{"meta":{"query_hash":"b07afa29de4c","filters":{"venue":"Safety Science"},"cohort_total":139,"direct_labels_cover":0,"predictions_cover":139,"exported":139,"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/b07afa29de4c","api":"https://metacan.xera.ac/api/v1/cohort?venue=Safety+Science"},"results":[{"id":"W1429220551","doi":"10.1016/j.ssci.2015.07.029","title":"Danger zone: Men, masculinity and occupational health and safety in high risk occupations","year":2015,"lang":"en","type":"article","venue":"Safety Science","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":172,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Work & Health; Health Canada; Memorial University of Newfoundland; Concordia University; Canada Auto Workers; Laurentian University; University of Toronto; University of Waterloo","funders":"Institute of Gender and Health; Canadian Institutes of Health Research; U.S. Public Health Service","keywords":"Masculinity; Occupational safety and health; Context (archaeology); Poison control; Suicide prevention; Human factors and ergonomics; Injury prevention; Psychology; Sociology; Medicine; Gender studies; Environmental health; Geography","score_opus":0.041524654364229203,"score_gpt":0.394903094602842,"score_spread":0.3533784402386128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1429220551","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":[0.96127063,0.0008593486,0.0056881565,0.01754083,0.001079896,0.0017545935,0.00015826682,0.000114727736,0.011533547],"genre_scores_gemma":[0.9903506,0.001170121,0.004886498,0.003022658,0.0001652524,0.000047771264,0.000036793306,0.000011487273,0.0003088138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967074,0.00067226356,0.0006914734,0.0005186981,0.00053604145,0.0008741512],"domain_scores_gemma":[0.9974841,0.0006824278,0.000292682,0.00030661863,0.00022413647,0.0010100729],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007981538,0.00015100116,0.00028046514,0.00023725386,0.0025653583,0.000020254658,0.00018840462,0.00011454626,0.000052538053],"category_scores_gemma":[0.001366217,0.00013308125,0.000016373475,0.0009906513,0.00045505603,0.00046922272,0.00025881839,0.0006706624,0.00007579445],"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":[0.00031744412,0.000032011216,0.96894705,0.00007345976,0.0000020926211,0.0000012990245,0.008685856,0.00006997581,0.0000025301608,0.008888688,0.0019151159,0.011064452],"study_design_scores_gemma":[0.0016476602,0.000094129144,0.9776557,0.00013304646,0.000003608577,0.0000026938892,0.0034617663,0.0017152702,0.0000010523013,0.0028939398,0.01224648,0.00014462255],"about_ca_topic_score_codex":0.0060574077,"about_ca_topic_score_gemma":0.0022561725,"teacher_disagreement_score":0.02907997,"about_ca_system_score_codex":0.00048821757,"about_ca_system_score_gemma":0.0041790074,"threshold_uncertainty_score":0.99873316},"labels":[],"label_agreement":null},{"id":"W1964512993","doi":"10.1016/j.ssci.2011.09.012","title":"The role of built environment on pedestrian crash frequency","year":2011,"lang":"en","type":"article","venue":"Safety Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":295,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Pedestrian; Transport engineering; Crash; Poison control; Demographics; Geography; Census; Collision; Pedestrian crossing; Census tract; Statistics; Engineering; Computer science; Environmental health; Population; Demography; Computer security; Medicine; Mathematics","score_opus":0.00998997219020993,"score_gpt":0.18064815566444603,"score_spread":0.1706581834742361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964512993","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":[0.51983863,0.0009876397,0.0025551585,0.00017108329,0.00093109184,0.00032043937,0.000021398517,0.0002451645,0.4749294],"genre_scores_gemma":[0.99899197,0.00027025226,0.00063303916,0.000008067839,0.000021937863,0.0000031369616,3.0810673e-7,0.000006819573,0.00006444453],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99918216,0.000009300337,0.00016061196,0.00014171755,0.0002607789,0.00024545315],"domain_scores_gemma":[0.99952227,0.00003391338,0.000025786525,0.0003370271,0.000009875373,0.000071132934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000324741,0.000080751015,0.000069489965,0.00003293344,0.00022153716,0.000007517048,0.0004697658,0.000027150385,0.00007540879],"category_scores_gemma":[0.000017605622,0.00005371759,0.00003280582,0.00016773482,0.00041679788,0.00010105354,0.000038263523,0.00009189371,0.0001087652],"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":[0.00008830175,0.00024785934,0.045635868,0.00003923084,0.000054178516,0.000010017559,0.007553956,0.035392623,0.07066012,0.22057453,0.00022314554,0.6195202],"study_design_scores_gemma":[0.00027612929,0.00016022463,0.9273963,0.000028009636,0.000010254685,0.000004863069,0.0006081498,0.0055270973,0.035345286,0.009816319,0.020538688,0.00028866692],"about_ca_topic_score_codex":0.000037946644,"about_ca_topic_score_gemma":0.00001529749,"teacher_disagreement_score":0.8817604,"about_ca_system_score_codex":0.000051143656,"about_ca_system_score_gemma":0.000035537574,"threshold_uncertainty_score":0.21905397},"labels":[],"label_agreement":null},{"id":"W1966351099","doi":"10.1016/j.ssci.2013.03.004","title":"Improved prediction of mental workload versus HSE and ergonomics factors by an adaptive intelligent algorithm","year":2013,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Tehran","keywords":"Workload; Adaptive neuro fuzzy inference system; Artificial neural network; Computer science; Algorithm; Context (archaeology); Data mining; Mean absolute percentage error; Fuzzy logic; Machine learning; Artificial intelligence; Fuzzy control system","score_opus":0.0739077570025693,"score_gpt":0.4081488143527623,"score_spread":0.334241057350193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966351099","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":[0.9880767,0.0001800115,0.005513085,0.00045809487,0.0016060331,0.0019771568,0.00058546924,0.000042979347,0.0015605044],"genre_scores_gemma":[0.99697405,0.0003321677,0.0022658026,0.000063597894,0.00007215564,0.000052581083,0.000052337215,0.000008298131,0.00017902885],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9981328,0.00014647494,0.00043743788,0.00034776775,0.0003968929,0.0005385932],"domain_scores_gemma":[0.9983998,0.0004449614,0.00015062158,0.00021839714,0.00031895054,0.00046726273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009867871,0.00011036588,0.00015552143,0.000113563496,0.00092206936,0.000011595949,0.000251911,0.00009419653,0.0002625261],"category_scores_gemma":[0.00018228228,0.00009143127,0.000022616967,0.00038108986,0.0005313373,0.0006760584,0.00016488662,0.00033361057,0.000049031547],"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":[0.0057206172,0.0004201178,0.1047804,0.00014528229,0.00003845905,3.781442e-7,0.0127114905,0.0000332082,0.013448445,0.0017331683,0.0012420528,0.85972637],"study_design_scores_gemma":[0.0015887779,0.001773826,0.8500675,0.00009713355,0.0000067318324,4.2227148e-7,0.01177817,0.13155526,0.0012445775,0.00023343784,0.0014684263,0.00018574814],"about_ca_topic_score_codex":0.0022940708,"about_ca_topic_score_gemma":0.00009077038,"teacher_disagreement_score":0.85954064,"about_ca_system_score_codex":0.00038796946,"about_ca_system_score_gemma":0.00079909747,"threshold_uncertainty_score":0.7091905},"labels":[],"label_agreement":null},{"id":"W1968750665","doi":"10.1016/j.ssci.2005.09.001","title":"Transferability of accident prediction models","year":2005,"lang":"en","type":"article","venue":"Safety Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Negative binomial distribution; Accident (philosophy); Term (time); Constant (computer programming); Transferability; Poison control; Mathematical model; Computer science; Statistics; Operations research; Engineering; Econometrics; Simulation; Mathematics","score_opus":0.008210107266712653,"score_gpt":0.19742138149009497,"score_spread":0.18921127422338233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968750665","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":[0.7726652,0.00017283644,0.19729516,0.00024504864,0.0004360494,0.00017692064,0.000025516412,0.00034984518,0.028633399],"genre_scores_gemma":[0.99841595,0.000084162406,0.0014198624,0.000009804225,0.000041452062,0.000002241823,0.000001011014,0.000004695808,0.000020815085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920344,0.000006133651,0.00020684853,0.00014500068,0.000260555,0.00017799383],"domain_scores_gemma":[0.99967515,0.00001445262,0.00000954565,0.00019329268,0.00004129286,0.00006627961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003920663,0.000064174856,0.00008942195,0.000051174782,0.000078634,0.00000606987,0.00021218811,0.000030142328,0.00003898908],"category_scores_gemma":[0.000007752798,0.000056896464,0.000036273515,0.00032401842,0.00018930178,0.00049811124,0.000013604145,0.00007352991,0.000010689036],"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":[0.000007575448,0.000017072041,0.0011388711,0.000009338318,0.0000024705057,8.3716e-8,0.000620272,0.95201963,0.0029866642,0.002678304,0.000027024937,0.040492702],"study_design_scores_gemma":[0.0002102929,0.000022350156,0.25219458,0.000014507734,0.0000055533687,0.0000030276935,0.0000579655,0.7358147,0.00992499,0.0005919509,0.0010632584,0.0000968442],"about_ca_topic_score_codex":0.00000499219,"about_ca_topic_score_gemma":0.00001677891,"teacher_disagreement_score":0.2510557,"about_ca_system_score_codex":0.00009179568,"about_ca_system_score_gemma":0.000045340934,"threshold_uncertainty_score":0.23201704},"labels":[],"label_agreement":null},{"id":"W1976087993","doi":"10.1016/j.ssci.2007.01.012","title":"Injuries in U.S. mining operations – A preliminary risk analysis","year":2007,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université du Québec à Trois-Rivières","funders":"","keywords":"Occupational safety and health; Injury prevention; Poison control; Incidence (geometry); Suicide prevention; Environmental health; Human factors and ergonomics; Risk assessment; Medicine; Medical emergency; Forensic engineering; Engineering; Risk analysis (engineering); Computer security; Computer science; Pathology","score_opus":0.050727186874907154,"score_gpt":0.4835235981150253,"score_spread":0.43279641124011814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976087993","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":[0.96031636,0.00010636082,0.0078153545,0.0018483975,0.00033780784,0.0007446546,0.000053806452,0.00004584375,0.02873141],"genre_scores_gemma":[0.9942301,0.00007419206,0.004644082,0.0003589599,0.000094627605,0.00005090454,0.000018997247,0.00000568426,0.00052249024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969398,0.00029042648,0.00069013075,0.0003963032,0.00072884565,0.0009545319],"domain_scores_gemma":[0.9972224,0.0016388168,0.00009380792,0.0003586222,0.00036031232,0.00032600347],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.010943717,0.00009442069,0.00020549033,0.0011066875,0.00272848,0.000013687328,0.0003942341,0.00009083451,0.00038016928],"category_scores_gemma":[0.0024525535,0.000082360864,0.00005117098,0.006433384,0.00041952045,0.00043246042,0.00019908466,0.000564393,0.0001899243],"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":[0.00032813952,0.000038038484,0.97847533,0.000020790469,0.000007808302,0.0000032002765,0.0039503556,0.0013670237,0.000047838104,0.0038326678,0.000034487064,0.011894313],"study_design_scores_gemma":[0.00025881134,0.00008798881,0.98542815,0.000031335905,0.000014601732,2.5001313e-7,0.0023712679,0.010365704,0.000016060545,0.00018228676,0.0011571259,0.00008640521],"about_ca_topic_score_codex":0.0026454248,"about_ca_topic_score_gemma":0.01279393,"teacher_disagreement_score":0.033913698,"about_ca_system_score_codex":0.0003841049,"about_ca_system_score_gemma":0.0019316525,"threshold_uncertainty_score":0.99856985},"labels":[],"label_agreement":null},{"id":"W1979378578","doi":"10.1016/j.ssci.2009.04.005","title":"Human walks carefully when the ground dynamic coefficient of friction drops below 0.41","year":2009,"lang":"en","type":"article","venue":"Safety Science","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Coefficient of friction; Friction coefficient; Ground reaction force; Slip (aerodynamics); Mechanics; Dynamical friction; Limit (mathematics); Simulation; Mathematics; Structural engineering; Geotechnical engineering; Engineering; Materials science; Physics; Mathematical analysis; Classical mechanics; Kinematics; Thermodynamics; Composite material","score_opus":0.008922662876047077,"score_gpt":0.22809090127266013,"score_spread":0.21916823839661306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979378578","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":[0.95564836,0.00044197257,0.027704097,0.00067498215,0.0012619394,0.00034154378,0.00011167188,0.00035638103,0.013459043],"genre_scores_gemma":[0.9993982,0.000025223118,0.00040988953,0.000045027253,0.000016998545,0.0000021256437,0.0000054794837,0.000005183138,0.00009192218],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903667,0.000012573651,0.00018027143,0.00019501004,0.0003191837,0.0002563157],"domain_scores_gemma":[0.9994965,0.00002133899,0.00003954339,0.00033297882,0.000068959685,0.000040645253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048358113,0.00009927157,0.00010297709,0.00009283785,0.00032454758,0.000044043336,0.0004935338,0.000043122523,0.000046148823],"category_scores_gemma":[0.000027486869,0.0000712468,0.000042492473,0.0005205672,0.00019013428,0.00013680385,0.00005209621,0.00011678866,0.000010939587],"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":[0.0000109129205,0.0000982098,0.00010703084,0.000044005632,0.000014084799,0.000011315817,0.006140996,0.029662712,0.8308402,0.029080728,0.0008152025,0.10317462],"study_design_scores_gemma":[0.00080533634,0.0008489227,0.235174,0.00020124724,0.000058789552,0.00007507619,0.0024025552,0.67516375,0.025397534,0.04292516,0.015754716,0.0011929082],"about_ca_topic_score_codex":0.0000253642,"about_ca_topic_score_gemma":0.000034001478,"teacher_disagreement_score":0.80544263,"about_ca_system_score_codex":0.00012345171,"about_ca_system_score_gemma":0.000029909072,"threshold_uncertainty_score":0.29053602},"labels":[],"label_agreement":null},{"id":"W1983124333","doi":"10.1016/j.ssci.2007.04.008","title":"Characterization of protective gloves stiffness: Development of a multidirectional deformation test method","year":2007,"lang":"en","type":"article","venue":"Safety Science","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; École de Technologie Supérieure","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Stiffness; Structural engineering; Isotropy; Test (biology); Deformation (meteorology); Test method; Materials science; Characterization (materials science); Composite material; Engineering; Mathematics; Geology; Statistics; Physics","score_opus":0.013191345350155684,"score_gpt":0.3148327207500435,"score_spread":0.3016413753998878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983124333","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":[0.7418771,0.0000050829963,0.25323686,0.000022231236,0.00020032872,0.00023683278,0.000010484762,0.000010589909,0.0044004824],"genre_scores_gemma":[0.98515147,0.0000012485804,0.01476036,0.000012410998,0.000010743146,0.000011786629,0.00000953798,0.0000036450313,0.000038821516],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991334,0.00001930728,0.00033629063,0.00017188938,0.00018494755,0.00015414253],"domain_scores_gemma":[0.9993493,0.00007787776,0.00023472976,0.00010824162,0.00019400044,0.00003587568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013729659,0.00006219005,0.00009635795,0.00016865617,0.00011096946,0.00000421608,0.00013525486,0.000034347217,0.00004398363],"category_scores_gemma":[0.00014660218,0.00005681833,0.00002710973,0.000536957,0.00018134291,0.00020381037,0.00003362683,0.00004579178,0.000009876821],"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":[0.00008219143,0.00013022125,0.0018955874,0.00002074041,0.000008551811,6.3308946e-8,0.0054898504,0.000014005316,0.7563826,0.004972671,2.934237e-7,0.23100327],"study_design_scores_gemma":[0.00020868315,0.000032242846,0.91488105,0.000015772568,0.0000023532132,0.0000012539454,0.0006423611,0.00019188464,0.08361552,0.00015654712,0.00019140562,0.00006093966],"about_ca_topic_score_codex":0.000055845852,"about_ca_topic_score_gemma":0.000050556166,"teacher_disagreement_score":0.91298544,"about_ca_system_score_codex":0.00006846671,"about_ca_system_score_gemma":0.00015865953,"threshold_uncertainty_score":0.23169844},"labels":[],"label_agreement":null},{"id":"W1983219589","doi":"10.1016/j.ssci.2013.05.009","title":"Automated safety diagnosis of vehicle–bicycle interactions using computer vision analysis","year":2013,"lang":"en","type":"article","venue":"Safety Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":198,"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":"Intersection (aeronautics); Collision; Poison control; Transport engineering; Traffic conflict; Engineering; Occupational safety and health; Computer security; Computer science; Traffic congestion; Medical emergency; Floating car data; Medicine","score_opus":0.008195488753002592,"score_gpt":0.25512494334847374,"score_spread":0.24692945459547117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983219589","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":[0.9359038,0.00004462714,0.06086308,0.00012943443,0.0005538678,0.00017595188,0.000021872045,0.0006517391,0.0016556404],"genre_scores_gemma":[0.9908888,0.00003218427,0.008977277,0.000026805004,0.000038352176,0.0000053011877,0.0000058336714,0.000011857605,0.000013589851],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865127,0.000025838866,0.00040668363,0.0002698211,0.0003206502,0.00032571572],"domain_scores_gemma":[0.9992105,0.000107523665,0.00006472384,0.00034251163,0.00014050666,0.00013423934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002706806,0.0001407102,0.00025324264,0.0003825657,0.0002683772,0.0000478819,0.00034464092,0.000046150417,0.00034304784],"category_scores_gemma":[0.000017660555,0.00012443334,0.0001304767,0.0026332017,0.00027173857,0.0007482738,0.000106779225,0.00012672467,0.000097691365],"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":[0.000005977812,0.00004479084,0.017054284,0.000015607535,0.00008808121,0.0000010426139,0.00036254054,0.9522908,0.007509256,0.00009139378,0.00021300506,0.022323271],"study_design_scores_gemma":[0.00007488186,0.000011299874,0.42455116,0.000020071686,0.000038992308,0.0000016071909,0.000029574576,0.57430816,0.0006849525,0.000007888795,0.00018401426,0.000087404966],"about_ca_topic_score_codex":0.00026420876,"about_ca_topic_score_gemma":0.000038554434,"teacher_disagreement_score":0.40749687,"about_ca_system_score_codex":0.00015039147,"about_ca_system_score_gemma":0.000038412363,"threshold_uncertainty_score":0.5074245},"labels":[],"label_agreement":null},{"id":"W1983554550","doi":"10.1016/j.ssci.2012.06.004","title":"The negative effects of workplace injury and illness on workplace safety climate perceptions and health care worker outcomes","year":2012,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":112,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Health and Safety Executive; Pennsylvania State University; U.S. Department of Labor","keywords":"Occupational safety and health; Job satisfaction; Health care; Injury prevention; Perception; Human factors and ergonomics; Sick leave; Poison control; Nursing; Suicide prevention; Workplace violence; Turnover; Medicine; Psychology; Environmental health; Social psychology; Physical therapy","score_opus":0.030092901473401986,"score_gpt":0.4462635228731778,"score_spread":0.4161706213997758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983554550","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":[0.93795425,0.0041203215,0.00034407168,0.03599546,0.0030676513,0.0056509282,0.00024667493,0.00010989461,0.01251075],"genre_scores_gemma":[0.99470466,0.0028431902,0.00046416803,0.001292175,0.00012449983,0.00012727687,0.000007099545,0.000015982947,0.00042091782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959222,0.0008307449,0.0006135655,0.0003997007,0.0007933953,0.0014403649],"domain_scores_gemma":[0.9921335,0.0061393585,0.00027683325,0.0004527195,0.00030739923,0.0006902113],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005273377,0.00020504608,0.00036156323,0.00016147291,0.007558222,0.000022144255,0.00032372097,0.000118922,0.000039562725],"category_scores_gemma":[0.0010625069,0.00013074379,0.000043590386,0.00094746286,0.001237462,0.00039451377,0.00039695975,0.00077378924,0.000064904205],"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":[0.0009881662,0.00005203765,0.8626458,0.00056514284,0.000008731678,2.7887242e-7,0.019734465,0.000007006073,0.00001564276,0.016924191,0.0003322068,0.09872635],"study_design_scores_gemma":[0.0005960499,0.00021497905,0.9848735,0.00048685784,0.000005286533,8.020917e-7,0.010655857,0.000041672316,0.0000091892625,0.00013625863,0.002846267,0.00013328524],"about_ca_topic_score_codex":0.0002556294,"about_ca_topic_score_gemma":0.00026983276,"teacher_disagreement_score":0.12222771,"about_ca_system_score_codex":0.00048909767,"about_ca_system_score_gemma":0.0010863434,"threshold_uncertainty_score":0.9937338},"labels":[],"label_agreement":null},{"id":"W1989601615","doi":"10.1016/j.ssci.2009.03.005","title":"Drowsy drivers: The effect of light and circadian rhythm on crash occurrence","year":2009,"lang":"en","type":"article","venue":"Safety Science","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Public Health Ontario","funders":"Canadian Institutes of Health Research; Ministère des Transports","keywords":"Circadian rhythm; Alertness; Poison control; Rhythm; Crash; Logistic regression; Injury prevention; Medicine; Audiology; Psychology; Medical emergency; Internal medicine; Psychiatry; Computer science","score_opus":0.007704428985766489,"score_gpt":0.27907974802317387,"score_spread":0.27137531903740736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989601615","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":[0.9172809,0.0002994535,0.00009258149,0.003020472,0.00095916505,0.0003089824,0.0000092624505,0.00004179315,0.077987395],"genre_scores_gemma":[0.999516,0.000021136893,0.000019963052,0.00035764248,0.000037101472,0.0000031758955,7.7624065e-7,0.0000024946853,0.000041721636],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988031,0.000095757445,0.00015633626,0.0003569186,0.00026762128,0.0003203163],"domain_scores_gemma":[0.99910766,0.0002508548,0.00007762191,0.0004289446,0.000030464342,0.00010447888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078031386,0.00011536264,0.00013383046,0.00010500771,0.00029212804,0.00002446521,0.00040060902,0.00007103362,0.00012287292],"category_scores_gemma":[0.000108822824,0.00007362945,0.000039900857,0.00077186886,0.00051604334,0.00012068646,0.000031510936,0.00021973836,0.00015812846],"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":[0.00024590408,0.00010862656,0.07217083,0.000005502013,0.00004027725,0.00004801,0.0086340485,0.000057920683,0.0032767495,0.05325844,0.0040134783,0.85814023],"study_design_scores_gemma":[0.0017455843,0.002612744,0.98024625,0.00031321388,0.00005407702,0.00004427477,0.00030400764,0.00006315284,0.010019617,0.00055815384,0.0036484408,0.00039048315],"about_ca_topic_score_codex":0.000012830146,"about_ca_topic_score_gemma":0.0000029478936,"teacher_disagreement_score":0.9080754,"about_ca_system_score_codex":0.00002380704,"about_ca_system_score_gemma":0.000029493498,"threshold_uncertainty_score":0.3002522},"labels":[],"label_agreement":null},{"id":"W1989986165","doi":"10.1016/j.ssci.2011.07.011","title":"The effects of personal music devices on pedestrian behaviour","year":2011,"lang":"en","type":"article","venue":"Safety Science","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Killam Trusts","keywords":"Active listening; Pedestrian; Poison control; Psychology; Communication; Medicine; Transport engineering; Engineering; Medical emergency","score_opus":0.04034845904654366,"score_gpt":0.33690513624397256,"score_spread":0.2965566771974289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989986165","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":[0.7954279,0.00004190279,0.000108420674,0.00025621976,0.0031133173,0.00019658149,0.0000042802076,0.000050446335,0.20080093],"genre_scores_gemma":[0.99776727,0.0000033778178,0.000043063254,0.0002764204,0.00004583162,0.000012619374,5.981876e-7,0.00000466012,0.001846148],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998941,0.00008756796,0.00020863886,0.0002291018,0.0003087169,0.0002249884],"domain_scores_gemma":[0.9991218,0.00029929055,0.0001375744,0.00027437168,0.000091263086,0.000075706586],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00060278166,0.00008018223,0.00008358337,0.00009062796,0.0004914887,0.000021812864,0.00041693388,0.00003374277,0.0022037032],"category_scores_gemma":[0.00016312284,0.00005374214,0.0000570615,0.0003062729,0.00051823776,0.00014018569,0.000033751327,0.00012732102,0.0005326219],"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":[0.0012030266,0.0013112831,0.15108463,0.000094694195,0.00010169832,0.000053114076,0.17228451,0.0000028951927,0.0051385355,0.45573482,0.0073922346,0.20559856],"study_design_scores_gemma":[0.00028559522,0.00021298701,0.99196756,0.000026243113,0.0000075293997,0.000008887502,0.0017132072,0.000042567444,0.0009075999,0.00017503792,0.0045778155,0.00007494826],"about_ca_topic_score_codex":0.00015066353,"about_ca_topic_score_gemma":0.00009687837,"teacher_disagreement_score":0.84088296,"about_ca_system_score_codex":0.000035751622,"about_ca_system_score_gemma":0.000070528244,"threshold_uncertainty_score":0.9987084},"labels":[],"label_agreement":null},{"id":"W1993006100","doi":"10.1016/j.ssci.2012.04.008","title":"Analysis of the circumstances of accidents and impact of transformations on the accidents in a beverage delivery company","year":2012,"lang":"en","type":"article","venue":"Safety Science","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Seriousness; Accident (philosophy); Human factors and ergonomics; Risk analysis (engineering); Poison control; Occupational safety and health; Forensic engineering; Accident analysis; Injury prevention; Narrative; Engineering; Transport engineering; Operations management; Computer security; Applied psychology; Business; Psychology; Computer science; Environmental health; Medicine","score_opus":0.014001975215393165,"score_gpt":0.31009702501779435,"score_spread":0.2960950498024012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993006100","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":[0.9987121,0.000050009956,0.00010636157,0.0003368296,0.000031823613,0.0002882038,0.000010545204,0.0000013766459,0.0004627256],"genre_scores_gemma":[0.9998871,0.00002158575,0.000031781736,0.00004722526,0.00000324443,0.0000022332454,8.5516507e-7,0.0000011928773,0.000004750562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911755,0.00005910474,0.00025469682,0.00007323275,0.00038299657,0.0001124102],"domain_scores_gemma":[0.9993526,0.00020859909,0.000095935524,0.00020715671,0.00008622285,0.000049522852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001122601,0.000046108093,0.00016973146,0.0002596913,0.000056752626,0.0000028532875,0.00014463588,0.000015144433,0.000027063683],"category_scores_gemma":[0.00027613458,0.000022165998,0.00011831019,0.0020404211,0.00029783102,0.00018566057,0.000022825643,0.000050604707,5.463439e-7],"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":[0.000043454904,0.00008308521,0.96382326,0.0000356374,0.000045936948,1.2071436e-8,0.0056660026,0.0007815747,0.027797211,0.00023715766,0.0000031280056,0.0014835475],"study_design_scores_gemma":[0.00016453411,0.000069642665,0.99678516,0.00010195618,0.000048060854,1.683068e-7,0.0006907718,0.000910146,0.0011648269,0.000042028852,0.0000010444604,0.000021664397],"about_ca_topic_score_codex":0.00024156939,"about_ca_topic_score_gemma":0.000089720204,"teacher_disagreement_score":0.032961905,"about_ca_system_score_codex":0.000049543036,"about_ca_system_score_gemma":0.00006887128,"threshold_uncertainty_score":0.10973708},"labels":[],"label_agreement":null},{"id":"W1996926748","doi":"10.1016/j.ssci.2013.04.001","title":"Human reliability assessment during offshore emergency conditions","year":2013,"lang":"en","type":"article","venue":"Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":116,"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":"Human reliability; Reliability (semiconductor); Bayesian network; Human error; Computer science; Risk analysis (engineering); Bayesian probability; Poison control; Reliability engineering; Data mining; Operations research; Engineering; Machine learning; Artificial intelligence","score_opus":0.0432768929239296,"score_gpt":0.40759882842122597,"score_spread":0.36432193549729636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996926748","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":[0.93815905,0.000019993822,0.0019254632,0.005783739,0.0004800185,0.00028569633,0.000022889259,0.00006964044,0.053253535],"genre_scores_gemma":[0.99403644,0.000039740895,0.001232617,0.0000604712,0.000065511165,0.000029240175,0.0000041556864,0.000005921731,0.00452589],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99432164,0.0001916594,0.0010818572,0.0010281411,0.0028049399,0.0005717646],"domain_scores_gemma":[0.99647415,0.00018660071,0.00029655575,0.0015724171,0.001109199,0.00036109093],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0050972546,0.00017405201,0.00031244077,0.0004383958,0.0025284777,0.00029871493,0.0020830708,0.000057343146,0.015985457],"category_scores_gemma":[0.0015198098,0.00012652655,0.00023364936,0.0040514963,0.001055566,0.0019630508,0.00042381426,0.00023015504,0.001908233],"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":[0.000011360401,0.00045311108,0.81057775,0.000013971937,0.00003360555,0.000010054304,0.001623387,0.008606829,0.08963271,0.05792238,0.012265987,0.018848868],"study_design_scores_gemma":[0.00010520642,0.000022836117,0.8686476,0.0000041243993,0.00000796861,0.0000024381761,0.00077212445,0.0029084785,0.00031092804,0.12606053,0.0009982879,0.00015952386],"about_ca_topic_score_codex":0.00030971345,"about_ca_topic_score_gemma":0.00011247543,"teacher_disagreement_score":0.089321785,"about_ca_system_score_codex":0.00018958656,"about_ca_system_score_gemma":0.00023858584,"threshold_uncertainty_score":0.9988689},"labels":[],"label_agreement":null},{"id":"W1997247792","doi":"10.1016/j.ssci.2005.10.008","title":"HEPI: A new tool for human error probability calculation for offshore operation","year":2005,"lang":"en","type":"article","venue":"Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"Health and Safety Executive","keywords":"Human error; Human reliability; Reliability (semiconductor); Submarine pipeline; Computer science; Index (typography); Risk analysis (engineering); Engineering; Reliability engineering; Power (physics)","score_opus":0.13278312286559893,"score_gpt":0.42702680318348096,"score_spread":0.29424368031788206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997247792","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":[0.14485417,0.0000404593,0.8334189,0.01867539,0.00023801968,0.0015770368,0.00005223726,0.00005607966,0.0010876694],"genre_scores_gemma":[0.9342854,0.000003787478,0.06162579,0.000297825,0.0002978724,0.000056024444,0.000020222164,0.000006849248,0.0034062252],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99633074,0.00007166606,0.00087689934,0.00092535495,0.0013710769,0.00042423827],"domain_scores_gemma":[0.9974396,0.0005561807,0.00022992947,0.00076893345,0.00082277856,0.0001825561],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008257443,0.00014964517,0.00029056796,0.00024615947,0.0014572502,0.00036618643,0.0010402228,0.00007430647,0.00018302347],"category_scores_gemma":[0.00423877,0.000110668516,0.0002586437,0.0014600643,0.00036741234,0.0016004905,0.00009426891,0.00007015227,0.00007985292],"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":[0.0002615379,0.00013681738,0.008861847,0.000010070129,0.000013177439,1.7491142e-7,0.0020257074,0.06839739,0.010151064,0.089545675,0.005608394,0.81498814],"study_design_scores_gemma":[0.0011368467,0.00022294131,0.11550478,0.000012148705,0.000042123942,0.0000024056721,0.00022341228,0.4974314,0.0029839745,0.27545795,0.106576905,0.00040509785],"about_ca_topic_score_codex":0.00007205282,"about_ca_topic_score_gemma":0.0011253791,"teacher_disagreement_score":0.81458306,"about_ca_system_score_codex":0.00021187079,"about_ca_system_score_gemma":0.000542739,"threshold_uncertainty_score":0.9998427},"labels":[],"label_agreement":null},{"id":"W2005054933","doi":"10.1016/s0925-7535(02)00043-7","title":"Occupational health and safety management in small size enterprises: an overview of the situation and avenues for intervention and research","year":2002,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":290,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","funders":"","keywords":"Occupational safety and health; Small business; Business; Exploratory research; Intervention (counseling); Psychological intervention; Marketing; Human factors and ergonomics; Poison control; Environmental health; Medicine; Nursing; Sociology","score_opus":0.3190283696833646,"score_gpt":0.5518861586991507,"score_spread":0.23285778901578608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005054933","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":[0.97554857,0.00452057,0.0008114659,0.012280036,0.00028480505,0.0050127637,0.0001514574,0.000014867537,0.0013754682],"genre_scores_gemma":[0.99247146,0.0052947924,0.0014043909,0.0004137068,0.000036888883,0.00013511519,0.000010294138,0.0000058326427,0.0002275017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99745303,0.0007215499,0.0005144156,0.00034160417,0.0004907479,0.00047863752],"domain_scores_gemma":[0.99789125,0.0012710298,0.00014991601,0.00021260776,0.0002717343,0.00020346428],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008139256,0.00007344062,0.0001505551,0.00019744516,0.0014869977,0.000015710482,0.00020174697,0.000048087335,0.00004064894],"category_scores_gemma":[0.0009618352,0.000056973586,0.000019474366,0.0006369001,0.00048093134,0.0002684856,0.0003164682,0.0002645858,0.0000025852007],"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":[0.0011953372,0.00022586406,0.5658946,0.0033693674,0.000007306287,4.5944802e-7,0.012118813,0.000010635969,0.00005395805,0.054304253,0.0001397075,0.36267972],"study_design_scores_gemma":[0.0010324527,0.00021791055,0.9853528,0.00058919325,0.0000016249254,8.043031e-7,0.0015662735,0.004074263,0.0000023600503,0.005253681,0.0018598625,0.00004874495],"about_ca_topic_score_codex":0.00046294113,"about_ca_topic_score_gemma":0.0011054875,"teacher_disagreement_score":0.41945824,"about_ca_system_score_codex":0.00021234616,"about_ca_system_score_gemma":0.00030244922,"threshold_uncertainty_score":0.9998129},"labels":[],"label_agreement":null},{"id":"W2015363156","doi":"10.1016/j.ssci.2013.06.004","title":"Safety on Newfoundland’s fishing wharves","year":2013,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Fishing; Poison control; Occupational safety and health; Injury prevention; Suicide prevention; Human factors and ergonomics; Engineering; Forensic engineering; Transport engineering; Geography; Fishery; Medical emergency; Medicine; Biology","score_opus":0.0720645939618823,"score_gpt":0.4480039034327788,"score_spread":0.3759393094708965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015363156","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":[0.23168857,0.00007317967,0.0007592686,0.054478068,0.0027560566,0.0030186754,0.00006788295,0.00023760048,0.7069207],"genre_scores_gemma":[0.98767,0.00010995732,0.00068658777,0.0047329953,0.00046923308,0.00016101611,0.000021260323,0.000016307318,0.0061326325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959651,0.00033268632,0.00060635066,0.00053229847,0.0012433084,0.0013202179],"domain_scores_gemma":[0.99615556,0.0019061967,0.00014408317,0.000556869,0.00057260465,0.0006646893],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003325289,0.00015788201,0.0002176245,0.00024062325,0.0042693093,0.00006204928,0.0007577512,0.0001223474,0.0047939504],"category_scores_gemma":[0.0018214986,0.00012211112,0.00005102848,0.0011105055,0.00045791458,0.0011383062,0.0002568063,0.0008919019,0.0118238],"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":[0.0012137945,0.0002457682,0.48624724,0.00041425027,0.000016043196,0.000009010812,0.005637915,0.00027757938,0.0015426112,0.19464841,0.019816274,0.2899311],"study_design_scores_gemma":[0.00050002243,0.00011719084,0.92406666,0.00013352648,0.0000011943331,9.761249e-7,0.00045684466,0.0013253542,0.000008269976,0.0018546624,0.071395814,0.00013945818],"about_ca_topic_score_codex":0.0039127497,"about_ca_topic_score_gemma":0.00083157443,"teacher_disagreement_score":0.75598145,"about_ca_system_score_codex":0.0007309707,"about_ca_system_score_gemma":0.0019209721,"threshold_uncertainty_score":0.997027},"labels":[],"label_agreement":null},{"id":"W2016476871","doi":"10.1016/s0925-7535(00)00028-x","title":"POLSSS: policy making for sea shipping safety","year":2000,"lang":"en","type":"article","venue":"Safety Science","topic":"Maritime Navigation and Safety","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":"Ministry of Transportation of Ontario","funders":"","keywords":"Scope (computer science); Ministry of Transport; Christian ministry; Business; Transport engineering; Environmental planning; Risk management; Occupational safety and health; Poison control; Environmental resource management; Operations management; Risk analysis (engineering); Engineering; Environmental science; Computer science; Environmental health; Political science; Finance","score_opus":0.009961725425516252,"score_gpt":0.2711667929210731,"score_spread":0.26120506749555683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016476871","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":[0.019524433,0.0002550542,0.07184613,0.0045525976,0.0008761015,0.0010659461,0.00024770707,0.0014137586,0.90021825],"genre_scores_gemma":[0.9932058,0.000103277984,0.004715094,0.0006108976,0.00027029868,0.000014784199,0.000013204368,0.00002385993,0.0010427851],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998462,0.000014707373,0.00031151192,0.00029667825,0.00033114827,0.00058390957],"domain_scores_gemma":[0.99936765,0.000087078304,0.000023983299,0.00030484737,0.00006816938,0.0001482736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007512531,0.00015239128,0.00015533384,0.00016430899,0.000509636,0.00008330159,0.0004523862,0.000061564795,0.0007738864],"category_scores_gemma":[0.00012236468,0.00015819837,0.00007521997,0.0011485419,0.00021356417,0.00045137262,0.000034919412,0.00014029669,0.0001504486],"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":[0.0000939139,0.000023207398,0.0006621017,0.000098678815,0.00001581384,0.0000031223983,0.0010998548,0.06080734,0.0037447151,0.061144743,0.00058817095,0.87171835],"study_design_scores_gemma":[0.0010579777,0.000048337795,0.03769925,0.0001687844,0.000012162706,0.000033428907,0.00014729069,0.38691342,0.0019627225,0.005309141,0.5658949,0.00075261394],"about_ca_topic_score_codex":0.000031104493,"about_ca_topic_score_gemma":0.000013444864,"teacher_disagreement_score":0.9736814,"about_ca_system_score_codex":0.00028664054,"about_ca_system_score_gemma":0.00017655682,"threshold_uncertainty_score":0.8473513},"labels":[],"label_agreement":null},{"id":"W2019509828","doi":"10.1016/j.ssci.2013.01.022","title":"Quantitative risk analysis of offshore drilling operations: A Bayesian approach","year":2013,"lang":"en","type":"article","venue":"Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":397,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"","keywords":"Bayesian network; Bow tie; Fault tree analysis; Event tree; Accident analysis; Offshore drilling; Computer science; Bayesian probability; Conditional probability; Accident (philosophy); Tree (set theory); Data mining; Engineering; Reliability engineering; Drilling; Machine learning; Artificial