{"meta":{"query_hash":"aaae1aa6725d","filters":{"venue":"Procedia CIRP"},"cohort_total":94,"direct_labels_cover":0,"predictions_cover":94,"exported":94,"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/aaae1aa6725d","api":"https://metacan.xera.ac/api/v1/cohort?venue=Procedia+CIRP"},"results":[{"id":"W1963690397","doi":"10.1016/j.procir.2014.07.077","title":"Process for Advanced Management and Technologies of Aircraft EOL","year":2015,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Manufacturing Process and Optimization","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":"Polytechnique Montréal","funders":"","keywords":"Dispose pattern; Scope (computer science); Engineering; Process (computing); Work (physics); Systems engineering; Manufacturing engineering; Risk analysis (engineering); Waste management; Business; Computer science; Mechanical engineering","score_opus":0.014016087044911318,"score_gpt":0.23176317012969763,"score_spread":0.21774708308478632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963690397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5873941,0.009751134,0.37493885,0.00057092437,0.0006901279,0.003322798,0.000034353598,0.0042052297,0.019092446],"genre_scores_gemma":[0.98831505,0.0001779102,0.011182938,0.0000053742724,0.000011294538,0.00019974161,0.0000045117317,0.0000165751,0.00008659997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99959856,7.250247e-7,0.00010579368,0.00010810106,0.000073241245,0.000113563256],"domain_scores_gemma":[0.99980295,0.000007745772,0.000025730273,0.00007699098,0.00006214717,0.000024429744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004578002,0.00007930625,0.000098611185,0.00006512931,0.000016019587,0.000008282118,0.000081480626,0.00004429774,0.0000010173259],"category_scores_gemma":[0.0000355393,0.00007455979,0.000010390758,0.00007633459,0.000020249105,0.00010626785,0.000020082594,0.000033088803,7.814078e-7],"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":[0.00015255224,0.00010381791,0.0038552035,0.021169653,0.00016081154,0.0000033455697,0.0034740716,0.60210055,0.00049121515,0.0041102176,0.0021669664,0.36221156],"study_design_scores_gemma":[0.0060667824,0.00048951496,0.0017533047,0.0005718605,0.00017656226,0.000014137867,0.0065436885,0.28114685,0.6100699,0.06552734,0.026256865,0.0013832543],"about_ca_topic_score_codex":2.51175e-7,"about_ca_topic_score_gemma":6.5011716e-7,"teacher_disagreement_score":0.6095786,"about_ca_system_score_codex":0.00001100826,"about_ca_system_score_gemma":0.00000688392,"threshold_uncertainty_score":0.30404603},"labels":[],"label_agreement":null},{"id":"W1981356886","doi":"10.1016/j.procir.2013.09.036","title":"Study of Workpiece Temperature Distribution in the Contact Zone during Robotic Grinding Process Using Finite Element Analysis","year":2013,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced Surface Polishing Techniques","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":"Hydro-Québec; École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Grinding; Finite element method; Materials science; Mechanical engineering; Machining; Heat generation; Thermal; Process (computing); Stiffness; Surface integrity; Chip formation; Tool wear; Structural engineering; Engineering; Computer science; Composite material","score_opus":0.013003282032255052,"score_gpt":0.2608506727873541,"score_spread":0.247847390755099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981356886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876491,0.000113707014,0.011043341,0.000019544203,0.000039077153,0.0009087439,0.000009959149,0.0001943774,0.00002218014],"genre_scores_gemma":[0.99887043,0.000014160322,0.00082927383,0.00000592955,0.00003395563,0.00019593764,0.00002349869,0.000024323565,0.0000024703768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9987937,0.00003950716,0.00037021376,0.00020950909,0.00027266293,0.00031436115],"domain_scores_gemma":[0.99942917,0.00008339598,0.00009834273,0.0002614963,0.00009033722,0.00003727137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022807217,0.00018851954,0.00030607704,0.00017848275,0.00008150186,0.000077849625,0.00028127705,0.00007162217,0.000009414093],"category_scores_gemma":[0.000111831774,0.00015612402,0.00005075377,0.001330407,0.00001342992,0.00041272613,0.00003840851,0.00033034733,0.0000031618197],"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":[0.000005486768,0.00013170279,0.24837843,0.00017368389,0.00013740157,0.0000051457732,0.0048538563,0.7397927,0.006423988,0.000013699437,0.000011298564,0.00007262164],"study_design_scores_gemma":[0.001281078,0.00015691652,0.7519852,0.00039607365,0.0006284138,0.000009699048,0.015928693,0.19649151,0.03193101,0.0003690543,0.0000072934217,0.00081505167],"about_ca_topic_score_codex":0.000081937236,"about_ca_topic_score_gemma":0.00016235469,"teacher_disagreement_score":0.54330117,"about_ca_system_score_codex":0.0001635124,"about_ca_system_score_gemma":0.000013575127,"threshold_uncertainty_score":0.6366553},"labels":[],"label_agreement":null},{"id":"W1987340460","doi":"10.1016/j.procir.2014.03.005","title":"Procurement of Reconfigurable Assembly System a Justification for Effective Production Ramp-up Planning","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Flexible and Reconfigurable Manufacturing Systems","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":"University of Windsor","funders":"","keywords":"Production (economics); Procurement; Production planning; Manufacturing engineering; Production system (computer science); Systems engineering; Computer science; Engineering; Business; Operations management; Economics; Marketing","score_opus":0.014055939053329266,"score_gpt":0.2258580289013033,"score_spread":0.21180208984797402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987340460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7865254,0.0021250919,0.12933666,0.0002491348,0.014679667,0.011412865,0.00003305604,0.0028139623,0.052824147],"genre_scores_gemma":[0.9974548,0.000006226727,0.00029411033,0.0000050295835,0.00049777585,0.0012087433,0.000022940261,0.00004814017,0.00046221018],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988356,0.000031132808,0.00039066176,0.00030011326,0.00016556859,0.00027690188],"domain_scores_gemma":[0.999275,0.000100141886,0.00015563214,0.0002368723,0.000175739,0.00005658067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006302625,0.00019022747,0.00031264406,0.00014710338,0.000091576934,0.000036380297,0.00012630237,0.00011743872,0.000002319194],"category_scores_gemma":[0.00016274348,0.0001766746,0.00008566716,0.00013323835,0.000017291592,0.00015259872,0.0000043148807,0.000111202324,0.000018860817],"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":[0.00028832754,0.00012844031,0.00055644725,0.073958784,0.0006713427,8.7794206e-7,0.0062850486,0.19273533,0.57741785,0.0044852532,0.019060915,0.124411374],"study_design_scores_gemma":[0.000552653,0.00014776798,0.000506668,0.001067846,0.00008855576,0.00001650793,0.00047043982,0.039797567,0.9447171,0.00010954606,0.012220473,0.00030489487],"about_ca_topic_score_codex":0.000011217884,"about_ca_topic_score_gemma":0.000002024441,"teacher_disagreement_score":0.36729923,"about_ca_system_score_codex":0.00013799804,"about_ca_system_score_gemma":0.000024433659,"threshold_uncertainty_score":0.7204581},"labels":[],"label_agreement":null},{"id":"W2001457103","doi":"10.1016/j.procir.2014.01.133","title":"Max-plus Modeling of Manufacturing Flow Lines","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Petri Nets in System Modeling","field":"Computer Science","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 Windsor","funders":"","keywords":"Manufacturing engineering; Flow (mathematics); Engineering; Computer science; Industrial engineering; Engineering drawing; Mechanics; Physics","score_opus":0.025395344101236027,"score_gpt":0.23814040837824935,"score_spread":0.2127450642770133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001457103","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06959273,0.00021073563,0.9260075,0.0001384832,0.00059697893,0.00011694869,0.0000010142759,0.00023374538,0.0031018707],"genre_scores_gemma":[0.86986005,0.000012880082,0.12965913,0.00008137309,0.0002846805,0.000015427118,0.0000010751509,0.000016402477,0.0000689524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839914,0.00003437831,0.0004148883,0.0004279868,0.00039351557,0.00033011741],"domain_scores_gemma":[0.998921,0.00008626224,0.00013867389,0.00062185485,0.00013821424,0.000094030365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005423261,0.00016699477,0.00028073232,0.00016235448,0.00007922159,0.00008088163,0.0010586141,0.000083502266,0.0000037177583],"category_scores_gemma":[0.00015607793,0.00015776696,0.00007397696,0.00019549008,0.000018883204,0.0004117781,0.00030823177,0.00013430622,0.000035878496],"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":[0.000008737099,0.000029749015,0.0001791322,0.00038829088,0.000021581427,0.0000036198771,0.001679397,0.92394394,0.0010652229,0.0038655605,0.00015108883,0.06866366],"study_design_scores_gemma":[0.00023820884,0.00002101389,0.000017418957,0.000093955554,0.000004932221,0.000016672659,0.000014881156,0.9832781,0.0122079365,0.0035771849,0.00035584276,0.00017385099],"about_ca_topic_score_codex":0.00001941031,"about_ca_topic_score_gemma":0.0000042566876,"teacher_disagreement_score":0.80026734,"about_ca_system_score_codex":0.000044893517,"about_ca_system_score_gemma":0.00007660986,"threshold_uncertainty_score":0.643355},"labels":[],"label_agreement":null},{"id":"W2009972531","doi":"10.1016/j.procir.2015.04.048","title":"The Coherent Point Drift Algorithm Adapted for Fixtureless Metrology of Non-rigid Parts","year":2015,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced Measurement and Metrology Techniques","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":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; École de technologie supérieure","keywords":"CAD; Metrology; Point (geometry); Rigid body; Dimensional metrology; Algorithm; Aerospace; Residual; Engineering; Transformation (genetics); Computer science; Engineering drawing; Mechanical engineering; Mathematics; Geometry","score_opus":0.023799397073495487,"score_gpt":0.25853121989980565,"score_spread":0.23473182282631017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009972531","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011177039,0.0035032106,0.97855914,0.0003374316,0.001118305,0.0012399979,0.000025650827,0.00056220754,0.0034770018],"genre_scores_gemma":[0.96812415,0.00013683386,0.030777702,0.000060932693,0.00018671148,0.000563803,0.000016169733,0.000040405746,0.00009330497],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99912894,0.000013518526,0.00024727304,0.00014726404,0.00014856627,0.00031442742],"domain_scores_gemma":[0.9993224,0.000105195795,0.000071762704,0.00019714724,0.00021433178,0.000089166315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040172503,0.00015113395,0.00025044245,0.000061534774,0.00004729327,0.000007251799,0.00019072178,0.000121665435,0.0000033118313],"category_scores_gemma":[0.00015856513,0.000111830384,0.000064794396,0.000102100516,0.0000674628,0.00006668912,0.00002273733,0.00014221213,0.0000031627492],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008545496,0.00045089424,0.007018714,0.000814618,0.001498407,0.000015228271,0.0029691462,0.0051565333,0.07827493,0.010102682,0.18795027,0.704894],"study_design_scores_gemma":[0.0042926646,0.0014388034,0.0014295636,0.00007501515,0.00027722103,0.000021550784,0.0003892888,0.07468846,0.50602347,0.026308205,0.38422728,0.0008284708],"about_ca_topic_score_codex":0.0000025816544,"about_ca_topic_score_gemma":0.000014506877,"teacher_disagreement_score":0.9569471,"about_ca_system_score_codex":0.00004477417,"about_ca_system_score_gemma":0.000040428764,"threshold_uncertainty_score":0.45603108},"labels":[],"label_agreement":null},{"id":"W2018245402","doi":"10.1016/j.procir.2014.03.117","title":"Dual-Channel Supply Coordination in Online Shopping","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","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":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dual (grammatical number); Order (exchange); Product (mathematics); Supply chain; Channel (broadcasting); Center (category theory); Business; Computer science; Order fulfillment; Operations research; Marketing; Telecommunications; Engineering; Mathematics","score_opus":0.019309692877422995,"score_gpt":0.2208652822813205,"score_spread":0.2015555894038975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018245402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86621547,0.00018487018,0.0027572904,0.02230669,0.0022793277,0.0011951315,0.0000051615843,0.0006187335,0.10443732],"genre_scores_gemma":[0.9929424,0.000005951726,0.00008981693,0.003982875,0.0017482956,0.000054663407,0.00011077367,0.000028922383,0.0010363308],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988566,0.000008777944,0.00026971532,0.00030819912,0.00023747137,0.00031924515],"domain_scores_gemma":[0.9995726,0.000028069446,0.00012064306,0.00017395407,0.000090390604,0.000014354201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044840388,0.00016491885,0.00017130646,0.00042820573,0.000086165346,0.00015432833,0.00016624492,0.00005729911,0.000196774],"category_scores_gemma":[0.00026549742,0.00016919289,0.00004827443,0.00045907695,0.000027472577,0.00079541496,0.00014920461,0.00012148204,0.0002759497],"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":[0.00015729455,0.0018041203,0.35929626,0.0031209588,0.00009994025,0.000061389765,0.0010246325,0.0027623656,0.0018767884,0.28619647,0.23671062,0.10688915],"study_design_scores_gemma":[0.0026113268,0.00003634769,0.09934122,0.00027087165,0.00005398792,0.0000027891438,0.0012434745,0.25721398,0.00008435996,0.018757824,0.61953765,0.00084617245],"about_ca_topic_score_codex":0.00013737833,"about_ca_topic_score_gemma":0.00027050372,"teacher_disagreement_score":0.382827,"about_ca_system_score_codex":0.00004743612,"about_ca_system_score_gemma":0.000009379588,"threshold_uncertainty_score":0.6899486},"labels":[],"label_agreement":null},{"id":"W2027768301","doi":"10.1016/j.procir.2014.01.125","title":"Capacity Scalability in Robust Design of Supply Flow Subject to Disruptions","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","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":"Concordia University","funders":"","keywords":"Supply chain; Robust optimization; Risk analysis (engineering); Safety stock; Scalability; Supply chain risk management; Backup; Computer science; Business; Operations research; Reliability engineering; Operations management; Supply chain management; Service management; Engineering; Mathematical optimization","score_opus":0.02803444163249393,"score_gpt":0.22676290881135042,"score_spread":0.19872846717885648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027768301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9190872,0.000027472497,0.072417095,0.0019467241,0.00036921853,0.0012795888,0.0000053337058,0.00013036338,0.004737028],"genre_scores_gemma":[0.9945817,0.0000075605767,0.004236866,0.000602501,0.00034152216,0.00012952895,0.000009439201,0.000017642147,0.00007323127],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859715,0.000025009362,0.00033873122,0.0003827081,0.000292078,0.0003643235],"domain_scores_gemma":[0.9992983,0.00010689363,0.00010640416,0.0003301036,0.00013249464,0.000025808407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009905059,0.00017127047,0.00025133012,0.0003569818,0.000094859744,0.00008770494,0.00034096683,0.00006044007,0.00015569976],"category_scores_gemma":[0.00070862076,0.00015185025,0.00006229356,0.00086411263,0.000078315985,0.00050958875,0.00015391098,0.00011517849,0.00019830345],"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":[0.00010135723,0.00047245252,0.87887776,0.00075888104,0.00001759367,0.0000030906383,0.0005671339,0.085002854,0.00082762685,0.0062752855,0.0054035047,0.021692485],"study_design_scores_gemma":[0.00096680317,0.000065626584,0.77267706,0.00016644123,0.0000615054,0.0000010738837,0.00047678358,0.20542297,0.0005798841,0.009844855,0.009133779,0.0006032396],"about_ca_topic_score_codex":0.0008791595,"about_ca_topic_score_gemma":0.0008000696,"teacher_disagreement_score":0.12042011,"about_ca_system_score_codex":0.000044980898,"about_ca_system_score_gemma":0.000021365797,"threshold_uncertainty_score":0.6192274},"labels":[],"label_agreement":null},{"id":"W2033538522","doi":"10.1016/j.procir.2014.03.116","title":"Design Method of Under-body Platform Automotive Framing Systems","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Product Development and Customization","field":"Business, Management and Accounting","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 Windsor","funders":"","keywords":"Automotive industry; Framing (construction); Engineering; Computer science; Systems engineering; Manufacturing engineering; Automotive engineering; Aerospace engineering; Structural engineering","score_opus":0.024601858495459383,"score_gpt":0.23625588197506606,"score_spread":0.21165402347960668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033538522","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011063222,0.00009665068,0.96926385,0.0002457812,0.0007827131,0.0005224899,4.6436224e-7,0.0002508146,0.017774014],"genre_scores_gemma":[0.9891861,0.00000427646,0.009194101,0.00031911055,0.0008666109,0.000039216196,0.0000223026,0.00003064862,0.000337621],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989323,0.000013754828,0.00029797867,0.0002633766,0.000258961,0.0002336418],"domain_scores_gemma":[0.9991038,0.00009095735,0.0003135726,0.00015561143,0.00032489072,0.00001119062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010217691,0.0001552192,0.00023637942,0.00022078012,0.00011815193,0.00012823458,0.00020526032,0.00008186565,0.000034258435],"category_scores_gemma":[0.0004284663,0.0001418119,0.00003362969,0.00043200585,0.000023561563,0.0008569817,0.00007673737,0.00008961613,0.00011992147],"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":[0.00036813767,0.0005964984,0.028676765,0.006841953,0.00053118943,0.0000070650685,0.003152907,0.033484697,0.024361847,0.7672046,0.021989716,0.11278467],"study_design_scores_gemma":[0.0031622294,0.00008121648,0.021997292,0.0006556764,0.00041647023,0.00001457515,0.002131528,0.8342608,0.024247544,0.07227026,0.038979854,0.0017825272],"about_ca_topic_score_codex":0.00004338028,"about_ca_topic_score_gemma":0.0000016954159,"teacher_disagreement_score":0.9781229,"about_ca_system_score_codex":0.000030384497,"about_ca_system_score_gemma":0.00004437135,"threshold_uncertainty_score":0.5782922},"labels":[],"label_agreement":null},{"id":"W2034458339","doi":"10.1016/j.procir.2014.02.032","title":"Analysis of Friction and Burr Formation in Slot Milling","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Machining; Enhanced Data Rates for GSM Evolution; Mechanical engineering; Materials science; Shear (geology); Engineering; Engineering drawing; Composite material","score_opus":0.004947346909165442,"score_gpt":0.201745780799997,"score_spread":0.19679843389083157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034458339","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31391796,0.00025487263,0.68471503,0.0000077930845,0.000036911835,0.000041262385,0.000001124683,0.00005692493,0.0009681482],"genre_scores_gemma":[0.996445,0.00023990471,0.0032600178,0.0000068363656,0.000015284068,0.0000068664954,0.000016270304,0.0000066316948,0.0000032153523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969435,0.000003167919,0.0001298599,0.000060829494,0.000047149853,0.00006462303],"domain_scores_gemma":[0.9998648,0.000022092421,0.000031382133,0.00004057868,0.000026171863,0.000014942688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000063568885,0.000046414956,0.000099163495,0.00019617821,0.000015482918,0.0000069959,0.00002228173,0.000028569631,0.0000026275995],"category_scores_gemma":[0.000045315202,0.000048535985,0.000013139468,0.00039975322,0.0000048358424,0.00018387163,0.000004946991,0.00003969414,4.5920373e-7],"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":[0.0000026767832,0.000004071437,0.0032547757,0.00015141156,0.00001765041,4.39169e-8,0.0007171957,0.9794349,0.0011946545,0.00040308837,0.0000020901402,0.014817461],"study_design_scores_gemma":[0.000103326856,0.000011194465,0.0045786975,0.000015003532,0.000050239047,3.7535008e-7,0.000039122784,0.99266905,0.0021673494,0.00022575172,0.00008718283,0.000052692445],"about_ca_topic_score_codex":0.000005107695,"about_ca_topic_score_gemma":0.000022943854,"teacher_disagreement_score":0.682527,"about_ca_system_score_codex":0.000012306853,"about_ca_system_score_gemma":0.0000014019059,"threshold_uncertainty_score":0.197924},"labels":[],"label_agreement":null},{"id":"W2041643410","doi":"10.1016/j.procir.2013.05.020","title":"A Game Theoretic Model to Manufacturing Planning with Single Manufacturer and Multiple Suppliers with Asymmetric Quality Information","year":2013,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","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":"University of Windsor","funders":"","keywords":"Quality (philosophy); Manufacturing engineering; Business; Game theory; Computer science; Process management; Operations management; Engineering; Economics; Microeconomics","score_opus":0.01839341368116529,"score_gpt":0.20809528477260159,"score_spread":0.1897018710914363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041643410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9489457,0.000019394587,0.021132447,0.00065825466,0.00006753503,0.001184199,0.0000026913092,0.0002030193,0.027786747],"genre_scores_gemma":[0.99421716,0.0000014674771,0.0016102405,0.0037022987,0.00012965899,0.00013573935,0.00004443584,0.000028809092,0.00013020153],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987077,0.0000058154956,0.00025087618,0.00028463954,0.00036206288,0.0003889107],"domain_scores_gemma":[0.9994252,0.00003878999,0.00017647112,0.00021179878,0.00009767763,0.00005009991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021201192,0.00025374786,0.0002024734,0.0004804187,0.00014182102,0.00062794896,0.00017972323,0.00004517367,0.000070438444],"category_scores_gemma":[0.00005852615,0.00018512682,0.00002460184,0.00027921167,0.000058859594,0.0023547106,0.00014086728,0.00012776846,0.00016642432],"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":[0.0028615298,0.001110188,0.4318451,0.014538849,0.0008187445,0.00004866996,0.025245883,0.2880642,0.0012264074,0.05116833,0.03471901,0.14835308],"study_design_scores_gemma":[0.01430528,0.0007256127,0.27395386,0.0012472146,0.00057952886,0.000037614514,0.02663965,0.5450213,0.014584954,0.030009974,0.087016895,0.005878143],"about_ca_topic_score_codex":0.00019565562,"about_ca_topic_score_gemma":0.0000197872,"teacher_disagreement_score":0.25695708,"about_ca_system_score_codex":0.000053342,"about_ca_system_score_gemma":0.000012113657,"threshold_uncertainty_score":0.75492525},"labels":[],"label_agreement":null},{"id":"W2044133977","doi":"10.1016/j.procir.2014.01.124","title":"Grouping Product Variants based on Alternate Machines for Each Operation","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Product Development and Customization","field":"Business, Management and Accounting","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":"University of Windsor","funders":"","keywords":"Product (mathematics); Computer science; Computational biology; Engineering; Manufacturing engineering; Biology; Mathematics","score_opus":0.012603678787605668,"score_gpt":0.21440353785545385,"score_spread":0.2017998590678482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044133977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48176083,0.00016355599,0.32568383,0.024569457,0.009556847,0.00673751,0.000011252137,0.0020076302,0.14950909],"genre_scores_gemma":[0.9908192,0.000001351183,0.0021578094,0.0027840033,0.0034605425,0.00015545505,0.00020600487,0.00003686674,0.0003787654],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897414,0.000007201489,0.00020296944,0.000391774,0.00019447866,0.00022942071],"domain_scores_gemma":[0.99947906,0.000024451218,0.00013686699,0.0001771207,0.00017258561,0.000009949743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058170845,0.0001634621,0.0001380001,0.00018537858,0.00023766652,0.00024125644,0.00016374749,0.000035538244,0.000038977905],"category_scores_gemma":[0.00058581104,0.00014601732,0.000034955752,0.00020832667,0.000011643433,0.0007959205,0.000033357042,0.000064979016,0.00017720883],"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":[0.00137245,0.0010223774,0.2227642,0.004579698,0.00013688355,0.000004546374,0.0005798146,0.014111981,0.025505448,0.32689962,0.046342783,0.35668018],"study_design_scores_gemma":[0.0020217628,0.000029368222,0.020742605,0.000103920174,0.00005534733,0.0000010068935,0.000009578309,0.9134251,0.002393652,0.008914414,0.05175162,0.00055166025],"about_ca_topic_score_codex":0.000017406051,"about_ca_topic_score_gemma":0.000009901475,"teacher_disagreement_score":0.8993131,"about_ca_system_score_codex":0.000021435999,"about_ca_system_score_gemma":0.000025382553,"threshold_uncertainty_score":0.59544134},"labels":[],"label_agreement":null},{"id":"W2044612972","doi":"10.1016/j.procir.2014.01.072","title":"Robust Metaheuristics for Scheduling Cellular Flowshop with Family Sequence-Dependent Setup Times","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Scheduling and Optimization Algorithms","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 Manitoba","funders":"","keywords":"Metaheuristic; Particle swarm optimization; Mathematical optimization; Flow shop scheduling; Job shop scheduling; Computer science; Minification; Scheduling (production processes); Robustness (evolution); Profitability index; Algorithm; Mathematics; Schedule","score_opus":0.025559139184580755,"score_gpt":0.214669913453017,"score_spread":0.18911077426843625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044612972","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016718455,0.00046256674,0.97917366,0.00006173605,0.00050148694,0.0003177426,0.00002444133,0.0006828175,0.0020571097],"genre_scores_gemma":[0.43485707,0.000046722635,0.5639872,0.00009724252,0.0004353621,0.000106499414,0.00007000956,0.00009848642,0.0003013793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885494,0.000013183931,0.00024367949,0.00029699598,0.00023950823,0.00035171252],"domain_scores_gemma":[0.99928564,0.000105709165,0.000048994625,0.00024427933,0.00017892715,0.00013642799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026895484,0.00023488128,0.00024617882,0.00009412767,0.000113665934,0.00009547576,0.0001941521,0.000113665854,0.000025830092],"category_scores_gemma":[0.00018281257,0.0002141641,0.00005491324,0.00018088002,0.000034346376,0.00012383104,0.000018030385,0.00017990224,0.00005377472],"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":[0.000011351825,0.00001663735,0.00010479013,0.0001800422,0.000060212176,0.0000024460055,0.00017208303,0.99500763,0.001658591,0.0004899747,0.00019259148,0.0021036477],"study_design_scores_gemma":[0.000560972,0.000056833964,0.000014557986,0.00004499545,0.000081278784,0.000006583779,0.00011691075,0.9891715,0.008210595,0.00023569471,0.0011703017,0.00032974698],"about_ca_topic_score_codex":0.0000028818204,"about_ca_topic_score_gemma":0.0000023310622,"teacher_disagreement_score":0.41813862,"about_ca_system_score_codex":0.000044678764,"about_ca_system_score_gemma":0.000049317827,"threshold_uncertainty_score":0.8733359},"labels":[],"label_agreement":null},{"id":"W2047697359","doi":"10.1016/j.procir.2014.03.047","title":"Survival