{"meta":{"query_hash":"33ae6788cedd","filters":{"venue":"48th U.S. Rock Mechanics/Geomechanics Symposium"},"cohort_total":26,"direct_labels_cover":0,"predictions_cover":26,"exported":26,"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/33ae6788cedd","api":"https://metacan.xera.ac/api/v1/cohort?venue=48th+U.S.+Rock+Mechanics%2FGeomechanics+Symposium"},"results":[{"id":"W2483535847","doi":"","title":"The Direct and Brazilian Tensile Strength of Rock In the Light of Size Effect and Bimodularity","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Ultimate tensile strength; Materials science; Composite material; Geology","score_opus":0.0036221309586878373,"score_gpt":0.18693457213522988,"score_spread":0.18331244117654205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2483535847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93779474,0.001095713,0.010525718,0.0002911877,0.000118682285,0.000010696329,0.0003287355,0.00007497285,0.049759585],"genre_scores_gemma":[0.9962041,0.00013552092,0.00068396464,0.000020881547,0.000015272502,0.0000050864155,0.000057757446,0.000014607158,0.0028627005],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996884,0.00003110799,0.000011588465,0.000107843094,0.000119274584,0.000041816802],"domain_scores_gemma":[0.9989317,0.00029429697,0.0001681156,0.00019252264,0.00027008884,0.00014329367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037884476,0.00027473952,0.00031671248,0.0012706359,0.00034877812,0.0008076232,0.00084484206,0.0003656348,0.008260973],"category_scores_gemma":[0.0022533918,0.00020617445,0.00018172002,0.00062479713,0.0015723852,0.0017561871,0.0010841546,0.00050460716,0.000702139],"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":[0.0008805981,0.00038793866,0.081230514,0.00055117905,0.000192436,0.0014200821,0.00073934364,0.05467779,0.31134096,0.35595694,0.0038757552,0.1887465],"study_design_scores_gemma":[0.000080390906,0.0009897134,0.4369537,0.0001472871,0.00019513998,0.0034001467,0.0020639813,0.18182254,0.14848278,0.20167488,0.02388147,0.00030795083],"about_ca_topic_score_codex":0.0014606328,"about_ca_topic_score_gemma":0.00344231,"teacher_disagreement_score":0.008260973,"about_ca_system_score_codex":0.00036938902,"about_ca_system_score_gemma":0.00035812156,"threshold_uncertainty_score":0.027635694},"labels":[],"label_agreement":null},{"id":"W2487551264","doi":"","title":"AE monitoring of Hydraulic Fracturing Experiments in Granite Blocks Using supercritical Co 2 , Water and Viscous Oil","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mira Geoscience (Canada); Geoscience BC","funders":"","keywords":"Hydraulic fracturing; Supercritical fluid; Petroleum engineering; Geology; Hydraulic fluid; Geotechnical engineering; Hydraulic machinery; Engineering; Chemistry; Mechanical engineering","score_opus":0.010574639502946208,"score_gpt":0.2347938512871201,"score_spread":0.2242192117841739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2487551264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989491,0.00001774273,0.0005617617,0.000008608304,0.0000027776748,0.000004917364,0.000056860234,0.0000302921,0.00036793866],"genre_scores_gemma":[0.9992957,0.000019399606,0.00038381456,0.0000030480553,0.0000010827002,0.000003324029,0.000033007305,0.0000042276915,0.00025630582],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99992454,0.0000082703455,0.000004344347,0.000012066424,0.00003329302,0.000017549142],"domain_scores_gemma":[0.9997813,0.000070484,0.00003008671,0.000016489223,0.00007795769,0.000023726328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012806265,0.00016768648,0.00018372184,0.00035452488,0.00021189911,0.0001808566,0.00022873032,0.00030317306,0.00066551263],"category_scores_gemma":[0.000317778,0.00010450302,0.000090229274,0.0002047916,0.00028085904,0.00028455755,0.00021301972,0.00028329802,0.0001034324],"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":[0.0007455097,0.000052360647,0.0048406334,0.000029597253,0.0000064659503,0.00007684832,0.00010481106,0.0013014735,0.988886,0.00007208837,0.000060195736,0.0038240687],"study_design_scores_gemma":[0.000029455705,0.00047707642,0.03218773,0.0000053448875,0.000012995853,0.00006363876,0.00013137706,0.021518417,0.9449805,0.000070916554,0.0005092308,0.0000133245085],"about_ca_topic_score_codex":0.0023941945,"about_ca_topic_score_gemma":0.003094529,"teacher_disagreement_score":0.0023941945,"about_ca_system_score_codex":0.00018023497,"about_ca_system_score_gemma":0.00014596443,"threshold_uncertainty_score":0.004760504},"labels":[],"label_agreement":null},{"id":"W2491528619","doi":"","title":"An Aleatory Model for In-Situ Stress Variability: Application to two Dimensional Stress","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stress (linguistics)","score_opus":0.011450906098116264,"score_gpt":0.26286325983428505,"score_spread":0.25141235373616877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2491528619","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048521586,0.00009453024,0.948143,0.00020062728,0.000050408627,0.000026661444,0.00025212608,0.00086306914,0.0018480212],"genre_scores_gemma":[0.8963502,0.00021612288,0.09839909,0.00009240177,0.000059066504,0.00014512044,0.00040952332,0.0003125448,0.004015965],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984956,0.000030482981,0.000013626672,0.00004930815,0.00004090433,0.000016099104],"domain_scores_gemma":[0.9994369,0.00025107825,0.000083645544,0.00009250395,0.000103489205,0.00003234926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006859148,0.0007263082,0.0006287052,0.00038786308,0.0004895201,0.0011281682,0.0017155707,0.001360128,0.0016180297],"category_scores_gemma":[0.0027169306,0.00042523022,0.0007107259,0.00058632094,0.0005703393,0.0011303341,0.0009456087,0.0011530371,0.00032555254],"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":[0.000035115663,0.000042000458,0.0013055236,0.000017620625,0.000021220383,0.000044277975,0.00004267619,0.9825749,0.0021026772,0.0028558148,0.00032503714,0.010633172],"study_design_scores_gemma":[0.0000027528183,0.0000044477183,0.00010330023,0.0000011375375,0.000002357365,0.0000050598533,0.0000016429102,0.99916005,0.00012230013,0.00049478014,0.00009950927,0.000002618082],"about_ca_topic_score_codex":0.010137883,"about_ca_topic_score_gemma":0.008854721,"teacher_disagreement_score":0.010137883,"about_ca_system_score_codex":0.0004622042,"about_ca_system_score_gemma":0.0011498531,"threshold_uncertainty_score":0.020157754},"labels":[],"label_agreement":null},{"id":"W2508637529","doi":"","title":"Gas Release Mechanisms from Energy Wellbores","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Energy (signal