intelligence; Statistics","score_opus":0.0596678224890763,"score_gpt":0.36558268451391907,"score_spread":0.30591486202484275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019509828","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":[0.28243402,0.0001850237,0.7032102,0.0008110394,0.00009962278,0.00026952513,0.00005925378,0.000026836104,0.012904525],"genre_scores_gemma":[0.93068683,0.00018994423,0.068701714,0.000051909883,0.000012728468,0.000014063792,0.000008653804,0.0000049056525,0.00032926694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.994484,0.00036655288,0.0011788966,0.0009455994,0.0026165913,0.000408361],"domain_scores_gemma":[0.99547416,0.0010524183,0.00041142362,0.0011911839,0.0016376061,0.00023322063],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007943556,0.0001741732,0.00066421455,0.0020586194,0.00095938816,0.00039062928,0.0019064463,0.00006276275,0.000912322],"category_scores_gemma":[0.0057222126,0.000117974414,0.00044204615,0.022312177,0.001356037,0.0016496646,0.00021364095,0.00017466441,0.00023032365],"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":[0.00003836187,0.0001631087,0.15268664,0.0000028253341,0.0004846422,8.749364e-7,0.0067647235,0.7241195,0.0020425934,0.043696765,0.00013486933,0.069865115],"study_design_scores_gemma":[0.000076339944,0.00003842798,0.20988917,0.000003285101,0.00023949395,4.6983178e-7,0.0058012176,0.7750428,0.00012835622,0.008559502,0.000088991714,0.00013195048],"about_ca_topic_score_codex":0.0016115796,"about_ca_topic_score_gemma":0.00061646954,"teacher_disagreement_score":0.6482528,"about_ca_system_score_codex":0.000061502826,"about_ca_system_score_gemma":0.0002656709,"threshold_uncertainty_score":0.99892867},"labels":[],"label_agreement":null},{"id":"W2022567254","doi":"10.1016/s0925-7535(02)00041-3","title":"Technological innovations, organizational change and workplace accident prevention","year":2002,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec en Outaouais","funders":"","keywords":"Occupational safety and health; Work (physics); Human factors and ergonomics; Poison control; Work Intensity; Suicide prevention; Injury prevention; Organizational change; Industrial and organizational psychology; Engineering; Occupational accident; Operations management; Business; Public relations; Environmental health; Psychology; Medicine; Political science; Social psychology","score_opus":0.1716185338388293,"score_gpt":0.4557035683431273,"score_spread":0.284085034504298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022567254","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":[0.6908896,0.0020066237,0.018266039,0.19069396,0.0020980085,0.008467269,0.00007638778,0.0008763093,0.08662578],"genre_scores_gemma":[0.99489343,0.00039454488,0.0015822581,0.0009545287,0.00015878546,0.00015292042,0.00001556382,0.0000066680386,0.0018412808],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980638,0.00013923875,0.0003573495,0.0003249056,0.0006238394,0.0004908924],"domain_scores_gemma":[0.9986648,0.00038757088,0.00010530528,0.00020349075,0.00047524553,0.00016361472],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020097555,0.00008093851,0.00010431027,0.00026054215,0.0021321217,0.000015234084,0.0002651047,0.00011898471,0.0021355168],"category_scores_gemma":[0.0017024513,0.00006809353,0.000011074339,0.0025993513,0.0005980072,0.0004482501,0.00025497205,0.0004144131,0.0005949028],"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":[0.000039203478,0.00007885746,0.69186527,0.000047872618,0.0000021162414,0.0000015036575,0.00058623654,0.0000016477376,0.00015286038,0.22967954,0.0008234125,0.0767215],"study_design_scores_gemma":[0.00035994753,0.00006144329,0.97677356,0.00007447659,0.0000016125289,0.000004001457,0.00028872982,0.0013723884,0.000013797079,0.005225337,0.015729243,0.000095459865],"about_ca_topic_score_codex":0.000019855876,"about_ca_topic_score_gemma":0.000026352707,"teacher_disagreement_score":0.30400383,"about_ca_system_score_codex":0.00022014994,"about_ca_system_score_gemma":0.00029105545,"threshold_uncertainty_score":0.99916697},"labels":[],"label_agreement":null},{"id":"W2022992923","doi":"10.1016/s0925-7535(02)00042-5","title":"Telework and occupational health: a Quebec empirical study and regulatory implications","year":2002,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":218,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Université Laval","funders":"","keywords":"Occupational safety and health; Legislation; Human factors and ergonomics; Workers' compensation; Compensation (psychology); Poison control; Suicide prevention; Perspective (graphical); Injury prevention; Empirical research; Work (physics); Occupational medicine; Empirical evidence; Environmental health; Engineering; Applied psychology; Public relations; Business; Psychology; Political science; Medicine; Social psychology; Computer science; Law","score_opus":0.1790997505517076,"score_gpt":0.5221949190684777,"score_spread":0.34309516851677013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022992923","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":[0.93866223,0.00070577866,0.00031152816,0.052494835,0.00027690278,0.0024054004,0.00006429972,0.0000867071,0.004992299],"genre_scores_gemma":[0.9953791,0.00014885415,0.0006112475,0.0026036985,0.0001455373,0.0001596227,0.0000066093753,0.000008836522,0.000936532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969896,0.0004029181,0.0005587416,0.00055442424,0.00068318826,0.0008110964],"domain_scores_gemma":[0.9973799,0.0010923508,0.00013961302,0.00039702796,0.0003037547,0.00068734394],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003114209,0.000120407865,0.00020811097,0.00021952282,0.0047972486,0.00002388014,0.0002400066,0.00007525012,0.00033462458],"category_scores_gemma":[0.00066903315,0.000103461956,0.000017395261,0.0010399097,0.0007066108,0.00032547704,0.00027458966,0.0004769147,0.00014065379],"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":[0.00005974887,0.00012159185,0.9452438,0.000045929137,0.0000025563313,5.105833e-7,0.003135486,0.000001467354,0.000008427475,0.005049792,0.0019945258,0.044336192],"study_design_scores_gemma":[0.0005187063,0.00016461629,0.98761237,0.000033978456,0.0000019147974,0.0000037786876,0.00101583,0.00067375955,1.951968e-7,0.00058032246,0.00930074,0.00009377613],"about_ca_topic_score_codex":0.0021736722,"about_ca_topic_score_gemma":0.0038172682,"teacher_disagreement_score":0.056716815,"about_ca_system_score_codex":0.00037272522,"about_ca_system_score_gemma":0.0018229828,"threshold_uncertainty_score":0.99649835},"labels":[],"label_agreement":null},{"id":"W2024341817","doi":"10.1016/j.ssci.2013.01.001","title":"Establishment of spatiotemporal dynamic model for water inrush spreading processes in underground mining operations","year":2013,"lang":"en","type":"article","venue":"Safety Science","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; Program for New Century Excellent Talents in University; National Natural Science Foundation of China","keywords":"Inrush current; Process (computing); Water flow; Computer science; Engineering; Civil engineering; Geotechnical engineering","score_opus":0.01310062004835896,"score_gpt":0.23967961895411036,"score_spread":0.2265789989057514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024341817","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":[0.8663818,0.000016641578,0.13263589,0.00025555285,0.00009109971,0.00023180396,0.0000037933974,0.00006576271,0.00031760777],"genre_scores_gemma":[0.9722046,0.000010794814,0.027615858,0.000015619422,0.00000323286,0.000061828316,0.000004083482,0.000006448476,0.00007751322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991498,0.0000025594338,0.00020777078,0.00018859131,0.00013294558,0.00031831063],"domain_scores_gemma":[0.9996746,0.000024653225,0.000014207779,0.00015321492,0.000099953766,0.00003337924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000299027,0.000075519085,0.00010125032,0.00024259591,0.00011082411,0.000048785525,0.00032427948,0.00003934871,0.000007859944],"category_scores_gemma":[0.00010619906,0.00006223945,0.000011503249,0.00051369367,0.00021986336,0.000867267,0.000061532664,0.00005070459,0.0000047233743],"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":[0.0000020372843,0.00002384739,0.0016383022,0.00008682171,0.000002040534,2.4618794e-7,0.004158072,0.86967224,0.11919996,0.0012248039,0.000022147286,0.0039694957],"study_design_scores_gemma":[0.00011202566,0.00002362795,0.0012305656,0.00003521772,0.0000015344438,0.0000011519564,0.0005336636,0.9782197,0.018163625,0.001573303,0.000017811511,0.000087804445],"about_ca_topic_score_codex":0.00010993662,"about_ca_topic_score_gemma":0.0007057297,"teacher_disagreement_score":0.10854744,"about_ca_system_score_codex":0.000091652946,"about_ca_system_score_gemma":0.00013144423,"threshold_uncertainty_score":0.25380513},"labels":[],"label_agreement":null},{"id":"W2041040304","doi":"10.1016/s0925-7535(01)00070-4","title":"Good management practice as a means of preventing back disorders in the construction sector","year":2002,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Center for Construction Research and Training","keywords":"Work (physics); Occupational safety and health; Human factors and ergonomics; Intervention (counseling); Risk analysis (engineering); Engineering; Poison control; Injury prevention; Suicide prevention; Operations management; Forensic engineering; Transport engineering; Business; Medicine; Environmental health; Nursing","score_opus":0.06201380950893823,"score_gpt":0.4415890539032944,"score_spread":0.3795752443943562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041040304","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":[0.046409514,0.00010888222,0.000659911,0.022328543,0.0005720696,0.002406287,0.000013445762,0.00001863777,0.9274827],"genre_scores_gemma":[0.99411184,0.00047280092,0.0037819878,0.00061907846,0.000052369443,0.00007544449,0.0000022321415,0.000005185099,0.00087907823],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9972802,0.0006313428,0.00045363334,0.00025259762,0.00086701376,0.00051523204],"domain_scores_gemma":[0.9979039,0.0013552484,0.0002011063,0.0002922924,0.00016194554,0.00008550239],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0046292446,0.00007095383,0.000104750994,0.00015918611,0.0008763804,0.000008243233,0.00042642682,0.000044426128,0.0011284656],"category_scores_gemma":[0.0009805943,0.000051766456,0.00002822531,0.0014938785,0.00035737432,0.0004182799,0.00011519958,0.0003966916,0.00046197872],"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":[0.0006288975,0.000737101,0.2915778,0.0016232751,0.000024651003,0.0000069740527,0.0260167,0.00034969585,0.00013183887,0.40516663,0.00097642344,0.27276003],"study_design_scores_gemma":[0.0016860268,0.00025841466,0.83172613,0.00041333694,0.000014379695,0.000011439648,0.032361522,0.00560519,0.000011559535,0.00587143,0.12184698,0.00019357122],"about_ca_topic_score_codex":0.0004894728,"about_ca_topic_score_gemma":0.00041070988,"teacher_disagreement_score":0.9477023,"about_ca_system_score_codex":0.00015039282,"about_ca_system_score_gemma":0.00025144118,"threshold_uncertainty_score":0.99978465},"labels":[],"label_agreement":null},{"id":"W2041777542","doi":"10.1016/j.ssci.2006.05.003","title":"The contribution of qualitative analyses of occupational health and safety interventions: An example through a study of external advisory interventions","year":2006,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Psychological intervention; Occupational safety and health; Advisory committee; Poison control; Suicide prevention; Injury prevention; Human factors and ergonomics; Qualitative research; Environmental health; Medicine; Nursing; Political science; Sociology","score_opus":0.48042311546956734,"score_gpt":0.637886411455252,"score_spread":0.1574632959856847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041777542","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":[0.9466152,0.002351928,0.047156863,0.0005453845,0.00024502812,0.0023709952,0.0002983326,0.000017140928,0.00039909466],"genre_scores_gemma":[0.9982362,0.00021735107,0.0012386034,0.000034316345,0.000039913724,0.000086477194,0.00006701755,0.000005857519,0.00007429013],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9934054,0.002567864,0.0021687942,0.00034558063,0.0010148681,0.00049750827],"domain_scores_gemma":[0.9935354,0.0029102413,0.0013176724,0.00039703806,0.001681931,0.00015773695],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.011014033,0.000118892574,0.0004409813,0.00023762895,0.002189432,0.000008256489,0.00040890466,0.000050895662,0.000072602495],"category_scores_gemma":[0.0013031226,0.000086650216,0.00014463247,0.0011199107,0.0011599552,0.0005159996,0.00021960694,0.00028755315,0.0000028093862],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00772358,0.004677239,0.46383926,0.002522491,0.00009738176,7.638529e-7,0.079933934,0.00053077214,0.0019802244,0.4258201,0.00012548633,0.012748741],"study_design_scores_gemma":[0.0015633014,0.001822954,0.9334884,0.00089015445,0.00001655999,6.9434026e-7,0.054653067,0.00039356976,0.000070044895,0.0069167404,0.00011047531,0.0000739816],"about_ca_topic_score_codex":0.026702274,"about_ca_topic_score_gemma":0.010682922,"teacher_disagreement_score":0.46964917,"about_ca_system_score_codex":0.00020783397,"about_ca_system_score_gemma":0.0018816824,"threshold_uncertainty_score":0.99910957},"labels":[],"label_agreement":null},{"id":"W2049468273","doi":"10.1016/j.ssci.2006.05.001","title":"Promoting safety awareness in fishing communities through community arts: An action research project","year":2006,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Community Sector Council Newfoundland and Labrador; Memorial University of Newfoundland","funders":"","keywords":"Fishing; Public relations; The arts; Engineering; Safety culture; Community education; Action (physics); Occupational safety and health; Process (computing); Sociology; Pedagogy; Political science; Management; Computer science","score_opus":0.5086804687499052,"score_gpt":0.6049048387730716,"score_spread":0.0962243700231663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049468273","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":[0.9426862,0.00005992642,0.00044978052,0.0037653681,0.00050253776,0.002508803,0.000080610356,0.00015167976,0.04979512],"genre_scores_gemma":[0.99765366,0.00010117671,0.0008700393,0.00027059906,0.00029069924,0.00028126166,0.00019620215,0.000024536388,0.00031183776],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98672414,0.008049703,0.0010429752,0.00040757723,0.0018684258,0.0019072022],"domain_scores_gemma":[0.9920643,0.0051423297,0.00021197186,0.0010856359,0.0012982468,0.00019749002],"candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.035739254,0.00019826215,0.0003317793,0.0006511414,0.017512035,0.00009203442,0.0014953493,0.00021771055,0.00012130478],"category_scores_gemma":[0.0016666021,0.00018240279,0.000039760303,0.0038189415,0.0014359409,0.002637481,0.00081214163,0.004737948,0.00007390193],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016676398,0.0011525534,0.7972678,0.0016311865,0.0000051191473,0.000010869208,0.14032495,0.00063356804,0.0017923238,0.029987028,0.000769521,0.024757449],"study_design_scores_gemma":[0.00084351836,0.00026313824,0.9002011,0.0006905603,0.0000015349469,0.0000040362675,0.069549106,0.007776082,0.00011348216,0.008205241,0.012122315,0.00022993424],"about_ca_topic_score_codex":0.29387254,"about_ca_topic_score_gemma":0.1656276,"teacher_disagreement_score":0.12824494,"about_ca_system_score_codex":0.001763815,"about_ca_system_score_gemma":0.0066196355,"threshold_uncertainty_score":0.99901193},"labels":[],"label_agreement":null},{"id":"W2051597757","doi":"10.1016/j.ssci.2005.09.004","title":"Towards proactive monitoring in the petrochemical industry","year":2005,"lang":"en","type":"article","venue":"Safety Science","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":31,"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":"Petrochemical; Interface (matter); Risk analysis (engineering); Human factors and ergonomics; Graphics; Poison control; Engineering; State (computer science); Computer science; Computer security; Business; Environmental resource management; Environmental science; Environmental engineering; Medical emergency; Medicine","score_opus":0.039986648798257765,"score_gpt":0.3983359201706168,"score_spread":0.35834927137235906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051597757","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":[0.62090546,0.00001790588,0.00030936085,0.005822838,0.0008809753,0.00016268202,0.0000024220067,0.00005730008,0.37184104],"genre_scores_gemma":[0.9978621,0.0000015650307,0.000397083,0.00043444667,0.00033189944,0.00002966698,6.3628966e-7,0.000003815944,0.0009387733],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99880344,0.000074183874,0.00021030057,0.00026644158,0.00036936285,0.00027625225],"domain_scores_gemma":[0.99947894,0.00007504952,0.00005468974,0.00027219168,0.00005957244,0.00005956005],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008848093,0.00007847774,0.00007362078,0.00011968018,0.00020166869,0.000046441288,0.0005161029,0.00009207329,0.001420056],"category_scores_gemma":[0.00013182033,0.000056834015,0.000030353489,0.0006285532,0.0002572519,0.00034707127,0.000044565568,0.00060734636,0.00047053988],"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":[0.00041416762,0.0012219973,0.053390555,0.000011021074,0.00004642736,0.000040425362,0.17465149,0.00034245767,0.019213041,0.1502563,0.0052807704,0.59513134],"study_design_scores_gemma":[0.00041874975,0.000032147447,0.9493661,0.000016670641,0.000003198363,0.000054801105,0.010803021,0.00044157173,0.005649532,0.00022777422,0.032837633,0.00014880387],"about_ca_topic_score_codex":0.000037537833,"about_ca_topic_score_gemma":0.000006657465,"teacher_disagreement_score":0.89597553,"about_ca_system_score_codex":0.00019481714,"about_ca_system_score_gemma":0.000100080695,"threshold_uncertainty_score":0.99949276},"labels":[],"label_agreement":null},{"id":"W2064566979","doi":"10.1016/j.ssci.2011.11.014","title":"Work-related injury and ill-health among mountain instructors in the UK","year":2011,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Performance","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Loughborough University; Institut National de Santé Publique du Québec","keywords":"Occupational safety and health; Sick leave; Human factors and ergonomics; Injury prevention; Work (physics); Rehabilitation; Medicine; Suicide prevention; Poison control; Occupational injury; Musculoskeletal injury; Occupational medicine; Physical therapy; Environmental health; Nursing; Alternative medicine; Engineering","score_opus":0.052273744286411516,"score_gpt":0.39719821665927135,"score_spread":0.34492447237285984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064566979","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":[0.98377144,0.00009969887,0.0000128841375,0.001184882,0.00055061944,0.0006130959,0.000012399279,0.000024184348,0.013730771],"genre_scores_gemma":[0.99567044,0.00014183328,0.00035013887,0.003632029,0.000041287756,0.000028372218,0.00000408641,0.000004969836,0.00012682997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99796164,0.00027473393,0.00050121173,0.00026391083,0.00035591683,0.0006425869],"domain_scores_gemma":[0.99905616,0.0001898786,0.00019454642,0.00026522722,0.00009443004,0.00019976236],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004150773,0.00009657448,0.00013396009,0.00017404235,0.0016181516,0.0000069632233,0.0003818962,0.00008285302,0.00023576137],"category_scores_gemma":[0.00018787284,0.000064033404,0.0000127837675,0.0014873896,0.00064007647,0.00033915194,0.00009476944,0.0006077824,0.000082536644],"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":[0.00006383284,0.000009786665,0.9664173,0.000029240655,4.7092414e-7,4.526908e-7,0.017541762,0.0000012256257,0.0000017064903,0.0072044753,0.00015596922,0.008573735],"study_design_scores_gemma":[0.00023082865,0.000060399005,0.9950453,0.000119564225,7.1858216e-7,8.446462e-7,0.0020073527,0.00013530812,0.0000017370394,0.0012711987,0.0010552251,0.000071525414],"about_ca_topic_score_codex":0.0024174869,"about_ca_topic_score_gemma":0.0009699115,"teacher_disagreement_score":0.028627956,"about_ca_system_score_codex":0.00018831673,"about_ca_system_score_gemma":0.0011073535,"threshold_uncertainty_score":0.9996816},"labels":[],"label_agreement":null},{"id":"W2068959684","doi":"10.1016/j.ssci.2011.02.014","title":"Possibilistic regression analysis of influential factors for occupational health and safety management systems","year":2011,"lang":"en","type":"article","venue":"Safety Science","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Occupational safety and health; Regression analysis; Poison control; Human factors and ergonomics; Injury prevention; Risk analysis (engineering); Engineering; Environmental health; Computer science; Medicine; Machine learning","score_opus":0.24691288770888695,"score_gpt":0.4607089107667947,"score_spread":0.21379602305790776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068959684","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":[0.7263551,0.00019287047,0.26962587,0.00006728147,0.001165502,0.000903946,0.00032265685,0.000032001102,0.0013347904],"genre_scores_gemma":[0.98737997,0.000017208107,0.012309771,0.00007357612,0.00001686883,0.000008714766,0.000012731458,0.000006010379,0.00017517795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944513,0.00018771506,0.0014605273,0.0009492496,0.0025120557,0.0004391705],"domain_scores_gemma":[0.9959063,0.0012949891,0.0008748548,0.0008928574,0.000712899,0.0003181059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009070073,0.00017763376,0.0005686124,0.0017055029,0.00072612986,0.0001982272,0.0011821813,0.00004893461,0.00016939071],"category_scores_gemma":[0.0033109,0.000117438896,0.0001636724,0.0041549075,0.0006221895,0.0006443996,0.00048765383,0.000064604406,0.000007759599],"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":[0.00296238,0.0003629498,0.71232915,0.00017265043,0.00037426114,0.0000071766017,0.018396148,0.00588649,0.0010510407,0.11202032,0.0005772215,0.1458602],"study_design_scores_gemma":[0.00043007167,0.00008008849,0.9388649,0.00007151048,0.00006465546,0.0000013426421,0.0025833843,0.054706473,0.00004779313,0.002227986,0.00077273557,0.00014905258],"about_ca_topic_score_codex":0.00015040232,"about_ca_topic_score_gemma":0.00003212403,"teacher_disagreement_score":0.26102486,"about_ca_system_score_codex":0.00013229958,"about_ca_system_score_gemma":0.0002794508,"threshold_uncertainty_score":0.5584877},"labels":[],"label_agreement":null},{"id":"W2068998962","doi":"10.1016/j.ssci.2011.03.013","title":"Assessing the impact of risk-taking behavior on road crash involvement among University students residing in two Mediterranean countries","year":2011,"lang":"en","type":"article","venue":"Safety Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; Montreal General Hospital","funders":"","keywords":"Crash; Poison control; Human factors and ergonomics; Injury prevention; Suicide prevention; Occupational safety and health; Environmental health; Transport engineering; Forensic engineering; Psychology; Mediterranean climate; Gerontology; Demography; Medicine; Engineering; Geography; Computer science; Sociology","score_opus":0.037379055502429495,"score_gpt":0.31758289910671506,"score_spread":0.2802038436042856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068998962","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":[0.99641585,0.000022402923,0.0003825017,0.0000041160097,0.00028427015,0.00018496343,0.00001153418,0.00006929305,0.0026250915],"genre_scores_gemma":[0.99974895,0.00005591754,0.00015333903,0.0000030369495,0.000022640732,0.0000011137088,0.0000010626818,0.00000910681,0.000004814092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861515,0.000062311,0.00023048879,0.00022038893,0.00053494994,0.00033671857],"domain_scores_gemma":[0.99932826,0.000079154175,0.00018856705,0.00028061774,0.000047881324,0.000075540156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013814426,0.00013830655,0.00015548366,0.00019489697,0.0003640651,0.00004761751,0.0007282692,0.000031507752,0.000039063667],"category_scores_gemma":[0.00006495963,0.00009964966,0.00006114102,0.000640201,0.00048778954,0.0006484022,0.000121508194,0.00023695994,0.000004197719],"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":[0.000020446923,0.000048466576,0.9651257,0.0000062405697,0.000010352698,0.000013468722,0.007860496,0.022262901,0.00029576145,0.0001158992,0.0000042278702,0.00423607],"study_design_scores_gemma":[0.00035564968,0.000035483612,0.99019355,0.000108846485,0.000014932283,8.1972945e-7,0.0027013978,0.005907392,0.00054637686,0.000015072637,0.000003752875,0.00011670308],"about_ca_topic_score_codex":0.0019512187,"about_ca_topic_score_gemma":0.0007360579,"teacher_disagreement_score":0.025067905,"about_ca_system_score_codex":0.0004157534,"about_ca_system_score_gemma":0.00009044185,"threshold_uncertainty_score":0.4063595},"labels":[],"label_agreement":null},{"id":"W2079002600","doi":"10.1016/j.ssci.2010.10.006","title":"The correlation between gradients of descending roads and accident rates","year":2010,"lang":"en","type":"article","venue":"Safety Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Accident (philosophy); Environmental science; Traffic accident; Statistics; Descent (aeronautics); Regression analysis; Road accident; Mathematics; Forensic engineering; Transport engineering; Geography; Engineering; Meteorology","score_opus":0.00604920840245513,"score_gpt":0.22679986523911677,"score_spread":0.22075065683666165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079002600","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":[0.99354696,0.00007285298,0.003558699,0.00006426685,0.00077672687,0.000074982374,0.0000019595855,0.000051404768,0.0018521473],"genre_scores_gemma":[0.9995194,0.0000611813,0.00034750416,0.0000020187802,0.00003677799,9.560487e-7,8.466376e-7,0.000004315264,0.000026973776],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994122,0.000005996423,0.00014186472,0.00010143697,0.0001670279,0.00017151641],"domain_scores_gemma":[0.9996564,0.000095557,0.000027755244,0.00013295966,0.00002846883,0.000058850583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005313028,0.0000566534,0.00006365006,0.00004048368,0.00032112832,0.000026197155,0.00016808983,0.000028118691,0.0000040309264],"category_scores_gemma":[0.00005790789,0.00003871594,0.000014702128,0.0002621939,0.000328691,0.00019059039,0.000041494877,0.00012887188,0.000005441146],"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":[0.000007874109,0.000006130933,0.8448375,0.0000111581585,0.000010141059,5.409704e-7,0.0010605983,0.0069658835,0.014640135,0.0103475405,0.000052721123,0.12205978],"study_design_scores_gemma":[0.00008152643,0.0000074747345,0.980715,0.000008796658,0.0000039611073,0.0000023403304,0.000055581557,0.015798343,0.0024244639,0.0002066206,0.000643129,0.000052805663],"about_ca_topic_score_codex":0.0000061451615,"about_ca_topic_score_gemma":0.000027983335,"teacher_disagreement_score":0.13587746,"about_ca_system_score_codex":0.000017167902,"about_ca_system_score_gemma":0.000019972986,"threshold_uncertainty_score":0.24698919},"labels":[],"label_agreement":null},{"id":"W2080592696","doi":"10.1016/j.ssci.2012.09.003","title":"Negative safety events as correlates of work-safety tension","year":2012,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Occupational safety and health; Safety behaviors; Work (physics); Work safety; Human factors and ergonomics; Compliance (psychology); Workplace safety; Injury prevention; Poison control; Front line; Near miss; Suicide prevention; Safety culture; Effective safety training; Engineering; Applied psychology; Psychology; Environmental health; Forensic engineering; Operations management; Medicine; Social psychology; Nursing; Public health; Occupational health nursing; Management; Political science; Health promotion","score_opus":0.06865906237430328,"score_gpt":0.4567381055548646,"score_spread":0.3880790431805613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080592696","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":[0.72104466,0.0011460291,0.003991732,0.012823816,0.009325606,0.006239641,0.00036273684,0.0002729783,0.24479277],"genre_scores_gemma":[0.99511427,0.0003421643,0.0012463595,0.00060844317,0.00027280385,0.00004513552,0.00003141581,0.000021120515,0.0023182682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99429524,0.0006799496,0.0011557988,0.00048168615,0.0016543327,0.0017330117],"domain_scores_gemma":[0.993778,0.0031556126,0.00045734242,0.0006227139,0.0010653154,0.00092100934],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007296628,0.00022759664,0.0004269418,0.00030018,0.002842255,0.000004882387,0.00069069996,0.00022931102,0.0016814414],"category_scores_gemma":[0.0041955877,0.00018130407,0.000101678765,0.0025181933,0.00084379007,0.00088892924,0.0005298406,0.0009839756,0.0024779828],"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":[0.00282454,0.00018501855,0.94651484,0.00014801002,0.000012049562,0.0000012360211,0.0039282837,0.00007022559,0.00035794472,0.02464475,0.00046036023,0.02085273],"study_design_scores_gemma":[0.00092280726,0.00013598129,0.9855471,0.00039260407,0.000008720944,0.0000029104285,0.0010294352,0.0002791185,0.00011851622,0.0017174657,0.009656351,0.00018896835],"about_ca_topic_score_codex":0.00053104095,"about_ca_topic_score_gemma":0.000032347067,"teacher_disagreement_score":0.2740696,"about_ca_system_score_codex":0.0006525936,"about_ca_system_score_gemma":0.0025350081,"threshold_uncertainty_score":0.99923116},"labels":[],"label_agreement":null},{"id":"W2081169470","doi":"10.1016/j.ssci.2014.01.005","title":"Investigation of haul truck-related fatal accidents in surface mining using fault tree analysis","year":2014,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Haulage; Truck; Fault tree analysis; Surface mining; Forensic engineering; Transport engineering; Coal mining; Engineering; Coal; Waste management; Automotive engineering; Structural engineering; Reliability engineering","score_opus":0.09585409777268991,"score_gpt":0.45471366333554264,"score_spread":0.3588595655628527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081169470","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":[0.9943244,0.000023063074,0.0013015311,0.00059744116,0.00025048558,0.00042775716,0.000016645256,0.000020696265,0.003038024],"genre_scores_gemma":[0.9963224,0.000010171009,0.003354739,0.00011583511,0.000027271135,0.0000059775894,0.000029806091,0.000007339449,0.0001264842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963876,0.0006258325,0.0009258731,0.00040758288,0.0009818508,0.00067127676],"domain_scores_gemma":[0.997549,0.0010799541,0.00034836127,0.00035296043,0.0003809719,0.00028877336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005993368,0.0001112256,0.00032667594,0.0006520099,0.0008258044,0.000009560271,0.00044971734,0.00013124454,0.00014661903],"category_scores_gemma":[0.0017225293,0.00010210396,0.000060725095,0.005696188,0.00042527338,0.0005090499,0.00017259312,0.0003914785,0.000044783403],"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":[0.00007326341,0.000008654858,0.98405695,0.00005022325,0.000009098648,5.2231667e-7,0.0021686845,0.0067854114,0.003657306,0.0007348167,0.000004576599,0.0024504776],"study_design_scores_gemma":[0.0004903559,0.000031992364,0.80765355,0.00010245838,0.000015159075,2.9164724e-7,0.0006057924,0.19037515,0.00023055908,0.00039565287,0.000021651325,0.00007739524],"about_ca_topic_score_codex":0.0028170713,"about_ca_topic_score_gemma":0.00199432,"teacher_disagreement_score":0.18358973,"about_ca_system_score_codex":0.00036221914,"about_ca_system_score_gemma":0.0014323469,"threshold_uncertainty_score":0.6351503},"labels":[],"label_agreement":null},{"id":"W2083581587","doi":"10.1016/j.ssci.2010.02.013","title":"Human error risk analysis in offshore emergencies","year":2010,"lang":"en","type":"article","venue":"Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Human error; Risk analysis (engineering); Accidental; Work (physics); Risk assessment; Near miss; Human factors and ergonomics; Submarine pipeline; Occupational safety and health; Poison control; Forensic engineering; Process (computing); Engineering; Computer science; Medical emergency; Computer security; Business; Medicine","score_opus":0.051953500490786425,"score_gpt":0.3927848070314119,"score_spread":0.34083130654062543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083581587","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":[0.97805774,0.000041767653,0.0024478065,0.0016498737,0.00047575685,0.00010759457,0.00003275991,0.000039031427,0.017147683],"genre_scores_gemma":[0.99651456,0.000047871457,0.0017181307,0.00007622286,0.000060953073,0.0000048144116,0.000002982812,0.0000055458154,0.001568893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9937824,0.00021155545,0.0011287625,0.0011732654,0.0030566293,0.0006473886],"domain_scores_gemma":[0.9965976,0.00038829306,0.0004163433,0.001752113,0.0005417919,0.0003038504],"candidate_categories":["bibliometrics","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.015260535,0.00020182037,0.0005479985,0.0025919187,0.0012475956,0.00028338,0.0031906767,0.00010123417,0.003247476],"category_scores_gemma":[0.0049561653,0.00014467127,0.00044558523,0.025146637,0.0015429162,0.0010067027,0.0003829875,0.000549665,0.00051710877],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012827758,0.000072485505,0.95003253,5.704227e-7,0.00004293156,0.000007619048,0.0014892233,0.007292303,0.0068655373,0.006854135,0.0003045296,0.027025314],"study_design_scores_gemma":[0.000120076875,0.000020572554,0.9406155,0.000001428124,0.00009392599,0.0000011702454,0.0013233785,0.022951392,0.00031608116,0.030127786,0.004219276,0.00020944004],"about_ca_topic_score_codex":0.0012712696,"about_ca_topic_score_gemma":0.039627034,"teacher_disagreement_score":0.038355764,"about_ca_system_score_codex":0.00005326571,"about_ca_system_score_gemma":0.00023007463,"threshold_uncertainty_score":0.9976637},"labels":[],"label_agreement":null},{"id":"W2091097995","doi":"10.1016/j.ssci.2012.07.005","title":"A framework for human error analysis of offshore evacuations","year":2012,"lang":"en","type":"article","venue":"Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Dalhousie University","funders":"Research Nova Scotia; Nova Scotia Department of Energy","keywords":"Human error; Risk assessment; Process (computing); Poison control; Risk analysis (engineering); Occupational safety and health; Submarine pipeline; Dependency (UML); Computer science; Human factors and ergonomics; Engineering; Reliability engineering; Computer security; Medical emergency; Medicine; Systems engineering","score_opus":0.18145283823535657,"score_gpt":0.47940118165336254,"score_spread":0.29794834341800597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091097995","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":[0.27762568,0.00021874886,0.7129998,0.002770421,0.0003800454,0.0002967405,0.00016053188,0.000032803237,0.005515215],"genre_scores_gemma":[0.97262037,0.000011248292,0.026749745,0.00011368611,0.00007179423,0.0000132593295,0.00000957166,0.0000047155117,0.000405609],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9958023,0.00010647324,0.0008944377,0.0005165926,0.0021529954,0.0005272236],"domain_scores_gemma":[0.99532986,0.001867103,0.0004522682,0.0011650911,0.0009109675,0.00027472846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010384235,0.00012879245,0.00051785907,0.0015719283,0.00093734043,0.00011768832,0.0016644747,0.00007727944,0.0007665331],"category_scores_gemma":[0.0072542774,0.00009298018,0.0005659744,0.01586317,0.00086295104,0.000885087,0.00017101962,0.00010720149,0.000070449176],"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":[0.000042080897,0.00019491854,0.2587651,0.000003151682,0.00028890895,1.8052995e-7,0.004467437,0.00701849,0.0018756812,0.69529915,0.00028665163,0.031758234],"study_design_scores_gemma":[0.00012136918,0.00004658305,0.7505312,0.0000078811345,0.00073129433,4.6485303e-7,0.0020308213,0.024272554,0.00056188996,0.21634007,0.0051610493,0.00019483021],"about_ca_topic_score_codex":0.000052195785,"about_ca_topic_score_gemma":0.00012124946,"teacher_disagreement_score":0.6949947,"about_ca_system_score_codex":0.00006423736,"about_ca_system_score_gemma":0.00015958428,"threshold_uncertainty_score":0.8684572},"labels":[],"label_agreement":null},{"id":"W2091975009","doi":"10.1016/j.ssci.2012.04.015","title":"Safety performance functions using traffic conflicts","year":2012,"lang":"en","type":"article","venue":"Safety Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":261,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Negative binomial distribution; Traffic conflict; Collision; Goodness of fit; Traffic volume; Computer science; Poison control; Function (biology); Statistics; Transport engineering; Econometrics; Mathematics; Engineering; Computer security; Traffic congestion","score_opus":0.018338641535744514,"score_gpt":0.22484016390096154,"score_spread":0.20650152236521702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091975009","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":[0.95021874,0.00040162556,0.0127907,0.000047876303,0.0026273448,0.0001574286,0.000016766116,0.0005838612,0.033155654],"genre_scores_gemma":[0.99817735,0.0001038012,0.0011678006,0.00004628767,0.00023599342,0.0000027738806,0.0000039809897,0.000020054988,0.00024193106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840766,0.000012202134,0.00025678732,0.00020638641,0.00035832537,0.00075860973],"domain_scores_gemma":[0.99929404,0.00003352256,0.000028715465,0.00030889316,0.00005225495,0.0002825723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006573307,0.00016918468,0.00014869131,0.00013298527,0.0006801886,0.000027991364,0.0003080671,0.00006465095,0.00013351029],"category_scores_gemma":[0.00002104361,0.00015388876,0.000051366158,0.0009439699,0.0003841006,0.0009995108,0.00005255448,0.00020319196,0.00030213303],"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":[0.000023717603,0.00003502419,0.005925629,0.000037641443,0.000014376236,7.647742e-7,0.0016150317,0.933258,0.0041002887,0.0010442189,0.00014372954,0.053801563],"study_design_scores_gemma":[0.00042773847,0.00002825998,0.38258332,0.00004706626,0.000025359252,0.000073345975,0.0003041001,0.52067643,0.0009456867,0.0000021881076,0.094388664,0.0004978616],"about_ca_topic_score_codex":0.0000033685324,"about_ca_topic_score_gemma":0.000002538655,"teacher_disagreement_score":0.4125816,"about_ca_system_score_codex":0.00022101784,"about_ca_system_score_gemma":0.00008351938,"threshold_uncertainty_score":0.6275402},"labels":[],"label_agreement":null},{"id":"W2170445052","doi":"10.1016/j.ssci.2014.02.007","title":"Seeing patient safety ‘Like a State’","year":2014,"lang":"en","type":"article","venue":"Safety Science","topic":"Healthcare Quality and Management","field":"Health Professions","cited_by":47,"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":"Ideology; Health care; Authoritarianism; State (computer science); Patient safety; Poison control; Occupational safety and health; Sociology; Public relations; Engineering; Political science; Medicine; Politics; Computer science; Law; Medical emergency; Democracy","score_opus":0.051710335926497854,"score_gpt":0.42821840436185765,"score_spread":0.3765080684353598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170445052","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":[0.31924182,0.00014899924,0.10776042,0.043401852,0.010085463,0.0039740503,0.00008644276,0.0008570371,0.51444393],"genre_scores_gemma":[0.98168445,0.000058232596,0.0015534114,0.014632927,0.000110072906,0.000037917518,0.000005565579,0.0000121918565,0.0019052607],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963744,0.00069873966,0.0006879108,0.00049758935,0.00074166094,0.0009996853],"domain_scores_gemma":[0.9981389,0.00044029183,0.00020768166,0.00060354616,0.00023491344,0.00037467823],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006332609,0.00013351398,0.00020932559,0.00014106157,0.0027350695,0.00001685063,0.00045422016,0.00006463994,0.00029803632],"category_scores_gemma":[0.000674186,0.00011387236,0.00004045284,0.0007839967,0.0003164529,0.0003258064,0.00044174597,0.0004363956,0.0010921672],"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":[0.00023041009,0.00012711405,0.010892411,0.0006551101,0.000013707543,0.000008093735,0.049772426,0.00042437477,0.00071551464,0.21917997,0.006919046,0.71106184],"study_design_scores_gemma":[0.0003904567,0.00013304522,0.0606025,0.00017598642,0.0000036704125,6.079917e-7,0.004113041,0.0013244661,0.00003639273,0.0034678243,0.9295511,0.00020091393],"about_ca_topic_score_codex":0.0009076324,"about_ca_topic_score_gemma":0.0005011392,"teacher_disagreement_score":0.92263204,"about_ca_system_score_codex":0.00045083973,"about_ca_system_score_gemma":0.000681451,"threshold_uncertainty_score":0.9996856},"labels":[],"label_agreement":null},{"id":"W2207688632","doi":"10.1016/j.ssci.2015.12.010","title":"Managing