crow 2018","year":2018,"lang":"en","type":"other","venue":"oURspace (University of Regina)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Key (lock); Power (physics); Nest (protein structural motif); Electrocution; Pandemic","score_opus":0.008023280192933196,"score_gpt":0.18105808393174622,"score_spread":0.17303480373881303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7069142832","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00037064648,0.0027903672,0.0004196506,0.046945024,0.1892905,0.00006736961,0.0009398518,0.0007292417,0.7584474],"genre_scores_gemma":[0.0012686078,0.000618587,0.000106731546,0.0061180955,0.005299954,0.000017656575,0.00019471186,0.00019019138,0.9861855],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99893254,0.00010530321,0.000038176942,0.0001041313,0.00057908654,0.00024064549],"domain_scores_gemma":[0.9974279,0.00024061688,0.00008730838,0.0001724433,0.0012855837,0.00078624085],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010592948,0.00080707547,0.0004896783,0.0009006526,0.0027186652,0.0066610384,0.0010536461,0.003805519,0.5203422],"category_scores_gemma":[0.0066511524,0.00030217637,0.000603034,0.00049122015,0.0010840757,0.0018399836,0.0022983262,0.005250061,0.31581765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000535536,0.0000050036074,0.000023135388,0.000017356366,6.975769e-7,0.000031975345,0.00000845601,0.0000077076165,0.000015319729,0.0012216447,0.99121594,0.007447278],"study_design_scores_gemma":[0.0000022910465,0.0000020041607,0.00006692157,0.00002906942,4.911529e-7,0.000013887534,0.000029606543,0.000007141678,0.0000143201205,0.00027889974,0.99955374,0.0000015758886],"about_ca_topic_score_codex":0.010397265,"about_ca_topic_score_gemma":0.039536253,"teacher_disagreement_score":0.5203422,"about_ca_system_score_codex":0.0018748555,"about_ca_system_score_gemma":0.0032267817,"threshold_uncertainty_score":0.6841737},"labels":[],"label_agreement":null},{"id":"W7069310789","doi":"","title":"","year":2021,"lang":"en","type":"other","venue":"Directory of Open access Books (OAPEN Foundation)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sleep (system call); Cognition; Perspective (graphical); Sleep architecture; Mechanism (biology)","score_opus":0.08448181453858977,"score_gpt":0.38703632172414776,"score_spread":0.302554507185558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7069310789","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015855456,0.0855953,0.0052031395,0.03330542,0.02190427,0.00006444079,0.0006873962,0.0006075233,0.85104704],"genre_scores_gemma":[0.008329815,0.03721467,0.0030844565,0.0067111077,0.0061458326,0.000048893216,0.00058872683,0.00018465555,0.9376918],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99954295,0.000059970247,0.000022101707,0.00008267934,0.00025692483,0.000035477697],"domain_scores_gemma":[0.9992304,0.00016747542,0.00004429539,0.00010411657,0.00026274114,0.00019092525],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007328993,0.00052012346,0.0003837539,0.0010718334,0.0010451822,0.004249045,0.00063262234,0.0018986496,0.16118516],"category_scores_gemma":[0.0017224352,0.0001471826,0.00028287616,0.0011385281,0.0011575756,0.0029254504,0.0015692126,0.0014765293,0.109432414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032751916,0.000026598136,0.000398477,0.00032002394,0.0000049660666,0.00009331852,0.00026885938,0.00010482723,0.0011019413,0.038762823,0.52188003,0.43700537],"study_design_scores_gemma":[7.411183e-7,0.0000066835896,0.00044479573,0.000089729045,8.719061e-7,0.00009246856,0.00008709511,0.00003125587,0.00009483397,0.0053640096,0.9937854,0.0000020897317],"about_ca_topic_score_codex":0.0019427005,"about_ca_topic_score_gemma":0.0044158623,"teacher_disagreement_score":0.83881485,"about_ca_system_score_codex":0.0011687713,"about_ca_system_score_gemma":0.0013907023,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W7069346485","doi":"","title":"Cincinnati, Ohio","year":2009,"lang":"en","type":"other","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pearl; Queen (butterfly); Quarter (Canadian coin); League; Yard; Banner","score_opus":0.006305914974433885,"score_gpt":0.18517581050733095,"score_spread":0.17886989553289706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7069346485","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00045911956,0.0037711742,0.0008819686,0.003339903,0.005711454,0.00016452814,0.00564518,0.00091383304,0.97911286],"genre_scores_gemma":[0.0015429846,0.0022473892,0.0003995804,0.00075126096,0.00035423355,0.000093098446,0.0021428105,0.0003391009,0.9921296],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818856,0.00020760033,0.00013090142,0.00059418596,0.00063522125,0.00024361795],"domain_scores_gemma":[0.9974267,0.00023333418,0.00014390307,0.0003111465,0.0011751318,0.00070977764],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012220639,0.0019560605,0.0010886338,0.0018071642,0.0029503284,0.00786868,0.0019079171,0.0023280692,0.88874817],"category_scores_gemma":[0.0034284617,0.0006526147,0.0008614615,0.0026177296,0.00085140375,0.0036736678,0.0029913739,0.0024333147,0.7408853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007900214,0.00006338007,0.0003248752,0.0001870975,0.000010042394,0.00021475478,0.00009000078,0.00008444243,0.00022275362,0.0039384835,0.9075237,0.08726152],"study_design_scores_gemma":[0.000009048639,0.000013831071,0.0003771614,0.00007014465,0.000002659301,0.000057876983,0.000067554334,0.00002455253,0.000035866615,0.00027136036,0.9990639,0.000006097566],"about_ca_topic_score_codex":0.00992392,"about_ca_topic_score_gemma":0.023944829,"teacher_disagreement_score":0.88874817,"about_ca_system_score_codex":0.0021453847,"about_ca_system_score_gemma":0.00344757,"threshold_uncertainty_score":0.15868717},"labels":[],"label_agreement":null},{"id":"W7069368390","doi":"","title":"","year":2021,"lang":"en","type":"other","venue":"Directory of Open access Books (OAPEN Foundation)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Narrative; Focus (optics); Oral history; Identity (music); Period (music)","score_opus":0.08448181453858977,"score_gpt":0.38703632172414776,"score_spread":0.302554507185558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7069368390","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011559769,0.016173966,0.0017684791,0.012855657,0.005947157,0.000085785374,0.0012301168,0.00042019767,0.949959],"genre_scores_gemma":[0.029896375,0.005443518,0.001076669,0.0024870923,0.0007503259,0.000043119922,0.0005480324,0.0002696499,0.9594853],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99951625,0.0000637476,0.000010855269,0.000057795605,0.0002853976,0.000066025554],"domain_scores_gemma":[0.9991903,0.00019549427,0.00003560792,0.000054858032,0.00041222826,0.00011152544],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003050792,0.0006227434,0.00029887113,0.0015159769,0.006370687,0.0034926347,0.00061554846,0.0005981814,0.042250685],"category_scores_gemma":[0.0021321217,0.000115214505,0.00014954637,0.0018607918,0.0022400154,0.0010823688,0.0010218463,0.0011777573,0.012676893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001833716,0.000020061947,0.00062121986,0.00019813258,0.000002296982,0.0004038941,0.016705958,0.000048746602,0.0011221111,0.0107603,0.8822655,0.08783333],"study_design_scores_gemma":[3.1539207e-7,0.0000015264483,0.00046965262,0.000048820053,6.7798936e-7,0.00005511437,0.0028775309,0.000006952609,0.0001145774,0.000252393,0.9961696,0.0000028217114],"about_ca_topic_score_codex":0.1615604,"about_ca_topic_score_gemma":0.46295747,"teacher_disagreement_score":0.9577493,"about_ca_system_score_codex":0.0038192153,"about_ca_system_score_gemma":0.0042244284,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W7069430472","doi":"","title":"Guest editorial","year":2010,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"","score_opus":0.003669319780852856,"score_gpt":0.17893102821306203,"score_spread":0.17526170843220917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7069430472","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025178606,0.0048303404,0.00011743807,0.050561346,0.9237006,0.000043490105,0.00014421043,0.00009371162,0.020257121],"genre_scores_gemma":[0.0034030944,0.004838544,0.00016377568,0.05002871,0.771962,0.00005116067,0.00021033346,0.00010834186,0.16923414],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984491,0.00020730785,0.000103624225,0.00026681123,0.0006916466,0.00028142153],"domain_scores_gemma":[0.9932742,0.0010244468,0.00041456992,0.00035944508,0.0027171986,0.0022101668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019085621,0.0011514056,0.0009703111,0.0013639099,0.0014446649,0.0035844657,0.001189229,0.0056451545,0.08361772],"category_scores_gemma":[0.011703308,0.0004068286,0.0008574193,0.0004947402,0.00076484063,0.0013764198,0.0014027862,0.006513813,0.036460616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031862462,0.0000068708055,0.00004377251,0.000053896743,0.0000045470892,0.00015081101,0.0000054758416,0.0000057619995,0.00006409895,0.00021483825,0.99203277,0.007385418],"study_design_scores_gemma":[0.000023688599,0.00001489895,0.00025895485,0.0000655996,0.0000094374855,0.00021639561,0.000020199057,0.000021020907,0.00010035517,0.00022401314,0.99904007,0.000005286342],"about_ca_topic_score_codex":0.001880814,"about_ca_topic_score_gemma":0.004167825,"teacher_disagreement_score":0.08361772,"about_ca_system_score_codex":0.0016629036,"about_ca_system_score_gemma":0.0020927945,"threshold_uncertainty_score":0.27972913},"labels":[],"label_agreement":null},{"id":"W7069651175","doi":"","title":"Seabirds","year":2018,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; Acadia University","funders":"","keywords":"","score_opus":0.007031581216252223,"score_gpt":0.2033479806117531,"score_spread":0.19631639939550088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7069651175","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58670557,0.004052478,0.006251848,0.0009639281,0.0011994689,0.00015339047,0.009229979,0.001703073,0.38974023],"genre_scores_gemma":[0.7286484,0.0029018146,0.006892292,0.0014207119,0.00016168482,0.00011984885,0.006970102,0.00034720235,0.252538],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998877,0.0000056124745,0.0000021028884,0.000054775675,0.000018584113,0.000031151987],"domain_scores_gemma":[0.99983144,0.000009136447,0.000026428994,0.000020309704,0.000036929854,0.00007567049],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009443227,0.00048490963,0.00021992445,0.00068443257,0.00093272666,0.0007508279,0.0003328095,0.00052660005,0.039773654],"category_scores_gemma":[0.00019772271,0.00018388641,0.00017512831,0.0003678567,0.0005565152,0.00064817397,0.00074067886,0.00054745394,0.012963105],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012829318,0.00023356506,0.16435526,0.00062844274,0.00020482598,0.0016570861,0.0024644707,0.0011239492,0.14984696,0.009934433,0.1320122,0.53625584],"study_design_scores_gemma":[0.000036371985,0.0003860214,0.32409862,0.00017908947,0.00009862624,0.0016681134,0.0026094352,0.000572099,0.013166624,0.0017312631,0.6553949,0.000058805766],"about_ca_topic_score_codex":0.013807417,"about_ca_topic_score_gemma":0.039616797,"teacher_disagreement_score":0.96022636,"about_ca_system_score_codex":0.0004537485,"about_ca_system_score_gemma":0.00028503654,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W7069954910","doi":"","title":"ISIDRO EL LABRADOR","year":2013,"lang":"es","type":"other","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Natural (archaeology); Context (archaeology)","score_opus":0.008518364208859765,"score_gpt":0.22457476467130302,"score_spread":0.21605640046244326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7069954910","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018225635,0.007942265,0.0064375084,0.0023040175,0.0022719968,0.00006574623,0.0062068473,0.006127139,0.966822],"genre_scores_gemma":[0.007438442,0.008810833,0.0050799665,0.00038748796,0.00058078533,0.00006483409,0.004463495,0.0017518623,0.9714224],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993412,0.00006354367,0.000030456444,0.00016081784,0.00028840764,0.000115535535],"domain_scores_gemma":[0.99902,0.00014254873,0.00009428413,0.00017177548,0.00041634738,0.00015505264],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00081106444,0.0017350181,0.0009940474,0.0029368585,0.0010966434,0.0042986535,0.0010401421,0.0016597495,0.41149133],"category_scores_gemma":[0.0018588329,0.00032403308,0.00067301217,0.0021810867,0.0005909855,0.00201641,0.0018642951,0.001829467,0.2883307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030732897,0.00011508208,0.0004631788,0.00045342464,0.000017485268,0.00015791993,0.00006664138,0.00065669144,0.0013873185,0.03089448,0.5647729,0.40070763],"study_design_scores_gemma":[0.000020159996,0.000015844207,0.00045148886,0.00012308823,0.000009942038,0.00009691529,0.000032184995,0.00032271747,0.0008752515,0.0037248295,0.99432015,0.000007354537],"about_ca_topic_score_codex":0.009313087,"about_ca_topic_score_gemma":0.009513625,"teacher_disagreement_score":0.58850867,"about_ca_system_score_codex":0.0014756816,"about_ca_system_score_gemma":0.0022847794,"threshold_uncertainty_score":0.8394362},"labels":[],"label_agreement":null},{"id":"W7070048435","doi":"","title":"One approach to the axisymmetric problem of impact of fine shells of the S.P. Timoshenko type on elastic half-space","year":2021,"lang":"en","type":"article","venue":"The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Progressive Waste Solutions (Canada)","funders":"","keywords":"Discretization; Timoshenko beam theory; Rotational symmetry; Volterra integral equation; Type (biology); Algebraic equation; Inertia; Rotation (mathematics); Integral equation; Equations of motion","score_opus":0.058229390399668644,"score_gpt":0.29785596193811986,"score_spread":0.2396265715384512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070048435","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022746539,0.0006420759,0.9586445,0.00051705097,0.00013298851,0.00009878042,0.00008753514,0.000061867635,0.01706863],"genre_scores_gemma":[0.5951288,0.0025109388,0.36643136,0.00027674696,0.00028114932,0.000471694,0.00024619876,0.00013591512,0.034517214],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979657,0.00006882439,0.00000997903,0.0000381421,0.00006857294,0.000017952801],"domain_scores_gemma":[0.9998388,0.000043489512,0.000034778437,0.00001931437,0.000044212553,0.000019348237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030613624,0.000705656,0.00061118446,0.00056890416,0.0005604225,0.00080206373,0.0011636728,0.0011109383,0.0033612587],"category_scores_gemma":[0.000522177,0.0003310778,0.00084396463,0.0003283776,0.0010386632,0.0011008107,0.0010026185,0.0018875037,0.0003790823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077956574,0.00010644401,0.0012096418,0.00040598554,0.00009224972,0.00061720534,0.0005200647,0.41913366,0.02143155,0.5158634,0.0022858214,0.03825593],"study_design_scores_gemma":[0.000031021522,0.000113942086,0.0006617114,0.00003931407,0.000017131892,0.00043365185,0.0001456083,0.91299766,0.002146631,0.07174575,0.011631147,0.000036383677],"about_ca_topic_score_codex":0.0021199528,"about_ca_topic_score_gemma":0.0014257841,"teacher_disagreement_score":0.0033612587,"about_ca_system_score_codex":0.000460359,"about_ca_system_score_gemma":0.00076529407,"threshold_uncertainty_score":0.011244535},"labels":[],"label_agreement":null},{"id":"W7070170235","doi":"","title":"Banco Montreal I","year":2015,"lang":"en","type":"other","venue":"Institutional Repository of Tecnológico de Monterrey (Tecnológico de Monterrey)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Term (time); Work (physics); Subject (documents)","score_opus":0.010162192784678422,"score_gpt":0.21472400190223034,"score_spread":0.20456180911755192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070170235","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001088899,0.0024497097,0.0008985593,0.0008636388,0.0008506479,0.00006235173,0.0103130825,0.0010471962,0.9824258],"genre_scores_gemma":[0.0026260372,0.0010574039,0.00063088426,0.00014274208,0.00008136256,0.00003189091,0.0029112012,0.0003818004,0.9921367],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989422,0.0000822234,0.00002636005,0.00029330622,0.0004699337,0.0001861154],"domain_scores_gemma":[0.99876815,0.000114822826,0.00006210416,0.0002074178,0.00060725986,0.000240179],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055613735,0.0013916615,0.00093247875,0.0033050713,0.0041659973,0.0059002326,0.0016493371,0.0012334937,0.6584028],"category_scores_gemma":[0.0020237244,0.0005230662,0.00055697554,0.00466221,0.0007959381,0.001584412,0.0021416936,0.0016545053,0.3472333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009461138,0.000050644332,0.0008138393,0.00021110661,0.0000130816015,0.00017695736,0.00012805924,0.00027203304,0.00059932703,0.031473614,0.8467156,0.119451076],"study_design_scores_gemma":[0.000004870665,0.0000047397484,0.0008836116,0.0000620277,0.0000031914317,0.000040728642,0.00006362444,0.00006265499,0.00020575938,0.0008258724,0.9978364,0.0000064880146],"about_ca_topic_score_codex":0.21149749,"about_ca_topic_score_gemma":0.43135574,"teacher_disagreement_score":0.6584028,"about_ca_system_score_codex":0.004427739,"about_ca_system_score_gemma":0.007298051,"threshold_uncertainty_score":0.48724693},"labels":[],"label_agreement":null},{"id":"W7070213436","doi":"","title":"Philosophy of Disability, Conceptual Engineeering, and the Nursing Home-Industrial-Complex in Canada","year":2021,"lang":"en","type":"article","venue":"PhilPapers (PhilPapers Foundation)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tying; Eugenics; Tragedy (event); Pandemic; Covert; Biopower; Economic Justice; Field (mathematics)","score_opus":0.028218257229064604,"score_gpt":0.22257888751616287,"score_spread":0.19436063028709827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070213436","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28495702,0.01610552,0.0074886275,0.08019942,0.00042811222,0.00012300834,0.00019605624,0.00008697968,0.61041534],"genre_scores_gemma":[0.9616143,0.0036423337,0.0018150056,0.0017494241,0.000022061002,0.00002821726,0.000033338136,0.000024450508,0.031070907],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975943,0.0005411466,0.000053133117,0.0002117495,0.00068701844,0.00091259304],"domain_scores_gemma":[0.9978149,0.00053766835,0.00014219835,0.000104153856,0.0006724284,0.00072871713],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002591974,0.00036681103,0.00026422978,0.0014953513,0.02832288,0.008757876,0.0016059475,0.0016654562,0.0036725805],"category_scores_gemma":[0.0027138237,0.00019673693,0.0002651663,0.0033262179,0.046295345,0.0023336655,0.0046881796,0.0033409472,0.00014906489],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014228414,0.000018592265,0.0019016305,0.000056096844,0.0000035685748,0.00019954496,0.052116882,0.0006907229,0.00014850193,0.9273724,0.00592237,0.011555603],"study_design_scores_gemma":[0.000030361627,0.000032247804,0.018439665,0.00046025243,0.00002099003,0.00030014946,0.17807695,0.0025059336,0.0004795291,0.19595924,0.60360307,0.000091676135],"about_ca_topic_score_codex":0.99358916,"about_ca_topic_score_gemma":0.99556893,"teacher_disagreement_score":0.9716771,"about_ca_system_score_codex":0.25623038,"about_ca_system_score_gemma":0.25916615,"threshold_uncertainty_score":0.8626673},"labels":[],"label_agreement":null},{"id":"W7070234301","doi":"","title":"Pernette