processing); Physics","score_opus":0.0045571409018592525,"score_gpt":0.1787397406023831,"score_spread":0.17418259970052385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2508637529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99420786,0.0002465021,0.0019847476,0.00011491028,0.000013252954,0.000013602322,0.00012176047,0.00006817838,0.0032292039],"genre_scores_gemma":[0.99872833,0.000055811062,0.00010569072,0.0000056570143,0.0000015272226,0.0000026413597,0.00003848861,0.000007488868,0.001054407],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988663,0.000006873144,0.0000055443106,0.000022675982,0.000021669126,0.00005655552],"domain_scores_gemma":[0.9998275,0.000055235145,0.00002666108,0.000017315937,0.000037645656,0.00003559545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019673542,0.000267629,0.0004223053,0.0005251482,0.00051442435,0.00081412337,0.0004220357,0.00059164857,0.0041606515],"category_scores_gemma":[0.00045460725,0.0002925974,0.00021703767,0.00021964656,0.00036514923,0.0010377795,0.0005378895,0.0002664329,0.00035644864],"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":[0.0058787954,0.0003734132,0.08774395,0.0004943255,0.00017893809,0.007482045,0.0016059343,0.16878444,0.65969247,0.024645625,0.0032957245,0.03982436],"study_design_scores_gemma":[0.00055253616,0.0017992234,0.2505583,0.000111535184,0.00021748057,0.0010718411,0.0049462183,0.45973143,0.26342222,0.008625654,0.008710936,0.0002526589],"about_ca_topic_score_codex":0.004084963,"about_ca_topic_score_gemma":0.004899492,"teacher_disagreement_score":0.0041606515,"about_ca_system_score_codex":0.0005716768,"about_ca_system_score_gemma":0.0002293339,"threshold_uncertainty_score":0.013918757},"labels":[],"label_agreement":null},{"id":"W2517301156","doi":"","title":"Characterizing Uniaxial Compressive Strength Using Bayesian Updating","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Compressive strength; Bayesian probability; Computer science; Artificial intelligence; Geology; Materials science; Composite material","score_opus":0.010084619849713533,"score_gpt":0.20997843493093524,"score_spread":0.1998938150812217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517301156","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13457218,0.0006414467,0.8577038,0.0005796115,0.00003951241,0.00006141188,0.0005488413,0.00045631538,0.0053968914],"genre_scores_gemma":[0.9291559,0.00041072658,0.06653011,0.00014677597,0.00007334205,0.00008007241,0.0008044321,0.00009267009,0.002705927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993156,0.00019544255,0.00003485717,0.00017673323,0.00021250585,0.000064838874],"domain_scores_gemma":[0.9958402,0.002677421,0.0004456852,0.00032643275,0.0006005455,0.000109736044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018276238,0.0007312343,0.00084825495,0.0011940177,0.00034784453,0.0013816686,0.0013709815,0.0011455439,0.0013915409],"category_scores_gemma":[0.011520838,0.0007426518,0.00047757194,0.0009386655,0.000721972,0.0019533508,0.0010556289,0.0012034224,0.00039962796],"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":[0.00015398889,0.000098192824,0.013059182,0.00009104592,0.00012542475,0.00007199537,0.00008088946,0.88025707,0.0050287526,0.016545264,0.0019617348,0.082526475],"study_design_scores_gemma":[0.0000059017116,0.0000081738835,0.0010464322,0.0000062485797,0.00000813857,0.0000137767265,0.00000473645,0.9911378,0.0006155696,0.006914434,0.00022973675,0.000009031406],"about_ca_topic_score_codex":0.010687933,"about_ca_topic_score_gemma":0.018612219,"teacher_disagreement_score":0.010687933,"about_ca_system_score_codex":0.0008594098,"about_ca_system_score_gemma":0.0009973187,"threshold_uncertainty_score":0.0212515},"labels":[],"label_agreement":null},{"id":"W2527985511","doi":"","title":"Modelling the Relation Between Failure Kinematics And Slope Damage in High Rock Slopes Using a Lattice Scheme Approach","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Geology; Kinematics; Relation (database); Geometry; Geotechnical engineering; Mathematics; Computer science; Physics","score_opus":0.01309696917578479,"score_gpt":0.19478020930916012,"score_spread":0.18168324013337533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527985511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5214983,0.00019114125,0.46914306,0.00028222444,0.00006185838,0.00005769652,0.0001763987,0.0003284326,0.008260868],"genre_scores_gemma":[0.9781001,0.00009313053,0.018708946,0.00001632332,0.000008322471,0.00003587333,0.000053752396,0.000039907613,0.002943685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997906,0.0000661135,0.000012379735,0.000027752589,0.00006474342,0.000038475206],"domain_scores_gemma":[0.999154,0.00042137053,0.00014483464,0.00006561446,0.00014268089,0.00007148125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052378216,0.00037809988,0.000500823,0.00048763352,0.00038904045,0.00080147694,0.0011322955,0.0011517253,0.0026986226],"category_scores_gemma":[0.0018959669,0.0005872309,0.00041535418,0.0005981683,0.0008078226,0.0009811098,0.0007140954,0.0008761625,0.00040867805],"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":[0.000011042584,0.000015106803,0.0007246914,0.0000057963307,0.0000032463126,0.000014736335,0.000012975187,0.9960846,0.00046212468,0.0016193731,0.000037008052,0.0010092898],"study_design_scores_gemma":[0.0000018772283,0.0000037195362,0.000087013716,7.442968e-7,6.293759e-7,0.000001839589,0.0000026928599,0.9994324,0.00004568426,0.00039520036,0.000026693508,0.0000015376119],"about_ca_topic_score_codex":0.023364328,"about_ca_topic_score_gemma":0.02056673,"teacher_disagreement_score":0.023364328,"about_ca_system_score_codex":0.000805101,"about_ca_system_score_gemma":0.001371997,"threshold_uncertainty_score":0.046456695},"labels":[],"label_agreement":null},{"id":"W2594345915","doi":"","title":"Block Size Distributions as a Rockmass Classification Tool","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Queen's University","funders":"","keywords":"Block (permutation group theory); Geology; Computer