{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":139,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":139,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"b07afa29de4c","filters":{"venue":"Safety Science"}},"results":[{"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Adel Badri","is_ca":true},{"name":"Bryan Boudreau-Trudel","is_ca":true},{"name":"Ahmed Souissi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04184422960910978,"gpt":0.3122137641730095,"spread":0.2703695345638997,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007273551,0.0005927088,0.001101921,0.002432717,0.002975393,0.007719768,0.001717453,0.0102039,0.03710034],"category_scores_gemma":[0.01595468,0.0003184868,0.001182866,0.002341997,0.005351364,0.007570174,0.003722745,0.00959486,0.004237845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005326854,"about_ca_system_score_gemma":0.017121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01826874,"about_ca_topic_score_gemma":0.02694504,"domain_scores_codex":[0.9959732,0.001214828,0.0002475807,0.0004149195,0.00139826,0.0007512619],"domain_scores_gemma":[0.9760637,0.008734183,0.002965695,0.0009258023,0.007197258,0.004113286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003584118,0.0007650299,0.04571195,0.002882586,0.0001571812,0.001302436,0.003289446,0.0004547121,0.001652937,0.07582327,0.3987364,0.4688657],"study_design_scores_gemma":[0.00007165677,0.0005900084,0.06714162,0.007679083,0.0002238446,0.002126919,0.02643817,0.0007943577,0.0009644409,0.1010786,0.7926866,0.0002047965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007682961,0.07054136,0.0009106265,0.8995709,0.007489102,0.00001574721,0.0002375937,0.0001438921,0.01340777],"genre_scores_gemma":[0.3081022,0.2229116,0.003908945,0.4050919,0.03847647,0.0001049839,0.000654734,0.0001496342,0.02059963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03710034,"threshold_uncertainty_score":0.124113,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Nima Khakzad","is_ca":true},{"name":"Faisal Khan","is_ca":true},{"name":"Paul Amyotte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0596678224890763,"gpt":0.3655826845139191,"spread":0.3059148620248427,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01063969,0.001455003,0.002576916,0.003696787,0.0007151656,0.003600654,0.00242631,0.00224563,0.002517199],"category_scores_gemma":[0.03479051,0.001517887,0.001877657,0.001917052,0.002450789,0.004172776,0.002231971,0.002466171,0.0002888244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002212554,"about_ca_system_score_gemma":0.002303895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005466482,"about_ca_topic_score_gemma":0.004146002,"domain_scores_codex":[0.9940731,0.003513139,0.0002453304,0.0004820276,0.001454391,0.0002320406],"domain_scores_gemma":[0.9754128,0.02120174,0.001392151,0.0006111563,0.001095002,0.0002870744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005659214,0.00007942473,0.0009705311,0.0001487184,0.0001562496,0.00006600637,0.00009264886,0.803941,0.0005342053,0.1658306,0.0007242931,0.0273998],"study_design_scores_gemma":[0.00001954317,0.00003533335,0.0004294343,0.00005361346,0.00004833481,0.00004376906,0.00002400133,0.7791615,0.0001929,0.2193109,0.0006517283,0.00002901435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008473575,0.000425711,0.9883453,0.0005184245,0.0000156348,0.00003365678,0.00008274897,0.00004262514,0.002062338],"genre_scores_gemma":[0.7059044,0.003256508,0.2843068,0.0003765011,0.0003765984,0.0004480732,0.000426412,0.0001141633,0.00479071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01063969,"threshold_uncertainty_score":0.05626869,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Mohammad Yazdi","is_ca":true},{"name":"Faisal Khan","is_ca":true},{"name":"Rouzbeh Abbassi","is_ca":true},{"name":"Risza Rusli","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.103727659894283,"gpt":0.4287338072836998,"spread":0.3250061473894168,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005120415,0.0006990416,0.000777246,0.00226157,0.0009672108,0.002459012,0.001336381,0.0009547503,0.01343656],"category_scores_gemma":[0.01819054,0.0005309883,0.001076503,0.001231884,0.0006599668,0.002077325,0.002365648,0.00164061,0.002645089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205146,"about_ca_system_score_gemma":0.002728083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002007873,"about_ca_topic_score_gemma":0.003070408,"domain_scores_codex":[0.996282,0.001968856,0.0002505078,0.0002642243,0.001085847,0.0001484778],"domain_scores_gemma":[0.9907951,0.00467581,0.0004949807,0.001336542,0.002517129,0.0001805063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002464089,0.0002828108,0.002476363,0.0004781004,0.0001634936,0.0002299194,0.000329027,0.217704,0.007540324,0.1925481,0.0122409,0.5657604],"study_design_scores_gemma":[0.00005515124,0.00007073143,0.0003871217,0.00007346549,0.00003817174,0.0001050233,0.00007296765,0.8515519,0.007077979,0.1198711,0.02066239,0.00003394249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001933189,0.00004268749,0.9950198,0.0001456999,0.00002940473,0.00005413673,0.0001567878,0.0005487524,0.002069505],"genre_scores_gemma":[0.05815903,0.00006484095,0.9391691,0.0001401793,0.00003722426,0.0002070964,0.0003191556,0.000180101,0.00172313],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01343656,"threshold_uncertainty_score":0.04494977,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Jian Zhou","is_ca":false},{"name":"Enming Li","is_ca":false},{"name":"Shan Yang","is_ca":false},{"name":"Mingzheng Wang","is_ca":true},{"name":"Xiuzhi Shi","is_ca":false},{"name":"Shu Yao","is_ca":false},{"name":"Hani S. Mitri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01453230401511714,"gpt":0.2233762417952759,"spread":0.2088439377801588,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008299723,0.0005425587,0.0005404822,0.003772905,0.0003341238,0.0004696616,0.0009147566,0.0006725457,0.001433006],"category_scores_gemma":[0.003514361,0.0002326606,0.0006806419,0.001250629,0.0001951651,0.0005258073,0.0003430351,0.000373362,0.0006569107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003029853,"about_ca_system_score_gemma":0.0005016953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009544576,"about_ca_topic_score_gemma":0.01338634,"domain_scores_codex":[0.9996712,0.00004128294,0.00003569492,0.0001077542,0.0001091981,0.00003479808],"domain_scores_gemma":[0.9980578,0.0006624387,0.0002171132,0.0002725413,0.0007086775,0.00008141077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004481869,0.000505,0.31271,0.0002993128,0.0002870626,0.001669746,0.0002145231,0.3760735,0.009592801,0.0006022485,0.01080026,0.2867973],"study_design_scores_gemma":[0.000008956,0.00008313861,0.04976872,0.00003097031,0.000101068,0.0004700635,0.00007336048,0.9453241,0.002343799,0.0006472021,0.001128551,0.00002010359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.91491,0.001167503,0.07552586,0.0001310443,0.00008159897,0.00008106719,0.005565002,0.001056416,0.001481501],"genre_scores_gemma":[0.9779803,0.0002720586,0.01607597,0.00001160393,0.00002504088,0.00003426805,0.004966372,0.0000314122,0.00060312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009544576,"threshold_uncertainty_score":0.01897806,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Satish