du Guillet. Complete poems. A bilingual edition. Edited with introduction and notes by Karen Simroth James. Poems translated by Marta Rijn Finch. Toronto : Iter Inc., Centre for Reformation and Renaissance Studies, 2010","year":2011,"lang":"en","type":"other","venue":"Persée (Ministère de lEnseignement supérieur et de la Recherche)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Poetry; The Renaissance; Wright; Exposition (narrative)","score_opus":0.04561755334328613,"score_gpt":0.29236624702635927,"score_spread":0.24674869368307314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070234301","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022808767,0.2840001,0.004008662,0.018351216,0.0129027255,0.00007656934,0.0035523465,0.0007484296,0.67407906],"genre_scores_gemma":[0.030878847,0.108767934,0.0049471124,0.0026618496,0.0022521084,0.00012914167,0.002631774,0.0012330484,0.84649825],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995459,0.00014723958,0.000025188594,0.00007171273,0.00017874362,0.000031326552],"domain_scores_gemma":[0.9995765,0.00013567621,0.000028408267,0.000023539378,0.00019113933,0.00004477003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005910576,0.0011169337,0.00059985224,0.0019197289,0.0015198839,0.0024850802,0.00049769,0.00063898036,0.08026171],"category_scores_gemma":[0.0018747529,0.00037867218,0.00020927163,0.0023509625,0.0011294015,0.002762631,0.00089049526,0.0016855346,0.035058193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003621373,0.000013371304,0.00007072036,0.00025857336,0.0000022787572,0.00006975414,0.0017569821,0.00003883836,0.00018428473,0.01614821,0.8784087,0.103012115],"study_design_scores_gemma":[0.0000019214556,0.0000023557977,0.00022252428,0.00010516155,6.7375765e-7,0.00006475065,0.00026389046,0.0000122857755,0.000050516912,0.001100258,0.998173,0.0000026268192],"about_ca_topic_score_codex":0.0166737,"about_ca_topic_score_gemma":0.044065636,"teacher_disagreement_score":0.08026171,"about_ca_system_score_codex":0.0016855908,"about_ca_system_score_gemma":0.0020440922,"threshold_uncertainty_score":0.26850218},"labels":[],"label_agreement":null},{"id":"W7070260832","doi":"","title":"Pas juste une question de langue : l'identite nationale et l'exiguite litteraire dans les recits franco-manitobains et acadiens","year":2012,"lang":"fr","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"French; Immigration; Representation (politics); Face (sociological concept)","score_opus":0.018809109989715408,"score_gpt":0.2346610497641898,"score_spread":0.2158519397744744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070260832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6621057,0.021413742,0.0015983611,0.04617457,0.0003676255,0.00004109805,0.00038801742,0.000050701143,0.2678602],"genre_scores_gemma":[0.95361274,0.004331202,0.00046775927,0.0017062052,0.000052644504,0.000023921413,0.000114395756,0.000035519897,0.039655577],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9978528,0.0006134493,0.00005290395,0.00021901284,0.00043277166,0.0008291062],"domain_scores_gemma":[0.9966164,0.00084702886,0.00036117685,0.00019847922,0.0013559778,0.00062103575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002804312,0.00038596202,0.00039027262,0.0019120205,0.018140025,0.009121478,0.0009254316,0.0011872234,0.007380053],"category_scores_gemma":[0.0035145697,0.00025235076,0.00023053221,0.003554385,0.01863786,0.003753787,0.0030677102,0.002267114,0.00056535355],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008407944,0.00003750109,0.047661442,0.00022926854,0.000034803277,0.0007703094,0.6372998,0.00015888299,0.0007479881,0.2506712,0.012828051,0.049476713],"study_design_scores_gemma":[0.00001333818,0.00004705183,0.09933285,0.0009058962,0.00005261731,0.00035864423,0.47277907,0.00018192685,0.00051249267,0.009827546,0.41591832,0.00007029199],"about_ca_topic_score_codex":0.9331225,"about_ca_topic_score_gemma":0.96114033,"teacher_disagreement_score":0.066877484,"about_ca_system_score_codex":0.032978397,"about_ca_system_score_gemma":0.053195033,"threshold_uncertainty_score":0.23927617},"labels":[],"label_agreement":null},{"id":"W7070263519","doi":"","title":"\"Porte tournante\" à l'urgence et usagers fréquents rencontrant des problèmes de santé mentale : la perspective des proches","year":2020,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Identity (music); Context (archaeology); Quantitative methodology","score_opus":0.010133848538251293,"score_gpt":0.2082356548915017,"score_spread":0.1981018063532504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070263519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9489644,0.0029827927,0.0012923724,0.017999081,0.00025514842,0.000059144568,0.00019048598,0.000020885298,0.028235745],"genre_scores_gemma":[0.9869501,0.0019590338,0.00040366847,0.0023029135,0.00006574962,0.000046583948,0.000073534386,0.000018125651,0.00818023],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99793917,0.0009616458,0.000062043146,0.00015627245,0.00037457864,0.00050617545],"domain_scores_gemma":[0.9964024,0.00107645,0.00073867495,0.00016119539,0.00066084723,0.00096039247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022313464,0.00032112165,0.00044423598,0.0008304418,0.0072266036,0.0040742513,0.0011431848,0.0015440733,0.007214493],"category_scores_gemma":[0.0048358883,0.0003128114,0.00050426554,0.0012175872,0.00777364,0.0031542222,0.0032705474,0.0031181388,0.0004968342],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086450666,0.000105840576,0.06370285,0.00040688427,0.000057695805,0.0034571874,0.8909409,0.00008072256,0.0010132755,0.012664627,0.006195065,0.021288447],"study_design_scores_gemma":[0.000008867059,0.00009458773,0.11031091,0.00041375167,0.00002927792,0.0014842734,0.8326009,0.00012459603,0.000176064,0.0015208288,0.05317087,0.000065077315],"about_ca_topic_score_codex":0.3068936,"about_ca_topic_score_gemma":0.41112542,"teacher_disagreement_score":0.3068936,"about_ca_system_score_codex":0.007513311,"about_ca_system_score_gemma":0.009324572,"threshold_uncertainty_score":0.61021453},"labels":[],"label_agreement":null},{"id":"W7070268184","doi":"","title":"Overview of the LIBS Technology for Rapid Analysis of Materials","year":2007,"lang":"en","type":"other","venue":"NPARC","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Materials testing; Focus (optics)","score_opus":0.02362073043243407,"score_gpt":0.270015809835139,"score_spread":0.24639507940270494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070268184","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022066783,0.069655135,0.36261663,0.005539437,0.0030344143,0.0031139639,0.010160856,0.021114709,0.502698],"genre_scores_gemma":[0.05058094,0.07689126,0.41414782,0.0018254508,0.0013991834,0.0015911801,0.01343431,0.0020157564,0.43811414],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998522,0.0001281262,0.000069542715,0.00014856436,0.0010393683,0.00009240472],"domain_scores_gemma":[0.9988281,0.00012179866,0.000048804115,0.00016270755,0.00075895747,0.00007966115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017050405,0.0009828958,0.000872839,0.0034723682,0.0010256168,0.002289062,0.0016934035,0.0010278549,0.03574107],"category_scores_gemma":[0.00117956,0.0006255634,0.00055200706,0.0021952144,0.00037000104,0.0016644765,0.0013192369,0.0015570979,0.026679482],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018796184,0.00023021201,0.0009291773,0.002385873,0.0000598803,0.00022114183,0.00012129295,0.0009044654,0.11090022,0.015299268,0.11866159,0.75009894],"study_design_scores_gemma":[0.000022414153,0.000118918186,0.0014090197,0.00015674761,0.000032035314,0.0008873462,0.000039300678,0.0019293051,0.10602326,0.002928515,0.8863999,0.000053176347],"about_ca_topic_score_codex":0.001414799,"about_ca_topic_score_gemma":0.0039346786,"teacher_disagreement_score":0.03574107,"about_ca_system_score_codex":0.00097113976,"about_ca_system_score_gemma":0.0025531133,"threshold_uncertainty_score":0.119565785},"labels":[],"label_agreement":null},{"id":"W7070280250","doi":"","title":"Orbital Energy Group Schedules First Quarter 2021 Financial Results Conference Call for Monday, May 17, 2021 at 8:30 am ET","year":2021,"lang":"en","type":"other","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Group (periodic table); Energy (signal processing); Financial Audit","score_opus":0.014565807929120492,"score_gpt":0.2300591079174627,"score_spread":0.2154932999883422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070280250","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001716878,0.00027398215,0.0005003686,0.0023858857,0.0037960815,0.00033192494,0.012103714,0.0022476553,0.9766435],"genre_scores_gemma":[0.0018297988,0.00009729389,0.00018577359,0.00022447179,0.00015672315,0.000053981435,0.0033310594,0.0004241559,0.99369675],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995536,0.000026271096,0.000009047422,0.000033415006,0.000265118,0.00011244628],"domain_scores_gemma":[0.9992723,0.000045029126,0.000022493412,0.00004641714,0.00032439374,0.00028938786],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009059643,0.00092320703,0.00060873985,0.0013450544,0.0032944148,0.0053814068,0.0007235959,0.0021104089,0.72660816],"category_scores_gemma":[0.0017582463,0.00047919492,0.0007343993,0.00084756373,0.0003332613,0.0011300945,0.00141662,0.0018099492,0.5689363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000858439,0.000032707292,0.00010145847,0.000022408352,0.0000019127885,0.000017620536,0.000008307902,0.000047945883,0.00015031558,0.00041328213,0.9891973,0.0099209845],"study_design_scores_gemma":[0.000040669947,0.000039429302,0.0011954139,0.000022419097,0.0000030397048,0.0000112181415,0.00006447781,0.00013770044,0.00019732973,0.0003261376,0.99795413,0.000008113705],"about_ca_topic_score_codex":0.028574623,"about_ca_topic_score_gemma":0.089854546,"teacher_disagreement_score":0.72660816,"about_ca_system_score_codex":0.0017689227,"about_ca_system_score_gemma":0.0033101612,"threshold_uncertainty_score":0.38996023},"labels":[],"label_agreement":null},{"id":"W7070308583","doi":"","title":"Éditorial","year":2021,"lang":"fr","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Period (music); Focus (optics); Field (mathematics); Agency (philosophy)","score_opus":0.026634584607936433,"score_gpt":0.23850706160466933,"score_spread":0.2118724769967329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070308583","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016295402,0.010091531,0.00029732662,0.047397833,0.92008215,0.000048024358,0.0003998783,0.00016629911,0.021354003],"genre_scores_gemma":[0.0028662283,0.014609716,0.00043115555,0.050669312,0.8166894,0.000077768,0.000630376,0.00024746315,0.11377857],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972029,0.0003692915,0.00027576587,0.0005172603,0.0013502946,0.00028454053],"domain_scores_gemma":[0.98409766,0.0038990297,0.0008793028,0.0010282676,0.008033587,0.0020621256],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029232998,0.0012040484,0.0012537779,0.0024296504,0.0016878374,0.0053281602,0.002163559,0.0048819785,0.11199595],"category_scores_gemma":[0.02082493,0.00045809385,0.0010133905,0.0010228568,0.0014104472,0.003389416,0.001530971,0.005709896,0.058564607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025304753,0.000007016229,0.000030346278,0.00017371171,0.0000049647856,0.00006214947,0.000015089336,0.00001227,0.000059538783,0.000669605,0.9875339,0.011405992],"study_design_scores_gemma":[0.000009931654,0.0000076533415,0.00009533494,0.00024857995,0.000005482349,0.00011555137,0.00002285055,0.000015711335,0.00006830801,0.0004116054,0.998995,0.0000038625226],"about_ca_topic_score_codex":0.0012063535,"about_ca_topic_score_gemma":0.0018267245,"teacher_disagreement_score":0.88800406,"about_ca_system_score_codex":0.0016306612,"about_ca_system_score_gemma":0.0025840679,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W7070356451","doi":"","title":"Office national du film du Canada. “Sélection Films de l’ONF (Conflits, Guerres et Paix &amp; Question autochtone)”","year":2023,"lang":"fr","type":"other","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"National identity; National state","score_opus":0.031540216622841635,"score_gpt":0.2503541405512156,"score_spread":0.21881392392837395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070356451","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011902008,0.0031154815,0.00017246934,0.01894822,0.0038001835,0.00018206824,0.02565875,0.00045688,0.94647574],"genre_scores_gemma":[0.011404619,0.00274455,0.00045238173,0.0037652256,0.0003946805,0.00013224881,0.008139909,0.0006289123,0.9723374],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99743867,0.00011200052,0.000081557446,0.0001782959,0.001665576,0.00052389386],"domain_scores_gemma":[0.9921296,0.00048060872,0.00019317692,0.00022919486,0.005990775,0.0009765732],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013949297,0.00065344834,0.0005214086,0.0020786775,0.008458982,0.007776654,0.0012153479,0.0024909794,0.44123685],"category_scores_gemma":[0.007502723,0.0004503456,0.00028674662,0.0040107067,0.0015405692,0.003361615,0.0015877874,0.0020142435,0.100500986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004929707,0.0000032212026,0.00008465621,0.000026017906,4.899119e-7,0.000014469881,0.00012824587,0.0000045837783,0.000028811066,0.0014275399,0.9941341,0.004142906],"study_design_scores_gemma":[0.0000017820817,6.469685e-7,0.0007756026,0.0000511459,6.1044915e-7,0.000010692368,0.000324581,0.000005406756,0.0000481199,0.000082159015,0.9986941,0.000005142667],"about_ca_topic_score_codex":0.9339421,"about_ca_topic_score_gemma":0.95702267,"teacher_disagreement_score":0.44123685,"about_ca_system_score_codex":0.02978946,"about_ca_system_score_gemma":0.04073333,"threshold_uncertainty_score":0.7970078},"labels":[],"label_agreement":null},{"id":"W7070388240","doi":"","title":"Ontario gov't reaches out to opposition, backs spending restraint\\n| Reuters","year":2013,"lang":"en","type":"other","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Production (economics); Investment (military)","score_opus":0.023490527836868294,"score_gpt":0.22995253736832144,"score_spread":0.20646200953145316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070388240","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026468388,0.00030069845,0.0001710342,0.009905033,0.00065066357,0.00012214115,0.005041801,0.00039593744,0.9807658],"genre_scores_gemma":[0.002026822,0.00008092917,0.00005174445,0.0010746877,0.000021670132,0.00001585847,0.0003836045,0.000088691166,0.996256],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983308,0.00003683211,0.000023562277,0.00007554107,0.0008729274,0.00066039956],"domain_scores_gemma":[0.9980895,0.00011597975,0.00003285146,0.00009234603,0.0011627284,0.00050664734],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00069437135,0.00065277796,0.00050881325,0.0013464553,0.012926433,0.0053760908,0.0011506726,0.0050490275,0.3433198],"category_scores_gemma":[0.0026162523,0.00082919677,0.00079361565,0.0012956194,0.001378786,0.0011766186,0.0017620911,0.00369253,0.0986383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002167617,0.000016415876,0.0003928942,0.000023937473,0.0000027453311,0.000058861675,0.0000957372,0.000032267504,0.000111285364,0.0044710725,0.9882195,0.0065535195],"study_design_scores_gemma":[0.000008895622,0.000006072776,0.0022332885,0.000026656307,0.0000040355076,0.000015723366,0.0003203863,0.000055172135,0.0001138264,0.00035825814,0.9968477,0.000009947302],"about_ca_topic_score_codex":0.95127386,"about_ca_topic_score_gemma":0.98925215,"teacher_disagreement_score":0.3433198,"about_ca_system_score_codex":0.027494421,"about_ca_system_score_gemma":0.06676329,"threshold_uncertainty_score":0.9366746},"labels":[],"label_agreement":null},{"id":"W7070392193","doi":"","title":"Oleksandr Pahiria: Mizh vijnoiu ta myrom: vidnosyny mizh OUN i UPA ta zbrojnymy sylamy Uhorshchyny (1939-1945) Litopys UPA, L'viv-Toronto, 2014.","year":2015,"lang":"nl","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Reflection (computer programming); Process (computing)","score_opus":0.024787675708834108,"score_gpt":0.2533153514680504,"score_spread":0.2285276757592163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070392193","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037524052,0.4040184,0.0047474895,0.14025529,0.038304683,0.00021669318,0.005740139,0.0007692888,0.36842403],"genre_scores_gemma":[0.119938895,0.08817129,0.0041134115,0.003826255,0.002834164,0.000049038892,0.0011283583,0.00033620442,0.77960235],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997155,0.00003654922,0.000017606253,0.000057076253,0.00012719746,0.000046072786],"domain_scores_gemma":[0.99969506,0.000064435924,0.00003448181,0.000012762675,0.000121571284,0.000071774615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067310454,0.0004127365,0.00024751757,0.0012644876,0.0029929725,0.0024803847,0.0004697364,0.0008839988,0.02278477],"category_scores_gemma":[0.0011095707,0.00020802903,0.00017476367,0.0014218654,0.0010668092,0.0019097615,0.0015728703,0.0013222478,0.0051441407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023941981,0.00006300594,0.005934355,0.00060943497,0.000021774766,0.0006951807,0.008874896,0.0001291967,0.0025292293,0.017647991,0.72048575,0.24276984],"study_design_scores_gemma":[0.00000361103,0.000013843088,0.0073963706,0.00013427773,0.000008374026,0.00016488745,0.0021819512,0.00002517279,0.0007468228,0.00082440895,0.9884907,0.000009526871],"about_ca_topic_score_codex":0.057766717,"about_ca_topic_score_gemma":0.22714548,"teacher_disagreement_score":0.057766717,"about_ca_system_score_codex":0.0024570755,"about_ca_system_score_gemma":0.0030694546,"threshold_uncertainty_score":0.11486095},"labels":[],"label_agreement":null},{"id":"W7070420525","doi":"","title":"The pedagogies of reuse","year":2024,"lang":"en","type":"article","venue":"Royal College of Art Research Repository (Royal College of Art)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Architecture; Reuse; Ideal (ethics); Reading (process); Circulation (fluid