Life Analysis of the Cutting Tools During Turning Titanium Metal Matrix Composites (Ti-MMCs)","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; Polytechnique Montréal","funders":"National Research Council Canada","keywords":"Materials science; Titanium; Composite material; Matrix (chemical analysis); Metal; Titanium alloy; Metallurgy; Alloy","score_opus":0.007026608356058002,"score_gpt":0.22100487521376247,"score_spread":0.21397826685770446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047697359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8495428,0.0006129521,0.14463532,0.000047809128,0.0004381462,0.00016218843,0.000014265309,0.00035941217,0.004187099],"genre_scores_gemma":[0.99352235,0.000032986878,0.006196394,0.000014482346,0.0001159037,0.0000093867375,0.00001622014,0.000033430086,0.0000588493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910325,0.000021289154,0.0002905172,0.00017047285,0.0001991737,0.00021527421],"domain_scores_gemma":[0.99939615,0.0001514991,0.00012274511,0.00018852232,0.00008522286,0.000055873174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017302168,0.00015045225,0.00030267323,0.00012174746,0.00012307355,0.00004848027,0.00021163702,0.00005579263,0.000029299841],"category_scores_gemma":[0.00041315597,0.00012380847,0.00013131033,0.0006697386,0.000024306637,0.00022675538,0.00006438865,0.00016863768,0.0000050149038],"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":[0.0000061056303,0.00000881668,0.01631464,0.00023545716,0.00028375303,1.9810454e-7,0.00035820136,0.9659245,0.016035756,0.0004082615,0.0000056329827,0.0004186563],"study_design_scores_gemma":[0.00031405623,0.000015768972,0.036356468,0.0000687793,0.0007649498,0.0000020765915,0.00016969943,0.9310813,0.030641949,0.00007443362,0.00021038848,0.00030014923],"about_ca_topic_score_codex":0.000004626533,"about_ca_topic_score_gemma":0.0000076535935,"teacher_disagreement_score":0.14397955,"about_ca_system_score_codex":0.000025446354,"about_ca_system_score_gemma":0.000013748083,"threshold_uncertainty_score":0.5048763},"labels":[],"label_agreement":null},{"id":"W2050283576","doi":"10.1016/j.procir.2014.06.078","title":"Do-it-yourselfers as Lead users for Environmentally Conscious Behavior","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Environmental Education and Sustainability","field":"Environmental Science","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":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Resource (disambiguation); Lead (geology); Resource efficiency; Product (mathematics); Business; Risk analysis (engineering); Environmental economics; Computer science; Economics; Ecology","score_opus":0.01042869016508506,"score_gpt":0.267409663309287,"score_spread":0.25698097314420193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050283576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808547,0.000027182568,0.0004579952,0.0019980676,0.00028394352,0.0012203391,0.000013349135,0.000074962416,0.01506949],"genre_scores_gemma":[0.99069107,0.000025666517,0.0020039214,0.0022596978,0.00006954352,0.00060897216,0.000028041575,0.00003719841,0.0042758994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99819976,0.00004741507,0.00027747074,0.00061725784,0.0003706163,0.00048749064],"domain_scores_gemma":[0.9991132,0.00010169369,0.000104759354,0.00041188116,0.00000588289,0.00026255456],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00041219394,0.0002378381,0.00018837792,0.00003246624,0.00026223002,0.00004787726,0.00034073548,0.000115117844,0.0038100781],"category_scores_gemma":[0.00023586575,0.00024020667,0.00011521675,0.000094678646,0.00054537493,0.00024353257,0.0001340866,0.00014201266,0.0015326882],"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":[0.00007873267,0.0010739453,0.9104071,0.0000617472,0.000018651655,0.0000034720651,0.0036982724,0.00021417985,0.010281317,0.00058698613,0.020787118,0.052788425],"study_design_scores_gemma":[0.0020019552,0.00063076324,0.57400304,0.000013587694,0.00014073275,0.000041854677,0.006535353,0.00049421476,0.006402435,0.0035482156,0.4051191,0.0010687793],"about_ca_topic_score_codex":0.00009100282,"about_ca_topic_score_gemma":0.000044776698,"teacher_disagreement_score":0.38433197,"about_ca_system_score_codex":0.0005431537,"about_ca_system_score_gemma":0.000030573632,"threshold_uncertainty_score":0.99924475},"labels":[],"label_agreement":null},{"id":"W2056147107","doi":"10.1016/j.procir.2014.01.107","title":"Use of Artificial Neural Networks for the Development of an Inverse Kinematic Solution and Visual Identification of Singularity Zone(s)","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":46,"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 Windsor","funders":"","keywords":"Artificial neural network; Inverse kinematics; Kinematics; Backpropagation; Artificial intelligence; Perceptron; Computer science; Cartesian coordinate system; Singularity; Robot; Multilayer perceptron; Inverse; Mathematics; Geometry; Physics","score_opus":0.02734499994565859,"score_gpt":0.24205489873682395,"score_spread":0.21470989879116537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056147107","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36907855,0.000008071062,0.63065845,0.000004276772,0.00009400202,0.00014372711,0.0000012525301,0.000010589434,0.0000011073897],"genre_scores_gemma":[0.9164389,0.0000023021296,0.08348879,0.0000030287335,0.000030919193,0.000013617815,0.0000116145975,0.0000087881235,0.0000020514403],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994003,0.00001074143,0.00034358018,0.00007426253,0.0000870448,0.00008408212],"domain_scores_gemma":[0.9996186,0.00008488073,0.000114309376,0.00008491976,0.00007407971,0.00002322121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030927244,0.000060975315,0.00012279449,0.000033539614,0.000038217986,0.000011765375,0.00004829579,0.00004677549,9.4389253e-7],"category_scores_gemma":[0.000109817585,0.00005153101,0.000020144465,0.00006231773,0.000030270126,0.00009284045,0.000014246809,0.000036942572,9.909448e-8],"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":[0.0000354723,0.00008058452,0.0002277648,0.0009809567,0.000037385613,3.9703604e-8,0.001435564,0.8495895,0.058308065,0.006041977,0.00000967581,0.08325296],"study_design_scores_gemma":[0.00007965925,0.000029109015,0.0020266748,0.000017217792,0.000029113065,4.818366e-7,0.00005120456,0.9917794,0.0052872906,0.0006477281,0.0000020318485,0.000050114784],"about_ca_topic_score_codex":0.0000058385594,"about_ca_topic_score_gemma":0.000067128945,"teacher_disagreement_score":0.54736036,"about_ca_system_score_codex":0.0000086001755,"about_ca_system_score_gemma":0.000011374261,"threshold_uncertainty_score":0.21013737},"labels":[],"label_agreement":null},{"id":"W2067435361","doi":"10.1016/j.procir.2014.01.143","title":"Generation of Block Diagonal forms Using Hierarchical Clustering for Cell Formation Problems","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced Manufacturing and Logistics Optimization","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":false,"ca_institutions":"Concordia University; University of Calgary","funders":"","keywords":"Diagonal; Block (permutation group theory); Hierarchical clustering; Cluster analysis; Mathematics; Computer science; Algorithm; Combinatorics; Artificial intelligence; Geometry","score_opus":0.03579804741339894,"score_gpt":0.23506246385300347,"score_spread":0.19926441643960452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067435361","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06487495,0.000035148158,0.934132,0.000009436662,0.0001471339,0.00025978335,0.0000073767083,0.00009852104,0.00043568725],"genre_scores_gemma":[0.912974,0.000018804063,0.08666581,0.000008947004,0.00018758058,0.000043416432,0.00006384155,0.000023396005,0.000014217466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994324,0.0000045923075,0.00022000374,0.000099043435,0.00008575461,0.00015821515],"domain_scores_gemma":[0.99972826,0.000039136743,0.000060291608,0.00008024056,0.000056235727,0.000035828154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000099957295,0.0000959388,0.000110123765,0.00006367149,0.000059477992,0.000019415134,0.00005485337,0.000062513514,0.0000019889317],"category_scores_gemma":[0.00005513081,0.0000943053,0.00003075224,0.000047754766,0.000013818125,0.00021112658,0.0000135337195,0.000071737464,9.21513e-7],"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":[0.0000045394877,0.000010480671,0.000017718949,0.0005196916,0.000003224025,2.3391543e-8,0.00019290905,0.97946477,0.01670415,0.00025560477,0.000025032648,0.0028018435],"study_design_scores_gemma":[0.0002931319,0.000040127918,0.000022654644,0.000019648642,0.000011067644,0.0000022435256,0.0000061853325,0.9196566,0.07813997,0.0013323365,0.0003696177,0.00010645106],"about_ca_topic_score_codex":0.0000012703237,"about_ca_topic_score_gemma":0.0000055627547,"teacher_disagreement_score":0.84809905,"about_ca_system_score_codex":0.000037673373,"about_ca_system_score_gemma":0.000008895318,"threshold_uncertainty_score":0.38456586},"labels":[],"label_agreement":null},{"id":"W2069745579","doi":"10.1016/j.procir.2014.01.101","title":"Architecture Framework for Manufacturing System Design","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":57,"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 Windsor","funders":"European Regional Development Fund; Agence Nationale de la Recherche","keywords":"Process development execution system; Architecture; Computer-integrated manufacturing; Integrated Computer-Aided Manufacturing; Systems architecture; Computer science; Manufacturing engineering; Systems engineering; Process (computing); Representation (politics); Engineering; Product (mathematics)","score_opus":0.01287589492993573,"score_gpt":0.20326742571829629,"score_spread":0.19039153078836055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069745579","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012796253,0.0003148787,0.9761862,0.00004991948,0.0016597251,0.00076749444,0.000006773005,0.0014377316,0.006781022],"genre_scores_gemma":[0.9717158,0.000008215749,0.026521266,0.000041793308,0.0010854782,0.0003056748,0.0000059734252,0.000095476214,0.00022032022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988285,0.00002624892,0.00026668116,0.0002699657,0.00014512255,0.00046351465],"domain_scores_gemma":[0.9991642,0.00034446362,0.0000492865,0.00029767453,0.00002318338,0.000121173325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028862146,0.000257793,0.00030347327,0.000120889315,0.000118049466,0.00008620377,0.00025074018,0.00021235156,0.000012664472],"category_scores_gemma":[0.00006190634,0.00022432297,0.00010143327,0.000059122176,0.000018082035,0.00006486574,0.0000129840155,0.0002516061,0.000095454896],"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":[0.000110678826,0.00003950125,0.00011770667,0.02096758,0.00040420055,0.000009657704,0.0021826741,0.7926085,0.004120704,0.02726102,0.008523893,0.14365387],"study_design_scores_gemma":[0.0010636285,0.00019982515,0.00031420833,0.0014956197,0.000097747245,0.00013514436,0.00028378266,0.13704279,0.73704344,0.025250647,0.09567751,0.0013956587],"about_ca_topic_score_codex":0.0000039749902,"about_ca_topic_score_gemma":0.0000012574301,"teacher_disagreement_score":0.9589195,"about_ca_system_score_codex":0.0000712257,"about_ca_system_score_gemma":0.00001341935,"threshold_uncertainty_score":0.9147625},"labels":[],"label_agreement":null},{"id":"W2073561110","doi":"10.1016/j.procir.2013.06.066","title":"Finite Element-based Modeling of Machining-induced Residual Stresses in Ti-6Al-4V under Finish Turning Conditions","year":2013,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","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":"National Research Council Canada; McGill University","funders":"","keywords":"Residual stress; Machining; Materials science; Finite element method; Enhanced Data Rates for GSM Evolution; Surface integrity; Titanium alloy; Residual; RADIUS; Surface roughness; Cutting tool; Composite material; Structural engineering; Mechanical engineering; Metallurgy; Alloy; Engineering; Computer science","score_opus":0.01616516015510692,"score_gpt":0.24634087827626103,"score_spread":0.23017571812115412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073561110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.629423,0.0004427397,0.36586544,0.00018367406,0.0002403331,0.0004942065,0.000050533232,0.00045468306,0.0028453993],"genre_scores_gemma":[0.99076545,0.000046981917,0.008714898,0.00007713115,0.00005960345,0.00012131665,0.0001400112,0.000055538258,0.000019060064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883056,0.000015344933,0.00042322406,0.00022738725,0.00018453751,0.00031892894],"domain_scores_gemma":[0.9993841,0.00016790055,0.00009373729,0.00015917562,0.00012662075,0.00006843745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009459433,0.00019766885,0.00022652514,0.00020926881,0.000073383264,0.000047576923,0.00014999534,0.0000996101,0.00014277676],"category_scores_gemma":[0.00019809151,0.00021543045,0.000035803994,0.00029521974,0.000020144851,0.00037188572,0.000027851094,0.00026908846,0.000013859128],"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":[0.0000054656853,0.000030505387,0.0012428426,0.00021980556,0.000014064026,9.325225e-7,0.0003552159,0.99567014,0.0014805741,0.00022240593,0.000055411063,0.00070266484],"study_design_scores_gemma":[0.0006157116,0.00004211975,0.00056006527,0.00018837687,0.000016112233,7.631642e-7,0.00033612197,0.99229497,0.004199033,0.0014924221,0.000017179242,0.00023710595],"about_ca_topic_score_codex":0.00005219066,"about_ca_topic_score_gemma":0.000058262976,"teacher_disagreement_score":0.36134246,"about_ca_system_score_codex":0.000043673797,"about_ca_system_score_gemma":0.00007245387,"threshold_uncertainty_score":0.87849987},"labels":[],"label_agreement":null},{"id":"W2092470473","doi":"10.1016/j.procir.2014.02.050","title":"An Optimization Approach for Components Built by Fused Deposition Modeling with Parametric Internal Structures","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":67,"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 Windsor","funders":"","keywords":"Parametric statistics; Fused deposition modeling; Component (thermodynamics); Mechanical engineering; Layer (electronics); Shell (structure); Process (computing); Structural engineering; Deposition (geology); Material properties; Materials science; Engineering drawing; Computer science; 3D printing; Engineering; Composite material","score_opus":0.015136480196676032,"score_gpt":0.21439060702587345,"score_spread":0.1992541268291974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092470473","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32841167,0.000026622927,0.67061883,0.0000051349366,0.000034434543,0.00014280977,0.000007890514,0.0006185597,0.00013401583],"genre_scores_gemma":[0.7697308,0.000006193294,0.22995971,0.000008550533,0.000048534257,0.0000601944,0.00015448402,0.00002963293,0.0000018803921],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993713,0.000009308167,0.00012349352,0.00020364347,0.000104998755,0.00018727008],"domain_scores_gemma":[0.9996991,0.00003084266,0.00003772668,0.00014729693,0.00004647259,0.000038541806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006887632,0.00014352553,0.00012721481,0.00012133082,0.000075760414,0.00006612076,0.00018172938,0.000087913024,0.0000018064148],"category_scores_gemma":[0.000053972013,0.00012588435,0.000021319702,0.000095254276,0.000021701853,0.00012938498,0.000017225806,0.00013121072,4.3898024e-7],"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":[0.000018912848,0.00001752934,0.00018903315,0.00009407211,0.000020296018,8.3453976e-8,0.00004405653,0.98926514,0.00091139815,0.00010004071,0.00005692586,0.009282483],"study_design_scores_gemma":[0.00031840618,0.00007766204,0.00011740101,0.000016185744,0.000015787899,0.000004194849,0.000031502863,0.9668695,0.031955294,0.00041392073,0.000011296259,0.00016885671],"about_ca_topic_score_codex":0.000010402989,"about_ca_topic_score_gemma":6.389354e-7,"teacher_disagreement_score":0.44131914,"about_ca_system_score_codex":0.000029831015,"about_ca_system_score_gemma":0.000003328977,"threshold_uncertainty_score":0.5133415},"labels":[],"label_agreement":null},{"id":"W2129663633","doi":"10.1016/j.procir.2014.02.047","title":"Grouping and Sequencing of Machining Operations for High Volume Transfer Lines","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Assembly Line Balancing Optimization","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 Windsor","funders":"University of Windsor","keywords":"Limit (mathematics); Integer programming; Process (computing); Machining; Volume (thermodynamics); Integer (computer science); Set (abstract data type); Transfer (computing); Linear programming; Mathematical optimization; Product (mathematics); Computer science; Engineering; Time limit; Transfer function; Function (biology); Component (thermodynamics); Industrial engineering; Mechanical engineering; Mathematics; Systems engineering","score_opus":0.00770019271469478,"score_gpt":0.1986522099193215,"score_spread":0.19095201720462673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129663633","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38668534,0.00007322629,0.612679,0.00004524974,0.00010299327,0.00014287981,0.0000059185118,0.0001238861,0.00014146668],"genre_scores_gemma":[0.95511043,0.000018431601,0.044541605,0.000022949478,0.00018107487,0.000042758777,0.000026552849,0.000032821976,0.000023400735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949855,0.00000648881,0.00019247567,0.0001142936,0.00005959709,0.00012857832],"domain_scores_gemma":[0.99975854,0.000052477633,0.000010573155,0.00007482388,0.00007136053,0.000032201297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014130144,0.00009155972,0.00014414833,0.000059887774,0.00006030711,0.000018957926,0.00004584961,0.000051898045,0.0000033216807],"category_scores_gemma":[0.00014711826,0.0000977988,0.000019086314,0.00007683737,0.000012491327,0.00015838274,0.0000068886284,0.00005682444,0.0000010645847],"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":[0.000007638951,0.000009924426,0.0063989167,0.0009778523,0.000037713613,1.8436651e-7,0.002761185,0.89691514,0.07887414,0.008282971,0.000093762756,0.005640601],"study_design_scores_gemma":[0.00028242928,0.00003165885,0.0014990732,0.00005874926,0.000023130842,0.0000025938077,0.00004772136,0.98786956,0.009829552,0.00011998492,0.00011323239,0.00012231557],"about_ca_topic_score_codex":0.0000163632,"about_ca_topic_score_gemma":0.000030469466,"teacher_disagreement_score":0.56842506,"about_ca_system_score_codex":0.000021754118,"about_ca_system_score_gemma":0.00001618349,"threshold_uncertainty_score":0.39881194},"labels":[],"label_agreement":null},{"id":"W2286315129","doi":"10.1016/j.procir.2015.12.130","title":"Resource Efficient Configuration of an Aircraft Assembly Line","year":2016,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":29,"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":"Queen's University; Queen's University Belfast; Università degli Studi di Napoli Federico II","keywords":"Assembly line; Process (computing); Line (geometry); Engineering; Profitability index; Manufacturing engineering; Throughput; Resource (disambiguation); Computer science; Systems engineering; Engineering drawing; Mechanical engineering","score_opus":0.007205504766131933,"score_gpt":0.21480801855062365,"score_spread":0.2076025137844917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2286315129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5845992,0.00008486854,0.41037014,0.00018318057,0.00018334614,0.0002380625,0.000011327399,0.0005190826,0.0038108006],"genre_scores_gemma":[0.9968577,0.00000954712,0.0027556894,0.000017651068,0.00017189284,0.000017028902,0.000020321442,0.000036366284,0.00011382343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99924177,0.000014354909,0.00024758716,0.00015270252,0.00017362258,0.00016997305],"domain_scores_gemma":[0.99950576,0.000056174053,0.00005940979,0.00020380148,0.00010880105,0.000066055036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014685327,0.000113259004,0.00014091651,0.00008265873,0.00002526848,0.000011198921,0.000109268265,0.00007863304,0.000020168407],"category_scores_gemma":[0.00016159411,0.00009040963,0.000026073834,0.00014670238,0.00002511786,0.0001221911,0.000011891164,0.0000507292,0.000035152032],"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":[0.00003364502,0.00010239941,0.0006816803,0.00020889707,0.000027937482,0.000002709489,0.00065211096,0.49148002,0.47677264,0.0008932926,0.0010969868,0.028047701],"study_design_scores_gemma":[0.0007606533,0.00012924435,0.0030792425,0.00013831926,0.000023286026,0.000006940288,0.000048777496,0.47858128,0.5146343,0.00005612414,0.002264605,0.0002772377],"about_ca_topic_score_codex":0.0000017542008,"about_ca_topic_score_gemma":0.0000036489346,"teacher_disagreement_score":0.41225848,"about_ca_system_score_codex":0.000046368605,"about_ca_system_score_gemma":0.000027501337,"threshold_uncertainty_score":0.3686798},"labels":[],"label_agreement":null},{"id":"W2299832504","doi":"10.1016/j.procir.2016.01.093","title":"Advanced Airframe Disassembly Alternatives; An Attempt to Increase the Afterlife Value","year":2016,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Manufacturing Process and Optimization","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":"Polytechnique Montréal","funders":"Sotrem-Maltech","keywords":"Airframe; Aviation; Automotive industry; Engineering; Aero engine; Aeronautics; Manufacturing engineering; Automotive engineering; Mechanical engineering; Aerospace engineering","score_opus":0.006370759085946962,"score_gpt":0.22281526093747264,"score_spread":0.21644450185152567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2299832504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9109385,0.00012942964,0.084193595,0.0009498652,0.00033537482,0.00037916235,0.000017690982,0.00048911694,0.0025672785],"genre_scores_gemma":[0.9970713,0.000062043706,0.0016633595,0.00035513358,0.00024453973,0.00016479229,0.0000046161663,0.000047688598,0.00038647462],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99913096,0.000014829676,0.00016561883,0.00023940373,0.00018018375,0.00026902667],"domain_scores_gemma":[0.99939764,0.000067078756,0.000031669464,0.00028268286,0.000050353596,0.0001705997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011547603,0.00017115143,0.00012480533,0.00005454233,0.00007370598,0.000058050406,0.00029442387,0.000047576985,0.000049270206],"category_scores_gemma":[0.00011983418,0.00010185995,0.00003067868,0.000106815496,0.00002175747,0.00037708684,0.000044023007,0.00007384076,0.000100032266],"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":[0.00034541497,0.00025631484,0.009454094,0.00087867933,0.00019802296,0.000026070518,0.01134205,0.38199013,0.044884846,0.0053144274,0.00528199,0.540028],"study_design_scores_gemma":[0.006509174,0.0011242937,0.12394348,0.0015192659,0.00020991502,0.0000616796,0.0009837075,0.09868816,0.55183536,0.012007157,0.1981083,0.0050094943],"about_ca_topic_score_codex":0.00001693783,"about_ca_topic_score_gemma":0.000019855031,"teacher_disagreement_score":0.53501844,"about_ca_system_score_codex":0.000051997908,"about_ca_system_score_gemma":0.000018047074,"threshold_uncertainty_score":0.41537285},"labels":[],"label_agreement":null},{"id":"W2313380927","doi":"10.1016/j.procir.2016.01.045","title":"A Novel Technique to Achieve Sustainable Machining System","year":2016,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","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 Ontario Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Lubricant; Surface roughness; Mechanical engineering; Surface finish; Process engineering; Metalworking; Cutting fluid; Process (computing); Manufacturing engineering; Environmental pollution; Tool wear; Materials science; Engineering; Computer science; Environmental science; Composite material","score_opus":0.004569730936166919,"score_gpt":0.20178372079744453,"score_spread":0.1972139898612776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313380927","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009882655,0.00010637442,0.9864815,0.00013707853,0.00012990208,0.00041837132,0.00000789488,0.0012224243,0.010508209],"genre_scores_gemma":[0.93786687,0.000019638424,0.06074761,0.00004645483,0.00012209626,0.00037581293,0.0000030502936,0.00007096338,0.00074749487],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99910194,0.0000040225273,0.00017938542,0.0002164595,0.00011732383,0.00038086373],"domain_scores_gemma":[0.9995467,0.00004117761,0.000032261243,0.0001670079,0.00009831485,0.00011452851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001412068,0.00016260997,0.00014938477,0.00012231292,0.00008778022,0.000034496872,0.00016495654,0.00007521453,0.000009642095],"category_scores_gemma":[0.00012001687,0.00012653388,0.000027020635,0.00026851718,0.000010767306,0.0003462009,0.000055351764,0.00009195031,0.000038050057],"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":[0.0002583858,0.00012949448,0.0010495319,0.007783559,0.0001400699,0.00006946519,0.0037830032,0.42250362,0.2784108,0.17206006,0.002550517,0.111261524],"study_design_scores_gemma":[0.00998919,0.0022090948,0.0014784669,0.008807657,0.00033358214,0.0013047069,0.00855464,0.32458127,0.37087423,0.0163614,0.24570079,0.009804985],"about_ca_topic_score_codex":0.0000057977877,"about_ca_topic_score_gemma":0.0000019698418,"teacher_disagreement_score":0.9368786,"about_ca_system_score_codex":0.00016901127,"about_ca_system_score_gemma":0.000031368767,"threshold_uncertainty_score":0.5159902},"labels":[],"label_agreement":null},{"id":"W2330001583","doi":"10.1016/j.procir.2016.01.088","title":"Towards a Sustainable Disassembly/Dismantling in Aerospace Industry","year":2016,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Manufacturing Process and Optimization","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":"Polytechnique Montréal","funders":"","keywords":"Aerospace; Sustainability; Process (computing); Work (physics); Quality (philosophy); Manufacturing engineering; Engineering; Systems engineering; Computer science; Mechanical engineering; Aerospace