V. Ukkusuri","is_ca":false},{"name":"Luis Miranda-Moreno","is_ca":true},{"name":"Gitakrishnan Ramadurai","is_ca":false},{"name":"Jhael Isa-Tavarez","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00998997219020993,"gpt":0.180648155664446,"spread":0.1706581834742361,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005721841,0.0003807999,0.0004042712,0.0005791928,0.0005384812,0.001591675,0.0005883421,0.000755411,0.007968513],"category_scores_gemma":[0.004936148,0.000286446,0.0006882633,0.0004598759,0.0007464888,0.0006648825,0.001097689,0.0006050199,0.0006649823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004813945,"about_ca_system_score_gemma":0.0007527571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01392352,"about_ca_topic_score_gemma":0.03207904,"domain_scores_codex":[0.9994308,0.0002298222,0.00002173036,0.00007291031,0.00006408708,0.0001805915],"domain_scores_gemma":[0.9934411,0.003647569,0.0007134196,0.0004965985,0.0006504581,0.001050853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001926331,0.0002980441,0.9794057,0.00004455298,0.000360785,0.0004375098,0.0004305447,0.001841936,0.003664201,0.0006590303,0.0003179111,0.01061343],"study_design_scores_gemma":[0.000005356356,0.0001372483,0.9980931,0.000008057585,0.0001014017,0.00007509246,0.0004187125,0.0005097884,0.0002435073,0.0001594364,0.0002414709,0.00000694702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972255,0.0002482168,0.0001996469,0.0001182022,0.00001154462,0.000002859108,0.0001903188,0.000006728579,0.001997073],"genre_scores_gemma":[0.9994329,0.00005642009,0.00003693147,0.000008798267,0.000006522248,9.991285e-7,0.00003662579,0.000007500915,0.0004132593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01392352,"threshold_uncertainty_score":0.02768499,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Danièle Champoux","is_ca":true},{"name":"Jean‐Pierre Brun","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3190283696833646,"gpt":0.5518861586991507,"spread":0.2328577890157861,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006882995,0.0005537318,0.001025624,0.002879869,0.001850031,0.004850334,0.001025074,0.004286258,0.002556067],"category_scores_gemma":[0.005629401,0.0003250098,0.0006243311,0.002833887,0.003672546,0.004207605,0.00167139,0.003024834,0.0002607429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00437563,"about_ca_system_score_gemma":0.01501465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0161324,"about_ca_topic_score_gemma":0.03399318,"domain_scores_codex":[0.9968405,0.001695785,0.0002426693,0.0002370646,0.0006400268,0.0003439832],"domain_scores_gemma":[0.9880602,0.007943291,0.001062591,0.0001559459,0.00160189,0.001176221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006280376,0.001765654,0.04651988,0.01588885,0.0001938735,0.0008970342,0.004685004,0.001909023,0.001931385,0.04462456,0.02902975,0.851927],"study_design_scores_gemma":[0.0002812425,0.004545597,0.2477068,0.03697729,0.0006788336,0.006955533,0.06135881,0.005402884,0.002230353,0.1486245,0.4848069,0.0004312062],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02483315,0.8757853,0.002536417,0.08789693,0.0008074765,0.00008814393,0.00007199094,0.00004390477,0.007936768],"genre_scores_gemma":[0.1523835,0.828307,0.005644637,0.00986355,0.001730446,0.0001737235,0.0000991138,0.000008691693,0.001789362],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0161324,"threshold_uncertainty_score":0.03640121,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Valeria Villa","is_ca":false},{"name":"Nicola Paltrinieri","is_ca":false},{"name":"Faisal Khan","is_ca":true},{"name":"Valerio Cozzani","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1443543204972393,"gpt":0.4549859127744663,"spread":0.310631592277227,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006829985,0.001716642,0.003409565,0.005226587,0.000514854,0.003955849,0.002588127,0.003152873,0.003095104],"category_scores_gemma":[0.009511631,0.0007081493,0.001448073,0.008280435,0.002102023,0.00530744,0.001985528,0.003963597,0.001357532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002112279,"about_ca_system_score_gemma":0.005430072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002941006,"about_ca_topic_score_gemma":0.004846683,"domain_scores_codex":[0.9975284,0.0006711099,0.0003523731,0.0003435583,0.001010925,0.00009371],"domain_scores_gemma":[0.9876372,0.009441712,0.0007175498,0.0002936204,0.001701853,0.0002080714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005067725,0.0001141325,0.0002548338,0.04372853,0.00022845,0.0001133393,0.0001516225,0.002178663,0.0009341072,0.02901889,0.01258237,0.9106445],"study_design_scores_gemma":[0.00002882159,0.0001980595,0.001227711,0.03180521,0.0005837776,0.0008025886,0.0003238716,0.001639016,0.001323829,0.05605884,0.9058958,0.0001125049],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001029124,0.9966707,0.001683914,0.0007556434,0.0001241476,0.000006854678,0.00001791498,0.000006802145,0.0006311563],"genre_scores_gemma":[0.001045366,0.9963467,0.001849859,0.0003551152,0.0002036742,0.000009707182,0.00001753481,0.000003479638,0.0001685944],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006829985,"threshold_uncertainty_score":0.03612089,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Milad Haghani","is_ca":false},{"name":"Michiel C.J. Bliemer","is_ca":false},{"name":"Floris Goerlandt","is_ca":true},{"name":"Jie Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1704179517516671,"gpt":0.400089626527417,"spread":0.2296716747757498,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.04164757,0.001505743,0.005090049,0.2002304,0.003091205,0.01002986,0.00199417,0.002322625,0.005381211],"category_scores_gemma":[0.2229164,0.00124935,0.005822143,0.2112727,0.003237131,0.007184265,0.005456355,0.001545754,0.0007585789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008685111,"about_ca_system_score_gemma":0.03112794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01134213,"about_ca_topic_score_gemma":0.01784313,"domain_scores_codex":[0.9400859,0.01591035,0.02290911,0.003341303,0.01644392,0.001309524],"domain_scores_gemma":[0.6774653,0.260964,0.02405053,0.005600445,0.03013421,0.001785535],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002060403,0.0000677898,0.02433574,0.6370183,0.005992728,0.0009704659,0.006604262,0.001153186,0.0007713226,0.009958196,0.01654858,0.2963733],"study_design_scores_gemma":[0.00008780682,0.0002015775,0.05518348,0.696444,0.02449004,0.001632773,0.01320512,0.001151889,0.0007984128,0.01337341,0.1932236,0.0002079949],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02256371,0.9337592,0.005595786,0.009548216,0.0008736477,0.00260684,0.01378714,0.0001349811,0.01113049],"genre_scores_gemma":[0.1128083,0.8606196,0.01034729,0.001740325,0.0006458113,0.004144558,0.008709311,0.00008046588,0.0009042645],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9583524,"threshold_uncertainty_score":0.220256,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Karim