dynamics)","score_opus":0.029723341575673776,"score_gpt":0.30498922848333976,"score_spread":0.27526588690766596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070420525","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022568513,0.014392596,0.08173128,0.041605595,0.0009805476,0.00019611196,0.000048932838,0.0004686149,0.8380078],"genre_scores_gemma":[0.67619705,0.016395526,0.041191027,0.007403521,0.0006578544,0.00073330966,0.000091919545,0.0007112933,0.2566185],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.98792225,0.00786635,0.00034275008,0.0009010317,0.0021276437,0.0008400253],"domain_scores_gemma":[0.9912226,0.0057470556,0.00035527977,0.001742219,0.000541066,0.00039169955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007629307,0.0009299771,0.00066723017,0.0023959363,0.0064243483,0.011922973,0.0019765263,0.0039322665,0.008996033],"category_scores_gemma":[0.016876342,0.0006595005,0.00087269687,0.001726487,0.043894213,0.019315148,0.012064687,0.0061068367,0.00274606],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074682835,0.000042975196,0.0003781854,0.00015318509,0.0000055274445,0.00010903768,0.048868958,0.00025076646,0.00025316724,0.89501256,0.007863576,0.047054615],"study_design_scores_gemma":[0.000008510598,0.000038676157,0.0003123111,0.00047994396,0.000004801348,0.00032839298,0.016363842,0.0003390262,0.00040451076,0.38211834,0.59958947,0.000012214131],"about_ca_topic_score_codex":0.0038460097,"about_ca_topic_score_gemma":0.003543446,"teacher_disagreement_score":0.011922973,"about_ca_system_score_codex":0.0059062205,"about_ca_system_score_gemma":0.005784627,"threshold_uncertainty_score":0.04285288},"labels":[],"label_agreement":null},{"id":"W7070437810","doi":"","title":"The Pawns of War: A Personal Account of the Attack on Verrières Ridge by The South Saskatchewan Regiment, 20 July 1944","year":2012,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Hyporeflexia; Demotion; Diafiltration; Hemopericardium; Dysgeusia","score_opus":0.016718725223685154,"score_gpt":0.21076535379372158,"score_spread":0.19404662857003643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070437810","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045025297,0.06745989,0.00029545464,0.06516304,0.009133005,0.00012584904,0.0026274244,0.00016356181,0.8100065],"genre_scores_gemma":[0.040449407,0.0103130145,0.000089383335,0.0051387064,0.00027965094,0.000026709442,0.00031074916,0.00006825329,0.943324],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996024,0.000041475112,0.000011272701,0.0000340213,0.00014356214,0.00016726543],"domain_scores_gemma":[0.9997465,0.000045571407,0.000016088898,0.000014967282,0.00011272107,0.000064133674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000405458,0.0007025633,0.00019317043,0.0008724295,0.0126468055,0.0029433193,0.0011675985,0.0016308461,0.05439826],"category_scores_gemma":[0.0008410885,0.0004793388,0.00015501711,0.0019218441,0.0023712271,0.0008890892,0.0016582411,0.0028569063,0.008078042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004861793,0.000020250354,0.0024103594,0.00010733513,0.000008413329,0.0011486479,0.009406501,0.00015135741,0.00084950833,0.0046338164,0.9634132,0.017802086],"study_design_scores_gemma":[0.0000022043016,0.000004993842,0.0039265063,0.000085637126,0.0000020329128,0.00009944194,0.0062035504,0.000012666482,0.00014137175,0.0001371685,0.98937106,0.0000132995],"about_ca_topic_score_codex":0.850443,"about_ca_topic_score_gemma":0.9782713,"teacher_disagreement_score":0.149557,"about_ca_system_score_codex":0.017777875,"about_ca_system_score_gemma":0.017652143,"threshold_uncertainty_score":0.30087548},"labels":[],"label_agreement":null},{"id":"W7070459418","doi":"","title":"Perspectives of homeless people on their housing needs and approaches to ensure success","year":2012,"lang":"en","type":"article","venue":"York University Digital Library (York University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dehumanization; Dignity; Thematic analysis; Housing First; Unemployment; Service provider; Population; Welfare","score_opus":0.025445212229707036,"score_gpt":0.14706851713946356,"score_spread":0.12162330490975652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070459418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.972572,0.0021303818,0.00032432575,0.00950811,0.000109273926,0.00004189023,0.00004685796,0.000012816094,0.015254123],"genre_scores_gemma":[0.9956495,0.001066026,0.0001588602,0.0009824709,0.000025362255,0.000015986272,0.000015599979,0.000005825496,0.002080248],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99520314,0.0025700754,0.00014716887,0.00013054178,0.00060518144,0.0013439225],"domain_scores_gemma":[0.99661833,0.00088932755,0.00038854824,0.00009486915,0.00061412074,0.0013948939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054901023,0.00052642793,0.00072041946,0.0022118178,0.014321775,0.005707138,0.0014523081,0.0019513562,0.0029456234],"category_scores_gemma":[0.0059210914,0.00046594176,0.0005844276,0.0017536401,0.0109527875,0.0039161327,0.0068336925,0.0032580118,0.00025280472],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014229603,0.000028373584,0.0045072036,0.000056777513,0.0000052321084,0.0006667176,0.9887068,0.000017333876,0.00017956292,0.0014030152,0.00060648477,0.0038082101],"study_design_scores_gemma":[0.000002034328,0.000022785576,0.002281477,0.000055774937,0.0000036547567,0.00018208403,0.99327433,0.000012327208,0.000030910902,0.00019162959,0.0039372314,0.000005694987],"about_ca_topic_score_codex":0.0657758,"about_ca_topic_score_gemma":0.075363085,"teacher_disagreement_score":0.0657758,"about_ca_system_score_codex":0.0051610726,"about_ca_system_score_gemma":0.005273509,"threshold_uncertainty_score":0.13078588},"labels":[],"label_agreement":null},{"id":"W7070484512","doi":"","title":"Pinnacle West Capital Corporation (via Public) / APS Customers Save $6 Million in First Quarter of EIM Participation","year":2017,"lang":"en","type":"other","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pinnacle; Quarter (Canadian coin); Corporation; Capital (architecture)","score_opus":0.02020317611678238,"score_gpt":0.23868432845052542,"score_spread":0.21848115233374305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070484512","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013459676,0.0001327732,0.00043424318,0.0010421021,0.000533412,0.00007720971,0.0028802669,0.0019364815,0.9916176],"genre_scores_gemma":[0.0013019417,0.000055537723,0.00008894442,0.00011305852,0.000040695748,0.000015823753,0.0013131576,0.00019712905,0.9968736],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993205,0.00002797177,0.00001179631,0.00007599804,0.00040686908,0.00015697679],"domain_scores_gemma":[0.99869543,0.00005897305,0.000042151325,0.00013949999,0.0004788761,0.0005851795],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005055081,0.0009475639,0.00048093888,0.0015886645,0.0016620125,0.0043144464,0.00085259264,0.0016332982,0.7695956],"category_scores_gemma":[0.0017143274,0.00043984794,0.00050540647,0.0009300086,0.000465278,0.0021372277,0.0024680088,0.001795879,0.72613347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004305388,0.000052927084,0.00018860822,0.000022249957,0.0000013233923,0.000024618641,0.000013544431,0.000037249014,0.00021915168,0.0011600921,0.9638856,0.034351677],"study_design_scores_gemma":[0.00002241071,0.0000313372,0.0015560396,0.000034054512,0.0000023218897,0.000030745683,0.00008602815,0.0002321934,0.00036091835,0.0006086201,0.9970291,0.0000061470087],"about_ca_topic_score_codex":0.0083013205,"about_ca_topic_score_gemma":0.021437017,"teacher_disagreement_score":0.7695956,"about_ca_system_score_codex":0.0011123784,"about_ca_system_score_gemma":0.0034758467,"threshold_uncertainty_score":0.32864386},"labels":[],"label_agreement":null},{"id":"W7070489263","doi":"","title":"Quikcbooks Number ∿∿1800 728-7356 ∿∿ Quikcbooks phone number","year":2016,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Phone; Helpline; Service (business); Customer service; Customer needs; Mobile phone","score_opus":0.01084670397619964,"score_gpt":0.24696484767004143,"score_spread":0.2361181436938418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070489263","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011499088,0.000162108,0.0015460697,0.0005250261,0.0015597977,0.0003272561,0.0038648113,0.005375155,0.98548985],"genre_scores_gemma":[0.0015695399,0.00013460733,0.00095745607,0.00036269645,0.00014050271,0.00012851563,0.002124428,0.0008658499,0.9937164],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99921215,0.00006076164,0.000041944983,0.000111132285,0.00045839293,0.00011569724],"domain_scores_gemma":[0.9967699,0.0002291568,0.000084628475,0.000284376,0.0017513408,0.00088062114],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005322838,0.0012074509,0.0009125571,0.0015575011,0.0013561776,0.0028154536,0.0014652258,0.0008653904,0.925975],"category_scores_gemma":[0.0031886145,0.0007329915,0.0005036317,0.0010207132,0.00030164933,0.0021898868,0.001990095,0.0012569885,0.864446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000612293,0.000114717506,0.0001241167,0.00007715568,0.0000016554504,0.000030135348,0.000014328049,0.000037882055,0.0005203282,0.00047973232,0.92695415,0.07158449],"study_design_scores_gemma":[0.000039650648,0.000084297644,0.001701606,0.000057689147,0.000006285692,0.00008617096,0.000083519924,0.00013054654,0.0007698532,0.0007226468,0.9963003,0.000017532222],"about_ca_topic_score_codex":0.0024480284,"about_ca_topic_score_gemma":0.009384833,"teacher_disagreement_score":0.074024975,"about_ca_system_score_codex":0.0009768049,"about_ca_system_score_gemma":0.0021988426,"threshold_uncertainty_score":0.10558766},"labels":[],"label_agreement":null},{"id":"W7070540483","doi":"","title":"Phocoenoides dalli (Dall's porpoise) - CVM-2795","year":2022,"lang":"it","type":"other","venue":"Open Access Server of the Woods Hole Scientific Community (Woods Hole Scientific Community)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Coastal zone; Population; Flood myth","score_opus":0.10228560146701904,"score_gpt":0.3423876972093533,"score_spread":0.24010209574233426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070540483","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07718793,0.00043956097,0.0030178188,0.00073590846,0.00032816303,0.0007220664,0.08883619,0.002170032,0.8265624],"genre_scores_gemma":[0.19075198,0.000938171,0.0098777795,0.00056824536,0.000093892784,0.0006208997,0.14596479,0.0007185141,0.6504657],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998753,0.000006532178,0.000004879212,0.00003231648,0.000058556216,0.000022454074],"domain_scores_gemma":[0.99974734,0.0000306427,0.000035908302,0.0000406792,0.000072454626,0.0000730601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001466417,0.0003394835,0.00023830915,0.0010386687,0.0010428985,0.00024380726,0.0005669857,0.0005154914,0.1696508],"category_scores_gemma":[0.00034550048,0.00034034302,0.00016285795,0.0007011994,0.00027095588,0.0002457598,0.0006904474,0.000563078,0.05321017],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008757378,0.00034504212,0.040699318,0.00070291315,0.000034140674,0.0013593906,0.000661262,0.00056752923,0.07864185,0.0047476944,0.47720674,0.3941584],"study_design_scores_gemma":[0.00009749412,0.00026318346,0.16005647,0.00015452763,0.00002154276,0.0012594617,0.00040153268,0.00024181583,0.012327275,0.00045432255,0.8246963,0.000026080366],"about_ca_topic_score_codex":0.049917597,"about_ca_topic_score_gemma":0.12544493,"teacher_disagreement_score":0.1696508,"about_ca_system_score_codex":0.00068178744,"about_ca_system_score_gemma":0.00067199284,"threshold_uncertainty_score":0.56753844},"labels":[],"label_agreement":null},{"id":"W7070554558","doi":"","title":"One more quarter point rate hike this year wouldn't hurt, says former Fed president | rewfinancialcontent","year":2017,"lang":"en","type":"other","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Point (geometry); Interest rate; Government (linguistics)","score_opus":0.018395471334995032,"score_gpt":0.23318983534034451,"score_spread":0.2147943640053495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070554558","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0105437245,0.0013410493,0.0008269868,0.23049152,0.03862933,0.00024608706,0.008975248,0.0018307829,0.7071153],"genre_scores_gemma":[0.008207902,0.00035964182,0.00022851354,0.032795284,0.0010931463,0.000079717196,0.0013314212,0.00022787503,0.9556765],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99857616,0.00008088666,0.000046513178,0.000102350314,0.0007049985,0.00048906927],"domain_scores_gemma":[0.99862564,0.00014796834,0.000057990237,0.000077902936,0.00068958045,0.00040091146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018912399,0.00075183815,0.0004761116,0.0008510384,0.0055882474,0.0047795004,0.0010135956,0.010888711,0.10638499],"category_scores_gemma":[0.0043841656,0.0005890123,0.00094113656,0.0005094201,0.00092249346,0.0021631988,0.0019597933,0.007867579,0.048603743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042431486,0.000043153683,0.00049600785,0.000012806021,0.0000022382894,0.00006487935,0.000029697389,0.000023928289,0.00016823963,0.002050324,0.9909881,0.0060782735],"study_design_scores_gemma":[0.00002200414,0.000024230607,0.0030850878,0.00003086553,0.000004221754,0.000025902844,0.0001930279,0.00008170573,0.00023861237,0.00038404786,0.99589765,0.000012670088],"about_ca_topic_score_codex":0.11470455,"about_ca_topic_score_gemma":0.21441488,"teacher_disagreement_score":0.11470455,"about_ca_system_score_codex":0.0024667084,"about_ca_system_score_gemma":0.008440155,"threshold_uncertainty_score":0.35589325},"labels":[],"label_agreement":null},{"id":"W7070566432","doi":"","title":"Photography collections on the web (new practices on cultural transmission ?)","year":2009,"lang":"fr","type":"other","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ligne; Publics; Web site; Information transmission; Cultural institution","score_opus":0.02662141449967297,"score_gpt":0.2821401664845863,"score_spread":0.2555187519849133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070566432","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04586032,0.01093727,0.021667544,0.013629994,0.00066046696,0.0001555921,0.0006873638,0.0005966196,0.90580475],"genre_scores_gemma":[0.57156146,0.017301098,0.029703902,0.0024633966,0.00093559397,0.00030137974,0.00064451346,0.0010715902,0.37601715],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965814,0.0016829469,0.00016945596,0.00044728845,0.0008628895,0.00025608545],"domain_scores_gemma":[0.99457777,0.0024399196,0.00038022787,0.0017406781,0.00055158674,0.0003098763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036542118,0.00037935382,0.00034739432,0.005047272,0.00645638,0.018870076,0.0012738027,0.0014417239,0.042168323],"category_scores_gemma":[0.007637966,0.00048769527,0.00035643674,0.007412498,0.0127527565,0.017040962,0.007879938,0.001650369,0.004564075],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004487609,0.000025623624,0.0026758115,0.0004844192,0.000018063045,0.000563451,0.1405386,0.0002021427,0.0012773413,0.63993096,0.037276696,0.17696203],"study_design_scores_gemma":[0.000008529899,0.000010786464,0.0033473677,0.0006252677,0.000011285838,0.00041332166,0.03753621,0.000121925186,0.0008178156,0.024135262,0.93295026,0.000021992511],"about_ca_topic_score_codex":0.028452175,"about_ca_topic_score_gemma":0.055205353,"teacher_disagreement_score":0.042168323,"about_ca_system_score_codex":0.0059216027,"about_ca_system_score_gemma":0.004294879,"threshold_uncertainty_score":0.14106709},"labels":[],"label_agreement":null},{"id":"W7070641765","doi":"","title":"The recent history of McGill University, being the annual university lecture for the session of 1882-3.","year":2014,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Attendance; George (robot)","score_opus":0.00559148107055358,"score_gpt":0.15666788318979666,"score_spread":0.1510764021192431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070641765","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00584544,0.23310192,0.0019347102,0.17763703,0.027139591,0.00006465032,0.004425438,0.0003509708,0.5495003],"genre_scores_gemma":[0.07084463,0.03514368,0.0017327615,0.011540958,0.002939404,0.000044593584,0.00070725655,0.0002718263,0.8767749],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99819523,0.0003235963,0.000053443953,0.00026086165,0.0007516334,0.00041522464],"domain_scores_gemma":[0.9978569,0.00026975092,0.00013770988,0.000139074,0.0008086714,0.0007878238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015216513,0.00063764415,0.00041983093,0.0020770254,0.006119973,0.006524823,0.0013102806,0.0015688759,0.07073434],"category_scores_gemma":[0.0047552497,0.00037114602,0.00026443115,0.003998325,0.0050943657,0.0028688237,0.0026097763,0.0022816968,0.011786788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105721585,0.000012502769,0.00081692316,0.0002983219,0.00000731009,0.00012814402,0.001730124,0.00010591223,0.00035633397,0.07768871,0.8471242,0.07162573],"study_design_scores_gemma":[0.0000015588744,0.0000038187018,0.0010248236,0.000060932518,0.0000016994438,0.000024665258,0.00025756433,0.000010017549,0.00007473151,0.001457139,0.99707484,0.00000819625],"about_ca_topic_score_codex":0.53303665,"about_ca_topic_score_gemma":0.7992381,"teacher_disagreement_score":0.46696335,"about_ca_system_score_codex":0.028927693,"about_ca_system_score_gemma":0.027631361,"threshold_uncertainty_score":0.9394268},"labels":[],"label_agreement":null},{"id":"W7070667012","doi":"","title":"Pioneer Power Increases Revenue 149% during the Second Quarter to a Record $12.1 Million; Gross Profit Increases to $2.7 Million, Achieving a 22% Gross Margin","year":2023,"lang":"en","type":"other","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Profit margin; Gross margin; Revenue; Margin (machine learning); Gross profit","score_opus":0.008303951607101647,"score_gpt":0.22076501294525328,"score_spread":0.21246106133815162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070667012","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057700253,0.0004207263,0.00067047274,0.0029717397,0.0017189156,0.00011659762,0.008411341,0.0018656456,0.97805446],"genre_scores_gemma":[0.009444129,0.00052964326,0.00037447427,0.0005166348,0.00028342474,0.00003007648,0.0035071159,0.00033436838,0.98498017],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996112,0.000011984806,0.000004449022,0.000033076347,0.00025673737,0.00008261901],"domain_scores_gemma":[0.9996239,0.000024382509,0.000015014725,0.000023476532,0.00018336005,0.00012981411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000300321,0.00072529877,0.00022259116,0.0009392563,0.001239306,0.0020603547,0.0005965653,0.0011459138,0.24326949],"category_scores_gemma":[0.0009824637,0.00026797497,0.00044949172,0.0007128117,0.0004827984,0.0010530977,0.0010474639,0.0016041701,0.16112562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006768248,0.00006465585,0.00053023285,0.00005094331,0.0000033157205,0.00007636907,0.000020363075,0.00016592926,0.0011831985,0.003265349,0.95158863,0.0429833],"study_design_scores_gemma":[0.00002737426,0.000039990155,0.0036283997,0.000024883888,0.0000023326575,0.00007418903,0.000037857266,0.0003044594,0.000705369,0.00043352248,0.99471515,0.000006480229],"about_ca_topic_score_codex":0.03880334,"about_ca_topic_score_gemma":0.08801208,"teacher_disagreement_score":0.24326949,"about_ca_system_score_codex":0.0017025329,"about_ca_system_score_gemma":0.0025498923,"threshold_uncertainty_score":0.8138175},"labels":[],"label_agreement":null},{"id":"W7070724395","doi":"","title":"The Preacher and Pelican Sculpture","year":2021,"lang":"en","type":"article","venue":"UND Scholarly Commons (University of North Dakota)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sculpture; Tribute; State (computer science); World War II; Spanish