science; Mathematics; Geometry","score_opus":0.010090670419759628,"score_gpt":0.21434562114043992,"score_spread":0.20425495072068028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594345915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22239025,0.0005561903,0.74250406,0.00016530689,0.00006141805,0.00022374064,0.0075211516,0.016593639,0.009984296],"genre_scores_gemma":[0.7184192,0.00020638628,0.27048475,0.000043445933,0.000049729984,0.00018778912,0.0060425973,0.00072082,0.0038452498],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995511,0.000060708273,0.000046949353,0.000078336925,0.00022000955,0.000042847954],"domain_scores_gemma":[0.99616456,0.0019910126,0.0004625893,0.0002707326,0.0009673059,0.00014375977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007957098,0.00040805282,0.00046490986,0.0053239064,0.0003208233,0.0008284931,0.0005119284,0.00030728834,0.0052485443],"category_scores_gemma":[0.0052031223,0.00026332142,0.00032435515,0.0020230503,0.00018975559,0.0010858844,0.0004887622,0.0004107473,0.0023088283],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008111413,0.00019743713,0.077385545,0.00018702564,0.00011822769,0.00012598265,0.00016757725,0.04828118,0.036068305,0.0070730746,0.013570161,0.81601435],"study_design_scores_gemma":[0.000059976654,0.00016694442,0.0561347,0.000049459682,0.000066817425,0.00024889928,0.00014904099,0.88981354,0.029896846,0.008517719,0.014834156,0.000061912935],"about_ca_topic_score_codex":0.004054727,"about_ca_topic_score_gemma":0.006701051,"teacher_disagreement_score":0.0053239064,"about_ca_system_score_codex":0.0003383926,"about_ca_system_score_gemma":0.00045667557,"threshold_uncertainty_score":0.017558157},"labels":[],"label_agreement":null},{"id":"W2595517258","doi":"","title":"Application to Intact Rock of the Ottosen Peak Strength Criterion","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Geology; Geotechnical engineering; Mathematics; Mineralogy","score_opus":0.006733546696314557,"score_gpt":0.20455130512256348,"score_spread":0.1978177584262489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595517258","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4444862,0.0011872201,0.4621379,0.0005610781,0.000111824935,0.00008579927,0.00034114876,0.00038329765,0.09070554],"genre_scores_gemma":[0.9759128,0.0002486302,0.01790463,0.000015899068,0.000015183573,0.000011569277,0.000059257272,0.000051938394,0.005779991],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988794,0.000018172599,0.0000067170813,0.000019340498,0.000048380934,0.000019506098],"domain_scores_gemma":[0.99972564,0.00013837928,0.000020278794,0.000020997353,0.000077030476,0.000017715536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023787262,0.00022327625,0.00029025244,0.0007908025,0.00027750529,0.00060907303,0.00034568532,0.00026473813,0.0033423828],"category_scores_gemma":[0.0017410236,0.00008489147,0.0002132632,0.00047192257,0.00048274756,0.00035620644,0.00055253686,0.00029508257,0.00024091583],"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":[0.0001546695,0.00007907916,0.00992214,0.00016607418,0.000036335136,0.00059799285,0.00023002553,0.6011209,0.038546484,0.13440374,0.0028903538,0.21185231],"study_design_scores_gemma":[0.000010244566,0.000049810576,0.0041316245,0.000020091387,0.000013629979,0.00019367701,0.00018836341,0.93733037,0.009476866,0.042371117,0.0061919186,0.000022249405],"about_ca_topic_score_codex":0.01593327,"about_ca_topic_score_gemma":0.024855021,"teacher_disagreement_score":0.01593327,"about_ca_system_score_codex":0.000523071,"about_ca_system_score_gemma":0.0008365171,"threshold_uncertainty_score":0.03168106},"labels":[],"label_agreement":null},{"id":"W2597000168","doi":"","title":"Analysis of Thermal-Mechancial Coupling Models in Different Types of Host Rock for Nuclear Waste Repositories","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Radioactive waste; Host (biology); Coupling (piping); Waste disposal; Environmental science; Geology; Waste management; Engineering; Ecology; Biology; Mechanical engineering","score_opus":0.007064690676328942,"score_gpt":0.18667507302830294,"score_spread":0.179610382351974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597000168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87040967,0.0005702474,0.09740744,0.0005464222,0.000075747426,0.0001047445,0.00046130497,0.00056122104,0.029863194],"genre_scores_gemma":[0.9956409,0.00007401958,0.0016236121,0.000021571004,0.0000068513386,0.00003887453,0.00008383008,0.00006082568,0.00244952],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997552,0.000074599506,0.000011599036,0.000034815417,0.000056384706,0.00006746956],"domain_scores_gemma":[0.999215,0.0004784189,0.00008162886,0.00004396228,0.000132427,0.000048575475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006270395,0.00076111476,0.00082498515,0.0006734581,0.00056587567,0.0010004438,0.0013012697,0.0014681416,0.0028956076],"category_scores_gemma":[0.0017499835,0.0005962319,0.001077695,0.00040188234,0.0006072865,0.0008567366,0.0006919041,0.00078627444,0.0002960968],"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":[0.000032562406,0.000030168136,0.0007237585,0.00001970735,0.000012705178,0.000033408724,0.000018284432,0.9957021,0.0011631425,0.0011034425,0.00012758902,0.0010331208],"study_design_scores_gemma":[0.0000035781106,0.000007751145,0.0002181793,0.000001873492,0.0000034306454,0.0000026340495,0.0000075000526,0.9993685,0.00019819617,0.00013983944,0.000045962675,0.000002584258],"about_ca_topic_score_codex":0.028309988,"about_ca_topic_score_gemma":0.01923526,"teacher_disagreement_score":0.028309988,"about_ca_system_score_codex":0.001253874,"about_ca_system_score_gemma":0.0011838913,"threshold_uncertainty_score":0.056290448},"labels":[],"label_agreement":null},{"id":"W2597048014","doi":"","title":"Assessing Unpredictability in the Absence of Objective Data: An Example Using Underground Rock Wedge Instability","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Instability; Geology; Wedge (geometry); Mathematics; Geometry; Mechanics","score_opus":0.06937622381091343,"score_gpt":0.29028176481496415,"score_spread":0.22090554100405072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597048014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9511851,0.000272671,0.04362441,0.00048818713,0.000026884367,0.0000740708,0.0008422159,0.00022840731,0.003257984],"genre_scores_gemma":[0.98277086,0.00008792494,0.016599376,0.000021363845,0.000010489367,0.000018297409,0.00021689034,0.000027811806,0.00024701335],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99835616,0.0008414793,0.00013284951,0.00017673337,0.0004184601,0.00007437911],"domain_scores_gemma":[0.98025674,0.0163761,0.0009520332,0.0009799168,0.0011488883,0.00028632642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029667912,0.0005061038,0.00050451624,0.0018713074,0.0004735459,0.0012787075,0.00076619384,0.0010980901,0.0010385548],"category_scores_gemma":[0.019335467,0.00018604402,0.0004776159,0.0018346292,0.00053049764,0.0013558,0.0011879399,0.0009369245,0.00015765664],"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":[0.0013362167,0.0010628477,0.43188623,0.00042754755,0.00056738616,0.0032020488,0.0016452299,0.3641551,0.012496245,0.006730932,0.002577361,0.17391281],"study_design_scores_gemma":[0.00008932857,0.00056150043,0.10127417,0.00007225436,0.00011977241,0.00056431635,0.0010819617,0.87410545,0.0060451324,0.014416214,0.0015645204,0.00010538917],"about_ca_topic_score_codex":0.0095603615,"about_ca_topic_score_gemma":0.01789912,"teacher_disagreement_score":0.0095603615,"about_ca_system_score_codex":0.00053126353,"about_ca_system_score_gemma":0.000670057,"threshold_uncertainty_score":0.019009411},"labels":[],"label_agreement":null},{"id":"W2597524878","doi":"","title":"Component