El‐Basyouny","is_ca":true},{"name":"Tarek Sayed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01833864153574451,"gpt":0.2248401639009615,"spread":0.206501522365217,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003114141,0.001765007,0.0006838265,0.002822312,0.0007710996,0.00379053,0.0008741528,0.001029165,0.01031754],"category_scores_gemma":[0.01558495,0.0002655172,0.001003098,0.001804582,0.0007604829,0.003541087,0.001478215,0.0009793078,0.001267805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523121,"about_ca_system_score_gemma":0.0009982041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00231952,"about_ca_topic_score_gemma":0.001258401,"domain_scores_codex":[0.9966694,0.001395712,0.0001642329,0.0003875608,0.0009566391,0.0004264574],"domain_scores_gemma":[0.9904011,0.005659241,0.001027034,0.0007796602,0.001743727,0.0003892938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001982613,0.001730332,0.1219607,0.0004652386,0.0009073723,0.0005084721,0.001912585,0.3848469,0.01357714,0.1860318,0.006310693,0.2797661],"study_design_scores_gemma":[0.00007228684,0.001495079,0.09248883,0.0001086826,0.0004040734,0.0004093204,0.001763282,0.7775443,0.01300392,0.1050239,0.007509681,0.0001766944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7013816,0.0004150458,0.2049984,0.0006484788,0.0002255402,0.0001431378,0.0006830576,0.0006954996,0.09080932],"genre_scores_gemma":[0.9922845,0.00004989814,0.004359696,0.00002224057,0.00003659815,0.00004339387,0.0001275351,0.00004563744,0.003030465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01031754,"threshold_uncertainty_score":0.03451562,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Jie Li","is_ca":false},{"name":"Floris Goerlandt","is_ca":true},{"name":"Genserik Reniers","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2517380484306804,"gpt":0.466025153135134,"spread":0.2142871047044536,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.03681068,0.003549371,0.004938899,0.06899102,0.00307233,0.014295,0.004492213,0.002948834,0.007929512],"category_scores_gemma":[0.100414,0.00168962,0.003894554,0.09467439,0.003396409,0.009980338,0.007599164,0.00340606,0.0042293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005813143,"about_ca_system_score_gemma":0.01305247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198342,"about_ca_topic_score_gemma":0.01181036,"domain_scores_codex":[0.9721197,0.014595,0.003038868,0.002221356,0.007453347,0.0005716849],"domain_scores_gemma":[0.9182596,0.05400497,0.004227598,0.008930148,0.01293677,0.001640848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005689956,0.0001612982,0.007758174,0.008713309,0.000742745,0.0001371492,0.001161779,0.01178398,0.0005829352,0.2214214,0.05540564,0.6920747],"study_design_scores_gemma":[0.00003276662,0.00008067097,0.009661251,0.004736382,0.0002940811,0.0004698808,0.0009799211,0.04032032,0.001457168,0.5919998,0.3497087,0.0002589756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.003374119,0.04721672,0.9037263,0.01104849,0.0008734436,0.0009479494,0.007894251,0.004844402,0.02007435],"genre_scores_gemma":[0.04674565,0.08215491,0.8509709,0.001260667,0.002510183,0.002566475,0.009364362,0.001131865,0.003295028],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.931009,"threshold_uncertainty_score":0.1946758,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Sylvie Montreuil","is_ca":true},{"name":"Katherine Lippel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1790997505517076,"gpt":0.5221949190684777,"spread":0.3430951685167701,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003836214,0.0003900308,0.0004470699,0.002631519,0.006140769,0.003296246,0.001893429,0.001545254,0.01091682],"category_scores_gemma":[0.01551481,0.000322074,0.0005238176,0.005562369,0.003446818,0.001702441,0.001449307,0.001815063,0.0003986447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0452382,"about_ca_system_score_gemma":0.03982037,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9900031,"about_ca_topic_score_gemma":0.9939334,"domain_scores_codex":[0.9961355,0.001395507,0.0001103228,0.0003616051,0.001267973,0.000729182],"domain_scores_gemma":[0.9690502,0.01745388,0.003379019,0.0007996641,0.007257275,0.00205991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005256443,0.001560906,0.9039094,0.0003285824,0.0001438091,0.0006887954,0.01604934,0.001104374,0.0006032378,0.01095563,0.01068541,0.05344468],"study_design_scores_gemma":[0.00006346881,0.0001406292,0.9703865,0.00029473,0.00008648303,0.00006798632,0.01931282,0.001017242,0.0001844795,0.0004463202,0.007969927,0.0000293447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9452211,0.004432837,0.0007885579,0.008415814,0.00006592554,0.0001870818,0.001680701,0.00002074661,0.03918722],"genre_scores_gemma":[0.9866259,0.001803931,0.0003909862,0.000895333,0.00003091214,0.00007942494,0.0003599016,0.00001125269,0.00980238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0452382,"threshold_uncertainty_score":0.3282276,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Tarek Sayed","is_ca":true},{"name":"Mohamed H. Zaki","is_ca":true},{"name":"Jarvis Autey","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008195488753002592,"gpt":0.2551249433484737,"spread":0.2469294545954712,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002439059,0.0006877735,0.0005658937,0.002746613,0.0004403245,0.0006375791,0.0005882921,0.0006510268,0.001326592],"category_scores_gemma":[0.0007742281,0.0002790329,0.0004732487,0.0005754525,0.0002522081,0.0004210018,0.000530598,0.0004538813,0.0006772481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003668728,"about_ca_system_score_gemma":0.000819431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006430856,"about_ca_topic_score_gemma":0.006867029,"domain_scores_codex":[0.9996445,0.00005108304,0.00001422689,0.00007939121,0.0001286874,0.00008206852],"domain_scores_gemma":[0.9995615,0.00008974419,0.00006098145,0.00003225853,0.0002178351,0.00003763933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001097991,0.0005977427,0.02984179,0.0002053464,0.0001910007,0.0007636582,0.0002244825,0.07396585,0.2093194,0.002051159,0.004474532,0.6772671],"study_design_scores_gemma":[0.00002292479,0.0001742123,0.02057751,0.00001621761,0.00005015847,0.0003412438,0.0001349915,0.9506196,0.02496924,0.00186909,0.001200672,0.00002407203],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3640063,0.000516763,0.6284479,0.0001657764,0.00009701247,0.0001243473,0.0002297597,0.001745946,0.004666114],"genre_scores_gemma":[0.9495104,0.0001186641,0.04874763,0.00003710914,0.00002564346,0.00002343376,0.0002086622,0.00003594083,0.001292382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006430856,"threshold_uncertainty_score":0.01278687,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Bushra Khan","is_ca":true},{"name":"Faisal