risks linked to machinery in sawmills by controlling hazardous energies: Theory and practice in eight sawmills","year":2015,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Hazardous waste; Engineering; Operations management; Transport engineering; Environmental science; Waste management","score_opus":0.08414970006629922,"score_gpt":0.4881284655431421,"score_spread":0.40397876547684286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2207688632","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":[0.7934991,0.0072854636,0.008199685,0.076481506,0.0023720046,0.0060934946,0.0002306113,0.00016157658,0.10567656],"genre_scores_gemma":[0.99061865,0.00095472345,0.0018314588,0.005785038,0.00012691822,0.00013789957,0.000012831806,0.000018154542,0.0005143169],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99434566,0.0020468752,0.00079411187,0.00063697546,0.0009666088,0.0012097567],"domain_scores_gemma":[0.98862857,0.009638566,0.00017670664,0.00038103553,0.00039926928,0.00077586627],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.025550527,0.00018300713,0.00035967713,0.00059054466,0.00077560305,0.00003542061,0.0004895807,0.00014283716,0.000041144678],"category_scores_gemma":[0.01744591,0.00015661353,0.000023272287,0.0017006724,0.00032729612,0.0007284796,0.00036403022,0.00094275933,0.00015876404],"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":[0.029736847,0.0006994235,0.41733772,0.00070751086,0.00003440946,0.00024183748,0.08032589,0.021137971,0.005910164,0.08894968,0.0047043734,0.35021418],"study_design_scores_gemma":[0.011989813,0.0006805897,0.7986987,0.001434084,0.000019442343,0.000026072148,0.032403763,0.028742615,0.00005385638,0.03491743,0.08992251,0.0011111005],"about_ca_topic_score_codex":0.0044755307,"about_ca_topic_score_gemma":0.0008914073,"teacher_disagreement_score":0.381361,"about_ca_system_score_codex":0.0006831786,"about_ca_system_score_gemma":0.0020113168,"threshold_uncertainty_score":0.99083054},"labels":[],"label_agreement":null},{"id":"W2215246139","doi":"10.1016/j.ssci.2015.11.022","title":"Learning from major accidents to improve system design","year":2015,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nicolet Chartrand Knoll (Canada); McGill University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Risk analysis (engineering); Robustness (evolution); Reliability (semiconductor); Human reliability; Data collection; Human error; Context (archaeology); Computer science; Poison control; Field (mathematics); Control (management); Engineering; Reliability engineering; Artificial intelligence","score_opus":0.1455377745373677,"score_gpt":0.4712224065718384,"score_spread":0.32568463203447073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2215246139","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":[0.6440452,0.00028029198,0.191651,0.014530497,0.013645451,0.010411307,0.00015382847,0.0009182638,0.12436416],"genre_scores_gemma":[0.9907577,0.0000041905423,0.006038122,0.00060163543,0.000414636,0.0001677393,0.000010032647,0.000014675168,0.001991262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99589944,0.00067953893,0.0005027075,0.0005294598,0.001362614,0.0010262509],"domain_scores_gemma":[0.9962403,0.0010991883,0.00013449494,0.000401514,0.0008170489,0.0013074559],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0068815816,0.00012220239,0.00020790928,0.00020013539,0.0020144596,0.000029039838,0.0007330633,0.00010080993,0.00013981933],"category_scores_gemma":[0.0035668162,0.00010270125,0.00002677294,0.0011196717,0.00012529065,0.0003968071,0.0004274437,0.0006211524,0.006950964],"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":[0.006272155,0.00015223012,0.80382997,0.0005212649,0.00003079279,0.00005632689,0.027191982,0.005890694,0.012151356,0.017623875,0.010107585,0.11617175],"study_design_scores_gemma":[0.0025783174,0.0008538925,0.9341858,0.0005406747,0.000010580959,0.000002437374,0.014641025,0.024053581,0.00048226689,0.0012120832,0.020991234,0.00044812346],"about_ca_topic_score_codex":0.002991135,"about_ca_topic_score_gemma":0.000089217225,"teacher_disagreement_score":0.34671253,"about_ca_system_score_codex":0.0011884591,"about_ca_system_score_gemma":0.004290292,"threshold_uncertainty_score":0.9992848},"labels":[],"label_agreement":null},{"id":"W2221960199","doi":"10.1016/j.ssci.2015.06.002","title":"Use of a human factors classification framework to identify causal factors for medication and medical device-related adverse clinical incidents","year":2015,"lang":"en","type":"article","venue":"Safety Science","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Research Council; Clinical Excellence Commission; NSW Ministry of Health; National Health and Medical Research Council; Canadian Patient Safety Institute","keywords":"Patient safety; Human error; Medical emergency; Incident report; Documentation; Medicine; Human factors and ergonomics; Near miss; Descriptive statistics; Adverse effect; Medical record; Poison control; Occupational safety and health; Health care; Injury prevention; Risk analysis (engineering); Computer security; Surgery; Computer science; Forensic engineering","score_opus":0.38911985984540165,"score_gpt":0.5577183331810641,"score_spread":0.16859847333566247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221960199","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":[0.9724739,0.000011521022,0.021003354,0.0029089984,0.0020963848,0.0012277423,0.000048482707,0.000068534704,0.00016104395],"genre_scores_gemma":[0.99783987,0.000028319775,0.0010636933,0.0006701311,0.000082116545,0.000057409965,0.000118426295,0.00001419187,0.00012583061],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955082,0.00044392954,0.0015211976,0.00050242705,0.0015511703,0.00047308803],"domain_scores_gemma":[0.99424887,0.0023228163,0.0008784925,0.0004998058,0.000713823,0.0013362207],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006194511,0.00016453823,0.00035249666,0.00029169675,0.0008246396,0.0000037572552,0.00055783696,0.00046897636,0.00011536108],"category_scores_gemma":[0.03788748,0.00013434542,0.0000678451,0.0009027459,0.0010233369,0.0006312168,0.00024144597,0.00059094536,0.000050839364],"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":[0.00009147867,0.00012987807,0.96586275,0.0000544161,0.00001827859,3.7363327e-7,0.02246917,0.000012330788,0.00057132595,0.009057885,0.0007493349,0.0009827993],"study_design_scores_gemma":[0.0006983856,0.00017025063,0.983202,0.00035359932,0.00003136881,3.7847332e-7,0.008529085,0.00058706093,0.000044400324,0.0011483664,0.00509661,0.00013852816],"about_ca_topic_score_codex":0.00024502023,"about_ca_topic_score_gemma":0.00014164766,"teacher_disagreement_score":0.031692967,"about_ca_system_score_codex":0.00026722133,"about_ca_system_score_gemma":0.0017870963,"threshold_uncertainty_score":0.9702168},"labels":[],"label_agreement":null},{"id":"W2302892696","doi":"10.1016/j.ssci.2016.02.024","title":"Using a case study fatality to depict the limits of proximity detection systems for articulating, underground machinery","year":2016,"lang":"en","type":"article","venue":"Safety Science","topic":"Human-Automation Interaction and Safety","field":"Psychology","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":"Laurentian University","funders":"","keywords":"Poison control; Engineering; Forensic engineering; Human factors and ergonomics; Computer science; Transport engineering; Risk analysis (engineering); Medical emergency; Business; Medicine","score_opus":0.1313199652201948,"score_gpt":0.4368325903944586,"score_spread":0.3055126251742638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2302892696","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":[0.7938172,0.000007226915,0.20283137,0.00021988762,0.0011952104,0.00109089,0.000015020915,0.000045318466,0.00077783223],"genre_scores_gemma":[0.99933225,2.4302665e-7,0.00018645759,0.0000643617,0.00007289428,0.0000794236,2.2826832e-7,0.00000773022,0.00025640498],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983644,0.0002521211,0.0004608343,0.00036739916,0.00030016716,0.00025509496],"domain_scores_gemma":[0.9985148,0.00041205678,0.0002378491,0.00048196706,0.0002630047,0.00009033233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002137036,0.00010525285,0.00014760812,0.00012053287,0.0006649543,0.0000543831,0.00021022369,0.000034730812,0.000061918756],"category_scores_gemma":[0.000489095,0.000060394083,0.00005779342,0.0004006538,0.0001988214,0.00035562826,0.000054593977,0.000068373476,0.000024475621],"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":[0.0028756754,0.0045704413,0.21040823,0.00030465596,0.00061639684,0.00029022642,0.12617734,0.013762383,0.3334223,0.08773664,0.00040391902,0.21943177],"study_design_scores_gemma":[0.0045134714,0.0016569783,0.85147023,0.00022862131,0.00016346849,0.0036172464,0.059517406,0.07014705,0.00429064,0.0010733935,0.0024872043,0.0008342651],"about_ca_topic_score_codex":0.001396904,"about_ca_topic_score_gemma":0.0012006204,"teacher_disagreement_score":0.641062,"about_ca_system_score_codex":0.00018879748,"about_ca_system_score_gemma":0.00007305294,"threshold_uncertainty_score":0.5114358},"labels":[],"label_agreement":null},{"id":"W2399867496","doi":"10.1016/j.ssci.2016.05.004","title":"Risks of extreme and rare events in Asset Management","year":2016,"lang":"en","type":"article","venue":"Safety Science","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":88,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Desjardins; Université du Québec à Trois-Rivières; Hydro-Québec","funders":"","keywords":"Risk analysis (engineering); Asset (computer security); Risk management; Order (exchange); Asset management; Business; Rare events; Computer science; Process management; Computer security; Finance","score_opus":0.04297547094048625,"score_gpt":0.27799700727922855,"score_spread":0.2350215363387423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2399867496","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":[0.9560271,0.00009067141,0.0015831009,0.002148333,0.00036748624,0.00053322304,0.000003494161,0.000046246943,0.039200377],"genre_scores_gemma":[0.99886197,0.00017537564,0.00022373174,0.00025088218,0.000056047815,0.000011438071,9.940945e-7,0.000006086789,0.00041345926],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998523,0.000007194405,0.00025935777,0.00038954802,0.0004824019,0.0003385196],"domain_scores_gemma":[0.9994764,0.000031456002,0.00012851377,0.00028869658,0.00005848752,0.000016494634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009899236,0.00011504183,0.00013712294,0.00049781555,0.00013216225,0.00003214384,0.0004873092,0.000022734539,0.00012288417],"category_scores_gemma":[0.000065999,0.00007465106,0.000027757125,0.0010373811,0.00031453665,0.0012420373,0.0005257773,0.000037991904,0.00007154719],"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":[0.000053161297,0.000088640765,0.78769535,0.0001427317,0.000008468221,0.00001702925,0.000052971343,0.00005643233,0.0013854755,0.055585973,0.0003378203,0.15457597],"study_design_scores_gemma":[0.0006909743,0.0000079241145,0.97949666,0.00017819362,0.000010174525,6.528675e-7,0.00040700476,0.00049175747,0.0001114336,0.008013788,0.01043779,0.00015363628],"about_ca_topic_score_codex":0.00024770235,"about_ca_topic_score_gemma":0.000086025204,"teacher_disagreement_score":0.19180134,"about_ca_system_score_codex":0.000043636242,"about_ca_system_score_gemma":0.000014744358,"threshold_uncertainty_score":0.3044182},"labels":[],"label_agreement":null},{"id":"W2408940203","doi":"10.1016/j.ssci.2016.05.015","title":"The accident early warning system for iron and steel enterprises based on combination weighting and Grey Prediction Model GM (1, 1)","year":2016,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; Program for New Century Excellent Talents in University; National Natural Science Foundation of China","keywords":"Weighting; Warning system; Analytic hierarchy process; Hazard; Composite index; Early warning system; Engineering; Computer science; Statistics; Operations research; Mathematics; Composite indicator; Econometrics","score_opus":0.041174570472052106,"score_gpt":0.3908463748538496,"score_spread":0.3496718043817975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2408940203","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":[0.93859,0.00008566926,0.047985446,0.007800329,0.0007573545,0.0023905362,0.000077339304,0.00008966784,0.0022236796],"genre_scores_gemma":[0.99882936,0.00007458331,0.00034918415,0.000110840956,0.00007235795,0.00019722011,0.0000035108737,0.00000815043,0.00035475774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980462,0.00020544564,0.00035678854,0.0003304313,0.00057064113,0.000490459],"domain_scores_gemma":[0.996382,0.0027145932,0.00016189078,0.00019005185,0.00035660982,0.00019483107],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003988682,0.00008893744,0.000103826314,0.00011499881,0.0043123784,0.00003638374,0.0001760177,0.00006324832,0.0000028248928],"category_scores_gemma":[0.0009933094,0.000049550294,0.000017841428,0.00018337084,0.00023129975,0.00038939636,0.00009221372,0.00017026791,0.0000097239335],"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":[0.0022573837,0.000052885145,0.82595015,0.000657193,0.000004542148,5.7611913e-7,0.0020812976,0.0006214807,0.0026159124,0.04076665,0.00012230342,0.12486966],"study_design_scores_gemma":[0.0011203116,0.00024721058,0.6436639,0.0005721855,0.000003366178,4.7186435e-7,0.00036669036,0.3531533,0.00004720218,0.0005342768,0.0002319034,0.00005918867],"about_ca_topic_score_codex":0.000064103646,"about_ca_topic_score_gemma":0.000035007386,"teacher_disagreement_score":0.35253182,"about_ca_system_score_codex":0.0003703218,"about_ca_system_score_gemma":0.0005447187,"threshold_uncertainty_score":0.9969839},"labels":[],"label_agreement":null},{"id":"W2417158417","doi":"10.1016/j.ssci.2016.06.002","title":"Towards dynamic risk analysis: A review of the risk assessment approach and its limitations in the chemical process industry","year":2016,"lang":"en","type":"review","venue":"Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":281,"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":"Risk analysis (engineering); Risk assessment; Process safety; Process (computing); Risk management; Computer science; Engineering; Work in process; Management science; Operations management; Business; Computer security","score_opus":0.14435432049723934,"score_gpt":0.4549859127744663,"score_spread":0.310631592277227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2417158417","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":[0.00007801156,0.9886474,0.001197606,0.00129104,0.00007551028,0.0010567441,0.00032140955,0.000008679671,0.0073235887],"genre_scores_gemma":[0.012851538,0.98635536,0.00042400017,0.00008831926,0.000022882501,0.00012448356,0.000008505889,0.00000889784,0.000116000054],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9895742,0.0024534173,0.0021695404,0.0013103164,0.0040373527,0.00045520221],"domain_scores_gemma":[0.99160707,0.002891869,0.002637232,0.0019539313,0.00076263904,0.00014724581],"candidate_categories":["metaresearch","bibliometrics","open_science"],"consensus_categories":[],"category_scores_codex":[0.028484788,0.0004035089,0.002140583,0.0008518021,0.00061874103,0.00019745219,0.0058483053,0.00031845737,0.00005339266],"category_scores_gemma":[0.015623139,0.0001535038,0.0011469556,0.024375439,0.0012437543,0.00050178426,0.00060364004,0.0015169142,0.000014837744],"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":[0.0000017158794,0.000066104076,0.00047679138,0.0016613413,0.0001496654,5.823201e-7,0.0002742965,0.00006266457,1.7344632e-7,0.00059043727,0.00002502769,0.9966912],"study_design_scores_gemma":[0.0010582753,0.00015989991,0.10730558,0.10888837,0.038577907,0.00013812525,0.0064113885,0.04779377,0.0000038430708,0.060275394,0.6261156,0.0032718007],"about_ca_topic_score_codex":0.000030020114,"about_ca_topic_score_gemma":0.000047227248,"teacher_disagreement_score":0.9934194,"about_ca_system_score_codex":0.00019353499,"about_ca_system_score_gemma":0.0022807214,"threshold_uncertainty_score":0.99953055},"labels":[],"label_agreement":null},{"id":"W2516415954","doi":"10.1016/j.ssci.2016.06.017","title":"Characteristics of railway suicides in Canada and comparison with accidental railway fatalities: Implications for prevention","year":2016,"lang":"en","type":"article","venue":"Safety Science","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Accidental; Coroner; Suicide prevention; Injury prevention; Poison control; Occupational safety and health; Psychosocial; Human factors and ergonomics; Suicide methods; Environmental health; Medicine; Medical emergency; Forensic engineering; Psychiatry; Engineering","score_opus":0.03286299562111578,"score_gpt":0.32426660703797916,"score_spread":0.2914036114168634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2516415954","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":[0.9956659,0.000091662,0.0023294997,0.00073382526,0.0001469384,0.00030241834,0.00014133658,0.000008075463,0.0005803135],"genre_scores_gemma":[0.9993384,0.00002502773,0.00026677767,0.000053539614,0.000016393264,0.000050815914,0.0000056001363,0.0000050994154,0.000238369],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903727,0.00002463938,0.00029381725,0.00025838477,0.00013200301,0.00025389114],"domain_scores_gemma":[0.99919933,0.00030499772,0.00014597665,0.00019851391,0.00009957679,0.000051618692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003011367,0.00008441912,0.00019485765,0.00007513617,0.00013287627,0.000009999619,0.00019443457,0.000017902634,0.00004391841],"category_scores_gemma":[0.000093432645,0.000056835346,0.000016285247,0.00023323209,0.00034534337,0.0001643503,0.00004935549,0.00003296782,0.0000017079898],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010010853,0.000026112753,0.98058474,0.000009499225,0.000011450878,3.892951e-7,0.0009986904,4.1975633e-7,0.0020533367,0.003953675,0.00008200501,0.012179543],"study_design_scores_gemma":[0.00056261144,0.00008913152,0.99561715,0.000019856605,0.000009088598,0.0000046293567,0.0020707347,0.000004293948,0.0006592093,0.0006510486,0.00022500641,0.000087216344],"about_ca_topic_score_codex":0.18053181,"about_ca_topic_score_gemma":0.64348704,"teacher_disagreement_score":0.4629552,"about_ca_system_score_codex":0.00015263507,"about_ca_system_score_gemma":0.0003391604,"threshold_uncertainty_score":0.82492507},"labels":[],"label_agreement":null},{"id":"W2598849018","doi":"10.1016/j.ssci.2017.03.008","title":"Special Issue: Safety and integrity in harsh environments","year":2017,"lang":"en","type":"article","venue":"Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","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":"Memorial University of Newfoundland","funders":"","keywords":"Poison control; Occupational safety and health; Engineering; Forensic engineering; Injury prevention; Human factors and ergonomics; Risk analysis (engineering); Computer security; Transport engineering; Computer science; Medical emergency; Medicine","score_opus":0.06045613755155972,"score_gpt":0.37208114727016356,"score_spread":0.31162500971860385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598849018","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":[0.40908384,0.00020773044,0.004895996,0.041367676,0.004667618,0.0006576814,0.0001153258,0.000042802927,0.5389613],"genre_scores_gemma":[0.98836094,0.0010128055,0.0011217748,0.000220668,0.0009587388,0.0000020637476,0.0000012810302,0.000006205959,0.008315505],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9954613,0.00014244775,0.00073389994,0.0010243633,0.0021298083,0.0005081815],"domain_scores_gemma":[0.99728304,0.00035743247,0.00036787856,0.0016475038,0.000073130344,0.00027104287],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.009711114,0.00017686567,0.0004031106,0.00036500208,0.0020313081,0.00078982057,0.0030355349,0.00008979168,0.0015123093],"category_scores_gemma":[0.0057272506,0.0001326031,0.000095965755,0.0007873361,0.0028316865,0.0020605624,0.0010042757,0.00035538533,0.0008984341],"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":[0.000204581,0.00007782976,0.23852147,0.0000014683852,0.0000063984435,0.000029968689,0.0014280513,0.00018430853,0.00043459938,0.005449465,0.0019340987,0.75172776],"study_design_scores_gemma":[0.000315685,0.000020128366,0.7244106,0.000009365917,0.000004424367,0.0000037938612,0.00037007057,0.0019818547,0.00010500521,0.015210769,0.257425,0.00014331528],"about_ca_topic_score_codex":0.0003820236,"about_ca_topic_score_gemma":0.00093983696,"teacher_disagreement_score":0.7515845,"about_ca_system_score_codex":0.00014246634,"about_ca_system_score_gemma":0.00015767108,"threshold_uncertainty_score":0.99988204},"labels":[],"label_agreement":null},{"id":"W2605336663","doi":"10.1016/j.ssci.2017.03.011","title":"Sun Safety at Work Canada: Baseline evaluation of outdoor workplaces recruited to participate in a sun safety knowledge transfer and exchange intervention","year":2017,"lang":"en","type":"article","venue":"Safety Science","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Michael's Hospital; Public Health Ontario; Toronto Metropolitan University; University of Toronto; Occupational Cancer Research Centre; Cancer Care Ontario","funders":"Canadian Institutes of Health Research; Research Nova Scotia","keywords":"Occupational safety and health; Baseline (sea); Suicide prevention; Poison control; Injury prevention; Human factors and ergonomics; Intervention (counseling); Work (physics); Workplace safety; Medical emergency; Engineering; Medicine; Environmental health; Transport engineering; Forensic engineering; Political science; Nursing","score_opus":0.06521437815802547,"score_gpt":0.3323952742679492,"score_spread":0.2671808961099237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605336663","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":[0.9910439,0.00030569616,0.000658198,0.0036131726,0.00031041013,0.00096213986,0.00005213039,0.000013230268,0.0030411028],"genre_scores_gemma":[0.99824905,0.00012058859,0.00023819246,0.00014183072,0.00003036585,0.00003871836,0.000008511763,0.000010386599,0.0011623281],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969513,0.00028392507,0.00056914304,0.00063824735,0.00095734163,0.00060008833],"domain_scores_gemma":[0.9986927,0.00011463267,0.00015588125,0.00061240577,0.000082968036,0.00034140906],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008701695,0.00018616943,0.00029620284,0.00010937288,0.00066077296,0.000042478863,0.00058254675,0.00006549974,0.0011042283],"category_scores_gemma":[0.0004943914,0.0001695606,0.000044598113,0.00078041176,0.00064186606,0.0005255493,0.00041693557,0.00014245804,0.00005163185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071325694,0.00011462225,0.87922114,0.00004275754,0.0000054729767,0.0000029081232,0.0037860542,0.0010181641,0.0009507516,0.00004578696,0.0007778242,0.11332126],"study_design_scores_gemma":[0.0010802055,0.00009411192,0.98587406,0.00023206926,0.000025293233,0.000001289322,0.00019076554,0.0069778203,0.00032235403,0.00004002555,0.004959675,0.00020231714],"about_ca_topic_score_codex":0.2183965,"about_ca_topic_score_gemma":0.96529555,"teacher_disagreement_score":0.74689907,"about_ca_system_score_codex":0.0016285836,"about_ca_system_score_gemma":0.00031515732,"threshold_uncertainty_score":0.9998089},"labels":[],"label_agreement":null},{"id":"W2614047481","doi":"10.1016/j.ssci.2017.05.001","title":"Learning from accidents: Interactions between human factors, technology and organisations as a central element to validate risk studies","year":2017,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Risk analysis (engineering); Causation; Underpinning; Risk management; Risk assessment; Human factors and ergonomics; Human error; Poison control; Work (physics); Accident (philosophy); Checklist; Engineering; Computer science; Computer security; Business; Psychology","score_opus":0.15507341504622993,"score_gpt":0.5409321561566103,"score_spread":0.3858587411103803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614047481","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":[0.9851432,0.00003284745,0.00041545276,0.011216462,0.000514691,0.0007802258,0.00011229216,0.0000759371,0.0017088876],"genre_scores_gemma":[0.99824613,0.00018739964,0.00052175747,0.00010968419,0.00020139304,0.00006460237,0.000040156687,0.000010327458,0.000618527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99750966,0.00022913075,0.0004662778,0.00048257556,0.00051065447,0.0008017193],"domain_scores_gemma":[0.9974152,0.00086664344,0.0003325476,0.00052734715,0.0004433245,0.00041492257],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013253833,0.00013277041,0.00024006328,0.0003834827,0.016732706,0.000071433016,0.00067649124,0.0000751748,0.00032455145],"category_scores_gemma":[0.006463736,0.00011285327,0.000024002647,0.00046671001,0.00055019616,0.00067707634,0.001034592,0.00087101327,0.00026678972],"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":[0.000018942012,0.000012686208,0.9873306,0.00001153268,0.000018880544,7.3241745e-7,0.0049752216,0.000006505442,0.0005199569,0.002770729,0.000065225475,0.0042689634],"study_design_scores_gemma":[0.0003098395,0.0001298585,0.9745307,0.00010501246,0.000014436862,2.1882376e-7,0.01130974,0.000023506982,0.00019573691,0.004639874,0.0086341305,0.00010694446],"about_ca_topic_score_codex":0.0038537227,"about_ca_topic_score_gemma":0.0017620431,"teacher_disagreement_score":0.01618251,"about_ca_system_score_codex":0.0005340406,"about_ca_system_score_gemma":0.00070083136,"threshold_uncertainty_score":0.9845474},"labels":[],"label_agreement":null},{"id":"W2744758642","doi":"10.1016/j.ssci.2017.07.010","title":"Incorporating individual differences in human reliability analysis: An extension to the virtual experimental technique","year":2017,"lang":"en","type":"article","venue":"Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Canada Research Chairs","keywords":"Human reliability; Computer science; Reliability (semiconductor); Human error; Competence (human resources); Identification (biology); Data collection; Reliability engineering; Risk analysis (engineering); Virtual actor; Machine learning; Artificial intelligence; Data mining; Engineering; Virtual reality; Psychology","score_opus":0.11193518061881552,"score_gpt":0.4185156056680448,"score_spread":0.3065804250492293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2744758642","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":[0.98258287,0.000016147384,0.013097334,0.002588115,0.000165997,0.00037465052,0.000018534229,0.000030964395,0.0011253823],"genre_scores_gemma":[0.9969217,0.0000033339034,0.0026988403,0.00016816781,0.000058088535,0.000040256513,0.000003934845,0.0000048954475,0.000100760175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9935025,0.0005261351,0.0009819361,0.0014093209,0.0031103264,0.0004698087],"domain_scores_gemma":[0.99503255,0.0003939894,0.000596488,0.003321048,0.00036924105,0.00028668827],"candidate_categories":["sts","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.023405496,0.00021378446,0.0005133891,0.0009275247,0.0046574855,0.0014881035,0.006696538,0.000083224884,0.000098285396],"category_scores_gemma":[0.0048757503,0.00012439348,0.00019693,0.0043562776,0.0019121199,0.0020081582,0.0015113477,0.00029543103,0.000058352794],"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":[0.00012082886,0.00041674817,0.878053,9.330981e-7,0.00003860318,0.000018517652,0.008662659,0.009824098,0.04836005,0.011594219,0.00007071473,0.042839613],"study_design_scores_gemma":[0.000117063006,0.0002008171,0.9683581,0.000010649038,0.000031657808,0.0000016117068,0.0049747243,0.009296634,0.0045160917,0.0122167,0.00006599621,0.00020997753],"about_ca_topic_score_codex":0.001414729,"about_ca_topic_score_gemma":0.0028959136,"teacher_disagreement_score":0.09030506,"about_ca_system_score_codex":0.00011927962,"about_ca_system_score_gemma":0.00020853104,"threshold_uncertainty_score":0.99954844},"labels":[],"label_agreement":null},{"id":"W2747609707","doi":"10.1016/j.ssci.2017.08.002","title":"The one that got away: Lessons learned from the evaluation of a safety training intervention in the Australian prawn fishing industry","year":2017,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Occupational safety and health; Fishing; Intervention (counseling); Fishing industry; Engineering; Poison control; Injury prevention; Human factors and ergonomics; Suicide prevention; Work (physics); Training (meteorology); Effective safety training; Safety culture; Applied psychology; Transport engineering; Business; Environmental health; Psychology; Medicine; Public health; Nursing; Fishery; Health education; Management; Geography; Occupational health nursing","score_opus":0.6406145075632708,"score_gpt":0.5928771279645171,"score_spread":0.04773737959875368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747609707","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":[0.60771656,0.00014144588,0.00017276588,0.372824,0.0009658217,0.0024808615,0.00014477324,0.000018580777,0.015535183],"genre_scores_gemma":[0.9986464,0.000127232,0.00008130731,0.0003851088,0.00022860544,0.00015893295,0.000023368984,0.000008080862,0.00034100114],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9930212,0.0028042826,0.0007106057,0.00039279065,0.0022906333,0.0007805081],"domain_scores_gemma":[0.9931797,0.0042902003,0.0007036628,0.0011787983,0.0005170336,0.00013064672],"candidate_categories":["metaresearch","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.049153533,0.00012431564,0.00019257166,0.00006974498,0.010165228,0.000153609,0.002259353,0.00022375006,0.0002258927],"category_scores_gemma":[0.010522751,0.00006671208,0.0000772502,0.00049192435,0.001195687,0.00070158683,0.0003719297,0.0021707737,0.00003805928],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006464439,0.00010597697,0.18193018,0.000059353664,0.000017842587,0.0000011137421,0.03330291,0.0002478334,0.00021000204,0.016208258,0.00050609687,0.766764],"study_design_scores_gemma":[0.00089337636,0.000045223853,0.9582163,0.0004905977,0.000013907429,4.9483e-7,0.023927828,0.0032841484,0.00001930692,0.007930973,0.0051070093,0.00007082896],"about_ca_topic_score_codex":0.008575049,"about_ca_topic_score_gemma":0.015596504,"teacher_disagreement_score":0.7762861,"about_ca_system_score_codex":0.00041992433,"about_ca_system_score_gemma":0.002709102,"threshold_uncertainty_score":0.9980269},"labels":[],"label_agreement":null},{"id":"W2792237388","doi":"10.1016/j.ssci.2018.01.018","title":"Estimation of probability of harm in safety of machinery using an investigation systemic approach and Logical Analysis of Data","year":2018,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Harm; Accident (philosophy); Context (archaeology); Task (project management); Computer science; Poison control; Risk analysis (engineering); Data mining; Engineering; Medical emergency; Medicine; Psychology; Social psychology","score_opus":0.30266001226584355,"score_gpt":0.5112335379556551,"score_spread":0.20857352568981152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792237388","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":[0.9811075,0.000037975547,0.017281497,0.00007533486,0.00004119825,0.0008053379,0.00030022318,0.000005019896,0.00034593945],"genre_scores_gemma":[0.97427016,0.000015626236,0.025545448,0.000012990312,0.000014826746,0.0000057470816,0.00013007017,0.0000029518026,0.000002181537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99665385,0.0007132522,0.0012714567,0.0004024765,0.00069946644,0.00025948256],"domain_scores_gemma":[0.99723554,0.00062437105,0.0006553435,0.00068398216,0.00066209864,0.00013866063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010101642,0.00007890894,0.0004564949,0.0005184646,0.00023670797,0.0000018809415,0.00048767426,0.00009608346,0.000025258083],"category_scores_gemma":[0.0014799065,0.0000635104,0.00002534956,0.003182621,0.0016989923,0.00058196555,0.000313189,0.00018617214,4.2082578e-7],"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":[0.0005799634,0.00017224463,0.96221423,0.0019596326,0.000018059856,6.3773726e-8,0.0029631408,0.010497909,0.008535013,0.006487791,7.787021e-7,0.0065711746],"study_design_scores_gemma":[0.00017290021,0.000070861846,0.5279081,0.0001276562,0.000022300264,2.8868033e-7,0.00027288584,0.4707576,0.0001201768,0.0005191496,2.966657e-7,0.000027776781],"about_ca_topic_score_codex":0.0026382897,"about_ca_topic_score_gemma":0.00030380196,"teacher_disagreement_score":0.4602597,"about_ca_system_score_codex":0.00013598672,"about_ca_system_score_gemma":0.0015400879,"threshold_uncertainty_score":0.6260008},"labels":[],"label_agreement":null},{"id":"W2802394868","doi":"10.1016/j.ssci.2018.04.011","title":"Human error assessment during maintenance operations of marine systems – What are the effective environmental factors?","year":2018,"lang":"en","type":"article","venue":"Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland; University of Tasmania","keywords":"Human error; Poison control; Human factors and ergonomics; Injury prevention; Occupational safety and health; Engineering; Risk analysis (engineering); Computer science; Transport engineering; Reliability engineering; Environmental science; Forensic engineering; Business; Environmental health; Medicine","score_opus":0.03366805311214989,"score_gpt":0.35282157189781027,"score_spread":0.3191535187856604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802394868","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":[0.99344885,0.000066055516,0.0027571346,0.0008606792,0.00058324356,0.00040852153,0.0000316947,0.000014844237,0.0018289902],"genre_scores_gemma":[0.99854404,0.00005555646,0.00016936996,0.00003547138,0.000079901285,0.00001692088,0.0000030041467,0.0000056614226,0.0010900978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99610186,0.0002820019,0.0006351694,0.00064281287,0.0019771496,0.0003610384],"domain_scores_gemma":[0.99795485,0.00033906067,0.0003233786,0.00100688,0.00025497054,0.00012087172],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0039870674,0.00016098084,0.00031939603,0.00022124003,0.0021611077,0.0005187925,0.0016200702,0.00003924148,0.00029494797],"category_scores_gemma":[0.00046160407,0.000087244895,0.000142073,0.0014222693,0.0023924748,0.0016170291,0.0005726241,0.00015083907,0.00008054954],"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":[0.00009627768,0.00045921744,0.7531536,0.00002174185,0.00014359191,0.000014961895,0.010815869,0.038291745,0.15357201,0.019803312,0.00023041545,0.02339723],"study_design_scores_gemma":[0.00017876408,0.00008377801,0.96368885,0.0000349986,0.000015503125,0.0000049889013,0.020956514,0.011040554,0.0026959362,0.0008886523,0.00028636013,0.00012509452],"about_ca_topic_score_codex":0.00022987174,"about_ca_topic_score_gemma":0.0003584599,"teacher_disagreement_score":0.21053523,"about_ca_system_score_codex":0.00023293933,"about_ca_system_score_gemma":0.00008313759,"threshold_uncertainty_score":0.99913794},"labels":[],"label_agreement":null},{"id":"W2811339051","doi":"10.1016/j.ssci.2018.06.012","title":"Occupational health and safety in the industry 4.0 era: A cause for major concern?","year":2018,"lang":"en","type":"article","venue":"Safety Science","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":431,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Occupational safety and health; Poison control; Injury prevention; Human factors and ergonomics; Suicide prevention; Environmental health; Engineering; Forensic engineering; Business; Medical emergency; Transport engineering; Medicine","score_opus":0.04184422960910978,"score_gpt":0.3122137641730095,"score_spread":0.2703695345638997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811339051","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":[0.82867247,0.0002846564,0.036932353,0.009693219,0.00189107,0.0023737568,0.0006841711,0.00035427313,0.11911404],"genre_scores_gemma":[0.9984143,0.00001151047,0.00067038194,0.00073366944,0.00009607937,0.000024443947,0.000007640702,0.000006192824,0.000035797282],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990424,0.000012156259,0.00023854843,0.0001461837,0.00025283563,0.0003078765],"domain_scores_gemma":[0.9995639,0.000109455825,0.000025789976,0.00014927443,0.000058009387,0.00009360111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008459974,0.00008178737,0.00008077892,0.0000783986,0.00027378052,0.00007839783,0.0002688648,0.00007056358,0.000022383054],"category_scores_gemma":[0.00007943726,0.00006487282,0.000013055987,0.0005501578,0.0004968436,0.0006280335,0.00002127245,0.00023332045,0.000011731987],"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":[0.00088110566,0.00026486034,0.1426021,0.00085144426,0.000094815565,0.000009892375,0.07089893,0.01577596,0.000921575,0.4602069,0.02870663,0.2787858],"study_design_scores_gemma":[0.0036208723,0.0005074038,0.79243916,0.0003396701,0.000010285887,0.00011684097,0.008137234,0.038287163,0.001055295,0.005084169,0.14955686,0.00084500754],"about_ca_topic_score_codex":0.000015187963,"about_ca_topic_score_gemma":0.000043110736,"teacher_disagreement_score":0.6498371,"about_ca_system_score_codex":0.000120150726,"about_ca_system_score_gemma":0.00032500832,"threshold_uncertainty_score":0.26454365},"labels":[],"label_agreement":null},{"id":"W2883419353","doi":"10.1016/j.ssci.2018.07.010","title":"Literature review on the incentives and solutions for the bypassing of guards and protective devices on machinery","year":2018,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Incentive; Occupational safety and health; Human factors and ergonomics; Poison control; Computer security; Injury prevention; Suicide prevention; Engineering; Business; Transport engineering; Forensic engineering; Risk analysis (engineering); Medical emergency; Computer science; Medicine; Economics; Political science; Microeconomics; Law","score_opus":0.10223447650354466,"score_gpt":0.47985519936212095,"score_spread":0.3776207228585763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883419353","genre_codex":"commentary","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":[0.14538084,0.10661187,0.007336808,0.6570482,0.0023195867,0.034763135,0.0012040843,0.00010675791,0.045228682],"genre_scores_gemma":[0.9900185,0.0048207697,0.00020717083,0.0043600574,0.0001769413,0.00027778387,0.0000025790325,0.000004820726,0.00013138668],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985008,0.0003293601,0.0002219766,0.0002246653,0.00035622588,0.00036691953],"domain_scores_gemma":[0.99595356,0.0031242815,0.00012761282,0.00022372254,0.0004949806,0.00007581587],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0049150633,0.00007373547,0.00011610813,0.000057983092,0.0049648834,0.000016383037,0.00022097037,0.000039004044,0.000021555812],"category_scores_gemma":[0.0021860288,0.000033298053,0.000020890488,0.00059268717,0.0011608119,0.00014358446,0.00014299767,0.00035392333,0.000006655408],"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":[0.002224613,0.0001574238,0.018264163,0.007723748,0.000036673817,7.119475e-7,0.013556475,0.0000049990535,0.0007538942,0.5798361,0.003961127,0.37348008],"study_design_scores_gemma":[0.00040477962,0.0006412706,0.952508,0.010928804,0.000013206657,0.0000019585234,0.0008861189,0.002869107,0.000048702106,0.0061676847,0.02542582,0.00010458091],"about_ca_topic_score_codex":0.00004777064,"about_ca_topic_score_gemma":0.00009036061,"teacher_disagreement_score":0.9342438,"about_ca_system_score_codex":0.00005650929,"about_ca_system_score_gemma":0.00054017856,"threshold_uncertainty_score":0.9963305},"labels":[],"label_agreement":null},{"id":"W2885482579","doi":"10.1016/j.ssci.2018.08.011","title":"Examining bus driver behavior as a function of roadway features under daytime and nighttime lighting conditions: Driving simulator study","year":2018,"lang":"en","type":"article","venue":"Safety Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Daylight; Visibility; Driving simulator; Daytime; Simulation; Automotive engineering; Poison control; Transport engineering; Engineering; Environmental science; Meteorology; Atmospheric