and System Deformation Properties of Complex Rockmasses with Healed Structure","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Component (thermodynamics); Deformation (meteorology); Mathematics; Computer science; Composite material; Materials science; Physics","score_opus":0.008092093398359939,"score_gpt":0.16505011469971412,"score_spread":0.15695802130135417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597524878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968971,0.000024923444,0.0021839752,0.000014898117,0.0000022009895,0.000005051697,0.00010210098,0.00003404082,0.0007356663],"genre_scores_gemma":[0.9994568,0.000008290983,0.00021331442,0.0000012112181,6.658305e-7,0.0000019960014,0.000080597005,0.0000062896434,0.00023084065],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992585,0.000010742301,0.0000065316294,0.00001923614,0.000024805377,0.000012827947],"domain_scores_gemma":[0.9995617,0.00014546725,0.0000726777,0.00008182104,0.000090284,0.000047937992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025194953,0.00016270227,0.00022065411,0.0007275452,0.00018339072,0.00044290503,0.00030320542,0.0002690876,0.0021989087],"category_scores_gemma":[0.0011972904,0.00017322425,0.00016355903,0.00044784957,0.00058061857,0.000489958,0.00025841632,0.00016710341,0.00021909646],"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":[0.0015658452,0.0002923062,0.12812968,0.00014534894,0.00016446978,0.0008336556,0.00065627333,0.6958407,0.11658342,0.0077803056,0.0013680389,0.04664001],"study_design_scores_gemma":[0.000022540862,0.00025487528,0.100197434,0.000007635121,0.000025478668,0.00018453324,0.00019848059,0.88743687,0.009992475,0.0012966276,0.00035609494,0.000026986987],"about_ca_topic_score_codex":0.0042133788,"about_ca_topic_score_gemma":0.0034365389,"teacher_disagreement_score":0.0042133788,"about_ca_system_score_codex":0.0002491368,"about_ca_system_score_gemma":0.0001755165,"threshold_uncertainty_score":0.008377731},"labels":[],"label_agreement":null},{"id":"W2598230947","doi":"","title":"Consideration of Lidar and Photogrammetric Data Analysis Resulting from Challenging Data Collection","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Photogrammetry; Data collection; Lidar; Remote sensing; Computer science; Geography; Mathematics; Statistics","score_opus":0.027752608324142114,"score_gpt":0.24713707629050702,"score_spread":0.2193844679663649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598230947","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27806047,0.0022080767,0.687466,0.00998799,0.0015665971,0.0005267208,0.0034225949,0.0021371064,0.014624395],"genre_scores_gemma":[0.5837947,0.0012020159,0.4042861,0.00178085,0.00084854296,0.00034875283,0.0037820549,0.00093533803,0.0030215895],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.98953617,0.0023118914,0.00048289506,0.0008471044,0.006338692,0.00048316983],"domain_scores_gemma":[0.950063,0.03200285,0.0019471652,0.003074353,0.012108444,0.0008040867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008264138,0.0010117814,0.0010563884,0.0030305062,0.0026568524,0.0042942287,0.0015592359,0.0014741373,0.0014068976],"category_scores_gemma":[0.049771372,0.00083812315,0.0007809008,0.004267436,0.0013736285,0.0027936406,0.0023792563,0.0019618417,0.0009950157],"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":[0.00044578573,0.00044544996,0.06963508,0.001627087,0.0005751109,0.0057313074,0.002167612,0.25666,0.069185205,0.021882989,0.03880605,0.53283834],"study_design_scores_gemma":[0.00005811876,0.00021842698,0.11822103,0.00028578102,0.00025036663,0.005562915,0.0055070263,0.73785836,0.030596334,0.04861825,0.052499373,0.00032401548],"about_ca_topic_score_codex":0.013058194,"about_ca_topic_score_gemma":0.034521986,"teacher_disagreement_score":0.013058194,"about_ca_system_score_codex":0.001535116,"about_ca_system_score_gemma":0.0035155537,"threshold_uncertainty_score":0.043705463},"labels":[],"label_agreement":null},{"id":"W2613521023","doi":"","title":"Elastic and Plastic Mechanical Properties of Liquids-Rich Unconventional Shales and Their Implications for Hydraulic Fracturing and Proppant Embedment: A Case Study of the Nordegg Member in Alberta, Canada","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hydraulic fracturing; Geology; Embedment; Petroleum engineering; Geotechnical engineering; Oil shale","score_opus":0.010944126156849799,"score_gpt":0.20273266475157747,"score_spread":0.19178853859472766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613521023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99833727,0.000024071374,0.00008872672,0.000021608103,5.14191e-7,0.000006256553,0.00008059476,0.000003094815,0.001437852],"genre_scores_gemma":[0.9989956,0.00003123993,0.00008759083,0.0000026799876,2.5204682e-7,0.0000015178423,0.000035743735,0.0000018456282,0.0008435434],"study_design_codex":"observational","study_design_gemma":"case_report","domain_scores_codex":[0.9998147,0.000011811309,0.0000051025777,0.000014648362,0.00009826218,0.000055511464],"domain_scores_gemma":[0.999806,0.000053482276,0.000022746251,0.000008510327,0.00007841641,0.000030810537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023523293,0.00028995232,0.00021291677,0.0012004697,0.001585017,0.0013044477,0.00072669354,0.0005688003,0.001507501],"category_scores_gemma":[0.00047296556,0.00023165725,0.00018257939,0.00150491,0.0013602646,0.00037303468,0.00045304492,0.00026991294,0.00015826545],"study_design_candidate":"case_report","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010857242,0.00069606723,0.7093498,0.00024324194,0.0001560506,0.016137524,0.01068295,0.1200118,0.06978809,0.005252646,0.0019056816,0.064690344],"study_design_scores_gemma":[0.000025305339,0.00014628666,0.91188896,0.000043253884,0.000047081954,0.00065638334,0.028195452,0.04534701,0.010207267,0.0007299954,0.002654483,0.00005853027],"about_ca_topic_score_codex":0.7424772,"about_ca_topic_score_gemma":0.93472934,"teacher_disagreement_score":0.25752282,"about_ca_system_score_codex":0.0055645606,"about_ca_system_score_gemma":0.0031474913,"threshold_uncertainty_score":0.5180788},"labels":[],"label_agreement":null},{"id":"W2614349876","doi":"","title":"Effects