Khan","is_ca":true},{"name":"Brian Veitch","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01094154379488298,"gpt":0.2310641856240533,"spread":0.2201226418291703,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003567072,0.000918285,0.001844024,0.002146497,0.000846623,0.002188833,0.003031692,0.002924618,0.004349242],"category_scores_gemma":[0.01377168,0.001467289,0.001133473,0.001993911,0.001626296,0.00361058,0.001483316,0.002561921,0.0006972087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003413692,"about_ca_system_score_gemma":0.002152202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08300656,"about_ca_topic_score_gemma":0.05800508,"domain_scores_codex":[0.9988368,0.0004603043,0.00004728291,0.0003473712,0.0001653072,0.0001429423],"domain_scores_gemma":[0.9943355,0.004552546,0.0004150146,0.000114394,0.0004223654,0.000160264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003779916,0.00001487175,0.0007952908,0.00001358183,0.00002482128,0.00003083395,0.00002830813,0.9790025,0.00006925588,0.01492892,0.000599693,0.004454309],"study_design_scores_gemma":[0.000008922647,0.00000541693,0.0002188546,0.000006479267,0.000009744116,0.000008871289,0.000006685751,0.9898156,0.00001993569,0.009687101,0.0002041306,0.000008181661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.104812,0.0009222178,0.8837897,0.002043113,0.0001028363,0.00009495875,0.00144867,0.0003057365,0.006480932],"genre_scores_gemma":[0.9144567,0.001442655,0.0658686,0.0002449433,0.0001693149,0.0002733074,0.001556796,0.0001228158,0.01586479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08300656,"threshold_uncertainty_score":0.1650468,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Mary Stergiou‐Kita","is_ca":true},{"name":"Elizabeth Mansfield","is_ca":true},{"name":"Randy Bezo","is_ca":true},{"name":"Angela Colantonio","is_ca":true},{"name":"Enzo Garritano","is_ca":false},{"name":"Marc Lafrance","is_ca":true},{"name":"John Lewko","is_ca":true},{"name":"Steve Mantis","is_ca":true},{"name":"Joel Moody","is_ca":false},{"name":"Nicole Gerarda Power","is_ca":true},{"name":"Nancy Théberge","is_ca":true},{"name":"Eleanor Westwood","is_ca":false},{"name":"Krista Travers","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0415246543642292,"gpt":0.394903094602842,"spread":0.3533784402386128,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009867859,0.0002887033,0.0003272987,0.001021347,0.001414913,0.002120933,0.0004006244,0.0007959119,0.005402532],"category_scores_gemma":[0.002164647,0.0001780858,0.0002546126,0.0008452877,0.001975356,0.001053035,0.001717851,0.0008437848,0.0001825258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004271755,"about_ca_system_score_gemma":0.001277036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01219317,"about_ca_topic_score_gemma":0.01801424,"domain_scores_codex":[0.9995503,0.0002363753,0.00001849458,0.00003903365,0.00007872105,0.00007704384],"domain_scores_gemma":[0.9987165,0.0004995036,0.0002888677,0.00002730468,0.00006348336,0.0004044616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008911293,0.0006510998,0.9175263,0.0002337671,0.0001274068,0.0006313102,0.02663825,0.0002694507,0.001071919,0.01088215,0.0008460119,0.04023125],"study_design_scores_gemma":[0.00002445085,0.0003501876,0.9462045,0.0001597552,0.00007292758,0.0003853581,0.04507219,0.0003196648,0.0001350823,0.004170456,0.003078565,0.00002692617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893527,0.004434267,0.0001020032,0.0013967,0.00004309986,0.000005651632,0.00003626452,0.00000297031,0.004626469],"genre_scores_gemma":[0.9984718,0.0007683795,0.00004868065,0.00006817834,0.00003188174,0.000002460393,0.000009299801,7.547814e-7,0.0005985468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01219317,"threshold_uncertainty_score":0.02424443,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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)","authors":[{"name":"Alain Garrigou","is_ca":false},{"name":"C. Laurent","is_ca":false},{"name":"Aurélie Berthet","is_ca":false},{"name":"Claudio Colosio","is_ca":false},{"name":"Nathalie Jas","is_ca":false},{"name":"Véronique Daubas-Letourneux","is_ca":false},{"name":"José Marçal Jackson Filho","is_ca":false},{"name":"Jean-Noël Jouzel","is_ca":false},{"name":"Isabelle Baldi","is_ca":false},{"name":"Pierre Lebailly","is_ca":false},{"name":"Louis Galey","is_ca":false},{"name":"Fabienne Goutille","is_ca":false},{"name":"Nathalie Judon","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02923340980117492,"gpt":0.2888808269271176,"spread":0.2596474171259427,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007612974,0.001140091,0.002966625,0.006388012,0.0006248439,0.002522049,0.002113818,0.002940825,0.004772861],"category_scores_gemma":[0.02383614,0.0007332943,0.002176684,0.005737793,0.001244084,0.002803399,0.001080805,0.002930008,0.00110728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00304174,"about_ca_system_score_gemma":0.01131376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00540426,"about_ca_topic_score_gemma":0.009204228,"domain_scores_codex":[0.9958762,0.001395765,0.001336259,0.0003297358,0.0009268745,0.0001351408],"domain_scores_gemma":[0.9640395,0.02517307,0.002975816,0.0004818519,0.006900479,0.0004293065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003056313,0.00008481152,0.0002782927,0.3941482,0.0006139287,0.000248197,0.0005494395,0.0002364505,0.0006287147,0.00400576,0.0568268,0.5420737],"study_design_scores_gemma":[0.00004567708,0.000307879,0.002128773,0.35822,0.001642704,0.0006117841,0.0004589792,0.00006638311,0.0003121036,0.001725643,0.634437,0.00004300837],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006683778,0.9978701,0.00004722589,0.001094602,0.0005822522,0.00001892928,0.00002512608,0.000002753242,0.0002921616],"genre_scores_gemma":[0.0006826704,0.9977261,0.0001615742,0.0008125798,0.0004159954,0.00003253948,0.00003175749,0.000002357125,0.0001343613],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007612974,"threshold_uncertainty_score":0.04026175,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Mashrura Musharraf","is_ca":true},{"name":"Junaid Hassan","is_ca":true},{"name":"Faisal Khan","is_ca":true},{"name":"Brian Veitch","is_ca":true},{"name":"Scott N. MacKinnon","is_ca":true},{"name":"Syed