Civil War; Key (lock); Pelican; Painting","score_opus":0.01134953690738345,"score_gpt":0.18492555540412015,"score_spread":0.1735760184967367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070724395","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18608207,0.009793432,0.00022487406,0.02257722,0.0013842488,0.000050466384,0.00030222477,0.000066101886,0.77951944],"genre_scores_gemma":[0.44203207,0.0054044407,0.0001577698,0.0031578408,0.00020332776,0.000017363063,0.00010586831,0.00004746121,0.5488738],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99978465,0.000035203677,0.0000049511636,0.00002991232,0.000036589907,0.00010870996],"domain_scores_gemma":[0.99985063,0.000010284688,0.000008476517,0.0000060135308,0.000035859823,0.000088710425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015334877,0.00032280467,0.00016350899,0.0006264771,0.0096801855,0.0024837388,0.00024694004,0.0007384152,0.050383832],"category_scores_gemma":[0.0005136249,0.00018256163,0.00007636251,0.0004985532,0.0027300646,0.0009019536,0.0028871957,0.0015494616,0.004721709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013524183,0.00013305423,0.022612877,0.00030875378,0.000014521368,0.009650623,0.19018896,0.00006471065,0.0020229507,0.068732746,0.5208343,0.18530127],"study_design_scores_gemma":[0.0000017105211,0.000028115272,0.011001393,0.00015741328,0.0000019818865,0.0011287654,0.07073873,0.000014087851,0.000120333556,0.00036108503,0.9164402,0.0000061397714],"about_ca_topic_score_codex":0.07134375,"about_ca_topic_score_gemma":0.2943491,"teacher_disagreement_score":0.07134375,"about_ca_system_score_codex":0.0019405725,"about_ca_system_score_gemma":0.0015290697,"threshold_uncertainty_score":0.16855073},"labels":[],"label_agreement":null},{"id":"W7070772685","doi":"","title":"Resilience-Based Asset Management Framework for Pavement Maintenance and Rehabilitation","year":2022,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Asset management; Resilience (materials science); Asset (computer security); Investment (military); Quality (philosophy); Plan (archaeology); Set (abstract data type); Service (business); Dimension (graph theory); IT asset management","score_opus":0.01495631984562689,"score_gpt":0.27488965150637945,"score_spread":0.25993333166075255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070772685","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010632076,0.0019819546,0.94708014,0.003508796,0.00013863924,0.0003439952,0.0003904401,0.00024780352,0.03567619],"genre_scores_gemma":[0.5423122,0.002826422,0.44389153,0.00030527453,0.00019828479,0.0008323473,0.0005011711,0.000049301565,0.009083518],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891496,0.00037019167,0.000085413354,0.0002206762,0.00026873648,0.00014003868],"domain_scores_gemma":[0.99924505,0.00022692562,0.00016303413,0.000047455458,0.00021589019,0.00010162388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001936679,0.0010832357,0.0004999097,0.003012899,0.0009820594,0.0029144387,0.0025112366,0.0014238139,0.004228175],"category_scores_gemma":[0.0019550342,0.00028498736,0.0009953054,0.0015441087,0.002263007,0.0034525685,0.0030020087,0.0020657768,0.0006070675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010952508,0.0000710121,0.001839693,0.00019590715,0.000043146087,0.0002625989,0.00062777544,0.1174826,0.00083795877,0.8448965,0.00292922,0.030802686],"study_design_scores_gemma":[0.000009717778,0.00009215199,0.0024110342,0.0004223228,0.00006262825,0.00023745182,0.0016009429,0.513657,0.00057785574,0.43681714,0.044055264,0.00005652748],"about_ca_topic_score_codex":0.010524492,"about_ca_topic_score_gemma":0.011554081,"teacher_disagreement_score":0.010524492,"about_ca_system_score_codex":0.0032863894,"about_ca_system_score_gemma":0.003326999,"threshold_uncertainty_score":0.02384454},"labels":[],"label_agreement":null},{"id":"W7070782197","doi":"","title":"Photograph Album, 1906-1911","year":2024,"lang":"en","type":"other","venue":"Brock University Digital Repository (Brock University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Paraphernalia; Limiting; TSG101; Work (physics)","score_opus":0.0069582049009144645,"score_gpt":0.16760762753746136,"score_spread":0.16064942263654688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070782197","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013019731,0.002305587,0.00016070316,0.0012616502,0.008197744,0.00007321389,0.007326634,0.00026847908,0.97910404],"genre_scores_gemma":[0.0062120394,0.0011513297,0.00022751435,0.0002873652,0.0008366394,0.00003030968,0.0032990885,0.00020081863,0.987755],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998197,0.000014641619,0.000004878034,0.000037284284,0.00008136936,0.000042155574],"domain_scores_gemma":[0.9998306,0.000012324429,0.000007878365,0.000012708121,0.00008374268,0.000052639847],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023482059,0.00088452426,0.00026502227,0.0012573196,0.0028478953,0.0020487607,0.0004968766,0.0007466317,0.5837453],"category_scores_gemma":[0.0006583786,0.00030541417,0.00023769058,0.001129408,0.0003590966,0.0015618972,0.0013059357,0.0019050137,0.28252348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026557233,0.000006981725,0.00011086609,0.00004396146,6.5804795e-7,0.0000839768,0.00013275388,0.000011326278,0.00014245945,0.00080138334,0.9868717,0.011767424],"study_design_scores_gemma":[0.0000025394772,0.0000068675954,0.0010724154,0.000025474126,5.221431e-7,0.00005204771,0.00012305677,0.0000046589885,0.00004158654,0.00003943666,0.9986298,0.0000016737604],"about_ca_topic_score_codex":0.02005532,"about_ca_topic_score_gemma":0.07371001,"teacher_disagreement_score":0.5837453,"about_ca_system_score_codex":0.0021932735,"about_ca_system_score_gemma":0.0005295915,"threshold_uncertainty_score":0.59373677},"labels":[],"label_agreement":null},{"id":"W7070791259","doi":"","title":"A review fo anode catalysis in the direct methanol fuel cell","year":2006,"lang":"en","type":"article","venue":"NPARC","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Catalysis; Methanol; Anode; Fuel cells; Direct methanol fuel cell; Cathode","score_opus":0.009460787620527805,"score_gpt":0.21673553767909975,"score_spread":0.20727475005857196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070791259","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029397478,0.77188087,0.006426138,0.030532666,0.06080727,0.00030963923,0.0003924583,0.00015408438,0.10009943],"genre_scores_gemma":[0.07697868,0.616069,0.0044424213,0.007988069,0.029976351,0.0001354984,0.0005666577,0.00007995328,0.26376337],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993229,0.00011437182,0.00006554037,0.000101017424,0.00034472966,0.000051441017],"domain_scores_gemma":[0.9975828,0.00044219632,0.000109511304,0.000075748765,0.0016635981,0.0001261906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012816337,0.00031278812,0.000675849,0.0012676524,0.0007077212,0.0015022054,0.0007148011,0.0019038254,0.0129408315],"category_scores_gemma":[0.0025221328,0.00017106759,0.00033818377,0.00084376644,0.00033536964,0.0013150452,0.00035826804,0.00062098785,0.005096488],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004303428,0.00022313037,0.0014658954,0.008346512,0.00010781177,0.0012275056,0.00015739581,0.0003023548,0.02068652,0.004024646,0.16131964,0.8017082],"study_design_scores_gemma":[0.000044977194,0.00030751814,0.002539143,0.0006856546,0.00010382436,0.0012032683,0.00020771912,0.00036105845,0.011636835,0.0011108859,0.9817706,0.000028568722],"about_ca_topic_score_codex":0.001932398,"about_ca_topic_score_gemma":0.0039252965,"teacher_disagreement_score":0.0129408315,"about_ca_system_score_codex":0.0007166987,"about_ca_system_score_gemma":0.0016230769,"threshold_uncertainty_score":0.04329139},"labels":[],"label_agreement":null},{"id":"W7070796539","doi":"","title":"Revisiting the “Private Use Exception” to Canada’s Child Pornography Laws: Sexual Expression/Sexting, Control, Privacy, and Pleasure in the Digital Age","year":2019,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Child pornography; CLARITY; Pleasure; Supreme court; Pornography; Child protection; The Internet","score_opus":0.009324862103176434,"score_gpt":0.2030169624415264,"score_spread":0.19369210033834997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070796539","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31872532,0.010466402,0.0053703627,0.18147132,0.00062162103,0.00008916534,0.00036539734,0.00012753747,0.4827629],"genre_scores_gemma":[0.9274864,0.0033065085,0.0017184821,0.029680936,0.000090495356,0.000027423397,0.00007060143,0.00004041398,0.037578873],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99457055,0.0005805473,0.0001678268,0.00047097463,0.00252523,0.0016847474],"domain_scores_gemma":[0.99638027,0.0013853462,0.00026993675,0.00025101553,0.0012770168,0.00043644576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027696218,0.00026472023,0.00021263337,0.0008190153,0.019018468,0.008879996,0.0022166797,0.004885204,0.0022690713],"category_scores_gemma":[0.0055516963,0.00033280125,0.00032791114,0.0009405647,0.024882253,0.0029960875,0.003917904,0.0077812984,0.000153911],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015118849,0.000027773629,0.0070322934,0.000047772453,0.000006137776,0.0011245066,0.08874603,0.0002508728,0.000600601,0.84980106,0.026609747,0.025738113],"study_design_scores_gemma":[0.000024350747,0.00004239275,0.031457476,0.000823094,0.000047253532,0.0008722339,0.12158582,0.001088,0.0020946125,0.05774299,0.7840724,0.00014937953],"about_ca_topic_score_codex":0.9822243,"about_ca_topic_score_gemma":0.9900035,"teacher_disagreement_score":0.04267465,"about_ca_system_score_codex":0.04267465,"about_ca_system_score_gemma":0.102797434,"threshold_uncertainty_score":0.30962765},"labels":[],"label_agreement":null},{"id":"W7070823907","doi":"","title":"Probabilité et temps de fixation à lâaide de processus ancestraux","year":2014,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fixation (population genetics); Process dynamics; Limiting; Homogeneous","score_opus":0.0035521888545746254,"score_gpt":0.15158549923659123,"score_spread":0.14803331038201661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070823907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7922881,0.0037945323,0.18811402,0.0012027442,0.00024201829,0.000097779004,0.00157172,0.00038469592,0.012304442],"genre_scores_gemma":[0.93387556,0.0023777275,0.041640364,0.00024085892,0.00010551146,0.00020906299,0.002098182,0.000254863,0.019197844],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984484,0.0003341945,0.00008720538,0.00080306525,0.00021371177,0.000113347865],"domain_scores_gemma":[0.98907566,0.007827888,0.0009528347,0.0012451556,0.0006564782,0.00024195509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032642856,0.00059322815,0.00075162755,0.0015532521,0.0012529226,0.003313218,0.0011962827,0.0014212142,0.014249413],"category_scores_gemma":[0.0133863045,0.00058007817,0.0021846043,0.0012135671,0.0013800038,0.0025762292,0.001220031,0.0017978325,0.0016075791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013649277,0.00018891366,0.37423235,0.0014184939,0.00179598,0.001485054,0.0040313974,0.15131396,0.09422694,0.17999862,0.0035638048,0.1863796],"study_design_scores_gemma":[0.000103337814,0.0008625002,0.42113614,0.00039330134,0.0010118448,0.003174668,0.0018144683,0.31099665,0.05819022,0.14954317,0.05229089,0.00048280793],"about_ca_topic_score_codex":0.006577908,"about_ca_topic_score_gemma":0.006163124,"teacher_disagreement_score":0.014249413,"about_ca_system_score_codex":0.0022658233,"about_ca_system_score_gemma":0.00088259333,"threshold_uncertainty_score":0.047669053},"labels":[],"label_agreement":null},{"id":"W7070852312","doi":"","title":"Primoris Services Corporation Reports Third Quarter 2020 Results - Commodities (COMMODIT) News","year":2020,"lang":"en","type":"other","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Corporation; Quarter (Canadian coin); Payment; Revenue","score_opus":0.011349845655722331,"score_gpt":0.20714948986097545,"score_spread":0.19579964420525311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070852312","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011274673,0.000894637,0.00038549333,0.005533232,0.0058397753,0.000106966414,0.012914012,0.0013371968,0.9718612],"genre_scores_gemma":[0.0018481191,0.0005144206,0.00023486307,0.000988421,0.00028711717,0.000023496512,0.0048119267,0.00025165407,0.99104005],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99895597,0.00004189482,0.00002455004,0.0000747895,0.0007738109,0.00012897032],"domain_scores_gemma":[0.998629,0.00014525432,0.00005938602,0.000091256115,0.00072637375,0.00034875752],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001035732,0.0010760896,0.0004555247,0.0018213721,0.0013168148,0.008182718,0.00065786956,0.0025352512,0.46057194],"category_scores_gemma":[0.0027349489,0.00037651797,0.0007320341,0.0013303186,0.00047295337,0.0023939824,0.0010236148,0.0027741997,0.33087415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037858277,0.000029457582,0.00007332659,0.000027449814,0.0000012951032,0.000023776915,0.0000044361072,0.000025231247,0.00011537224,0.001523518,0.98562175,0.012516518],"study_design_scores_gemma":[0.000015748145,0.000022235443,0.00047177466,0.000032177726,0.0000026803818,0.000020187743,0.00002541543,0.00010033781,0.00023185977,0.00057837996,0.99849474,0.00000439584],"about_ca_topic_score_codex":0.018015567,"about_ca_topic_score_gemma":0.028164648,"teacher_disagreement_score":0.46057194,"about_ca_system_score_codex":0.0023991696,"about_ca_system_score_gemma":0.004542296,"threshold_uncertainty_score":0.7694286},"labels":[],"label_agreement":null},{"id":"W7070853075","doi":"","title":"Puulajivalinta kuusenjuurikäävän valtaamalle alueelle : vaihtoehtoiset uudistamismallit","year":2025,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Population; Quarter (Canadian coin)","score_opus":0.01825814362936075,"score_gpt":0.2467798498216833,"score_spread":0.22852170619232254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070853075","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07599565,0.007618659,0.007978962,0.037014246,0.0037704667,0.00014413022,0.00047635645,0.00050583953,0.86649567],"genre_scores_gemma":[0.30890906,0.0047225743,0.006365655,0.0053585507,0.00066790776,0.00016355113,0.0004415198,0.00083347893,0.6725377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99712163,0.00073847256,0.000108748354,0.0004892444,0.00089503493,0.00064684276],"domain_scores_gemma":[0.99758315,0.00064582465,0.00017024796,0.00017825131,0.0007258339,0.00069673243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021711218,0.0007008564,0.00056238234,0.0008822704,0.008480294,0.015792556,0.0014858001,0.0031015347,0.0787725],"category_scores_gemma":[0.0053270967,0.0005300435,0.0006317168,0.0008988048,0.0044117947,0.007892657,0.007162405,0.0050631417,0.020975597],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059317553,0.0004973233,0.011695109,0.001037381,0.00007251717,0.0029325977,0.17894664,0.00052471686,0.0070873788,0.3602791,0.19438563,0.24194841],"study_design_scores_gemma":[0.000008291969,0.000045959096,0.002407996,0.00033379404,0.000015786467,0.00031843423,0.031425755,0.0001574792,0.000984994,0.009490372,0.95477194,0.00003915514],"about_ca_topic_score_codex":0.016290683,"about_ca_topic_score_gemma":0.03968185,"teacher_disagreement_score":0.0787725,"about_ca_system_score_codex":0.004932812,"about_ca_system_score_gemma":0.0074352208,"threshold_uncertainty_score":0.26352024},"labels":[],"label_agreement":null},{"id":"W7070864965","doi":"","title":"Planification territoriale et lutte contre la pauvreté : étude de l'évolution des pratiques spatiales étatiques","year":2019,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Clientelism; Context (archaeology); Decentralization; Politics","score_opus":0.008445334226205678,"score_gpt":0.20947252919878223,"score_spread":0.20102719497257654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070864965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67279476,0.005563341,0.01919743,0.015799971,0.00012544813,0.0001465091,0.00062271266,0.00012341246,0.28562638],"genre_scores_gemma":[0.9769164,0.0013117711,0.0025094212,0.00018371131,0.000009946837,0.0000832489,0.00009792079,0.000029823937,0.018857807],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9980405,0.0008522338,0.000058417165,0.00033002472,0.00047089963,0.00024791437],"domain_scores_gemma":[0.9961599,0.002103818,0.0004477739,0.000257688,0.000812471,0.000218264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030630382,0.00027466565,0.00037042703,0.0013988981,0.005464634,0.005707496,0.0008662566,0.0007711602,0.010751836],"category_scores_gemma":[0.005941097,0.00023503047,0.0002572028,0.003256945,0.010757964,0.0037543061,0.0032448065,0.0014200244,0.0003313478],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003392503,0.000024850684,0.020670924,0.00038525998,0.000035520217,0.00032767744,0.5289572,0.001585413,0.0010164445,0.37103185,0.0039614355,0.0719695],"study_design_scores_gemma":[0.000012117517,0.000051256633,0.08433828,0.0007543538,0.000042065123,0.0001959598,0.45632887,0.0015567646,0.0007234493,0.027867334,0.42806187,0.000067563655],"about_ca_topic_score_codex":0.6188348,"about_ca_topic_score_gemma":0.7184276,"teacher_disagreement_score":0.3811652,"about_ca_system_score_codex":0.020988917,"about_ca_system_score_gemma":0.028158924,"threshold_uncertainty_score":0.76681995},"labels":[],"label_agreement":null},{"id":"W7070875337","doi":"","title":"Of research participants and population biobanks: Reciprocity as a conceptual basis to relational autonomy","year":2019,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Autonomy; Reciprocity (cultural anthropology); Duty; Paternalism; Individualism; Context (archaeology); Population; Interpretation (philosophy)","score_opus":0.1597200605853927,"score_gpt":0.41117398110056824,"score_spread":0.25145392051517557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070875337","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09006904,0.007738618,0.42871386,0.11122243,0.00090548967,0.0010072498,0.0001539637,0.0001630483,0.3600263],"genre_scores_gemma":[0.9433805,0.0020187777,0.039004065,0.004861013,0.00047064002,0.0013621046,0.000073844305,0.000068384754,0.008760585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.8438977,0.13358836,0.0036306384,0.006823413,0.009403469,0.0026564875],"domain_scores_gemma":[0.8976029,0.07528806,0.0091771,0.010452409,0.0047889613,0.002690585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09323716,0.00055247865,0.00088849757,0.0024482405,0.008816791,0.012506319,0.003294509,0.0061333845,0.00429355],"category_scores_gemma":[0.10821345,0.00089915603,0.00076639466,0.002036423,0.060807623,0.023514621,0.01585739,0.0068432037,0.0006826668],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011745239,0.000011895798,0.0006082731,0.000042376174,0.000007572268,0.00009881738,0.02917153,0.00010774948,0.000061823244,0.9651505,0.0004315417,0.0042962716],"study_design_scores_gemma":[0.000040015595,0.000056666056,0.0007143913,0.00028119027,0.000020718362,0.00053411734,0.011263778,0.00080702285,0.00016657478,0.93400717,0.0520704,0.000037888858],"about_ca_topic_score_codex":0.0021837137,"about_ca_topic_score_gemma":0.0012257268,"teacher_disagreement_score":0.09323716,"about_ca_system_score_codex":0.0050580376,"about_ca_system_score_gemma":0.007225081,"threshold_uncertainty_score":0.4930911},"labels":[],"label_agreement":null},{"id":"W7070886279","doi":"","title":"Replicating