of Formation Anisotropy on Borehole Stress Concentrations: Implications to Drilling Induced Tensile Fractures","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Borehole; Drilling; Ultimate tensile strength; Anisotropy; Geology; Stress (linguistics); Geotechnical engineering; Materials science; Composite material; Metallurgy; Physics","score_opus":0.006235899126848229,"score_gpt":0.20713318332029534,"score_spread":0.20089728419344713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614349876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99539953,0.00008814007,0.002186157,0.00016699207,0.000008743861,0.0000073841084,0.000112139474,0.000058107657,0.0019727442],"genre_scores_gemma":[0.9997689,0.000019114577,0.0001297792,0.000004344491,8.034432e-7,8.9170504e-7,0.0000110968085,0.0000044245967,0.000060710037],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997181,0.00005159291,0.000022933002,0.000051858897,0.00008151511,0.00007405293],"domain_scores_gemma":[0.9984628,0.00053224195,0.00036227316,0.00018312891,0.00033724023,0.00012232778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036646097,0.00018365214,0.00020793147,0.00028340766,0.0004786619,0.0006899471,0.0002407122,0.00042971756,0.0016252153],"category_scores_gemma":[0.002645554,0.00024691084,0.00016029495,0.00028725338,0.00069430814,0.0006687313,0.0005298783,0.00046470627,0.00015912342],"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":[0.0024985273,0.0004891561,0.33448887,0.00013577205,0.00006855218,0.0010258198,0.00040507456,0.095655926,0.5250128,0.0037005034,0.0006722034,0.035846863],"study_design_scores_gemma":[0.00017092179,0.000672673,0.7226781,0.000030807747,0.000101765436,0.0006319296,0.0009318846,0.10556767,0.16523671,0.0027404178,0.001153945,0.00008306391],"about_ca_topic_score_codex":0.004693683,"about_ca_topic_score_gemma":0.0075639607,"teacher_disagreement_score":0.004693683,"about_ca_system_score_codex":0.000590205,"about_ca_system_score_gemma":0.000541954,"threshold_uncertainty_score":0.009332716},"labels":[],"label_agreement":null},{"id":"W2695082475","doi":"","title":"Influence of High Velocity Jet on Drilling Performance of PDC Bit under Pressurized Condition","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Bit (key); Drilling; Jet (fluid); Mechanical engineering; Engineering; Petroleum engineering; Computer science; Geology; Mechanics; Physics","score_opus":0.005581731099257505,"score_gpt":0.18402683120324984,"score_spread":0.17844510010399234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2695082475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99880016,0.00022650769,0.00030483198,0.000026183061,0.000020910642,0.0000029517698,0.00006104285,0.000023239001,0.0005341271],"genre_scores_gemma":[0.99915826,0.000105035215,0.00012668506,0.00000982958,0.0000029231899,0.000002305154,0.000060982144,0.000007935967,0.000525956],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997615,0.000019712825,0.000016962947,0.000037564918,0.000093875446,0.00007042092],"domain_scores_gemma":[0.99925905,0.0002694615,0.0000994475,0.000042127038,0.00025317282,0.00007670415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021908413,0.00022160416,0.0002978014,0.000236868,0.0003086045,0.0006088031,0.0002736935,0.000388198,0.002803584],"category_scores_gemma":[0.000985204,0.00015716495,0.00014649009,0.00023774541,0.0002915957,0.0005546575,0.00025751835,0.00034968267,0.00039057],"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":[0.004464035,0.00010782209,0.009143202,0.0003222942,0.000026412812,0.0006715401,0.00040669367,0.00479514,0.963353,0.00021538408,0.00061839627,0.015875967],"study_design_scores_gemma":[0.000069815535,0.002799772,0.045661613,0.000042705797,0.000065589564,0.0002363492,0.000926994,0.0173762,0.9309925,0.000106292944,0.0016608061,0.00006140048],"about_ca_topic_score_codex":0.0009973319,"about_ca_topic_score_gemma":0.00152796,"teacher_disagreement_score":0.002803584,"about_ca_system_score_codex":0.00012939655,"about_ca_system_score_gemma":0.00016621224,"threshold_uncertainty_score":0.00937897},"labels":[],"label_agreement":null},{"id":"W2724386575","doi":"","title":"Logistic Regression in Hard Rock Pillar Design","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; PricewaterhouseCoopers (Canada)","funders":"","keywords":"Logistic regression; Geology; Computer science; Mathematics; Statistics","score_opus":0.01618227803730468,"score_gpt":0.20860990903359267,"score_spread":0.19242763099628798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2724386575","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048789002,0.0018519983,0.94484216,0.0010378751,0.00009422091,0.00008195342,0.0002098756,0.00046689797,0.0026260933],"genre_scores_gemma":[0.78506523,0.0016554805,0.19686945,0.00026613782,0.00030077776,0.00036660986,0.0006969989,0.00036546783,0.014413945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99480116,0.0036836506,0.00016742572,0.0005435396,0.00057344756,0.00023072271],"domain_scores_gemma":[0.9786099,0.018344441,0.00079507806,0.00053420063,0.0014660301,0.00025033279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007385096,0.0011334702,0.0014609492,0.0013407412,0.00047347345,0.001412265,0.0017119005,0.0012797444,0.005743089],"category_scores_gemma":[0.028806482,0.0010559647,0.0010259716,0.0013937572,0.0008322004,0.0015584345,0.0019359511,0.0019666755,0.0014090234],"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":[0.00030336596,0.00008675538,0.0065442305,0.00016661063,0.00012982456,0.0000819705,0.000050959585,0.863717,0.00065163604,0.008920951,0.0020557288,0.117290944],"study_design_scores_gemma":[0.000014112058,0.000050635925,0.0006138157,0.000011165399,0.00001003072,0.000010608232,0.00001162417,0.99522686,0.00021775282,0.0032576537,0.00056653493,0.000009233086],"about_ca_topic_score_codex":0.005826309,"about_ca_topic_score_gemma":0.0054985886,"teacher_disagreement_score":0.007385096,"about_ca_system_score_codex":0.0007861213,"about_ca_system_score_gemma":0.0013407845,"threshold_uncertainty_score":0.03905654},"labels":[],"label_agreement":null},{"id":"W2724682714","doi":"","title":"Obtaining Reliable Estimates of Intact Tensile Strength","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Ultimate tensile strength; Computer science; Forensic engineering; Materials science; Composite