Imtiaz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0432768929239296,"gpt":0.407598828421226,"spread":0.3643219354972964,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006439356,0.0002913659,0.0002570074,0.0007818945,0.0003202797,0.0003425626,0.0002692098,0.0003902532,0.001427077],"category_scores_gemma":[0.003550444,0.0001536936,0.000189776,0.0002390346,0.0002004524,0.0002441483,0.0003286576,0.0002401732,0.0003207747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002167207,"about_ca_system_score_gemma":0.0003311397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004053529,"about_ca_topic_score_gemma":0.005018818,"domain_scores_codex":[0.9996645,0.0001363932,0.00001521279,0.00003569672,0.00009850298,0.00004960827],"domain_scores_gemma":[0.9983956,0.0008168955,0.0001470303,0.00006936819,0.000483795,0.00008726399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01212759,0.0004662304,0.4761309,0.0006675996,0.000304693,0.002290919,0.00448899,0.1365561,0.146563,0.001313213,0.003341415,0.2157493],"study_design_scores_gemma":[0.00009018953,0.00642396,0.6947522,0.0001136583,0.0002231163,0.001229443,0.004615406,0.2567603,0.03146036,0.002242762,0.001972564,0.0001159914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883924,0.0001182224,0.0091724,0.00004728412,0.00001349915,0.00003623391,0.0001508117,0.00002824293,0.002040823],"genre_scores_gemma":[0.998737,0.00003757821,0.0007644498,0.000005922584,0.000006373213,0.0000132818,0.00004793386,0.00000430393,0.0003831473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004053529,"threshold_uncertainty_score":0.008059859,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Deirdre McCaughey","is_ca":false},{"name":"Jami L. DelliFraine","is_ca":false},{"name":"Gwen McGhan","is_ca":false},{"name":"Nealia S. Bruning","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03009290147340199,"gpt":0.4462635228731778,"spread":0.4161706213997758,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002952818,0.0003583599,0.0003798822,0.0007614883,0.001381561,0.001548312,0.0005356896,0.001108972,0.004079643],"category_scores_gemma":[0.01580061,0.0004632156,0.001170583,0.0004920374,0.001205168,0.0008449012,0.002165325,0.002125358,0.0003556547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008192784,"about_ca_system_score_gemma":0.001941367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01340797,"about_ca_topic_score_gemma":0.02321747,"domain_scores_codex":[0.9975339,0.001018285,0.0001699476,0.0001914617,0.000545394,0.000541061],"domain_scores_gemma":[0.9811134,0.006787552,0.005727776,0.0007110815,0.001311437,0.004348732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003168509,0.001045466,0.993593,0.00002967267,0.0001458282,0.00006896845,0.001140416,0.00006514209,0.0003008132,0.00008080996,0.0001239446,0.003089113],"study_design_scores_gemma":[0.000008255924,0.0001504603,0.9984437,0.00001255523,0.00003393723,0.00002519926,0.001087347,0.00005385038,0.0000432454,0.00006216551,0.0000736586,0.000005548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983772,0.0002113473,0.00003298089,0.0003131299,0.0000159863,0.000007182798,0.00004364349,0.000001196024,0.000997296],"genre_scores_gemma":[0.9993488,0.0001424468,0.00004056019,0.00009346168,0.00001969513,0.000009790838,0.00005000359,0.00000115548,0.0002941782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01340797,"threshold_uncertainty_score":0.02665985,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Ketki Kulkarni","is_ca":false},{"name":"Floris Goerlandt","is_ca":true},{"name":"Jie Li","is_ca":false},{"name":"Osiris A. Valdez Banda","is_ca":false},{"name":"Pentti Kujala","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005641816690762481,"gpt":0.2044541197172832,"spread":0.1988123030265207,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003040111,0.0002677091,0.0002341629,0.003337944,0.001278862,0.004252254,0.0005245871,0.0008885243,0.001302553],"category_scores_gemma":[0.004263219,0.0001269522,0.0001941669,0.005253016,0.001337579,0.002731787,0.001195915,0.0005512665,0.0001344057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003414169,"about_ca_system_score_gemma":0.006388602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01925559,"about_ca_topic_score_gemma":0.03181515,"domain_scores_codex":[0.9984521,0.0005281044,0.0001497365,0.0001540412,0.0005597371,0.0001563182],"domain_scores_gemma":[0.9961616,0.001667549,0.0008891569,0.00007328888,0.001025477,0.000182986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000127953,0.0002026378,0.1528406,0.006737541,0.0001558221,0.00210148,0.03287788,0.002743584,0.001518814,0.02492741,0.006498843,0.7692673],"study_design_scores_gemma":[0.0000163839,0.0004453192,0.47797,0.01338284,0.0002931436,0.002664547,0.1843746,0.003208384,0.001968953,0.01689728,0.2986784,0.0001001175],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5111419,0.375484,0.003413737,0.04352595,0.0006635336,0.00006907686,0.0002467707,0.00003896576,0.06541608],"genre_scores_gemma":[0.8749453,0.1198029,0.001640661,0.0006509147,0.0001922559,0.0000217554,0.0001055009,0.000004964229,0.002635757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01925559,"threshold_uncertainty_score":0.03828698,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Typhaine M. Juvet","is_ca":false},{"name":"Sandrine Corbaz-Kurth","is_ca":false},{"name":"Pauline Roos","is_ca":false},{"name":"Lamyae Benzakour","is_ca":false},{"name":"Sara Cereghetti","is_ca":false},{"name":"Grégory Moullec","is_ca":true},{"name":"Jean-Claude Suard","is_ca":false},{"name":"Laure Vieux","is_ca":false},{"name":"Hannah Wozniak","is_ca":false},{"name":"Jacques A. Pralong","is_ca":false},{"name":"Rafaël Weissbrodt","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.145623231592828,"gpt":0.4263580586759958,"spread":0.2807348270831678,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005421287,0.0003550006,0.000323237,0.001240153,0.003549829,0.003087645,0.0006520722,0.0009838842,0.001453935],"category_scores_gemma":[0.006657863,0.0002988803,0.0003440242,0.0007841976,0.002864187,0.001634244,0.003892827,0.0009949764,0.0001601507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002179055,"about_ca_system_score_gemma":0.002681597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006507947,"about_ca_topic_score_gemma":0.01462481,"domain_scores_codex":[0.9960664,0.002294794,0.0001740538,0.0002397162,0.0003188351,0.0009061761],"domain_scores_gemma":[0.9958746,0.00189064,0.001200739,0.0001782555,0.0002679967,0.0005878778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002591409,0.0003898966,0.5021065,0.0002043592,0.00006376032,0.001088417,0.4709139,0.000305433,0.001659263,0.0009411906,0.0006217477,0.02144624],"study_design_scores_gemma":[0.000005970974,0.0002202516,0.2631874,0.0001147099,0.00001348255,0.0002759566,0.7340809,0.0002396881,0.000274848,0.0003543821,0.001200499,0.00003195827],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999086,0.0001044109,0.0001494567,0.000204978,0.000005115907,0.00001019901,0.00001148344,0.000001241111,0.0004271155],"genre_scores_gemma":[0.9997115,0.00006829509,0.00006989613,0.00005663801,0.000003468172,0.00001051514,0.000007483568,0.000001018716,0.00007132455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006507947,"threshold_uncertainty_score":0.02867079,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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)","authors":[{"name":"Faisal Khan","is_ca":true},{"name":"Paul Amyotte","is_ca":true},{"name":"Dean