sciences; Geography; Physics","score_opus":0.010325235307178288,"score_gpt":0.24610047587623116,"score_spread":0.23577524056905286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885482579","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":[0.99378955,0.000120487726,0.0021797444,0.000014430469,0.00051285484,0.00030450366,0.000005351027,0.00021894142,0.0028541493],"genre_scores_gemma":[0.9993589,0.0000066899897,0.00030556688,0.000021335643,0.000088636705,0.000009423159,0.0000023539221,0.000018497794,0.00018863042],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99862653,0.000027724116,0.00027850582,0.00036296033,0.000382115,0.00032213918],"domain_scores_gemma":[0.99933565,0.00010163011,0.000064279746,0.00027209817,0.00012206864,0.00010425348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048428305,0.00016848148,0.00019289361,0.00018108758,0.0005312724,0.00005016411,0.00021692767,0.000066063054,0.00011394803],"category_scores_gemma":[0.00005960341,0.00014914075,0.000027874048,0.00058480265,0.0005386456,0.00050349266,0.00010431693,0.00015082494,0.000040473726],"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":[0.000195361,0.0010149274,0.31692007,0.00013064555,0.00035469857,0.000058349,0.03566326,0.20490965,0.34118482,0.008144001,0.00049469114,0.09092952],"study_design_scores_gemma":[0.00042876488,0.00026523686,0.9867177,0.00005058674,0.00005905327,0.000012132878,0.0019247296,0.00887644,0.0012709119,0.000057656987,0.0001293812,0.00020738097],"about_ca_topic_score_codex":0.00001592511,"about_ca_topic_score_gemma":0.000022108414,"teacher_disagreement_score":0.66979766,"about_ca_system_score_codex":0.00007166723,"about_ca_system_score_gemma":0.000064395375,"threshold_uncertainty_score":0.6081783},"labels":[],"label_agreement":null},{"id":"W2897684420","doi":"10.1016/j.ssci.2018.10.013","title":"Training leaders to apply behavioral concepts to improve safety","year":2018,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":28,"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":"Occupational safety and health; Context (archaeology); Intervention (counseling); Psychological intervention; Applied psychology; Human factors and ergonomics; Poison control; Injury prevention; Quarter (Canadian coin); Engineering; Psychology; Suicide prevention; Behavioural sciences; Medical education; Medicine; Medical emergency; Psychiatry","score_opus":0.21809382742623623,"score_gpt":0.5630745769311222,"score_spread":0.34498074950488594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897684420","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":[0.6509049,0.000044722376,0.02470288,0.060147982,0.010377902,0.011017753,0.0006406883,0.0005063472,0.24165685],"genre_scores_gemma":[0.9821817,0.000004393752,0.005627658,0.008343391,0.0009609911,0.00024028948,0.000011545138,0.00002263884,0.00260737],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99493474,0.00023308455,0.0007221355,0.0008387712,0.0012880266,0.0019832156],"domain_scores_gemma":[0.99618244,0.0005322314,0.00010731729,0.0006034041,0.0009378263,0.0016367851],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0043619145,0.00019791043,0.00029956974,0.00033844163,0.004003862,0.000023755547,0.00095046195,0.00013777944,0.0011648604],"category_scores_gemma":[0.0011546283,0.00017802799,0.000053922082,0.0022519417,0.0012251228,0.0003870818,0.0004389883,0.0006312998,0.0060999407],"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":[0.0032620158,0.00015803003,0.031389926,0.00016056489,0.000008334146,0.000010057904,0.12952107,0.00007804402,0.021654805,0.02373916,0.0056150607,0.7844029],"study_design_scores_gemma":[0.0016277632,0.0023715831,0.5351864,0.0003072319,0.000009063253,0.0000035580294,0.035315823,0.00067871454,0.00065220916,0.0005240067,0.42265296,0.00067068],"about_ca_topic_score_codex":0.00085145066,"about_ca_topic_score_gemma":0.00084901915,"teacher_disagreement_score":0.78373224,"about_ca_system_score_codex":0.0007420083,"about_ca_system_score_gemma":0.0042605796,"threshold_uncertainty_score":0.99974823},"labels":[],"label_agreement":null},{"id":"W2913769801","doi":"10.1016/j.ssci.2019.01.014","title":"A review of cold exposure and manual performance: Implications for safety, training and performance","year":2019,"lang":"en","type":"review","venue":"Safety Science","topic":"Sports Performance and Training","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Task (project management); Human factors and ergonomics; Applied psychology; Cognition; Motor skill; Poison control; Computer science; Risk analysis (engineering); Psychology; Engineering; Medicine; Systems engineering; Developmental psychology","score_opus":0.08992925323565207,"score_gpt":0.38214894693193463,"score_spread":0.29221969369628253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913769801","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":[0.0009846381,0.99423784,0.000018331553,0.00015851262,0.00014339336,0.002367229,0.000078420744,0.00002860222,0.0019830032],"genre_scores_gemma":[0.004269134,0.9938211,0.0009102315,0.00034232513,0.000105791485,0.00014288626,0.00007985706,0.00003197297,0.0002966898],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975931,0.000007869227,0.0009467258,0.00064972485,0.00031359188,0.0004889599],"domain_scores_gemma":[0.99836344,0.000099826306,0.0005165446,0.0005804662,0.00024423684,0.000195477],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001921627,0.00035148373,0.0017609406,0.00028954746,0.00036537848,0.000020325106,0.0002921484,0.00014562948,0.000015467773],"category_scores_gemma":[0.000073862866,0.00026867696,0.00017681834,0.0008386931,0.00069502793,0.00040880524,0.00013383232,0.00031549702,0.0000058446176],"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":[0.000019656518,0.000013237654,0.002172032,0.16582385,0.000024976209,2.7818226e-7,0.000179934,1.8168906e-7,0.0000020262257,0.00037441123,0.000029146175,0.8313603],"study_design_scores_gemma":[0.00055089366,0.00064090954,0.021329235,0.16623633,0.00080354046,0.0003726275,0.000061159706,0.00007106761,0.0000032413736,0.0000029040293,0.8096267,0.00030138512],"about_ca_topic_score_codex":0.0000012611582,"about_ca_topic_score_gemma":4.130588e-7,"teacher_disagreement_score":0.83105886,"about_ca_system_score_codex":0.000085295476,"about_ca_system_score_gemma":0.0013740892,"threshold_uncertainty_score":0.9999765},"labels":[],"label_agreement":null},{"id":"W2929525957","doi":"10.1016/j.ssci.2019.03.016","title":"How are leaders using benchmarking information in occupational health and safety decision-making?","year":2019,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Institute for Work & Health","funders":"","keywords":"Benchmarking; Thematic analysis; Occupational safety and health; Knowledge management; Conceptual framework; Best practice; Human factors and ergonomics; Poison control; Business; Qualitative research; Medicine; Computer science; Environmental health; Management; Marketing; Sociology","score_opus":0.07960257193048212,"score_gpt":0.46391347879237754,"score_spread":0.3843109068618954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2929525957","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":[0.9671546,0.00025821602,0.014478647,0.009939185,0.0016708613,0.002806609,0.00011499391,0.000055884237,0.0035209693],"genre_scores_gemma":[0.9886918,0.000111703586,0.008257411,0.0027356409,0.00010627892,0.000019893774,0.00002948617,0.0000079105885,0.00003988524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99623346,0.00026812777,0.0007695939,0.00040078486,0.0012280172,0.0011000317],"domain_scores_gemma":[0.99682987,0.0016376883,0.00042162425,0.00030919342,0.00041697518,0.0003846406],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004969938,0.00015189992,0.00028720987,0.00065691397,0.0020867472,0.00005752023,0.0003239551,0.00012281028,0.00016080732],"category_scores_gemma":[0.0017349102,0.00013811205,0.00003097728,0.0015326926,0.00034375134,0.0022740182,0.0002776553,0.0006490275,0.00011177159],"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":[0.0007783853,0.000015845168,0.9138982,0.00031846,0.0000015999942,7.1581115e-7,0.0029688934,0.00095059554,0.0000118317475,0.0039210054,0.00006288684,0.07707154],"study_design_scores_gemma":[0.0008133349,0.000080792604,0.94842964,0.0009892909,6.71976e-7,0.0000033383385,0.0066393903,0.037061423,3.9710997e-7,0.00063807727,0.0052008354,0.00014281855],"about_ca_topic_score_codex":0.00032056894,"about_ca_topic_score_gemma":0.0003655768,"teacher_disagreement_score":0.07692873,"about_ca_system_score_codex":0.0011998524,"about_ca_system_score_gemma":0.0053549656,"threshold_uncertainty_score":0.9992124},"labels":[],"label_agreement":null},{"id":"W2946879106","doi":"10.1016/j.ssci.2019.05.017","title":"Analysis of fishing vessel capsizing causes and links to operator stability training","year":2019,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Ocean Frontier Institute; Memorial University of Newfoundland; Mitacs","keywords":"Fishing; Crew; Operator (biology); Engineering; Training (meteorology); Marine engineering; Aeronautics; Fishery; Geography; Meteorology","score_opus":0.12700024100493693,"score_gpt":0.4710926053159638,"score_spread":0.34409236431102685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946879106","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":[0.99180025,0.000043310698,0.00023996865,0.002672955,0.00027147983,0.0007171793,0.00008786528,0.000020162259,0.0041468423],"genre_scores_gemma":[0.998109,0.00002331392,0.0009307776,0.00077309314,0.00003867556,0.00002256842,0.000007338895,0.0000055424603,0.0000896917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99747765,0.00023822585,0.00052594644,0.000449358,0.00067713,0.00063169183],"domain_scores_gemma":[0.9971043,0.0014815102,0.000108771404,0.0003761084,0.00050963665,0.00041969615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005361851,0.00008905279,0.000339634,0.00041239284,0.0009739157,0.00001636636,0.00032521714,0.00010523242,0.00047394077],"category_scores_gemma":[0.0018975262,0.00007531726,0.00003978653,0.0029210746,0.00021897092,0.00037626302,0.00024391213,0.000527646,0.000051674477],"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":[0.00010056054,0.000014942598,0.9735346,0.00016351561,0.00001849437,3.552055e-7,0.013157294,0.0002848013,0.005722751,0.0013846743,0.000011690453,0.005606359],"study_design_scores_gemma":[0.00019074338,0.00006861537,0.9882214,0.00008141094,0.000018025525,1.293903e-7,0.005152447,0.005030624,0.00013581009,0.000039916824,0.0009780735,0.00008277618],"about_ca_topic_score_codex":0.0010797858,"about_ca_topic_score_gemma":0.000655618,"teacher_disagreement_score":0.014686866,"about_ca_system_score_codex":0.00018979043,"about_ca_system_score_gemma":0.0019222787,"threshold_uncertainty_score":0.74906707},"labels":[],"label_agreement":null},{"id":"W2949228618","doi":"10.1016/j.ssci.2019.06.009","title":"An open multi-physics framework for modelling wildland-urban interface fire evacuations","year":2019,"lang":"en","type":"article","venue":"Safety Science","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":false,"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; National Institute of Standards and Technology; U.S. Department of Commerce; Fire Protection Research Foundation; Lunds Universitet; Imperial College London","keywords":"Wildland–urban interface; Vulnerability (computing); Timeline; Population; Poison control; Transport engineering; Firefighting; Computer science; Engineering; Environmental resource management; Environmental science; Geography; Cartography; Computer security","score_opus":0.025139485117689302,"score_gpt":0.3037752043840659,"score_spread":0.2786357192663766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949228618","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":[0.36170354,0.000012602526,0.6350874,0.00017660775,0.0004944026,0.001397725,0.000028644306,0.000055279845,0.0010438631],"genre_scores_gemma":[0.9042072,0.000002847811,0.09516741,0.00015200219,0.000049130045,0.00005129877,0.000005938456,0.000019493207,0.0003446523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804467,0.000051373925,0.00023758356,0.00074214843,0.00044804165,0.0004761761],"domain_scores_gemma":[0.9986637,0.00019406785,0.00012342345,0.00080312026,0.000028886232,0.00018677503],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012788476,0.0001643701,0.00019032291,0.000021957963,0.00051621546,0.00024581442,0.0020163883,0.00006862466,0.00024255767],"category_scores_gemma":[0.00010218922,0.0001487827,0.00003983433,0.0006587397,0.00027534488,0.001973063,0.0004892157,0.0001565773,0.0010045618],"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":[0.000068278685,0.00025483692,0.04610392,0.000027124881,0.0000071258282,5.601336e-7,0.002673089,0.91444075,0.016253859,0.004368321,0.00024375375,0.015558397],"study_design_scores_gemma":[0.00030735543,0.00018070806,0.0061858697,0.00006439454,0.0000049600058,0.000001300703,0.0000963736,0.9881154,0.0010466337,0.002221271,0.0015413298,0.00023441848],"about_ca_topic_score_codex":0.00062301575,"about_ca_topic_score_gemma":0.00006222737,"teacher_disagreement_score":0.5425037,"about_ca_system_score_codex":0.0003003942,"about_ca_system_score_gemma":0.00006390206,"threshold_uncertainty_score":0.99977326},"labels":[],"label_agreement":null},{"id":"W2950419939","doi":"10.1016/j.ssci.2019.05.046","title":"Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories","year":2019,"lang":"en","type":"article","venue":"Safety Science","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":335,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Laurentian University; Centre for Excellence in Mining Innovation","funders":"Natural Science Foundation of Hunan Province; China Postdoctoral Science Foundation; Central South University; Natural Science Foundation of Hainan Province; National Natural Science Foundation of China","keywords":"Boosting (machine learning); Gradient boosting; Poison control; Stability (learning theory); Forensic engineering; Engineering; Failure mode and effects analysis; Computer science; Mode (computer interface); Data mining; Database; Structural engineering; Artificial intelligence; Machine learning; Medicine; Medical emergency; Random forest","score_opus":0.014532304015117145,"score_gpt":0.22337624179527593,"score_spread":0.20884393778015878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950419939","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":[0.37687352,0.000021532653,0.62222415,0.000013667798,0.00012398705,0.00022164517,0.00028211164,0.00016380378,0.00007557097],"genre_scores_gemma":[0.9686315,6.0981847e-7,0.031182602,0.000006653312,0.000014568259,0.000006265655,0.00014120377,0.000014533236,0.0000020389205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988353,0.000016169664,0.00026158514,0.00035014152,0.00027952113,0.0002572384],"domain_scores_gemma":[0.9991544,0.000030392212,0.00004308262,0.0005390865,0.00012267183,0.00011034855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007914221,0.00013419012,0.00018913206,0.00015331109,0.00014231895,0.000017785569,0.00019979487,0.000045306926,0.00001335811],"category_scores_gemma":[0.00012213254,0.00012727061,0.000060563038,0.00069195154,0.00009921554,0.00030108716,0.000027752889,0.00013554994,4.924931e-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":[0.0000102413405,0.000034133704,0.00015331397,0.00012076195,0.000005623414,0.0000019724828,0.000080051774,0.9226952,0.07654929,0.000107101594,0.0000023377477,0.00023993682],"study_design_scores_gemma":[0.00020550906,0.000051284085,0.00012050872,0.00002303084,0.000029606192,0.000012782868,0.0001005248,0.99433297,0.0048610386,0.000010203932,0.00012547131,0.00012705372],"about_ca_topic_score_codex":0.00013038839,"about_ca_topic_score_gemma":0.0000079725,"teacher_disagreement_score":0.591758,"about_ca_system_score_codex":0.00023722555,"about_ca_system_score_gemma":0.00005353377,"threshold_uncertainty_score":0.5189945},"labels":[],"label_agreement":null},{"id":"W2956140667","doi":"10.1016/j.ssci.2019.06.024","title":"Patient and family perspectives in resilient healthcare studies: A question of morality or logic?","year":2019,"lang":"en","type":"article","venue":"Safety Science","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute for Health and Care Research; Universitetet i Stavanger","keywords":"Argument (complex analysis); Extant taxon; Psychological resilience; Health care; Empirical research; Perspective (graphical); Morality; Empirical evidence; Psychology; Public relations; Sociology; Medicine; Social psychology; Epistemology; Political science; Law","score_opus":0.17805467004709014,"score_gpt":0.47529626851026674,"score_spread":0.2972415984631766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956140667","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":[0.9891416,0.007984869,0.00001818994,0.0016753438,0.000084958214,0.00030352737,0.000008811307,0.0000075130006,0.00077519973],"genre_scores_gemma":[0.9955691,0.002924205,0.0013010824,0.00015337567,0.000007761699,0.0000032719129,7.587336e-7,0.0000020049404,0.000038426333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989947,0.000053809854,0.00023427453,0.00025520485,0.0003194713,0.00014254902],"domain_scores_gemma":[0.99920046,0.00010746605,0.00009523834,0.00017519401,0.0003643246,0.00005730131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000564638,0.00006659239,0.00026262712,0.00010647246,0.00003082098,0.0000020406042,0.000056349367,0.000024157232,0.0000056675667],"category_scores_gemma":[0.0007632153,0.000044335553,0.0000202942,0.0004802212,0.00051931257,0.0000955032,0.00006259951,0.00006857894,0.0000018553977],"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":[0.0012156632,0.00020506752,0.8770424,0.0006534909,0.000018716273,0.000012078603,0.083716996,0.00005939914,0.012496625,0.01604731,0.000032388518,0.008499847],"study_design_scores_gemma":[0.0006448926,0.0013118557,0.8823976,0.0016247833,0.0000072845687,0.000002391892,0.11029327,0.00012626061,0.0025424385,0.000659496,0.00031561297,0.00007413126],"about_ca_topic_score_codex":0.000556228,"about_ca_topic_score_gemma":0.00009791612,"teacher_disagreement_score":0.02657627,"about_ca_system_score_codex":0.00017806317,"about_ca_system_score_gemma":0.00020792206,"threshold_uncertainty_score":0.19134288},"labels":[],"label_agreement":null},{"id":"W2965122220","doi":"10.1016/j.ssci.2019.07.030","title":"Forgetting of marine emergency duties tasks: Predictors of relearning","year":2019,"lang":"en","type":"article","venue":"Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crew; Forgetting; Task (project management); Applied psychology; Psychology; Cognitive psychology; Aeronautics; Engineering","score_opus":0.025062999299109164,"score_gpt":0.3256194761020594,"score_spread":0.3005564768029502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965122220","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":[0.9269394,0.00012867722,0.0014994752,0.00046654095,0.00079228624,0.00013431227,0.000011648043,0.000021111116,0.070006534],"genre_scores_gemma":[0.9955683,0.00023268384,0.0013957084,0.000010989234,0.000030515608,9.630558e-7,0.0000014201327,0.0000053587387,0.0027540794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952284,0.000117203526,0.0012227613,0.00054110197,0.002539455,0.00035104345],"domain_scores_gemma":[0.99695003,0.00051608635,0.00080082787,0.00087290525,0.0007517715,0.0001083571],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0074765016,0.00012214827,0.00042819965,0.00055386184,0.00023903303,0.000025947058,0.0016284529,0.000048134665,0.002676134],"category_scores_gemma":[0.0049541104,0.00008850477,0.0002143078,0.004352571,0.00059465494,0.00077042414,0.00057923247,0.0001370582,0.00013358147],"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":[0.000043741908,0.000027806112,0.9356276,0.000013374466,0.000015167001,5.938792e-7,0.0013469149,0.005816108,0.01561713,0.0054723537,0.0001184089,0.035900816],"study_design_scores_gemma":[0.00031604082,0.0002157078,0.9281277,0.000047053676,0.000031307154,0.000004262865,0.0051239813,0.01843429,0.010737104,0.031247282,0.0054540355,0.00026120926],"about_ca_topic_score_codex":0.00016727996,"about_ca_topic_score_gemma":0.000031328167,"teacher_disagreement_score":0.06862886,"about_ca_system_score_codex":0.000029760417,"about_ca_system_score_gemma":0.00020838164,"threshold_uncertainty_score":0.9982356},"labels":[],"label_agreement":null},{"id":"W2967357585","doi":"10.1016/j.ssci.2019.08.009","title":"A holistic assessment tool to estimate the probability of bypassing safeguards on machinery","year":2019,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Incentive; Risk analysis (engineering); Work (physics); Occupational safety and health; Business; Process management; Operations management; Transport engineering; Computer science; Engineering; Economics; Medicine","score_opus":0.08931008794242473,"score_gpt":0.5427623454996034,"score_spread":0.4534522575571787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967357585","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":[0.9087866,0.000010410075,0.0020310844,0.01277097,0.0011347007,0.0033326794,0.00008121943,0.000041933105,0.07181043],"genre_scores_gemma":[0.9941429,0.000003002594,0.0038971768,0.00112619,0.00007698243,0.00011911081,0.000005620975,0.0000087964245,0.0006202089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963622,0.00042108513,0.00061141764,0.00045163208,0.0013750374,0.00077859417],"domain_scores_gemma":[0.9965278,0.0017911855,0.00016819214,0.0007861863,0.0004844472,0.00024222519],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0076424344,0.00012427119,0.00023701206,0.00014172595,0.0014723598,0.00001646445,0.0006778697,0.00006011589,0.00045134226],"category_scores_gemma":[0.0018783368,0.00007628053,0.000048025784,0.0011415408,0.0003575098,0.00018065664,0.0003243889,0.00062305026,0.0005675842],"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":[0.0012903396,0.000282784,0.5926569,0.0009910341,0.000008642046,0.0000018464464,0.0017641546,0.0073869573,0.0034665922,0.30778998,0.00047205694,0.08388867],"study_design_scores_gemma":[0.00034479858,0.00025070502,0.9834663,0.00020495126,0.0000025343957,5.811095e-7,0.00012653934,0.008875056,0.000025738285,0.003475874,0.0031341414,0.00009276316],"about_ca_topic_score_codex":0.00032217187,"about_ca_topic_score_gemma":0.00006619252,"teacher_disagreement_score":0.3908094,"about_ca_system_score_codex":0.0006352305,"about_ca_system_score_gemma":0.0040636747,"threshold_uncertainty_score":0.99982756},"labels":[],"label_agreement":null},{"id":"W2972856615","doi":"10.1016/j.ssci.2019.08.017","title":"Employment-related mobility, regulatory weakness and potential fatigue-related safety concerns in short-sea seafaring on Canada’s Great Lakes and St. Lawrence Seaway: Canadian seafarers’ experiences","year":2019,"lang":"en","type":"article","venue":"Safety Science","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland; Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs; European Commission","keywords":"Occupational safety and health; Work (physics); Human factors and ergonomics; Government (linguistics); Poison control; Suicide prevention; Statute; Injury prevention; Business; Engineering; Environmental health; Political science; Medicine; Law","score_opus":0.009423553655536406,"score_gpt":0.22222893097079074,"score_spread":0.21280537731525434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972856615","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":[0.9888924,0.00015383758,0.000026659323,0.00032894037,0.0006937047,0.0005279097,0.00010043712,0.00010859713,0.009167512],"genre_scores_gemma":[0.9994822,0.00006637627,0.000023054901,0.000098303164,0.000013644148,0.000015906297,0.00003253708,0.000020892849,0.00024704885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973115,0.000057552978,0.000506736,0.00071364554,0.00067797734,0.00073262677],"domain_scores_gemma":[0.9988117,0.000082106766,0.000036574736,0.00041229595,0.0000887302,0.00056859065],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000801906,0.00029581797,0.00032580522,0.00023910211,0.00042386175,0.000103231825,0.00039782005,0.00015055628,0.00033797775],"category_scores_gemma":[0.00005101979,0.00030247244,0.000031076506,0.000793885,0.0006421704,0.00053307426,0.00011267772,0.000376599,0.0000054386746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016510811,0.00006860635,0.7588011,0.0002986477,0.00010270588,0.00019778976,0.019410191,0.17059699,0.0042216415,0.01569036,0.00033710318,0.030109748],"study_design_scores_gemma":[0.001067734,0.00007636964,0.8229856,0.00021211409,0.000013961297,0.000038471248,0.003818181,0.16893733,0.0005766536,0.00018966779,0.0012886949,0.0007952534],"about_ca_topic_score_codex":0.36050275,"about_ca_topic_score_gemma":0.8270918,"teacher_disagreement_score":0.4665891,"about_ca_system_score_codex":0.00090048666,"about_ca_system_score_gemma":0.0011761946,"threshold_uncertainty_score":0.9999427},"labels":[],"label_agreement":null},{"id":"W2975224534","doi":"10.1016/j.ssci.2019.08.020","title":"Fairness and efficiency in pedestrian emergency evacuation: Modeling and simulation","year":2019,"lang":"en","type":"article","venue":"Safety Science","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Motor Association Foundation for Traffic Safety","keywords":"Pedestrian; Poison control; Transport engineering; Emergency evacuation; Computer science; Human factors and ergonomics; Engineering; Medical emergency; Simulation; Medicine; Geography","score_opus":0.01044771723885079,"score_gpt":0.25485770665916957,"score_spread":0.24440998942031877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975224534","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":[0.9151469,0.000132782,0.08158357,0.000048733273,0.00018812252,0.00012402362,0.000001057946,0.000044425764,0.0027304082],"genre_scores_gemma":[0.99959725,0.000099215686,0.00024332304,0.000006968775,0.000009934048,0.0000015591826,0.0000014233323,0.000004830109,0.000035496865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993437,0.000007367066,0.00016284734,0.00017037387,0.00017497552,0.00014074252],"domain_scores_gemma":[0.9997783,0.000020084068,0.000013825439,0.00010103739,0.00004001656,0.00004675776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004063805,0.000063534135,0.000064584696,0.000115062474,0.00007446951,0.000027607273,0.00007927417,0.00002733261,0.00003094737],"category_scores_gemma":[0.000044859244,0.00006474455,0.0000069781427,0.00047567085,0.00003697038,0.00039697165,0.000026113374,0.000058446156,0.000011167444],"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":[0.0000020411435,0.0000026666248,0.010152625,0.000015619557,3.3112423e-7,1.0772955e-7,0.0004090638,0.98477167,0.00076730235,0.0011516792,1.9647649e-7,0.0027266722],"study_design_scores_gemma":[0.0001659303,0.000008026848,0.035594378,0.000010517033,0.0000011150231,7.3503855e-7,0.00014549258,0.9631911,0.000014023176,0.0007713986,0.000015929341,0.00008135023],"about_ca_topic_score_codex":0.000009667487,"about_ca_topic_score_gemma":0.000027585525,"teacher_disagreement_score":0.08445037,"about_ca_system_score_codex":0.000040911502,"about_ca_system_score_gemma":0.000026498681,"threshold_uncertainty_score":0.26402062},"labels":[],"label_agreement":null},{"id":"W2981207057","doi":"10.1016/j.ssci.2019.104510","title":"A hybrid model to improve the train running time prediction ability during high-speed railway disruptions","year":2019,"lang":"en","type":"article","venue":"Safety Science","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":56,"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":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Support vector machine; Benchmark (surveying); Train; Machine learning; Computer science; Predictive modelling; Kalman filter; Artificial intelligence; Data mining; Simulation","score_opus":0.005028233187755179,"score_gpt":0.19672990219506944,"score_spread":0.19170166900731428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981207057","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":[0.9810277,0.000019034223,0.01133983,0.00020711565,0.00080997276,0.00040052834,0.000051178256,0.00030259864,0.0058420184],"genre_scores_gemma":[0.9985112,0.0000029273472,0.00039264644,0.000023797671,0.00009317176,0.00001894075,0.0000028839304,0.00001807713,0.00093638076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983401,0.000015182895,0.00030303383,0.0004195251,0.00043206717,0.0004901303],"domain_scores_gemma":[0.9991311,0.000033125696,0.00003325356,0.00059056864,0.00006157358,0.00015038032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010002082,0.00015734824,0.00015855282,0.00010887452,0.00044627071,0.00008404265,0.0004992262,0.000033973105,0.000051157305],"category_scores_gemma":[0.000056012963,0.00011794963,0.00006146393,0.0005971737,0.00014922349,0.0004542628,0.00008944525,0.0001581576,0.00024815847],"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":[0.000004702373,0.0000066360167,0.00010366278,0.00001137596,0.0000024033852,2.6697697e-7,0.0005194674,0.6629726,0.3353674,0.00046412268,0.000014211073,0.0005331416],"study_design_scores_gemma":[0.00018838356,0.00002930446,0.03256925,0.000028536457,0.000004044035,0.0000070095084,0.0000798064,0.96088034,0.0057000457,0.0001404453,0.00021362938,0.0001592138],"about_ca_topic_score_codex":0.00006279873,"about_ca_topic_score_gemma":0.0000048556794,"teacher_disagreement_score":0.32966736,"about_ca_system_score_codex":0.00024811534,"about_ca_system_score_gemma":0.000071471586,"threshold_uncertainty_score":0.48098463},"labels":[],"label_agreement":null},{"id":"W2991554864","doi":"10.1016/j.ssci.2019.104527","title":"Critical review of the role of PPE in the prevention of risks related to agricultural pesticide use","year":2019,"lang":"en","type":"article","venue":"Safety Science","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","cited_by":157,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de Santé Publique du Québec","funders":"","keywords":"Authorization; Personal protective equipment; Risk analysis (engineering); Marketing; Business; Psychological intervention; Operations management; Computer security; Medicine; Engineering; Computer science; Nursing; Coronavirus disease 2019 (COVID-19)","score_opus":0.029233409801174916,"score_gpt":0.2888808269271176,"score_spread":0.2596474171259427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991554864","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":[0.9949824,0.0005169298,0.0000013728526,0.0016566552,0.000065325265,0.00035340132,0.000014523312,0.0000036681665,0.0024057],"genre_scores_gemma":[0.9996206,0.00010940515,0.0000567909,0.00016055854,0.000007635739,0.0000028602667,0.00000168896,2.1332376e-7,0.00004022947],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986954,0.0001631367,0.00036736234,0.0001715748,0.0004373258,0.00016520034],"domain_scores_gemma":[0.99907386,0.0004600787,0.00013530816,0.00011714469,0.0001787352,0.00003487447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012358042,0.00006486172,0.0001706902,0.000009803351,0.00006569422,0.000009311281,0.0006315953,0.00003246892,0.00008758112],"category_scores_gemma":[0.0015976174,0.00001700935,0.00008533576,0.0013673708,0.00028145348,0.00019880365,0.000110914036,0.00009680279,0.0000074125014],"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":[0.00002298898,0.0001640247,0.14844455,0.0001250031,0.0000031195025,3.1819863e-7,0.00029491834,0.000057752513,0.82549006,0.013670073,0.000044429267,0.011682749],"study_design_scores_gemma":[0.000030701896,0.00017107348,0.98348033,0.0008488187,0.000008831806,0.0000036063036,0.0001866891,0.000021806498,0.013380818,0.0015763816,0.00024565106,0.00004530624],"about_ca_topic_score_codex":0.0003133552,"about_ca_topic_score_gemma":0.00011045939,"teacher_disagreement_score":0.83503574,"about_ca_system_score_codex":0.0000126789155,"about_ca_system_score_gemma":0.000029683939,"threshold_uncertainty_score":0.19126126},"labels":[],"label_agreement":null},{"id":"W3003623098","doi":"10.1016/j.ssci.2020.104623","title":"Rescuer, decision maker, and breadwinner: Women’s predominant leadership across the post-Wenchuan earthquake efforts in rural areas, Sichuan, China","year":2020,"lang":"en","type":"article","venue":"Safety Science","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Department of Science and Technology of Sichuan Province","keywords":"China; Livelihood; Gender equity; Community resilience; Equity (law); Emergency management; Disaster mitigation; Political science; Economic growth; Business; Public relations; Resource (disambiguation); Geography; Environmental planning","score_opus":0.01830131966519646,"score_gpt":0.2799891592240471,"score_spread":0.26168783955885067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003623098","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":[0.9728655,0.0002793855,0.00007610517,0.018912079,0.00035345988,0.0005621494,0.000007814397,0.000057355614,0.006886104],"genre_scores_gemma":[0.997324,0.00019078157,0.00008330879,0.0013311243,0.00011820951,0.00002049916,0.0000012718608,0.000008454847,0.0009223795],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9965927,0.00015919765,0.00034138397,0.000604643,0.0011514626,0.0011506095],"domain_scores_gemma":[0.9989099,0.00018624043,0.00011107721,0.00033890601,0.000079296515,0.0003745645],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0033530612,0.00019068044,0.00021627289,0.00008209702,0.0016806759,0.00047673687,0.0012655841,0.000068584624,0.00012784333],"category_scores_gemma":[0.00088030304,0.00012922064,0.00005317547,0.00170648,0.0027435552,0.0010115048,0.00048877933,0.0002363232,0.00006597295],"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":[0.0006120393,0.00012267572,0.07010093,0.000053035357,0.000009582773,0.000057741323,0.44534743,0.00024461217,0.0009471293,0.016144898,0.00072295195,0.46563697],"study_design_scores_gemma":[0.00062342425,0.00015905962,0.85098445,0.00010718683,0.00000483454,0.0000037987359,0.1279481,0.00067741977,0.000040764953,0.0012536674,0.017905166,0.00029213534],"about_ca_topic_score_codex":0.0009696496,"about_ca_topic_score_gemma":0.004053991,"teacher_disagreement_score":0.7808835,"about_ca_system_score_codex":0.00013632933,"about_ca_system_score_gemma":0.00022693456,"threshold_uncertainty_score":0.9999704},"labels":[],"label_agreement":null},{"id":"W3006007623","doi":"10.1016/j.ssci.2020.104652","title":"A comparison of older drivers’ driving patterns during a naturalistic on-road driving task with patterns from their preceding four-months of real-world driving","year":2020,"lang":"en","type":"article","venue":"Safety Science","topic":"Older Adults Driving Studies","field":"Health Professions","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":"McMaster University; Ottawa Hospital; McGill University; University of Manitoba","funders":"Australian Research Council","keywords":"Poison control; Task (project management); Human factors and ergonomics; Injury prevention; Transport engineering; Global Positioning System; Geography; Engineering; Simulation; Medicine; Medical emergency; Telecommunications","score_opus":0.053018434149686114,"score_gpt":0.3685299065858648,"score_spread":0.3155114724361787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006007623","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":[0.9924613,0.000026164847,0.0027395089,0.001326551,0.0006590286,0.0010662863,0.00012632261,0.00022049618,0.001374336],"genre_scores_gemma":[0.99855393,0.00006912119,0.00074275705,0.00016554314,0.00026690454,0.00004676152,0.000011769223,0.00006741498,0.0000758044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994342,0.00036195613,0.0014017416,0.0012413831,0.00137804,0.0012748229],"domain_scores_gemma":[0.99494326,0.0019657013,0.001352445,0.0008357322,0.0004958211,0.00040703485],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008092002,0.0005462676,0.0011802991,0.00035755063,0.002587417,0.00006850144,0.0013281498,0.00013354722,0.0001224947],"category_scores_gemma":[0.0011782134,0.00043504382,0.00015942944,0.0013281899,0.00062224857,0.00066890597,0.0012182789,0.0012162087,0.000017542594],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041194166,0.00007403537,0.9311483,0.00037228406,0.00009082468,0.0000090030435,0.051213026,0.00043761832,0.015744856,0.00006649821,0.00003330611,0.0007690683],"study_design_scores_gemma":[0.0010847085,0.00021186128,0.9682143,0.007579889,0.00007037483,7.87255e-7,0.012778507,0.005911408,0.0036505088,0.000025692423,0.000025356188,0.0004466454],"about_ca_topic_score_codex":0.0024681317,"about_ca_topic_score_gemma":0.019816283,"teacher_disagreement_score":0.03843452,"about_ca_system_score_codex":0.00047464884,"about_ca_system_score_gemma":0.0003747347,"threshold_uncertainty_score":0.99981016},"labels":[],"label_agreement":null},{"id":"W3012912908","doi":"10.1016/j.ssci.2020.104705","title":"Improved DEMATEL methodology for effective safety management decision-making","year":2020,"lang":"en","type":"article","venue":"Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":380,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Universiti Teknologi Petronas; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Genome Canada","keywords":"Risk analysis (engineering); Bayesian network; Dependency (UML); Computer science; Decision analysis; Risk management; Management science; Risk assessment; Knowledge management; Engineering; Process management; Computer security; Artificial intelligence; Business","score_opus":0.10372765989428302,"score_gpt":0.4287338072836998,"score_spread":0.3250061473894168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012912908","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":[0.004480326,0.00014644169,0.9793824,0.007220155,0.00067342864,0.0011117489,0.00004631199,0.00008795104,0.006851249],"genre_scores_gemma":[0.6968558,0.00011156861,0.30075753,0.001949674,0.00011718895,0.000052784308,0.0000018779391,0.000014553587,0.00013905956],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99372345,0.0004897457,0.0012402884,0.0017683335,0.0019640871,0.00081406796],"domain_scores_gemma":[0.9853778,0.012054595,0.0004485985,0.0010075885,0.0007114012,0.00039999952],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.018407652,0.00028912144,0.00075228396,0.00051399815,0.0013756193,0.00030126335,0.003093544,0.000106039355,0.00028977977],"category_scores_gemma":[0.021574242,0.00020907397,0.0004438401,0.005436529,0.0007984003,0.00083377835,0.00094514224,0.00020513205,0.0003074152],"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":[0.0010917011,0.00002628203,0.00071016647,0.0000118710705,0.000046344703,0.000009730093,0.0011072239,0.004071039,0.0014091502,0.018781517,0.00044573078,0.97228926],"study_design_scores_gemma":[0.0022335895,0.0005548226,0.087682165,0.000091796916,0.00021907814,0.000020838335,0.004939721,0.32476345,0.002193614,0.50941247,0.06688393,0.0010045343],"about_ca_topic_score_codex":0.000011265915,"about_ca_topic_score_gemma":0.000029160978,"teacher_disagreement_score":0.9712847,"about_ca_system_score_codex":0.00016421094,"about_ca_system_score_gemma":0.00016823641,"threshold_uncertainty_score":0.9999245},"labels":[],"label_agreement":null},{"id":"W3015375269","doi":"10.1016/j.ssci.2020.104767","title":"The future of evacuation drills: Assessing and enhancing evacuee performance","year":2020,"lang":"en","type":"article","venue":"Safety Science","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"Horizon 2020; Arts and Humanities Research Council; Horizon 2020 Framework Programme; National Research Council Canada; Vetenskapsrådet; Svenska Forskningsrådet Formas; European Commission","keywords":"Poison control; Human factors and ergonomics; Engineering; Forensic engineering; Transport engineering; Injury prevention; Occupational safety and health; Suicide prevention; Medical