engineering","score_opus":0.006646824229972366,"score_gpt":0.20616003530863758,"score_spread":0.1995132110786652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330001583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94794446,0.00049219705,0.03349262,0.0007967748,0.00027306657,0.00034610662,0.0000038255903,0.00067828083,0.015972693],"genre_scores_gemma":[0.99787074,0.00011897328,0.0005375854,0.000027639751,0.00009876525,0.00006528022,0.0000018471186,0.000035940866,0.0012432032],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99915904,0.0000051809025,0.0001558575,0.0001774665,0.00011771663,0.00038473413],"domain_scores_gemma":[0.9997147,0.000021453481,0.000023907567,0.00012801946,0.000039287628,0.000072654766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011818405,0.0001359526,0.00012897213,0.0001023862,0.000037033908,0.000045002755,0.00012994731,0.00018075333,0.000056938705],"category_scores_gemma":[0.00010307378,0.00010509316,0.000021797825,0.0001899191,0.000015258591,0.00031120627,0.000038507114,0.0001696106,0.000020018371],"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":[0.00019435676,0.00047346478,0.16197746,0.010506002,0.00019774157,0.00037034997,0.016266577,0.44757497,0.0116839465,0.036004577,0.015069008,0.29968154],"study_design_scores_gemma":[0.011004609,0.00032229716,0.16599968,0.0031806591,0.00013009428,0.00007875416,0.0068640863,0.108183235,0.5720192,0.026992418,0.098993674,0.0062312493],"about_ca_topic_score_codex":0.000021807662,"about_ca_topic_score_gemma":0.0000136136105,"teacher_disagreement_score":0.5603353,"about_ca_system_score_codex":0.00011750258,"about_ca_system_score_gemma":0.00004123193,"threshold_uncertainty_score":0.4285575},"labels":[],"label_agreement":null},{"id":"W2331801395","doi":"10.1016/j.procir.2016.01.050","title":"Clusterization Economy as a Way to Build Sustainable Development of the Region","year":2016,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","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":"Ministério da Educação e Ciência; Ontario Ministry of Economic Development and Innovation","keywords":"Sustainable development; Business; Economic geography; Economic system; Political science; Economics","score_opus":0.01532420122098123,"score_gpt":0.2507137734898389,"score_spread":0.23538957226885768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331801395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67174804,0.000028144013,0.0064777136,0.02023745,0.00026394936,0.00091784715,6.541982e-7,0.0001434311,0.30018276],"genre_scores_gemma":[0.9787988,0.000016316068,0.0014120468,0.0003379921,0.000038494072,0.00007789347,2.842614e-7,0.000005495088,0.019312656],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926275,0.000020740124,0.00020357348,0.00017662528,0.00008551269,0.0002507906],"domain_scores_gemma":[0.9995869,0.000041038504,0.00010495261,0.00012721145,0.00007850926,0.00006138409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023946009,0.0000664725,0.000092042974,0.000050377617,0.00031830382,0.000021979193,0.0003647194,0.0000889328,0.000103771934],"category_scores_gemma":[0.00047599693,0.00003910038,0.000022848877,0.0001986801,0.00012168081,0.00014497522,0.00016491834,0.000035891655,0.00008406036],"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":[0.000016916621,0.00004255423,0.026602587,0.000036903526,0.00001761045,0.0000014396522,0.010193882,7.785836e-7,0.00022873914,0.843674,0.0026463454,0.11653825],"study_design_scores_gemma":[0.00021557382,0.000019533905,0.022266544,0.000065603206,0.0000036156086,8.4229663e-7,0.003096422,9.958311e-7,0.007184848,0.071395844,0.8955811,0.00016903772],"about_ca_topic_score_codex":0.000032835662,"about_ca_topic_score_gemma":0.00006492402,"teacher_disagreement_score":0.8929348,"about_ca_system_score_codex":0.0002362965,"about_ca_system_score_gemma":0.0003723951,"threshold_uncertainty_score":0.2448168},"labels":[],"label_agreement":null},{"id":"W2423064448","doi":"10.1016/j.procir.2016.02.074","title":"Development of a Procedure to Characterize Residual Stresses Induced by Drilling","year":2016,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Welding Techniques and Residual Stresses","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":"Safran Electronics (Canada)","funders":"Centre Technique des Industries Mécaniques","keywords":"Residual stress; Hole drilling method; Deep hole drilling; Residual; Drilling; Materials science; Diffractometer; Electropolishing; Strain gauge; Microstructure; Characterization (materials science); Sample (material); Structural material; Structural engineering; Composite material; Computer science; Metallurgy; Engineering; Algorithm; Physics; Scanning electron microscope; Nanotechnology","score_opus":0.019764508365461387,"score_gpt":0.2297082626266468,"score_spread":0.2099437542611854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2423064448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996818,0.00015198541,0.0013999522,0.0002402032,0.00009885542,0.00026131453,0.000037819027,0.0004857254,0.0005061149],"genre_scores_gemma":[0.9907541,0.00008691792,0.00878863,0.000023601717,0.000110538465,0.000110121364,0.000008012047,0.000043017928,0.00007504838],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99898225,0.0000049089117,0.00030504883,0.00020920506,0.00020570194,0.00029287173],"domain_scores_gemma":[0.99958104,0.000040218318,0.000051008257,0.0001462886,0.00006821259,0.00011320982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000831566,0.0001788854,0.00020247394,0.0000906886,0.000048898462,0.000020132098,0.00021924585,0.00010788033,0.000035304824],"category_scores_gemma":[0.000109262975,0.00012644276,0.000024173212,0.00016485015,0.000015693322,0.00010378498,0.000060707436,0.000076054166,0.000016848917],"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":[0.000014985921,0.000028853043,0.00051922794,0.00034616946,0.000032358177,0.0000011868458,0.00077175297,0.00000941908,0.9682138,0.000031418487,0.006234412,0.023796445],"study_design_scores_gemma":[0.00014323923,0.00003595765,0.0028064165,0.00045132884,0.000006147378,0.0000017877622,0.000039512117,0.0000047874337,0.9806847,0.000054020053,0.0155409165,0.00023118666],"about_ca_topic_score_codex":0.0000033438291,"about_ca_topic_score_gemma":0.000012049399,"teacher_disagreement_score":0.023565257,"about_ca_system_score_codex":0.000045564713,"about_ca_system_score_gemma":0.000063666004,"threshold_uncertainty_score":0.5156186},"labels":[],"label_agreement":null},{"id":"W2461693811","doi":"10.1016/j.procir.2016.04.023","title":"A Bi-criterion Flexible Registration Method for Fixtureless Inspection of Compliant Parts","year":2016,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Industrial Vision Systems and Defect Detection","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":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"CAD; Residual stress; Sheet metal; Residual; Engineering drawing; Mechanical engineering; Engineering; Computer science; Structural engineering; Algorithm; Materials science","score_opus":0.03591029070178994,"score_gpt":0.28801290032253246,"score_spread":0.2521026096207425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2461693811","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04429973,0.00012329739,0.9514341,0.00010034689,0.0014104568,0.0006177638,0.000032210657,0.0004771515,0.0015049836],"genre_scores_gemma":[0.99662024,0.00001847231,0.0026007951,0.0000076388615,0.00042482093,0.000116381016,0.0000055737414,0.00002269855,0.00018340287],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99926656,0.000019369882,0.00029596002,0.00015171044,0.00012324218,0.00014315019],"domain_scores_gemma":[0.99954027,0.00008062284,0.00008934118,0.00013152293,0.00011885643,0.000039400747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003032295,0.00010225515,0.0001788359,0.00010172215,0.000056354227,0.000019517985,0.000048401023,0.00013004037,0.000010026289],"category_scores_gemma":[0.00009777225,0.00007641875,0.00006592528,0.00014952988,0.000012438427,0.00014877706,0.000005938837,0.000052590127,0.000009799763],"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":[0.00020782574,0.000043100015,0.00033806832,0.000693574,0.000053743828,9.0792514e-7,0.0004464829,0.00074509846,0.81332225,0.0028181162,0.013436099,0.16789477],"study_design_scores_gemma":[0.0019552624,0.0004159731,0.0013793758,0.00048727967,0.000040014595,0.000039278242,0.0001121509,0.024929367,0.9071618,0.0019977132,0.06110756,0.0003742514],"about_ca_topic_score_codex":0.000024389565,"about_ca_topic_score_gemma":0.00001228048,"teacher_disagreement_score":0.9523205,"about_ca_system_score_codex":0.00006017523,"about_ca_system_score_gemma":0.000019010746,"threshold_uncertainty_score":0.3116266},"labels":[],"label_agreement":null},{"id":"W2509953608","doi":"10.1016/j.procir.2016.07.068","title":"Impact of Product Platform and Market Demand on Manufacturing System Performance and Production Cost","year":2016,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Product Development and Customization","field":"Business, Management and Accounting","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 Windsor","funders":"","keywords":"Scalability; Product (mathematics); Production (economics); Manufacturing engineering; Order (exchange); Build to order; Order processing; Product design specification; Product design; Engineering; Event (particle physics); Computer science; Business; Marketing; Supply chain; Database","score_opus":0.010224457524255265,"score_gpt":0.19820877317020594,"score_spread":0.18798431564595067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509953608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945752,0.00006909567,0.00002553739,0.00025221892,0.00022673517,0.0005348965,0.0000013257562,0.00008385441,0.004231149],"genre_scores_gemma":[0.998729,0.000102188475,0.00003803345,0.00001775644,0.0006164438,0.000034455275,0.000005214493,0.000018158766,0.00043876088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910384,0.000003189558,0.0002003775,0.00033297212,0.0001638283,0.00019576027],"domain_scores_gemma":[0.9995375,0.000013928199,0.00019425807,0.00014022604,0.00009955982,0.000014473976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037060937,0.00015917023,0.00016481713,0.00019257441,0.00012649661,0.00006579562,0.00006878452,0.00003580756,0.000021796151],"category_scores_gemma":[0.000123809,0.0001014883,0.000019840236,0.00012910078,0.00004641701,0.0012386022,0.00006107398,0.00004830143,0.000016526565],"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":[0.00048804173,0.000068852074,0.7578092,0.0030830484,0.00008023256,0.0000013697811,0.0001739655,0.000020971236,0.0037410818,0.0005864038,0.0056203105,0.22832647],"study_design_scores_gemma":[0.00079388666,0.00003484442,0.98181576,0.000541448,0.000043118,0.000018155373,0.000050008184,0.00043153577,0.014276159,0.00015797344,0.0015500298,0.00028710658],"about_ca_topic_score_codex":0.000009304022,"about_ca_topic_score_gemma":0.0000026572243,"teacher_disagreement_score":0.22803937,"about_ca_system_score_codex":0.000060362298,"about_ca_system_score_gemma":0.000022977267,"threshold_uncertainty_score":0.41385728},"labels":[],"label_agreement":null},{"id":"W2513584315","doi":"10.1016/j.procir.2016.07.069","title":"Functional Synthesis of Manufacturing Systems Using Co-platforming","year":2016,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":12,"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 Windsor","funders":"Canada Research Chairs","keywords":"Engineering; Automotive industry; Flexible manufacturing system; Manufacturing engineering; Product (mathematics); Capital investment; Scheduling (production processes); Integer programming; Computer science; Algorithm","score_opus":0.026869906849034425,"score_gpt":0.20749053961271982,"score_spread":0.1806206327636854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2513584315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98124045,0.00008454048,0.00519916,0.00018190204,0.0009134806,0.00026594568,0.000002868386,0.00015039532,0.011961236],"genre_scores_gemma":[0.99837375,0.0000063183784,0.00013996786,0.000048044432,0.0010358088,0.000020874038,0.000006430601,0.00002040212,0.00034842835],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99910676,0.0000024764483,0.00025488195,0.00019929795,0.00024280166,0.00019378462],"domain_scores_gemma":[0.999479,0.00004602305,0.00024158902,0.00010868057,0.000116073265,0.000008660914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002629551,0.00011904589,0.00015850978,0.00021532137,0.00012032754,0.00006809909,0.00010894247,0.000049484574,0.00015095656],"category_scores_gemma":[0.00018647156,0.000086618966,0.000035912297,0.00013397016,0.000028005807,0.0012126986,0.000043746073,0.00003280515,0.00015111227],"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":[0.0006424468,0.00037723023,0.4177934,0.0074790735,0.00056899985,0.000023228386,0.00035942256,0.0016887507,0.25581503,0.045408305,0.02578641,0.2440577],"study_design_scores_gemma":[0.0028719169,0.000014391722,0.09560454,0.0024251698,0.0004475464,0.000047510035,0.00085281924,0.0070750755,0.79435825,0.005798177,0.08843552,0.0020690553],"about_ca_topic_score_codex":0.000025782065,"about_ca_topic_score_gemma":0.0000014460173,"teacher_disagreement_score":0.5385432,"about_ca_system_score_codex":0.000044513705,"about_ca_system_score_gemma":0.000034980934,"threshold_uncertainty_score":0.3532219},"labels":[],"label_agreement":null},{"id":"W2551937652","doi":"10.1016/j.procir.2016.10.008","title":"A VR-based Interactive System to Improve Users’ Involvement in OAP Development","year":2016,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Manufacturing Process and Optimization","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":"University of Manitoba","funders":"","keywords":"Computer science; Process (computing); Human–computer interaction; Product (mathematics); Interface (matter); User interface; Function (biology); The Internet; Architecture; Multimedia; World Wide Web; Operating system","score_opus":0.008300868098011558,"score_gpt":0.19887361634093,"score_spread":0.19057274824291845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551937652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81432104,0.0000757466,0.1799334,0.00022968333,0.0008673654,0.0010586097,0.000009563167,0.0006943738,0.0028102235],"genre_scores_gemma":[0.99527687,0.0000035878559,0.0041322964,0.00006708044,0.00004522111,0.00035278476,0.000003968666,0.000028838182,0.00008934581],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99918795,0.0000058572623,0.00022770198,0.00021013881,0.0001334719,0.00023487884],"domain_scores_gemma":[0.9996879,0.000030380237,0.000032142612,0.000115555245,0.0000486516,0.000085370986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010111713,0.00014445784,0.00013273409,0.00015767865,0.0000249672,0.000028898825,0.00011739337,0.00004950765,0.000025625866],"category_scores_gemma":[0.000031951702,0.00011156595,0.000017729019,0.00011582193,0.0000052719215,0.00013483939,0.000029061328,0.000059501257,0.00007662042],"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":[0.00051063875,0.00046583317,0.025065696,0.011901896,0.00030358904,0.00006169746,0.039647378,0.34426308,0.034132145,0.0008648222,0.0019810756,0.5408022],"study_design_scores_gemma":[0.002583553,0.00013477774,0.011897207,0.0022306535,0.000018478577,0.0000020108678,0.0008471986,0.05535198,0.90875053,0.000044236604,0.01708706,0.0010523258],"about_ca_topic_score_codex":0.0000098411765,"about_ca_topic_score_gemma":0.00005769767,"teacher_disagreement_score":0.87461835,"about_ca_system_score_codex":0.00044466858,"about_ca_system_score_gemma":0.000059490852,"threshold_uncertainty_score":0.45495272},"labels":[],"label_agreement":null},{"id":"W2593806599","doi":"10.1016/j.procir.2016.10.125","title":"Theoretical Assessment of Different Ultrasonic Configurations for Delamination Defects Detection in Composite Components","year":2017,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Ultrasonics and Acoustic Wave Propagation","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":"Université Laval","funders":"","keywords":"Delamination (geology); Composite number; Ultrasonic sensor; Materials science; Composite material; Ultrasonic testing; Acoustics; Structural engineering; Engineering; Geology; Physics; Seismology","score_opus":0.01059228580504624,"score_gpt":0.25485248060079063,"score_spread":0.2442601947957444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593806599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8360639,0.000019061441,0.16212614,0.000028844686,0.00021334946,0.00043158932,0.000017982939,0.000039006067,0.001060094],"genre_scores_gemma":[0.9988647,0.000029578054,0.00086210837,0.0000037848079,0.00004107075,0.00013071061,0.00004802824,0.000017334121,0.0000026533403],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993664,0.000011914912,0.00021959248,0.00012477601,0.00012599585,0.00015134102],"domain_scores_gemma":[0.99950767,0.00013272454,0.00008909705,0.00015269362,0.00008286092,0.00003496603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013294427,0.0001044869,0.00015042562,0.000068892354,0.00012307173,0.0000565339,0.0001161326,0.000066796754,0.000010241651],"category_scores_gemma":[0.00012976314,0.00010153271,0.000042496016,0.000031258987,0.00005833058,0.00011878667,0.000010327996,0.000104352745,0.0000010663231],"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":[0.000012161316,0.00010833713,0.006261445,0.00027908903,0.00002381433,3.816154e-7,0.0001422658,0.0027113822,0.9425462,0.040422905,0.0000040281516,0.0074880263],"study_design_scores_gemma":[0.00057873,0.000054189306,0.27291784,0.00006278191,0.000026569778,0.0000016354693,0.000017054534,0.58440614,0.13556844,0.0062528104,0.000004770709,0.000109019384],"about_ca_topic_score_codex":0.0000031095576,"about_ca_topic_score_gemma":0.000022691858,"teacher_disagreement_score":0.80697775,"about_ca_system_score_codex":0.00008642315,"about_ca_system_score_gemma":0.000014053058,"threshold_uncertainty_score":0.41403836},"labels":[],"label_agreement":null},{"id":"W2612535735","doi":"10.1016/j.procir.2017.01.012","title":"Continuing Education and Personalization of Design Methods to Improve their Acceptance in Practice – An Explorative Study","year":2017,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Design Education and Practice","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":"University of Waterloo","funders":"","keywords":"Personalization; Modular programming; Computer science; Control (management); Knowledge management; Design methods; Engineering management; Engineering; Management science; Artificial intelligence","score_opus":0.053448530713344544,"score_gpt":0.3978582196737088,"score_spread":0.3444096889603643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612535735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52004117,0.0009265765,0.46673608,0.00052815885,0.0013124985,0.0024532815,0.0000042542297,0.00012377274,0.007874216],"genre_scores_gemma":[0.92269844,0.000056082365,0.07679229,0.000058340353,0.000077394914,0.00022353086,0.0000015991915,0.00001902374,0.00007331525],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9992433,0.00020463961,0.00017671197,0.0001864973,0.000082472274,0.000106336476],"domain_scores_gemma":[0.9989985,0.00032723162,0.00015254515,0.00024761405,0.00020692116,0.00006719261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011029267,0.00010363984,0.00013622681,0.000091002694,0.000067471374,0.0001329901,0.00015246871,0.000036992664,0.000008409069],"category_scores_gemma":[0.0024180906,0.000105679195,0.000008601556,0.00011071785,0.000016955239,0.0017931088,0.000019222001,0.00010268473,0.0000025259742],"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":[0.00011252979,0.00060823315,0.0049252226,0.00010816064,0.000039912557,6.6716564e-7,0.22452113,0.00033116437,0.03999472,0.00050323247,0.00017903851,0.72867596],"study_design_scores_gemma":[0.0023297495,0.0013314507,0.19070157,0.00037189748,0.00026031674,0.000026342408,0.62852794,0.044808056,0.11793536,0.0019632634,0.010418063,0.0013260193],"about_ca_topic_score_codex":0.000029359373,"about_ca_topic_score_gemma":0.000024038383,"teacher_disagreement_score":0.72734994,"about_ca_system_score_codex":0.000034244298,"about_ca_system_score_gemma":0.0000719941,"threshold_uncertainty_score":0.43094727},"labels":[],"label_agreement":null},{"id":"W2612627576","doi":"10.1016/j.procir.2017.02.020","title":"Management of Heterogeneous Information for Integrated Design of Multidisciplinary Systems","year":2017,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Manufacturing Process and Optimization","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":"École de Technologie Supérieure","funders":"","keywords":"Multidisciplinary approach; Mechatronics; Systems engineering; Engineering; Process (computing); Software engineering; Computer science; Concurrent engineering; Data exchange; Engineering management; Process integration; World Wide Web; Artificial intelligence","score_opus":0.01787413453236496,"score_gpt":0.2329695860947545,"score_spread":0.21509545156238952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612627576","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036036834,0.00020536348,0.9617095,0.000006231913,0.00033011762,0.0008175888,0.000027712902,0.00008840703,0.0007782455],"genre_scores_gemma":[0.9875187,0.00010325812,0.012191853,5.407696e-7,0.000012604798,0.00011127463,0.000022512228,0.000010155501,0.000029054412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957186,0.0000023959842,0.00021593855,0.000051503812,0.0000730675,0.000085226486],"domain_scores_gemma":[0.9995837,0.000011244764,0.00013699492,0.00015959582,0.000089785564,0.000018645413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000878994,0.000073226875,0.000114741924,0.000050165567,0.000055245855,0.000031392596,0.00014868213,0.000041155356,0.0000023494626],"category_scores_gemma":[0.000014873899,0.00006725324,0.000022418222,0.000020799256,0.000014738181,0.00024730596,0.000023419432,0.000023812008,0.0000015311792],"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":[0.000029037568,0.000010494018,0.00009040005,0.0040014987,0.000048664835,3.3617405e-7,0.00031702404,0.9844759,0.000096881675,0.00015257111,0.00004764933,0.010729555],"study_design_scores_gemma":[0.0004085104,0.000041732972,0.000851077,0.0002226094,0.000029273337,0.0000013744578,0.000097483025,0.9689465,0.028969934,0.00010641012,0.00022221742,0.000102878745],"about_ca_topic_score_codex":0.0000055426553,"about_ca_topic_score_gemma":2.969986e-7,"teacher_disagreement_score":0.95148194,"about_ca_system_score_codex":0.000015243315,"about_ca_system_score_gemma":0.0000071080663,"threshold_uncertainty_score":0.27425078},"labels":[],"label_agreement":null},{"id":"W2613110796","doi":"10.1016/j.procir.2017.01.044","title":"Optimal Design of a Reconfigurable Machine Tool Considering Machine Configurations and Configuration Changes","year":2017,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Manufacturing Process and Optimization","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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control reconfiguration; Machine tool; Graph; Process (computing); Computer science; Engineering design process; Tree (set theory); Design process; Machining; Machine design; Control engineering; Engineering; Work in process; Mechanical engineering; Embedded system; Theoretical computer science; Mathematics","score_opus":0.023805326462606812,"score_gpt":0.22838273484023366,"score_spread":0.20457740837762686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613110796","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15295936,0.004778148,0.8056385,0.0016163902,0.0010120547,0.0023168765,0.0001939515,0.0009767251,0.030507986],"genre_scores_gemma":[0.9914658,0.00067288254,0.0074636186,0.000025077488,0.00005931248,0.00007347756,0.00003054883,0.00003203609,0.00017723408],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924624,0.0000117649915,0.00023905588,0.00019556427,0.00011367692,0.00019369114],"domain_scores_gemma":[0.9993794,0.000060787228,0.00014864806,0.00025765298,0.00009348339,0.000060035632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017147476,0.00017817412,0.0002319657,0.000086449945,0.0002691576,0.00017528856,0.00014258127,0.00008944002,0.00017226677],"category_scores_gemma":[0.00018095772,0.00017938776,0.000020396832,0.000033028566,0.000073604875,0.00034207274,0.00001762087,0.00012052963,0.000005510601],"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":[0.0001800457,0.00010194169,0.0024148282,0.0032168513,0.00031687508,0.000018888464,0.003970517,0.7868994,0.11157561,0.0045954827,0.0011476459,0.08556191],"study_design_scores_gemma":[0.0008710625,0.00009484345,0.0026100962,0.00012859983,0.000056526846,0.000029610646,0.00005186557,0.70526415,0.28857818,0.00033953684,0.0015719157,0.0004035955],"about_ca_topic_score_codex":0.00003774379,"about_ca_topic_score_gemma":0.000032510237,"teacher_disagreement_score":0.83850646,"about_ca_system_score_codex":0.000016170656,"about_ca_system_score_gemma":0.000029118373,"threshold_uncertainty_score":0.731522},"labels":[],"label_agreement":null},{"id":"W2802718178","doi":"10.1016/j.procir.2018.02.013","title":"Parasitic Inclinations in Cable-Driven Parallel Robots using Cable Loops","year":2018,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Robotic Mechanisms and Dynamics","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":"Université Laval","funders":"","keywords":"Workspace; Parallel manipulator; Reconfigurability; Robot; Orientation (vector space); Payload (computing); Modular design; Mechanism (biology); Computer science; Kinematics; Control theory (sociology); Frame (networking); Planar; Stewart platform; Engineering; Artificial intelligence; Mechanical engineering; Physics; Mathematics; Control (management); Geometry","score_opus":0.01987012598212593,"score_gpt":0.25160798895171704,"score_spread":0.23173786296959112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802718178","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.083023675,0.00016178847,0.9083395,0.00007837575,0.00072525034,0.00037694094,0.000007934133,0.00031490115,0.006971662],"genre_scores_gemma":[0.71397495,0.000036203073,0.2853724,0.000063985644,0.00023698117,0.00003658163,0.000012655085,0.000051254916,0.00021497258],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990463,0.000010845478,0.0002421605,0.00019420504,0.00013555898,0.00037091578],"domain_scores_gemma":[0.9995834,0.000036021178,0.000030375142,0.0001872597,0.00007032638,0.00009260341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001060132,0.0001491406,0.00018520039,0.00012990936,0.00009270913,0.00004026854,0.0001479066,0.000109781526,0.00010377412],"category_scores_gemma":[0.000062403255,0.00016328471,0.000030418738,0.00029075344,0.00003478629,0.00017879842,0.000027015198,0.00014741457,0.0000946753],"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":[0.000002328699,0.000025534155,0.0018193783,0.000058561636,0.00000998507,0.0000078301455,0.00038168038,0.9934343,0.0009580799,0.0028497898,0.00015987594,0.00029262694],"study_design_scores_gemma":[0.0003012859,0.000026540767,0.0009791831,0.000052171654,0.000014335971,0.000013645616,0.000050734878,0.99502605,0.00013138584,0.003140551,0.00006322741,0.00020088891],"about_ca_topic_score_codex":0.00013143849,"about_ca_topic_score_gemma":0.00029842078,"teacher_disagreement_score":0.6309513,"about_ca_system_score_codex":0.00012627877,"about_ca_system_score_gemma":0.00006262331,"threshold_uncertainty_score":0.66585577},"labels":[],"label_agreement":null},{"id":"W2810853631","doi":"10.1016/j.procir.2018.03.201","title":"Benchmarking of Pattern Recognition Techniques for Online Tool Wear Detection","year":2018,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":25,"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; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Benchmarking; Linear discriminant analysis; Robustness (evolution); Pattern recognition (psychology); Computer science; Artificial intelligence; Reliability (semiconductor); Machine learning; Tool wear; Data