G. DiMattia","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1327831228655989,"gpt":0.427026803183481,"spread":0.2942436803178821,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002572146,0.001484249,0.001358257,0.002950887,0.0004567385,0.001276263,0.002052927,0.001122666,0.01610507],"category_scores_gemma":[0.01380545,0.0006581647,0.0007705582,0.001605892,0.000388884,0.00214112,0.001647337,0.001342703,0.004113014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005332141,"about_ca_system_score_gemma":0.0008646502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001841051,"about_ca_topic_score_gemma":0.001491789,"domain_scores_codex":[0.9983913,0.0003416965,0.0000988534,0.0001543206,0.0009540849,0.00005971487],"domain_scores_gemma":[0.9936912,0.003525228,0.0004642868,0.0008442975,0.001304557,0.0001704904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004956129,0.0001729995,0.006479503,0.0005634465,0.0003492573,0.0002304031,0.0001825013,0.189494,0.007365343,0.02440742,0.04377964,0.7264798],"study_design_scores_gemma":[0.00005227943,0.0001250738,0.001791871,0.00003952624,0.00007669006,0.0002284053,0.00002556405,0.9574685,0.01116187,0.01633426,0.01262139,0.00007462945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001764094,0.00004869218,0.9874307,0.0000337068,0.00004635255,0.00004652363,0.0005015635,0.008937689,0.00119066],"genre_scores_gemma":[0.07643421,0.0001308781,0.9160689,0.00009307575,0.000131277,0.000563494,0.001383,0.001556274,0.0036389],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01610507,"threshold_uncertainty_score":0.05387688,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"T. Deacon","is_ca":true},{"name":"Paul Amyotte","is_ca":true},{"name":"Faisal Khan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05195350049078643,"gpt":0.3927848070314119,"spread":0.3408313065406254,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043709,0.0006107745,0.0005977708,0.002045239,0.000394605,0.00124416,0.0006174416,0.0008452587,0.002035491],"category_scores_gemma":[0.01896701,0.0002381692,0.0007148696,0.0007365114,0.0006278376,0.001057902,0.0007987772,0.0007470456,0.0001620719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093857,"about_ca_system_score_gemma":0.00160548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007630715,"about_ca_topic_score_gemma":0.00348108,"domain_scores_codex":[0.9976712,0.001322711,0.0001104673,0.0001457857,0.0006020566,0.0001477369],"domain_scores_gemma":[0.98422,0.01280751,0.0009778658,0.0003702724,0.001453251,0.0001712172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005284799,0.0001812292,0.02443124,0.0001710516,0.0002689716,0.0003305144,0.0003848996,0.8659057,0.001182035,0.02946494,0.001479238,0.07567168],"study_design_scores_gemma":[0.00002096347,0.000227381,0.01080068,0.00004473372,0.00009256367,0.0001308545,0.0005265563,0.9543478,0.001175813,0.03171203,0.0008953573,0.0000252192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4963277,0.001378577,0.4885791,0.001188946,0.00008150619,0.000144631,0.000219135,0.0001250485,0.01195535],"genre_scores_gemma":[0.9795079,0.0004776273,0.01712481,0.00004208457,0.00004651998,0.00005175193,0.0001015084,0.00002587176,0.002622002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007630715,"threshold_uncertainty_score":0.02311581,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Raphael Moura","is_ca":false},{"name":"Michael Beer","is_ca":false},{"name":"Edoardo Patelli","is_ca":false},{"name":"John W. Lewis","is_ca":false},{"name":"Franz Knoll","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1455377745373677,"gpt":0.4712224065718384,"spread":0.3256846320344707,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003416365,0.001512181,0.0005343397,0.001030939,0.0009315721,0.001783376,0.001500479,0.001151971,0.01085277],"category_scores_gemma":[0.03081986,0.0005394346,0.0008150611,0.0004108135,0.0006741057,0.004365943,0.002145162,0.002616099,0.002070696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291744,"about_ca_system_score_gemma":0.003618473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002886239,"about_ca_topic_score_gemma":0.008897085,"domain_scores_codex":[0.9975975,0.001028262,0.0001260199,0.0003566443,0.0007434432,0.0001480773],"domain_scores_gemma":[0.9771937,0.0108399,0.001972193,0.003871707,0.005413503,0.0007089089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002195914,0.002454336,0.02256063,0.0008187045,0.0001269278,0.0001634495,0.002339185,0.04678473,0.009751895,0.01174958,0.01933689,0.8836939],"study_design_scores_gemma":[0.0002879799,0.006122934,0.03065287,0.00191909,0.0007439617,0.0008752102,0.007849434,0.4760354,0.08064945,0.2854538,0.1091397,0.0002701276],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.190318,0.0009284159,0.7611602,0.007800023,0.0003988638,0.0005161913,0.0004225722,0.006067771,0.03238794],"genre_scores_gemma":[0.5746091,0.0009858346,0.4096192,0.00137941,0.0001370305,0.0002162035,0.0008603929,0.0005290596,0.0116638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01085277,"threshold_uncertainty_score":0.03630608,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Dragan Komljenović","is_ca":true},{"name":"Mohamed Gaha","is_ca":true},{"name":"Georges Abdul-Nour","is_ca":true},{"name":"Christian Langheit","is_ca":true},{"name":"Michel Bourgeois","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04297547094048625,"gpt":0.2779970072792285,"spread":0.2350215363387423,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003909121,0.000472143,0.0004746364,0.001579947,0.000834016,0.002829264,0.0006842577,0.001779113,0.002465635],"category_scores_gemma":[0.02804588,0.0002945895,0.0004937768,0.001060325,0.003339237,0.005287748,0.002285762,0.002406073,0.0001421949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001445199,"about_ca_system_score_gemma":0.0009179334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001457028,"about_ca_topic_score_gemma":0.001806371,"domain_scores_codex":[0.9979383,0.000966876,0.0001085529,0.0002219259,0.0005825401,0.0001817579],"domain_scores_gemma":[0.976692,0.01770857,0.003213787,0.0008574102,0.0009961505,0.0005320921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001657723,0.0001066024,0.02346315,0.0001813428,0.0001893426,0.0008404588,0.001076328,0.2118066,0.0007235776,0.7030389,0.002779166,0.05562878],"study_design_scores_gemma":[0.000007238337,0.00005710696,0.006134801,0.0001108019,0.00005082915,0.0003104899,0.0007796393,0.07801985,0.0002768673,0.9119769,0.002236341,0.00003916558],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5269275,0.01178113,0.3758534,0.01913528,0.0006770242,0.00006966861,0.0002298211,0.0002408171,0.06508543],"genre_scores_gemma":[0.9939342,0.001213222,0.003283419,0.0001002663,0.0002536156,0.00001140255,0.00001521047,0.0000078609,0.001180795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003909121,"threshold_uncertainty_score":0.02067369,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Meng Zhang","is_ca":false},{"name":"Vladislav Kecojević","is_ca":false},{"name":"Dragan