Success: A manual to alleviate poverty through peer training","year":2009,"lang":"en","type":"article","venue":"eCommons (Cornell University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Labour Organization; Innovation, Science and Economic Development Canada","keywords":"Grassroots; Apprenticeship; Poverty; Vocational education; Training (meteorology); Work (physics); Microfinance","score_opus":0.04393005932593881,"score_gpt":0.22799195519623405,"score_spread":0.18406189587029526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070886279","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018184572,0.0033852009,0.4163277,0.02558595,0.004183052,0.051138557,0.0132019315,0.058340468,0.40965256],"genre_scores_gemma":[0.022814838,0.0042119734,0.7530327,0.004008127,0.00065727124,0.03203725,0.007726596,0.00795406,0.16755718],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9884001,0.0046967915,0.0012090103,0.0005990996,0.0045354166,0.00055965595],"domain_scores_gemma":[0.9588358,0.026198875,0.001832607,0.0048937513,0.0065169237,0.0017220052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011746903,0.0019879427,0.00083244825,0.0050050146,0.003760623,0.003722271,0.0051778457,0.002669321,0.08780541],"category_scores_gemma":[0.03235072,0.0019153239,0.0012691118,0.0022722702,0.0035186803,0.007023758,0.00664475,0.0035497202,0.04883835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009795653,0.0008294726,0.00058514357,0.0010336384,0.000010410979,0.0005439954,0.009279748,0.0008193138,0.001978987,0.0140280975,0.5028493,0.467944],"study_design_scores_gemma":[0.00014490495,0.00028005365,0.0018675772,0.00091007596,0.000010838032,0.00080144865,0.002979908,0.0007611772,0.0011385679,0.0121660605,0.9788384,0.00010092734],"about_ca_topic_score_codex":0.0053493413,"about_ca_topic_score_gemma":0.011227492,"teacher_disagreement_score":0.08780541,"about_ca_system_score_codex":0.0034720828,"about_ca_system_score_gemma":0.0070054173,"threshold_uncertainty_score":0.29373837},"labels":[],"label_agreement":null},{"id":"W7070908373","doi":"","title":"Pratiques d'éthique organisationnelle et performance financière des entreprises canadiennes","year":2024,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pilotage; Work performance; Job performance","score_opus":0.007941533115827137,"score_gpt":0.1835987899557126,"score_spread":0.17565725683988548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070908373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885455,0.00094283314,0.0007237351,0.00039295692,0.00000850547,0.000026206637,0.00048669038,0.000011141591,0.008862514],"genre_scores_gemma":[0.9931914,0.0007005365,0.00060038874,0.000036089546,0.000014634686,0.000028391865,0.00047341376,0.000004188691,0.004950914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812764,0.0004549295,0.0000788228,0.00022018368,0.0007574061,0.0003610697],"domain_scores_gemma":[0.9837802,0.0061009424,0.005565316,0.0005990345,0.0029589634,0.0009955307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031174954,0.00042980356,0.0003979954,0.0019433331,0.0010603827,0.0027752356,0.0004358349,0.00049909455,0.004622407],"category_scores_gemma":[0.011272753,0.00023869141,0.0003883068,0.004065723,0.0009332475,0.0012977788,0.0010854194,0.0007265436,0.00046859198],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011191696,0.000066991895,0.9643671,0.00010238335,0.0001867895,0.00013187117,0.0062616584,0.0014461662,0.0005429561,0.0023542691,0.00050753466,0.02392038],"study_design_scores_gemma":[0.000002636564,0.000047165522,0.99141496,0.000035854446,0.000036261692,0.00002645456,0.0034217024,0.0006842011,0.00025855904,0.0003900701,0.0036664458,0.000015592794],"about_ca_topic_score_codex":0.27419835,"about_ca_topic_score_gemma":0.33210868,"teacher_disagreement_score":0.72580165,"about_ca_system_score_codex":0.0054455623,"about_ca_system_score_gemma":0.0048068226,"threshold_uncertainty_score":0.54520464},"labels":[],"label_agreement":null},{"id":"W7070981087","doi":"","title":"Registry declaration for the Vessel Lincoln","year":2022,"lang":"en","type":"other","venue":"Brock University Digital Repository (Brock University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Shore; Declaration; Legislation; New england","score_opus":0.011656366915298226,"score_gpt":0.1793260005300831,"score_spread":0.16766963361478487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070981087","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014550551,0.0015536313,0.009695165,0.024523564,0.013925248,0.0009344761,0.10346873,0.0024339925,0.8420102],"genre_scores_gemma":[0.009499437,0.002374283,0.00900559,0.009298939,0.0026559434,0.0025742298,0.09393148,0.002485487,0.86817455],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.990101,0.0024615186,0.0014219938,0.0016211277,0.0033552465,0.0010390898],"domain_scores_gemma":[0.97458196,0.004691586,0.0014008443,0.006085786,0.011632773,0.0016070029],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.011986353,0.0008989795,0.0011089034,0.0037851266,0.0043003554,0.009751715,0.0030626303,0.0036544376,0.29137656],"category_scores_gemma":[0.03161527,0.00083208544,0.00069499563,0.005486742,0.001760148,0.005882789,0.0036399863,0.00561034,0.27169663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006902466,0.000013923267,0.00024563866,0.0001593072,0.0000037771983,0.00008226593,0.0003070873,0.00004042968,0.0001439009,0.053895883,0.9328695,0.012169195],"study_design_scores_gemma":[0.000003844289,0.000003995286,0.00011445103,0.00006937239,0.0000017387988,0.00002655379,0.000076783705,0.000010605467,0.000048929025,0.0010425657,0.99859697,0.0000042218635],"about_ca_topic_score_codex":0.017520618,"about_ca_topic_score_gemma":0.017679434,"teacher_disagreement_score":0.7086234,"about_ca_system_score_codex":0.0034760248,"about_ca_system_score_gemma":0.014646978,"threshold_uncertainty_score":0.9747517},"labels":[],"label_agreement":null},{"id":"W7070985122","doi":"","title":"Quantifying the impact of non-pharmaceutical interventions on COVID-19 in Canada","year":2022,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Work (physics); Government (linguistics); MEDLINE; Data collection","score_opus":0.1475123904146099,"score_gpt":0.4627123794904531,"score_spread":0.3151999890758432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070985122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88982093,0.0049958257,0.0020702847,0.014494022,0.00036713423,0.00057656155,0.051835712,0.00016778505,0.035671677],"genre_scores_gemma":[0.96886104,0.0030822726,0.0024329033,0.0013285938,0.000038881204,0.0001994331,0.008335401,0.000045470737,0.015675982],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99536777,0.00061401847,0.00015831682,0.0003704556,0.0016188176,0.0018706417],"domain_scores_gemma":[0.99090517,0.0014799776,0.0006695485,0.0001847427,0.0048027337,0.001957765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002571192,0.00053132727,0.0008227155,0.0013131015,0.0025963096,0.0023659912,0.002219791,0.000964765,0.0051838965],"category_scores_gemma":[0.011393268,0.0003311337,0.0011555547,0.0027852934,0.0010867034,0.00053283176,0.0017310154,0.0018076227,0.00036110828],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028876807,0.0011671736,0.71919256,0.0014910678,0.0021577624,0.00045127736,0.0024300842,0.030023515,0.0018858608,0.01924567,0.06859606,0.15047136],"study_design_scores_gemma":[0.0001751247,0.00055324094,0.9387932,0.00047854544,0.0007098465,0.00004706666,0.0067776674,0.009966275,0.0020056972,0.001311653,0.03908798,0.00009358324],"about_ca_topic_score_codex":0.99820614,"about_ca_topic_score_gemma":0.9987589,"teacher_disagreement_score":0.14457802,"about_ca_system_score_codex":0.14457802,"about_ca_system_score_gemma":0.21379909,"threshold_uncertainty_score":0.99216825},"labels":[],"label_agreement":null},{"id":"W7071036470","doi":"","title":"Review: The Journal of Dramaturgy, volume 21, issue 2","year":2011,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Diafiltration; Liquation; Dysgeusia; Hyporeflexia; Fusible alloy; Pretext","score_opus":0.015656103946213955,"score_gpt":0.19852104347723337,"score_spread":0.18286493953101943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071036470","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013884991,0.82710093,0.00023839329,0.03295906,0.12286852,0.00016540382,0.00047912853,0.00013696175,0.015912775],"genre_scores_gemma":[0.0023358448,0.8660854,0.00046390353,0.03227851,0.067778245,0.00027673683,0.00091569487,0.000099174795,0.02976659],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99630547,0.00057606434,0.0005505669,0.00040990754,0.0018915164,0.0002663923],"domain_scores_gemma":[0.98749304,0.003377528,0.0010984779,0.00039515385,0.0064565353,0.0011794146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037933635,0.001818028,0.004183811,0.004958914,0.0017347059,0.009835924,0.0032328714,0.004614793,0.040776316],"category_scores_gemma":[0.014205341,0.0010528322,0.0014062973,0.0062390147,0.002327955,0.004172984,0.001846169,0.0054653496,0.02792546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038636685,0.000014474077,0.00006563871,0.0053846673,0.000060427483,0.000041403193,0.000024681889,0.000023466204,0.0001255729,0.0004315402,0.93849707,0.05529227],"study_design_scores_gemma":[0.000022661037,0.000019147203,0.0003133536,0.0034860922,0.000054097458,0.00012063104,0.00003956741,0.000017151382,0.000042434294,0.0002389741,0.995635,0.000010997422],"about_ca_topic_score_codex":0.0022466711,"about_ca_topic_score_gemma":0.0046201996,"teacher_disagreement_score":0.040776316,"about_ca_system_score_codex":0.0037961123,"about_ca_system_score_gemma":0.008719335,"threshold_uncertainty_score":0.13641036},"labels":[],"label_agreement":null},{"id":"W7071074961","doi":"","title":"Seeing Connections: Environmental History and Visual Culture","year":2010,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental history; Natural (archaeology); Event (particle physics); Visual culture; Natural history; Deep time; Environmental studies; Power (physics)","score_opus":0.00352896843692452,"score_gpt":0.16109437896947076,"score_spread":0.15756541053254625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071074961","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.081737585,0.01865377,0.0023713885,0.068392776,0.001901124,0.000021926862,0.00013143026,0.00007850065,0.8267115],"genre_scores_gemma":[0.94805825,0.007321688,0.0007059123,0.004559178,0.000466602,0.000026289714,0.000056515222,0.00007274034,0.038732752],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986681,0.00078550976,0.0000228287,0.0001274128,0.00019851585,0.00019775698],"domain_scores_gemma":[0.99875176,0.00058147515,0.000118856165,0.0000999306,0.00018083052,0.0002671539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013507155,0.0003260153,0.00017461074,0.0013130178,0.006622108,0.013299612,0.0005966284,0.0015225542,0.015450963],"category_scores_gemma":[0.0036005587,0.00019758193,0.00018722707,0.0015540482,0.021934021,0.010060586,0.0043120747,0.002682275,0.0008127913],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035094923,0.000036834488,0.0021455062,0.00017048571,0.000013116754,0.00026019593,0.32911578,0.00010165906,0.00041231958,0.5571478,0.05825958,0.0523016],"study_design_scores_gemma":[0.0000109559605,0.000028856604,0.0049638343,0.0004024803,0.000013550613,0.00029605406,0.28900713,0.00010807918,0.0003904859,0.08784946,0.6168965,0.000032568198],"about_ca_topic_score_codex":0.027604278,"about_ca_topic_score_gemma":0.045395292,"teacher_disagreement_score":0.027604278,"about_ca_system_score_codex":0.0053951503,"about_ca_system_score_gemma":0.0021319725,"threshold_uncertainty_score":0.054887235},"labels":[],"label_agreement":null},{"id":"W7071155283","doi":"","title":"Restorative Justice:\\nReflectionson Theory and Practice from within the Nova Scotia\\nCommunity UniversityResearch Alliance","year":2013,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Alliance; Nova scotia; Conceptualization; Restorative justice; Institutionalisation; Government (linguistics)","score_opus":0.03478595359611674,"score_gpt":0.2986956359732504,"score_spread":0.26390968237713364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071155283","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23646607,0.035746653,0.0014112382,0.38443476,0.0015137172,0.00010641197,0.0000833195,0.00006733052,0.3401705],"genre_scores_gemma":[0.9355094,0.011088399,0.00092097867,0.011784076,0.000128928,0.000051602958,0.00003625397,0.000026164778,0.040454306],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9948192,0.001983896,0.00016291327,0.00036884838,0.00095097505,0.0017141532],"domain_scores_gemma":[0.98730046,0.0047783446,0.000712068,0.000795857,0.0019873632,0.0044258637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006550442,0.00023734545,0.0003209053,0.0015173972,0.028279597,0.013833855,0.0018546017,0.0031817423,0.0051583946],"category_scores_gemma":[0.008718837,0.0003216944,0.00022382702,0.0024259444,0.02200405,0.0035834953,0.0085377125,0.0039020625,0.0003762123],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083799925,0.00026567915,0.020659639,0.00053391285,0.000029512783,0.0023453415,0.39259055,0.0003361761,0.0009076461,0.3127899,0.12305784,0.14640005],"study_design_scores_gemma":[0.000021780625,0.00005750203,0.04231859,0.0019454096,0.000019822617,0.0002979389,0.41109356,0.000252143,0.00044785766,0.02349107,0.5199982,0.000056121273],"about_ca_topic_score_codex":0.81134284,"about_ca_topic_score_gemma":0.9467372,"teacher_disagreement_score":0.18865716,"about_ca_system_score_codex":0.062411614,"about_ca_system_score_gemma":0.1280124,"threshold_uncertainty_score":0.45283008},"labels":[],"label_agreement":null},{"id":"W7071166580","doi":"","title":"Search for R-parity violating supersymmetry via the LLĒ couplings <sup>λ</sup>121, <sup>λ</sup>122 or <sup>λ</sup>133 in pp collisions at √ s = 1.96 TeV","year":2006,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Consejo Nacional de Investigaciones Científicas y Técnicas; Natural Sciences and Engineering Research Council of Canada; Fundação para o Desenvolvimento da UNESP; Centre National de la Recherche Scientifique; Institut National de Physique Nucléaire et de Physique des Particules; U.S. Department of Energy; Vetenskapsrådet; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Bildung und Forschung; Fundação de Amparo à Pesquisa do Estado de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Russian Foundation for Basic Research; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Federal Agency for Science and Innovation; Deutsche Forschungsgemeinschaft; Korea Science and Engineering Foundation; Western Canada Research Grid; Alexander von Humboldt-Stiftung; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Department of Science and Technology, Ministry of Science and Technology, India; Fermilab; National Science Foundation; Science Foundation Ireland; Secretaría de Ciencia y Técnica, Universidad de Buenos Aires","keywords":"Chargino; Neutralino; Gaugino; Tevatron; Supersymmetry; Collider Detector at Fermilab; Lepton; Pair production; Gluino; Superpartner","score_opus":0.016804715171155553,"score_gpt":0.2237022877911845,"score_spread":0.20689757262002895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071166580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99949586,0.000023318235,0.0001002778,0.000007346812,2.6106068e-7,0.0000014829867,0.000048918973,0.000005577499,0.00031693312],"genre_scores_gemma":[0.99905664,0.000043183034,0.00030061966,0.0000068475056,0.0000011049901,0.0000020079897,0.00024318398,0.0000017778355,0.00034466787],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999162,0.000018332177,0.0000042924044,0.000022022163,0.000021393851,0.000017757266],"domain_scores_gemma":[0.9996917,0.00011315993,0.00010544739,0.000020586209,0.000024207122,0.00004488751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025764777,0.00025742702,0.00015775513,0.0005846889,0.0003903401,0.00039205595,0.00026412425,0.00024643977,0.0011361322],"category_scores_gemma":[0.0004914908,0.00020493145,0.00008511698,0.0005405425,0.0002518717,0.0002491489,0.00018473295,0.00020721937,0.00030523018],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024692186,0.000436577,0.49593055,0.00009786758,0.000082901264,0.002709618,0.00042440605,0.0021710272,0.4817191,0.000866445,0.00033475546,0.012757445],"study_design_scores_gemma":[0.00017815942,0.0023705119,0.6965057,0.00001144572,0.00011003752,0.003839821,0.00053548283,0.008284629,0.28517172,0.0011625588,0.0017925448,0.000037347872],"about_ca_topic_score_codex":0.0015181336,"about_ca_topic_score_gemma":0.0026836505,"teacher_disagreement_score":0.0015181336,"about_ca_system_score_codex":0.00022079618,"about_ca_system_score_gemma":0.00016526389,"threshold_uncertainty_score":0.0038006902},"labels":[],"label_agreement":null},{"id":"W7071170251","doi":"","title":"Ten-year Trends in Physical Dating Victimization among Adolescent Boys and Girls in British Columbia, Canada","year":2018,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Institute of Gender and Health; Canadian Institutes of Health Research","keywords":"Population; Poison control; Circumstantial evidence; Context (archaeology); Limiting","score_opus":0.005530207464092629,"score_gpt":0.17496508188757753,"score_spread":0.1694348744234849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071170251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9755111,0.0021797137,0.00015712845,0.00078666565,0.000047368678,0.00007546796,0.015887212,0.00003931824,0.0053161345],"genre_scores_gemma":[0.98518187,0.0018809822,0.00031453918,0.0002216234,0.000009638777,0.0000775853,0.0075808247,0.000017343811,0.0047155847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919075,0.000058653623,0.000067852896,0.00012660475,0.00026401397,0.00029198386],"domain_scores_gemma":[0.9968239,0.00009317542,0.00034918982,0.00006284868,0.0020455532,0.000625294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062108494,0.0003936919,0.0005096042,0.002422341,0.003765618,0.0015852021,0.0022519245,0.0005247036,0.0029640603],"category_scores_gemma":[0.0017475744,0.000447392,0.00070479175,0.004053312,0.000553377,0.00055667275,0.001197417,0.00109873,0.00054303213],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029547962,0.000029067538,0.9899109,0.00004382346,0.00004858463,0.00008543514,0.0010767156,0.00007845833,0.00010749049,0.00008139732,0.0030945907,0.0054139374],"study_design_scores_gemma":[0.000002377618,0.0000072924263,0.9958033,0.000049618346,0.000017576684,0.000039431245,0.0025129055,0.0001404294,0.000036610254,0.000009221339,0.0013732826,0.000008045972],"about_ca_topic_score_codex":0.9977592,"about_ca_topic_score_gemma":0.99907386,"teacher_disagreement_score":0.023277523,"about_ca_system_score_codex":0.023277523,"about_ca_system_score_gemma":0.023718072,"threshold_uncertainty_score":0.16889101},"labels":[],"label_agreement":null},{"id":"W7071186288","doi":"","title":"Quick