material; Engineering","score_opus":0.008230939038290454,"score_gpt":0.20675284806641908,"score_spread":0.19852190902812863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2724682714","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0685735,0.0005839461,0.92283106,0.00008321711,0.00007433776,0.000023648463,0.0016818522,0.002276666,0.0038717843],"genre_scores_gemma":[0.6853082,0.0007283079,0.30440986,0.000065378525,0.0001667262,0.00011705052,0.005420967,0.000535709,0.003247751],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985166,0.00025284386,0.00009220432,0.00048516586,0.0005528098,0.00010035053],"domain_scores_gemma":[0.9913536,0.00263113,0.0011615175,0.0023175129,0.0023647323,0.00017150627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013803232,0.0015472687,0.000930258,0.0025686058,0.00045625327,0.0011994627,0.0019047871,0.001599261,0.0027804966],"category_scores_gemma":[0.013586617,0.00092174753,0.0005604455,0.0010778111,0.0006865188,0.0032703264,0.0018375271,0.0016655386,0.0039490773],"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":[0.0006460883,0.00019873731,0.046284456,0.0005710018,0.00041884612,0.00066013,0.0002751666,0.24487676,0.18049355,0.021453902,0.01086645,0.49325487],"study_design_scores_gemma":[0.000030003544,0.00018993141,0.023752308,0.00005963794,0.00007131514,0.0003097356,0.0000757848,0.87120885,0.0755921,0.022228038,0.0063470155,0.00013526269],"about_ca_topic_score_codex":0.0011448342,"about_ca_topic_score_gemma":0.0023807825,"teacher_disagreement_score":0.0027804966,"about_ca_system_score_codex":0.00032038224,"about_ca_system_score_gemma":0.00048129816,"threshold_uncertainty_score":0.009301662},"labels":[],"label_agreement":null},{"id":"W2734555105","doi":"","title":"A Numerical Analysis of Stress Path and Rock Mass Damage in Open Pit Rock Slopes","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Geomechanics and Mining Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Geology; Rock mass classification; Geotechnical engineering; Stress (linguistics); Mining engineering; Stress path; Rockfall; Open-pit mining; Petrology; Landslide","score_opus":0.00757198941328443,"score_gpt":0.20470453605475383,"score_spread":0.1971325466414694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734555105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793777,0.00013575438,0.013049883,0.0001888999,0.000026916883,0.000028201956,0.000121269826,0.000104037375,0.006967305],"genre_scores_gemma":[0.9958032,0.00004319649,0.0028185453,0.000011109647,0.000005698118,0.000010805149,0.000041043,0.00001364183,0.0012528559],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999051,0.000020002217,0.0000050248823,0.000012590385,0.000036204696,0.000020996697],"domain_scores_gemma":[0.9994355,0.00029142242,0.00007581884,0.00004202292,0.00010232962,0.000052971896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002897824,0.00021217264,0.000259494,0.0006313367,0.0003838688,0.00056636747,0.00066144177,0.00087563664,0.0023917195],"category_scores_gemma":[0.0018740455,0.00029971264,0.0003039768,0.00051912945,0.0006847865,0.000463243,0.00039084765,0.00039724493,0.00018932438],"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":[0.00008189479,0.00013236821,0.006009489,0.000030936808,0.000015574276,0.00014230999,0.00006999612,0.9805602,0.0029556546,0.0024521693,0.00044450437,0.0071049044],"study_design_scores_gemma":[0.000006693317,0.000023185185,0.0015873252,0.0000026283997,0.000002084916,0.000015948399,0.000022515078,0.99777955,0.00017330004,0.00028625556,0.000096575,0.0000038943226],"about_ca_topic_score_codex":0.015066973,"about_ca_topic_score_gemma":0.013183428,"teacher_disagreement_score":0.015066973,"about_ca_system_score_codex":0.00070761336,"about_ca_system_score_gemma":0.000667547,"threshold_uncertainty_score":0.029958546},"labels":[],"label_agreement":null},{"id":"W2734674048","doi":"","title":"Interaction of Multiple Fluid-Driven Fractures with Pre-Existing Discontinuities","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Classification of discontinuities; Geology; Computer science; Mathematics; Mathematical analysis","score_opus":0.007466947660777196,"score_gpt":0.20637008494186013,"score_spread":0.19890313728108294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734674048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776593,0.00014825998,0.016927576,0.00032935617,0.000097529,0.0000396783,0.000086945176,0.00014203262,0.004569318],"genre_scores_gemma":[0.99676895,0.00004866822,0.0016646093,0.000022159535,0.000013214797,0.000011517218,0.000029807765,0.000014347961,0.0014267736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971384,0.000026712867,0.000010065149,0.000055333723,0.00007814745,0.00011595886],"domain_scores_gemma":[0.99938357,0.00021522812,0.00007233605,0.00004325533,0.00006313476,0.00022252659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002527189,0.00039872,0.00076625444,0.0007402855,0.0010360567,0.0015149862,0.0010258186,0.0016349582,0.0033046375],"category_scores_gemma":[0.0012400262,0.00060174096,0.0005303402,0.0002882311,0.0011137245,0.0010280337,0.002219188,0.0012487515,0.00038963542],"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":[0.0011041156,0.0008548173,0.013796308,0.0001347334,0.0001935338,0.0046962136,0.00051839574,0.82785356,0.11776076,0.011148764,0.0016621761,0.020276695],"study_design_scores_gemma":[0.00010089361,0.00025529432,0.0049049356,0.000015314241,0.00003137403,0.00022451975,0.00032841426,0.9813447,0.009523608,0.0023727643,0.00084170955,0.000056518893],"about_ca_topic_score_codex":0.0031244357,"about_ca_topic_score_gemma":0.0034418635,"teacher_disagreement_score":0.0033046375,"about_ca_system_score_codex":0.00084069505,"about_ca_system_score_gemma":0.0009489955,"threshold_uncertainty_score":0.011055112},"labels":[],"label_agreement":null},{"id":"W2735771083","doi":"","title":"Modeling of Stress-Induced Permeability Change With Progressive Damage in Intact Rock Using a Micro-Mechanical Approach","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Permeability (electromagnetism); Stress (linguistics); Geology; Geotechnical