mining; Engineering; Machining","score_opus":0.012801645457264765,"score_gpt":0.24428617857377752,"score_spread":0.23148453311651276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810853631","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058754608,0.00005246806,0.94015145,0.000009420365,0.00020780077,0.00022806249,0.000027788186,0.00031135103,0.00025702955],"genre_scores_gemma":[0.9034545,0.00009764797,0.09575107,0.000025158699,0.0005074265,0.00006454235,0.000065376946,0.000028405106,0.000005891466],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995595,0.0000024243927,0.00015961706,0.00010863862,0.000057221343,0.00011256117],"domain_scores_gemma":[0.99969894,0.000024696543,0.000052598887,0.0000624515,0.0001452872,0.000016016718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000627242,0.00007939347,0.00008772576,0.00006411792,0.000042440606,0.000009450452,0.00004543631,0.000060171078,0.000015170032],"category_scores_gemma":[0.000065922424,0.00008464295,0.000024702686,0.0001059108,0.000017319891,0.0001516208,0.000008669196,0.000054413653,0.000002006577],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013805126,0.00001437886,0.00008947177,0.00032202824,0.000007971605,6.372015e-8,0.00016235009,0.00059482077,0.010074204,0.0000032039502,0.000030715397,0.988687],"study_design_scores_gemma":[0.00033135313,0.00040153394,0.00037714484,0.00022561528,0.00003605091,0.000005404013,0.00004866378,0.38791314,0.6046597,0.0022755757,0.0034345142,0.00029130204],"about_ca_topic_score_codex":0.0000026525238,"about_ca_topic_score_gemma":0.000023499719,"teacher_disagreement_score":0.9883957,"about_ca_system_score_codex":0.000020521582,"about_ca_system_score_gemma":0.000007460697,"threshold_uncertainty_score":0.34516394},"labels":[],"label_agreement":null},{"id":"W2892146436","doi":"10.1016/j.procir.2018.08.120","title":"Helical drilling of three-dimensional conical converging-diverging nozzle in steel using ultrashort laser pulses","year":2018,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Laser Material Processing Techniques","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":"Deutsche Forschungsgemeinschaft","keywords":"Nozzle; Conical surface; Materials science; Laser drilling; Ultrashort pulse laser; Laser; Optics; Drilling; Mechanical engineering; Mechanics; Engineering; Metallurgy; Ultrashort pulse; Composite material; Physics","score_opus":0.02068465973520113,"score_gpt":0.25048850530457384,"score_spread":0.22980384556937272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892146436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953652,0.00010536718,0.002855912,0.000029467952,0.00038081902,0.0001942054,0.000017085784,0.00049096916,0.0005609455],"genre_scores_gemma":[0.9912166,0.00000961333,0.008337563,0.00006779611,0.00027810945,0.000015383648,0.000009253857,0.000058297035,0.0000073701513],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99854237,0.000016961578,0.0004599807,0.00029537332,0.00028023866,0.00040508906],"domain_scores_gemma":[0.99938905,0.000080575664,0.00006829411,0.0002022915,0.00016948425,0.00009028165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026909454,0.00022581214,0.0003518747,0.0001503101,0.000066593755,0.00004577457,0.00023391735,0.00016728355,0.0001028696],"category_scores_gemma":[0.00014230123,0.0002288903,0.00005188871,0.0002642765,0.00020800086,0.00029620266,0.00009426226,0.00020834133,0.000017589837],"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":[0.0001853632,0.00019764101,0.06252079,0.0012953647,0.00010361195,0.00005019652,0.0007596944,0.011734534,0.9196964,0.0006292024,0.0010705707,0.0017566234],"study_design_scores_gemma":[0.00049402117,0.00006638377,0.002703335,0.00048117354,0.000029238307,0.000028907312,0.000020089092,0.17987409,0.81388956,0.0016956603,0.0003070584,0.00041048383],"about_ca_topic_score_codex":0.00005199447,"about_ca_topic_score_gemma":0.00005325033,"teacher_disagreement_score":0.16813956,"about_ca_system_score_codex":0.00009881353,"about_ca_system_score_gemma":0.000088001616,"threshold_uncertainty_score":0.9333876},"labels":[],"label_agreement":null},{"id":"W2894162866","doi":"10.1016/j.procir.2018.09.028","title":"Interdependence Between Tool Misalignment and Cutting Forces in Ultraprecise Single Point Inverted Cutting","year":2018,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced Surface Polishing Techniques","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; Western University","funders":"","keywords":"Single point; Point (geometry); Geometry; Geology; Geodesy; Mathematics; Physics; Mechanics","score_opus":0.015119544473820622,"score_gpt":0.2428555227131007,"score_spread":0.22773597823928007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894162866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97099715,0.00022767262,0.022750324,0.00008967107,0.00013212972,0.00033645105,0.00000847434,0.0008423095,0.00461584],"genre_scores_gemma":[0.97491264,0.000048711227,0.02471164,0.00004520128,0.00016299053,0.000040529318,0.000006000335,0.000050457867,0.000021814663],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987147,0.000018969953,0.0003599821,0.00030466626,0.00017708003,0.00042459418],"domain_scores_gemma":[0.99944615,0.00015818591,0.000063242194,0.00019880323,0.000050756058,0.00008285309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026757983,0.00021546124,0.0002398905,0.00013334354,0.00006436961,0.00008000287,0.0002246347,0.00010854348,0.000025620337],"category_scores_gemma":[0.0004241177,0.00023424618,0.000026682352,0.00019974019,0.00008618268,0.00054537016,0.00011172236,0.0002445783,0.00000925253],"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":[0.00005547111,0.00012304854,0.33065352,0.0013173857,0.00013864187,0.000025965446,0.03506327,0.0006914697,0.3224593,0.00047732564,0.0049688234,0.30402577],"study_design_scores_gemma":[0.0006026175,0.00023252411,0.005989079,0.0009594202,0.000027093516,0.000016613367,0.000738435,0.029587116,0.9474831,0.011853324,0.0016607401,0.00084989844],"about_ca_topic_score_codex":0.000037599584,"about_ca_topic_score_gemma":0.000043343025,"teacher_disagreement_score":0.62502384,"about_ca_system_score_codex":0.00015323138,"about_ca_system_score_gemma":0.000012954543,"threshold_uncertainty_score":0.95522815},"labels":[],"label_agreement":null},{"id":"W2901178560","doi":"10.1016/j.procir.2018.08.171","title":"A model retrieving based method for bolus shaping","year":2018,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Medical Image Segmentation Techniques","field":"Computer Science","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":"CancerCare Manitoba; University of Manitoba","funders":"U.S. Department of Agriculture","keywords":"Bolus (digestion); Computer science; Computer vision; Segmentation; Artificial intelligence; Medicine; Surgery","score_opus":0.0852788802681201,"score_gpt":0.37873186426247035,"score_spread":0.29345298399435027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901178560","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004883367,0.000038255064,0.9967432,0.0010507735,0.00013143333,0.00038288144,0.0000022416812,0.0005310426,0.0010713505],"genre_scores_gemma":[0.021798015,0.0000021014612,0.97278297,0.00495975,0.00016180308,0.00013949834,0.0000023141633,0.000013071582,0.00014045525],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883914,0.000027852682,0.00021421985,0.00037901098,0.00027088256,0.00026888814],"domain_scores_gemma":[0.9990085,0.00019553374,0.00009578311,0.00031327584,0.00026687275,0.00012003279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008020972,0.000102809296,0.00013077832,0.0001033011,0.00013074695,0.000119945966,0.00063379266,0.000061089166,0.00002118559],"category_scores_gemma":[0.0010197405,0.000099526325,0.000051688818,0.00029952385,0.00004760459,0.0004160296,0.00011637331,0.000085572676,0.000016472257],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003198891,0.00009508092,0.0001064878,0.0003030372,0.000020367883,0.0000037113039,0.0021975252,0.000054121803,0.07052861,0.014722747,0.038971435,0.87296486],"study_design_scores_gemma":[0.00021466223,0.00006241602,0.00001437437,0.000032791144,0.000004340628,0.0000018327569,0.000005151414,0.8176404,0.17313436,0.008338296,0.00044392346,0.00010740523],"about_ca_topic_score_codex":0.000003626032,"about_ca_topic_score_gemma":0.0000012817029,"teacher_disagreement_score":0.87285745,"about_ca_system_score_codex":0.00004613087,"about_ca_system_score_gemma":0.00019599797,"threshold_uncertainty_score":0.40585658},"labels":[],"label_agreement":null},{"id":"W2901321022","doi":"10.1016/j.procir.2018.08.311","title":"A VR-based user interface for the upper limb rehabilitation","year":2018,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","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":"University of Manitoba","funders":"University of Manitoba","keywords":"Rehabilitation; Virtual reality; Adaptability; Interface (matter); Human–computer interaction; Software deployment; Computer science; Process (computing); User interface; Quality function deployment; Simulation; Engineering; Physical therapy; Medicine; Operations management; Software engineering","score_opus":0.014946985438107203,"score_gpt":0.30845936750758857,"score_spread":0.2935123820694814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901321022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93557394,0.0006455586,0.024620824,0.031196788,0.0015912512,0.002777322,0.000017269565,0.00018880014,0.003388235],"genre_scores_gemma":[0.985538,0.0000075996218,0.009850733,0.0014890265,0.0006428905,0.00030564982,0.000007046063,0.000024130191,0.0021348954],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992391,0.000019502546,0.00019240518,0.0002128976,0.00016028836,0.00017582881],"domain_scores_gemma":[0.9977731,0.0014841201,0.000055267807,0.00024421696,0.00037707752,0.00006621537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002767224,0.00009990136,0.00014202073,0.000086512315,0.00010571906,0.00001999078,0.000076217075,0.00007319392,0.00019496669],"category_scores_gemma":[0.0026242167,0.000061893574,0.00016221088,0.00014580933,0.00019336026,0.00006406791,0.000012207988,0.00009070865,0.00014074123],"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":[0.008706557,0.0017653105,0.4578229,0.0037449342,0.00050240575,0.0000018219594,0.021738257,0.00007268278,0.046049714,0.0052296477,0.3078428,0.14652298],"study_design_scores_gemma":[0.0036491908,0.0055222064,0.23954317,0.00030672882,0.00020368372,0.000011776734,0.00249893,0.006566712,0.018035,0.00081662775,0.7225772,0.0002687581],"about_ca_topic_score_codex":0.000005335725,"about_ca_topic_score_gemma":0.00000847987,"teacher_disagreement_score":0.41473442,"about_ca_system_score_codex":0.000059040045,"about_ca_system_score_gemma":0.00014814122,"threshold_uncertainty_score":0.31416222},"labels":[],"label_agreement":null},{"id":"W2944140571","doi":"10.1016/j.procir.2019.01.029","title":"Carbon Footprint Estimation for Oil Production: Iraq Case Study for The Utilization of Waste Gas in Generating Electricity","year":2019,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Global Energy and Sustainability Research","field":"Energy","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 Windsor","funders":"","keywords":"Fossil fuel; Carbon footprint; Waste management; Electricity generation; Environmental science; Electricity; Associated petroleum gas; Unconventional oil; Environmental engineering; Greenhouse gas; Petroleum engineering; Engineering; Natural gas; Geology; Power (physics)","score_opus":0.03642701273318384,"score_gpt":0.3139840579067482,"score_spread":0.2775570451735644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944140571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997066,0.00012833596,0.0006763382,0.00024038374,0.00016264482,0.0013936657,0.0000013155618,0.000026154956,0.00030513408],"genre_scores_gemma":[0.9981215,0.0000079789115,0.0005548003,0.000007405877,0.00012999898,0.0008360069,0.000007790077,0.000015371257,0.0003191592],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988421,0.00007213196,0.00031077262,0.00030871062,0.00019832951,0.000267946],"domain_scores_gemma":[0.9989129,0.00020484504,0.000095407784,0.00026489285,0.00049386284,0.000028104974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009011791,0.00010795055,0.00016845713,0.000087209664,0.00011908043,0.000024238469,0.000118416545,0.000063754014,0.0000025393072],"category_scores_gemma":[0.0017134165,0.00008599643,0.000047567613,0.00041214176,0.000029872583,0.000055535744,0.000036301943,0.00009760435,3.2697162e-7],"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":[0.00037113222,0.00049457035,0.010750213,0.0009561293,0.000049081857,0.0000068102336,0.003326111,0.5609703,0.0028445122,0.0047800904,0.0000065598438,0.41544452],"study_design_scores_gemma":[0.001298543,0.0005665085,0.0003380182,0.000021711276,0.000035839814,0.000040509345,0.007793175,0.95554096,0.030832037,0.0032064235,0.00016411806,0.00016215236],"about_ca_topic_score_codex":0.0023443438,"about_ca_topic_score_gemma":0.0034613917,"teacher_disagreement_score":0.41528237,"about_ca_system_score_codex":0.00013988937,"about_ca_system_score_gemma":0.00015705895,"threshold_uncertainty_score":0.35439622},"labels":[],"label_agreement":null},{"id":"W2944455432","doi":"10.1016/j.procir.2019.01.007","title":"Comparison of environmental assessment methodology in hybrid energy system simulation software","year":2019,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Hybrid Renewable Energy Systems","field":"Energy","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":"Université de Sherbrooke","funders":"Agence Nationale de la Recherche","keywords":"Fossil fuel; Software; Life-cycle assessment; Upstream (networking); TRNSYS; Environmental impact assessment; Renewable energy; Engineering; Environmental economics; Environmental science; Systems engineering; Environmental resource management; Computer science; Energy (signal processing); Production (economics); Waste management","score_opus":0.044514010490325225,"score_gpt":0.32575241200275895,"score_spread":0.28123840151243373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944455432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9488837,0.00055309874,0.04081181,0.00001471903,0.0011933572,0.00033679212,0.00002617001,0.00018269879,0.007997648],"genre_scores_gemma":[0.9946593,0.000007162146,0.004373793,0.000022351516,0.00013981886,0.00007284583,0.00009265134,0.000056638866,0.0005754501],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99744916,0.00042393207,0.0008376429,0.0004826818,0.0004226091,0.00038399379],"domain_scores_gemma":[0.9984621,0.0005636089,0.0004153781,0.00043769297,0.000032977845,0.00008828396],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005391994,0.0002521477,0.00076076516,0.00024822768,0.000035327783,0.0000146813545,0.0002789282,0.00013990083,0.00018114397],"category_scores_gemma":[0.00008017293,0.0002553286,0.00010284695,0.00017788599,0.000044453176,0.00015083287,0.00010047401,0.00015113021,0.00006405678],"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":[0.000040283947,0.00016358812,0.1995311,0.00030899092,0.0000553084,0.000009092592,0.00025202127,0.7734056,0.0124289105,0.0051849964,0.000035424728,0.00858467],"study_design_scores_gemma":[0.0031307752,0.00042635368,0.050853737,0.0004054504,0.00008215532,0.000058516544,0.0025315948,0.8371388,0.08498127,0.00052642036,0.018849002,0.0010159537],"about_ca_topic_score_codex":0.0013837352,"about_ca_topic_score_gemma":0.0002606334,"teacher_disagreement_score":0.14867735,"about_ca_system_score_codex":0.0004675656,"about_ca_system_score_gemma":0.00009353774,"threshold_uncertainty_score":0.99998987},"labels":[],"label_agreement":null},{"id":"W2954595837","doi":"10.1016/j.procir.2019.04.132","title":"Remanufacturing Network Design for Dual-Channel Closed-Loop Supply Chain","year":2019,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":21,"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 Windsor","funders":"","keywords":"Remanufacturing; Supply chain; Closed loop; Profit (economics); Reverse logistics; Supply chain network; Channel (broadcasting); Business; Dual (grammatical number); Industrial organization; Computer science; Supply chain management; Manufacturing engineering; Operations research; Engineering; Microeconomics; Marketing; Economics; Computer network; Control engineering","score_opus":0.016077566542034658,"score_gpt":0.21064459732981658,"score_spread":0.19456703078778192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954595837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5290221,0.002742057,0.28959778,0.026512478,0.01683768,0.043266818,0.000029984141,0.00526732,0.08672378],"genre_scores_gemma":[0.9774394,0.000019565692,0.0031479762,0.004019587,0.0053616045,0.00079149107,0.00009182647,0.00016942393,0.008959151],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972985,0.000016111388,0.00042079127,0.00073012774,0.00040856385,0.0011259026],"domain_scores_gemma":[0.99869657,0.00020643337,0.00030306718,0.00050261844,0.00025687824,0.000034426306],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012886279,0.0004075037,0.00040055747,0.00034293198,0.00029561194,0.00044193253,0.00042693966,0.00013589852,0.00033626147],"category_scores_gemma":[0.00027857284,0.00041274677,0.0001610623,0.00052043056,0.00003557802,0.0010458799,0.0003721764,0.0001894307,0.00074488245],"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":[0.0012196117,0.00046123203,0.021853706,0.011715002,0.0005584629,0.00016196947,0.00087254995,0.25767767,0.0004540326,0.085327394,0.5959563,0.023742065],"study_design_scores_gemma":[0.006746504,0.00019660368,0.008776107,0.000514881,0.00042529198,0.000011246466,0.0036555377,0.21606444,0.0013009817,0.15910307,0.6003029,0.0029024358],"about_ca_topic_score_codex":0.00008117529,"about_ca_topic_score_gemma":0.000016206955,"teacher_disagreement_score":0.44841728,"about_ca_system_score_codex":0.00011726642,"about_ca_system_score_gemma":0.000051740473,"threshold_uncertainty_score":0.99983245},"labels":[],"label_agreement":null},{"id":"W2955540682","doi":"10.1016/j.procir.2019.04.235","title":"Effect of axial vibrations on regenerative chatter in robotic milling","year":2019,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","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 Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vibration; Engineering; Mechanical engineering; Regenerative medicine; Materials science; Computer science; Control engineering; Structural engineering; Acoustics; Physics; Chemistry","score_opus":0.0037299365526223295,"score_gpt":0.2197567218520342,"score_spread":0.21602678529941188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955540682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8706703,0.00038157194,0.12272649,0.00006785373,0.00060491025,0.00057957385,0.0000040261675,0.00016144155,0.004803834],"genre_scores_gemma":[0.99806696,0.000032245807,0.001706737,0.000022686912,0.000057434347,0.000028054179,0.000013710637,0.000021100432,0.000051097966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956787,0.000010316051,0.0001274902,0.0001124966,0.000071221555,0.00011062292],"domain_scores_gemma":[0.9997763,0.00007981553,0.000026847172,0.00007908032,0.00001960738,0.000018324487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000064085274,0.000091675065,0.0001382531,0.00007865861,0.0000150920805,0.00000821051,0.000049835853,0.000043503394,0.000022909438],"category_scores_gemma":[0.000044139953,0.00008345434,0.000019941373,0.00014471306,0.0000071592262,0.00011829751,0.0000071068584,0.00009991271,0.000023851091],"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":[0.000016649621,0.0000066577413,0.0014917307,0.00023232965,0.000004893515,3.2796635e-7,0.00034819587,0.9923405,0.0039309408,0.00024262688,0.000014764259,0.001370403],"study_design_scores_gemma":[0.000756167,0.00040648328,0.0004648866,0.0001917746,0.000011329105,0.0000012069052,0.00002094151,0.8315379,0.16620426,0.00015516697,0.00005427628,0.00019557607],"about_ca_topic_score_codex":0.0000013108496,"about_ca_topic_score_gemma":0.000004157834,"teacher_disagreement_score":0.16227332,"about_ca_system_score_codex":0.000022710472,"about_ca_system_score_gemma":0.0000084619705,"threshold_uncertainty_score":0.34031692},"labels":[],"label_agreement":null},{"id":"W3034679470","doi":"10.1016/j.procir.2020.05.133","title":"Effects of clamping force on carrying energy ability of a harmonic scalpel","year":2020,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Ultrasound and Hyperthermia Applications","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 Toronto","funders":"","keywords":"Clamping; Harmonic scalpel; Harmonic; Stiffness; Spring (device); Mechanics; Engineering; Materials science; Mechanical engineering; Structural engineering; Acoustics; Physics; Surgery; Medicine","score_opus":0.007801541308905345,"score_gpt":0.1881527156137267,"score_spread":0.18035117430482137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034679470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905497,0.00053545716,0.0064383433,0.00010109309,0.000042540418,0.00016284816,0.000006443357,0.00014154341,0.002022043],"genre_scores_gemma":[0.99944556,0.000051566403,0.00027763203,0.000078770085,0.00006502121,0.000052440624,0.0000029496305,0.000020081845,0.0000059584413],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99948937,0.000006433166,0.00016441349,0.00012648584,0.00009267167,0.00012063144],"domain_scores_gemma":[0.99961424,0.00015255154,0.00003384192,0.00010915994,0.000030440606,0.000059767557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000030466912,0.00008742526,0.0001665913,0.000024580106,0.000021355841,0.0000046343716,0.00010981747,0.00004863515,0.000007455933],"category_scores_gemma":[0.00008555725,0.000087657354,0.000057705183,0.00015697895,0.000026206979,0.00003732314,0.000012040856,0.0000787291,0.0000041542858],"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":[0.000011164674,0.000029612702,0.00076247065,0.0012220432,0.00003099524,3.075093e-7,0.0009993401,0.0011617967,0.9864542,0.0015996442,0.000072318595,0.0076561216],"study_design_scores_gemma":[0.0005357792,0.00008676079,0.0152760185,0.000117990276,0.000050753377,0.0000012255549,0.00005955492,0.013998647,0.96727103,0.0010205936,0.0013739717,0.00020765567],"about_ca_topic_score_codex":0.000008868208,"about_ca_topic_score_gemma":0.0000017067664,"teacher_disagreement_score":0.019183135,"about_ca_system_score_codex":0.000017899303,"about_ca_system_score_gemma":0.000018751081,"threshold_uncertainty_score":0.35745633},"labels":[],"label_agreement":null},{"id":"W3048356725","doi":"10.1016/j.procir.2020.02.139","title":"Integration of life cycle assessment with energy simulation software for polymer exchange membrane (PEM) electrolysis","year":2020,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Hybrid Renewable Energy Systems","field":"Energy","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 de Sherbrooke","funders":"","keywords":"Scope (computer science); Polymer electrolyte membrane electrolysis; Life-cycle assessment; Software; Electrolysis; Systems engineering; Computer science; Engineering; Process engineering; Risk analysis (engineering); Production (economics); Business; Chemistry","score_opus":0.017248696676692626,"score_gpt":0.24659064332788033,"score_spread":0.2293419466511877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048356725","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.110159665,0.001284138,0.88223577,0.001151391,0.0002779682,0.0006543706,0.00005318195,0.0005165386,0.0036669536],"genre_scores_gemma":[0.9941992,0.000028766432,0.0034961675,0.00050123554,0.0006437219,0.0003689209,0.00023384916,0.00008527932,0.0004428377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825764,0.000073453215,0.00047288655,0.00044167138,0.00041463107,0.00033970684],"domain_scores_gemma":[0.99865407,0.00020971322,0.00033529862,0.00024711346,0.0003486715,0.00020511958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014242418,0.00026169047,0.00046488788,0.00012484286,0.00008593874,0.00003758642,0.00020055976,0.00012051224,0.00011870003],"category_scores_gemma":[0.00031271382,0.00022256699,0.00010926578,0.00058011786,0.000032896634,0.00024154554,0.00002991618,0.00008778976,0.0000041783946],"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":[0.00064721407,0.00016575571,0.0007022437,0.00070105126,0.00043426538,0.0000033363194,0.0011708918,0.8324668,0.11552295,0.006393281,0.00045005267,0.041342188],"study_design_scores_gemma":[0.0024618246,0.00075178844,0.00025796078,0.000094982,0.00019974577,0.0000033263366,0.0002281618,0.6766373,0.3057179,0.0002130953,0.012863188,0.0005707627],"about_ca_topic_score_codex":0.001244348,"about_ca_topic_score_gemma":0.0009912618,"teacher_disagreement_score":0.8840396,"about_ca_system_score_codex":0.00008818545,"about_ca_system_score_gemma":0.00027212646,"threshold_uncertainty_score":0.90760183},"labels":[],"label_agreement":null},{"id":"W3051936404","doi":"10.1016/j.procir.2020.02.169","title":"Objective based process model for enhancing the product maturity level in the early phase of a development process","year":2020,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Product Development and Customization","field":"Business, Management and Accounting","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 Toronto","funders":"","keywords":"Process (computing); Process management; New product development; Selection (genetic algorithm); Systems engineering; Process modeling; Phase (matter); Computer science; Product (mathematics); Engineering; Capability Maturity Model; Industrial engineering; Management science; Work in process; Operations management; Artificial intelligence; Software; Business; Mathematics","score_opus":0.052219279982297674,"score_gpt":0.27392876512700925,"score_spread":0.2217094851447116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3051936404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95655745,0.000108309265,0.03202929,0.0066478187,0.00011915365,0.003526679,0.0000087868775,0.00011623499,0.00088627066],"genre_scores_gemma":[0.99586964,9.507328e-7,0.00078450894,0.0020039373,0.0004178909,0.00082307466,0.0000446463,0.00002834862,0.000027004513],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983848,0.000011245905,0.0004471694,0.00043183556,0.0004155816,0.0003093977],"domain_scores_gemma":[0.998912,0.000049615297,0.00033101375,0.00015941274,0.00053545396,0.000012529582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087816524,0.00021687384,0.00022950121,0.000113502836,0.00024075925,0.00013885288,0.00053889805,0.000047430498,0.000007102795],"category_scores_gemma":[0.0008762607,0.0001402179,0.000044740988,0.0009763769,0.00004627845,0.00077835785,0.000050372408,0.00017729717,0.000008875641],"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":[0.011167308,0.007434174,0.11219814,0.059319105,0.00061711343,0.00002215749,0.59803176,0.04668073,0.02538138,0.013721101,0.012184347,0.1132427],"study_design_scores_gemma":[0.010064755,0.000106349304,0.026576208,0.00060714973,0.0002875857,0.0000026856303,0.009583177,0.8027898,0.13178656,0.013492815,0.0029176765,0.0017852085],"about_ca_topic_score_codex":0.000009223924,"about_ca_topic_score_gemma":0.000074078846,"teacher_disagreement_score":0.7561091,"about_ca_system_score_codex":0.000028464952,"about_ca_system_score_gemma":0.00052665983,"threshold_uncertainty_score":0.571792},"labels":[],"label_agreement":null},{"id":"W3067746826","doi":"10.1016/j.procir.2020.05.185","title":"Geometric