emergency; Medicine","score_opus":0.006293768551934538,"score_gpt":0.2262855857789721,"score_spread":0.21999181722703756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015375269","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":[0.9622491,0.0008223138,0.02969626,0.0020548564,0.0004087961,0.000110610614,0.0000020407872,0.00010188775,0.0045541227],"genre_scores_gemma":[0.9984727,0.00043516167,0.00092514465,0.00008279679,0.00006915696,0.0000012436375,7.199512e-7,0.000004903161,0.000008177877],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936706,0.00000884627,0.00015107298,0.00010530083,0.00023713872,0.00013057102],"domain_scores_gemma":[0.9996991,0.00004598293,0.00003266515,0.000097768556,0.000068384536,0.000056083427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045461027,0.000056815377,0.000060355327,0.000021928774,0.00027528437,0.0000665487,0.00016177612,0.00002046423,0.0000071515115],"category_scores_gemma":[0.00006247347,0.000042290114,0.000011746773,0.00039432166,0.00013837915,0.00036383458,0.000033364136,0.00008128043,0.0000064111628],"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":[0.00002064938,0.000007146138,0.0057100425,0.00021566269,0.000013022748,5.8014325e-7,0.005897807,0.07719042,0.2435683,0.012389483,0.0001262998,0.6548606],"study_design_scores_gemma":[0.000098481374,0.000017839719,0.05657433,0.000023721941,0.0000042034776,0.0000016791304,0.0008309677,0.92991734,0.009210678,0.00008331043,0.0031532699,0.00008420292],"about_ca_topic_score_codex":5.242397e-7,"about_ca_topic_score_gemma":0.00000508398,"teacher_disagreement_score":0.8527269,"about_ca_system_score_codex":0.000030807794,"about_ca_system_score_gemma":0.00004623138,"threshold_uncertainty_score":0.21172927},"labels":[],"label_agreement":null},{"id":"W3017145918","doi":"10.1016/j.ssci.2020.104791","title":"Estimating and projecting air passenger traffic during the COVID-19 coronavirus outbreak and its socio-economic impact","year":2020,"lang":"en","type":"preprint","venue":"Safety Science","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":40,"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":"Joint Research Centre","keywords":"Aviation; Coronavirus disease 2019 (COVID-19); Pandemic; Quarter (Canadian coin); Economic impact analysis; Baseline (sea); Business; Scope (computer science); Air traffic control; Order (exchange); Transport engineering; Aeronautics; Geography; Engineering; Computer science; Finance; Political science","score_opus":0.08305098713759079,"score_gpt":0.325390530530098,"score_spread":0.24233954339250718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017145918","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":[0.98875666,0.0012203482,0.00078748487,0.006712608,0.00042330066,0.00032291398,0.0004563653,0.000072914845,0.0012474218],"genre_scores_gemma":[0.9988098,0.00012513831,0.00033910346,0.00030103666,0.00023874863,0.000026321435,0.000014432469,0.000019240282,0.00012616927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997624,0.0000357292,0.0007457412,0.0010994218,0.000089149915,0.00040597346],"domain_scores_gemma":[0.9982446,0.00016941542,0.0008932152,0.00035942884,0.000030235744,0.00030312955],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0018121727,0.00029431563,0.0005338824,0.00022924779,0.0013092766,0.00035095718,0.00050826755,0.0001787445,0.00015920121],"category_scores_gemma":[0.0005601144,0.0002604773,0.00014809922,0.0003455431,0.0003831532,0.0003974492,0.00082420436,0.00068148726,0.000053337986],"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":[0.00006223109,0.000044639608,0.28158215,0.000464701,0.00033583562,0.00001827384,0.011605867,0.67638195,0.00007704448,0.021884749,0.00012394584,0.007418594],"study_design_scores_gemma":[0.00052932196,0.00003718398,0.36080956,0.000040087896,0.000040244926,0.00004739722,0.0006540143,0.6317181,0.000013737718,0.0045643197,0.00090820953,0.0006378419],"about_ca_topic_score_codex":0.00046031876,"about_ca_topic_score_gemma":0.000038305578,"teacher_disagreement_score":0.07922741,"about_ca_system_score_codex":0.0008367736,"about_ca_system_score_gemma":0.0004970645,"threshold_uncertainty_score":0.9999909},"labels":[],"label_agreement":null},{"id":"W3018104744","doi":"10.1016/j.ssci.2020.104744","title":"An innovative quantitative analysis methodology for Natech events triggered by earthquakes in chemical tank farms","year":2020,"lang":"en","type":"article","venue":"Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":54,"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":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Domino effect; Domino; Accident analysis; Engineering; Accident (philosophy); Emergency rescue; Risk analysis (engineering); Forensic engineering; Environmental science; Business","score_opus":0.24368727083485686,"score_gpt":0.48069500673045495,"score_spread":0.2370077358955981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018104744","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":[0.53008586,0.00013074478,0.45682594,0.011828894,0.00010950768,0.0003762833,0.00022470618,0.000042196076,0.0003758393],"genre_scores_gemma":[0.9356279,0.000034418812,0.063468054,0.00072202604,0.000024584335,0.000022536027,0.000033261796,0.000007777135,0.000059444763],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9939194,0.0008268582,0.0013313077,0.0015324417,0.0017750431,0.000614973],"domain_scores_gemma":[0.9936909,0.003605615,0.0005058312,0.0006349755,0.0012429798,0.0003196851],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.014279051,0.00023537524,0.000972439,0.0011327969,0.0003479871,0.00013456216,0.0023279218,0.00013101922,0.00017730003],"category_scores_gemma":[0.019378716,0.00017766486,0.0002881011,0.032848865,0.0009063396,0.0010569616,0.00018010434,0.0002684829,0.0000612233],"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":[0.0040524844,0.00069612806,0.062536836,0.000017909028,0.0008641031,0.000020157215,0.046742234,0.018518938,0.5398757,0.039028402,0.0013488515,0.28629825],"study_design_scores_gemma":[0.004021516,0.0016086032,0.13318516,0.000021773383,0.00053508265,0.0000041571056,0.0326631,0.582066,0.06975103,0.16355394,0.010836792,0.0017528262],"about_ca_topic_score_codex":0.00012682221,"about_ca_topic_score_gemma":0.00014358426,"teacher_disagreement_score":0.5635471,"about_ca_system_score_codex":0.00008597123,"about_ca_system_score_gemma":0.000346495,"threshold_uncertainty_score":0.98888147},"labels":[],"label_agreement":null},{"id":"W3022114687","doi":"10.1016/j.ssci.2020.104790","title":"An agent-based simulation framework for analysing fall risk among older adults in the evacuation procedures","year":2020,"lang":"en","type":"article","venue":"Safety Science","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Emergency evacuation; Falling (accident); Vulnerability (computing); Population; Poison control; Risk assessment; Injury prevention; Risk analysis (engineering); Human factors and ergonomics; Engineering; Emergency procedure; Apartment; Medical emergency; Computer science; Environmental health; Medicine; Computer security; Civil engineering; Geography","score_opus":0.012309993255071204,"score_gpt":0.2827159216439831,"score_spread":0.2704059283889119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022114687","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":[0.46627367,0.000010884011,0.5331699,0.0001704877,0.000035153163,0.00023882925,0.000005800452,0.000058126912,0.000037116],"genre_scores_gemma":[0.9927336,0.000004262463,0.006822312,0.0003395337,0.000046389865,0.000026122718,0.000018522773,0.000008786832,4.851234e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909806,0.00003250974,0.00018701778,0.00020912691,0.00030255664,0.00017074567],"domain_scores_gemma":[0.9994784,0.00016698263,0.000051479445,0.00016207002,0.0000808866,0.00006017541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059599977,0.00008239685,0.000071124756,0.000079212245,0.0001876728,0.00009370281,0.00027128958,0.000045535453,0.000007838332],"category_scores_gemma":[0.0006650265,0.00006732101,0.000032265565,0.0009802706,0.00006467981,0.00039288157,0.000006546539,0.00012195209,0.0000039049482],"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":[0.000015054177,0.000010724939,0.0155342845,0.000024777442,0.0000014373327,1.4559886e-7,0.0031143185,0.97676235,0.00010595158,0.00041765827,0.000002751534,0.004010519],"study_design_scores_gemma":[0.00016809518,0.000018122992,0.24015574,0.000029630868,0.000007257079,2.9513375e-8,0.00046506338,0.7586074,0.000074108546,0.0003962599,0.000009213127,0.000069093425],"about_ca_topic_score_codex":0.0000130715625,"about_ca_topic_score_gemma":0.0001923908,"teacher_disagreement_score":0.52645993,"about_ca_system_score_codex":0.00005852168,"about_ca_system_score_gemma":0.00005596049,"threshold_uncertainty_score":0.2745271},"labels":[],"label_agreement":null},{"id":"W3022605724","doi":"10.1016/j.ssci.2020.104806","title":"The scientific literature on Coronaviruses, COVID-19 and its associated safety-related research dimensions: A scientometric analysis and scoping review","year":2020,"lang":"en","type":"article","venue":"Safety Science","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":270,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Pandemic; Occupational safety and health; Coronavirus disease 2019 (COVID-19); Scientific literature; Patient safety; Warrant; Personal protective equipment; Health care; Engineering ethics; Public relations; Medicine; Business; Political science; Engineering; Disease","score_opus":0.17041795175166713,"score_gpt":0.400089626527417,"score_spread":0.22967167477574985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022605724","genre_codex":"review","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":[0.26152104,0.65029275,0.0005489107,0.07845747,0.0011419922,0.0041283793,0.00082377036,0.00023150339,0.0028542085],"genre_scores_gemma":[0.94359374,0.049386792,0.000040177383,0.006557402,0.000019303028,0.00001656386,0.000020676554,0.000014231115,0.0003510955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99594873,0.00022554566,0.0008811697,0.001455528,0.0006090513,0.0008799973],"domain_scores_gemma":[0.9954579,0.0022321679,0.0004387,0.0006175853,0.000347242,0.00090640073],"candidate_categories":["metaresearch","bibliometrics","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.021937897,0.0002131891,0.00057366764,0.0025603487,0.0040110103,0.0010453347,0.00089456496,0.00010929305,0.000091498325],"category_scores_gemma":[0.059475977,0.00017657038,0.00010748643,0.051518623,0.0016333978,0.0006879185,0.0006343394,0.0005939329,0.00015757215],"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":[0.0009171059,0.0006975706,0.38884026,0.009803099,0.0015023942,0.00022068963,0.032617833,0.003967282,0.0032831666,0.52045923,0.01044897,0.027242426],"study_design_scores_gemma":[0.0072668106,0.0015970065,0.62699014,0.028665675,0.0005589794,0.00007077978,0.00067288976,0.14408794,0.00030215256,0.028100306,0.1578683,0.0038190293],"about_ca_topic_score_codex":0.00008886448,"about_ca_topic_score_gemma":0.000071027906,"teacher_disagreement_score":0.6820727,"about_ca_system_score_codex":0.00072253734,"about_ca_system_score_gemma":0.0008664853,"threshold_uncertainty_score":0.99999166},"labels":[],"label_agreement":null},{"id":"W3028399946","doi":"10.1016/j.ssci.2020.104798","title":"Preventing shipping accidents: Past, present, and future of waterway risk management with Baltic Sea focus","year":2020,"lang":"en","type":"article","venue":"Safety Science","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Academy of Finland; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; European Commission","keywords":"Baltic sea; Work (physics); Environmental planning; Risk management; Environmental resource management; Risk analysis (engineering); Business; Geography; Engineering; Environmental science; Oceanography","score_opus":0.005641816690762481,"score_gpt":0.2044541197172832,"score_spread":0.19881230302652073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028399946","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":[0.7214851,0.0019836063,0.1341044,0.012500595,0.0009905888,0.0027694893,0.00010868531,0.0010483632,0.1250092],"genre_scores_gemma":[0.99585,0.0001719197,0.0037091076,0.00003942877,0.000178404,0.000005139832,0.00000227506,0.000010124359,0.0000335735],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989626,0.000022521752,0.00020531914,0.00023763863,0.00033466384,0.00023726917],"domain_scores_gemma":[0.99959505,0.000020857064,0.000052227275,0.0001557784,0.00004113131,0.00013496395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033930008,0.00010495468,0.00012302725,0.00005250808,0.00014369444,0.000043803942,0.00024366796,0.000023381348,0.000059810696],"category_scores_gemma":[0.000006427334,0.00008660772,0.000021702435,0.00053576054,0.00010965849,0.0003286657,0.00012817091,0.00012075338,0.0000069403804],"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":[0.0001468536,0.00005998916,0.16711898,0.0015937539,0.0001852288,0.00004159271,0.0067228833,0.041462902,0.0031323317,0.0055229357,0.00070677255,0.7733058],"study_design_scores_gemma":[0.0024737783,0.00016899365,0.6169389,0.00042313366,0.00012900686,0.000019990246,0.002006731,0.3103882,0.010405128,0.0009898813,0.055209238,0.00084701675],"about_ca_topic_score_codex":0.00001482831,"about_ca_topic_score_gemma":0.0000030388564,"teacher_disagreement_score":0.77245873,"about_ca_system_score_codex":0.000026362584,"about_ca_system_score_gemma":0.00001206206,"threshold_uncertainty_score":0.35317603},"labels":[],"label_agreement":null},{"id":"W3033250364","doi":"10.1016/j.ssci.2020.104858","title":"A Dynamic Bayesian Network model for ship-ice collision risk in the Arctic waters","year":2020,"lang":"en","type":"article","venue":"Safety Science","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":181,"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":"Lloyd's Register Foundation","keywords":"Collision; Arctic; Arctic ice pack; Snow; Sea ice; Environmental science; Hull; Marine engineering; Visibility; Meteorology; Bayesian network; Range (aeronautics); Climatology; Engineering; Geology; Oceanography; Computer science; Geography; Computer security","score_opus":0.01094154379488298,"score_gpt":0.23106418562405331,"score_spread":0.22012264182917032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033250364","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":[0.032089688,0.00005542953,0.95694745,0.005927786,0.00026619792,0.00079814636,0.000042578067,0.00016446922,0.003708277],"genre_scores_gemma":[0.9917525,0.000053976222,0.0074319406,0.00067618175,0.00002704801,0.000020906922,0.000007078907,0.00000931212,0.000021068634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989823,0.000030007515,0.0001997255,0.00021271313,0.0002572896,0.0003179535],"domain_scores_gemma":[0.99954075,0.00013365566,0.00002422201,0.00017825888,0.000032964155,0.00009012402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010292694,0.000092138296,0.0000974881,0.0000317554,0.00023845278,0.00005298516,0.00044716184,0.00003567272,0.000008125053],"category_scores_gemma":[0.00014011175,0.000069886526,0.000039217633,0.00084698276,0.000101508114,0.00019482682,0.000034602774,0.00017554002,0.000012236945],"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":[0.000024720362,0.0000042915667,0.00037294228,0.000022433795,0.0000012993708,6.54734e-7,0.0016630049,0.993945,0.000108391694,0.0009334697,0.00010256639,0.0028212515],"study_design_scores_gemma":[0.0002151963,0.000017932127,0.0044897464,0.000018389159,0.0000044120725,9.80348e-7,0.000112782494,0.99209285,0.000016199487,0.0022819843,0.00065367366,0.00009588209],"about_ca_topic_score_codex":0.000014798229,"about_ca_topic_score_gemma":0.000041531726,"teacher_disagreement_score":0.9596628,"about_ca_system_score_codex":0.00008955486,"about_ca_system_score_gemma":0.000048528083,"threshold_uncertainty_score":0.284989},"labels":[],"label_agreement":null},{"id":"W3036321742","doi":"10.1016/j.ssci.2020.104826","title":"Using grounded theory and mental modeling to understand influences on electricians’ safety decisions: Toward an integrated theory of why electricians work energized","year":2020,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","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":"Western University","funders":"","keywords":"Work (physics); Hazard; Grounded theory; Occupational safety and health; Poison control; Meaning (existential); Human factors and ergonomics; Negotiation; Psychological intervention; Applied psychology; Task (project management); Psychology; Risk analysis (engineering); Social psychology; Engineering; Qualitative research; Business; Environmental health; Medicine","score_opus":0.20819606514950129,"score_gpt":0.4617697821514726,"score_spread":0.2535737170019713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036321742","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":[0.61032647,0.00034128205,0.38057515,0.004111532,0.000328577,0.0018132345,0.00008525879,0.000094267154,0.0023242547],"genre_scores_gemma":[0.9897547,0.00036133936,0.0037035365,0.0060070567,0.00009432167,0.000017756593,0.00001558065,0.00002302417,0.000022697932],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99422616,0.0017619658,0.00095158163,0.00076280284,0.0012435315,0.0010539369],"domain_scores_gemma":[0.9946923,0.0033749614,0.00021251962,0.00033705326,0.0005540329,0.0008290885],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0074632927,0.00025449778,0.00044765676,0.0004907227,0.0023132903,0.000037168014,0.0007044474,0.00016368255,0.00013008139],"category_scores_gemma":[0.0044027246,0.00020269123,0.000059302834,0.0044642584,0.0004526729,0.0005508818,0.00020514074,0.00076372665,0.000024336498],"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":[0.08156166,0.00037595473,0.01363557,0.0002589555,0.00007884059,0.000013245499,0.05344543,0.04026103,0.015486992,0.6090663,0.00014266829,0.18567334],"study_design_scores_gemma":[0.008828771,0.0067541245,0.07695457,0.0032320363,0.00010910167,0.000009653172,0.115507625,0.5510597,0.0015419872,0.23138054,0.002386221,0.0022356366],"about_ca_topic_score_codex":0.00033910383,"about_ca_topic_score_gemma":0.000117475254,"teacher_disagreement_score":0.5107987,"about_ca_system_score_codex":0.0007137719,"about_ca_system_score_gemma":0.0027729836,"threshold_uncertainty_score":0.9989856},"labels":[],"label_agreement":null},{"id":"W3043201523","doi":"10.1016/j.ssci.2020.104892","title":"The importance of domain-dependent cognitive factors in GA safety: Predicting critical incidents with prospective memory, situation awareness, and pilot attributes","year":2020,"lang":"en","type":"article","venue":"Safety Science","topic":"Cognitive Functions and Memory","field":"Psychology","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Prospective memory; Prospective cohort study; Aviation; Aviation safety; Cognition; Human factors and ergonomics; Poison control; Occupational safety and health; Psychology; Injury prevention; Suicide prevention; Applied psychology; Aeronautics; Engineering; Medicine; Medical emergency; Psychiatry; Surgery","score_opus":0.034391622690685006,"score_gpt":0.31819283987535035,"score_spread":0.28380121718466533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043201523","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":[0.98833835,0.00016914739,0.0063307905,0.00091839896,0.00025625573,0.0006163985,0.00010063216,0.000030563595,0.0032394547],"genre_scores_gemma":[0.99963504,0.00002032046,0.000058132522,0.00014701558,0.00005219393,0.0000385685,0.000007743545,0.00000991264,0.000031092073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99811745,0.000112654154,0.00034935592,0.000565936,0.0004910443,0.00036356738],"domain_scores_gemma":[0.99813205,0.0009876246,0.00014949599,0.0001552913,0.00043574983,0.0001397586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009599815,0.00015009723,0.0002021969,0.00007889361,0.0006428294,0.0000414406,0.00019951357,0.000036141526,0.00006146219],"category_scores_gemma":[0.0016423047,0.00010503349,0.000022292144,0.00081090344,0.0014365691,0.00033300798,0.00014189108,0.00022991402,0.0000066278412],"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":[0.0010208369,0.000091690206,0.98531425,0.000012191297,0.000018157223,0.000014503604,0.007925648,0.0000069746325,0.0010700797,0.0032579124,0.000004422079,0.0012633386],"study_design_scores_gemma":[0.001159795,0.0006307629,0.9704399,0.00007951103,0.000023152326,0.00001267122,0.025220338,0.00007432851,0.0012702751,0.0009444379,0.000016338201,0.00012846236],"about_ca_topic_score_codex":0.000172615,"about_ca_topic_score_gemma":0.0008160638,"teacher_disagreement_score":0.01729469,"about_ca_system_score_codex":0.00010293056,"about_ca_system_score_gemma":0.00028201725,"threshold_uncertainty_score":0.5293099},"labels":[],"label_agreement":null},{"id":"W3047169813","doi":"10.1016/j.ssci.2020.104931","title":"Use of social media platforms for promoting healthy employee lifestyles and occupational health and safety prevention: A systematic review","year":2020,"lang":"en","type":"review","venue":"Safety Science","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université TÉLUQ","funders":"","keywords":"Social media; Promotion (chess); Psychological intervention; Health promotion; Scarcity; Workplace health promotion; Occupational safety and health; Intervention (counseling); Public relations; Environmental health; Psychology; Medicine; Public health; Political science; Nursing","score_opus":0.28079984455603035,"score_gpt":0.48584218681782565,"score_spread":0.2050423422617953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047169813","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":[0.000033558063,0.9806675,0.00008901595,0.0034502451,0.0012058201,0.01431767,0.00017086482,0.000051216524,0.0000141276205],"genre_scores_gemma":[0.000029949362,0.99539936,0.001915296,0.00041456113,0.0006334319,0.0014897428,0.000086510474,0.000024604267,0.0000065612803],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9946536,0.00070304493,0.00205045,0.00069396454,0.001204314,0.0006946703],"domain_scores_gemma":[0.98854285,0.007697651,0.0023994858,0.00021840996,0.00044351834,0.00069807546],"candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.009595787,0.00030168,0.0024117087,0.00020226405,0.0023426164,0.00010018327,0.00048098565,0.00020666046,0.000009166599],"category_scores_gemma":[0.04156457,0.00025757984,0.00020895593,0.0017198318,0.0013458183,0.000673924,0.00013993705,0.00028729552,0.0000033010945],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014092256,0.000022344275,0.00007727896,0.72373426,0.000017292401,1.5392331e-7,0.024349146,8.345538e-9,7.988892e-9,0.008971091,0.000061082865,0.24275322],"study_design_scores_gemma":[0.0002764171,0.00031587784,0.0009894815,0.57487,0.00058809575,0.000013168817,0.0024396207,0.000009055741,3.2619585e-8,0.0008576275,0.41907415,0.00056647096],"about_ca_topic_score_codex":0.00018273733,"about_ca_topic_score_gemma":0.00040971636,"teacher_disagreement_score":0.41901308,"about_ca_system_score_codex":0.0008121246,"about_ca_system_score_gemma":0.016866751,"threshold_uncertainty_score":0.99998766},"labels":[],"label_agreement":null},{"id":"W3088075317","doi":"10.1016/j.ssci.2020.104981","title":"Application of Bayesian network and artificial intelligence to reduce accident/incident rates in oil &amp; gas companies","year":2020,"lang":"en","type":"article","venue":"Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":64,"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":"Process safety; Incident report; Bayesian network; Asset (computer security); Process (computing); Reliability (semiconductor); Accident analysis; Poison control; Engineering; Computer science; Computer security; Risk analysis (engineering); Operations management; Transport engineering; Machine learning; Work in process; Business","score_opus":0.08699401901798096,"score_gpt":0.3838259639997584,"score_spread":0.29683194498177745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088075317","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":[0.52315503,0.00023969394,0.4484219,0.027061468,0.00015981503,0.00019948713,0.0000064789083,0.000027016673,0.00072910375],"genre_scores_gemma":[0.9914695,0.00022358562,0.0077831834,0.00038963545,0.00009000314,0.000008130786,0.0000016422986,0.0000045907746,0.000029699966],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99618155,0.00014690288,0.0010316005,0.00083237316,0.0014342692,0.00037330622],"domain_scores_gemma":[0.9979078,0.0006099024,0.00029588307,0.0005363537,0.00033375804,0.00031628026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044503147,0.00014128281,0.00038524275,0.00028930997,0.0003107259,0.00020296098,0.0014162336,0.00004271759,0.000076635115],"category_scores_gemma":[0.0028860061,0.000116169715,0.0000698051,0.006772197,0.0006173696,0.00050943583,0.0004351028,0.00013308456,0.0001838316],"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":[0.00022128543,0.000040392904,0.06228956,0.0000055175983,0.000005049807,0.0000018001989,0.0047286465,0.13736671,0.00701071,0.01738103,0.00014795084,0.77080137],"study_design_scores_gemma":[0.00010897689,0.00014364156,0.36300796,0.00006425215,0.000023790073,0.000006653978,0.0060222545,0.31443343,0.009404926,0.30185065,0.0044091917,0.0005242805],"about_ca_topic_score_codex":0.00031343527,"about_ca_topic_score_gemma":0.0018565033,"teacher_disagreement_score":0.7702771,"about_ca_system_score_codex":0.000051737676,"about_ca_system_score_gemma":0.00015859201,"threshold_uncertainty_score":0.47372636},"labels":[],"label_agreement":null},{"id":"W3098000326","doi":"10.1016/j.ssci.2020.105093","title":"An overview of scientometric mapping for the safety science community: Methods, tools, and framework","year":2020,"lang":"en","type":"article","venue":"Safety Science","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":251,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Scientometrics; Data science; Computer science; Context (archaeology); Domain (mathematical analysis); Thematic map; Process (computing); Management science; Engineering; World Wide Web; Geography; Cartography","score_opus":0.2517380484306804,"score_gpt":0.466025153135134,"score_spread":0.2142871047044536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098000326","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":[0.15315387,0.022830624,0.7893535,0.023044338,0.0013149076,0.004436931,0.0017425951,0.00040429377,0.0037189208],"genre_scores_gemma":[0.869115,0.00073818915,0.12705708,0.0029702373,0.00007098072,0.000012982186,0.00001556394,0.000012638842,0.0000073416722],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9970626,0.0002456568,0.00044071497,0.0005923325,0.0011190278,0.0005396158],"domain_scores_gemma":[0.99516225,0.002098536,0.0002167525,0.0013163539,0.0006140066,0.0005920977],"candidate_categories":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01293996,0.0001672098,0.00040958522,0.00046378284,0.0016322356,0.00016154193,0.0018229034,0.000042657703,0.000036693928],"category_scores_gemma":[0.0168317,0.00011782897,0.00007863587,0.013510322,0.0046530063,0.00094988686,0.00074596965,0.00038284363,0.0000055632354],"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":[0.0005449447,0.0002786349,0.032056097,0.00093492714,0.00004577116,0.0000038798626,0.006744713,0.00013778941,0.07332747,0.050177388,0.00015231178,0.8355961],"study_design_scores_gemma":[0.00082862936,0.00040707996,0.9402328,0.00035120375,0.00006763453,0.000016647107,0.0025534239,0.024348663,0.0031305966,0.0021274996,0.025657652,0.00027816388],"about_ca_topic_score_codex":0.000041673236,"about_ca_topic_score_gemma":0.0000038770595,"teacher_disagreement_score":0.9081767,"about_ca_system_score_codex":0.000116560426,"about_ca_system_score_gemma":0.0010176821,"threshold_uncertainty_score":0.9996675},"labels":[],"label_agreement":null},{"id":"W3108875719","doi":"10.1016/j.ssci.2020.105066","title":"Developing levels of pedestrian physical distancing during a pandemic","year":2020,"lang":"en","type":"article","venue":"Safety Science","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pedestrian; Distancing; Social distance; Transmission (telecommunications); Pandemic; Psychological intervention; Computer science; Poison control; Computer security; Limiting; Risk analysis (engineering); Simulation; Transport engineering; Coronavirus disease 2019 (COVID-19); Environmental health; Psychology; Medicine; Engineering; Telecommunications; Disease","score_opus":0.05083036451303278,"score_gpt":0.317763268991049,"score_spread":0.2669329044780162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108875719","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":[0.9386259,0.000008914131,0.059290197,0.0009181336,0.00006737585,0.00010115532,0.0000023833666,0.00003769283,0.0009482551],"genre_scores_gemma":[0.99939865,0.000002116917,0.00031753752,0.00012537149,0.00013705694,0.0000010457205,4.36415e-7,0.0000029281073,0.00001488157],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993178,0.000008011574,0.00014158645,0.00015503386,0.00023167298,0.00014585377],"domain_scores_gemma":[0.9996812,0.00002161464,0.00005910747,0.00006765859,0.00008682636,0.00008362096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018763402,0.000047245765,0.00012259053,0.00003848412,0.00013276556,0.000007479849,0.000056198776,0.000013471655,0.000016214635],"category_scores_gemma":[0.00023680044,0.000039879375,0.000038389422,0.00049969717,0.00010817748,0.00014941511,0.000029381717,0.00007026251,0.000009093195],"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":[0.000239612,0.000025512774,0.20894335,0.00017718483,0.000009860627,0.000005277893,0.0021128643,0.00017780534,0.7723319,0.0032600898,0.0000013322142,0.012715222],"study_design_scores_gemma":[0.00063464395,0.000048659494,0.9648464,0.000064640524,0.000011047869,0.000009254578,0.000082406856,0.0083465725,0.025666537,0.00014485212,0.00009162612,0.00005338672],"about_ca_topic_score_codex":0.000007240822,"about_ca_topic_score_gemma":0.0000031235274,"teacher_disagreement_score":0.755903,"about_ca_system_score_codex":0.00008515631,"about_ca_system_score_gemma":0.00029738437,"threshold_uncertainty_score":0.16262338},"labels":[],"label_agreement":null},{"id":"W3134659743","doi":"10.1016/j.ssci.2021.105191","title":"Response from the authors of the article “Critical review of the role of personal protective Equipment (PPE) in the prevention of risks related to agricultural pesticide use” to the letter to the editor from the European crop protection association (ECPA) Occupational and bystander exposure expert group (OBEEG)","year":2021,"lang":"en","type":"article","venue":"Safety Science","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","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":"Institut National de Santé Publique du Québec","funders":"","keywords":"Agriculture; Occupational safety and health; Relevance (law); Personal protective equipment; Environmental health; Pesticide; Poison control; Human factors and ergonomics; Injury prevention; Business; Engineering; Medicine; Political science; Law; Geography; Coronavirus disease 2019 (COVID-19)","score_opus":0.029902887327394226,"score_gpt":0.2728460800326884,"score_spread":0.2429431927052942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134659743","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":[0.91396785,0.0003746358,0.00008615361,0.08380955,0.00028020472,0.0013133482,0.00012433804,0.0000044266553,0.000039479037],"genre_scores_gemma":[0.997706,0.000017816881,0.00004958562,0.0018409421,0.00028767824,0.00006827995,0.000003487381,0.0000012123442,0.000024995388],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99486464,0.0031972062,0.0004475375,0.0002903746,0.0009996474,0.00020059398],"domain_scores_gemma":[0.99717855,0.0019381483,0.00026930196,0.000217561,0.0003563642,0.000040075833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005483178,0.00011588586,0.00015410765,0.000006989658,0.0006012217,0.00006206209,0.0007282705,0.00004989311,0.000028612822],"category_scores_gemma":[0.0064672776,0.000026565764,0.00011494007,0.0011770003,0.00030453556,0.00013314832,0.00030268502,0.00027621587,0.0000019553638],"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":[0.0004886465,0.00020950467,0.036741998,0.000013824011,0.000037793136,5.4325625e-7,0.015975079,0.00018795463,0.9332661,0.00039905863,0.0024848846,0.010194611],"study_design_scores_gemma":[0.0000795854,0.00017537778,0.98313594,0.00048718043,0.00002620881,0.0000017492899,0.0023050832,0.00006049698,0.011411465,0.00042670197,0.0018296771,0.000060530474],"about_ca_topic_score_codex":0.0011448612,"about_ca_topic_score_gemma":0.0016140835,"teacher_disagreement_score":0.94639397,"about_ca_system_score_codex":0.00007851884,"about_ca_system_score_gemma":0.00006737942,"threshold_uncertainty_score":0.77424026},"labels":[],"label_agreement":null},{"id":"W3152251636","doi":"10.1016/j.ssci.2021.105277","title":"Adapting to the unexpected: Problematic work situations and resilience strategies in healthcare institutions during the COVID-19 pandemic’s first wave","year":2021,"lang":"en","type":"article","venue":"Safety Science","topic":"Disaster Response and Management","field":"Health Professions","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Haute école Spécialisée de Suisse Occidentale","keywords":"Health care; Flexibility (engineering); Adaptation (eye); Pandemic; Interpersonal communication; Psychological resilience; Variety (cybernetics); Public relations; Psychology; Work (physics); Resilience (materials science); Personal protective equipment; Business; Coronavirus disease 2019 (COVID-19); Nursing; Medicine; Political science; Computer science; Engineering; Social psychology; Management","score_opus":0.145623231592828,"score_gpt":0.4263580586759958,"score_spread":0.28073482708316777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152251636","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":[0.7248813,0.00037780535,0.010847746,0.2524184,0.00037163118,0.0024413555,0.00001716796,0.00010651813,0.008538056],"genre_scores_gemma":[0.99405754,0.000091485635,0.00050320744,0.0043066195,0.000033891607,0.0002821455,0.0000016523104,0.000004714819,0.0007187569],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99786776,0.0004477325,0.0004105495,0.0003852171,0.00037972623,0.00050900556],"domain_scores_gemma":[0.99835426,0.00072748185,0.00010539015,0.0005055676,0.00011507376,0.00019220148],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0023696828,0.00010370538,0.000123627,0.00012226366,0.005059901,0.00009453743,0.00038528215,0.00003556108,0.000040547642],"category_scores_gemma":[0.0018429424,0.000064166794,0.000019058702,0.00238438,0.0003980792,0.00034130664,0.000593264,0.0003491511,0.000035627934],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017869838,0.0000981997,0.094744265,0.0010473501,0.000017162169,0.000064443084,0.3894309,0.049695242,0.001262584,0.46010607,0.0012106685,0.0021443996],"study_design_scores_gemma":[0.00064410333,0.00003923753,0.5715733,0.0009839091,0.000014631456,0.000022629256,0.37641233,0.0007350494,0.000007703923,0.009639087,0.039660122,0.0002679012],"about_ca_topic_score_codex":0.00076028984,"about_ca_topic_score_gemma":0.03763577,"teacher_disagreement_score":0.47682902,"about_ca_system_score_codex":0.0004069925,"about_ca_system_score_gemma":0.0028672554,"threshold_uncertainty_score":0.9962354},"labels":[],"label_agreement":null},{"id":"W3157376759","doi":"10.1016/j.ssci.2021.105278","title":"Virtual Special Issue: Mapping Safety Science – Reviewing Safety Research","year":2021,"lang":"en","type":"article","venue":"Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","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":"Dalhousie University","funders":"","keywords":"Poison control; Occupational safety and health; Human factors and ergonomics; Injury prevention; Engineering; Suicide prevention; Transport engineering; Engineering ethics; Data science; Medical emergency; Forensic engineering; Computer science; Medicine","score_opus":0.19005356920757338,"score_gpt":0.45288071685862835,"score_spread":0.26282714765105497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157376759","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":[0.032136373,0.0030294657,0.040021166,0.05310263,0.010003973,0.0012889716,0.00016832462,0.00028468992,0.85996443],"genre_scores_gemma":[0.93097293,0.010978185,0.014483363,0.002052915,0.008223632,0.000024559895,0.000022912243,0.00006862889,0.03317286],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.97265774,0.0015331774,0.0026859252,0.0037342778,0.016728694,0.0026601767],"domain_scores_gemma":[0.9829952,0.0038907838,0.00057309866,0.003971256,0.0073404163,0.0012292535],"candidate_categories":["metaresearch","metaepi_narrow","bibliometrics","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaresearch","sts","insufficient_payload"],"category_scores_codex":[0.10112066,0.00047686198,0.0011460976,0.002580671,0.010192184,0.0021959208,0.008362332,0.00017700816,0.007899155],"category_scores_gemma":[0.053888977,0.0003873175,0.00052678335,0.05307232,0.01041922,0.0044340715,0.003966981,0.0012606302,0.005947653],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001845204,0.0001868112,0.0025877648,0.000011684328,0.00002231982,0.00016755308,0.005131162,0.0019316515,0.012476662,0.06628847,0.0071822745,0.9038291],"study_design_scores_gemma":[0.0005417932,0.00011291002,0.04945779,0.0002131557,0.000020999096,0.00008480964,0.011006984,0.0054934453,0.0030277458,0.0236915,0.90564495,0.00070393586],"about_ca_topic_score_codex":0.0001114158,"about_ca_topic_score_gemma":0.0001697511,"teacher_disagreement_score":0.90312517,"about_ca_system_score_codex":0.0012390178,"about_ca_system_score_gemma":0.0067943768,"threshold_uncertainty_score":0.9998579},"labels":[],"label_agreement":null},{"id":"W3160941445","doi":"10.1016/j.ssci.2021.105326","title":"Operational safety economics: Foundations, current approaches and paths for future research","year":2021,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Interdependence; Risk analysis (engineering); Health economics; Investment (military); Economics; Management science; Cost–benefit analysis; Public economics; Environmental economics; Business; Health care; Economic growth; Political science","score_opus":0.3094969182398838,"score_gpt":0.5344985249010613,"score_spread":0.22500160666117752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160941445","genre_codex":"commentary","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":[0.26617622,0.019722061,0.036758408,0.463004,0.021164924,0.022778686,0.0049752314,0.00034788554,0.16507259],"genre_scores_gemma":[0.9452738,0.012766836,0.025444066,0.0019475127,0.0063670673,0.0020871237,0.0014456672,0.00006270858,0.0046052258],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965865,0.00053516723,0.0005825519,0.0006997379,0.00064202433,0.0009540058],"domain_scores_gemma":[0.9952689,0.0022569455,0.00008271077,0.00039529984,0.0015651959,0.00043094327],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008620872,0.00011966973,0.00019762933,0.00021677522,0.0070257103,0.000071234266,0.00035316183,0.00011174538,0.00035067622],"category_scores_gemma":[0.0018245227,0.000107915424,0.00004371826,0.0008764131,0.00065891066,0.00055375806,0.0003754619,0.0007625747,0.00014469396],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034076977,0.00009324971,0.02244872,0.0003428969,0.000006056789,6.7371485e-7,0.001648947,0.000052081665,0.00005285984,0.75496686,0.0010322385,0.21901467],"study_design_scores_gemma":[0.0009892352,0.000078621124,0.31865194,0.000085512154,0.0000032410328,0.0000040856708,0.0041392357,0.0088070715,0.000027656342,0.01457441,0.65246534,0.00017366964],"about_ca_topic_score_codex":0.000042358475,"about_ca_topic_score_gemma":0.0002963128,"teacher_disagreement_score":0.7403924,"about_ca_system_score_codex":0.00057044113,"about_ca_system_score_gemma":0.010410825,"threshold_uncertainty_score":0.9951992},"labels":[],"label_agreement":null},{"id":"W3175567150","doi":"10.1016/j.ssci.2021.105384","title":"Human behaviour in informal settlement fires in Costa Rica","year":2021,"lang":"en","type":"article","venue":"Safety Science","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Human settlement; Informal settlements; Settlement (finance); Context (archaeology); Geography; Environmental planning; Environmental resource management; Archaeology; Business; Environmental science; Economic growth","score_opus":0.014704077531791352,"score_gpt":0.32187336835904395,"score_spread":0.3071692908272526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175567150","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":[0.773797,0.000044236276,0.0000121277,0.0019218407,0.00022479043,0.00016944503,0.000004357449,0.000020882842,0.22380535],"genre_scores_gemma":[0.9967996,0.000043951186,0.0001183086,0.000249946,0.000025434969,0.000007738534,0.0000030446208,0.0000022178087,0.0027497977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981388,0.00006877954,0.0002484681,0.00029123545,0.00072862726,0.00052412157],"domain_scores_gemma":[0.99957377,0.000025301753,0.000049356117,0.0001966673,0.00005677027,0.000098160366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015111157,0.000072875795,0.00009660787,0.00018231319,0.0005232604,0.00015699842,0.00063010765,0.000030134326,0.00031927644],"category_scores_gemma":[0.00014484768,0.00007141259,0.000024710878,0.0019399776,0.00078563276,0.0008247746,0.00029581465,0.00011066224,0.000039259092],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070178125,0.00017365381,0.89426935,0.00000875443,0.0000012659581,0.00007795975,0.027349293,0.00026045094,0.0005115227,0.060850836,0.0005015412,0.01598836],"study_design_scores_gemma":[0.00023217611,0.000015118647,0.96595067,0.00003308429,0.0000014200677,2.8270856e-7,0.014520836,0.000047207875,0.000105114465,0.00072220014,0.018256288,0.00011559718],"about_ca_topic_score_codex":0.0013539748,"about_ca_topic_score_gemma":0.02454999,"teacher_disagreement_score":0.2230026,"about_ca_system_score_codex":0.00016159429,"about_ca_system_score_gemma":0.00040275409,"threshold_uncertainty_score":0.9932494},"labels":[],"label_agreement":null},{"id":"W3198906799","doi":"10.1016/j.ssci.2021.105468","title":"Safety