engineering; Chemistry","score_opus":0.027395427335429236,"score_gpt":0.23479171411645902,"score_spread":0.20739628678102978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735771083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7457419,0.00073023344,0.22437434,0.0008378593,0.00010269657,0.0001295226,0.0004277704,0.0007279066,0.026927752],"genre_scores_gemma":[0.9909106,0.00017071732,0.0051985867,0.00002586754,0.00000924957,0.00003477985,0.000041554395,0.000035802797,0.0035728358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999057,0.000014589463,0.0000057397597,0.000017847755,0.000033755226,0.000022335433],"domain_scores_gemma":[0.9997918,0.00007232544,0.00004601469,0.000022152542,0.000040444535,0.000027334398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017017768,0.0003383613,0.00038738563,0.00039053592,0.0003359972,0.0005956761,0.0009498781,0.0012935133,0.0015324156],"category_scores_gemma":[0.0007643448,0.00038997282,0.00043784353,0.00029184992,0.00064243475,0.0006675724,0.00039625436,0.00045347502,0.00024238901],"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":[0.00001934618,0.000026470596,0.0005255889,0.000014930534,0.0000060267885,0.00009253642,0.000021560048,0.99114215,0.005205579,0.0011603315,0.00009013733,0.0016953303],"study_design_scores_gemma":[0.0000019898866,0.000006506715,0.00023323577,9.791422e-7,0.0000014696421,0.000010708135,0.000005286896,0.9991239,0.00036638588,0.00018359373,0.00006362904,0.0000023002876],"about_ca_topic_score_codex":0.014211954,"about_ca_topic_score_gemma":0.009705748,"teacher_disagreement_score":0.014211954,"about_ca_system_score_codex":0.00067920756,"about_ca_system_score_gemma":0.00080803316,"threshold_uncertainty_score":0.028258443},"labels":[],"label_agreement":null},{"id":"W2741204933","doi":"","title":"The Stress Ratio Effect on Hydraulic Fracturing in the Presence of Natural Fractures","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hydraulic fracturing; Natural (archaeology); Stress (linguistics); Geology; Geotechnical engineering; Petroleum engineering","score_opus":0.003911473975156858,"score_gpt":0.20812895251094385,"score_spread":0.20421747853578698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741204933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974005,0.00017852863,0.0010390717,0.000040036215,0.000012256545,0.000003351625,0.000058707996,0.000038336475,0.0012291363],"genre_scores_gemma":[0.9997756,0.00002796738,0.00010105923,0.0000033382908,0.0000030089911,6.230652e-7,0.000013512925,0.0000052441915,0.00006972465],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996618,0.00009049096,0.00003154094,0.000050587292,0.00008947229,0.00007601515],"domain_scores_gemma":[0.99609536,0.0028499211,0.00037303002,0.00014173835,0.0003601827,0.0001798542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006378107,0.00024953665,0.00029831118,0.00056997716,0.00019327526,0.0004997858,0.00036950083,0.00043096975,0.0028265775],"category_scores_gemma":[0.005090087,0.00016779668,0.00024816903,0.00022119778,0.0005135863,0.0007332524,0.00032112628,0.00026187778,0.0004151355],"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":[0.009964666,0.000806364,0.16073811,0.00060364994,0.00024863344,0.0044988412,0.0004926751,0.22260731,0.51265866,0.0038269646,0.0010176408,0.08253649],"study_design_scores_gemma":[0.00021158255,0.0039245174,0.2546904,0.000091155045,0.00043048104,0.0028902427,0.0010858797,0.4458876,0.28691056,0.0026745903,0.0010026677,0.00020044789],"about_ca_topic_score_codex":0.0011495529,"about_ca_topic_score_gemma":0.0013776447,"teacher_disagreement_score":0.0028265775,"about_ca_system_score_codex":0.00018980553,"about_ca_system_score_gemma":0.00018592308,"threshold_uncertainty_score":0.0094558},"labels":[],"label_agreement":null},{"id":"W2793470414","doi":"","title":"Robustness of Interference Fractures that Promote Simultaneous Growth of Multiple Hydraulic Fractures","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Robustness (evolution); Interference (communication); Computer science; Geology; Telecommunications; Chemistry","score_opus":0.007479136793450458,"score_gpt":0.20969448064192844,"score_spread":0.20221534384847797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793470414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752587,0.00033708694,0.017702127,0.00018710387,0.000083180916,0.000024582205,0.0001893085,0.0004494364,0.005768498],"genre_scores_gemma":[0.9982822,0.00006882547,0.001102375,0.00002949689,0.00000662755,0.00001388428,0.000070678565,0.000035023448,0.00039095953],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996319,0.000030483612,0.000022220549,0.00008564306,0.000109429,0.00012036295],"domain_scores_gemma":[0.99880004,0.00031506823,0.00025688155,0.00021776218,0.0001407752,0.00026960034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003933117,0.00036881707,0.00048438433,0.00043536944,0.00044940197,0.0010676393,0.0005893439,0.00065734406,0.0034784689],"category_scores_gemma":[0.002344776,0.0004374741,0.00038005857,0.00016091026,0.0005732573,0.00066791446,0.0011202359,0.0007170567,0.00057143735],"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":[0.0006358055,0.00020847826,0.0026927504,0.00012770311,0.00006030157,0.00028234936,0.00005664889,0.057447415,0.9164463,0.006478435,0.00098888,0.014574887],"study_design_scores_gemma":[0.00017302974,0.00091474433,0.011020078,0.0000367457,0.000097998985,0.0003789838,0.00023241987,0.33983725,0.6361938,0.0067387167,0.00427852,0.00009768343],"about_ca_topic_score_codex":0.00086352474,"about_ca_topic_score_gemma":0.0016944968,"teacher_disagreement_score":0.0034784689,"about_ca_system_score_codex":0.0005204327,"about_ca_system_score_gemma":0.0005123092,"threshold_uncertainty_score":0.011636615},"labels":[],"label_agreement":null},{"id":"W2914611874","doi":"","title":"Semi-Analytical Model of an Umbrella Arch Employed in Hydrostatic Tunnelling Conditions","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Civil and Geotechnical Engineering Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"","keywords":"Quantum tunnelling; Arch; Geology; Engineering; Physics; Structural engineering; Condensed matter physics","score_opus":0.017995183059844752,"score_gpt":0.24974802421777292,"score_spread":0.23175284115792816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914611874","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22030246,0.0008708203,0.57519555,0.0010436976,0.0004199582,0.00025177997,0.003816366,0.0024402551,0.19565901],"genre_scores_gemma":[0.93576247,0.00047197554,0.015483202,0.00010216749,0.00004582492,0.00022797161,0.000592858,0.00013976633,0.04717386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985933,0.000028625387,0.000007782815,0.000031620846,0.000048114976,0.000024510571],"domain_scores_gemma":[0.99980193,0.000053089447,0.000032302705,0.00001995987,0.00007199042,0.00002078309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018551703,0.0005300162,0.0007040389,0.0005893091,0.0008287154,0.0013042346,0.002025425,0.0023211287,0.008586289],"category_scores_gemma":[0.0004831133,0.0005285471,0.0005538725,0.0005515279,0.0007832544,0.00073146436,0.00065703347,0.0006258129,0.0016289458],"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":[0.000045937963,0.000030355208,0.0004001429,0.00005917968,0.000010468952,0.00019125218,0.000066491004,0.9842784,0.00420739,0.0067476416,0.0007371604,0.0032256562],"study_design_scores_gemma":[0.000008053503,0.000015803822,0.00019612817,0.000007939654,0.0000051125116,0.000033761313,0.000024927956,0.99797565,0.00029078202,0.0006271133,0.0008061925,0.000008450968],"about_ca_topic_score_codex":0.016973332,"about_ca_topic_score_gemma":0.010473117,"teacher_disagreement_score":0.016973332,"about_ca_system_score_codex":0.0008049717,"about_ca_system_score_gemma":0.0013837321,"threshold_uncertainty_score":0.033749044},"labels":[],"label_agreement":null},{"id":"W2977897954","doi":"","title":"Fracture