Tolerance Characterization of Laser Powder Bed Fusion Processes Based on Skin Model Shapes","year":2020,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Manufacturing Process and Optimization","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":"University of Alberta; Alberta Energy","funders":"","keywords":"Geometric dimensioning and tolerancing; Dimensioning; Fusion; Geometric shape; Geometric modeling; Characterization (materials science); Shrinkage; Materials science; Geometric design; Computer science; Mechanical engineering; Biological system; Engineering drawing; Geometry; Mathematics; Engineering; Composite material; Nanotechnology","score_opus":0.01159972114326192,"score_gpt":0.19197861109094397,"score_spread":0.18037888994768206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3067746826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7045575,0.00011815723,0.2926337,0.0003446682,0.00009749199,0.000437966,0.000055537053,0.0004910119,0.0012639394],"genre_scores_gemma":[0.99811405,0.00011282156,0.0011350228,0.00034729613,0.00009487325,0.000044137432,0.00008609061,0.000041395993,0.000024313422],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915904,0.0000046923283,0.00022641482,0.00021595917,0.0002299381,0.00016392994],"domain_scores_gemma":[0.9996132,0.000024355464,0.00007613704,0.00008067265,0.00013104638,0.00007456638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004108505,0.00016314571,0.00018251853,0.00015782918,0.000038776478,0.000028791022,0.00013168313,0.00008124318,0.00008102787],"category_scores_gemma":[0.000114031325,0.00015875988,0.000029706132,0.00066208694,0.000010878133,0.00020614889,0.000014992405,0.000097630545,0.000011826482],"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":[0.000038036913,0.0000370063,0.0002451072,0.0018530566,0.0000053699328,4.3842255e-7,0.0003640145,0.98943084,0.0050689704,0.0000063266157,0.00006350262,0.0028873114],"study_design_scores_gemma":[0.00026312566,0.00003768187,0.0011152156,0.000061753184,0.000009565165,1.4486437e-7,0.000004215683,0.79475194,0.20342399,0.000012764433,0.00017396847,0.00014562794],"about_ca_topic_score_codex":8.65443e-7,"about_ca_topic_score_gemma":6.1544654e-7,"teacher_disagreement_score":0.29355654,"about_ca_system_score_codex":0.000016224072,"about_ca_system_score_gemma":0.00004436327,"threshold_uncertainty_score":0.647404},"labels":[],"label_agreement":null},{"id":"W3087775605","doi":"10.1016/j.procir.2020.04.044","title":"A Genetic Algorithm-Based Model for Product Platform Design for Hybrid Manufacturing","year":2020,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Product Development and Customization","field":"Business, Management and Accounting","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 Windsor","funders":"","keywords":"Variety (cybernetics); Product proliferation; Product (mathematics); Genetic algorithm; Order (exchange); Manufacturing engineering; Build to order; Product design; Computer science; Engineering; New product development; Industrial engineering; Mathematics; Artificial intelligence; Production (economics); Product management; Machine learning; Business","score_opus":0.048561952708290584,"score_gpt":0.21634598921741896,"score_spread":0.16778403650912838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087775605","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007732399,0.000081889484,0.98696506,0.0022277876,0.0002118982,0.0023474242,0.000009731959,0.00027476405,0.00014901662],"genre_scores_gemma":[0.75399566,0.0000047636413,0.23687524,0.004253442,0.0032503717,0.0011303654,0.00019666349,0.000095501986,0.00019798348],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987325,0.0000014789471,0.000257294,0.00048172835,0.00017244184,0.00035455043],"domain_scores_gemma":[0.99946994,0.000029178029,0.00016202033,0.00012646466,0.00018810823,0.00002427199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020988,0.00021033968,0.00019200754,0.00010641662,0.00020905749,0.00018639026,0.00023280941,0.000034619363,0.000014355971],"category_scores_gemma":[0.00026054346,0.00020590259,0.00007239631,0.00013908895,0.000016207565,0.0006305972,0.00004525378,0.000060089424,0.000037905116],"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":[0.0018041879,0.00034309106,0.0011794135,0.008331235,0.00021062429,0.000009219461,0.00093043083,0.3159388,0.0031678653,0.0016551579,0.15626721,0.5101628],"study_design_scores_gemma":[0.0011371217,0.00001511812,0.00011026874,0.000017687917,0.00006553292,5.076818e-7,0.000013409583,0.9642807,0.017910963,0.005382635,0.01074922,0.00031680198],"about_ca_topic_score_codex":0.000001987511,"about_ca_topic_score_gemma":0.0000010800056,"teacher_disagreement_score":0.7500898,"about_ca_system_score_codex":0.000028645005,"about_ca_system_score_gemma":0.00011410049,"threshold_uncertainty_score":0.83964634},"labels":[],"label_agreement":null},{"id":"W3136559195","doi":"10.1016/j.procir.2021.01.031","title":"Comparison of the environmental impacts of online and classical conferences: the case of LCE 2020 and perspectives regarding the planetary boundaries","year":2021,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Conferences and Exhibitions Management","field":"Social Sciences","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":"Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Order (exchange); Planetary boundaries; Event (particle physics); Political science; Engineering; Geography; Business; Physics","score_opus":0.03685168817956302,"score_gpt":0.30519141296560964,"score_spread":0.2683397247860466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136559195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867894,0.0027528454,0.000007512908,0.008454206,0.000051880423,0.00015868411,0.000059813257,0.0000031342624,0.0017225167],"genre_scores_gemma":[0.99913716,0.0006879907,0.000035992114,0.000029033836,0.00004676065,0.0000027633657,0.0000040308087,0.0000019067559,0.000054340322],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99936116,0.00010727954,0.00015543216,0.00011553413,0.00016387345,0.00009673877],"domain_scores_gemma":[0.9994731,0.00022053966,0.00013101468,0.00011073069,0.00003600457,0.00002861926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021715325,0.00005857044,0.00014444522,0.000010488535,0.00045367607,0.00006518545,0.0001133046,0.000027433489,0.00005607013],"category_scores_gemma":[0.00016803064,0.000030759053,0.00003262958,0.000090199115,0.0019117572,0.000056627097,0.00012593395,0.000096813805,1.3852839e-7],"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":[0.000074533724,0.00046410444,0.3991421,0.000262133,0.00024209265,0.000025850519,0.40610766,0.000014312492,0.001007224,0.16526031,0.001903567,0.025496116],"study_design_scores_gemma":[0.00028937744,0.00009705927,0.18526886,0.00008793029,0.00014212226,0.000035922294,0.8013145,0.00071615435,0.00069380703,0.0031855032,0.008068832,0.00009994776],"about_ca_topic_score_codex":0.0014205272,"about_ca_topic_score_gemma":0.015377462,"teacher_disagreement_score":0.3952068,"about_ca_system_score_codex":0.000012597058,"about_ca_system_score_gemma":0.00020441013,"threshold_uncertainty_score":0.85809845},"labels":[],"label_agreement":null},{"id":"W3167446380","doi":"10.1016/j.procir.2021.05.009","title":"An ontology model to support the automated design of aquaponic grow beds","year":2021,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Innovations in Aquaponics and Hydroponics Systems","field":"Agricultural and Biological Sciences","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":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aquaponics; Agricultural engineering; Footprint; Systems design; Engineering; Selection (genetic algorithm); Agriculture; Computer science; Aquaculture; Fish <Actinopterygii>; Systems engineering; Artificial intelligence; Ecology; Biology","score_opus":0.052834915709289866,"score_gpt":0.2880172187977187,"score_spread":0.23518230308842883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167446380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98908967,0.00015382376,0.0026647092,0.004466358,0.0003108202,0.00051275926,0.000054242755,0.000237903,0.0025097246],"genre_scores_gemma":[0.9975172,0.000014965394,0.0011524892,0.00080582534,0.00010015067,0.000053758846,0.000059919374,0.0000018021045,0.00029386167],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988251,0.00008995981,0.00032838972,0.00027538536,0.0002051726,0.00027600076],"domain_scores_gemma":[0.99924105,0.0001113951,0.00011055768,0.0001416267,0.00032860346,0.000066773224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053062727,0.000115124654,0.00019344466,0.000017343922,0.0001847577,0.000049994163,0.00040004458,0.00010881911,0.00014083591],"category_scores_gemma":[0.00010756594,0.00004354877,0.000050097493,0.0006436997,0.000047246624,0.00008385669,0.000059376616,0.00010627407,0.00003995729],"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":[0.000043158663,0.00034751798,0.0010866403,0.00003223142,0.00004634579,0.000012453689,0.0011540063,0.009189735,0.90722704,0.062583804,0.008400813,0.0098762335],"study_design_scores_gemma":[0.0003326255,0.0013409143,0.0046918984,0.000041260482,0.00004939678,0.00009332812,0.0008969984,0.9248729,0.04022917,0.01980405,0.0070656533,0.0005818212],"about_ca_topic_score_codex":0.000052123072,"about_ca_topic_score_gemma":0.00032373058,"teacher_disagreement_score":0.91568315,"about_ca_system_score_codex":0.000026988531,"about_ca_system_score_gemma":0.00012525749,"threshold_uncertainty_score":0.17758673},"labels":[],"label_agreement":null},{"id":"W3167997049","doi":"10.1016/j.procir.2021.05.026","title":"Design and simulation of an automated robotic machining cell for cross-laminated timber panels","year":2021,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Innovations in Concrete and Construction Materials","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":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"Mitacs; University of Alberta","keywords":"Machining; Automation; Flexibility (engineering); Clamping; Engineering; Manufacturing engineering; Robot; Numerical control; Mechanical engineering; Computer science; Artificial intelligence","score_opus":0.021638263914334776,"score_gpt":0.2892758200700045,"score_spread":0.26763755615566975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167997049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75618494,0.000044975488,0.24279541,0.0000037603736,0.00024789397,0.00017118602,0.00000776698,0.00031743912,0.00022666235],"genre_scores_gemma":[0.95460767,0.0000033912297,0.04518683,0.000011032976,0.000043578882,0.000025546078,0.000045487268,0.000021932552,0.000054535645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994556,0.000017993969,0.00023268243,0.00012227787,0.00005756697,0.00011392276],"domain_scores_gemma":[0.99950767,0.00009707809,0.000048010992,0.000094437455,0.00023193212,0.000020902198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014433656,0.00008414645,0.00013020911,0.00005534295,0.00005521615,0.00005593707,0.000038319497,0.0000745255,0.000042452273],"category_scores_gemma":[0.00006807483,0.00009487805,0.00001326692,0.00015486634,0.00002441687,0.00017068695,0.00000985815,0.000038159968,0.0000024435967],"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":[0.000008422559,0.0000046228674,0.00014113533,0.00021419663,0.000012831622,0.0000010758733,0.00021956251,0.85555243,0.14218247,0.00007159075,0.000014194072,0.0015774689],"study_design_scores_gemma":[0.00026688864,0.000017249718,0.00045183563,0.0000138712,0.000014280215,0.0000070988694,0.000028156026,0.76627666,0.23258671,0.00021829939,0.000035778794,0.00008319223],"about_ca_topic_score_codex":5.94689e-7,"about_ca_topic_score_gemma":1.1485037e-7,"teacher_disagreement_score":0.19842276,"about_ca_system_score_codex":0.000012994218,"about_ca_system_score_gemma":0.000031469765,"threshold_uncertainty_score":0.38690144},"labels":[],"label_agreement":null},{"id":"W3170796456","doi":"10.1016/j.procir.2021.05.023","title":"Simplification and unfolding of 3D mesh models: review and evaluation of existing tools","year":2021,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"3D Shape Modeling and Analysis","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 Manitoba","funders":"","keywords":"Polygon mesh; Software; Computer science; Mesh generation; Planar; Set (abstract data type); Process (computing); Hausdorff distance; Level of detail; 3d model; Automation; Engineering drawing; Surface (topology); Computational science; Computer graphics (images); Algorithm; Geometry; Artificial intelligence; Engineering; Finite element method; Mechanical engineering; Mathematics; Structural engineering; Programming language","score_opus":0.14291936381158732,"score_gpt":0.32049592547421824,"score_spread":0.17757656166263092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170796456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7195305,0.21986872,0.05317433,0.00015327468,0.000044910048,0.00031031162,0.000018186125,0.00009394457,0.006805814],"genre_scores_gemma":[0.98980045,0.008271023,0.0018607884,0.000012593343,0.000012906113,0.000012242414,0.000013181429,0.000007906479,0.000008881587],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946123,0.000016585263,0.00021592232,0.00010453612,0.00014241293,0.000059305476],"domain_scores_gemma":[0.9995334,0.00003966338,0.00005282115,0.00008968391,0.00026353297,0.000020864753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004428578,0.000055692286,0.00017507836,0.000033631106,0.000017609673,0.000009901186,0.000025196174,0.000026300117,0.00000899117],"category_scores_gemma":[0.00027473757,0.00005836467,0.000018042323,0.00014304326,0.000009660262,0.000109340486,0.0000126092,0.000037260743,2.5359049e-7],"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":[0.0000028298446,0.000038277605,0.0010624661,0.01983438,0.00024864846,7.167037e-7,0.0019870384,0.29522082,0.047299493,0.0019834433,0.00018710463,0.6321348],"study_design_scores_gemma":[0.000093601484,0.0000030916626,0.00009982275,0.0005364062,0.00037712598,0.0000023376426,0.000064282576,0.9937991,0.0037980473,0.0011502722,0.000011965207,0.00006395524],"about_ca_topic_score_codex":0.0000022608258,"about_ca_topic_score_gemma":0.000001770909,"teacher_disagreement_score":0.69857824,"about_ca_system_score_codex":0.0000115051325,"about_ca_system_score_gemma":0.000024191546,"threshold_uncertainty_score":0.23800421},"labels":[],"label_agreement":null},{"id":"W3196439122","doi":"10.1016/j.procir.2020.11.008","title":"High performance grinding of titanium alloys with electroplated diamond wheels","year":2021,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","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":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Electroplating; Materials science; Metallurgy; Grinding; Surface roughness; Diamond; Titanium; Surface finish; Titanium alloy; Diamond grinding; Grinding wheel; Composite material; Alloy; Layer (electronics)","score_opus":0.003579963357170561,"score_gpt":0.1748881087462988,"score_spread":0.17130814538912822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196439122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9325132,0.0007883438,0.06263505,0.000037472742,0.00019316899,0.000123381,0.00001062077,0.0003344707,0.0033642976],"genre_scores_gemma":[0.9819951,0.0004777002,0.01726298,0.000013904086,0.00005146104,0.0000131207,0.00003108853,0.000037748745,0.00011688228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994002,0.0000032839419,0.00014293761,0.00014009257,0.000117243864,0.00019625651],"domain_scores_gemma":[0.99967843,0.000019205982,0.0000420095,0.00010531857,0.00011644437,0.000038573602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000033834953,0.00011517842,0.00014724892,0.000042381573,0.0000405283,0.000012581272,0.00006744631,0.000049067887,0.000032716325],"category_scores_gemma":[0.000023708806,0.0001081083,0.000014559327,0.00031025638,0.00001467419,0.0002261279,0.000014406341,0.00012880388,0.000005316663],"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":[0.000048219437,0.000041356627,0.008884082,0.001161335,0.000096726326,0.000019961102,0.00042619876,0.9396642,0.042490914,0.0017546671,0.0001430158,0.0052693584],"study_design_scores_gemma":[0.000973233,0.00020304488,0.009085257,0.0002692867,0.00006948327,0.00007799634,0.00009682145,0.115805775,0.8716363,0.0004235107,0.00081246067,0.0005468597],"about_ca_topic_score_codex":0.0000012664835,"about_ca_topic_score_gemma":0.0000074713093,"teacher_disagreement_score":0.8291454,"about_ca_system_score_codex":0.0000272785,"about_ca_system_score_gemma":0.000042224918,"threshold_uncertainty_score":0.44085285},"labels":[],"label_agreement":null},{"id":"W3196871938","doi":"10.1016/j.procir.2021.03.130","title":"Pneumatic Non-Contact Measuring System for In-Process Dimensions Measurements","year":2021,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced Sensor Technologies Research","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":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"System of measurement; Process (computing); Sensitivity (control systems); Range (aeronautics); Measuring instrument; Mechanical engineering; Engineering; Control theory (sociology); Computer science; Electronic engineering; Physics; Artificial intelligence; Aerospace engineering","score_opus":0.05514944126515912,"score_gpt":0.2898165719270788,"score_spread":0.23466713066191972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196871938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757719,0.0014466206,0.014750924,0.00008860197,0.0005603348,0.0012181934,0.00001584221,0.0014541914,0.004693402],"genre_scores_gemma":[0.9966985,0.000040063544,0.002663193,0.000009818292,0.00003439039,0.0004529336,0.0000063012744,0.00006430765,0.000030518084],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985011,0.0000111956215,0.00030356008,0.00029841196,0.00035730714,0.00052842015],"domain_scores_gemma":[0.99920803,0.000100425284,0.000032119664,0.00033065988,0.00025003857,0.000078722616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001782592,0.00018287843,0.00029144992,0.00017694173,0.00007906936,0.000034749453,0.0002511833,0.000113002665,0.000005013981],"category_scores_gemma":[0.00072734914,0.00019544842,0.00005597218,0.00047092902,0.000014020551,0.00017300995,0.00005172961,0.00026166177,0.000030893247],"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":[0.000039752023,0.00011999338,0.013035464,0.011677132,0.0001799326,0.00012912482,0.0009067065,0.048333574,0.9146246,0.0003019187,0.00029690049,0.010354917],"study_design_scores_gemma":[0.0013369339,0.00004179439,0.0017207959,0.00096992124,0.0000239049,0.000031761978,0.0022893571,0.060044076,0.9321733,0.0007057346,0.0001698294,0.00049259356],"about_ca_topic_score_codex":0.0000020611717,"about_ca_topic_score_gemma":0.00004053823,"teacher_disagreement_score":0.020926584,"about_ca_system_score_codex":0.00037782674,"about_ca_system_score_gemma":0.00006674871,"threshold_uncertainty_score":0.79701555},"labels":[],"label_agreement":null},{"id":"W3197364050","doi":"10.1016/j.procir.2021.02.036","title":"Sustainable machining of Ti-6Al-4V using cryogenic cooling: an optimized approach","year":2021,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","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":"National Research Council Canada; McGill University","funders":"","keywords":"Machining; Mechanical engineering; Grey relational analysis; Materials science; Surface roughness; Sorting; Taguchi methods; Cryogenic treatment; Genetic algorithm; Surface finish; Metallurgy; Process engineering; Computer science; Engineering; Composite material; Microstructure; Mathematics","score_opus":0.01606122135367655,"score_gpt":0.24960440141631454,"score_spread":0.233543180062638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197364050","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.101622686,0.0034675705,0.88720995,0.00000871861,0.00019140677,0.00023859415,0.000007828943,0.0004495717,0.0068036783],"genre_scores_gemma":[0.75307924,0.00014755291,0.24618825,0.00002353762,0.0001049811,0.000020441566,0.000077522534,0.00007963756,0.00027881892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987682,0.00002078511,0.00032815,0.00029956427,0.00017861552,0.0004046837],"domain_scores_gemma":[0.999225,0.000036248155,0.000092900176,0.00024846266,0.00028854143,0.00010883562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017095428,0.00020432165,0.0003109816,0.00010516442,0.00012293475,0.000059112524,0.00016238917,0.00011102933,0.000038781112],"category_scores_gemma":[0.00017977071,0.00022980661,0.00006280369,0.00047172516,0.000030763676,0.00046160322,0.00006470471,0.00021053271,0.0000014984219],"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":[0.000023655391,0.000052367093,0.00021296937,0.0007380379,0.00003480032,0.0000105043755,0.000921002,0.99339306,0.0028643499,0.0010011229,0.000015217483,0.0007329296],"study_design_scores_gemma":[0.00069487904,0.000025864067,0.000049797676,0.00004209832,0.0000608967,0.00004431524,0.0013917155,0.98618084,0.010520486,0.00043763663,0.00025317702,0.00029831714],"about_ca_topic_score_codex":0.0000116202955,"about_ca_topic_score_gemma":0.0000012020643,"teacher_disagreement_score":0.6514566,"about_ca_system_score_codex":0.00006765091,"about_ca_system_score_gemma":0.00014965252,"threshold_uncertainty_score":0.93712413},"labels":[],"label_agreement":null},{"id":"W406925390","doi":"10.1016/j.procir.2015.02.039","title":"Opportunities to Improve Recycling of Automotive Lithium Ion Batteries","year":2015,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":229,"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":"Automotive industry; Lithium (medication); Automotive engineering; Ion; Materials science; Manufacturing engineering; Engineering; Aerospace engineering; Chemistry; Psychology","score_opus":0.06011186419492921,"score_gpt":0.27567043405577973,"score_spread":0.21555856986085054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W406925390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6595451,0.0011167557,0.024822442,0.0028712992,0.004868493,0.0007533689,0.00007248125,0.0017886271,0.3041614],"genre_scores_gemma":[0.9949043,0.00006120819,0.0010743182,0.0002451973,0.0001789726,0.000045606186,0.000010175805,0.000023140181,0.0034571264],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99938786,0.000007878873,0.00021850815,0.00010933095,0.00014563413,0.00013076425],"domain_scores_gemma":[0.9993994,0.000033248714,0.000042764226,0.00009550523,0.0002961933,0.00013286558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013723008,0.00009984462,0.00013462317,0.000098908895,0.000024463821,0.000029990564,0.00007736241,0.00005511222,0.000040691426],"category_scores_gemma":[0.00024684012,0.00010176824,0.000022258684,0.000096472395,0.000023017401,0.00029694237,0.000016141794,0.00008390899,0.000050415765],"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":[0.0003845801,0.00036743077,0.0046310294,0.0042998088,0.00034880458,0.00003570824,0.12771699,0.040395517,0.3829787,0.007276019,0.34546408,0.08610132],"study_design_scores_gemma":[0.00049392955,0.0002470514,0.00077704364,0.00011632093,0.000028140315,0.00001536359,0.008786563,0.0048403223,0.7419692,0.001668262,0.24057084,0.00048695088],"about_ca_topic_score_codex":0.0000057777274,"about_ca_topic_score_gemma":0.0000088716715,"teacher_disagreement_score":0.3589905,"about_ca_system_score_codex":0.000035320358,"about_ca_system_score_gemma":0.00008127545,"threshold_uncertainty_score":0.41499883},"labels":[],"label_agreement":null},{"id":"W421634287","doi":"10.1016/j.procir.2015.01.071","title":"Energy Use in Premanufacture (Mining)","year":2015,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Chemical and Environmental Engineering Research","field":"Computer Science","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":"Queen's University","funders":"","keywords":"HVAC; Energy consumption; Waste management; Product (mathematics); Life-cycle assessment; Engineering; Energy (signal processing); Process engineering; Production (economics); Supply chain; Environmental science; Manufacturing engineering; Mechanical engineering; Business; Air conditioning","score_opus":0.028526191955843428,"score_gpt":0.21641456128822725,"score_spread":0.18788836933238381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W421634287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9379642,0.00035621156,0.05586715,0.00083234033,0.00028338376,0.000109601504,0.0000018399305,0.00024673616,0.004338522],"genre_scores_gemma":[0.9943216,0.000010576264,0.004917159,0.00010835211,0.000040949148,0.000015341513,0.0000018924175,0.0000056714443,0.0005784639],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993187,0.000005302559,0.00007539569,0.00019190008,0.00020831423,0.00020038032],"domain_scores_gemma":[0.9996299,0.00003332201,0.000010250156,0.00017673013,0.0000082965935,0.00014151522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007046803,0.00006729756,0.000067586465,0.000044025506,0.000009162188,0.000052162104,0.00033014524,0.00004261971,0.0000056039225],"category_scores_gemma":[0.000066503264,0.000058868318,0.000014662315,0.00014216329,0.000016459866,0.0002867851,0.00020714483,0.0000832517,0.000025643865],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016189889,0.0018023602,0.22545685,0.00047392995,0.000088454115,0.0008005246,0.017929023,0.025788944,0.05815252,0.033303507,0.100235574,0.5358064],"study_design_scores_gemma":[0.0034766246,0.00037296079,0.07137384,0.0001737987,0.0000065858944,0.00014371773,0.00013096114,0.447489,0.25819814,0.02050118,0.19652277,0.0016104119],"about_ca_topic_score_codex":0.000047335914,"about_ca_topic_score_gemma":0.000012040273,"teacher_disagreement_score":0.534196,"about_ca_system_score_codex":0.000059014812,"about_ca_system_score_gemma":0.000023830751,"threshold_uncertainty_score":0.24005802},"labels":[],"label_agreement":null},{"id":"W4225515015","doi":"10.1016/j.procir.2022.02.005","title":"The Impacts on Greenhouse Gases Emission during the COVID-19 lockdown in the US: An Economic Input-Output Life Cycle Assessment","year":2022,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"COVID-19 impact on air quality","field":"Environmental Science","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":"Greenhouse gas; Life-cycle assessment; Coronavirus disease 2019 (COVID-19); Environmental science; Economic impact analysis; Quarter (Canadian coin); Production (economics); Natural resource economics; Shutdown; Upstream (networking); Environmental