in the Quebec construction industry: An overview of and possible improvements in hazardous energy control using lockout on construction sites by electricians, pipefitters, refrigeration mechanics and construction millwrights","year":2021,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Control (management); Engineering; Work (physics); Obligation; Operations management; Transport engineering; Economics; Management; Mechanical engineering; Law","score_opus":0.055539412264469,"score_gpt":0.4020187761274276,"score_spread":0.3464793638629586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198906799","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":[0.9919348,0.00081858196,0.003269091,0.0021232541,0.0003661491,0.0009545175,0.00015143954,0.000017265515,0.0003649382],"genre_scores_gemma":[0.99626637,0.0011546959,0.0014898519,0.0008818499,0.000065777866,0.000029555962,0.00007897771,0.000009519944,0.000023383243],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99635446,0.0010312875,0.0008282958,0.0005510107,0.00067868305,0.00055625633],"domain_scores_gemma":[0.99835867,0.00046167217,0.0003434529,0.00027647903,0.00040118129,0.00015852557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023291889,0.00017749768,0.00032672676,0.00035539755,0.0011337175,0.000039856146,0.00015632944,0.00029839194,0.00003491842],"category_scores_gemma":[0.00029667193,0.00014584122,0.000022605393,0.0015180323,0.0005008894,0.0006365308,0.00005357786,0.0007377004,9.892594e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002155876,0.0002867817,0.24681671,0.00049741025,0.000024120245,0.000015739246,0.0027312567,0.00039183616,0.050544113,0.44451937,0.000044572313,0.25197223],"study_design_scores_gemma":[0.017587906,0.0017373,0.6767222,0.002145597,0.00009345646,0.00035333305,0.031301487,0.20700042,0.008803707,0.049887404,0.0030198598,0.001347317],"about_ca_topic_score_codex":0.008578474,"about_ca_topic_score_gemma":0.012024194,"teacher_disagreement_score":0.4299055,"about_ca_system_score_codex":0.00058697123,"about_ca_system_score_gemma":0.0018956105,"threshold_uncertainty_score":0.9980235},"labels":[],"label_agreement":null},{"id":"W3205915011","doi":"10.1016/j.ssci.2021.105500","title":"Capsizing accident scenario model for small fishing trawler","year":2021,"lang":"en","type":"article","venue":"Safety Science","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Fishing; Scale (ratio); Commercial fishing; Bayesian network; Fishing industry; Poison control; Engineering; Transport engineering; Marine engineering; Computer science; Fishery; Geography; Cartography","score_opus":0.026231374742486057,"score_gpt":0.24437397426536112,"score_spread":0.21814259952287507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205915011","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":[0.081806295,0.00027438748,0.8745495,0.0018722415,0.0010918793,0.00034951643,0.000033781493,0.00043391614,0.039588492],"genre_scores_gemma":[0.97338474,0.000036886453,0.025179816,0.0003145496,0.000059252165,0.000012714205,0.000013278422,0.000015704867,0.0009830405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989206,0.000007920782,0.00021704602,0.00026515668,0.00023396568,0.0003553102],"domain_scores_gemma":[0.9994101,0.00005869145,0.000019596719,0.00023457209,0.0001475427,0.00012949726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054168364,0.000101906444,0.000116436335,0.00005363524,0.00029258223,0.00012379176,0.0002777475,0.000046369536,0.00007620342],"category_scores_gemma":[0.00015633026,0.00010853156,0.000062721134,0.00042102629,0.0000716314,0.0003515349,0.0000617517,0.00013086203,0.000016358817],"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":[0.000012594103,0.00002578449,0.00080115045,0.00008263008,0.000011922809,0.000008643029,0.0023746511,0.8917096,0.049602337,0.010072688,0.00092724303,0.04437072],"study_design_scores_gemma":[0.0002284588,0.0000036844854,0.0032333964,0.000032099004,0.0000049470373,0.0000075329845,0.00009061006,0.9808989,0.010446104,0.0010082592,0.003887436,0.00015856436],"about_ca_topic_score_codex":0.000010746885,"about_ca_topic_score_gemma":0.0001568867,"teacher_disagreement_score":0.89157844,"about_ca_system_score_codex":0.00014940415,"about_ca_system_score_gemma":0.00020958333,"threshold_uncertainty_score":0.44257885},"labels":[],"label_agreement":null},{"id":"W3209155894","doi":"10.1016/j.ssci.2021.105528","title":"Identification of human errors and influencing factors: A machine learning approach","year":2021,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":46,"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":"Engineering and Physical Sciences Research Council","keywords":"Human reliability; Computer science; Classifier (UML); Process (computing); Human error; Artificial intelligence; Reliability (semiconductor); Machine learning; Profiling (computer programming); Identification (biology); Human intelligence; Risk analysis (engineering); Knowledge management; Data science","score_opus":0.08914070152563656,"score_gpt":0.4599645810235378,"score_spread":0.37082387949790124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209155894","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":[0.9924383,0.00016539903,0.00078557676,0.00034444916,0.00011725195,0.0003110155,0.000018500958,0.000026956599,0.005792508],"genre_scores_gemma":[0.9989158,0.00004708135,0.0003386009,0.000055838187,0.000031955296,0.000015390317,0.000033179967,0.000006069731,0.0005560916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978282,0.0003139778,0.0005326242,0.00032959983,0.0005916081,0.0004039823],"domain_scores_gemma":[0.9985234,0.000361632,0.00020916532,0.00022636304,0.000522508,0.00015689916],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002805613,0.000074108924,0.00015736136,0.00015445937,0.0021556232,0.000011195015,0.00019329698,0.00006280729,0.0000929572],"category_scores_gemma":[0.0015782816,0.00006456764,0.000022593647,0.000960405,0.00034895324,0.00029493278,0.00020430563,0.00048402124,0.000015284202],"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":[0.000032241962,0.00004184493,0.8923459,0.00044296254,0.0000033695994,8.291455e-7,0.0065020714,0.00014335463,0.08302967,0.015512672,0.0000057687503,0.0019392872],"study_design_scores_gemma":[0.0002534984,0.000038089314,0.98827434,0.00006506695,0.000002978406,0.0000012244321,0.0034167345,0.0055044093,0.0014789839,0.00061655394,0.00027550876,0.00007259552],"about_ca_topic_score_codex":0.00045367313,"about_ca_topic_score_gemma":0.00007893813,"teacher_disagreement_score":0.09592843,"about_ca_system_score_codex":0.0001290034,"about_ca_system_score_gemma":0.0010764946,"threshold_uncertainty_score":0.9991434},"labels":[],"label_agreement":null},{"id":"W3214002486","doi":"10.1016/j.ssci.2021.105560","title":"Optimal location of accident relief facilities in a railway network","year":2021,"lang":"en","type":"article","venue":"Safety Science","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","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":"McMaster University","funders":"","keywords":"Redundancy (engineering); Transport engineering; Decision maker; Computer science; Operations research; Engineering; Reliability engineering","score_opus":0.01796375118858412,"score_gpt":0.2364384478194947,"score_spread":0.21847469663091057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214002486","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":[0.90300626,0.00061919604,0.01403129,0.00647382,0.0019497451,0.0004976817,0.0000025134962,0.00011618817,0.073303334],"genre_scores_gemma":[0.9976059,0.000040095823,0.00055326597,0.0004480323,0.0001073075,0.000008998327,0.000010396487,0.0000034670836,0.0012225207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9986165,0.000010232191,0.00035988897,0.00030950198,0.0004266367,0.00027720362],"domain_scores_gemma":[0.9991324,0.000013467796,0.00006309626,0.0003066973,0.00047289865,0.0000114597815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011404596,0.00008740997,0.00012660003,0.0001675711,0.00015553992,0.00008177076,0.00031580287,0.000022402754,0.000489787],"category_scores_gemma":[0.00041982136,0.00008925565,0.00003053499,0.0030398576,0.00018826794,0.0010810335,0.0002801748,0.000062529725,0.00017346456],"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":[0.00006526045,0.00019162527,0.070296235,0.0004243038,0.000009684226,0.0000068880668,0.00067690137,0.72191465,0.0006049155,0.19225283,0.0024493183,0.011107357],"study_design_scores_gemma":[0.0006068928,0.000012863216,0.79797167,0.00018225383,0.000013700417,9.94375e-7,0.0038200722,0.08252691,0.00042297598,0.0030646778,0.111016646,0.00036035673],"about_ca_topic_score_codex":0.0011018096,"about_ca_topic_score_gemma":0.0016954652,"teacher_disagreement_score":0.72767544,"about_ca_system_score_codex":0.00006105481,"about_ca_system_score_gemma":0.00013899879,"threshold_uncertainty_score":0.5362824},"labels":[],"label_agreement":null},{"id":"W3216105276","doi":"10.1016/j.ssci.2021.105599","title":"The influence of age on fatal work accidents and lost days in Chile between 2015 and 2019","year":2021,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Occupational safety and health; Demography; Workforce; Injury prevention; Poison control; Odds; Logistic regression; Suicide prevention; Medicine; Human factors and ergonomics; Gerontology; Odds ratio; Environmental health; Work (physics); Medical emergency; Forensic engineering; Engineering","score_opus":0.05148389594783736,"score_gpt":0.45776594483039745,"score_spread":0.4062820488825601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216105276","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":[0.9921711,0.0003217632,0.0000056586937,0.0040097134,0.00012039523,0.0004050431,0.000053410087,0.000004708249,0.002908212],"genre_scores_gemma":[0.9985578,0.000558469,0.00008088356,0.00023575145,0.00004660676,0.000010222462,0.000008992694,0.0000038991166,0.00049735897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99804515,0.00024303036,0.0003654909,0.00028698906,0.0005733974,0.00048595175],"domain_scores_gemma":[0.9972598,0.0019609332,0.00009230273,0.00028188704,0.00019202018,0.00021303468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002536682,0.00007185006,0.00014887404,0.00008506769,0.0010221305,0.000016210422,0.00027889843,0.00006180521,0.00002784343],"category_scores_gemma":[0.0013854468,0.00005099357,0.000010959784,0.0009116364,0.00057743426,0.00022078636,0.00038183847,0.0004472858,0.000075575925],"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":[0.000109458226,0.000012195469,0.98992574,0.000041307572,0.0000012653348,0.000004254864,0.0005970338,0.00002407889,0.0001251173,0.0015732688,0.00017814321,0.0074081263],"study_design_scores_gemma":[0.00033685728,0.000044062817,0.9969074,0.00021755448,9.868786e-7,5.741096e-7,0.0002261943,0.000015444106,0.00003496113,0.0007573604,0.0014099482,0.000048663824],"about_ca_topic_score_codex":0.00032464383,"about_ca_topic_score_gemma":0.0003602285,"teacher_disagreement_score":0.007359463,"about_ca_system_score_codex":0.00008056804,"about_ca_system_score_gemma":0.0010268707,"threshold_uncertainty_score":0.78615046},"labels":[],"label_agreement":null},{"id":"W4200378039","doi":"10.1016/j.ssci.2021.105580","title":"Occupational health and safety in initial vocational training: Reflection on the issues of prescription and integration in teaching and learning activities","year":2021,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","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":"Université du Québec à Montréal","funders":"","keywords":"Context (archaeology); Vocational education; Internship; Occupational safety and health; Engineering; Medical education; Human factors and ergonomics; Set (abstract data type); Scope (computer science); Poison control; Work (physics); Knowledge management; Psychology; Applied psychology; Medicine; Pedagogy; Computer science; Medical emergency","score_opus":0.1801893673805639,"score_gpt":0.5133925530294351,"score_spread":0.3332031856488712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200378039","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":[0.9794102,0.0002976784,0.00057459605,0.01464083,0.0001532017,0.0005530902,0.00001628876,0.000011829005,0.004342313],"genre_scores_gemma":[0.9979581,0.0004544681,0.0008001024,0.00050701183,0.00006803748,0.00004092359,0.000033622204,0.000004495625,0.00013321599],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9968547,0.0016075196,0.00045769077,0.00029851394,0.00046012478,0.0003214371],"domain_scores_gemma":[0.99727875,0.002243186,0.00015066146,0.00008725601,0.00013703015,0.00010311347],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007352986,0.000082188155,0.00016098983,0.0002614562,0.0017661443,0.000019584084,0.00006293198,0.00005514933,0.000022268743],"category_scores_gemma":[0.00371459,0.00006603179,0.000008461692,0.00046632774,0.00033393517,0.00043655923,0.000082171915,0.0010294796,8.164396e-7],"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":[0.002590534,0.00013421618,0.31739452,0.00032648284,0.000004086766,0.000001407201,0.08264702,0.0002116679,0.002972001,0.19674106,0.000036506957,0.3969405],"study_design_scores_gemma":[0.0005105073,0.0002502019,0.972254,0.00042521258,6.370427e-7,0.0000035416763,0.0191499,0.004796041,0.000037899947,0.0019925837,0.0005216525,0.00005785266],"about_ca_topic_score_codex":0.0011359184,"about_ca_topic_score_gemma":0.0019834023,"teacher_disagreement_score":0.6548594,"about_ca_system_score_codex":0.0002414836,"about_ca_system_score_gemma":0.0020426866,"threshold_uncertainty_score":0.9995334},"labels":[],"label_agreement":null},{"id":"W4281640538","doi":"10.1016/j.ssci.2022.105839","title":"Fatigue measures and risk assessment tools for first responder fatigue risk management: A scoping review with considerations of the multidimensionality of fatigue","year":2022,"lang":"en","type":"review","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Waterloo; Conestoga College","funders":"","keywords":"Burnout; Occupational safety and health; Applied psychology; Human factors and ergonomics; Reliability (semiconductor); Poison control; Risk management; Industrial and organizational psychology; Psychology; Medicine; Clinical psychology; Medical emergency; Social psychology","score_opus":0.36722438415621783,"score_gpt":0.5509913026121158,"score_spread":0.183766918455898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281640538","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":[0.000026076026,0.96794975,0.003821204,0.0008028268,0.00037101918,0.022341898,0.0024762677,0.000023421499,0.0021875156],"genre_scores_gemma":[0.00042712042,0.98830986,0.007983343,0.00016179908,0.000032628985,0.002906718,0.000091344285,0.000029308469,0.000057871675],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9906005,0.0035876133,0.0021912826,0.00086312805,0.0020504708,0.0007069515],"domain_scores_gemma":[0.976922,0.01801346,0.0026366673,0.0011654592,0.0010155658,0.00024686466],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.015521536,0.0003761164,0.0016204263,0.00030407144,0.0055968147,0.000024761572,0.00072063535,0.00014758075,0.0003516978],"category_scores_gemma":[0.007688385,0.00023251594,0.00028121442,0.0017605401,0.0010543122,0.0003609604,0.0007584913,0.0012240804,0.000001903469],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022828912,0.00015891252,0.008283856,0.5096704,0.00028124586,0.0000024307556,0.0006157595,0.00024291701,3.107558e-7,0.02902476,0.00052084523,0.45097026],"study_design_scores_gemma":[0.0020588264,0.00044659164,0.044756882,0.6383272,0.001710797,0.000010139837,0.0005860897,0.00035326468,0.0000014317741,0.0016838454,0.3092794,0.0007855091],"about_ca_topic_score_codex":0.00041624586,"about_ca_topic_score_gemma":0.0008524683,"teacher_disagreement_score":0.45018476,"about_ca_system_score_codex":0.0004887917,"about_ca_system_score_gemma":0.009567877,"threshold_uncertainty_score":0.99604696},"labels":[],"label_agreement":null},{"id":"W4286449569","doi":"10.1016/j.ssci.2022.105879","title":"How things changed during the COVID-19 pandemic’s first year: A longitudinal, mixed-methods study of organisational resilience processes among healthcare workers","year":2022,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Haute école Spécialisée de Suisse Occidentale","keywords":"Resilience (materials science); Psychological resilience; Health care; Pandemic; Psychology; Coronavirus disease 2019 (COVID-19); Longitudinal study; Political science; Medicine; Social psychology","score_opus":0.1278089897554737,"score_gpt":0.48599764377826365,"score_spread":0.35818865402279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286449569","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":[0.95372,0.00025263813,0.0012575607,0.040172014,0.00073749886,0.0034183662,0.00010357197,0.00010491766,0.00023343464],"genre_scores_gemma":[0.99689233,0.000074124895,0.0007926261,0.0007098432,0.00011975499,0.0008049103,0.000010384148,0.000017456707,0.0005785895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9934389,0.001970086,0.0006433896,0.00072724913,0.0022578093,0.00096258876],"domain_scores_gemma":[0.9935048,0.0040663285,0.0005224497,0.00061748247,0.0007621951,0.000526698],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0125185475,0.00017502427,0.00029520353,0.0003120178,0.013531006,0.000037334357,0.0013948526,0.00006865341,0.00035227317],"category_scores_gemma":[0.008099724,0.00013276718,0.000041401938,0.0041158074,0.0009082421,0.0005819335,0.001177882,0.0012163601,0.0000097643],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039875673,0.000115867966,0.9755585,0.0006952274,0.00000645186,0.000003151137,0.02166594,0.00046025185,0.00003941788,0.00039359726,0.00020092953,0.0004619166],"study_design_scores_gemma":[0.0007039363,0.00027714125,0.8948925,0.000049109567,0.0000053018684,0.0000070911374,0.10074805,0.0001630629,0.000006992345,0.00026744016,0.0027533083,0.00012602973],"about_ca_topic_score_codex":0.0038961472,"about_ca_topic_score_gemma":0.0059218667,"teacher_disagreement_score":0.08066595,"about_ca_system_score_codex":0.001532367,"about_ca_system_score_gemma":0.008145133,"threshold_uncertainty_score":0.99747777},"labels":[],"label_agreement":null},{"id":"W4309564623","doi":"10.1016/j.ssci.2022.106008","title":"Estimating the financial benefits of employers’ occupational health and safety expenditures","year":2022,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institute for Work & Health; Public Health Ontario; University of Toronto","funders":"","keywords":"Occupational safety and health; Poison control; Injury prevention; Business; Suicide prevention; Human factors and ergonomics; Finance; Environmental health; Transport engineering; Actuarial science; Engineering; Medicine","score_opus":0.08350619528012221,"score_gpt":0.45172261128661456,"score_spread":0.36821641600649235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309564623","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":[0.92041516,0.0032260392,0.005952139,0.048361573,0.005018624,0.0052297693,0.0014204329,0.00013153056,0.0102447225],"genre_scores_gemma":[0.99385136,0.0000564339,0.002508701,0.0029869599,0.00024246574,0.00017848608,0.000050574687,0.0000092793025,0.000115717165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99612314,0.0005988707,0.00070483156,0.00037178356,0.0014001289,0.00080123014],"domain_scores_gemma":[0.9972695,0.0015301916,0.00035652838,0.0003227364,0.0002117696,0.0003092823],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0066668224,0.00010928009,0.00021649107,0.00016540158,0.0111992685,0.00000825837,0.00058119715,0.00003666596,0.000519522],"category_scores_gemma":[0.00137238,0.00008205743,0.000036133908,0.0007795691,0.00057862926,0.00020031701,0.00076251134,0.0007171157,0.000015585918],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029447046,0.00017253408,0.53516674,0.0005467735,0.000009767941,0.0000018641193,0.026702445,0.021478277,0.00006185577,0.23148063,0.0035649608,0.17786942],"study_design_scores_gemma":[0.0005254763,0.00024746463,0.98094314,0.000054854663,0.000001399016,0.000004861063,0.0018406251,0.006452771,0.000002658665,0.001458451,0.008377772,0.00009051529],"about_ca_topic_score_codex":0.0007357505,"about_ca_topic_score_gemma":0.00017536819,"teacher_disagreement_score":0.4457764,"about_ca_system_score_codex":0.00038083154,"about_ca_system_score_gemma":0.0067753466,"threshold_uncertainty_score":0.9988553},"labels":[],"label_agreement":null},{"id":"W4309778904","doi":"10.1016/j.ssci.2022.106011","title":"An evaluation of violence prevention education in healthcare","year":2022,"lang":"en","type":"article","venue":"Safety Science","topic":"Workplace Violence and Bullying","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Population and Public Health; University of British Columbia","funders":"","keywords":"Health care; Context (archaeology); Poison control; Psychology; Psychosocial; Nursing; Focus group; Workplace violence; Occupational safety and health; Suicide prevention; Medical education; Public relations; Medicine; Sociology; Political science; Environmental health; Psychiatry","score_opus":0.03678428663325907,"score_gpt":0.421702934047756,"score_spread":0.38491864741449694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309778904","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":[0.9951943,0.00025731843,0.00005997445,0.0011024214,0.00044852126,0.00040681966,0.0000022269558,0.000015048311,0.0025133563],"genre_scores_gemma":[0.9994676,0.000098002696,0.00021826687,0.00009331134,0.000037136135,0.00004889538,0.0000041742023,0.0000020092402,0.000030591236],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99724317,0.0006234241,0.00019026933,0.00024262902,0.0014725389,0.0002279924],"domain_scores_gemma":[0.99933136,0.000026573443,0.000120862926,0.00017557196,0.0002785107,0.000067122484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0103100985,0.000039603547,0.00006268473,0.00020932865,0.0009764712,0.000020842514,0.00045581663,0.000018121304,0.00019892084],"category_scores_gemma":[0.00022169572,0.00004484568,0.000017548358,0.0017907603,0.00030801242,0.0006143867,0.000050125163,0.00010013705,0.0000034365123],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022565577,0.00025054565,0.19239458,0.000007200454,4.502447e-7,1.2554263e-7,0.0073210234,0.0029038817,0.0023778197,0.030842144,0.000009683901,0.76387],"study_design_scores_gemma":[0.00058724446,0.0004231278,0.6326264,0.0005619521,0.000018123064,0.0000021307935,0.21056555,0.010201416,0.0010083452,0.14226781,0.0013721221,0.00036580008],"about_ca_topic_score_codex":0.006508577,"about_ca_topic_score_gemma":0.0022951728,"teacher_disagreement_score":0.7635042,"about_ca_system_score_codex":0.0006273211,"about_ca_system_score_gemma":0.006909186,"threshold_uncertainty_score":0.9987207},"labels":[],"label_agreement":null},{"id":"W4319761770","doi":"10.1016/j.ssci.2023.106080","title":"A proposed validation framework for the system theoretic process analysis (STPA) technique","year":2023,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Credibility; Process (computing); Risk analysis (engineering); Computer science; Hazard; Domain (mathematical analysis); Hazard analysis; Set (abstract data type); Management science; Data mining; Engineering; Reliability engineering","score_opus":0.07441700608321994,"score_gpt":0.5091015168252585,"score_spread":0.43468451074203857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319761770","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":[0.02250665,0.00005096602,0.93234104,0.020307243,0.00118116,0.014689375,0.00020868618,0.0007682325,0.007946661],"genre_scores_gemma":[0.9938287,0.000032172567,0.0029528013,0.00018458194,0.00018308645,0.0024482764,0.000038834212,0.000013454135,0.00031810626],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99681044,0.00033967025,0.00050385017,0.00044613075,0.0010334196,0.00086650124],"domain_scores_gemma":[0.9934143,0.0046995613,0.00020361973,0.0005676045,0.0009192615,0.00019564478],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.011065168,0.000113156515,0.00021311786,0.00047442393,0.005176591,0.00002932588,0.0008163631,0.0001399034,0.00009328299],"category_scores_gemma":[0.0032755905,0.00006933904,0.000095413634,0.009113586,0.0004850644,0.00019251225,0.00013067816,0.00048462214,0.00034999364],"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":[0.000509232,0.000029798406,0.043109663,0.0018174676,0.000050428276,0.0000014500735,0.0030639581,0.0013385353,0.00022915173,0.9427165,0.000089236186,0.007044583],"study_design_scores_gemma":[0.0008601247,0.0003284194,0.54056233,0.0009822234,0.0002750832,0.0000026018963,0.017290412,0.29517257,0.0013090019,0.13968305,0.0030307758,0.0005034202],"about_ca_topic_score_codex":0.00009215314,"about_ca_topic_score_gemma":0.0000227166,"teacher_disagreement_score":0.97132206,"about_ca_system_score_codex":0.00033762297,"about_ca_system_score_gemma":0.0021975383,"threshold_uncertainty_score":0.99611855},"labels":[],"label_agreement":null},{"id":"W4320516562","doi":"10.1016/j.ssci.2023.106084","title":"Validation of system safety hazard analysis in safety-critical industries: An interview study with industry practitioners","year":2023,"lang":"en","type":"article","venue":"Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hazard; Credibility; Hazard analysis; Occupational safety and health; System safety; Context (archaeology); Risk analysis (engineering); Work (physics); Engineering; Business; Medicine; Reliability engineering; Political science","score_opus":0.10286845244625972,"score_gpt":0.41047532886914795,"score_spread":0.3076068764228882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320516562","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":[0.97361743,0.000029620234,0.017090661,0.003945604,0.00030696348,0.00068585196,0.00014457495,0.00015635123,0.0040229233],"genre_scores_gemma":[0.9991216,0.000045502828,0.00042490542,0.000050595194,0.00004112031,0.000021555194,0.000042363103,0.0000135761875,0.00023878345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98928475,0.0017021366,0.0022366487,0.0014938441,0.0045782235,0.00070438744],"domain_scores_gemma":[0.99367446,0.0020597295,0.00069490675,0.0017503396,0.0014152122,0.00040537477],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.029594593,0.00031426825,0.0010968869,0.0037582268,0.00077192154,0.00035797228,0.0021630428,0.00025755752,0.00028635937],"category_scores_gemma":[0.005211647,0.0002300172,0.00021435936,0.053512678,0.001320611,0.0029305276,0.00041885572,0.0007699932,0.00016346703],"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":[0.0010069378,0.00082675595,0.7647945,0.000048547114,0.00038469225,0.00014140841,0.008396895,0.17266932,0.00022820706,0.008268695,0.00009566994,0.043138362],"study_design_scores_gemma":[0.0010800877,0.00069780514,0.8158851,0.00021022769,0.0005810921,0.00001520834,0.14212175,0.036817454,0.00045043667,0.00095752295,0.00065906945,0.00052423775],"about_ca_topic_score_codex":0.00045734507,"about_ca_topic_score_gemma":0.0012016173,"teacher_disagreement_score":0.13585186,"about_ca_system_score_codex":0.00043996412,"about_ca_system_score_gemma":0.0009796632,"threshold_uncertainty_score":0.9992366},"labels":[],"label_agreement":null},{"id":"W4320527356","doi":"10.1016/j.ssci.2023.106066","title":"Application of systems thinking accident analysis methods: A review for railways","year":2023,"lang":"en","type":"review","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Pacific Railway (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Sociotechnical system; Accident (philosophy); Accident analysis; Popularity; Qualitative analysis; Engineering; Risk analysis (engineering); Process (computing); Scopus; Computer science; Transport engineering; Forensic engineering; Qualitative research; Knowledge management; Psychology","score_opus":0.3293561778404085,"score_gpt":0.6505822134563347,"score_spread":0.3212260356159262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320527356","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":[3.096201e-8,0.86265045,0.12414068,0.00027279538,0.00065332634,0.011016726,0.00021346544,0.000073449155,0.0009790557],"genre_scores_gemma":[0.0000021485625,0.98617464,0.0068015032,0.00012960503,0.00022884844,0.005791238,0.00038370484,0.000036297934,0.00045202236],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9919605,0.0019162009,0.0028236925,0.0009062,0.0014344325,0.0009589198],"domain_scores_gemma":[0.98490435,0.0100625,0.0020795562,0.0012004663,0.0014147643,0.00033837842],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.037948627,0.00029802878,0.00283499,0.0011729836,0.0017717282,0.000016781936,0.0017002882,0.00030193676,0.00004996987],"category_scores_gemma":[0.0055637145,0.00021931212,0.00075149763,0.011091205,0.0002397848,0.00018109016,0.0004575628,0.0007432006,0.00031233995],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011516485,0.000012832746,0.00012112272,0.23388383,0.00013330184,1.9947296e-7,0.00008721449,0.000013974119,1.6850089e-7,0.013231596,0.00027221887,0.752232],"study_design_scores_gemma":[0.00009663767,0.000032032924,0.00046502246,0.059540853,0.0013423304,7.4039923e-7,0.00007022797,0.0014925619,3.9592834e-8,0.00043450404,0.936332,0.0001930564],"about_ca_topic_score_codex":0.0005724556,"about_ca_topic_score_gemma":0.00008522323,"teacher_disagreement_score":0.9360598,"about_ca_system_score_codex":0.0008354879,"about_ca_system_score_gemma":0.006526274,"threshold_uncertainty_score":0.9995278},"labels":[],"label_agreement":null},{"id":"W4321382064","doi":"10.1016/j.ssci.2023.106102","title":"Enhancing construction safety: Machine learning-based classification of injury types","year":2023,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":76,"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":"Poison control; Occupational safety and health; Injury prevention; Engineering; Human factors and ergonomics; Suicide prevention; Medical emergency; Computer science; Forensic engineering; Artificial intelligence; Transport engineering; Machine learning; Medicine","score_opus":0.060683636059593836,"score_gpt":0.4495446168880338,"score_spread":0.38886098082844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321382064","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":[0.8680824,0.00025354183,0.028595485,0.028397225,0.005859652,0.004470857,0.0005624514,0.0012109196,0.06256745],"genre_scores_gemma":[0.99793345,0.000120034936,0.00075043825,0.00014443226,0.00010819268,0.000043098586,0.000078341895,0.000011914018,0.0008101075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971342,0.00039060047,0.0006611907,0.00034941925,0.000846317,0.0006182343],"domain_scores_gemma":[0.99740815,0.0011838456,0.00028388994,0.0002937024,0.0006219437,0.00020845688],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00485142,0.00009966715,0.00019501992,0.00048214395,0.0019701058,0.0000064221294,0.00030203312,0.00010706376,0.00046427967],"category_scores_gemma":[0.0023300569,0.00008913941,0.000040786206,0.002872397,0.0005948438,0.00022614659,0.000108098735,0.00057808566,0.00083850644],"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":[0.0024069587,0.00008324037,0.7042709,0.0010642338,0.000012226936,0.0000023357352,0.0016099241,0.002581917,0.07379039,0.05323603,0.0002501212,0.16069174],"study_design_scores_gemma":[0.0005656969,0.00019417696,0.91526115,0.00020885782,0.000005214073,6.4045037e-7,0.00077625876,0.061414417,0.00225404,0.0008101397,0.018366266,0.00014313863],"about_ca_topic_score_codex":0.00030170172,"about_ca_topic_score_gemma":0.00017511738,"teacher_disagreement_score":0.21099027,"about_ca_system_score_codex":0.0002873983,"about_ca_system_score_gemma":0.0028388274,"threshold_uncertainty_score":0.99993944},"labels":[],"label_agreement":null},{"id":"W4362634093","doi":"10.1016/j.ssci.2023.106154","title":"Dorsal suspension in full-body harnesses: Comparison of perceived discomfort, pressure and physiological response","year":2023,"lang":"en","type":"article","venue":"Safety Science","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","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; Université du Québec à Montréal; McGill University; Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Suspension (topology); Dorsum; Engineering; Simulation; Physical medicine and rehabilitation; Medicine; Anatomy","score_opus":0.05315363727207835,"score_gpt":0.4099987579732998,"score_spread":0.3568451207012215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362634093","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":[0.99806964,0.0001050152,0.00003617441,0.00043796448,0.00033307204,0.00046017038,0.000018958706,0.0000649315,0.00047404127],"genre_scores_gemma":[0.9991292,0.00011544689,0.0000906381,0.000051520678,0.00003071063,0.00001997119,0.000016117392,0.000006001554,0.00054044684],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977813,0.0005635098,0.00046775155,0.00040000558,0.0003341393,0.0004533375],"domain_scores_gemma":[0.9989356,0.00047158578,0.0001779765,0.00026992,0.00006179661,0.000083158455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025820662,0.00010895957,0.00030525206,0.00021865519,0.000562621,0.000008187575,0.0002870465,0.00011823014,0.000027082982],"category_scores_gemma":[0.00044723225,0.00008245279,0.0000332207,0.0011763481,0.0005710616,0.0002710672,0.00032295496,0.00035983446,0.000038080874],"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":[0.0012570878,0.00019200497,0.09378311,0.00013578564,0.000003904618,0.0000037725254,0.005169308,0.00004117948,0.8968767,0.0015008588,0.0004167761,0.0006195103],"study_design_scores_gemma":[0.0006534858,0.00014325567,0.9843836,0.0002348607,0.000007440717,6.367535e-7,0.003693895,0.009463849,0.000031401643,0.00062254013,0.00067033013,0.00009469894],"about_ca_topic_score_codex":0.00009700398,"about_ca_topic_score_gemma":0.00010404696,"teacher_disagreement_score":0.8968453,"about_ca_system_score_codex":0.000036395475,"about_ca_system_score_gemma":0.00021635141,"threshold_uncertainty_score":0.4327283},"labels":[],"label_agreement":null},{"id":"W4375953138","doi":"10.1016/j.ssci.2023.106180","title":"A machine learning and data analytics approach for predicting evacuation and identifying contributing factors during hazardous materials incidents on railways","year":2023,"lang":"en","type":"article","venue":"Safety Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Transport engineering; Hazardous waste; Emergency evacuation; Poison control; Derailment; SAFER; Computer science; Engineering; Risk analysis (engineering); Computer security; Track (disk drive); Medical emergency","score_opus":0.042628796689690496,"score_gpt":0.2880794701268235,"score_spread":0.245450673437133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375953138","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":[0.9755988,0.00010304309,0.022955488,0.000018628116,0.0002638166,0.0003169505,0.00019632751,0.00042940304,0.000117549134],"genre_scores_gemma":[0.99863774,0.00017172137,0.00083626393,0.0000033933688,0.00006514106,0.0000060518837,0.00022833397,0.000022270173,0.00002908131],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984204,0.000026082846,0.00029990677,0.00045997574,0.00032329085,0.0004703121],"domain_scores_gemma":[0.9993868,0.00017556293,0.00007701128,0.0002176237,0.000042330215,0.0001006654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020664313,0.00015700806,0.00020299984,0.00020413137,0.0009838814,0.000185337,0.00028559973,0.00005494996,0.0000024968724],"category_scores_gemma":[0.0007050403,0.00014366943,0.000015693533,0.00051412085,0.00011313877,0.00051375444,0.00038534906,0.00014553487,0.0000020395858],"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":[0.00023694134,0.000037625552,0.39334345,0.0013635106,0.00015024761,0.000013266576,0.0075291377,0.42675748,0.15202954,0.00070515444,0.000027326114,0.017806284],"study_design_scores_gemma":[0.00050296274,0.000022043181,0.24233766,0.0000695394,0.000022129132,0.0000066261578,0.0006605218,0.7532569,0.0029009648,0.000022308994,0.00003610323,0.00016223273],"about_ca_topic_score_codex":0.00001776679,"about_ca_topic_score_gemma":0.0000058593755,"teacher_disagreement_score":0.3264994,"about_ca_system_score_codex":0.00007796223,"about_ca_system_score_gemma":0.000024273642,"threshold_uncertainty_score":0.75673205},"labels":[],"label_agreement":null},{"id":"W4376870058","doi":"10.1016/j.ssci.2023.106192","title":"Relative influence of senior managers, direct supervisors, and coworkers on employee injuries and safety behaviors","year":2023,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","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 Calgary; Concordia University; Queen's University","funders":"","keywords":"Occupational safety and health; Social support; Psychology; Injury prevention; Human factors and ergonomics; Poison control; Suicide prevention; Applied psychology; Social psychology; Medicine; Environmental health","score_opus":0.0414727737485993,"score_gpt":0.42663259203375065,"score_spread":0.38515981828515133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376870058","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":[0.9897829,0.000084710155,0.000009851463,0.0026123587,0.00019383333,0.0009915333,0.00015689334,0.00009093583,0.006076934],"genre_scores_gemma":[0.99765277,0.000893362,0.0002522206,0.00027135995,0.00003107629,0.000055896577,0.000015952373,0.000014023426,0.0008133326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969171,0.00037489354,0.0005723381,0.0005314056,0.0008387098,0.00076552684],"domain_scores_gemma":[0.9963486,0.002472833,0.00014340822,0.00034358003,0.00031318743,0.00037836938],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0036042754,0.0001606722,0.00029767532,0.0004195622,0.0020358502,0.00001187889,0.0002898495,0.00012193059,0.000050189832],"category_scores_gemma":[0.0015625405,0.00013431573,0.000030015119,0.002017887,0.0015857685,0.0005279001,0.00039138715,0.0005377605,0.00010303944],"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":[0.00079477264,0.000016250739,0.977193,0.00024711038,0.000007112926,0.0000051574393,0.0064101405,0.00012504085,0.00030960774,0.007506774,0.0001871396,0.0071979137],"study_design_scores_gemma":[0.0004483994,0.00022377861,0.99455243,0.00030131417,0.0000070848864,6.2218055e-7,0.0021681709,0.00010556152,0.00004527527,0.0008859491,0.0011311506,0.00013026023],"about_ca_topic_score_codex":0.00075560727,"about_ca_topic_score_gemma":0.00016037586,"teacher_disagreement_score":0.017359452,"about_ca_system_score_codex":0.00014662468,"about_ca_system_score_gemma":0.0007726702,"threshold_uncertainty_score":0.99926335},"labels":[],"label_agreement":null},{"id":"W4381996523","doi":"10.1016/j.ssci.2023.106219","title":"Classification of collaborative applications and key variability factors to support the first step of risk assessment when integrating cobots","year":2023,"lang":"en","type":"article","venue":"Safety Science","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Polytechnique Montréal; Université du Québec à Montréal; Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Institut de recherche Robert-Sauve","keywords":"Workspace; Robotics; Robot; Key (lock); Human–robot interaction; Space (punctuation); Risk analysis (engineering); Risk assessment; Computer science; Engineering; Artificial intelligence; Process management; Human–computer interaction; Knowledge management; Computer