facts on Alberta’s climate change policy","year":2015,"lang":"en","type":"other","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"","score_opus":0.035918980997433146,"score_gpt":0.27068608360236,"score_spread":0.23476710260492686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071186288","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00274455,0.0022475044,0.0009621472,0.03139664,0.004386209,0.000114036164,0.02743598,0.0016262393,0.92908674],"genre_scores_gemma":[0.009240367,0.0010994776,0.0010165452,0.006307886,0.00039029503,0.000037394628,0.005569262,0.00025475895,0.97608405],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978243,0.00006832088,0.00003581306,0.00007170927,0.0015763656,0.00042357465],"domain_scores_gemma":[0.99722064,0.00032258834,0.000062441366,0.00013168145,0.0016800651,0.0005826321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017082057,0.00084405707,0.0003757012,0.0023356548,0.003739154,0.005864916,0.0016130767,0.0054432307,0.13269976],"category_scores_gemma":[0.0050651794,0.0005095165,0.00056414295,0.0020785597,0.0010819822,0.0012864071,0.0013581682,0.0034558384,0.023774361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016051888,0.0000145963695,0.00032298383,0.000018080147,0.0000020991497,0.000031328364,0.00002938131,0.00019453828,0.00004583476,0.0056447717,0.9851467,0.008533647],"study_design_scores_gemma":[0.000012544761,0.000005018744,0.0026040692,0.000043668544,0.0000036342367,0.000009464597,0.00010248421,0.00022547744,0.00012125468,0.0018353262,0.9950236,0.000013443029],"about_ca_topic_score_codex":0.9110692,"about_ca_topic_score_gemma":0.97178686,"teacher_disagreement_score":0.13269976,"about_ca_system_score_codex":0.023733929,"about_ca_system_score_gemma":0.048081413,"threshold_uncertainty_score":0.4439249},"labels":[],"label_agreement":null},{"id":"W7071191891","doi":"","title":"In the Rhythm of Cree Samba: transculturality and decolonization in Tomson Highway´s Theatre","year":2017,"lang":"en","type":"article","venue":"Repositorio Institucional de la Universidad de Huelva (Universidad de Huelva)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Decolonization; Poetics; Style (visual arts); Colonialism; Value (mathematics); Expression (computer science); Order (exchange); Openness to experience; Active listening","score_opus":0.009592386532875533,"score_gpt":0.2522598046680755,"score_spread":0.24266741813519999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071191891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6442793,0.002177409,0.005779535,0.007600142,0.0007021509,0.00009536597,0.000054196345,0.00015920702,0.33915266],"genre_scores_gemma":[0.97709,0.0002942707,0.0007232565,0.00033495802,0.000041977768,0.000027680195,0.0000147282335,0.0000891768,0.02138395],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9977648,0.0012781001,0.000032603606,0.00022890346,0.00024951407,0.00044604734],"domain_scores_gemma":[0.9988921,0.00039153575,0.00010191335,0.00015016897,0.00015274908,0.00031146695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018910654,0.0006114498,0.0003172655,0.00084407604,0.014384857,0.006465624,0.0010165849,0.0011900772,0.0061363326],"category_scores_gemma":[0.0036087413,0.00023453978,0.0002759834,0.00078388647,0.021330202,0.0026970573,0.00566084,0.0024424351,0.0004793068],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004663357,0.000024854213,0.0011633931,0.000082182036,0.000007420943,0.00048061073,0.9362921,0.00007578217,0.0019222348,0.0432186,0.0047697364,0.011916481],"study_design_scores_gemma":[0.0000149183825,0.000067302375,0.0038999151,0.00019504159,0.00001369774,0.0008286438,0.6815251,0.00022599967,0.0010002413,0.005046119,0.30714956,0.000033445576],"about_ca_topic_score_codex":0.06659638,"about_ca_topic_score_gemma":0.1578208,"teacher_disagreement_score":0.9334036,"about_ca_system_score_codex":0.0070190635,"about_ca_system_score_gemma":0.0034702027,"threshold_uncertainty_score":0.1324175},"labels":[],"label_agreement":null},{"id":"W7071195585","doi":"","title":"Sociological Explanations of Coronavirus Incidence Rates in Kentucky Counties","year":2023,"lang":"en","type":"article","venue":"Murray State's Digital Commons (Murray State University)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Incidence (geometry); Poverty; Educational attainment; Politics; Quarter (Canadian coin)","score_opus":0.03233459836653168,"score_gpt":0.2395838427925112,"score_spread":0.2072492444259795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071195585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922019,0.00020720085,0.00043114385,0.0015684941,0.00001802634,0.000009726558,0.00023923682,0.000008292983,0.0053160116],"genre_scores_gemma":[0.99946505,0.000041983258,0.00008564494,0.000037881397,0.000008658342,0.000006183673,0.00006337264,0.000002224066,0.00028888744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913627,0.00033636566,0.000054220123,0.00012952194,0.0001484124,0.00019530967],"domain_scores_gemma":[0.99432915,0.0022637125,0.0019236316,0.00034727805,0.00072148093,0.00041474888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001282948,0.00011206054,0.00017197103,0.002079271,0.0016418777,0.0014051562,0.0005549203,0.00031315067,0.0033355372],"category_scores_gemma":[0.010467624,0.0001851364,0.00025045787,0.0013084761,0.0013015597,0.00079005375,0.0013681314,0.00048438043,0.00014082184],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004583052,0.00004074152,0.9835133,0.000014659774,0.000020107942,0.00018900035,0.0047422512,0.0004731229,0.00013082985,0.0059235594,0.0006099796,0.004296608],"study_design_scores_gemma":[0.000005782869,0.000020506644,0.98318774,0.000025129124,0.00000836013,0.00005706175,0.011213641,0.0007939542,0.00007550722,0.0028283482,0.0017724537,0.0000114779705],"about_ca_topic_score_codex":0.14483905,"about_ca_topic_score_gemma":0.17378165,"teacher_disagreement_score":0.14483905,"about_ca_system_score_codex":0.003259909,"about_ca_system_score_gemma":0.0014171934,"threshold_uncertainty_score":0.287992},"labels":[],"label_agreement":null},{"id":"W7071275944","doi":"","title":"Scott Park Summer Postcard, New Hamburg Canada","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Flood myth; George (robot); National park; Work (physics)","score_opus":0.005278913071262653,"score_gpt":0.17273256302639697,"score_spread":0.16745364995513431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071275944","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00079943944,0.0007940716,0.00008736366,0.0011963288,0.0017103784,0.00004986108,0.0059447214,0.00028236347,0.9891354],"genre_scores_gemma":[0.00085983734,0.00027092337,0.000033721248,0.000082682214,0.000042757983,0.000006722904,0.0007973922,0.000079755235,0.99782616],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996239,0.000013373859,0.000009925594,0.000059526083,0.0001879299,0.00010540594],"domain_scores_gemma":[0.9991019,0.000031066826,0.000018538698,0.000057757763,0.00042722083,0.0003635343],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002887204,0.00086792774,0.0004708991,0.0009187471,0.004617582,0.004433822,0.0008591122,0.0010508442,0.82278603],"category_scores_gemma":[0.00087859185,0.00042968724,0.0002451789,0.0020517157,0.0005586088,0.0016779508,0.0020517576,0.001143083,0.5017988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014109636,0.000010930776,0.00013254213,0.000017443706,5.2344825e-7,0.000036300655,0.000027002325,0.00002084263,0.00006257315,0.00073305046,0.98362654,0.0153183285],"study_design_scores_gemma":[0.0000024542308,0.0000027509632,0.0007726028,0.00001987801,3.575937e-7,0.000011359433,0.000111192225,0.0000105698045,0.000023125689,0.00005254077,0.9989905,0.0000025818347],"about_ca_topic_score_codex":0.3851635,"about_ca_topic_score_gemma":0.7791303,"teacher_disagreement_score":0.6148365,"about_ca_system_score_codex":0.0041939216,"about_ca_system_score_gemma":0.007905866,"threshold_uncertainty_score":0.76584315},"labels":[],"label_agreement":null},{"id":"W7072149036","doi":"","title":"White Paper - North Water Polynya Conference","year":2019,"lang":"en","type":"book","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"","score_opus":0.010356126497816696,"score_gpt":0.1757740166969578,"score_spread":0.1654178901991411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7072149036","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012059686,0.003092246,0.000364512,0.003700692,0.00431883,0.00005921544,0.0012523197,0.00016520736,0.98584104],"genre_scores_gemma":[0.00043948976,0.0003615144,0.000044168915,0.00006976215,0.000039408365,0.00000355761,0.00009548614,0.00003556916,0.998911],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998473,0.0000080957225,0.0000039646065,0.000026441716,0.00008507851,0.000029081506],"domain_scores_gemma":[0.9998035,0.000012411956,0.0000046479095,0.000017831895,0.00011025582,0.000051387433],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033087714,0.00066172803,0.00031831683,0.00087430107,0.00224892,0.002959398,0.0005530746,0.0010319435,0.4005132],"category_scores_gemma":[0.00042871575,0.0003017638,0.0002779941,0.0015870974,0.0005177497,0.0013871448,0.0013681574,0.0014877652,0.1461313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003008014,0.000019173656,0.00017906216,0.000060306906,0.0000024085589,0.000041693693,0.000048250677,0.000119473065,0.0002396418,0.0029695,0.9384027,0.057887666],"study_design_scores_gemma":[0.000001745848,0.000003149544,0.0004310039,0.000020504687,6.464476e-7,0.000006702873,0.000034342298,0.000036681755,0.00006228077,0.00040568327,0.9989955,0.0000018199779],"about_ca_topic_score_codex":0.14120759,"about_ca_topic_score_gemma":0.4441762,"teacher_disagreement_score":0.4005132,"about_ca_system_score_codex":0.0040505277,"about_ca_system_score_gemma":0.0045997654,"threshold_uncertainty_score":0.85509515},"labels":[],"label_agreement":null},{"id":"W7095007429","doi":"10.1016/j.mineng.2025.109858","title":"Feasibility assessment of integrated optical and X-ray transmission (XRT) sorting for quartz-vein tungsten ores","year":2025,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China","keywords":"Sorting; RGB color model; Quartz; Tungsten; Grayscale; Sorting algorithm","score_opus":0.012790362249644027,"score_gpt":0.27631121721418866,"score_spread":0.26352085496454464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095007429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96764195,0.00022860555,0.029277716,0.00013833558,0.00004317281,0.00021095951,0.00014921982,0.00032488236,0.0019851672],"genre_scores_gemma":[0.92748934,0.0002454703,0.06877847,0.00007954,0.0000131684255,0.00007147177,0.00017781598,0.000031836076,0.0031128312],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99935955,0.000056923585,0.000029244746,0.0001072157,0.00036859603,0.000078476005],"domain_scores_gemma":[0.9992679,0.00011910168,0.0000727369,0.000044403005,0.00044234048,0.00005355386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001240452,0.00031349447,0.00042261503,0.0003833051,0.0005121861,0.0011802219,0.0007473254,0.00093558326,0.0013072559],"category_scores_gemma":[0.0009870887,0.00026490074,0.00047604303,0.0003002692,0.00040612297,0.0007159601,0.0005200972,0.00032815005,0.00043201106],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053653255,0.00017811525,0.0036206332,0.00013786499,0.00001586829,0.00006199779,0.000065056636,0.0010856494,0.9829915,0.00023120057,0.00014809286,0.010927368],"study_design_scores_gemma":[0.00007466644,0.0015876646,0.0076830992,0.000012831502,0.00007710592,0.00015401952,0.00024061397,0.019747032,0.9679666,0.00011358908,0.002316498,0.000026203463],"about_ca_topic_score_codex":0.0036381276,"about_ca_topic_score_gemma":0.008565726,"teacher_disagreement_score":0.0036381276,"about_ca_system_score_codex":0.00096625753,"about_ca_system_score_gemma":0.0017351172,"threshold_uncertainty_score":0.007233858},"labels":[],"label_agreement":null},{"id":"W7095702544","doi":"","title":"© 2014 AAG/The Geological Society of London Evaluation of portable X-ray fluorescence (pXRF) in exploration and mining: Phase 1, control reference materials","year":2014,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Suite; Replicate; Strengths and weaknesses; Soil water; Spurious relationship; Instrumentation (computer programming)","score_opus":0.0498075727308853,"score_gpt":0.2857117303330579,"score_spread":0.23590415760217262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095702544","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03096029,0.01830062,0.022011198,0.009841589,0.003909625,0.0006308229,0.024151811,0.0017038262,0.88849026],"genre_scores_gemma":[0.15857975,0.020488523,0.060368415,0.0011768346,0.00029864462,0.00041967112,0.014698958,0.001127752,0.7428414],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977464,0.00037248383,0.00019862072,0.00026128176,0.001272945,0.00014832811],"domain_scores_gemma":[0.99622846,0.00029284687,0.0003127135,0.000989616,0.0019883933,0.00018802423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036720396,0.0005072433,0.0005263524,0.0038109226,0.0011925561,0.003191236,0.0010897513,0.0018120498,0.09201274],"category_scores_gemma":[0.0033343486,0.0004959823,0.00024765305,0.0042534475,0.0018474418,0.0020275794,0.0020774947,0.0009812439,0.0422141],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033672602,0.000057204612,0.012373074,0.0013271667,0.00004078708,0.0007178102,0.0006885755,0.0019804703,0.017670473,0.026583917,0.28848973,0.649734],"study_design_scores_gemma":[0.000012260561,0.00006262515,0.007673854,0.00022714284,0.000008099255,0.0004816591,0.00034139762,0.00028234193,0.0030557937,0.0014364799,0.98640543,0.000013037466],"about_ca_topic_score_codex":0.053881686,"about_ca_topic_score_gemma":0.120256186,"teacher_disagreement_score":0.09201274,"about_ca_system_score_codex":0.0036835873,"about_ca_system_score_gemma":0.0053350944,"threshold_uncertainty_score":0.3078133},"labels":[],"label_agreement":null},{"id":"W7100478440","doi":"","title":"Site Web: www.stat.gouv.qc.ca","year":2002,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"International agency; International relations; Context (archaeology); Ministry of Foreign Affairs","score_opus":0.012893827976210751,"score_gpt":0.18959770070949397,"score_spread":0.17670387273328322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100478440","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004932669,0.0003591512,0.004087917,0.0011078112,0.00020251752,0.000121858844,0.89419514,0.022894317,0.07653809],"genre_scores_gemma":[0.013876455,0.0007611341,0.010729618,0.0010034533,0.00022579086,0.00069550873,0.7694702,0.030665329,0.17257246],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99828243,0.00019843482,0.00012887365,0.0002836155,0.00074417354,0.00036254947],"domain_scores_gemma":[0.9875294,0.003429127,0.00064463133,0.0022577762,0.004712045,0.0014269102],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002061362,0.001090013,0.0019430141,0.005961761,0.0011433188,0.0046065254,0.00335082,0.001553747,0.7218964],"category_scores_gemma":[0.01613758,0.0021121637,0.0012070087,0.011522088,0.00062339514,0.0024410298,0.0019795885,0.002288241,0.536918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000384922,0.000021565147,0.0008076232,0.00010064918,0.00001687148,0.000007925086,0.00002326169,0.00019506477,0.00003916165,0.0015398496,0.9855564,0.011653111],"study_design_scores_gemma":[0.0003938396,0.000020737687,0.008417226,0.0002367714,0.00004248216,0.00005355943,0.00005692244,0.0020611244,0.00059699424,0.004230048,0.9838188,0.00007143262],"about_ca_topic_score_codex":0.56906664,"about_ca_topic_score_gemma":0.5221584,"teacher_disagreement_score":0.56906664,"about_ca_system_score_codex":0.005279315,"about_ca_system_score_gemma":0.013449511,"threshold_uncertainty_score":0.8669424},"labels":[],"label_agreement":null},{"id":"W7104253449","doi":"10.59429/ace.v8i4.5790","title":"Machine learning applications in ore grade estimation and blending optimization for modern mining","year":2025,"lang":"","type":"article","venue":"Applied Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Estimation; Key (lock); Big data; Control (management); Efficient energy use","score_opus":0.006795100467407351,"score_gpt":0.21908164886897263,"score_spread":0.21228654840156527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104253449","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016233092,0.2223888,0.7209605,0.010425788,0.0011361156,0.000099650446,0.0005027921,0.0015345792,0.026718691],"genre_scores_gemma":[0.39322898,0.25190938,0.3373423,0.0027209432,0.0025233326,0.00024907867,0.0011624567,0.0002559624,0.010607642],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918956,0.00025457976,0.00007441756,0.00017059628,0.0002751564,0.00003563151],"domain_scores_gemma":[0.997781,0.0015674161,0.00017866012,0.0001129569,0.0003194653,0.000040540766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017242818,0.00087185274,0.0010765807,0.0012632969,0.00027978385,0.0013274633,0.000879882,0.0013568791,0.0030020387],"category_scores_gemma":[0.0044447277,0.0003123778,0.0011863105,0.0025830762,0.000835878,0.0015376067,0.0009792588,0.0022167515,0.0011014396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007472302,0.00014712467,0.0059847725,0.003639869,0.00037523083,0.0003069393,0.00019835396,0.19464116,0.004396155,0.066586345,0.018493658,0.70515573],"study_design_scores_gemma":[0.00003289517,0.00027275828,0.0068561323,0.0016583282,0.0002013051,0.0005345349,0.00028397856,0.5735932,0.007317337,0.2087732,0.20034383,0.00013248059],"about_ca_topic_score_codex":0.0019058716,"about_ca_topic_score_gemma":0.002104407,"teacher_disagreement_score":0.0030020387,"about_ca_system_score_codex":0.0007611767,"about_ca_system_score_gemma":0.00085300714,"threshold_uncertainty_score":0.010042846},"labels":[],"label_agreement":null},{"id":"W7106218643","doi":"10.5840/teachphil20251119235","title":"Making the Mills Move","year":2025,"lang":"","type":"article","venue":"Teaching Philosophy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Soul; Intellect; Honor; Reading (process); Teaching philosophy; Moral philosophy; Process (computing)","score_opus":0.032578474550080706,"score_gpt":0.2980421623334128,"score_spread":0.26546368778333207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106218643","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08024468,0.005677223,0.0317153,0.27065977,0.014199698,0.00018143651,0.00006667589,0.00070379156,0.5965514],"genre_scores_gemma":[0.6906122,0.003154299,0.020455679,0.028314203,0.0017226988,0.00013849707,0.000035538476,0.00033145805,0.25523546],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954352,0.002335091,0.00007299383,0.0005971289,0.0010480657,0.0005115596],"domain_scores_gemma":[0.99704343,0.0009903202,0.00025255608,0.0002253249,0.00047830812,0.0010100306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042757434,0.00039418502,0.00016435071,0.00069824763,0.011128529,0.006612573,0.0007969703,0.0024409066,0.009138948],"category_scores_gemma":[0.008446178,0.00031444515,0.00019220366,0.00046919982,0.01481621,0.005547323,0.0057895873,0.006141971,0.0019656443],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005728091,0.00008209276,0.0016926072,0.00009113622,0.0000041842177,0.00025968757,0.06141074,0.0002140657,0.00084769574,0.673918,0.18254367,0.07887885],"study_design_scores_gemma":[0.000009947071,0.00006078526,0.00061996613,0.00012389198,0.0000037835925,0.00014984528,0.021415735,0.00022427972,0.00082236255,0.050122324,0.92643076,0.000016289776],"about_ca_topic_score_codex":0.006735145,"about_ca_topic_score_gemma":0.022080034,"teacher_disagreement_score":0.011128529,"about_ca_system_score_codex":0.0075241923,"about_ca_system_score_gemma":0.0070883725,"threshold_uncertainty_score":0.054592073},"labels":[],"label_agreement":null},{"id":"W7111185793","doi":"10.1051/epjconf/202534010010/pdf","title":"Can we study particle breakage in tomography images","year":2025,"lang":"en","type":"article","venue":"Springer Link (Chiba Institute of Technology)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Breakage; Tracking (education); Particle (ecology); Computed tomography; Particle-size distribution; Compression (physics); Particle size","score_opus":0.008531460910805647,"score_gpt":0.23213556056665732,"score_spread":0.22360409965585168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111185793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6703718,0.0016809833,0.31804904,0.00086105056,0.0001808278,0.00012763623,0.0006257627,0.0013642085,0.0067387177],"genre_scores_gemma":[0.9278957,0.0008795949,0.06722753,0.0001453633,0.000046458554,0.000050473445,0.0005242932,0.00022387451,0.0030066897],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982363,0.000016645981,0.000007966693,0.00005267232,0.00005946948,0.000039678664],"domain_scores_gemma":[0.99931955,0.00017644781,0.00021599258,0.00010988174,0.00011622838,0.000061927254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036997985,0.00029408582,0.00036380262,0.0006836776,0.00020996816,0.0012574004,0.0006229194,0.0011428876,0.0022684648],"category_scores_gemma":[0.0021918078,0.00030651267,0.0002841558,0.00063671864,0.0005699639,0.0020839146,0.00037616317,0.0006088829,0.00068953895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005372467,0.000116065145,0.013735656,0.00041957208,0.00008060141,0.0009673678,0.00073612545,0.021766935,0.85328776,0.006973373,0.001720705,0.099658586],"study_design_scores_gemma":[0.000040920706,0.0003878885,0.062181205,0.00007411097,0.00012385748,0.0017524177,0.0009911836,0.34764647,0.5627613,0.009487259,0.014413682,0.0001396786],"about_ca_topic_score_codex":0.0017172791,"about_ca_topic_score_gemma":0.0013912421,"teacher_disagreement_score":0.0022684648,"about_ca_system_score_codex":0.0004083252,"about_ca_system_score_gemma":0.0002868858,"threshold_uncertainty_score":0.007588744},"labels":[],"label_agreement":null},{"id":"W7113436573","doi":"","title":"Full-Scale Slurry Tank Sampling: Effects of Sampling Strategy and Sample Storage on Measured Physical and Chemical Properties","year":2025,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Interreg; Agencia Estatal de Investigación; European Regional Development Fund; Bundesamt für Energie; Wageningen University and Research; Agence de la transition écologique; Ministerie van Economische Zaken en Klimaat; Ministry of Science and ICT, South Korea; European Agricultural Fund for Rural Development; Innosuisse - Schweizerische Agentur für Innovationsförderung; Staatssekretariat für Bildung, Forschung und Innovation; Région Bretagne; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; Agriculture and Agri-Food Canada; Hainan University; National Research Foundation; Vlaamse regering; Norges Forskningsråd; Bundesamt für Umwelt; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Rural Development Administration; Universidad Politécnica de Madrid; Regione Lombardia; Embrapa Florestas; Ministry of Agriculture, Forestry and Fisheries; Major Science and Technology Projects in Yunnan Province; National Natural Science Foundation of China; National Research Foundation of Korea; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Ministry of Environment; Chinese Academy of Sciences; Lietuvos Mokslo Taryba; Svenska Forskningsrådet Formas; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; European Commission; Fundação de Amparo à Pesquisa do Estado de São Paulo; Natural Environment Research Council; U.S. Department of Agriculture; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Teagasc; National Science Foundation; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Science Foundation Ireland; Xunta de Galicia; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Agroscope; Geraldine R. Dodge Foundation; Department for Environment, Food and Rural Affairs, UK Government; Natural Resources Conservation Service; Grønt Udviklings- og Demonstrations Program; Bundesamt für Landwirtschaft; National Institute of Food and Agriculture; Ministerio de Ciencia, Innovación y Universidades; Fundação para a Ciência e a Tecnologia; Università degli Studi di Milano; Innovationsfonden; Grain Farmers of Ontario; Agence Nationale de la Recherche; Bundesministerium für Ernährung und Landwirtschaft; Department of Agriculture, Environment and Rural Affairs, UK Government; Comunidad de Madrid; Ministeriet for Fø devarer, Landbrug og Fiskeri; Biotechnology and Biological Sciences Research Council; Ministerio de Ciencia, Tecnología e Innovación Productiva; Department of Agriculture, Food and the Marine, Ireland; Ministerio de Ciencia e Innovación; Northwestern University; Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria","keywords":"Slurry; Sampling (signal processing); Sample (material); Storage tank","score_opus":0.02389361548493818,"score_gpt":0.24504543959617653,"score_spread":0.22115182411123835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113436573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9733185,0.00026639117,0.023981929,0.00009066616,0.00006607682,0.00024369084,0.00092208677,0.00027948615,0.00083119964],"genre_scores_gemma":[0.95108825,0.00027965926,0.04463599,0.00019948963,0.000019481431,0.00032530108,0.0012604971,0.00014414376,0.0020471374],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992912,0.00011270831,0.00007619305,0.00018676871,0.00027877383,0.00005426433],"domain_scores_gemma":[0.9989497,0.00043684783,0.000104045335,0.0001482014,0.0003147118,0.000046489502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012859844,0.0003287215,0.0005855927,0.0001979872,0.00048789894,0.000885283,0.0005763524,0.000595417,0.0012685704],"category_scores_gemma":[0.0026560477,0.00030849714,0.000347818,0.00044664994,0.0002640525,0.00070460944,0.00046520133,0.00044783103,0.0004947808],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020122798,0.00036501707,0.009912273,0.00011180691,0.000040356455,0.00003110192,0.00008959809,0.00058672205,0.9715873,0.000040809275,0.00021586295,0.015006961],"study_design_scores_gemma":[0.00012357434,0.0024890937,0.09884535,0.000018271143,0.00017347283,0.00010159638,0.00022191046,0.018963745,0.8765978,0.00014680596,0.002269536,0.000048840004],"about_ca_topic_score_codex":0.008295128,"about_ca_topic_score_gemma":0.020023914,"teacher_disagreement_score":0.008295128,"about_ca_system_score_codex":0.00046696598,"about_ca_system_score_gemma":0.0010063162,"threshold_uncertainty_score":0.016493678},"labels":[],"label_agreement":null},{"id":"W7115172295","doi":"10.18280/isi.301006","title":"Machine Learning in Geometallurgy: A Review of Advances and Case Studies from Peru's Mining Sector","year":2025,"lang":"","type":"article","venue":"Ingénierie des systèmes d information","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universidad Nacional Mayor de San Marcos","keywords":"Feature (linguistics); Key (lock); Field (mathematics); Identification (biology)","score_opus":0.015769631409888466,"score_gpt":0.2620423569135585,"score_spread":0.24627272550367002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115172295","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020327491,0.995375,0.00042753643,0.0008740998,0.000042575935,0.00002861735,0.00008964889,0.0000068802397,0.0011229481],"genre_scores_gemma":[0.01659388,0.98165923,0.000966091,0.00036660396,0.00007680486,0.000065415916,0.00011413243,0.0000048762513,0.00015298497],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969716,0.0012600766,0.000802045,0.00026544533,0.000580351,0.00012056292],"domain_scores_gemma":[0.9770576,0.0195649,0.0016279966,0.00022787828,0.0013963804,0.00012525474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053032804,0.00068134157,0.0013688006,0.010731836,0.00046176979,0.0023442463,0.0009400648,0.0013436467,0.0027990711],"category_scores_gemma":[0.015412188,0.0005048674,0.0014574432,0.015621175,0.00078947464,0.0022349302,0.0010670598,0.00080364314,0.0004045777],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012106731,0.000085029715,0.005527228,0.3112142,0.0008698884,0.0013969111,0.0022795717,0.00097020296,0.00064368953,0.00653694,0.007286759,0.66306853],"study_design_scores_gemma":[0.000044805332,0.00063892244,0.031479385,0.40808645,0.0036414014,0.00462779,0.0057609593,0.0012203123,0.0015366976,0.0058133015,0.5370328,0.000117143216],"about_ca_topic_score_codex":0.005105846,"about_ca_topic_score_gemma":0.01020929,"teacher_disagreement_score":0.010731836,"about_ca_system_score_codex":0.0020762892,"about_ca_system_score_gemma":0.005648381,"threshold_uncertainty_score":0.028046727},"labels":[],"label_agreement":null},{"id":"W7115710102","doi":"10.1016/j.mineng.2025.110023","title":"Particle-bed crushing work index modeling for HPGR energy consumption prediction via piston press testing","year":2025,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Grinding; Piston (optics); Work (physics); Energy consumption; Index (typography); Crusher","score_opus":0.029267267998306482,"score_gpt":0.22862894792003516,"score_spread":0.19936167992172868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115710102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84212816,0.00024938988,0.14419366,0.0001345976,0.000042681975,0.00007881879,0.0009541554,0.0020187204,0.010199789],"genre_scores_gemma":[0.9922294,0.0000642764,0.0053333733,0.000008812954,0.0000034423401,0.00002785833,0.00027874927,0.000056275803,0.001997781],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999013,0.000010232874,0.000005420968,0.000026573414,0.000041669915,0.000014848801],"domain_scores_gemma":[0.99975306,0.000115177456,0.000019122625,0.000029090637,0.000071475624,0.00001204265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019041805,0.00066635705,0.00058743043,0.0003942756,0.00033474324,0.0006007631,0.00090362324,0.0007181204,0.0024398654],"category_scores_gemma":[0.0005970954,0.00037952815,0.00052520295,0.00046401395,0.00022928778,0.0006546108,0.00032819292,0.00052886264,0.0006320607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077861005,0.00007650403,0.0032737472,0.000039569128,0.000014415617,0.000055930563,0.000022293854,0.9794632,0.0039824084,0.00023167014,0.00032229803,0.012440055],"study_design_scores_gemma":[0.0000018604331,0.000011210126,0.0006061126,7.738934e-7,0.0000020002599,0.0000023930345,0.0000029178702,0.9981907,0.0010810045,0.00004003192,0.000058826165,0.000002093749],"about_ca_topic_score_codex":0.03217465,"about_ca_topic_score_gemma":0.02342085,"teacher_disagreement_score":0.03217465,"about_ca_system_score_codex":0.00054225395,"about_ca_system_score_gemma":0.00063332607,"threshold_uncertainty_score":0.06397474},"labels":[],"label_agreement":null},{"id":"W7117257462","doi":"10.1016/j.conengprac.2025.106715","title":"Interval PIP-based Adaboost-ELM for stratigraphic lithology identification in open-pit coal mining process","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Science Fund for Distinguished Young Scholars of Hubei Province; Higher Education Discipline Innovation Project; Fundamental Research Funds for the Central Universities; China University of Geosciences; Natural Science Foundation of Hubei Province; Overseas Expertise Introduction Project for Discipline Innovation; National Natural Science Foundation of China","keywords":"Drilling; Feature (linguistics); Lithology; Measurement while drilling; Identification (biology); Feature extraction; Interval (graph theory); Process (computing)","score_opus":0.01278250356240817,"score_gpt":0.3044133143072388,"score_spread":0.2916308107448306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117257462","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15516683,0.0005978205,0.83410954,0.000121988334,0.00017152492,0.00007598347,0.0003971545,0.00612867,0.0032304926],"genre_scores_gemma":[0.80081457,0.00018445792,0.19323133,0.00014301161,0.000050387607,0.000111949616,0.0008385759,0.00020566117,0.004420103],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976474,0.000025633139,0.000012230104,0.000058429814,0.00008780066,0.000051058687],"domain_scores_gemma":[0.99975127,0.00006436449,0.000022877579,0.000018329503,0.00012665863,0.000016439568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047096895,0.0006028828,0.0007908888,0.00083201885,0.00030254995,0.0006552822,0.0013542294,0.0005448125,0.002779488],"category_scores_gemma":[0.00057952857,0.00035580478,0.00046028616,0.00070867216,0.00019279985,0.00072461826,0.0005670678,0.00057202077,0.0009249384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015555527,0.0005622411,0.0070044347,0.00020084193,0.00013228433,0.00015614487,0.00009711451,0.17522612,0.029172372,0.00078815076,0.005126901,0.7799778],"study_design_scores_gemma":[0.000011110055,0.0000508101,0.0019510773,0.000004877855,0.000015192191,0.00002796866,0.000020966085,0.99262834,0.004452409,0.00025196726,0.0005774578,0.0000078227995],"about_ca_topic_score_codex":0.0039018386,"about_ca_topic_score_gemma":0.004783739,"teacher_disagreement_score":0.0039018386,"about_ca_system_score_codex":0.00029650898,"about_ca_system_score_gemma":0.0006402157,"threshold_uncertainty_score":0.009298325},"labels":[],"label_agreement":null},{"id":"W7125784865","doi":"10.26634/jfet.20.4.22188","title":"The evolution of AI-based maintenance in gold processing mills","year":2025,"lang":"en","type":"article","venue":"i-manager’s Journal on Future Engineering and Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtime; Mill; Predictive maintenance; Emerging technologies; Preventive maintenance; Key (lock); Condition-based maintenance","score_opus":0.0018020445718624422,"score_gpt":0.19015032140267077,"score_spread":0.18834827683080832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125784865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57640946,0.056618724,0.20128231,0.01966302,0.0007169885,0.00030277707,0.0005302139,0.00251925,0.14195731],"genre_scores_gemma":[0.91490173,0.011541475,0.056885194,0.0007505967,0.00018430388,0.000047762253,0.00028793118,0.00013648592,0.0152644515],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987374,0.00014851382,0.00009112566,0.00024329068,0.0006612222,0.000118440774],"domain_scores_gemma":[0.99654275,0.0008931906,0.00047565173,0.00041862123,0.0014085645,0.00026117818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015815604,0.00034151605,0.0002213634,0.0016050334,0.00049600546,0.0022360021,0.0013081857,0.00070265174,0.0018729032],"category_scores_gemma":[0.003557205,0.00023781978,0.00023147112,0.0017951817,0.0013653297,0.0028705592,0.0011447852,0.00090317655,0.0004938499],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014443934,0.00016690823,0.018751757,0.0009560568,0.000046844805,0.00036072952,0.0014484896,0.01482026,0.014505389,0.036227036,0.006493819,0.90607834],"study_design_scores_gemma":[0.00006149738,0.0016825554,0.123975754,0.001479466,0.0001345076,0.0028091238,0.0051806094,0.17969593,0.04096562,0.049764574,0.59404147,0.00020884616],"about_ca_topic_score_codex":0.009628994,"about_ca_topic_score_gemma":0.008707107,"teacher_disagreement_score":0.009628994,"about_ca_system_score_codex":0.0032081555,"about_ca_system_score_gemma":0.0018626765,"threshold_uncertainty_score":0.023276925},"labels":[],"label_agreement":null},{"id":"W7132350068","doi":"","title":"New mineral sensing technologies for grade engineering® and coarse gangue rejection","year":2018,"lang":"en","type":"article","venue":"NPARC","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gangue; Mill; Scale (ratio); Resource (disambiguation); Emerging technologies","score_opus":0.012148219797107408,"score_gpt":0.2210582330420749,"score_spread":0.2089100132449675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132350068","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2705569,0.00845813,0.6508097,0.0019053374,0.000833467,0.0006274591,0.0010280162,0.004228625,0.061552342],"genre_scores_gemma":[0.64853686,0.0037835056,0.2917087,0.0015652908,0.0002027088,0.0002986135,0.0008796147,0.0002792477,0.052745547],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975465,0.000108845226,0.00007524548,0.00032098507,0.0018374458,0.00011087733],"domain_scores_gemma":[0.99850863,0.0003518497,0.00036828712,0.00019628851,0.0005063885,0.00006854419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00111842,0.0004942356,0.0003782014,0.0011018934,0.00028706228,0.0012704591,0.0011930253,0.0011990777,0.0035682435],"category_scores_gemma":[0.0015879793,0.00036047367,0.00054354896,0.00078680814,0.00064478617,0.0018873456,0.0010450648,0.0015121087,0.00207409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013051232,0.000050654875,0.0016396043,0.00033395414,0.000014094173,0.0001459003,0.0002321704,0.0006490967,0.88971305,0.005000151,0.0016208687,0.100469925],"study_design_scores_gemma":[0.000026481133,0.0007485156,0.006404595,0.000094329356,0.00004558548,0.0014809907,0.00025573096,0.0073264767,0.87845194,0.0028255365,0.10223242,0.00010744987],"about_ca_topic_score_codex":0.00071287015,"about_ca_topic_score_gemma":0.0016429285,"teacher_disagreement_score":0.0035682435,"about_ca_system_score_codex":0.00060093176,"about_ca_system_score_gemma":0.00044210846,"threshold_uncertainty_score":0.011936903},"labels":[],"label_agreement":null},{"id":"W7132868893","doi":"","title":"Automating Fracture Detection and RQD Calculation in Core Images Using Deep Learning","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hudbay Minerals (Canada)","funders":"","keywords":"Drill; Core (optical fiber); Fracture (geology); Ground truth; Deep learning; Precision and