economics; Business; Economics; Engineering; Geography","score_opus":0.03032048981219357,"score_gpt":0.3263310942915578,"score_spread":0.2960106044793642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225515015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9753494,0.000051899166,0.000021253016,0.02250736,0.00015727608,0.0008502979,0.000046837533,0.000093184186,0.0009224898],"genre_scores_gemma":[0.98000425,0.000050488896,0.000014585444,0.019377332,0.00011636575,0.00026825618,0.00000807185,0.000030039051,0.0001306309],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968893,0.0007967696,0.00041308493,0.00052807544,0.00076987717,0.0006029203],"domain_scores_gemma":[0.99727213,0.0010946979,0.00024970956,0.000979476,0.0000043530695,0.00039961768],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031565675,0.00025591196,0.00018121909,0.000053041153,0.0018010857,0.00021810562,0.0014088416,0.000048666978,0.0010088504],"category_scores_gemma":[0.0010506747,0.00014353775,0.000107830216,0.0003120184,0.00023623623,0.00030920288,0.00070294284,0.0006059272,0.00011549333],"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":[0.0004579257,0.0007948239,0.75178266,0.00009142743,0.000036075267,0.00004681496,0.016148284,0.20369808,0.0012576692,0.00024346211,0.020649713,0.004793079],"study_design_scores_gemma":[0.0010431794,0.0003487505,0.91940224,0.000009058722,0.000019257086,0.000042741587,0.0029477228,0.009516927,0.00018458335,0.0010699874,0.06503244,0.0003830943],"about_ca_topic_score_codex":0.0033262968,"about_ca_topic_score_gemma":0.002326057,"teacher_disagreement_score":0.19418116,"about_ca_system_score_codex":0.002650761,"about_ca_system_score_gemma":0.00049040694,"threshold_uncertainty_score":0.99990433},"labels":[],"label_agreement":null},{"id":"W4285161620","doi":"10.1016/j.procir.2022.03.066","title":"Effect of Chip Segmentation on Machining-Induced Residual Stresses during Turning of Ti6Al4V","year":2022,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","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":"McGill University; ArcelorMittal (Canada); National Research Council Canada; Polytechnique Montréal","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Residual stress; Chip formation; Segmentation; Chip; Surface integrity; Materials science; Finite element method; Residual; Structural engineering; Titanium alloy; Vibration; Mechanical engineering; Tool wear; Engineering; Composite material; Metallurgy; Computer science; Artificial intelligence; Acoustics; Alloy; Physics; Algorithm","score_opus":0.005015013329562401,"score_gpt":0.23550658164220312,"score_spread":0.23049156831264073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285161620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974713,0.00022187798,0.0007531944,0.00000774229,0.0001929577,0.00019986475,0.000019574303,0.00014857807,0.0009849494],"genre_scores_gemma":[0.9990371,0.000029500343,0.0007034299,0.000005184594,0.000053597283,0.00006811385,0.00004394209,0.00004112177,0.000017995653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991408,0.00003866117,0.00024837718,0.00015855535,0.0002556531,0.00015792534],"domain_scores_gemma":[0.99954665,0.0001432044,0.00013732117,0.00011364226,0.000028852406,0.000030341522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017060224,0.00013951524,0.00019963406,0.00013902014,0.000111282134,0.000008172774,0.00012054043,0.000030863528,0.000044334047],"category_scores_gemma":[0.00012996672,0.00014443455,0.000034947854,0.00023257041,0.000011310752,0.00011326683,0.000047869114,0.00021595533,0.00000103201],"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":[0.00016209237,0.000024373827,0.0029104422,0.00120814,0.00003021527,0.0000020128332,0.0012331589,0.88355035,0.10258898,0.000050873878,0.000013600823,0.008225762],"study_design_scores_gemma":[0.0010173719,0.0007856237,0.002013796,0.0001123846,0.00003988618,0.000006402644,0.00021879152,0.024287825,0.9712518,0.000050677496,0.00001666431,0.00019881356],"about_ca_topic_score_codex":0.000004623575,"about_ca_topic_score_gemma":0.000001227617,"teacher_disagreement_score":0.8686628,"about_ca_system_score_codex":0.00004908913,"about_ca_system_score_gemma":0.000017288718,"threshold_uncertainty_score":0.58898705},"labels":[],"label_agreement":null},{"id":"W4285305606","doi":"10.1016/j.procir.2022.04.080","title":"Electropolishing of 316L stainless steel parts elaborated by selective laser melting: from laboratory to pilot scale","year":2022,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Additive Manufacturing Materials and Processes","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":"Safran Electronics (Canada)","funders":"","keywords":"Electropolishing; Materials science; Dissolution; Selective laser melting; Surface roughness; Surface finish; Metallurgy; Surface finishing; Electrolyte; Composite material; Electrode; Microstructure; Chemical engineering","score_opus":0.005600552292168969,"score_gpt":0.1934891927995108,"score_spread":0.18788864050734183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285305606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947954,0.00067736435,0.00051729043,0.000060944447,0.00031214723,0.0003050171,0.0023071296,0.0003447015,0.000680051],"genre_scores_gemma":[0.9988338,0.000033966502,0.00024863254,0.00015133987,0.000168314,0.00022942826,0.00020279322,0.00007793304,0.000053843396],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99863774,0.0000663912,0.00028656982,0.00031436296,0.00029172166,0.00040320345],"domain_scores_gemma":[0.9993021,0.00010326174,0.00009454055,0.00016165913,0.00021646552,0.00012197916],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018891763,0.0002308629,0.00031104693,0.000092161215,0.0001776608,0.000068192894,0.00026120633,0.00004554612,0.00036804785],"category_scores_gemma":[0.00010180143,0.00025525154,0.000023120669,0.0005356404,0.000028243121,0.00020266962,0.00010630983,0.00026377043,0.00001362732],"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":[0.00030153609,0.0002321424,0.0018806921,0.00043723235,0.00021756679,0.000012390387,0.00465807,0.012448815,0.8859217,0.00007719602,0.09297294,0.0008396748],"study_design_scores_gemma":[0.00034355657,0.00023826312,0.0010230292,0.000023792796,0.000026922924,0.0000010340086,0.0006405045,0.0002943114,0.97614145,0.0003473448,0.020563917,0.00035586726],"about_ca_topic_score_codex":0.000121821235,"about_ca_topic_score_gemma":0.000044213673,"teacher_disagreement_score":0.090219714,"about_ca_system_score_codex":0.0001627101,"about_ca_system_score_gemma":0.000115757706,"threshold_uncertainty_score":0.99999},"labels":[],"label_agreement":null},{"id":"W4295034807","doi":"10.1016/j.procir.2022.08.006","title":"Modelling and statistical analysis of the intermediate laser remelting regime by moving average filtering","year":2022,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Additive Manufacturing Materials and Processes","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":"Western University; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Council Canada; Western University","keywords":"Polishing; Surface (topology); Filter (signal processing); Process (computing); Controllability; Trajectory; Power (physics); Computer science; Mechanical engineering; Control theory (sociology); Materials science; Engineering; Mathematics; Geometry; Artificial intelligence; Control (management); Physics; Computer vision","score_opus":0.008744366013323637,"score_gpt":0.19496975791138088,"score_spread":0.18622539189805726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295034807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9558434,0.0002038012,0.0429312,0.000016975397,0.00016607631,0.000081124475,0.00034560257,0.00007633011,0.00033551964],"genre_scores_gemma":[0.99928933,0.00004569103,0.0004639562,0.000024999666,0.000036170142,0.000030055244,0.000037337635,0.00002329164,0.000049178016],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992656,0.000025636793,0.00020890529,0.00016379496,0.00016019476,0.00017586985],"domain_scores_gemma":[0.99964577,0.000117569085,0.00006520063,0.000116523166,0.000018611392,0.000036330748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016099315,0.00011342607,0.00020471353,0.00007789076,0.00014193423,0.000034661225,0.0001437353,0.00002125045,0.00025650155],"category_scores_gemma":[0.00004330006,0.00009840907,0.000037780224,0.00017632915,0.00003424912,0.00007050076,0.0001775362,0.00014885674,7.8932516e-7],"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":[0.000014175529,0.000010663238,0.0011129695,0.00035701419,0.00022956873,0.0000034560137,0.0013737133,0.98949176,0.005619677,0.00006218027,0.0004657142,0.001259082],"study_design_scores_gemma":[0.0001911326,0.000025236128,0.0020517549,0.00003905768,0.00026999912,0.0000046684627,0.0002379637,0.9365967,0.05783943,0.0005559022,0.0019002339,0.00028794748],"about_ca_topic_score_codex":0.00002141872,"about_ca_topic_score_gemma":0.0000027270698,"teacher_disagreement_score":0.052895114,"about_ca_system_score_codex":0.000029233755,"about_ca_system_score_gemma":0.000009206618,"threshold_uncertainty_score":0.40130055},"labels":[],"label_agreement":null},{"id":"W4296626317","doi":"10.1016/j.procir.2022.09.045","title":"Prompt uncertainty estimation with GUM framework for on-machine tool coordinate metrology","year":2022,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced Measurement and Metrology Techniques","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":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monte Carlo method; Metrology; Coordinate-measuring machine; Covariance matrix; Measurement uncertainty; Gauge (firearms); Machine tool; Point (geometry); Matrix (chemical analysis); Computer science; Algorithm; Uncertainty analysis; Covariance; Mathematics; Engineering; Statistics; Simulation; Mechanical engineering; Geometry; Materials science","score_opus":0.011488803679081349,"score_gpt":0.24394119364818936,"score_spread":0.23245238996910803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296626317","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03887568,0.0002936719,0.95691705,0.0004779544,0.00032356326,0.0010979492,0.000042578067,0.0010346923,0.0009368476],"genre_scores_gemma":[0.8964379,0.000008391073,0.1009498,0.00025640574,0.00006211862,0.0021265128,0.000057008943,0.000043832857,0.00005802905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999146,0.00001763046,0.00015625435,0.0002210303,0.00016496245,0.00029413603],"domain_scores_gemma":[0.99954927,0.00013285635,0.000054061766,0.0001731605,0.0000532778,0.000037396192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002700344,0.00016483827,0.00020546619,0.00013393663,0.00016147997,0.000008763099,0.00015084168,0.00006837569,0.00005400932],"category_scores_gemma":[0.0002041594,0.00014978499,0.000038778955,0.00020248935,0.000029872861,0.000074034055,0.000025899224,0.0003404922,0.0000034184488],"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":[0.0017307557,0.00033019215,0.005618713,0.0005919912,0.00039591425,0.000017166021,0.00075919554,0.79444087,0.006761862,0.07567151,0.00657206,0.10710975],"study_design_scores_gemma":[0.0038446835,0.0061441152,0.0014681288,0.0000964612,0.00027881996,0.00005844768,0.00015404625,0.61400557,0.032768935,0.25834075,0.08135843,0.0014816407],"about_ca_topic_score_codex":0.0000015323797,"about_ca_topic_score_gemma":0.000003053096,"teacher_disagreement_score":0.85756224,"about_ca_system_score_codex":0.00014057873,"about_ca_system_score_gemma":0.000025957077,"threshold_uncertainty_score":0.61080545},"labels":[],"label_agreement":null},{"id":"W4382583806","doi":"10.1016/j.procir.2023.02.091","title":"Identifying efficient solutions for additive manufacturing of short carbon-fiber reinforced polyamide 6 from energy and mechanical perspectives","year":2023,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Additive Manufacturing and 3D Printing Technologies","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; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Région Bretagne; Conseil Régional de Bretagne","keywords":"Fused filament fabrication; Materials science; Nozzle; Ultimate tensile strength; Deposition (geology); Composite number; Mechanical engineering; Process engineering; 3D printing; Composite material; Polyamide; Fabrication; Computer science; Engineering","score_opus":0.020989404593840955,"score_gpt":0.2323825785360394,"score_spread":0.21139317394219845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382583806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97653085,0.00036079914,0.0194996,0.00005820539,0.00021798266,0.00024219876,0.00019775126,0.0017558167,0.0011367773],"genre_scores_gemma":[0.99815446,0.00015125082,0.0012590868,0.0000034429347,0.00010224035,0.00014149537,0.000045930054,0.000042052165,0.00010003658],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989025,0.000008525515,0.00022838151,0.00030505657,0.00014602514,0.00040952186],"domain_scores_gemma":[0.9993607,0.0003044625,0.000041819945,0.00019086609,0.000048784546,0.000053401942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012703604,0.00018684752,0.00024223891,0.0002203217,0.00012637964,0.00002719841,0.00015904338,0.0001284446,0.000015595273],"category_scores_gemma":[0.00020718836,0.0001970736,0.000080351005,0.00012726049,0.000094267125,0.000052460495,0.00020486068,0.00013837981,0.0000036033637],"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":[0.00035136286,0.00018676512,0.00021402049,0.0022900365,0.0033966715,0.00008297095,0.025973706,0.11332645,0.2797472,0.16724303,0.0070057735,0.400182],"study_design_scores_gemma":[0.00026139413,0.00003438031,0.0020064323,0.00012196491,0.000056422996,0.0000032654218,0.0029636982,0.06975406,0.91898733,0.004911738,0.00057159236,0.00032769542],"about_ca_topic_score_codex":0.000072199684,"about_ca_topic_score_gemma":0.00001244032,"teacher_disagreement_score":0.63924015,"about_ca_system_score_codex":0.00007910256,"about_ca_system_score_gemma":0.000014481529,"threshold_uncertainty_score":0.8036428},"labels":[],"label_agreement":null},{"id":"W4383648186","doi":"10.1016/j.procir.2023.02.146","title":"Multi-level design optimization considering uncertainties in configurations and parameters","year":2023,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Product Development and Customization","field":"Business, Management and Accounting","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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Configuration design; Tree (set theory); Mathematical optimization; Node (physics); Function (biology); Optimization problem; Multi-objective optimization; Computer science; Engineering; Mathematics","score_opus":0.09388749274125932,"score_gpt":0.24475992652938888,"score_spread":0.15087243378812956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383648186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5461663,0.000372862,0.4328928,0.008577942,0.0020772626,0.0033572854,0.000007775753,0.0020211006,0.0045266813],"genre_scores_gemma":[0.9706064,0.00007227736,0.028203528,0.00047010748,0.00012826384,0.000119243494,0.00009421013,0.000024688763,0.00028130037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993085,0.00000681385,0.00018388113,0.0002155741,0.00010138851,0.00018380726],"domain_scores_gemma":[0.9997067,0.000046150464,0.00008001532,0.00006789312,0.0000912972,0.0000079577385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028277168,0.000105704006,0.00010682497,0.00034385268,0.00012622974,0.00019628133,0.00006314331,0.000043423053,0.000025161018],"category_scores_gemma":[0.00049784133,0.00010951386,0.000011306871,0.0006722132,0.000036511155,0.0007946125,0.00004649813,0.00005618402,0.00006487993],"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":[0.000102283215,0.00011308431,0.09667543,0.00070661266,0.000064273,0.000027029357,0.0029887254,0.8591439,0.0033028547,0.006333325,0.0105092535,0.020033238],"study_design_scores_gemma":[0.0011284311,0.000004521582,0.041274436,0.00008159486,0.000025041774,0.000001545452,0.0010758508,0.9521139,0.00054231996,0.0020782587,0.0012841818,0.00038990425],"about_ca_topic_score_codex":0.000035880734,"about_ca_topic_score_gemma":0.000034367564,"teacher_disagreement_score":0.4244401,"about_ca_system_score_codex":0.00001846885,"about_ca_system_score_gemma":0.00003634024,"threshold_uncertainty_score":0.44658455},"labels":[],"label_agreement":null},{"id":"W4399701487","doi":"10.1016/j.procir.2024.05.011","title":"Machining Effect On The Surface Integrity And SE Of Additively Manufactured And Heat-Treated Nitinol","year":2024,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Shape Memory Alloy Transformations","field":"Materials Science","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":"Ministero dell’Istruzione, dell’Università e della Ricerca; European Commission; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Surface integrity; Machining; Materials science; Structural integrity; Mechanical engineering; Metallurgy; Surface (topology); Engineering; Structural engineering; Geometry","score_opus":0.02100314166518331,"score_gpt":0.2668733675709531,"score_spread":0.2458702259057698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399701487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968183,0.00027584832,0.000050238075,0.0005145555,0.00011123974,0.0003485855,0.00017768354,0.00011854618,0.0015850214],"genre_scores_gemma":[0.9996709,0.00002042699,0.00010794629,0.000081246224,0.00002741146,0.000026272852,0.000010775742,0.000012681448,0.000042290798],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992375,0.00010055331,0.00014928415,0.00021249872,0.00014813621,0.00015203888],"domain_scores_gemma":[0.9989725,0.0008247512,0.000023825505,0.00010113668,0.000030200566,0.000047631784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047840952,0.00013270242,0.00015046721,0.000043528096,0.000114963535,0.00010316826,0.00009418489,0.000054869506,0.00021900413],"category_scores_gemma":[0.00017423168,0.00008187865,0.000024503925,0.000099240206,0.00013089743,0.00017660942,0.000028715556,0.00023831036,0.000042811986],"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":[0.00020582344,0.000056864348,0.004194324,0.0010495811,0.00006639186,0.000024718785,0.011214845,0.000047874342,0.9723618,0.0027104132,0.00094390736,0.0071234675],"study_design_scores_gemma":[0.0002489566,0.00021968326,0.012105307,0.00028891413,0.000051208823,0.000040565923,0.0002021155,0.0017885573,0.984116,0.0004946562,0.00030629235,0.00013774852],"about_ca_topic_score_codex":0.000054803826,"about_ca_topic_score_gemma":0.000016685992,"teacher_disagreement_score":0.011754205,"about_ca_system_score_codex":0.000015620939,"about_ca_system_score_gemma":0.000032169675,"threshold_uncertainty_score":0.33389145},"labels":[],"label_agreement":null},{"id":"W4402441747","doi":"10.1016/j.procir.2024.08.158","title":"Laser Glass deposition of single-mode glass fibers for the fabrication of chip-scale photonic circuits","year":2024,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Semiconductor Lasers and Optical Devices","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":"Innovation Cluster (Canada)","funders":"Deutsche Forschungsgemeinschaft","keywords":"Fabrication; Materials science; Chip; Photonics; Laser; Photonic integrated circuit; Optoelectronics; Electronic circuit; Deposition (geology); Optics; Electrical engineering; Engineering; Physics","score_opus":0.013887873025029746,"score_gpt":0.2345452589321345,"score_spread":0.22065738590710474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402441747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822073,0.00284813,0.011604884,0.00010342634,0.0007378384,0.0004697989,0.00007668552,0.00017481466,0.0017771526],"genre_scores_gemma":[0.99912524,0.000087732114,0.0004787158,0.0000229767,0.00011738974,0.00008043958,0.000023279064,0.00002870268,0.000035542093],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99935263,0.0000056855793,0.00021588782,0.000145219,0.00012762863,0.00015295246],"domain_scores_gemma":[0.99948275,0.00022781579,0.00003484331,0.00014133997,0.000077342476,0.000035878085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008476897,0.00010302774,0.00013861006,0.000052135812,0.00002691122,0.000027360686,0.00012554179,0.000070428614,0.000014362517],"category_scores_gemma":[0.00003817095,0.00008035547,0.00008560689,0.00020081832,0.000041087595,0.00013073716,0.000010791808,0.00007748725,0.000006280197],"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":[0.0000118357,0.000059666592,0.0003477924,0.00216684,0.00015045055,6.9136206e-7,0.0011415672,0.0031132146,0.9668621,0.0006934851,0.0010742644,0.024378119],"study_design_scores_gemma":[0.00016013879,0.00005116414,0.0005247811,0.00015093724,0.00010254636,0.0000028713666,0.00011347114,0.3021067,0.6952214,0.00039417815,0.0010552153,0.00011654603],"about_ca_topic_score_codex":0.000015308573,"about_ca_topic_score_gemma":0.000026155889,"teacher_disagreement_score":0.2989935,"about_ca_system_score_codex":0.000044694305,"about_ca_system_score_gemma":0.000023429728,"threshold_uncertainty_score":0.3276801},"labels":[],"label_agreement":null},{"id":"W4402441911","doi":"10.1016/j.procir.2024.08.064","title":"Long-term benchmarking of laser technologies and process improvement for Cu hairpin welding in electric drive manufacturing","year":2024,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Welding Techniques and Residual Stresses","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":"Ministero dello Sviluppo Economico; Ministero dell’Istruzione, dell’Università e della Ricerca; Mount Royal University","keywords":"Benchmarking; Term (time); Welding; Laser; Process (computing); Manufacturing engineering; Materials science; Engineering; Mechanical engineering; Automotive engineering; Metallurgy; Business; Computer science; Optics; Physics","score_opus":0.006955196371328447,"score_gpt":0.2414847977806063,"score_spread":0.23452960140927787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402441911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918278,0.0037122106,0.0027838424,0.00006490713,0.00011752406,0.000492465,0.0000059814383,0.0008416153,0.00015365634],"genre_scores_gemma":[0.9975509,0.0010818959,0.001020993,0.0000031545337,0.000056927638,0.00024063759,0.000004054879,0.00003142265,0.000010013289],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991909,0.0000019760748,0.00021322731,0.00022828553,0.00009347606,0.0002720823],"domain_scores_gemma":[0.9997776,0.00006593189,0.00002797722,0.00008884183,0.000018899938,0.000020747562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000097243916,0.00015338395,0.0001751322,0.00028746933,0.000034030363,0.000054691307,0.00013233388,0.00011542417,0.000003108279],"category_scores_gemma":[0.000031822543,0.00013650453,0.000033143646,0.00019304309,0.000023132681,0.00013008717,0.000049407405,0.0001754792,3.1271807e-7],"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":[0.000055661814,0.000103712926,0.0457206,0.037403382,0.00024592067,0.00007884403,0.0017642507,0.008912886,0.07037757,0.0003964224,0.00093505264,0.8340057],"study_design_scores_gemma":[0.00013225341,0.000097799486,0.0033503014,0.00078821264,0.000017959592,0.0000057298535,0.000089706555,0.0046599596,0.9885551,0.0020311808,0.000081159225,0.0001906462],"about_ca_topic_score_codex":0.000008112667,"about_ca_topic_score_gemma":0.000025596995,"teacher_disagreement_score":0.91817755,"about_ca_system_score_codex":0.00005424882,"about_ca_system_score_gemma":0.000017063574,"threshold_uncertainty_score":0.5566493},"labels":[],"label_agreement":null},{"id":"W4402457062","doi":"10.1016/j.procir.2024.08.099","title":"A first approach of Laser Mesh Cladding","year":2024,"lang":"es","type":"article","venue":"Procedia CIRP","topic":"Additive Manufacturing Materials and Processes","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":"Cladding (metalworking); Laser; Materials science; Computer science; Mechanical engineering; Engineering; Optics; Composite material; Physics","score_opus":0.011342543672067777,"score_gpt":0.21842427844544593,"score_spread":0.20708173477337816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402457062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7278673,0.03478053,0.022319507,0.0007044351,0.006811321,0.001602225,0.0019415742,0.0028857593,0.20108736],"genre_scores_gemma":[0.9961737,0.0009798766,0.0013249,0.000016218693,0.00092791475,0.00007223871,0.000039021827,0.00010451308,0.00036165144],"study_design_codex":"systematic_review","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986411,0.000013750811,0.00036563262,0.00038700536,0.00022100251,0.00037152754],"domain_scores_gemma":[0.99945015,0.00015287417,0.000056853092,0.00019053706,0.000059681985,0.00008990976],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017776387,0.0003216215,0.0003835896,0.0001671497,0.00007179214,0.00026826884,0.0002232933,0.00017830005,0.00060007203],"category_scores_gemma":[0.00010220624,0.00030017554,0.000113816786,0.00026542487,0.00007069997,0.00023556972,0.00008932147,0.00023279608,0.00017596029],"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":[0.00036891561,0.00076157035,0.0038088495,0.61088127,0.0042550354,0.0003678512,0.02950381,0.057273306,0.022614593,0.112972036,0.1061097,0.051083036],"study_design_scores_gemma":[0.0005962219,0.00019729114,0.0036971234,0.005572826,0.0005104273,0.000076655495,0.00038425747,0.038642082,0.54601526,0.0034908068,0.39918858,0.001628487],"about_ca_topic_score_codex":0.000012746193,"about_ca_topic_score_gemma":9.384074e-7,"teacher_disagreement_score":0.6053085,"about_ca_system_score_codex":0.000047798883,"about_ca_system_score_gemma":0.000067852416,"threshold_uncertainty_score":0.99994504},"labels":[],"label_agreement":null},{"id":"W4403249565","doi":"10.1016/j.procir.2024.08.372","title":"Structured-light 3D Scanning Performance in Offline and In-process Measurement of 3D Printed Parts","year":2024,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Industrial Vision Systems and Defect Detection","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":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"3d printed; 3d scanning; Structured light; Process (computing); 3D printing; Engineering drawing; Materials science; Computer science; Engineering; Manufacturing engineering; Mechanical engineering; Artificial intelligence","score_opus":0.018850634467483758,"score_gpt":0.23720026490591084,"score_spread":0.2183496304384271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403249565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959789,0.0016208544,0.00021926033,0.000012540573,0.0005819766,0.00023840152,0.0000018781082,0.00010258887,0.0012436215],"genre_scores_gemma":[0.9997204,0.000038553306,0.000053667416,0.000002702678,0.00012108012,0.000032830594,9.735121e-7,0.000018879995,0.0000109280145],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991189,0.000009973115,0.00031623786,0.00016600873,0.00022540257,0.00016345007],"domain_scores_gemma":[0.9997911,0.0000117836125,0.000026528644,0.00007673314,0.000060303486,0.000033560078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036753487,0.00011451696,0.0001836977,0.00023863591,0.000016319607,0.000026795187,0.000045750825,0.00009413138,0.000010120129],"category_scores_gemma":[0.00005497253,0.00010271706,0.000015158803,0.00039438833,0.000009594996,0.00013967343,0.000012890643,0.00021210869,0.0000031421205],"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":[0.00041641935,0.000105467756,0.17612094,0.022174703,0.00021301469,0.00008474939,0.016929273,0.17377467,0.15544415,0.00014842473,0.000519642,0.45406854],"study_design_scores_gemma":[0.0023541541,0.0002469664,0.10270416,0.0067913104,0.000045652596,0.0000837217,0.0005323152,0.5441665,0.33134723,0.00015117187,0.010687989,0.0008888334],"about_ca_topic_score_codex":0.000011590139,"about_ca_topic_score_gemma":0.00005078245,"teacher_disagreement_score":0.45317972,"about_ca_system_score_codex":0.00008297763,"about_ca_system_score_gemma":0.000040179733,"threshold_uncertainty_score":0.418868},"labels":[],"label_agreement":null},{"id":"W4403249742","doi":"10.1016/j.procir.2024.08.264","title":"Advanced