security; Business","score_opus":0.014522836744556282,"score_gpt":0.26298101724669604,"score_spread":0.24845818050213975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381996523","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":[0.9277515,0.000018356293,0.05698065,0.00032762898,0.00031578867,0.0010854661,0.00022328449,0.00014265777,0.013154685],"genre_scores_gemma":[0.9988222,0.000022311913,0.001054055,0.0000038551552,0.00001168163,0.00004863772,0.0000063796692,0.000005523083,0.000025349871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909234,0.000035992478,0.00029946398,0.00019199417,0.00023519975,0.0001449863],"domain_scores_gemma":[0.99902046,0.0003677814,0.000102599726,0.00030522575,0.00015272184,0.000051192237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013768345,0.000082480816,0.00014359521,0.000104989515,0.0002239049,0.000030788087,0.0002649581,0.000030249046,0.00000991431],"category_scores_gemma":[0.00013300718,0.00005532359,0.000019183177,0.0009885196,0.00023415576,0.00012947565,0.000045151333,0.000089367866,0.000004732072],"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":[0.000047825044,0.00017229187,0.38392758,0.0016663511,0.00020192232,0.0000013732122,0.0817136,0.22987273,0.100690685,0.094004825,0.0021413523,0.10555945],"study_design_scores_gemma":[0.00012334164,0.00006131916,0.925519,0.00006231391,0.000015734498,0.0000010268642,0.007088119,0.04473575,0.014039601,0.0008309128,0.007372652,0.0001502172],"about_ca_topic_score_codex":0.00012972123,"about_ca_topic_score_gemma":0.00016078194,"teacher_disagreement_score":0.5415914,"about_ca_system_score_codex":0.000085850814,"about_ca_system_score_gemma":0.0001071172,"threshold_uncertainty_score":0.22560306},"labels":[],"label_agreement":null},{"id":"W4385275335","doi":"10.1016/j.ssci.2023.106267","title":"Risk mitigation strategies for automated current and future mine hoists","year":2023,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Institut de recherche Robert-Sauve","keywords":"Hoist (device); Shaft mining; Engineering; Fault tree analysis; Mine safety; Crash; Forensic engineering; Coal mining; Risk analysis (engineering); Transport engineering; Mining engineering; Reliability engineering; Computer science; Waste management; Mechanical engineering","score_opus":0.06331367594556758,"score_gpt":0.49573672132293206,"score_spread":0.4324230453773645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385275335","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":[0.9697867,0.000569824,0.0010013961,0.016272673,0.0036279468,0.0031426353,0.00067432696,0.0009095541,0.0040149204],"genre_scores_gemma":[0.9950579,0.0015810585,0.0014336514,0.00018037202,0.00094471476,0.00033811128,0.00018360409,0.00001364587,0.00026695515],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980496,0.00015331153,0.00032263246,0.00032984288,0.00048248857,0.00066213624],"domain_scores_gemma":[0.9981886,0.00081403455,0.00011957973,0.00018170553,0.00043398252,0.00026206995],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0027633219,0.00008910741,0.00012337866,0.00020412615,0.0025937113,0.000024183311,0.00019338782,0.00007122449,0.000040910072],"category_scores_gemma":[0.0005130048,0.00007227088,0.000023163142,0.0013014919,0.00029463499,0.00037614643,0.00009560128,0.0002954407,0.00017815181],"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":[0.0009258603,0.00008875041,0.28364888,0.0024951485,0.0000130348335,0.000003066318,0.008959244,0.00046774518,0.0012119323,0.1476791,0.020791074,0.53371614],"study_design_scores_gemma":[0.00050202187,0.0000707721,0.9010489,0.00005991057,0.000002917543,3.819029e-7,0.0017336209,0.042335678,0.000004955343,0.0062524383,0.047906067,0.000082358],"about_ca_topic_score_codex":0.00012485495,"about_ca_topic_score_gemma":0.00016256241,"teacher_disagreement_score":0.6174,"about_ca_system_score_codex":0.00011931499,"about_ca_system_score_gemma":0.0019352353,"threshold_uncertainty_score":0.9987048},"labels":[],"label_agreement":null},{"id":"W4387796256","doi":"10.1016/j.ssci.2023.106347","title":"Autoethnography in workplace safety: Revealing the suffering of unintentional first responders in the Canadian trucking industry and beyond","year":2023,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Autoethnography; Psychosocial; Context (archaeology); Occupational safety and health; Human factors and ergonomics; Poison control; Hazard; Public relations; Qualitative research; Engineering; Engineering ethics; Sociology; Psychology; Medicine; Political science; Psychotherapist; Environmental health","score_opus":0.08747720949442872,"score_gpt":0.4364300692244017,"score_spread":0.348952859729973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387796256","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":[0.89836824,0.00014627227,0.000022538086,0.084868714,0.00042735352,0.0012531301,0.00006743937,0.000024055733,0.014822253],"genre_scores_gemma":[0.9985932,0.00011233989,0.0000815563,0.0009357737,0.00004369168,0.000053709493,0.000011987827,0.0000069773655,0.00016073222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99679315,0.0006092444,0.00058159337,0.00030052988,0.0008013514,0.00091411476],"domain_scores_gemma":[0.99592465,0.0033068603,0.00011254351,0.0003000615,0.00014864028,0.00020723858],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01591471,0.000098340395,0.00015559871,0.0009820207,0.0030045535,0.000021811367,0.00063658046,0.00018272207,0.000056352586],"category_scores_gemma":[0.001664464,0.000066225286,0.000030082272,0.0064011323,0.0008502823,0.00021451506,0.00016946254,0.0016722638,0.000012733984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022176781,0.000009634413,0.955257,0.00011682087,0.000002479468,0.0000105465915,0.013247781,0.0012194326,0.000021856906,0.026773049,0.00019434348,0.0029252658],"study_design_scores_gemma":[0.00034147818,0.000020795955,0.9765144,0.00032336047,0.0000011558326,0.0000017111893,0.014594198,0.0034130756,0.0000012412015,0.001687731,0.0030348944,0.00006593453],"about_ca_topic_score_codex":0.08124772,"about_ca_topic_score_gemma":0.54203534,"teacher_disagreement_score":0.46078762,"about_ca_system_score_codex":0.00042201343,"about_ca_system_score_gemma":0.0031436442,"threshold_uncertainty_score":0.9982934},"labels":[],"label_agreement":null},{"id":"W4388756912","doi":"10.1016/j.ssci.2023.106378","title":"Directional analysis of community wildfire evacuation capabilities","year":2023,"lang":"en","type":"article","venue":"Safety Science","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Wildland–urban interface; Preparedness; Foothills; Environmental resource management; Threatened species; Poison control; Wildfire suppression; Environmental planning; Environmental science; Fire protection; Geography; Habitat; Ecology; Engineering; Civil engineering; Cartography","score_opus":0.012395988442086319,"score_gpt":0.2548418028388203,"score_spread":0.242445814396734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388756912","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":[0.98886514,0.0000037902557,0.00017638004,0.00020283373,0.00020059946,0.00012354991,0.000022773356,0.000087118045,0.010317817],"genre_scores_gemma":[0.9995343,0.000003512317,0.00012367006,0.00003472328,0.000008411714,0.000009743774,0.000015198148,0.0000037458992,0.00026668256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838954,0.00019650937,0.00022588896,0.00018861488,0.0007653382,0.00023411639],"domain_scores_gemma":[0.9989833,0.00039441272,0.00009480418,0.00043898122,0.000018533146,0.00006995262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034425326,0.00007723425,0.00016378684,0.00026335745,0.00056142645,0.00001814048,0.0004934196,0.000027407483,0.00044474512],"category_scores_gemma":[0.0005163684,0.00007051476,0.00007649817,0.007129613,0.0010175332,0.00043187715,0.00024195261,0.000104645325,0.000315081],"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":[0.000025963554,0.00012325466,0.8144424,0.00002445491,0.0000898628,9.204561e-7,0.008290334,0.04261264,0.10942752,0.00042418423,0.0007778045,0.023760682],"study_design_scores_gemma":[0.000050342736,0.000030328647,0.9415075,0.000004676269,0.00003400446,6.083029e-7,0.00043156988,0.055052973,0.0020853216,0.00028529164,0.00044519728,0.00007215302],"about_ca_topic_score_codex":0.006458732,"about_ca_topic_score_gemma":0.0017012585,"teacher_disagreement_score":0.12706515,"about_ca_system_score_codex":0.0002875042,"about_ca_system_score_gemma":0.000032820288,"threshold_uncertainty_score":0.9763714},"labels":[],"label_agreement":null},{"id":"W4388800878","doi":"10.1016/j.ssci.2023.106379","title":"Modelling a major maritime disaster scenario using the universal modelling framework for sequential decisions","year":2023,"lang":"en","type":"article","venue":"Safety Science","topic":"Maritime Navigation and Safety","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":"Defence Research and Development Canada","funders":"","keywords":"Asset (computer security); Context (archaeology); Operations research; Risk analysis (engineering); Computer science; Poison control; Decision support system; Variety (cybernetics); Air traffic control; Computer security; Business; Engineering; Geography","score_opus":0.056931278208898796,"score_gpt":0.2876447791241048,"score_spread":0.230713500915206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388800878","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":[0.023712914,0.000030115532,0.9734581,0.00032841388,0.00064844836,0.00031541003,0.000054402335,0.00028892164,0.0011632359],"genre_scores_gemma":[0.8804859,0.000049260856,0.1189572,0.00008045501,0.00016071973,0.000010014303,0.000017155482,0.000034045046,0.00020523829],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983847,0.000021572178,0.00027754388,0.0003223749,0.00044430952,0.00054946245],"domain_scores_gemma":[0.9989332,0.00042103327,0.00003369074,0.00036075432,0.00011486861,0.0001364583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089882105,0.00015454854,0.00014332973,0.00016529177,0.00097015087,0.00015664453,0.000536625,0.00009144952,0.00006991377],"category_scores_gemma":[0.00007713455,0.00013051387,0.00010247875,0.0014101925,0.0002772306,0.0004316001,0.00013692488,0.00026430096,0.000051788575],"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":[0.000016750855,0.0000038638887,0.000011644011,0.000008497317,0.0000068024046,0.0000019823467,0.0006607569,0.96956605,0.00035698814,0.02822109,0.000036142694,0.0011094203],"study_design_scores_gemma":[0.00017914595,0.000006568006,0.000013451158,0.00008622757,0.000015543756,0.000004588707,0.0003404793,0.9771984,0.0001249496,0.020131834,0.0017267318,0.00017208513],"about_ca_topic_score_codex":0.00005433956,"about_ca_topic_score_gemma":0.0000069242947,"teacher_disagreement_score":0.856773,"about_ca_system_score_codex":0.00017366999,"about_ca_system_score_gemma":0.00013482629,"threshold_uncertainty_score":0.7461714},"labels":[],"label_agreement":null},{"id":"W4389636096","doi":"10.1016/j.ssci.2023.106393","title":"Steering towards the unknown: The wellbeing of long-haul truck drivers during the Covid-19 pandemic","year":2023,"lang":"en","type":"article","venue":"Safety Science","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Truck; Snowball sampling; Pandemic; Thematic analysis; Occupational safety and health; Work (physics); Business; Human factors and ergonomics; Poison control; Coronavirus disease 2019 (COVID-19); Transport engineering; Engineering; Marketing; Public relations; Environmental health; Qualitative research; Medicine; Political science; Sociology; Disease","score_opus":0.09659298104840475,"score_gpt":0.4095395267801428,"score_spread":0.3129465457317381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389636096","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":[0.94314116,0.0001715694,0.00018413423,0.047322866,0.0011515289,0.00077999884,0.000011473718,0.00018348714,0.0070537585],"genre_scores_gemma":[0.9945577,0.00053583615,0.0000057475295,0.0011430662,0.00014335933,0.00004593113,9.1110405e-7,0.00001017024,0.0035573118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977462,0.00028630192,0.00037245674,0.0002878509,0.00065624417,0.00065090583],"domain_scores_gemma":[0.99787915,0.0012001252,0.00018935818,0.0005336127,0.000104864754,0.00009286737],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0043600365,0.00013159969,0.0001653509,0.000081242004,0.007030626,0.00001855091,0.0011862522,0.000044990375,0.00008395198],"category_scores_gemma":[0.0008965426,0.00005787794,0.00007530836,0.0015734966,0.0013571205,0.00016349631,0.0009606336,0.00044504588,0.000076860124],"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":[0.000041142594,0.000006895039,0.9386824,0.00015949432,0.00003206272,0.000005705048,0.047249,0.0017417517,0.0012432362,0.007286986,0.0011866117,0.002364711],"study_design_scores_gemma":[0.00031233544,0.000016360798,0.9538249,0.00007149282,0.000016144575,0.0000029238565,0.016146827,0.00027821396,0.00006305695,0.0006985317,0.028469477,0.00009973835],"about_ca_topic_score_codex":0.0005599531,"about_ca_topic_score_gemma":0.0007922538,"teacher_disagreement_score":0.051416483,"about_ca_system_score_codex":0.00025278988,"about_ca_system_score_gemma":0.00051833014,"threshold_uncertainty_score":0.9942621},"labels":[],"label_agreement":null},{"id":"W4391074398","doi":"10.1016/j.ssci.2024.106433","title":"A comprehensive systematic review of safety leading indicators in construction","year":2024,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","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 Calgary; University of Alberta","funders":"","keywords":"Context (archaeology); Risk analysis (engineering); Performance indicator; Systematic review; Body of knowledge; Construction industry; Safety management systems; Occupational safety and health; Engineering; Process management; Management science; Business; Computer science; Knowledge management; Operations management; Management system; Construction engineering; MEDLINE; Medicine; Political science; Marketing","score_opus":0.0585328779496528,"score_gpt":0.47984035789263296,"score_spread":0.4213074799429802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391074398","genre_codex":"review","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":[0.11024528,0.41132277,0.007718135,0.043856334,0.017271621,0.050252695,0.00090958335,0.0009724055,0.35745117],"genre_scores_gemma":[0.9791523,0.018071469,0.00084457855,0.0011972936,0.0000894146,0.00023247176,0.000020465894,0.000016715598,0.0003752983],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9963697,0.0005827712,0.0012500115,0.00035559956,0.0008899612,0.00055196584],"domain_scores_gemma":[0.99699754,0.0019571157,0.00021040643,0.00032162646,0.0003213789,0.00019194967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004554651,0.00010918106,0.00051760965,0.0009325293,0.00055323675,0.000007573795,0.00035786012,0.00007755914,0.0002699378],"category_scores_gemma":[0.0017470063,0.00008508541,0.00006009024,0.005110686,0.00057449425,0.00031580988,0.00013334927,0.0006079908,0.00038996176],"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":[0.00005834849,0.000014638407,0.008033737,0.91583294,0.000007060099,0.0000061701717,0.0010693165,0.0000066916145,0.000132468,0.07197406,0.000087043045,0.0027775236],"study_design_scores_gemma":[0.00048253994,0.000110639405,0.082754426,0.9052772,0.00003588655,0.000022435288,0.0026546305,0.0020926723,0.000039563343,0.0012681037,0.0050079753,0.00025395324],"about_ca_topic_score_codex":0.000094396986,"about_ca_topic_score_gemma":0.000018652216,"teacher_disagreement_score":0.86890703,"about_ca_system_score_codex":0.0006050724,"about_ca_system_score_gemma":0.002946061,"threshold_uncertainty_score":0.5226186},"labels":[],"label_agreement":null},{"id":"W4392266820","doi":"10.1016/j.ssci.2024.106480","title":"Ageing and performance in professional bus driving – A case study from Chile","year":2024,"lang":"en","type":"article","venue":"Safety Science","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Poison control; Human factors and ergonomics; Transport engineering; Injury prevention; Suicide prevention; Ageing; Occupational safety and health; Engineering; Gerontology; Forensic engineering; Medicine; Medical emergency","score_opus":0.032114904449557766,"score_gpt":0.4012036584064795,"score_spread":0.3690887539569217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392266820","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":[0.99503106,0.00024520876,0.000012987601,0.00066378206,0.0019533532,0.0007440302,0.0000086465025,0.00012787039,0.0012130559],"genre_scores_gemma":[0.99877125,0.000042960997,0.00014409561,0.000093473325,0.00014538546,0.00007881748,6.306163e-7,0.000012469386,0.00071093853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979374,0.0001714188,0.0003723124,0.00058504706,0.00039748035,0.0005363605],"domain_scores_gemma":[0.9988526,0.0007209874,0.000053345084,0.00020940365,0.00006426821,0.000099363766],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001768108,0.0001382881,0.00018800078,0.0002243593,0.0020173732,0.000038440954,0.00021828675,0.00004523182,0.0000660188],"category_scores_gemma":[0.00033921047,0.00010672435,0.000015039592,0.000942688,0.00028423534,0.00061342004,0.00067699334,0.00064726593,0.00007070559],"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":[0.000004232218,0.000047025693,0.94163215,0.00007819134,0.000005680361,0.00078412157,0.050834686,0.000008870953,0.00030054385,0.000035138866,0.00004909472,0.0062202634],"study_design_scores_gemma":[0.00030630347,0.000052800362,0.96569675,0.0013062356,0.0000069159005,0.00003548728,0.027817369,0.00430338,0.000006850377,0.00008892748,0.0002523808,0.00012658359],"about_ca_topic_score_codex":0.0015421256,"about_ca_topic_score_gemma":0.00916734,"teacher_disagreement_score":0.024064614,"about_ca_system_score_codex":0.00019647353,"about_ca_system_score_gemma":0.00045611808,"threshold_uncertainty_score":0.9992819},"labels":[],"label_agreement":null},{"id":"W4392938046","doi":"10.1016/j.ssci.2024.106492","title":"Group cognitive characteristics of construction Workers’ unsafe behaviors from personalized management","year":2024,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Occupational safety and health; Cognition; Poison control; Human factors and ergonomics; Suicide prevention; Injury prevention; Engineering; Forensic engineering; Medical emergency; Transport engineering; Applied psychology; Computer security; Business; Computer science; Psychology; Medicine","score_opus":0.048861142120635206,"score_gpt":0.44210045560130234,"score_spread":0.39323931348066715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392938046","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":[0.9569339,0.0003461857,0.00942433,0.0016031546,0.0041719177,0.0019298275,0.0011850108,0.00014777589,0.0242579],"genre_scores_gemma":[0.9964142,0.00026452824,0.0020629372,0.00014451325,0.00017118272,0.000089864574,0.00014751348,0.00001225821,0.0006930461],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973009,0.00020986593,0.0005723235,0.0004584902,0.0009076561,0.0005507625],"domain_scores_gemma":[0.9981244,0.0009852973,0.00012733857,0.00019462645,0.00032503865,0.00024328074],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016907732,0.000120688965,0.00021340871,0.00027136487,0.000914348,0.000018731458,0.00026375143,0.00009090762,0.0015133746],"category_scores_gemma":[0.00019075118,0.000105841216,0.000059692502,0.0011935652,0.0010588965,0.0002880752,0.00016596167,0.0004692479,0.0004910854],"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":[0.0017291758,0.00013496309,0.4915645,0.0011000885,0.00006254037,0.00005142529,0.0056436043,8.3826484e-7,0.0011699382,0.16027609,0.0003021988,0.33796462],"study_design_scores_gemma":[0.00054889306,0.00007067107,0.9869766,0.0011292854,0.00003450896,0.000001427555,0.0051780045,0.00037575173,0.000023347766,0.0013556752,0.004184577,0.00012125592],"about_ca_topic_score_codex":0.000483335,"about_ca_topic_score_gemma":0.000028804878,"teacher_disagreement_score":0.49541208,"about_ca_system_score_codex":0.00029349755,"about_ca_system_score_gemma":0.00092199957,"threshold_uncertainty_score":0.99939936},"labels":[],"label_agreement":null},{"id":"W4393108917","doi":"10.1016/j.ssci.2024.106493","title":"Safety and health among undeclared workers: A mixed methods study investigating social partner experiences and strategies","year":2024,"lang":"en","type":"article","venue":"Safety Science","topic":"Employment and Welfare Studies","field":"Health Professions","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":"Cape Breton University","funders":"Forskningsrådet om Hälsa, Arbetsliv och Välfärd","keywords":"Occupational safety and health; Environmental health; Human factors and ergonomics; Poison control; Injury prevention; Suicide prevention; Business; Medicine","score_opus":0.14672299144676926,"score_gpt":0.5228645460131838,"score_spread":0.3761415545664145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393108917","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":[0.9776464,0.0020169008,0.001569283,0.011060792,0.001302282,0.0010097169,0.0000068172294,0.00024481004,0.005142974],"genre_scores_gemma":[0.9971785,0.00012237257,0.0018196332,0.00025569895,0.00015937343,0.00012629585,0.0000015240499,0.000012628718,0.00032397214],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99686533,0.0008502063,0.00055942003,0.00064273487,0.0004153869,0.00066691404],"domain_scores_gemma":[0.9987111,0.0007066826,0.0001399366,0.00014999903,0.00008168308,0.00021060932],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0068626106,0.00019474451,0.0003483767,0.00013792938,0.0054715564,0.00017621518,0.00020814157,0.00006396285,0.000034844907],"category_scores_gemma":[0.00026736426,0.00014590868,0.000027225893,0.0009876947,0.0019199719,0.00082877156,0.00065572106,0.00039638436,0.0000038884828],"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":[0.000024459549,0.000028637785,0.3310097,0.00019962936,0.00003814929,0.000003923276,0.596332,0.0000025468053,0.00007086378,0.01753132,0.00080473465,0.053954016],"study_design_scores_gemma":[0.0001926289,0.00010161114,0.50922424,0.00018052127,0.0000088656,4.3938695e-7,0.48652223,0.00019352142,0.0000029945409,0.002457688,0.0009978277,0.000117421725],"about_ca_topic_score_codex":0.00109397,"about_ca_topic_score_gemma":0.0014662858,"teacher_disagreement_score":0.17821458,"about_ca_system_score_codex":0.00014188065,"about_ca_system_score_gemma":0.0009479803,"threshold_uncertainty_score":0.9958232},"labels":[],"label_agreement":null},{"id":"W4393396258","doi":"10.1016/j.ssci.2024.106496","title":"Empirical evolution of an evacuation reporting template","year":2024,"lang":"en","type":"article","venue":"Safety Science","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; National Research Council Canada","funders":"National Research Council Canada; Carleton University","keywords":"Poison control; Human factors and ergonomics; Injury prevention; Occupational safety and health; Suicide prevention; Forensic engineering; Engineering; Transport engineering; Computer science; Medical emergency; Medicine","score_opus":0.026177159627921606,"score_gpt":0.33152193140534325,"score_spread":0.30534477177742164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393396258","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":[0.84213585,0.0001316809,0.14882812,0.00010570095,0.00052944175,0.00006690954,0.0000040158807,0.00032447767,0.007873828],"genre_scores_gemma":[0.997946,0.0000056681984,0.0019571097,0.000007476883,0.000030388435,0.0000016265235,0.000003724926,0.0000062548706,0.000041733412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906445,0.000008623505,0.00037910423,0.00014767738,0.00027602367,0.00012410463],"domain_scores_gemma":[0.9996653,0.000022270655,0.000054152773,0.00014483115,0.000064021784,0.000049375813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011511974,0.000049175163,0.00006210364,0.00012722598,0.0000707654,0.0000371808,0.000107524225,0.000027488899,0.000024222314],"category_scores_gemma":[0.00020227347,0.000046253324,0.00002288894,0.00079346076,0.00008634956,0.000519276,0.00001547238,0.00007084972,0.000021914355],"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":[0.0000140506745,0.000035364686,0.010473509,0.00025354436,0.00001714903,0.00002167385,0.003040961,0.50650877,0.3407695,0.03919819,0.00023238604,0.09943493],"study_design_scores_gemma":[0.00002550606,0.000013775796,0.060664184,0.000028243941,0.0000034801149,0.00001320015,0.000077251316,0.9347339,0.0021484855,0.0018973156,0.0003364046,0.000058243568],"about_ca_topic_score_codex":0.0000073145748,"about_ca_topic_score_gemma":0.000011255931,"teacher_disagreement_score":0.42822516,"about_ca_system_score_codex":0.0001797432,"about_ca_system_score_gemma":0.00012900571,"threshold_uncertainty_score":0.18861558},"labels":[],"label_agreement":null},{"id":"W4396759782","doi":"10.1016/j.ssci.2024.106542","title":"Beyond the Clock: Revisiting Occupational Exposure Limits (OELs) for unusual work schedules in the South African Mining Industry","year":2024,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Occupational safety and health; Human factors and ergonomics; Work (physics); Poison control; Occupational exposure; Mining industry; Injury prevention; Suicide prevention; Occupational medicine; Environmental health; Engineering; Forensic engineering; Business; Medicine; Aeronautics; Transport engineering; Mining engineering; Mechanical engineering","score_opus":0.1285173861420618,"score_gpt":0.4716475975834747,"score_spread":0.34313021144141287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396759782","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":[0.8739033,0.0019443178,0.0017666642,0.09553391,0.002233316,0.003853018,0.00031570744,0.00012436035,0.02032541],"genre_scores_gemma":[0.9943579,0.000017972969,0.0014103699,0.002196258,0.0012631775,0.00038455374,0.00002641071,0.000014442311,0.00032895256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961405,0.00057987723,0.0006363508,0.000500328,0.0011358182,0.0010071342],"domain_scores_gemma":[0.9919389,0.007023373,0.00012731776,0.00038095962,0.00031582013,0.00021364109],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.011871091,0.00015057178,0.00016854449,0.00023909759,0.0035246604,0.00009777621,0.000914818,0.00020722294,0.00011931697],"category_scores_gemma":[0.0038707925,0.000086640415,0.0000666606,0.0030755461,0.0004947507,0.00032367962,0.00016358265,0.0016625619,0.00008846084],"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":[0.00079176814,0.000045474608,0.54176605,0.00058440474,0.000011569891,0.000010777812,0.03545247,0.00045371597,0.000042893014,0.3153686,0.0020096842,0.1034626],"study_design_scores_gemma":[0.00040743552,0.000101456506,0.9445413,0.00074911054,0.000008870579,0.0000029703672,0.026910992,0.0035259584,0.000006413448,0.0029227403,0.020645183,0.00017761144],"about_ca_topic_score_codex":0.00004286481,"about_ca_topic_score_gemma":0.000058916943,"teacher_disagreement_score":0.4027752,"about_ca_system_score_codex":0.00025489132,"about_ca_system_score_gemma":0.0049647577,"threshold_uncertainty_score":0.99777263},"labels":[],"label_agreement":null},{"id":"W4400072092","doi":"10.1016/j.ssci.2024.106597","title":"Biogas plants accidents: Analyzing occurrence, severity, and associations between 1990 and 2023","year":2024,"lang":"en","type":"article","venue":"Safety Science","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Banco Nacional de Desenvolvimento Econômico e Social","keywords":"Biogas; Poison control; Occupational safety and health; Environmental health; Engineering; Hazard; Forensic engineering; Environmental science; Waste management; Medicine","score_opus":0.015844037569828023,"score_gpt":0.27527896601770413,"score_spread":0.2594349284478761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400072092","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":[0.97173256,0.0032388526,0.010966186,0.0007741484,0.0011707789,0.00017321574,0.0008457612,0.0007459022,0.010352575],"genre_scores_gemma":[0.9992413,0.0004983294,0.00013716235,0.000019163765,0.00002961685,0.0000014202964,0.000016747437,0.0000029748517,0.00005331269],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936384,0.0000056332983,0.0001226091,0.00017631556,0.00019038838,0.00014119213],"domain_scores_gemma":[0.9997078,0.00010570466,0.000012764459,0.000060510054,0.000033420933,0.00007977903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033124452,0.000064820655,0.00007499893,0.00021002986,0.0001958796,0.00022420545,0.000102540485,0.000025426418,0.000030223679],"category_scores_gemma":[0.00009527455,0.00006354779,0.000010277131,0.0008065445,0.0000973657,0.00057329866,0.000067592366,0.00008634203,0.000029238085],"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":[0.000005662952,0.000028365122,0.6117284,0.00031938378,0.00012713739,0.000023861472,0.0032728566,0.0024974523,0.002580642,0.016265213,0.008682964,0.35446802],"study_design_scores_gemma":[0.00010123003,0.000007751055,0.96567464,0.00008066,0.000015076415,0.000009849854,0.00009323204,0.01789419,0.00036277255,0.0020302122,0.0135370465,0.000193367],"about_ca_topic_score_codex":0.000014875335,"about_ca_topic_score_gemma":0.000019224457,"teacher_disagreement_score":0.35427466,"about_ca_system_score_codex":0.000045464127,"about_ca_system_score_gemma":0.00004619564,"threshold_uncertainty_score":0.25914037},"labels":[],"label_agreement":null},{"id":"W4400100774","doi":"10.1016/j.ssci.2024.106591","title":"Management practices that promote preventive measures compliance: A comparative analysis between hospital healthcare workers and teachers","year":2024,"lang":"en","type":"article","venue":"Safety Science","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Context (archaeology); Health care; Compliance (psychology); Observational study; Incentive; Pandemic; Occupational safety and health; Preventive care; Nursing; Medicine; Psychology; Coronavirus disease 2019 (COVID-19); Disease","score_opus":0.07578731612095159,"score_gpt":0.3941231148198888,"score_spread":0.31833579869893724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400100774","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":[0.90288925,0.0028536974,0.05667897,0.017017508,0.0007189975,0.0025795419,0.000037887767,0.00029498292,0.016929135],"genre_scores_gemma":[0.9984032,0.00005439171,0.0007525365,0.000042746182,0.00006346913,0.00001973653,0.000013014081,0.0000037226305,0.0006472078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985988,0.00006276373,0.00017403398,0.00044299065,0.00050300814,0.00021838186],"domain_scores_gemma":[0.99938875,0.000060351234,0.00015065212,0.00015296413,0.00012115211,0.00012611476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001046023,0.00011023238,0.00023633953,0.0003025292,0.00030651398,0.00012559531,0.00008098659,0.000031601434,0.000019986894],"category_scores_gemma":[0.000033327662,0.00008715092,0.0000856428,0.0015431184,0.00029752598,0.00051022245,0.00004929068,0.00017545793,0.000016298784],"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":[0.000108491244,0.000081508835,0.9095784,0.00020569647,0.0013834946,0.00002652047,0.0121171,0.00007905969,0.000090321715,0.0013688713,0.00009110643,0.074869424],"study_design_scores_gemma":[0.00027243697,0.0001651075,0.98873556,0.00027368948,0.00080373726,0.0000037625684,0.0023444823,0.0038087338,0.000121175246,0.00012507384,0.0032434484,0.000102767255],"about_ca_topic_score_codex":0.00010793745,"about_ca_topic_score_gemma":0.000039485316,"teacher_disagreement_score":0.095513895,"about_ca_system_score_codex":0.00016090965,"about_ca_system_score_gemma":0.00011042085,"threshold_uncertainty_score":0.35539114},"labels":[],"label_agreement":null},{"id":"W4401237938","doi":"10.1016/j.ssci.2026.107261","title":"Mitigation of Health and Safety Risks to Employees at Remote Locations Through Shift Scheduling","year":2024,"lang":"en","type":"preprint","venue":"Safety Science","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Paradigm shift; Risk analysis (engineering)","score_opus":0.06076622989519415,"score_gpt":0.3884225373868367,"score_spread":0.32765630749164254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401237938","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":[0.85527104,0.01326962,0.06337111,0.029470567,0.007202142,0.002148032,0.00029487276,0.00034776892,0.028624827],"genre_scores_gemma":[0.98329383,0.0004173177,0.015409799,0.0005588286,0.00009752364,0.000015449139,0.000052031082,0.00002870194,0.00012652561],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99683636,0.00017534415,0.00083329243,0.001149809,0.00049201737,0.0005131978],"domain_scores_gemma":[0.9981553,0.00019002578,0.00033990262,0.0009156427,0.00014920335,0.0002499038],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017751732,0.000270878,0.00040987934,0.00029643768,0.0005895202,0.00006510426,0.0005993762,0.0002864825,0.0001120614],"category_scores_gemma":[0.00023730802,0.00026481596,0.00009229788,0.001159366,0.0007847217,0.00010529956,0.0012448305,0.0007627003,0.00027418585],"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":[0.000549887,0.00031996742,0.02225751,0.0006481052,0.0004815752,0.000018529074,0.1850749,0.034264937,0.0004371559,0.25988653,0.0018124541,0.49424845],"study_design_scores_gemma":[0.0037189384,0.0018135693,0.65543336,0.031357527,0.000639709,0.00007091224,0.014105126,0.004651139,0.0028468955,0.26989502,0.010669618,0.00479819],"about_ca_topic_score_codex":0.0021837833,"about_ca_topic_score_gemma":0.00024782465,"teacher_disagreement_score":0.63317585,"about_ca_system_score_codex":0.00035746107,"about_ca_system_score_gemma":0.00071265595,"threshold_uncertainty_score":0.9999804},"labels":[],"label_agreement":null},{"id":"W4401689037","doi":"10.1016/j.ssci.2024.106644","title":"Hazard identification performance comparison between virtual reality and traditional construction safety training modes for different learning style individuals","year":2024,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"Humanities and Social Science Fund of Ministry of Education of China; Postdoctoral Research Foundation of China; Scientific Research Plan Projects of Shaanxi Education Department; Ministry of Education of the People's Republic of China; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Training (meteorology); Hazard; Identification (biology); Virtual reality; Poison control; Style (visual arts); Hazard analysis; Human factors and ergonomics; Occupational safety and health; Engineering; Injury prevention; Suicide prevention; Applied psychology; Computer science; Transport engineering; Psychology; Human–computer interaction; Medical emergency; Medicine; Reliability engineering; Geography","score_opus":0.22208787237943178,"score_gpt":0.4691587430370161,"score_spread":0.24707087065758432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401689037","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":[0.9340949,0.00011166412,0.05765604,0.0032839593,0.00081492576,0.0013902419,0.00066821964,0.00016018053,0.0018198601],"genre_scores_gemma":[0.9976375,0.00013555135,0.0008825825,0.00004509518,0.0004487007,0.00017693319,0.0004149918,0.0000143203415,0.00024429313],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99658185,0.00035143027,0.0008770781,0.00059752434,0.00091139885,0.0006807238],"domain_scores_gemma":[0.9964179,0.002641289,0.00018512299,0.00017236688,0.00027567573,0.00030768494],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005578074,0.00015942649,0.00030097645,0.00028233725,0.0040484713,0.00008520774,0.0002420886,0.00013825446,0.00007258571],"category_scores_gemma":[0.0006672428,0.00014064739,0.000050615985,0.00057285855,0.0007232946,0.0007772145,0.00009523855,0.0008223051,0.00003536553],"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":[0.00033430176,0.000035088055,0.3246089,0.0008214076,0.000025059468,2.5891285e-7,0.007839631,0.0013161534,0.00065744965,0.08258514,0.00016590544,0.5816107],"study_design_scores_gemma":[0.00044702095,0.00018761943,0.80557173,0.00026969286,0.000015097647,0.000002104712,0.0029560914,0.18430822,0.00006662609,0.0019607996,0.00407015,0.00014483162],"about_ca_topic_score_codex":0.000031604108,"about_ca_topic_score_gemma":0.000017247226,"teacher_disagreement_score":0.5814659,"about_ca_system_score_codex":0.0004294865,"about_ca_system_score_gemma":0.0012537108,"threshold_uncertainty_score":0.9972481},"labels":[],"label_agreement":null},{"id":"W4401894937","doi":"10.1016/j.ssci.2024.106653","title":"Effects of construction workers’ safety knowledge on hazard-identification performance via eye-movement modeling examples training","year":2024,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"Scientific Research Plan Projects of Shaanxi Education Department; Social Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Identification (biology); Occupational safety and health; Training (meteorology); Poison control; Human factors and ergonomics; Hazard; Hazard analysis; Engineering; Injury prevention; Eye movement; Movement (music); Suicide prevention; Transport engineering; Computer science; Forensic engineering; Medical emergency; Medicine; Artificial intelligence; Reliability engineering","score_opus":0.08158013915630384,"score_gpt":0.43685121090812573,"score_spread":0.3552710717518219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401894937","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":[0.8949116,0.0007486834,0.08045148,0.0014585332,0.0050049415,0.0024001738,0.000042674215,0.00021536257,0.014766564],"genre_scores_gemma":[0.9975603,0.00031766697,0.0011413314,0.00009703413,0.00024585918,0.000129039,0.00002054537,0.000017529292,0.00047069136],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965577,0.00029624905,0.0008926175,0.00059035246,0.00090320205,0.0007598898],"domain_scores_gemma":[0.997487,0.001339239,0.00015071713,0.00033575617,0.0004381156,0.00024915082],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0046644784,0.00016725919,0.00024832418,0.00045950478,0.0019184649,0.00002626655,0.00037078295,0.00011803487,0.0000983712],"category_scores_gemma":[0.0004989231,0.00014567484,0.00006604367,0.0015404925,0.00043131885,0.0005183281,0.00012494116,0.00062827725,0.00035648185],"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":[0.0011006274,0.00015439746,0.028793769,0.0066335266,0.00003398819,0.000003351904,0.01666046,0.01114763,0.017313972,0.04766721,0.00009876378,0.8703923],"study_design_scores_gemma":[0.0005992876,0.00020601999,0.30809656,0.0028516243,0.000015995052,0.0000012846268,0.0017365775,0.68176913,0.0012605331,0.0015261824,0.0017097155,0.00022709992],"about_ca_topic_score_codex":0.00011023351,"about_ca_topic_score_gemma":0.00003513802,"teacher_disagreement_score":0.8701652,"about_ca_system_score_codex":0.00069093367,"about_ca_system_score_gemma":0.0025531582,"threshold_uncertainty_score":0.9993809},"labels":[],"label_agreement":null},{"id":"W4403220776","doi":"10.1016/j.ssci.2024.106688","title":"Development and validation of the North American COmfort of hearing PROtection Device questionnaire (COPROD-NAQ)","year":2024,"lang":"en","type":"article","venue":"Safety Science","topic":"Noise Effects and Management","field":"Health Professions","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":"École de Technologie Supérieure; Université de Montréal; Université du Québec à Montréal; Hôpital Charles-Le Moyne; Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"","keywords":"Poison control; Hearing protection; Occupational safety and health; Human factors and ergonomics; Injury prevention; Suicide prevention; Engineering; Forensic engineering; Hearing loss; Transport engineering; Applied psychology; Audiology; Psychology; Medical emergency; Medicine","score_opus":0.04571885163565926,"score_gpt":0.36758301768894064,"score_spread":0.3218641660532814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403220776","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":[0.99451107,0.000031926244,0.00293237,0.00061443786,0.0003838712,0.00075897423,0.0000013342769,0.000029442097,0.0007365625],"genre_scores_gemma":[0.99877673,0.000009697854,0.00096031977,0.000059106515,0.000020709895,0.00004070936,5.948759e-7,0.0000037650696,0.00012836469],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991032,0.00007149861,0.00023851627,0.00017434238,0.0002684794,0.00014398318],"domain_scores_gemma":[0.99959147,0.000033161956,0.00011850694,0.00014641236,0.00007850945,0.00003194234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011567423,0.000051679177,0.000085526,0.00007597162,0.0005134683,0.0000076251704,0.0001167881,0.000011527392,0.00000371167],"category_scores_gemma":[0.00007731753,0.00003356805,0.000012586712,0.0008763032,0.00025183195,0.00014358618,0.0001712473,0.00011973741,0.000004072227],"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":[0.00006978313,0.00007655806,0.3978058,0.0041641146,0.000037187427,0.0000011030772,0.02512386,0.0007891432,0.027924974,0.01967451,0.00009779772,0.5242352],"study_design_scores_gemma":[0.00006483903,0.00003345222,0.98753804,0.0006487424,0.000008151024,4.2736986e-7,0.000535462,0.00095378695,0.005443503,0.00006229517,0.0046589817,0.000052305437],"about_ca_topic_score_codex":0.00071477296,"about_ca_topic_score_gemma":0.0006707462,"teacher_disagreement_score":0.5897322,"about_ca_system_score_codex":0.00011732719,"about_ca_system_score_gemma":0.00035684972,"threshold_uncertainty_score":0.39492348},"labels":[],"label_agreement":null},{"id":"W4403638076","doi":"10.1016/j.ssci.2024.106691","title":"Quantifying