recall","score_opus":0.015355561713036744,"score_gpt":0.32161770164516,"score_spread":0.30626213993212326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132868893","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19907784,0.00057018397,0.7854689,0.00016854863,0.00009643479,0.00012708447,0.0015462941,0.010553355,0.0023913467],"genre_scores_gemma":[0.6008027,0.0003012564,0.3930473,0.0001982175,0.00002592318,0.000116483614,0.0028448328,0.00034657915,0.0023166938],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996648,0.00002172301,0.000024111636,0.0001162182,0.00011452437,0.000058686936],"domain_scores_gemma":[0.99947804,0.00011670801,0.00007979407,0.00007643337,0.00022021009,0.000028784934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006526719,0.000987407,0.00078630063,0.0015985805,0.00018882554,0.00082632183,0.0012287421,0.0005961526,0.0012929018],"category_scores_gemma":[0.0014501917,0.00043088046,0.0007801898,0.000763121,0.00026810553,0.0009372396,0.00093106134,0.00068776694,0.0008306769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003136259,0.00026206623,0.027265185,0.00035894618,0.00015685803,0.00025208527,0.00015705846,0.21033013,0.066862494,0.0014365189,0.006792413,0.68581265],"study_design_scores_gemma":[0.000011330438,0.0000549238,0.0048748343,0.0000234724,0.00002617759,0.00010472554,0.00003890211,0.9734675,0.018712781,0.001132381,0.0015324813,0.00002055506],"about_ca_topic_score_codex":0.0069466005,"about_ca_topic_score_gemma":0.014630002,"teacher_disagreement_score":0.0069466005,"about_ca_system_score_codex":0.0005658983,"about_ca_system_score_gemma":0.0009555867,"threshold_uncertainty_score":0.013812304},"labels":[],"label_agreement":null},{"id":"W7132954431","doi":"","title":"The Application of Machine Learning to Data Acquisition and Data Analysis in a Multi-Sensor Ore Sorting System","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Comminution; Sorting; Data acquisition; Energy consumption; Segmentation; Data set; Set (abstract data type); Sorting algorithm; Data processing","score_opus":0.040874626277282645,"score_gpt":0.36331447316315957,"score_spread":0.3224398468858769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132954431","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05251525,0.00018572951,0.94224465,0.00044415638,0.0000570963,0.0001341444,0.000071691335,0.002023702,0.0023236005],"genre_scores_gemma":[0.43451765,0.00020045563,0.5607287,0.00017603343,0.000035609122,0.00012870606,0.000103187296,0.00006321787,0.0040463586],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944955,0.000110002984,0.000042306514,0.00012328141,0.00022969245,0.00004518713],"domain_scores_gemma":[0.9993376,0.00034204466,0.000037535992,0.00006966779,0.00018331541,0.00002983742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082651706,0.00036907473,0.00045805518,0.0005505877,0.0004939486,0.0009527244,0.0006051248,0.0007988818,0.0014486216],"category_scores_gemma":[0.001596384,0.0003529058,0.0002727094,0.00062670314,0.00042570315,0.0007404143,0.0005630385,0.0006257876,0.00070396875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041534854,0.0004256139,0.005485266,0.0001602104,0.000070337155,0.00052293646,0.00036470173,0.22011982,0.12788168,0.0067251567,0.0025303876,0.63529855],"study_design_scores_gemma":[0.000009574616,0.0000788688,0.0011782895,0.000009164314,0.0000074130417,0.00007791078,0.000035435056,0.96810764,0.026600879,0.0014944106,0.0023867146,0.000013820806],"about_ca_topic_score_codex":0.0027253015,"about_ca_topic_score_gemma":0.0022649653,"teacher_disagreement_score":0.0027253015,"about_ca_system_score_codex":0.0006201495,"about_ca_system_score_gemma":0.0008114711,"threshold_uncertainty_score":0.0054188967},"labels":[],"label_agreement":null},{"id":"W7135349189","doi":"","title":"Contrôle qualité et détection de défauts pour les systèmes de triage industriel par l’utilisation de deep learning","year":2023,"lang":"fr","type":"dissertation","venue":"Dépôt Institutionnel de lUniversité de Tlemcen","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Francophone University Association","funders":"","keywords":"Deep learning; Artificial neural network","score_opus":0.023880852006058263,"score_gpt":0.25694088542771376,"score_spread":0.2330600334216555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135349189","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1808429,0.0017990719,0.8018258,0.0005370688,0.000314191,0.00015617094,0.00056245,0.008245043,0.0057172943],"genre_scores_gemma":[0.75416464,0.0010513263,0.23182775,0.00023394753,0.000073723335,0.00025453442,0.0007872016,0.0005300426,0.011076834],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900025,0.000093247676,0.0000491213,0.0003160991,0.0004036966,0.00013758132],"domain_scores_gemma":[0.99839276,0.00058192475,0.00018948619,0.00018381348,0.00057371013,0.00007836705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014394041,0.0014755103,0.0010059668,0.0010351706,0.0005967018,0.0020988008,0.0011208075,0.0012713507,0.0039421646],"category_scores_gemma":[0.0034955053,0.0007196838,0.0008995458,0.00065767777,0.00064458285,0.0018142135,0.000878316,0.0014720017,0.0013634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001231836,0.0003247377,0.020582376,0.00087904016,0.00022360352,0.00033168966,0.000742503,0.16363144,0.21975388,0.0036053571,0.0054487363,0.5832447],"study_design_scores_gemma":[0.000032244392,0.00037443283,0.01378787,0.00007090685,0.000071253584,0.00012392478,0.0001636169,0.8796187,0.09682486,0.0020815001,0.0067823664,0.000068320376],"about_ca_topic_score_codex":0.012655478,"about_ca_topic_score_gemma":0.016418086,"teacher_disagreement_score":0.012655478,"about_ca_system_score_codex":0.0015133814,"about_ca_system_score_gemma":0.0012356061,"threshold_uncertainty_score":0.02516359},"labels":[],"label_agreement":null},{"id":"W7159657271","doi":"10.1109/cac67268.2025.11486600","title":"RF-MLP Lithology Classification for Open-Pit Coal Mines Based on Non-Euclidean Graph Embedding","year":2025,"lang":"","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; China University of Geosciences; National Natural Science Foundation of China","keywords":"Coal mining; Embedding; Graph; Lithology; Pattern recognition (psychology); Coal","score_opus":0.03359897633183552,"score_gpt":0.3300268319041133,"score_spread":0.2964278555722778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7159657271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7925177,0.0011714421,0.19413249,0.0002843487,0.0001544225,0.000066771936,0.0021706535,0.003664094,0.0058379793],"genre_scores_gemma":[0.9604101,0.0002814273,0.032094672,0.000044879554,0.000053767868,0.000030830884,0.0027107853,0.00008472889,0.0042887474],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976176,0.000023811617,0.000013222697,0.000071178714,0.000063244,0.00006672066],"domain_scores_gemma":[0.99979573,0.000047015787,0.000020404046,0.000038092414,0.00008149571,0.00001724426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000285089,0.000575237,0.00049339636,0.0013355146,0.00026426456,0.0004620509,0.00065170287,0.0006263046,0.0015878961],"category_scores_gemma":[0.000525986,0.00015027769,0.0007250521,0.00092748296,0.0002324908,0.0005461088,0.00049904815,0.00038478954,0.0012356786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078673864,0.00030364716,0.028675646,0.00019820071,0.0002026402,0.0004095343,0.00010359756,0.09691347,0.06006208,0.00081537315,0.008576021,0.80295306],"study_design_scores_gemma":[0.00001810259,0.000099804194,0.040134594,0.000020190355,0.000086248874,0.00018891307,0.00014116966,0.941317,0.015256716,0.00087297807,0.0018386323,0.000025605548],"about_ca_topic_score_codex":0.0055024936,"about_ca_topic_score_gemma":0.008486395,"teacher_disagreement_score":0.0055024936,"about_ca_system_score_codex":0.0001931371,"about_ca_system_score_gemma":0.00036403455,"threshold_uncertainty_score":0.010940909},"labels":[],"label_agreement":null},{"id":"W7161759711","doi":"10.82308/5535","title":"Characterizing the gravity recoverable platinum group minerals","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Platinum group; Ball mill; Grinding; Platinum; Ball (mathematics); Specific gravity; Mineral","score_opus":0.014289895927198877,"score_gpt":0.22728768685944073,"score_spread":0.21299779093224186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161759711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9018449,0.00014388448,0.093129404,0.000062240666,0.000006580777,0.00015481873,0.00067700766,0.0004416689,0.0035394263],"genre_scores_gemma":[0.9686608,0.00026197446,0.027801652,0.000017492526,0.0000023029688,0.00009400443,0.0004955845,0.00004224676,0.002624049],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983394,0.000008982882,0.0000059577073,0.000058120844,0.00007538904,0.000017490915],"domain_scores_gemma":[0.99991167,0.00003077535,0.000022101975,0.000010968435,0.00002056046,0.0000039925644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018688285,0.00029539753,0.00023014085,0.0003211927,0.0001775964,0.00049789407,0.0005504901,0.00039501712,0.0008711544],"category_scores_gemma":[0.00037676014,0.00017082473,0.0003513048,0.00025778415,0.00020070521,0.00063063373,0.00021739077,0.0003360331,0.00026308728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015248271,0.00017360927,0.028188718,0.00027173187,0.000039935956,0.000165704,0.00011958818,0.22455026,0.6896224,0.001583666,0.00044542665,0.05468647],"study_design_scores_gemma":[0.000013993224,0.0002350553,0.017022463,0.0000092299415,0.000025160745,0.00007071374,0.00009040829,0.62728846,0.35198566,0.000651224,0.002593102,0.00001451654],"about_ca_topic_score_codex":0.007124093,"about_ca_topic_score_gemma":0.009343982,"teacher_disagreement_score":0.007124093,"about_ca_system_score_codex":0.00097510737,"about_ca_system_score_gemma":0.00068681425,"threshold_uncertainty_score":0.014165282},"labels":[],"label_agreement":null},{"id":"W7161944441","doi":"10.82308/26369","title":"The nature and origin of the bonanza-grade Brucejack epithermal Au-Ag deposit, northwestern British Columbia","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hydrothermal circulation; Precipitation; Flocculation; Solubility; Saturation (graph theory); Fluid inclusions","score_opus":0.005991032089819216,"score_gpt":0.21946259827374512,"score_spread":0.2134715661839259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161944441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93813246,0.0017628346,0.0003605607,0.0017843085,0.000041568666,0.000052615014,0.0008595394,0.00006645227,0.056939606],"genre_scores_gemma":[0.97687507,0.0007080309,0.00048087176,0.000264931,0.000005662332,0.000013316378,0.0002531014,0.000024246636,0.021374587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998055,0.0000071199374,0.00000669587,0.00005080455,0.00006311938,0.000066782595],"domain_scores_gemma":[0.99943465,0.0000398343,0.000040820887,0.00001265267,0.0003609861,0.000110971574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015629546,0.00025288042,0.0002072466,0.0016588316,0.005105396,0.0020998698,0.00087526714,0.0006788766,0.004658686],"category_scores_gemma":[0.0007804761,0.00033042164,0.00007313171,0.0014614473,0.0014231252,0.0004497176,0.00083825336,0.0005817239,0.0005236472],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046450814,0.00015181482,0.70148045,0.00048950745,0.000104886516,0.0070998203,0.018499311,0.0012864387,0.080597855,0.009930021,0.017830534,0.16206492],"study_design_scores_gemma":[0.000018200813,0.000032910084,0.92386264,0.0003007111,0.00003475769,0.000715881,0.015390609,0.0010266645,0.0038632422,0.00069361355,0.05399734,0.000063394305],"about_ca_topic_score_codex":0.9829064,"about_ca_topic_score_gemma":0.99619544,"teacher_disagreement_score":0.02027837,"about_ca_system_score_codex":0.02027837,"about_ca_system_score_gemma":0.009445917,"threshold_uncertainty_score":0.14713055},"labels":[],"label_agreement":null},{"id":"W7161985626","doi":"10.82308/34177","title":"Drill bit wear monitoring and failure prediction","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Forage; Drill bit; Bit (key); Drilling","score_opus":0.005549927455133851,"score_gpt":0.20855274504361457,"score_spread":0.2030028175884807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161985626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4940012,0.0026951747,0.48495352,0.00029288576,0.00019811434,0.0005378029,0.0047378787,0.0070145926,0.0055688582],"genre_scores_gemma":[0.9406473,0.0009506172,0.050007377,0.000043957763,0.000034443405,0.00024098944,0.002429429,0.000079319885,0.0055665867],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99910045,0.0000731825,0.00008715404,0.0002321414,0.0004182253,0.000088900466],"domain_scores_gemma":[0.9976478,0.0006460652,0.0006729496,0.00026223823,0.0006785472,0.00009247486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088070234,0.0018790236,0.0011971581,0.0027879553,0.00028931475,0.0009532152,0.0010384549,0.0010550703,0.0032918076],"category_scores_gemma":[0.003050843,0.00055651384,0.0008439405,0.0012113376,0.00028587613,0.00082119805,0.0007499605,0.00071549555,0.0014376275],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013850757,0.0003464567,0.14096648,0.0011536471,0.00023244525,0.0006633303,0.00030378278,0.25154454,0.039572302,0.0006268054,0.0060638674,0.55714136],"study_design_scores_gemma":[0.000032402975,0.0007085055,0.07020595,0.00010817393,0.00010154871,0.0004338548,0.00015619949,0.9064583,0.017140951,0.0008779567,0.0037070885,0.00006909096],"about_ca_topic_score_codex":0.0042401073,"about_ca_topic_score_gemma":0.005678501,"teacher_disagreement_score":0.0042401073,"about_ca_system_score_codex":0.00037042683,"about_ca_system_score_gemma":0.0006862391,"threshold_uncertainty_score":0.011012197},"labels":[],"label_agreement":null},{"id":"W7162006761","doi":"10.82308/20093","title":"Developing simple regressions for predicting gold gravity recovery in grinding circuit","year":2002,"lang":"en","type":"dissertation","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Grinding; Multilinear map; Fineness; Ball (mathematics); Logarithm; Gold ore; Specific gravity; Gravity separation","score_opus":0.04056720845232022,"score_gpt":0.2790782422199833,"score_spread":0.23851103376766306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162006761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5896282,0.0005451055,0.40046304,0.00029989367,0.000058562906,0.00033577354,0.003287548,0.0024253854,0.0029564663],"genre_scores_gemma":[0.90274423,0.00027014595,0.09105444,0.00006642593,0.000020042802,0.00028363074,0.0023525895,0.00015118234,0.0030573283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992467,0.00031007346,0.000044951856,0.00019701163,0.00012708301,0.00007419286],"domain_scores_gemma":[0.9950112,0.0038734574,0.00046056035,0.0001623799,0.00039974813,0.00009266512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026374261,0.0015135932,0.0009569625,0.001180381,0.00027820835,0.000788902,0.0014357625,0.0012265081,0.0033521068],"category_scores_gemma":[0.00898188,0.00076280796,0.0012897601,0.001233798,0.00030241613,0.0009537552,0.0006475664,0.0014595315,0.0015003326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071452414,0.00011158862,0.026152566,0.00006922361,0.000105209096,0.00004465437,0.000029165458,0.9488685,0.002198632,0.00053435954,0.0005238007,0.021290818],"study_design_scores_gemma":[0.000008189741,0.0000790115,0.0065581533,0.0000059902677,0.00001542363,0.000009939931,0.000019564124,0.991833,0.0008013243,0.00035367737,0.00030442845,0.000011247766],"about_ca_topic_score_codex":0.03319778,"about_ca_topic_score_gemma":0.026241025,"teacher_disagreement_score":0.03319778,"about_ca_system_score_codex":0.0011857259,"about_ca_system_score_gemma":0.0010698008,"threshold_uncertainty_score":0.066009104},"labels":[],"label_agreement":null},{"id":"W7162102666","doi":"10.82308/5002","title":"Accelerated Rock Breakage with Soundless Chemical Demolition Agents","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Breakage; Mixing (physics); Demolition; Compressed air; Phase (matter); Lime","score_opus":0.01715424940592089,"score_gpt":0.24852053237159016,"score_spread":0.23136628296566927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162102666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839745,0.0033640624,0.008945626,0.000082745704,0.00006028341,0.0000752665,0.00016865447,0.00022073393,0.0031082064],"genre_scores_gemma":[0.9845426,0.0018334383,0.009844246,0.000054275544,0.000013792151,0.000057050762,0.00015188805,0.000050150353,0.0034526084],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997603,0.000018650166,0.000013941193,0.000049868515,0.000117640215,0.000039598694],"domain_scores_gemma":[0.99985063,0.000029827552,0.00006381892,0.000012593542,0.00002333668,0.000019824709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019581728,0.00033829905,0.0002653737,0.0003944859,0.00013335502,0.00035244398,0.00032902628,0.000275075,0.0015528277],"category_scores_gemma":[0.00035885,0.00026134477,0.00039377224,0.00028334366,0.00016786502,0.00054514623,0.0003357025,0.0006752882,0.0004539231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019790916,0.00007724481,0.0003844214,0.00029889712,0.000016001062,0.000051468796,0.000053262815,0.0007245957,0.983602,0.0001693593,0.00016743841,0.0142574785],"study_design_scores_gemma":[0.00002567963,0.0006498586,0.0023181224,0.0000197203,0.000022164728,0.00006640316,0.00003369824,0.0022524362,0.99023694,0.000037184873,0.0043237205,0.000013915009],"about_ca_topic_score_codex":0.0004293159,"about_ca_topic_score_gemma":0.0012965291,"teacher_disagreement_score":0.0015528277,"about_ca_system_score_codex":0.00021024724,"about_ca_system_score_gemma":0.00014679504,"threshold_uncertainty_score":0.0051947236},"labels":[],"label_agreement":null},{"id":"W96029554","doi":"","title":"Remediation of soil and groundwater by vacuum-enhanced recovery.","year":2000,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Groundwater; Environmental remediation; Environmental science; Human decontamination; Hydrology (agriculture); Waste management; Water resource management; Geology; Contamination; Geotechnical engineering; Engineering","score_opus":0.007461671698426606,"score_gpt":0.17657745648379447,"score_spread":0.16911578478536787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W96029554","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032735944,0.94888777,0.0072823153,0.000710686,0.00022340166,0.00008468622,0.00014689092,0.000059476155,0.009868818],"genre_scores_gemma":[0.17244059,0.81102645,0.01046344,0.00056791137,0.00013930425,0.000070691625,0.00026341184,0.0000128658,0.005015379],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992042,0.00023000514,0.00007603907,0.00010449282,0.00032134162,0.00006388189],"domain_scores_gemma":[0.99955946,0.00015893395,0.000110104615,0.000013737067,0.00014752381,0.00001017756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007760248,0.0004912604,0.0006056481,0.0025660428,0.00032948423,0.0010111444,0.0005380569,0.0009018162,0.0010319754],"category_scores_gemma":[0.0006869206,0.00020060247,0.00058200373,0.0022987155,0.0002818983,0.00096356665,0.00035667673,0.000232662,0.00045520352],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001192647,0.00020380341,0.0022992766,0.0319343,0.00019645506,0.0018759574,0.00044721132,0.001907584,0.0882282,0.004725334,0.00672918,0.8613335],"study_design_scores_gemma":[0.00003142782,0.0019937865,0.013015263,0.0076478347,0.0007310209,0.009783409,0.0023090125,0.0027091287,0.19452263,0.0023069037,0.76483285,0.00011673589],"about_ca_topic_score_codex":0.0016252061,"about_ca_topic_score_gemma":0.0039127325,"teacher_disagreement_score":0.0025660428,"about_ca_system_score_codex":0.0005395015,"about_ca_system_score_gemma":0.00082006096,"threshold_uncertainty_score":0.004104078},"labels":[],"label_agreement":null}]}