procedures and scheduling for aircraft assembly processes: A systematic review approach","year":2024,"lang":"en","type":"review","venue":"Procedia CIRP","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":7,"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 Nacional de Educación a Distancia","keywords":"Scheduling (production processes); Computer science; Engineering; Systems engineering; Aeronautics; Operations management","score_opus":0.022049564208920906,"score_gpt":0.28544357295064865,"score_spread":0.26339400874172775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403249742","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[1.516143e-7,0.9755838,0.015082978,0.0000116752635,0.00020689516,0.007791596,0.000046871624,0.0008764304,0.00039962656],"genre_scores_gemma":[0.000014696597,0.9753143,0.010966859,0.000041834275,0.00018904146,0.0127294,0.00020889245,0.0002935108,0.00024146223],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9974188,0.00002231036,0.0010800845,0.0007480259,0.00026811127,0.0004626567],"domain_scores_gemma":[0.9988853,0.00015491132,0.00029199407,0.0003335954,0.00019171782,0.00014253573],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003769406,0.00083331694,0.002752291,0.00025560183,0.00009922096,0.00024939858,0.00038376273,0.00034349525,0.0000024395638],"category_scores_gemma":[0.0011332426,0.0006241389,0.00027389496,0.0005964557,0.000024908337,0.00027176423,0.00006863949,0.00042046155,0.000021456803],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.6524753e-7,0.000013440911,2.7285907e-8,0.9834486,0.00020678881,0.0000011791863,0.00009161164,0.00047790646,5.288833e-8,0.000051607756,0.00028329677,0.015424704],"study_design_scores_gemma":[0.000111559435,0.000027069524,1.0844762e-8,0.93178153,0.006203418,0.000100704354,0.0000241491,0.005424117,0.0000031440295,0.000082539715,0.05542457,0.00081717886],"about_ca_topic_score_codex":2.6893457e-7,"about_ca_topic_score_gemma":0.0000012291487,"teacher_disagreement_score":0.055141278,"about_ca_system_score_codex":0.000099446304,"about_ca_system_score_gemma":0.00042182862,"threshold_uncertainty_score":0.999621},"labels":[],"label_agreement":null},{"id":"W4403249858","doi":"10.1016/j.procir.2024.08.395","title":"A Generalized Multi-Stage Deep Machine Learning Framework for Tool Wear Level Prediction in Milling Operations","year":2024,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","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; National Research Council Canada","funders":"","keywords":"Stage (stratigraphy); Engineering; Computer science; Manufacturing engineering; Artificial intelligence; Tool wear; Industrial engineering; Mechanical engineering; Systems engineering; Geology; Machining","score_opus":0.041306658595091215,"score_gpt":0.2964831447971225,"score_spread":0.2551764862020313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403249858","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012563481,0.003543393,0.982188,0.000053448377,0.00046667832,0.00037905222,0.000067599365,0.00068849063,0.00004987087],"genre_scores_gemma":[0.5205718,0.00070982875,0.4773306,0.000033065513,0.00022187036,0.00033910933,0.00019737714,0.00008464256,0.00051166816],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916774,0.000008835877,0.0002547475,0.00024534474,0.00009016894,0.00023317208],"domain_scores_gemma":[0.99973804,0.0000837546,0.000015055425,0.000080383594,0.000043595148,0.000039160714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001330579,0.00015590964,0.00014121481,0.00014281257,0.000117915515,0.00011316759,0.00007410078,0.00011976293,0.000038756676],"category_scores_gemma":[0.00031471817,0.00016257237,0.00004431875,0.00029434037,0.000009960368,0.0003188064,0.000015573625,0.0003437896,0.000010716362],"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":[0.00000928068,0.000012181424,0.00032939634,0.00045302886,0.000016958973,0.0000017304719,0.0014972893,0.988123,0.0013495027,0.0028293103,0.000009645457,0.0053686583],"study_design_scores_gemma":[0.0003745733,0.000028221468,0.00008180838,0.00016419748,0.000016344702,0.0000024425913,0.000075124226,0.9946089,0.00082056434,0.00058913545,0.0030608785,0.000177812],"about_ca_topic_score_codex":0.00001094737,"about_ca_topic_score_gemma":0.00008311989,"teacher_disagreement_score":0.50800836,"about_ca_system_score_codex":0.000074133844,"about_ca_system_score_gemma":0.000030031792,"threshold_uncertainty_score":0.6629509},"labels":[],"label_agreement":null},{"id":"W4403298730","doi":"10.1016/j.procir.2024.07.009","title":"Towards Autonomous Programming of Micro-Assembly Robotics","year":2024,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Modular Robots and Swarm Intelligence","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":"Innovation Cluster (Canada)","funders":"Gottfried Wilhelm Leibniz Universität Hannover; Deutsche Forschungsgemeinschaft","keywords":"Robotics; Artificial intelligence; Engineering; Computer science; Manufacturing engineering; Systems engineering; Robot","score_opus":0.014207470536972956,"score_gpt":0.23843427541779766,"score_spread":0.2242268048808247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403298730","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14649896,0.027635325,0.79384726,0.0005010656,0.0045580394,0.0010499909,0.000028520126,0.0034052217,0.02247563],"genre_scores_gemma":[0.9774013,0.00018033544,0.021952214,0.000013058604,0.00015292651,0.000026279306,0.0000053336157,0.00004871896,0.00021983788],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992054,0.0000040882032,0.00023539811,0.00017332635,0.00013178994,0.00024999058],"domain_scores_gemma":[0.9997033,0.000019566003,0.000015147404,0.00015242904,0.000045949346,0.00006363411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104211395,0.00013886302,0.00016143562,0.00008625233,0.000021028874,0.00006781097,0.00016501168,0.00007718445,0.000027233185],"category_scores_gemma":[0.000023239336,0.00013106682,0.000069797854,0.00021777017,0.000026512103,0.0000942238,0.00002823966,0.00015537739,0.00006661056],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000047715525,0.000064753425,0.00038689031,0.003974828,0.00018499345,0.00007115216,0.0030023474,0.08857634,0.04660052,0.01225499,0.0021848,0.8426936],"study_design_scores_gemma":[0.00016607228,0.00016686738,0.00057822175,0.00061408576,0.00012739125,0.000118069554,0.00020996043,0.45446658,0.46510354,0.002098129,0.075418174,0.000932889],"about_ca_topic_score_codex":0.000011688877,"about_ca_topic_score_gemma":0.000004646434,"teacher_disagreement_score":0.8417607,"about_ca_system_score_codex":0.00004502909,"about_ca_system_score_gemma":0.000062517596,"threshold_uncertainty_score":0.5344749},"labels":[],"label_agreement":null},{"id":"W4403934458","doi":"10.1016/j.procir.2024.10.020","title":"From manufacturing tolerancing to adaptive manufacturing targets","year":2024,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Manufacturing Process and Optimization","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":"Safran Electronics (Canada)","funders":"","keywords":"Manufacturing engineering; Geometric dimensioning and tolerancing; Engineering; Engineering drawing; Mechanical engineering","score_opus":0.008330888923616884,"score_gpt":0.2051424819576046,"score_spread":0.1968115930339877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403934458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63082635,0.005078948,0.33776936,0.00036496762,0.004652367,0.0008654199,0.000100303645,0.0051073744,0.015234896],"genre_scores_gemma":[0.9904078,0.00008209096,0.00785011,0.00010860938,0.0010454356,0.00009697709,0.000030022438,0.00011387279,0.00026506197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99850494,0.0000075434514,0.00028595806,0.0004808708,0.00025080802,0.00046986682],"domain_scores_gemma":[0.9994717,0.00007469423,0.000018620569,0.00021587836,0.000021283977,0.00019778886],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008927956,0.00032584462,0.00024281342,0.0002241076,0.00009817193,0.0002603609,0.00022605328,0.000120174576,0.00031002224],"category_scores_gemma":[0.000016053908,0.0003262771,0.00007664059,0.00011118826,0.000011757031,0.00041040714,0.00006859568,0.00031066607,0.00040904907],"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":[0.000035627534,0.000019949579,0.00004893473,0.0011236632,0.00020090971,0.00009941397,0.0072149537,0.8267851,0.0020584215,0.00014654537,0.00484563,0.15742084],"study_design_scores_gemma":[0.00020389291,0.000035499183,0.0013066565,0.00048655763,0.000047819398,0.000009634692,0.00018735162,0.14752942,0.8110182,0.002010468,0.03639536,0.0007691096],"about_ca_topic_score_codex":0.00005880879,"about_ca_topic_score_gemma":0.000019015857,"teacher_disagreement_score":0.8089598,"about_ca_system_score_codex":0.0001587066,"about_ca_system_score_gemma":0.000025607475,"threshold_uncertainty_score":0.99991894},"labels":[],"label_agreement":null},{"id":"W4403935043","doi":"10.1016/j.procir.2024.10.042","title":"Assessing layer deviations and correction for robotic polymer 3D printing applications","year":2024,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Additive Manufacturing and 3D Printing Technologies","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":"Natural Sciences and Engineering Research Council of Canada","keywords":"3D printing; Layer (electronics); Polymer; Materials science; Mechanical engineering; Engineering drawing; Computer science; Engineering; Nanotechnology; Composite material","score_opus":0.022996036536313207,"score_gpt":0.27132551255800913,"score_spread":0.24832947602169592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403935043","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038396563,0.0016083748,0.9537727,0.00018144023,0.00056982477,0.0003320894,0.0000030568197,0.0028966852,0.002239247],"genre_scores_gemma":[0.99253106,0.0000389366,0.006624231,0.000009361126,0.00016616695,0.00037141153,0.000009459315,0.00003011751,0.00021927872],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952066,0.0000029062985,0.00010962784,0.00017075527,0.000044513763,0.00015156253],"domain_scores_gemma":[0.99968845,0.00016111489,0.000015377593,0.00008656788,0.000026970369,0.000021518288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007391069,0.000093347684,0.000078706515,0.00010796898,0.00013062892,0.00020644245,0.00005495548,0.00006358072,0.000005871105],"category_scores_gemma":[0.0000884187,0.000094072246,0.000024502328,0.00012941023,0.00002461189,0.00020085525,0.0000288721,0.00014135939,0.000014134337],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010796065,0.000016651524,0.0011627787,0.0011581618,0.000095531745,0.0000010470696,0.00043500948,0.007935663,0.0074264617,0.0070968214,0.0019950802,0.97267574],"study_design_scores_gemma":[0.00015865687,0.00002188349,0.007912353,0.000365311,0.0001248942,0.00004053954,0.0005037945,0.7371853,0.21664314,0.005198635,0.031290334,0.0005551384],"about_ca_topic_score_codex":0.0000018918981,"about_ca_topic_score_gemma":0.0000018560474,"teacher_disagreement_score":0.9721206,"about_ca_system_score_codex":0.00003174692,"about_ca_system_score_gemma":0.000014286632,"threshold_uncertainty_score":0.3836155},"labels":[],"label_agreement":null},{"id":"W4404789475","doi":"10.1016/j.procir.2024.10.320","title":"Anomaly detection on MVTec AD using VQ-VAE-2","year":2024,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","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":"Investment Agriculture Foundation; Agency for Science, Technology and Research","keywords":"Anomaly detection; Anomaly (physics); Pattern recognition (psychology); Artificial intelligence; Geology; Computer science; Mathematics; Physics","score_opus":0.020320279521997556,"score_gpt":0.2748372726133923,"score_spread":0.25451699309139475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404789475","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037745006,0.00023750104,0.9568553,0.0004549335,0.00040655726,0.00022591591,0.0000021903024,0.0015058231,0.0025667618],"genre_scores_gemma":[0.98280436,0.00002855078,0.016356746,0.00016136402,0.00018236997,0.00010147642,7.3321723e-7,0.000016453414,0.00034792596],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904245,0.000011518238,0.00015844037,0.0004292897,0.00016379371,0.00019452785],"domain_scores_gemma":[0.99948084,0.00003321244,0.00003930435,0.0003292022,0.000050906474,0.00006651634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110750276,0.00012026778,0.00008525446,0.00018025018,0.00018197094,0.00024740692,0.00032602588,0.00007587198,0.000014274223],"category_scores_gemma":[0.000016140142,0.000114836635,0.000070852635,0.0006849649,0.000024110306,0.00033975847,0.000078806035,0.00017730467,0.00018811095],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071085715,0.00008138552,0.00008016444,0.00008967676,0.000029949391,0.000016759552,0.0003946725,0.0000789093,0.08781805,0.040008854,0.0009713673,0.8704231],"study_design_scores_gemma":[0.00012837518,0.00030138975,0.00096895016,0.000109846376,0.000028257355,0.00017694866,0.000027741253,0.46497244,0.411852,0.018069336,0.10285,0.00051471207],"about_ca_topic_score_codex":0.00002065017,"about_ca_topic_score_gemma":0.000007133352,"teacher_disagreement_score":0.94505936,"about_ca_system_score_codex":0.00009209255,"about_ca_system_score_gemma":0.00006655588,"threshold_uncertainty_score":0.46829018},"labels":[],"label_agreement":null},{"id":"W4404789565","doi":"10.1016/j.procir.2024.10.184","title":"ROS-Based Control of an Industrial Micro-Assembly Robot","year":2024,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Robotic Mechanisms and Dynamics","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":"Innovation Cluster (Canada)","funders":"Deutsche Forschungsgemeinschaft","keywords":"Robot; Control (management); Manufacturing engineering; Engineering; Control engineering; Computer science; Systems engineering; Artificial intelligence","score_opus":0.013176100578491076,"score_gpt":0.21509454427193564,"score_spread":0.20191844369344455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404789565","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.107743904,0.00088365556,0.88570094,0.00017602042,0.0024658875,0.0004919877,0.00007212665,0.00092146045,0.001544024],"genre_scores_gemma":[0.9871314,0.0000073562514,0.012373774,0.000041123716,0.0003108409,0.000025019872,0.000018777679,0.000047391593,0.000044292574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926555,0.000009493866,0.00021738556,0.00016486167,0.00013498425,0.00020771503],"domain_scores_gemma":[0.9996451,0.000055604854,0.000018904248,0.00015803621,0.000031838605,0.00009052274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013800988,0.00013330685,0.00019081926,0.00008974607,0.000018902925,0.000051975,0.00013045486,0.00014378894,0.000036411948],"category_scores_gemma":[0.000035297777,0.00012833372,0.00005994273,0.00016123215,0.000014351958,0.0001049164,0.0000060875723,0.0001793228,0.0000246328],"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":[0.000040462706,0.00006476381,0.00014809288,0.0005326902,0.00008734539,0.000032674023,0.0001897691,0.7812137,0.187979,0.0069764457,0.00072680996,0.022008225],"study_design_scores_gemma":[0.00067127304,0.00009479354,0.00004811714,0.00007743633,0.000043354146,0.0000053859853,0.000016036369,0.9760769,0.021773713,0.0006212694,0.0003998601,0.00017184974],"about_ca_topic_score_codex":0.00000805055,"about_ca_topic_score_gemma":0.0000054555135,"teacher_disagreement_score":0.8793875,"about_ca_system_score_codex":0.00003472496,"about_ca_system_score_gemma":0.00008905159,"threshold_uncertainty_score":0.5233297},"labels":[],"label_agreement":null},{"id":"W4404789647","doi":"10.1016/j.procir.2024.10.197","title":"Sustainability and risk considerations for the concurrent product and supply chain design","year":2024,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Product Development and Customization","field":"Business, Management and Accounting","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":"Cape Breton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sustainability; Supply chain; Supply chain risk management; Product (mathematics); Business; Risk analysis (engineering); Product design; Concurrent engineering; Supply chain management; Engineering; Operations management; Marketing; Service management","score_opus":0.02051215721855548,"score_gpt":0.23413408159510726,"score_spread":0.21362192437655178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404789647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42911074,0.07199426,0.21651296,0.24237718,0.007453285,0.027993549,0.00007917156,0.0023128807,0.002165962],"genre_scores_gemma":[0.9977784,0.00024330743,0.00041440286,0.0002117872,0.0007960452,0.00033309482,0.000012400124,0.000015041496,0.0001955209],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992787,0.000009979621,0.00014526624,0.00031591475,0.000087074055,0.0001630159],"domain_scores_gemma":[0.99931824,0.0002932783,0.000051561456,0.00009524179,0.000232823,0.000008878528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082407927,0.000112168935,0.00009223351,0.000077898265,0.00039570167,0.0005724156,0.000046985475,0.000024158599,0.000022173066],"category_scores_gemma":[0.0019390011,0.00007886552,0.000017660017,0.00017673774,0.00008487772,0.0005324279,0.00005702908,0.00008159702,0.0000058893897],"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":[0.000111691304,0.00011974089,0.10171489,0.0052033514,0.00026757616,0.000006732261,0.0042179795,0.00029423987,0.00021779741,0.3329931,0.15920086,0.39565206],"study_design_scores_gemma":[0.0014906698,0.00004075752,0.07009979,0.00013557445,0.0007566867,0.00002098641,0.0016483276,0.18809488,0.0008299325,0.4327234,0.30324978,0.00090919796],"about_ca_topic_score_codex":0.000029485638,"about_ca_topic_score_gemma":0.000021835232,"teacher_disagreement_score":0.56866765,"about_ca_system_score_codex":0.000021810607,"about_ca_system_score_gemma":0.00011046004,"threshold_uncertainty_score":0.5519817},"labels":[],"label_agreement":null},{"id":"W4404789861","doi":"10.1016/j.procir.2024.10.268","title":"Tracking of Global Automotive Suppliers Cargo Shipping Network for Visibility of the Distribution Network","year":2024,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced Manufacturing and Logistics Optimization","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":"Adidas (Canada)","funders":"Schaeffler Gruppe","keywords":"Automotive industry; Visibility; Distribution (mathematics); Tracking (education); Transport engineering; Aeronautics; Computer science; Business; Engineering; Aerospace engineering; Geography; Meteorology","score_opus":0.008972706234828308,"score_gpt":0.23603933035996333,"score_spread":0.227066624125135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404789861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01912464,0.0011223071,0.97747314,0.00003161916,0.0012458833,0.00036009037,0.0002301086,0.00020699776,0.00020520335],"genre_scores_gemma":[0.9933743,0.00003192852,0.006175769,0.0000052095756,0.00031085685,0.000022749427,0.000060117483,0.000014433855,0.0000046599052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999307,0.000009601629,0.00022798698,0.00014665404,0.000092537324,0.00021623363],"domain_scores_gemma":[0.99956775,0.00012262922,0.00004787374,0.00012855667,0.00010809285,0.000025072402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001849486,0.00010217888,0.00014474046,0.000006200638,0.000058328937,0.00001586445,0.0001034345,0.00007002858,0.0000022379525],"category_scores_gemma":[0.0002473854,0.000086008906,0.000078654826,0.00024451033,0.000050241422,0.00007103401,0.000022615044,0.000097693555,3.2248383e-7],"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":[0.00000894526,0.0000048058077,0.0017055637,0.0004904292,0.000028931607,1.2522734e-7,0.00010116521,0.98913026,0.000017079868,0.004728867,0.00065645605,0.003127373],"study_design_scores_gemma":[0.00026313186,0.0000500919,0.022377146,0.0005700534,0.00013808589,0.0000023201849,0.00008254292,0.90834993,0.006241765,0.060289774,0.0013614479,0.00027369233],"about_ca_topic_score_codex":0.0000040495224,"about_ca_topic_score_gemma":0.000009691642,"teacher_disagreement_score":0.97424966,"about_ca_system_score_codex":0.00013561324,"about_ca_system_score_gemma":0.000035401255,"threshold_uncertainty_score":0.35073414},"labels":[],"label_agreement":null},{"id":"W4404789867","doi":"10.1016/j.procir.2024.10.083","title":"Large Language Model for Assisted Robot Programming in Micro-Assembly","year":2024,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Robot Manipulation and Learning","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":"Innovation Cluster (Canada)","funders":"Deutsche Forschungsgemeinschaft","keywords":"Robot; Computer science; Programming language; Engineering; Human–computer interaction; Artificial intelligence","score_opus":0.023561765640409713,"score_gpt":0.2782075287409084,"score_spread":0.2546457631004987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404789867","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09427271,0.003002185,0.8983535,0.00017531571,0.00040978825,0.00063373125,0.0000041536236,0.0015096187,0.0016389842],"genre_scores_gemma":[0.9877361,0.00000841257,0.011201862,0.00003319068,0.000108263295,0.00014985877,0.000036830683,0.000055485416,0.0006699679],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929863,0.0000056543017,0.00016443862,0.00016978836,0.000075784206,0.0002856968],"domain_scores_gemma":[0.99981153,0.00003711973,0.000011083938,0.00008081446,0.000016850363,0.00004259217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015765785,0.00011190559,0.000113900074,0.0001381412,0.000032104148,0.00009875441,0.00007348825,0.00007383497,0.000011793377],"category_scores_gemma":[0.00004620376,0.00011746354,0.000051335337,0.00021622363,0.000004147224,0.00013834778,0.000013235992,0.0001718096,0.00003457594],"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":[0.000010682442,0.0000500425,0.0011017547,0.0017475688,0.000044336357,0.000025804942,0.012222698,0.88847667,0.045060873,0.0017378166,0.0016708595,0.047850866],"study_design_scores_gemma":[0.00022164483,0.0000068977624,0.0007300203,0.000087894936,0.000008960986,0.000004297774,0.00020388397,0.9945718,0.000653761,0.000045261073,0.0033178697,0.00014772083],"about_ca_topic_score_codex":0.0000028314905,"about_ca_topic_score_gemma":0.000058283556,"teacher_disagreement_score":0.89346343,"about_ca_system_score_codex":0.000059275364,"about_ca_system_score_gemma":0.000025142826,"threshold_uncertainty_score":0.47900242},"labels":[],"label_agreement":null},{"id":"W4407955578","doi":"10.1016/j.procir.2024.09.004","title":"Optimizing the properties of PHBV/PBAT blend for additive manufacturing","year":2025,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Additive Manufacturing and 3D Printing Technologies","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":false,"ca_institutions":"University of Guelph","funders":"Genesis HealthCare System; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Business; Process engineering; Engineering","score_opus":0.015426120383168674,"score_gpt":0.21311627020332896,"score_spread":0.19769014982016028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407955578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9117287,0.0036514488,0.05901046,0.0010839014,0.0011326749,0.0017482651,0.00011476301,0.0029733859,0.018556392],"genre_scores_gemma":[0.9964094,0.00011914379,0.0027971638,0.000029747669,0.000061023264,0.00026168273,0.00000434915,0.000023886567,0.0002935884],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927425,0.0000074544396,0.0001987839,0.00017386566,0.000083056526,0.00026255593],"domain_scores_gemma":[0.99950224,0.00015547311,0.00004672458,0.00022730695,0.000052929667,0.00001534494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120041586,0.0001658285,0.00019037403,0.000106708554,0.00012950784,0.000030174508,0.00032108944,0.00008177794,0.0000091553175],"category_scores_gemma":[0.00021008673,0.0001174938,0.00007684165,0.000083404986,0.00012123003,0.00007908487,0.00010802863,0.00019281813,0.0000040836644],"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":[0.00020547854,0.00013481836,0.00024134183,0.007468205,0.0014140661,0.0000056502568,0.007473856,0.028171463,0.052351788,0.014260356,0.032048095,0.8562249],"study_design_scores_gemma":[0.00017771052,0.00001631728,0.00025589092,0.00023864223,0.000030858962,0.0000011490436,0.000610924,0.0024830524,0.9826662,0.0023246736,0.011058061,0.00013654046],"about_ca_topic_score_codex":0.000004150956,"about_ca_topic_score_gemma":0.00000325952,"teacher_disagreement_score":0.9303144,"about_ca_system_score_codex":0.000036925467,"about_ca_system_score_gemma":0.000022720711,"threshold_uncertainty_score":0.47912583},"labels":[],"label_agreement":null},{"id":"W4408051530","doi":"10.1016/j.procir.2025.01.012","title":"Static stiffness analysis of an electronically preloaded rack and pinion feed drive system","year":2025,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Gear and Bearing Dynamics Analysis","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":"Steadman Philippon Research Institute","keywords":"Rack; Stiffness; Pinion; Materials science; Structural engineering; Mechanical engineering; Composite material; Metallurgy; Engineering","score_opus":0.003172478135525922,"score_gpt":0.21021752331291244,"score_spread":0.2070450451773865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408051530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99001163,0.0002101167,0.008891678,0.000027387023,0.00004994743,0.00011914025,0.000013888722,0.0001383767,0.0005378379],"genre_scores_gemma":[0.999431,0.000032559037,0.0003883177,0.00000759172,0.000009859766,0.000015471658,0.00004844677,0.000011877318,0.00005484997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992352,0.000018593613,0.00025345272,0.00019291679,0.00012181391,0.00017802235],"domain_scores_gemma":[0.9995684,0.00004896563,0.00004502045,0.00019599401,0.000086919434,0.000054677836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013554606,0.00011324374,0.00034470065,0.00037251454,0.000034606845,0.000036474405,0.00011801844,0.00006470602,0.0000051195425],"category_scores_gemma":[0.000035382353,0.00011136281,0.00007647625,0.0009860387,0.00002283687,0.00006653526,0.000025207959,0.00010296652,0.0000017702807],"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":[0.00020936014,0.0004391023,0.054499265,0.009627598,0.02233221,0.000015785668,0.0042322334,0.72566456,0.11906214,0.022191076,0.00024007642,0.041486587],"study_design_scores_gemma":[0.00022344015,0.000022544426,0.098346636,0.000047477082,0.001423741,5.556792e-7,0.00013045191,0.89878684,0.00077116856,0.000114026756,0.000019351117,0.0001137442],"about_ca_topic_score_codex":0.000053845222,"about_ca_topic_score_gemma":0.00012504308,"teacher_disagreement_score":0.1731223,"about_ca_system_score_codex":0.00006919697,"about_ca_system_score_gemma":0.0000369665,"threshold_uncertainty_score":0.45412436},"labels":[],"label_agreement":null},{"id":"W4408051534","doi":"10.1016/j.procir.2025.01.021","title":"On a heuristic evaluation system for Industry 5.0 with respect to interventions: the case of training in businesses","year":2025,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Digital