dire evacuations in case of wildfire using trigger boundaries and case study of the 2018 Mati wildfire in Greece","year":2024,"lang":"en","type":"article","venue":"Safety Science","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":5,"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":"Engineering and Physical Sciences Research Council; National Research Council Canada; Australian Research Council; National Institute of Standards and Technology; U.S. Department of Commerce","keywords":"Poison control; Environmental science; Geography; Engineering; Forensic engineering; Environmental health; Medicine","score_opus":0.03097493889856575,"score_gpt":0.30694339263727766,"score_spread":0.2759684537387119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403638076","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":[0.99841475,0.00024007417,0.000026689284,0.00015171294,0.00031802495,0.0006988408,0.000010674987,0.000013051655,0.00012616008],"genre_scores_gemma":[0.9997913,0.0000045172483,0.00015195465,0.000009248338,0.0000066395264,0.000009023452,1.5105572e-7,0.0000087803155,0.000018343604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998227,0.00017834171,0.0004578528,0.00042674335,0.00044999263,0.00026004127],"domain_scores_gemma":[0.9992216,0.00021327718,0.00011607829,0.0003894616,0.000007022722,0.000052551266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019656844,0.00012887073,0.00020869932,0.0001613234,0.0004872421,0.00010797296,0.00028427577,0.000038019174,0.000019858151],"category_scores_gemma":[0.00022940278,0.00009461973,0.000028022932,0.002494497,0.0015012698,0.00079791097,0.00033396584,0.0001530749,0.0000041467692],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023846242,0.000301997,0.90906566,0.00015355175,0.000010968932,0.0034084127,0.04807384,0.0026150532,0.01424476,0.000108308675,0.00002594524,0.021967644],"study_design_scores_gemma":[0.0007110256,0.00018944728,0.49919248,0.00069866073,0.000039287523,0.0065447656,0.01639258,0.4749141,0.0007473393,0.00011327861,0.000157175,0.0002998416],"about_ca_topic_score_codex":0.07877507,"about_ca_topic_score_gemma":0.086270206,"teacher_disagreement_score":0.47229907,"about_ca_system_score_codex":0.0002981757,"about_ca_system_score_gemma":0.00014820685,"threshold_uncertainty_score":0.930403},"labels":[],"label_agreement":null},{"id":"W4403668628","doi":"10.1016/j.ssci.2024.106702","title":"Protecting oneself while supporting the organisation: A longitudinal exploratory study of healthcare workers’ coping strategies and organisational resilience processes in the first year of the COVID-19 pandemic","year":2024,"lang":"en","type":"article","venue":"Safety Science","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Haute école Spécialisée de Suisse Occidentale","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Coping (psychology); 2019-20 coronavirus outbreak; Exploratory research; Health care; Occupational safety and health; Human factors and ergonomics; Resilience (materials science); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychological resilience; Psychology; Suicide prevention; Poison control; Nursing; Medicine; Medical emergency; Sociology; Political science; Social psychology; Psychiatry; Virology; Infectious disease (medical specialty); Disease","score_opus":0.13568447242666512,"score_gpt":0.4230384668979953,"score_spread":0.28735399447133014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403668628","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":[0.9902502,0.00043264352,0.00022337587,0.0075738444,0.00020552451,0.0011724068,0.000007189028,0.000026391815,0.00010843597],"genre_scores_gemma":[0.99948466,0.000014387946,0.00001657888,0.0003637239,0.000038678274,0.00006732852,5.329798e-7,0.000006018913,0.000008067912],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99818873,0.00025247122,0.00040540882,0.00036936192,0.0005342753,0.00024975292],"domain_scores_gemma":[0.9984396,0.0009293573,0.00020149957,0.00029516203,0.00008664381,0.000047715595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039327918,0.000094796094,0.0001211399,0.00008308838,0.0008940435,0.000076666794,0.0005187243,0.000031705786,0.000044304423],"category_scores_gemma":[0.0005337062,0.000051945568,0.000015302163,0.0018583355,0.00063744385,0.0003216551,0.00013555278,0.0002859308,0.0000024108906],"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":[0.00004427564,0.0000695657,0.7062519,0.00054382376,0.000004389202,0.0000030724348,0.2898051,0.00015364496,0.00012523767,0.0026907225,0.000016734866,0.00029153182],"study_design_scores_gemma":[0.00023661797,0.00019155405,0.4703872,0.00015201015,0.0000071841196,0.000032373286,0.52781516,0.000035277484,0.000042984408,0.0007940276,0.00024032577,0.00006527307],"about_ca_topic_score_codex":0.002125923,"about_ca_topic_score_gemma":0.009630401,"teacher_disagreement_score":0.23801006,"about_ca_system_score_codex":0.00025438223,"about_ca_system_score_gemma":0.0046233437,"threshold_uncertainty_score":0.82016134},"labels":[],"label_agreement":null},{"id":"W4403729951","doi":"10.1016/j.ssci.2024.106686","title":"Estimating the slip resistant quality of winter footwear using Artificial Intelligence","year":2024,"lang":"en","type":"article","venue":"Safety Science","topic":"Diabetic Foot Ulcer Assessment and Management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Poison control; Forensic engineering; Engineering; Slip (aerodynamics); Occupational safety and health; Injury prevention; Transport engineering; Environmental science; Computer science; Medical emergency; Medicine; Aerospace engineering","score_opus":0.0898921806856204,"score_gpt":0.40224082471195,"score_spread":0.3123486440263296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403729951","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":[0.6319223,0.00026275078,0.3294361,0.0066083856,0.002091513,0.0006692461,0.000007853835,0.0001154094,0.028886449],"genre_scores_gemma":[0.983238,0.000002469243,0.016405258,0.000111877795,0.00009806319,0.0000028012585,7.809421e-7,0.0000062837626,0.00013446902],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840784,0.000035654615,0.00040461,0.0002897503,0.00062171015,0.00024044253],"domain_scores_gemma":[0.99931353,0.00012804169,0.000065856235,0.0003411274,0.00009350601,0.000057931113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028145448,0.000084905805,0.00015172083,0.0001120362,0.00016689449,0.00008284543,0.00026331845,0.00001717592,0.00009543476],"category_scores_gemma":[0.00027201575,0.000053874286,0.00006921639,0.00085412076,0.0007005225,0.0001557301,0.00017119343,0.00011873039,0.00001859546],"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":[0.00026464165,0.00016798175,0.000902585,0.0008501862,0.00008624758,0.00002379052,0.0028253177,0.002033579,0.16893655,0.5919403,0.000117222495,0.23185162],"study_design_scores_gemma":[0.0002205171,0.0006697074,0.060268205,0.002414941,0.00030223944,0.000017596332,0.0055609457,0.79206306,0.05122369,0.08368811,0.0030557364,0.0005152669],"about_ca_topic_score_codex":0.000069230795,"about_ca_topic_score_gemma":0.000010965145,"teacher_disagreement_score":0.79002947,"about_ca_system_score_codex":0.000104870174,"about_ca_system_score_gemma":0.00026671478,"threshold_uncertainty_score":0.25811043},"labels":[],"label_agreement":null},{"id":"W4407389235","doi":"10.1016/j.ssci.2025.106797","title":"Gender differences in occupational health and safety perceptions: Insights from youth in dual vocational training","year":2025,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Vocational education; Occupational safety and health; Injury prevention; Human factors and ergonomics; Poison control; Suicide prevention; Dual (grammatical number); Perception; Training (meteorology); Psychology; Applied psychology; Engineering; Medicine; Environmental health; Pedagogy; Geography","score_opus":0.19354044509955282,"score_gpt":0.47399580459910967,"score_spread":0.28045535949955686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407389235","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":[0.97744983,0.0006700139,0.0025690992,0.0062229997,0.0006336425,0.0012092871,0.0002942285,0.000036962636,0.010913931],"genre_scores_gemma":[0.9957437,0.00038504257,0.0011882762,0.0021538937,0.000105479936,0.00009853825,0.00020740916,0.000005695405,0.00011196126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996149,0.00063411606,0.00095652847,0.0006336286,0.000804122,0.0008226105],"domain_scores_gemma":[0.9973687,0.001697032,0.00013826374,0.00023101727,0.00022576714,0.00033921137],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0024351566,0.00015471414,0.0003184472,0.0007793998,0.0018988872,0.00002120045,0.00024953092,0.00012725529,0.0002265098],"category_scores_gemma":[0.0010422134,0.00013765592,0.000025054162,0.0018659424,0.00053886126,0.00043297562,0.00021544384,0.00074949017,0.00004460546],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045382854,0.00006684678,0.90901357,0.00008165996,0.0000028900495,0.0000011909083,0.032042608,0.000032851534,0.00001654314,0.044810757,0.000024341347,0.013452908],"study_design_scores_gemma":[0.0010763082,0.00003579776,0.9583911,0.0003169406,0.0000013440341,2.824668e-7,0.0271943,0.0023340054,2.7635514e-7,0.010357385,0.00018290343,0.00010940138],"about_ca_topic_score_codex":0.0029736934,"about_ca_topic_score_gemma":0.005595541,"teacher_disagreement_score":0.049377482,"about_ca_system_score_codex":0.00083089917,"about_ca_system_score_gemma":0.012609267,"threshold_uncertainty_score":0.9994005},"labels":[],"label_agreement":null},{"id":"W4407389399","doi":"10.1016/j.ssci.2025.106812","title":"The impact of wildfire smoke on traffic evacuation dynamics","year":2025,"lang":"en","type":"article","venue":"Safety Science","topic":"Evacuation and Crowd Dynamics","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":"National Research Council Canada","funders":"National Research Council Canada; National Institute of Standards and Technology; Swedish Foundation for International Cooperation in Research and Higher Education; Lunds Universitet; U.S. Department of Commerce","keywords":"Smoke; Poison control; Transport engineering; Environmental science; Injury prevention; Occupational safety and health; Suicide prevention; Engineering; Forensic engineering; Medical emergency; Medicine; Waste management","score_opus":0.005907914064020051,"score_gpt":0.2784324891000048,"score_spread":0.27252457503598476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407389399","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":[0.97249544,0.000061709,0.0062872,0.00040127608,0.00034414593,0.00012638325,0.000010908436,0.00009468325,0.020178242],"genre_scores_gemma":[0.9997066,0.00007120405,0.00005245534,0.000018757208,0.0000068302015,0.0000025795973,0.000003869759,0.000004214991,0.0001334344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993459,0.000010691884,0.00016076298,0.00010400279,0.00021623631,0.00016242573],"domain_scores_gemma":[0.9995713,0.0000820122,0.000025475498,0.00024215446,0.000047517187,0.000031530268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004640215,0.00007150812,0.00006605535,0.0000938332,0.00021599604,0.000035666246,0.0002982433,0.000028046776,0.0000045849047],"category_scores_gemma":[0.00010797478,0.000049046466,0.000050820545,0.0008536166,0.0001624545,0.00011438448,0.000017621483,0.000086081454,0.000007327813],"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":[0.0000149173175,0.000012442293,0.0010197434,0.0000058411024,0.000010117103,1.2179194e-7,0.00012355908,0.8829626,0.0006131088,0.02331756,0.00012641044,0.09179361],"study_design_scores_gemma":[0.000090956615,0.000023012533,0.13012768,0.000017076976,0.0000026061903,2.927592e-7,0.000076243596,0.8688381,0.00012859829,0.0005992043,0.000051758692,0.00004448435],"about_ca_topic_score_codex":0.0000125996,"about_ca_topic_score_gemma":0.00004905823,"teacher_disagreement_score":0.12910794,"about_ca_system_score_codex":0.0003364877,"about_ca_system_score_gemma":0.00015333976,"threshold_uncertainty_score":0.20000568},"labels":[],"label_agreement":null},{"id":"W4407622778","doi":"10.1016/j.ssci.2025.106816","title":"Financial evaluation of interventions to reduce musculoskeletal disorder risk: A scoping review","year":2025,"lang":"en","type":"review","venue":"Safety Science","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"WorkSafe Victoria; La Trobe University","keywords":"Psychological intervention; Poison control; Occupational safety and health; Human factors and ergonomics; Injury prevention; Suicide prevention; Musculoskeletal disorder; Risk assessment; Medicine; Risk analysis (engineering); Business; Engineering; Finance; Environmental health; Computer science; Computer security; Psychiatry","score_opus":0.05177131645636192,"score_gpt":0.46767197552546014,"score_spread":0.41590065906909823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407622778","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":[0.00006739321,0.9876906,0.0010548814,0.0002884107,0.00055328815,0.008367191,0.00003698854,0.000027083777,0.0019141533],"genre_scores_gemma":[0.0000938634,0.99803436,0.0010137807,0.000058693822,0.000076468,0.0004459124,0.000064405984,0.000012764833,0.00019974927],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99569154,0.00064144307,0.0013610921,0.0007055519,0.0013014569,0.00029894078],"domain_scores_gemma":[0.99720174,0.0003478726,0.0005861317,0.00078426447,0.00094149745,0.00013851185],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009738162,0.0002798785,0.0015052228,0.0006345868,0.00022355326,0.000012571583,0.00038739934,0.00012845328,0.00022471623],"category_scores_gemma":[0.024149653,0.00021072545,0.001304871,0.0035612881,0.0004056499,0.00014133596,0.00019539852,0.00032566884,0.000050584174],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026566377,0.00005487679,0.0000033737651,0.37989408,0.0000078887315,7.454924e-8,0.00001954858,0.0000026786056,0.0000013896415,0.0001050479,0.00006003957,0.6198484],"study_design_scores_gemma":[0.0002618491,0.00021354527,0.0010282431,0.9767583,0.002132553,0.0000023243135,0.000012169919,0.000021382097,5.493503e-7,0.00008194586,0.019287013,0.00020011024],"about_ca_topic_score_codex":0.000029480494,"about_ca_topic_score_gemma":0.000041479427,"teacher_disagreement_score":0.6196482,"about_ca_system_score_codex":0.0003544168,"about_ca_system_score_gemma":0.0058993744,"threshold_uncertainty_score":0.99973625},"labels":[],"label_agreement":null},{"id":"W4412028129","doi":"10.1016/j.ssci.2025.106940","title":"A context-sensitive approach for variability analysis in complex sociotechnical systems","year":2025,"lang":"en","type":"article","venue":"Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","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 Waterloo","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Sociotechnical system; Context (archaeology); Poison control; Human factors and ergonomics; Computer science; Risk analysis (engineering); Engineering; Systems engineering; Medical emergency; Medicine; Geography; Knowledge management","score_opus":0.08580328233556368,"score_gpt":0.4028284319842068,"score_spread":0.31702514964864315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412028129","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":[0.010686348,0.000049595856,0.96730834,0.0029907427,0.00014609491,0.0006581564,0.00008816929,0.00004362638,0.018028896],"genre_scores_gemma":[0.9904918,0.000014134304,0.008545588,0.0002847798,0.000021146341,0.000040769337,0.000014730412,0.0000032296846,0.0005838215],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99447244,0.00062246615,0.0012768544,0.001441548,0.0016271966,0.00055950833],"domain_scores_gemma":[0.99348724,0.0038637405,0.00027264064,0.0012353546,0.0009913896,0.00014964819],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.028781908,0.00018842045,0.00092585885,0.0015816261,0.00071410823,0.0003300753,0.0018208617,0.00014196863,0.00003434627],"category_scores_gemma":[0.009373761,0.00014082361,0.00051264634,0.018571459,0.0016094311,0.00043294192,0.00033920855,0.00022929428,0.000016825516],"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":[0.00065113173,0.0006743139,0.108354844,0.00003705394,0.0004945743,0.0000061250125,0.0020948781,0.2145595,0.0023463583,0.5805871,0.0016487611,0.08854539],"study_design_scores_gemma":[0.0003575079,0.000020683548,0.21660446,0.000005806884,0.00014346714,8.5206216e-7,0.0028289058,0.7521532,0.0000506001,0.025609298,0.0020593083,0.00016590623],"about_ca_topic_score_codex":0.0005132776,"about_ca_topic_score_gemma":0.00027564802,"teacher_disagreement_score":0.97980547,"about_ca_system_score_codex":0.00037597353,"about_ca_system_score_gemma":0.0005454283,"threshold_uncertainty_score":0.9989707},"labels":[],"label_agreement":null},{"id":"W4413003536","doi":"10.1016/j.ssci.2025.106966","title":"State-of-the-Art review of blockchain applications for construction safety: Opportunities, challenges, and future directions","year":2025,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","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":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea","keywords":"Blockchain; Engineering; State (computer science); Computer security; Computer science; Construction engineering","score_opus":0.08141196295475552,"score_gpt":0.43020469593581334,"score_spread":0.34879273298105784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413003536","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014044731,0.285761,0.020770248,0.4205805,0.005580704,0.027462406,0.0027966406,0.0001718482,0.2354722],"genre_scores_gemma":[0.016823348,0.96425086,0.0067207976,0.0031056448,0.0003970696,0.0024195414,0.00007732902,0.000022839458,0.0061825775],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980831,0.0002235975,0.00069859007,0.00027261346,0.0003812887,0.00034077006],"domain_scores_gemma":[0.9973105,0.00090444594,0.00028515753,0.00041247578,0.0009547078,0.00013267131],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0028741756,0.000091090325,0.0002513151,0.00017509346,0.001510137,0.0000020820385,0.00029796583,0.00006285479,0.000048813512],"category_scores_gemma":[0.00043278988,0.000070371745,0.00004909107,0.0009445515,0.00081710535,0.00007870546,0.0001460236,0.00025335944,0.0000032224355],"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":[0.00008563231,0.000029473886,0.0005704773,0.0087166885,0.0000072530183,3.1623333e-8,0.00027106967,0.0000011438689,0.000056469522,0.2187291,0.0005330073,0.77099967],"study_design_scores_gemma":[0.00029714496,0.000041373678,0.036528733,0.0021050123,0.000014881647,0.0000014077505,0.00073242985,0.00007908989,0.00003723091,0.0059941583,0.9541058,0.000062750696],"about_ca_topic_score_codex":0.000037060432,"about_ca_topic_score_gemma":0.00011664001,"teacher_disagreement_score":0.9535728,"about_ca_system_score_codex":0.00014575147,"about_ca_system_score_gemma":0.0032204492,"threshold_uncertainty_score":0.9997898},"labels":[],"label_agreement":null},{"id":"W4415758593","doi":"10.1016/j.ssci.2025.107041","title":"Early detection of physical fatigue in industry using wearable sensors and contextual modeling","year":2025,"lang":"en","type":"article","venue":"Safety Science","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Canadian Institute of Steel Construction","keywords":"Wearable computer; Smartwatch; Biometrics; Context (archaeology); Novelty; Poison control; Fuzzy logic; Activity recognition; Novelty detection","score_opus":0.02385069711364493,"score_gpt":0.2691778922859002,"score_spread":0.2453271951722553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415758593","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":[0.97261703,0.000025726666,0.026440876,0.0000033229062,0.00011684007,0.00003567398,0.0000014238323,0.00003776468,0.0007213433],"genre_scores_gemma":[0.9994157,0.000005522641,0.0005445056,0.0000029745725,0.000013934074,7.5749205e-7,7.837886e-8,0.00000420243,0.0000123563605],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994904,0.000011159692,0.00013509417,0.00012542223,0.000085187465,0.00015276976],"domain_scores_gemma":[0.9998233,0.000029820198,0.000014718132,0.00007782835,0.0000275683,0.000026811464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016405908,0.000061541585,0.00011346125,0.0001137025,0.00006541776,0.000016493133,0.00006166282,0.000046383368,6.875605e-7],"category_scores_gemma":[0.0000815398,0.00006273022,0.000009390341,0.00042231474,0.00012057317,0.00024275195,0.00002519672,0.00011558267,2.6454506e-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":[0.0000035838082,0.0000016729713,0.00011730646,0.000009066144,6.609769e-7,2.4876607e-7,0.00011955521,0.5612647,0.43739635,0.00016225722,1.263107e-8,0.0009246018],"study_design_scores_gemma":[0.00010830799,0.0000072351427,0.0026926713,0.00010042922,0.0000018582494,9.69591e-7,0.00012942005,0.83269775,0.16383974,0.0003662463,0.0000016851731,0.00005367402],"about_ca_topic_score_codex":0.00019456845,"about_ca_topic_score_gemma":0.000011056821,"teacher_disagreement_score":0.27355662,"about_ca_system_score_codex":0.000045630633,"about_ca_system_score_gemma":0.000021228572,"threshold_uncertainty_score":0.25580642},"labels":[],"label_agreement":null},{"id":"W4415882695","doi":"10.1016/j.ssci.2025.107038","title":"Serious and fatal collisions between mobile equipment and pedestrian workers in Quebec: A critical analysis of contributing factors and the Role of proximity detection devices in risk reduction","year":2025,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; Toronto Public Health; Université du Québec à Trois-Rivières; Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Fault tree analysis; Pedestrian; Accident analysis; Truck; Poison control; Earthworks; Work (physics)","score_opus":0.02241520802642686,"score_gpt":0.42096383796845754,"score_spread":0.39854862994203066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415882695","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":[0.997556,0.00043877133,0.00020357568,0.0005401065,0.000048678212,0.0010437407,0.00008183062,0.0000046331634,0.00008270401],"genre_scores_gemma":[0.99966884,0.00018277136,0.000064658154,0.000006242029,0.000007893288,0.00005735517,0.0000050942017,0.0000015861398,0.000005542709],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799114,0.00060026994,0.000545002,0.000255911,0.00027653502,0.00033112243],"domain_scores_gemma":[0.99627465,0.0031793695,0.00015192066,0.000119710276,0.00017693281,0.00009738807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00457906,0.00007077836,0.00030961234,0.00048102165,0.0007787433,0.000012072042,0.0000949146,0.00008404829,0.000003497318],"category_scores_gemma":[0.0023833385,0.00004916554,0.00002280979,0.0023072686,0.00093088404,0.00023729545,0.00016986502,0.00035374612,1.0050319e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032976537,0.000016835595,0.9812593,0.00008438815,0.00001224402,6.9273256e-8,0.0023748267,0.000059107762,0.00015238237,0.0004208726,6.971089e-8,0.015290129],"study_design_scores_gemma":[0.0007071862,0.00004718049,0.9742353,0.0001335339,0.000048395435,9.3841365e-8,0.018102724,0.005984231,0.00016415176,0.0005277174,0.000013322674,0.00003617784],"about_ca_topic_score_codex":0.08671099,"about_ca_topic_score_gemma":0.065850906,"teacher_disagreement_score":0.020860085,"about_ca_system_score_codex":0.00017944466,"about_ca_system_score_gemma":0.00070089486,"threshold_uncertainty_score":0.9511949},"labels":[],"label_agreement":null},{"id":"W4416809247","doi":"10.1016/j.ssci.2025.107063","title":"A traffic flow forecasting model based on dynamic graph learning and temporally adaptive attention","year":2025,"lang":"en","type":"article","venue":"Safety Science","topic":"Traffic Prediction and Management Techniques","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":"Artificial Intelligence in Medicine (Canada)","funders":"Science and Technology Program of Gansu Province; National Natural Science Foundation of China","keywords":"Attention network; Graph; Intelligent transportation system; Traffic congestion; Traffic flow (computer networking); Adjacency list; Feature learning","score_opus":0.007954237058243368,"score_gpt":0.21968944596209677,"score_spread":0.21173520890385342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416809247","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":[0.028249508,0.00002500913,0.95575815,0.00009975945,0.00012872732,0.00017724033,0.0000027895053,0.002014565,0.013544252],"genre_scores_gemma":[0.98589146,0.00002627265,0.013919866,0.000050152554,0.0000031578704,0.000012334,0.0000030204117,0.0000064767514,0.00008724152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993101,0.000010349209,0.00012105633,0.00021635398,0.0001650529,0.00017710649],"domain_scores_gemma":[0.99980533,0.000021649188,0.000018518775,0.0000890371,0.000026715581,0.000038766866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037681987,0.000091502225,0.00007420559,0.00033343662,0.00025055272,0.000040890212,0.00011578965,0.00002875492,0.0000013183922],"category_scores_gemma":[0.00002585329,0.00009274863,0.000026861933,0.00057285564,0.0001149354,0.00019101395,0.000030066632,0.00013589463,0.0000012453655],"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":[0.000009959238,0.0000066444586,0.000049306007,0.000017031352,0.0000027553187,7.1314844e-7,0.00003669685,0.8989875,0.00053073274,0.0007596951,0.00008264722,0.09951636],"study_design_scores_gemma":[0.00016536689,0.000037504826,0.0016219896,0.00010072179,0.000005993928,4.2029254e-7,0.000065835695,0.9976559,0.000026012909,0.0001353683,0.000102046244,0.00008283333],"about_ca_topic_score_codex":0.0000011628946,"about_ca_topic_score_gemma":0.000009553777,"teacher_disagreement_score":0.95764196,"about_ca_system_score_codex":0.000079004974,"about_ca_system_score_gemma":0.000031316402,"threshold_uncertainty_score":0.37821794},"labels":[],"label_agreement":null},{"id":"W597590429","doi":"10.1016/j.ssci.2012.11.001","title":"A clustering regression approach: A comprehensive injury severity analysis of pedestrian–vehicle crashes in New York, US and Montreal, Canada","year":2012,"lang":"en","type":"article","venue":"Safety Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"","keywords":"Pedestrian; Cluster analysis; Multinomial logistic regression; Probit model; Logistic regression; Computer science; Regression analysis; Statistics; Geography; Artificial intelligence; Transport engineering; Machine learning; Engineering; Mathematics","score_opus":0.017902775522629165,"score_gpt":0.22369609864300477,"score_spread":0.2057933231203756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W597590429","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":[0.99539673,0.0009861782,0.0017299287,0.00003797518,0.00014909389,0.0001083671,0.000023644321,0.000041160347,0.001526934],"genre_scores_gemma":[0.998719,0.00011976194,0.0010767375,0.000022996082,0.00002492164,0.0000014636245,0.0000036353117,0.0000067771475,0.000024747042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882925,0.00002508411,0.0002522515,0.00020530532,0.00028662887,0.00040149834],"domain_scores_gemma":[0.99941766,0.000053011863,0.000048911617,0.0002193338,0.000026242413,0.00023485145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025139874,0.00013226194,0.00028741302,0.00020044568,0.00009810841,0.0000139363165,0.00019631833,0.00004786062,0.000008145334],"category_scores_gemma":[0.00002123499,0.000113003836,0.000036113157,0.0015817744,0.00015166098,0.0002662865,0.00009256152,0.00012795863,4.3166764e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012815169,0.00007624772,0.59272355,0.00016448085,0.00013854951,0.0000048287134,0.0049320883,0.2956133,0.004911511,0.000043644675,0.00058129895,0.10068234],"study_design_scores_gemma":[0.00015562166,0.000006322928,0.77721494,0.000022550077,0.00003413045,0.0000018756061,0.00037714295,0.2215893,0.00013260561,0.0000026006849,0.00035343695,0.00010949262],"about_ca_topic_score_codex":0.28561926,"about_ca_topic_score_gemma":0.33832973,"teacher_disagreement_score":0.18449135,"about_ca_system_score_codex":0.00016014795,"about_ca_system_score_gemma":0.0002684191,"threshold_uncertainty_score":0.71913785},"labels":[],"label_agreement":null},{"id":"W655526281","doi":"10.1016/j.ssci.2009.09.007","title":"Application of generalized link functions in developing accident prediction models","year":2009,"lang":"en","type":"article","venue":"Safety Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Negative binomial distribution; Binomial distribution; Bayes' theorem; Markov chain Monte Carlo; Mathematics; Generalized linear model; Bayesian probability; Statistics; Computer science; Poisson distribution; Multinomial distribution; Statistical inference; Statistical model; Econometrics","score_opus":0.011420528146145676,"score_gpt":0.22420862345044057,"score_spread":0.2127880953042949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W655526281","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":[0.08564912,0.00009199479,0.9099395,0.00039753347,0.00021738478,0.00015836582,0.0000040098867,0.0001648908,0.0033771887],"genre_scores_gemma":[0.99459463,0.000097788805,0.005210838,0.000031396026,0.000033043503,0.0000069025336,0.0000059032354,0.0000036824058,0.00001580014],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992631,0.0000061803776,0.00023391956,0.00015089625,0.0001836629,0.00016225888],"domain_scores_gemma":[0.99973077,0.0000090672,0.000024760033,0.00015368685,0.000044680444,0.000037051865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027610763,0.00006335029,0.00008442098,0.00013715096,0.0000824178,0.0000075866033,0.00015719561,0.000037834652,0.0000029542766],"category_scores_gemma":[0.0000078746625,0.00006145453,0.000019895318,0.0007885232,0.000052391042,0.0003337279,0.000013492887,0.00006931203,0.000006524542],"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":[0.000005869416,0.000006712002,0.0010501085,0.0000039197407,0.0000011511472,1.17933084e-7,0.00019775983,0.9233916,0.0045053908,0.01382964,0.000013738676,0.056994002],"study_design_scores_gemma":[0.00016350702,0.000009669979,0.2944116,0.000015733161,0.0000020186467,0.0000015020327,0.000023111083,0.7022414,0.00095789135,0.0016938829,0.00041585029,0.00006383373],"about_ca_topic_score_codex":0.000013068305,"about_ca_topic_score_gemma":0.000014785522,"teacher_disagreement_score":0.9089455,"about_ca_system_score_codex":0.00014377547,"about_ca_system_score_gemma":0.000063628686,"threshold_uncertainty_score":0.2506043},"labels":[],"label_agreement":null},{"id":"W7091570129","doi":"10.1016/j.ssci.2025.107024","title":"Harmony or hazard? Quantifying driver workload under music and navigation distractions using interpretable AI","year":2025,"lang":"en","type":"article","venue":"Safety Science","topic":"Flannery O'Connor and Thomas Merton","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Distraction; Workload; Poison control; Construct (python library); Driving simulator; Landmark; Human factors and ergonomics","score_opus":0.046022304467990126,"score_gpt":0.3092519957323644,"score_spread":0.2632296912643743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7091570129","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":[0.9203962,0.00014793621,0.054029692,0.002826168,0.0019000825,0.0002587437,0.0000030393103,0.0001416207,0.020296484],"genre_scores_gemma":[0.99717015,0.000008205879,0.00035271174,0.0018179908,0.00012460614,0.0000032450134,0.000005161192,0.000007282985,0.00051067106],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889654,0.0000077786235,0.00020756925,0.0003766334,0.00021838158,0.00029310238],"domain_scores_gemma":[0.99951005,0.000046401157,0.00009415107,0.00019791335,0.00013373863,0.00001772541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044289677,0.00012830502,0.00013053072,0.00026020556,0.0009828524,0.00060420716,0.00022863422,0.00003991683,0.00011429822],"category_scores_gemma":[0.00009910838,0.00010773993,0.000034533874,0.0015789017,0.00035144025,0.0028079953,0.00022351595,0.00014498584,0.000037786154],"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":[0.0007415596,0.00041245096,0.23298246,0.001069409,0.00013645344,0.00006998855,0.00093905296,0.015585568,0.20450789,0.43512022,0.004052642,0.104382284],"study_design_scores_gemma":[0.00139508,0.000021275358,0.4004548,0.002318728,0.0002608891,0.000029649595,0.0028516138,0.517081,0.0019265489,0.023275902,0.049333945,0.0010505351],"about_ca_topic_score_codex":0.00038425045,"about_ca_topic_score_gemma":0.00019966668,"teacher_disagreement_score":0.5014955,"about_ca_system_score_codex":0.00006965566,"about_ca_system_score_gemma":0.000100633464,"threshold_uncertainty_score":0.7559406},"labels":[],"label_agreement":null},{"id":"W7104250292","doi":"10.1016/j.ssci.2025.107043","title":"The impact of exploitative leadership on safety voice: A moderated mediation model","year":2025,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","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":"Carleton University","funders":"Fundamental Research Funds for the Central Universities; National University's Basic Research Foundation of China","keywords":"Forgiveness; Moderated mediation; Interpersonal communication; Mediation; Transformational leadership; Equity (law); Multilevel model; Interpersonal relationship","score_opus":0.19422859351011312,"score_gpt":0.5342639736024632,"score_spread":0.3400353800923501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104250292","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":[0.37997678,0.0007387247,0.06384087,0.08711793,0.0025504902,0.009305628,0.00078693655,0.0002934528,0.45538917],"genre_scores_gemma":[0.9969568,0.00016624713,0.00029767255,0.00054409547,0.000046542384,0.000108664164,0.000018807705,0.0000075546973,0.0018535751],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99661535,0.0005491114,0.0006745892,0.00036134172,0.0009260161,0.0008736023],"domain_scores_gemma":[0.9938108,0.0041640806,0.00022429794,0.0004454582,0.0011356266,0.00021973715],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0052362457,0.0001398931,0.00021713386,0.00027098774,0.0036705167,0.000014248741,0.00060089404,0.000113303235,0.000049513],"category_scores_gemma":[0.0039423443,0.00008562875,0.000082421255,0.0019962126,0.00073742867,0.0003225674,0.00012522249,0.00069014437,0.00013103771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.021577716,0.00048467808,0.062277254,0.0006649188,0.00011153784,0.00000160147,0.027613556,0.24921854,0.0050081993,0.5235515,0.007931928,0.101558544],"study_design_scores_gemma":[0.00097445474,0.00023507161,0.45969975,0.00022687174,0.000003874392,1.1503264e-7,0.0032381923,0.5193564,0.000120381184,0.015790205,0.00024322559,0.00011140183],"about_ca_topic_score_codex":0.0003798845,"about_ca_topic_score_gemma":0.00014549351,"teacher_disagreement_score":0.6169801,"about_ca_system_score_codex":0.000996048,"about_ca_system_score_gemma":0.008704776,"threshold_uncertainty_score":0.99762654},"labels":[],"label_agreement":null},{"id":"W7105678832","doi":"10.1016/j.ssci.2025.107000","title":"A STAMP-Informed framework for classifying interorganizational risk management challenges in ports","year":2025,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","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":"Dalhousie University","funders":"Sistema Nacional de Investigación, Secretaría Nacional de Ciencia, Tecnología e Innovación; Secretaria Nacional de Ciencia y Tecnología; Natural Sciences and Engineering Research Council of Canada; Secretaría Nacional de Ciencia, Tecnología e Innovación; Canada Research Chairs","keywords":"Risk management; Control (management); Port (circuit theory); Corporate governance; Cluster analysis; Incident management; Risk assessment; Management control system","score_opus":0.12585938080800402,"score_gpt":0.5116115643560606,"score_spread":0.38575218354805657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105678832","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":[0.04026132,0.0023178253,0.45466295,0.07827923,0.007913299,0.013815427,0.00031412308,0.00035287102,0.40208295],"genre_scores_gemma":[0.95869696,0.0038947188,0.034361914,0.0013712475,0.00012350499,0.0005639982,0.000028619883,0.000012893964,0.00094614405],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9975407,0.00012863091,0.00058838644,0.00041644098,0.0005403169,0.0007854927],"domain_scores_gemma":[0.9968856,0.0021354475,0.0001468583,0.00031547784,0.00035817406,0.00015843248],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0033427936,0.000106304695,0.00017092575,0.00051755144,0.0015173167,0.000013199181,0.0004466392,0.000118877964,0.0001636013],"category_scores_gemma":[0.0027845697,0.00009550184,0.000031150397,0.001511862,0.0001974864,0.00026382483,0.00030132482,0.00052749045,0.000068634545],"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":[0.00025657844,0.00004037911,0.13757773,0.0006282419,0.000005749759,0.0000011773577,0.0010428934,0.00004305561,0.0000017048594,0.78063047,0.00018679768,0.07958521],"study_design_scores_gemma":[0.0006653913,0.000041315252,0.84539247,0.0006999269,0.0000034882526,1.7890956e-7,0.0032147444,0.0012726822,0.000004396801,0.1205599,0.028053485,0.00009200008],"about_ca_topic_score_codex":0.000049596518,"about_ca_topic_score_gemma":0.00041598795,"teacher_disagreement_score":0.91843563,"about_ca_system_score_codex":0.000756365,"about_ca_system_score_gemma":0.002325583,"threshold_uncertainty_score":0.99978256},"labels":[],"label_agreement":null},{"id":"W7116950374","doi":"10.1016/j.ssci.2025.107098","title":"Analysis of the functional and acoustical comfort of earplugs experienced by a group of workers in Canadian companies and identification of the influencing variables","year":2025,"lang":"en","type":"article","venue":"Safety Science","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Santé Montérégie; Institut de recherche Robert-Sauvé en santé et en sécurité du travail; École de Technologie Supérieure","funders":"Mitacs; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Identification (biology); Noise (video); Poison control; Human factors and ergonomics; Perception; Hearing loss; Occupational safety and health; Injury prevention","score_opus":0.005959490940044871,"score_gpt":0.26147253660173814,"score_spread":0.25551304566169325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116950374","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":[0.9982592,0.000099766075,0.00044867248,0.00011287151,0.00009599811,0.00009382885,0.000024509874,7.33677e-7,0.0008644615],"genre_scores_gemma":[0.99990165,0.0000070845817,0.000026362155,0.000035075784,6.5137584e-7,0.0000034279622,9.83822e-7,9.5172845e-7,0.000023782162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933445,0.000034184835,0.00027294658,0.0001406317,0.0001136906,0.000104078725],"domain_scores_gemma":[0.9995297,0.00008478289,0.00012243087,0.00018798247,0.000049042454,0.000026025762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005347129,0.000039774353,0.00013058877,0.00018198523,0.00007903713,0.0000049276855,0.0001979996,0.000026869797,0.000012246649],"category_scores_gemma":[0.00009613432,0.000027621807,0.000033859735,0.0014241072,0.0012727925,0.00005322975,0.00005988322,0.000042851527,2.0343995e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023456849,0.00002161427,0.9444112,0.000016303109,0.000044785345,1.0798264e-8,0.0018911791,0.0016587089,0.032283224,0.019102791,0.0000113409205,0.00053535064],"study_design_scores_gemma":[0.000109580506,0.0000076134047,0.9911521,0.000021241069,0.000043320175,8.723162e-8,0.004709492,0.003426272,0.00024811763,0.00024704568,0.00001209622,0.000023015507],"about_ca_topic_score_codex":0.09147481,"about_ca_topic_score_gemma":0.052613135,"teacher_disagreement_score":0.046740886,"about_ca_system_score_codex":0.000029557063,"about_ca_system_score_gemma":0.00018904876,"threshold_uncertainty_score":0.96467423},"labels":[],"label_agreement":null}]}