Development and Mechanism in Shale Cores by Viscous Oil, Water and L- Co 2 Injection","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mira Geoscience (Canada); Geoscience BC","funders":"","keywords":"Oil shale; Petroleum engineering; Fracture (geology); Geology; Mechanism (biology); Tight oil; Water injection (oil production); Geotechnical engineering; Paleontology; Philosophy; Epistemology","score_opus":0.005531812652420938,"score_gpt":0.19386434577584852,"score_spread":0.18833253312342757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977897954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99948967,0.00002556928,0.00017603373,0.000006266446,0.0000013392936,0.0000028842876,0.000030738316,0.0000097770735,0.00025781462],"genre_scores_gemma":[0.99945444,0.000014698641,0.00011576062,0.000003014891,4.5902843e-7,0.0000023789055,0.000027499991,0.0000023222608,0.00037948557],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999343,0.000006606473,0.0000033720173,0.000010412291,0.000018651988,0.000026732063],"domain_scores_gemma":[0.9997583,0.00005765203,0.000051532337,0.000011940202,0.00006910238,0.000051441304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016124586,0.00012618667,0.00017351171,0.00045775663,0.0002449903,0.0003359791,0.00020338682,0.00030953388,0.0013576283],"category_scores_gemma":[0.00040017732,0.00023790392,0.00017715615,0.00017530155,0.00036282348,0.00015045531,0.00021370307,0.00023091829,0.0001348263],"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":[0.003072865,0.00024431298,0.057545662,0.000063184605,0.00003125217,0.00058899506,0.00032141493,0.013197348,0.91214955,0.00046785516,0.0002648676,0.012052699],"study_design_scores_gemma":[0.00011853403,0.0015684834,0.4466868,0.000032451106,0.000048348782,0.00030030622,0.00053057674,0.09534174,0.45403722,0.00030530192,0.00096928846,0.000061009338],"about_ca_topic_score_codex":0.009143471,"about_ca_topic_score_gemma":0.016379539,"teacher_disagreement_score":0.009143471,"about_ca_system_score_codex":0.00050046726,"about_ca_system_score_gemma":0.00040871272,"threshold_uncertainty_score":0.01818049},"labels":[],"label_agreement":null},{"id":"W3020952920","doi":"","title":"A Sequential Gaussian Simulation Approach To Modelling Rock Mass Heterogeneity","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Geology; Computer science","score_opus":0.026930023848146516,"score_gpt":0.25395334685258697,"score_spread":0.22702332300444045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020952920","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030034723,0.000109974964,0.9657617,0.00019422892,0.000045635792,0.000047961275,0.00013471229,0.0003220071,0.0033490418],"genre_scores_gemma":[0.8420988,0.00029025206,0.14864205,0.0001170373,0.00007314452,0.00021787369,0.00028674238,0.00021802001,0.008056132],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959403,0.00012265233,0.00002350426,0.00007889292,0.00012443693,0.00005655024],"domain_scores_gemma":[0.9987565,0.00069262204,0.00012697525,0.00009385382,0.00022712682,0.0001028531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009941288,0.00048818908,0.00084414193,0.00060305087,0.0005104452,0.00074681,0.0019925733,0.0011203955,0.0023065128],"category_scores_gemma":[0.0032683332,0.0006458453,0.0008100681,0.0009484428,0.0008371885,0.00094720063,0.0013474796,0.0009049126,0.00034912876],"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":[0.000024366676,0.000011526876,0.00029340896,0.000007224336,0.000009797055,0.000022070844,0.000017249124,0.98940164,0.00032409313,0.0071218465,0.0001611846,0.0026056643],"study_design_scores_gemma":[0.0000026476396,0.0000026221571,0.000020846084,3.6878942e-7,0.0000011462306,0.000001709456,0.0000010503338,0.99897987,0.000038274884,0.00086504593,0.00008508694,0.0000013215752],"about_ca_topic_score_codex":0.038463917,"about_ca_topic_score_gemma":0.02226761,"teacher_disagreement_score":0.038463917,"about_ca_system_score_codex":0.0010317488,"about_ca_system_score_gemma":0.001669723,"threshold_uncertainty_score":0.07648009},"labels":[],"label_agreement":null},{"id":"W623148563","doi":"","title":"The Effect of Proppant Size on Hydraulic Fracturing by a Slurry","year":2014,"lang":"en","type":"article","venue":"48th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hydraulic fracturing; Petroleum engineering; Slurry; Geology; Comminution; Geotechnical engineering; Environmental science; Materials science; Metallurgy; Environmental engineering","score_opus":0.0031297000476347655,"score_gpt":0.1887924143613972,"score_spread":0.18566271431376244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W623148563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99811965,0.0001731321,0.00035709006,0.000037101665,0.000020019983,0.000005109092,0.00004838624,0.000023117058,0.0012164443],"genre_scores_gemma":[0.9992079,0.00008151369,0.00017484638,0.000016113436,0.000005070085,0.0000027906765,0.000044533408,0.00001216387,0.00045496304],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987626,0.000022387876,0.00001013858,0.000019672698,0.00003555691,0.000036051053],"domain_scores_gemma":[0.9983557,0.0012020774,0.000110576184,0.000057348996,0.00017851275,0.000095831245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025971208,0.00018166442,0.00018300363,0.00023729746,0.00021805987,0.00042710998,0.00025937232,0.00029045477,0.004137181],"category_scores_gemma":[0.0018415028,0.00018213982,0.00018414696,0.0001432742,0.0002590903,0.00058053865,0.00027010395,0.0002683142,0.000421318],"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":[0.0059866305,0.0003630308,0.013887828,0.0002363626,0.000041581057,0.00071433274,0.00014371844,0.013429515,0.92575425,0.00033623163,0.00060453627,0.038502026],"study_design_scores_gemma":[0.00016289682,0.006474251,0.060929857,0.000029157254,0.0001031301,0.00034933208,0.00042043967,0.03077319,0.8985215,0.00026949303,0.0019133105,0.000053393753],"about_ca_topic_score_codex":0.0010342333,"about_ca_topic_score_gemma":0.0016257113,"teacher_disagreement_score":0.004137181,"about_ca_system_score_codex":0.00021094299,"about_ca_system_score_gemma":0.00019260286,"threshold_uncertainty_score":0.013840258},"labels":[],"label_agreement":null}]}