Transformation in Industry","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":"Workplace Health, Safety and Compensation Commission","funders":"European Commission","keywords":"Training (meteorology); Heuristic; Psychological intervention; Training system; Business; Operations management; Manufacturing engineering; Engineering management; Engineering; Computer science; Artificial intelligence; Economics; Medicine; Economic growth; Nursing; Geography","score_opus":0.06012906014211889,"score_gpt":0.3199198158255448,"score_spread":0.2597907556834259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408051534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93674046,0.00016193608,0.026845645,0.00033728202,0.0004478909,0.002063874,0.000058361224,0.00017008609,0.03317445],"genre_scores_gemma":[0.99900466,5.4105675e-7,0.00016373463,0.000015817192,0.000023205826,0.0007425191,0.000005031301,0.000011764074,0.000032708987],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941355,0.0000134263255,0.00027629768,0.0000913491,0.00009611245,0.000109279776],"domain_scores_gemma":[0.9994837,0.00020996339,0.000032210304,0.0001177091,0.0001370019,0.000019384286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036918544,0.000082157974,0.000113810966,0.00020573614,0.000031057894,0.00003567689,0.0000863305,0.00007806523,0.0000050952353],"category_scores_gemma":[0.00041423988,0.00006392183,0.00002824939,0.000558452,0.000015811474,0.00011887779,0.0000059830627,0.0001627457,0.0000020428822],"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":[0.00036722134,0.0001613327,0.0010336317,0.019308642,0.0002477274,0.00006655016,0.011560589,0.7518203,0.00014683526,0.08396608,0.0030714064,0.12824969],"study_design_scores_gemma":[0.020590493,0.002274193,0.01582151,0.11854881,0.0014874528,0.00191379,0.2403414,0.5209822,0.038250513,0.03318064,0.00354464,0.0030643411],"about_ca_topic_score_codex":0.000006790102,"about_ca_topic_score_gemma":0.00007230178,"teacher_disagreement_score":0.23083809,"about_ca_system_score_codex":0.000117266834,"about_ca_system_score_gemma":0.00010015416,"threshold_uncertainty_score":0.26066566},"labels":[],"label_agreement":null},{"id":"W4409171549","doi":"10.1016/j.procir.2025.02.022","title":"Simulation-Based Enhancement of Flexure Hinges Machining for the Ariel Telescope M1 Mirror","year":2025,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced Measurement and Metrology Techniques","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":"Institut sur la Nutrition et les Aliments Fonctionnels; Istituto Nazionale di Astrofisica; Agenzia Spaziale Italiana","keywords":"Hinge; Machining; Telescope; Aerospace engineering; Engineering; Mechanical engineering; Optics; Computer science; Physics","score_opus":0.022018199849339302,"score_gpt":0.29379030714120236,"score_spread":0.2717721072918631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409171549","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0134273395,0.001711336,0.98243225,0.00020160736,0.00026735547,0.0006144519,0.000006024742,0.0002514554,0.0010881728],"genre_scores_gemma":[0.9726062,0.000023451432,0.026738312,0.00019002482,0.000026390422,0.00028100723,0.0000068362287,0.00001494281,0.00011287682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945104,0.0000058634787,0.00018097978,0.00011428815,0.0000897052,0.00015812692],"domain_scores_gemma":[0.99929404,0.0004129479,0.000042688487,0.00014637156,0.000087939196,0.000016031203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001995364,0.000108089145,0.00014038733,0.000077741905,0.000071630886,0.000007986178,0.00013696053,0.000060449453,0.000011909327],"category_scores_gemma":[0.00027820584,0.00008574598,0.000048048896,0.00011718644,0.00002989054,0.000047502872,0.000011316939,0.000100104895,8.06877e-7],"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":[0.00040114406,0.00020216109,0.01429093,0.0030494123,0.0005281473,9.528371e-7,0.0015997519,0.52053195,0.30285305,0.0067040357,0.0034583425,0.14638014],"study_design_scores_gemma":[0.0007366896,0.00008629785,0.0006644336,0.00016031538,0.00010533344,3.813063e-8,0.000078412,0.46086738,0.50957006,0.0028103057,0.024735035,0.00018572215],"about_ca_topic_score_codex":0.0000025956901,"about_ca_topic_score_gemma":0.00001197378,"teacher_disagreement_score":0.9591788,"about_ca_system_score_codex":0.000034815526,"about_ca_system_score_gemma":0.000044650216,"threshold_uncertainty_score":0.34966198},"labels":[],"label_agreement":null},{"id":"W4409190793","doi":"10.1016/j.procir.2025.02.086","title":"Experimental investigation and simulation of laser surface heating and its effects on residual stresses and microstructure for AISI 52100 and H13","year":2025,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Metal and Thin Film Mechanics","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":"National Research Council Canada; McGill University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Microstructure; Materials science; Residual stress; Laser; Metallurgy; Residual; Composite material; Optics; Computer science","score_opus":0.009274142599648295,"score_gpt":0.23762697073562294,"score_spread":0.22835282813597466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409190793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99588346,0.0035337973,0.00008485235,0.000022943857,0.000102919614,0.0002945994,0.00001594936,0.000029129347,0.00003234197],"genre_scores_gemma":[0.9990733,0.000050907398,0.00076833647,0.000028450113,0.000024489189,0.000008896104,0.00000849075,0.000009633388,0.00002749175],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996352,0.000008765949,0.00009812596,0.00013230812,0.000049976785,0.00007561285],"domain_scores_gemma":[0.9997616,0.00012640368,0.000022652463,0.000030929263,0.000023829933,0.000034594825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059321912,0.0000930856,0.00011605508,0.00003283919,0.000050661893,0.00002574202,0.000015770305,0.00006062536,6.881309e-7],"category_scores_gemma":[0.000102456346,0.00008808681,0.00000580942,0.000046159214,0.000015618687,0.000090166446,0.000022294524,0.000050130122,6.125822e-8],"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":[0.000057410456,0.000007635139,0.0030215553,0.0034598822,0.00003665572,5.609102e-7,0.0014527482,0.006248858,0.9821366,0.0011392337,0.00008046264,0.0023583781],"study_design_scores_gemma":[0.0004875344,0.000074770716,0.0024635498,0.00016234127,0.000017361503,0.0000013399487,0.00007652742,0.10167609,0.8936302,0.0013065343,0.000025486133,0.00007825991],"about_ca_topic_score_codex":0.0000021447606,"about_ca_topic_score_gemma":0.0000014966062,"teacher_disagreement_score":0.09542724,"about_ca_system_score_codex":0.00000594464,"about_ca_system_score_gemma":0.0000065592917,"threshold_uncertainty_score":0.3592076},"labels":[],"label_agreement":null},{"id":"W4411342679","doi":"10.1016/j.procir.2025.02.197","title":"Industry 4.0 in Automotive Manufacturing: A Digital Twin Approach","year":2025,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Digital Transformation in Industry","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 Windsor","funders":"","keywords":"Automotive industry; Manufacturing engineering; Engineering; Business; Aerospace engineering","score_opus":0.009645086582155637,"score_gpt":0.21392955576899367,"score_spread":0.20428446918683804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411342679","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24065033,0.000068039575,0.0022132944,0.00012949566,0.00026082265,0.00027371853,0.000027314985,0.000580705,0.7557963],"genre_scores_gemma":[0.998467,0.0000029584053,0.00017220051,0.00009349535,0.000044927772,0.00009437342,0.000023146484,0.000022533586,0.0010793523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99912655,0.0000038686167,0.00026947758,0.0001733975,0.00013551452,0.0002911987],"domain_scores_gemma":[0.99971527,0.000034283305,0.000016446527,0.00014598962,0.000024104575,0.00006390522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059280286,0.00017194984,0.00015536798,0.00025016937,0.000021865462,0.0001545644,0.00020319334,0.0006584339,0.000023477523],"category_scores_gemma":[0.000047639198,0.00018719463,0.000038979513,0.00034261003,0.000036412806,0.0007468521,0.000030448355,0.0014182306,0.000058060905],"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":[0.00010660552,0.001725771,0.1955243,0.008869356,0.0008577262,0.00012525592,0.01565782,0.337748,0.00029086208,0.028721344,0.099378236,0.3109947],"study_design_scores_gemma":[0.01290007,0.00021410029,0.35930791,0.0031424789,0.00015482726,0.00021931723,0.021419091,0.10630285,0.2044794,0.041264832,0.24378937,0.006805758],"about_ca_topic_score_codex":0.0000015230471,"about_ca_topic_score_gemma":6.985662e-7,"teacher_disagreement_score":0.7578167,"about_ca_system_score_codex":0.00013187865,"about_ca_system_score_gemma":0.000052810683,"threshold_uncertainty_score":0.7633576},"labels":[],"label_agreement":null},{"id":"W4411342727","doi":"10.1016/j.procir.2025.02.210","title":"Design of Sustainable Intertwined Supply Networks","year":2025,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","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":"Cape Breton University; University of Windsor","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Cape Breton University","keywords":"Business; Computer science; Systems engineering; Engineering; Manufacturing engineering","score_opus":0.00741659631632756,"score_gpt":0.20682810444675082,"score_spread":0.19941150813042324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411342727","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01592474,0.0014316099,0.8054694,0.0076500797,0.0015486998,0.0051193694,0.0000010639664,0.00090293377,0.16195212],"genre_scores_gemma":[0.98376507,0.000016940903,0.00065448263,0.0021725027,0.00047469232,0.0002235996,0.00001755632,0.00003454359,0.012640614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99838686,0.000014782159,0.00038641362,0.0003640688,0.00021936907,0.0006285322],"domain_scores_gemma":[0.9987733,0.000106451764,0.00019851074,0.0003646506,0.000544669,0.000012424268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007204378,0.00023141553,0.0002953656,0.0007136882,0.00014760341,0.00022203021,0.00053924235,0.00008835627,0.00023810296],"category_scores_gemma":[0.0004932262,0.0002296958,0.000076699514,0.0014901927,0.000075333,0.00081211136,0.0005716451,0.00014806235,0.000038771366],"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":[0.00051687466,0.0004016295,0.04141422,0.005769908,0.00029299932,0.000158163,0.0002897291,0.043028098,0.00017247461,0.59596586,0.30154124,0.010448792],"study_design_scores_gemma":[0.004364417,0.00008897882,0.012888101,0.0005269876,0.000581324,0.0000022449838,0.018920856,0.37268487,0.00065280474,0.12045162,0.46746236,0.0013754265],"about_ca_topic_score_codex":0.00028496562,"about_ca_topic_score_gemma":0.000006166173,"teacher_disagreement_score":0.9678403,"about_ca_system_score_codex":0.00010955562,"about_ca_system_score_gemma":0.00008900382,"threshold_uncertainty_score":0.93667233},"labels":[],"label_agreement":null},{"id":"W4411342729","doi":"10.1016/j.procir.2025.02.198","title":"An Energy-Aware Flexible Job-Shop Scheduling Problem with Sequencing Flexibility and Sequence-Dependent Setup Times","year":2025,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Scheduling and Optimization Algorithms","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":"Cape Breton University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Job shop scheduling; Job shop; Flexibility (engineering); Scheduling (production processes); Sequence (biology); Computer science; Industrial engineering; Flow shop scheduling; Engineering; Operations management; Management; Genetics; Economics; Biology; Schedule; Operating system","score_opus":0.016297108515241934,"score_gpt":0.25126716773767216,"score_spread":0.23497005922243022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411342729","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24928553,0.0021328486,0.7292112,0.0003015002,0.00049926573,0.0006485525,0.000043099186,0.0037182574,0.014159741],"genre_scores_gemma":[0.8775367,0.000111138324,0.12140179,0.0001309218,0.00009962743,0.00008977406,0.000036369758,0.000051393297,0.00054226443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985602,0.00002743542,0.0003001078,0.0004926982,0.00023343287,0.00038611234],"domain_scores_gemma":[0.99922603,0.00004793952,0.00004619925,0.000336615,0.0001743207,0.00016891876],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002620987,0.00028391188,0.00026441758,0.000181762,0.0001876524,0.000186834,0.00020484201,0.00015317777,0.00003967346],"category_scores_gemma":[0.00002873645,0.00026488106,0.00003068897,0.00046394547,0.000074104195,0.00041925872,0.00004247526,0.00025692265,0.0000068331883],"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":[0.00004750282,0.0000484964,0.009641088,0.0008248223,0.00014186544,0.00001786932,0.0012692936,0.96252835,0.0035883419,0.0028924241,0.00008078844,0.01891916],"study_design_scores_gemma":[0.00051998784,0.00005996644,0.00010657705,0.00023639087,0.000047701473,0.000025962148,0.0007014029,0.98001564,0.016037043,0.0017615912,0.00008952561,0.00039820612],"about_ca_topic_score_codex":0.00005190024,"about_ca_topic_score_gemma":0.00004564579,"teacher_disagreement_score":0.6282512,"about_ca_system_score_codex":0.00018769897,"about_ca_system_score_gemma":0.00025054291,"threshold_uncertainty_score":0.99998033},"labels":[],"label_agreement":null},{"id":"W4413072888","doi":"10.1016/j.procir.2025.01.046","title":"Adaptive LCI Data Completion: Integrating Neural Processes and Active Learning for Enhanced Life Cycle Assessment","year":2025,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Environmental Impact and Sustainability","field":"Environmental Science","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; Natural Sciences and Engineering Research Council of Canada","funders":"Seco Tools; Engineering and Physical Sciences Research Council","keywords":"Computer science; Psychology; Process management; Artificial intelligence; Engineering","score_opus":0.023709556727510454,"score_gpt":0.31360141137326686,"score_spread":0.2898918546457564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413072888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94591427,0.00011885773,0.04099904,0.0006954323,0.00008211787,0.0010835675,0.000033465974,0.000080567486,0.010992688],"genre_scores_gemma":[0.9953739,0.000019982734,0.003810777,0.00026013458,0.000034655226,0.00013929537,0.00006467155,0.0000111703885,0.0002854065],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987944,0.00004540734,0.00019233127,0.00050630065,0.000176622,0.00028496893],"domain_scores_gemma":[0.99932635,0.00023067136,0.00009570471,0.00022326458,0.00002092119,0.00010308635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025537075,0.00016472969,0.00018710477,0.000024455267,0.00035114834,0.00006401782,0.00027235333,0.00005247088,0.00013072365],"category_scores_gemma":[0.00094734994,0.00014892497,0.000022399368,0.00019410292,0.00022795584,0.0006248294,0.0005425917,0.00021514254,0.0000051826228],"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":[0.001133371,0.0013577603,0.46273133,0.0020425988,0.00026793405,0.0000071518484,0.0146018695,0.011584231,0.034252588,0.0014827604,0.002758464,0.46777993],"study_design_scores_gemma":[0.0018636553,0.00067195244,0.72106934,0.00012274997,0.000121357436,0.0000047358,0.02186081,0.2376708,0.0064649684,0.0055716955,0.0038478414,0.0007301152],"about_ca_topic_score_codex":0.0000831646,"about_ca_topic_score_gemma":0.00011699635,"teacher_disagreement_score":0.4670498,"about_ca_system_score_codex":0.0002343101,"about_ca_system_score_gemma":0.000076060875,"threshold_uncertainty_score":0.6072984},"labels":[],"label_agreement":null},{"id":"W4413813856","doi":"10.1016/j.procir.2025.04.005","title":"Adaptive Spatiotemporal Thermal Model for Real-Time Temperature Prediction in Directed Energy Deposition","year":2025,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Additive Manufacturing Materials and Processes","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","keywords":"Deposition (geology); Thermal; Energy (signal processing); Computer science; Environmental science; Materials science; Meteorology; Geology; Physics","score_opus":0.005943364401334688,"score_gpt":0.19374138859848097,"score_spread":0.18779802419714628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413813856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9400533,0.0003293394,0.046851907,0.000091879876,0.0005026425,0.00061982486,0.00047589937,0.0013548608,0.009720387],"genre_scores_gemma":[0.99715716,0.000056724006,0.0015786183,0.000026633252,0.00013406301,0.00028362256,0.00023399042,0.000025617821,0.0005035847],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994145,0.000011023022,0.00016997801,0.00017221643,0.0000630628,0.00016919959],"domain_scores_gemma":[0.99977773,0.000038373328,0.00002629155,0.000070013586,0.00006289368,0.000024684978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053064654,0.00014020187,0.00014940985,0.00009856934,0.00005219898,0.00003526606,0.00006293749,0.00012552264,0.000018197261],"category_scores_gemma":[0.000022003056,0.00013813519,0.000027425762,0.0001131541,0.000012914851,0.00015891567,0.000012586192,0.00006554164,0.000002357718],"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":[0.0006290265,0.00012510018,0.00050363754,0.0013241051,0.00015115041,0.0000055420246,0.001369632,0.37222236,0.5948311,0.0015452043,0.012126009,0.01516712],"study_design_scores_gemma":[0.00036559431,0.000030593907,0.0031506778,0.00011971971,0.000017049662,6.637711e-7,0.0000116206265,0.72168756,0.27273276,0.0016191556,0.000115468334,0.00014912538],"about_ca_topic_score_codex":0.000033808643,"about_ca_topic_score_gemma":0.00003996791,"teacher_disagreement_score":0.34946522,"about_ca_system_score_codex":0.000064006024,"about_ca_system_score_gemma":0.0000429694,"threshold_uncertainty_score":0.563299},"labels":[],"label_agreement":null},{"id":"W4413814079","doi":"10.1016/j.procir.2025.01.113","title":"Electrochemical jet machining of Ti-alloys in a deep eutectic solvent electrolyte","year":2025,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced Machining and Optimization Techniques","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":"Engineering and Physical Sciences Research Council","keywords":"Eutectic system; Materials science; Electrolyte; Electrochemistry; Electrochemical machining; Machining; Jet (fluid); Deep eutectic solvent; Metallurgy; Solvent; Alloy; Chemical engineering; Electrode; Chemistry; Engineering; Physical chemistry; Aerospace engineering; Organic chemistry","score_opus":0.0033257315607210323,"score_gpt":0.22655431933689074,"score_spread":0.22322858777616972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413814079","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051988855,0.0022447403,0.9296304,0.0000833642,0.00010723449,0.00027909424,0.0000014618354,0.001001642,0.014663238],"genre_scores_gemma":[0.9831161,0.00023135562,0.016429257,0.000057777826,0.000020496536,0.00007194809,0.000007603728,0.000024500969,0.000040943803],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992235,0.00000998417,0.0002589304,0.00016236036,0.00008642558,0.00025884795],"domain_scores_gemma":[0.9997153,0.000058839698,0.00003513727,0.0001266569,0.00003291667,0.00003109951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010809255,0.00013604475,0.00020800476,0.00021291617,0.00002268928,0.00000948177,0.00013834554,0.00008654355,0.000009917192],"category_scores_gemma":[0.00013410894,0.00014566418,0.000041735213,0.00038975498,0.000018639705,0.00006807583,0.00002471795,0.0002967439,0.0000018684075],"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":[0.00015197144,0.00022826255,0.01519636,0.0013075875,0.00016298186,0.00000927612,0.0015788082,0.054061294,0.8798217,0.010066342,0.00058404636,0.036831334],"study_design_scores_gemma":[0.0004860268,0.000071721945,0.00045362828,0.00017789671,0.000025629706,0.0000060885404,0.000029593995,0.26321286,0.72726035,0.007458336,0.00053681823,0.00028106984],"about_ca_topic_score_codex":0.0000033214185,"about_ca_topic_score_gemma":0.000013235149,"teacher_disagreement_score":0.93112725,"about_ca_system_score_codex":0.00008158154,"about_ca_system_score_gemma":0.000035020046,"threshold_uncertainty_score":0.5940013},"labels":[],"label_agreement":null},{"id":"W586912333","doi":"10.1016/j.procir.2015.03.051","title":"A Solid Modeler Based Engagement Model for 5-axis Ball End Milling","year":2015,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","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":"University of British Columbia; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"End milling; Ball (mathematics); Machining; Mechanical engineering; Process (computing); Solid surface; End mill; Engineering drawing; Engineering; Materials science; Computer science; Geometry; Mathematics; Physics","score_opus":0.05580163019437431,"score_gpt":0.2979919684833002,"score_spread":0.24219033828892586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W586912333","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019881448,0.0004467305,0.99522686,0.00005862354,0.00016256084,0.00030020176,0.000020440048,0.00036857327,0.001427887],"genre_scores_gemma":[0.7911372,0.00004976412,0.20817292,0.00012386976,0.00009670211,0.00020204575,0.000049027927,0.00005589578,0.0001125855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999209,0.000003964526,0.00017885905,0.0001950915,0.00014441136,0.00026871325],"domain_scores_gemma":[0.99955946,0.000035292094,0.000032582575,0.00012571109,0.00013137065,0.00011556057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017138869,0.000155023,0.0001407591,0.000061614475,0.00006416911,0.000031900225,0.00011332768,0.00006380305,0.0000072565826],"category_scores_gemma":[0.00011048919,0.00016078269,0.000040051746,0.00008911518,0.000010325534,0.00018667936,0.000017536006,0.00011009247,0.0000060414186],"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":[0.000016450587,0.000015458787,0.000016011596,0.00017707053,0.000010021206,2.7993323e-7,0.001025277,0.9955265,0.00018800865,0.00023397258,0.00054098706,0.0022499526],"study_design_scores_gemma":[0.00061268575,0.000034341887,0.00000132314,0.000022853965,0.000019882149,4.8448186e-7,0.000038947044,0.99304426,0.0018120154,0.002778055,0.0014325529,0.00020258938],"about_ca_topic_score_codex":0.0000012044985,"about_ca_topic_score_gemma":0.0000046909936,"teacher_disagreement_score":0.78914905,"about_ca_system_score_codex":0.00006703307,"about_ca_system_score_gemma":0.000075411706,"threshold_uncertainty_score":0.65565276},"labels":[],"label_agreement":null},{"id":"W749350555","doi":"10.1016/j.procir.2015.06.015","title":"Modelling the Problem of Production Scheduling for Reconfigurable Manufacturing Systems","year":2015,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":39,"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 Windsor","funders":"","keywords":"Simulated annealing; Scheduling (production processes); Job shop scheduling; Computer science; Scalability; Flexible manufacturing system; Mathematical optimization; Metaheuristic; Industrial engineering; Engineering; Algorithm; Mathematics; Embedded system","score_opus":0.04145930493500528,"score_gpt":0.2198233768359382,"score_spread":0.17836407190093292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W749350555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81065816,0.009983043,0.12693183,0.00037963528,0.007015184,0.005421141,0.000029729646,0.0014763392,0.038104963],"genre_scores_gemma":[0.9953386,0.00007665338,0.0024652497,0.000004628821,0.0006731361,0.00037714664,0.000009416123,0.00006647577,0.0009886764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864,0.00002101401,0.0004839809,0.00026111954,0.0002202251,0.00037365025],"domain_scores_gemma":[0.9992648,0.00006815257,0.00013158425,0.00027893586,0.00016260945,0.00009395441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007414283,0.00021279036,0.00030713467,0.000113945294,0.0001085065,0.000079677244,0.00023836455,0.000116878466,0.000002699144],"category_scores_gemma":[0.000025501608,0.00015727818,0.000079787555,0.00010563211,0.000032885055,0.00023463088,0.00000950447,0.0001886542,0.000017301789],"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":[0.000015652295,0.000009711068,0.000013572845,0.0017653792,0.00005903051,2.7538405e-7,0.0007842985,0.9935445,0.0011221074,0.00024738026,0.0009824043,0.0014556813],"study_design_scores_gemma":[0.00037589547,0.000050680675,0.0000024004287,0.00040805092,0.0000437866,0.00003824789,0.0011083267,0.67554647,0.30087095,0.0013142441,0.019939747,0.00030118495],"about_ca_topic_score_codex":0.000113325535,"about_ca_topic_score_gemma":0.0000035800085,"teacher_disagreement_score":0.31799802,"about_ca_system_score_codex":0.00008625896,"about_ca_system_score_gemma":0.000060781244,"threshold_uncertainty_score":0.6413618},"labels":[],"label_agreement":null},{"id":"W753712126","doi":"10.1016/j.procir.2015.06.013","title":"Industrial Product Service System: A Case Study from the Agriculture Sector","year":2015,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Service and Product Innovation","field":"Business, Management and Accounting","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 Windsor","funders":"","keywords":"Product-service system; Product (mathematics); Agriculture; Tertiary sector of the economy; Service (business); Business; Process management; Engineering; Manufacturing engineering; Industrial organization; Marketing; Business model; Mathematics","score_opus":0.09748447461501095,"score_gpt":0.23826790402468226,"score_spread":0.1407834294096713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W753712126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98503697,0.00015977203,0.0000029228772,0.009440056,0.0017808571,0.001283891,0.000006574095,0.0002593293,0.0020296166],"genre_scores_gemma":[0.9739846,2.6231095e-7,0.000015657035,0.004983466,0.020721283,0.0001223574,0.000087080545,0.000023205757,0.00006210509],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987142,0.000024200363,0.00027689058,0.0004005651,0.00036776185,0.00021638925],"domain_scores_gemma":[0.9984247,0.00003302588,0.00023900018,0.00039018434,0.00089667004,0.000016417893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006914746,0.0001969424,0.00017706088,0.000064703694,0.00022474173,0.00041472007,0.0003351905,0.000074873504,0.000030442012],"category_scores_gemma":[0.0002774497,0.00012091692,0.000025435624,0.0015300632,0.000009390813,0.00087606703,0.00016127639,0.00024950196,0.00041304546],"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":[0.00044343967,0.0012124446,0.50791717,0.0011569828,0.00045697964,0.0010990523,0.022644281,0.00011591359,0.0011967409,0.002969885,0.45189077,0.0088963425],"study_design_scores_gemma":[0.011746812,0.00018278374,0.04021689,0.00046907365,0.0017422051,0.0009867466,0.44805104,0.0017351117,0.0007634865,0.0022149708,0.48945168,0.0024391953],"about_ca_topic_score_codex":0.018786669,"about_ca_topic_score_gemma":0.003453496,"teacher_disagreement_score":0.4677003,"about_ca_system_score_codex":0.000043429973,"about_ca_system_score_gemma":0.00007444713,"threshold_uncertainty_score":0.9877473},"labels":[],"label_agreement":null}]}