Komljenović","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09585409777268991,"gpt":0.4547136633355426,"spread":0.3588595655628527,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004011415,0.0002449032,0.0002382203,0.002205489,0.0004185504,0.000314632,0.0003037789,0.0002995761,0.0008527999],"category_scores_gemma":[0.001528274,0.00009254583,0.0004365632,0.00113647,0.0001312516,0.0004428637,0.0002190298,0.0001567535,0.0001454061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002806206,"about_ca_system_score_gemma":0.0005062423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007219406,"about_ca_topic_score_gemma":0.009286863,"domain_scores_codex":[0.9997007,0.00005513693,0.00003134425,0.00004352192,0.0001149235,0.0000544338],"domain_scores_gemma":[0.9982358,0.000788138,0.0003175991,0.00008599586,0.0005118597,0.0000605833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006950571,0.0002269752,0.8126767,0.0002181204,0.0001956367,0.001363043,0.0005986089,0.04924446,0.01444346,0.001528328,0.0009151798,0.1178945],"study_design_scores_gemma":[0.00001262079,0.0004621258,0.5738477,0.00004123701,0.0002426872,0.001179396,0.001190257,0.4131971,0.006650682,0.001935453,0.001211482,0.00002933504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987304,0.0001295991,0.01130917,0.00002739023,0.000005700172,0.00001977793,0.000538632,0.00008063212,0.0005850829],"genre_scores_gemma":[0.996669,0.00005326355,0.002689082,0.000002967571,0.000002703192,0.000004652937,0.0003774388,0.000003528073,0.0001973826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007219406,"threshold_uncertainty_score":0.01435477,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Raphael Moura","is_ca":false},{"name":"Michael Beer","is_ca":false},{"name":"Edoardo Patelli","is_ca":false},{"name":"John W. Lewis","is_ca":false},{"name":"Franz Knoll","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1550734150462299,"gpt":0.5409321561566103,"spread":0.3858587411103803,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05881681,0.0009384929,0.0009254127,0.003133093,0.002994795,0.006530043,0.002116297,0.001932196,0.003959851],"category_scores_gemma":[0.1987344,0.0004908777,0.001308366,0.001516182,0.003731341,0.008331393,0.005423174,0.003239466,0.0009481221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598487,"about_ca_system_score_gemma":0.006236523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002730345,"about_ca_topic_score_gemma":0.004115324,"domain_scores_codex":[0.9326404,0.04052178,0.004011814,0.003416654,0.01792081,0.001488597],"domain_scores_gemma":[0.7359787,0.2015057,0.02005484,0.01987034,0.01970708,0.002883469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008131384,0.00314611,0.668207,0.001537153,0.001100483,0.0003707118,0.03356086,0.004460065,0.003298081,0.0322496,0.00194377,0.249313],"study_design_scores_gemma":[0.0001676009,0.00622557,0.7312745,0.003372882,0.001577548,0.0009920762,0.05161771,0.01305163,0.02142102,0.138755,0.03115435,0.0003901969],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8266639,0.002241714,0.1211706,0.004018832,0.0002998316,0.001431822,0.0005973348,0.0002143556,0.04336149],"genre_scores_gemma":[0.9688973,0.0004895056,0.02753301,0.0004964274,0.0001075288,0.0007089532,0.0002201509,0.00006937006,0.001477719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05881681,"threshold_uncertainty_score":0.3110567,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Dragan Komljenović","is_ca":true},{"name":"William A. Groves","is_ca":false},{"name":"Vladislav Kecojević","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05072718687490715,"gpt":0.4835235981150253,"spread":0.4327964112401181,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001353462,0.000589572,0.0002524333,0.002590105,0.0005286497,0.0006141203,0.0007610436,0.0006508987,0.003062441],"category_scores_gemma":[0.005391444,0.0002778895,0.001329095,0.001799631,0.0002499941,0.0006226253,0.0009995388,0.0004777354,0.0003227862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131187,"about_ca_system_score_gemma":0.001325917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0469375,"about_ca_topic_score_gemma":0.08682798,"domain_scores_codex":[0.9988696,0.0004014726,0.000119132,0.0001303335,0.000360157,0.0001193395],"domain_scores_gemma":[0.9962108,0.001504149,0.0009993799,0.0001594341,0.0008943205,0.0002319566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007714572,0.0004670344,0.9814735,0.00004932579,0.0003126317,0.0001795132,0.0002819556,0.004526939,0.0002636693,0.0003361093,0.001102349,0.01023553],"study_design_scores_gemma":[0.00003348007,0.0009229394,0.9869139,0.00003089934,0.0002492715,0.000212354,0.00145113,0.008943649,0.0002629863,0.0004319616,0.0005336126,0.0000138511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967179,0.000217234,0.0006115811,0.0002297751,0.000005443536,0.00008263047,0.001218848,0.000008987122,0.0009076485],"genre_scores_gemma":[0.9962805,0.0003595073,0.0007508326,0.00005271526,0.00001420397,0.00005689913,0.00175149,0.000003213576,0.0007306547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0469375,"threshold_uncertainty_score":0.0933286,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"T. Deacon","is_ca":true},{"name":"Paul Amyotte","is_ca":true},{"name":"Faisal Khan","is_ca":true},{"name":"Scott N. MacKinnon","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1814528382353566,"gpt":0.4794011816533625,"spread":0.297948343418006,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005218613,0.001521235,0.001648834,0.002719588,0.001088741,0.003757118,0.003157542,0.002070906,0.004099238],"category_scores_gemma":[0.012267,0.0006349703,0.002459407,0.001615598,0.002208392,0.002609961,0.003418278,0.002041842,0.0004827959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001970918,"about_ca_system_score_gemma":0.004776399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02172015,"about_ca_topic_score_gemma":0.01030997,"domain_scores_codex":[0.9966006,0.001586317,0.00020809,0.0004302787,0.0008326673,0.0003420711],"domain_scores_gemma":[0.9949351,0.003293639,0.0004074017,0.0003265537,0.0008338572,0.0002034161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002544921,0.00004933368,0.0005558846,0.00007047039,0.00008572284,0.0001137634,0.000139148,0.6974265,0.0003849291,0.2864883,0.0009181001,0.01374243],"study_design_scores_gemma":[0.000008182499,0.00002360765,0.0001476632,0.00002977586,0.00001991054,0.00002231134,0.00005519483,0.8818117,0.0001252208,0.1164271,0.001314965,0.00001440945],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002953839,0.000167742,0.994396,0.0003091523,0.00003180457,0.00004041714,0.00006813362,0.00005681896,0.00197615],"genre_scores_gemma":[0.4724202,0.001159015,0.5185887,0.000204,0.0003490984,0.0005527079,0.0004017933,0.0001271637,0.006197295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02172015,"threshold_uncertainty_score":0.04318744,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Maryam Alkaissy","is_ca":false},{"name":"Mehrdad Arashpour","is_ca":false},{"name":"Emadaldin Mohammadi Golafshani","is_ca":false},{"name":"M. Reza Hosseini","is_ca":false},{"name":"Sadegh Khanmohammadi","is_ca":false},{"name":"Yu Bai","is_ca":false},{"name":"Haibo Feng","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06068363605959384,"gpt":0.4495446168880338,"spread":0.38886098082844,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001970414,0.0007767318,0.0004786452,0.003179828,0.0002958284,0.0008233614,0.0006435301,0.0005939597,0.0008167381],"category_scores_gemma":[0.006022371,0.0001948971,0.0007170099,0.001475973,0.0002237862,0.0008960514,0.0005511464,0.0006194746,0.0005694382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007130214,"about_ca_system_score_gemma":0.001052829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009909281,"about_ca_topic_score_gemma":0.01073351,"domain_scores_codex":[0.9990776,0.0003207008,0.00007052459,0.0001828529,0.0002607344,0.00008762073],"domain_scores_gemma":[0.9977459,0.0009451842,0.0004483897,0.0001295624,0.0006547812,0.0000761808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003477326,0.0009654597,0.441103,0.0002443468,0.0002638736,0.0001292237,0.0002877943,0.09759933,0.006217355,0.0004147325,0.002716108,0.449711],"study_design_scores_gemma":[0.00002516258,0.0007868999,0.2576368,0.0001263049,0.0001544744,0.0002189842,0.0004175676,0.729792,0.006597671,0.002084051,0.002102394,0.00005772512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7991381,0.0009590995,0.1917053,0.0007782974,0.00008408393,0.0002909912,0.001502712,0.001532151,0.004009324],"genre_scores_gemma":[0.9643602,0.0002337976,0.03324489,0.00006156789,0.00003530324,0.00006911189,0.001057519,0.00001607322,0.0009214972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009909281,"threshold_uncertainty_score":0.01970321,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Rabiul Islam","is_ca":true},{"name":"Faisal Khan","is_ca":true},{"name":"Rouzbeh Abbassi","is_ca":false},{"name":"Vikram Garaniya","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03366805311214989,"gpt":0.3528215718978103,"spread":0.3191535187856604,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005757754,0.0007712705,0.0005335136,0.001518327,0.0004168277,0.002325709,0.0007518905,0.001158721,0.001169208],"category_scores_gemma":[0.03508773,0.000285577,0.0006292951,0.0006903338,0.0009473672,0.00367014,0.0009288887,0.0005880388,0.0002091125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005337035,"about_ca_system_score_gemma":0.001484686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004462248,"about_ca_topic_score_gemma":0.008534363,"domain_scores_codex":[0.9948207,0.002189379,0.0004063763,0.000322285,0.002016288,0.0002448964],"domain_scores_gemma":[0.9587848,0.02770212,0.006985222,0.0007394252,0.005164478,0.0006240361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001219885,0.0008002814,0.4505433,0.001890718,0.0006137778,0.0003891885,0.001206245,0.07893795,0.006029569,0.00381085,0.001718346,0.4528398],"study_design_scores_gemma":[0.00007623684,0.00197635,0.6828656,0.002601618,0.0007554448,0.0008271569,0.007423739,0.2614841,0.01712197,0.01825652,0.006333127,0.000278176],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8806677,0.0121713,0.09554937,0.00439189,0.0002947059,0.0001395153,0.0002464378,0.0001094379,0.006429757],"genre_scores_gemma":[0.985806,0.002489229,0.01068659,0.000139155,0.0002038578,0.0000323338,0.00007365973,0.00002280197,0.000546391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005757754,"threshold_uncertainty_score":0.03045022,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Enrico Ronchi","is_ca":false},{"name":"S. Gwynne","is_ca":true},{"name":"Guillermo Rein","is_ca":false},{"name":"Paolo Intini","is_ca":false},{"name":"Rahul Wadhwani","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0251394851176893,"gpt":0.3037752043840659,"spread":0.2786357192663766,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009058987,0.001025934,0.001325816,0.0009483258,0.001625889,0.002737823,0.003237165,0.003314355,0.004236642],"category_scores_gemma":[0.002019462,0.0009632357,0.002420774,0.0006650197,0.001461002,0.001745629,0.002789258,0.002168808,0.0004895512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340986,"about_ca_system_score_gemma":0.002645519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04296411,"about_ca_topic_score_gemma":0.03090303,"domain_scores_codex":[0.9996858,0.0000696166,0.00002225806,0.00006110629,0.00009831249,0.00006290691],"domain_scores_gemma":[0.9993086,0.0003083351,0.00006570007,0.00006946753,0.0001446432,0.0001032401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001085813,0.00003402671,0.0002416665,0.00001424759,0.00001999945,0.00003759193,0.00002220546,0.986641,0.0003340928,0.01088464,0.0002411623,0.001518575],"study_design_scores_gemma":[0.000005630028,0.000002845904,0.00004454864,0.000002151748,0.000004033443,0.000004868561,0.000004856221,0.9967235,0.00005590556,0.002572979,0.0005744626,0.000004231703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03520456,0.0003033264,0.9504089,0.0004194216,0.0002633237,0.0001258067,0.0006223841,0.001180599,0.01147175],"genre_scores_gemma":[0.7330547,0.0007055525,0.2508012,0.0003152115,0.000376815,0.0005831117,0.001081398,0.0007537339,0.01232827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04296411,"threshold_uncertainty_score":0.08542806,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Ziad Sawalha","is_ca":true},{"name":"Tarek Sayed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008210107266712653,"gpt":0.197421381490095,"spread":0.1892112742233823,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008151867,0.0009363351,0.001033438,0.001449467,0.0007022712,0.001629554,0.001795099,0.001487096,0.005974814],"category_scores_gemma":[0.05931355,0.0007325997,0.001494282,0.0009269013,0.001369987,0.004202182,0.003031676,0.00272479,0.0009497427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829838,"about_ca_system_score_gemma":0.001336212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006898479,"about_ca_topic_score_gemma":0.002220536,"domain_scores_codex":[0.996462,0.00171349,0.0001764639,0.0008159201,0.0005618046,0.0002702711],"domain_scores_gemma":[0.95307,0.03737963,0.001898457,0.005206092,0.002060311,0.0003854757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003699533,0.0001907376,0.006684017,0.0001109479,0.0002551743,0.0002226511,0.0002465176,0.8494953,0.001810282,0.07088213,0.00183045,0.06790184],"study_design_scores_gemma":[0.00001547665,0.0000317862,0.0009250731,0.00001009176,0.0000205,0.00001963341,0.00001507422,0.9353468,0.0004852086,0.06290055,0.0002226992,0.000007242125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1684796,0.0003355817,0.8198631,0.001331798,0.00008242319,0.0001308976,0.0007056968,0.001595744,0.007475161],"genre_scores_gemma":[0.9781235,0.0001875819,0.01759068,0.0001396516,0.00006757768,0.0001194187,0.0007331533,0.0001648613,0.002873643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008151867,"threshold_uncertainty_score":0.04311174,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Rui Fu","is_ca":true},{"name":"Yingshi Guo","is_ca":true},{"name":"Wei Yuan","is_ca":true},{"name":"Hongyun Feng","is_ca":true},{"name":"Yong Ma","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00604920840245513,"gpt":0.2267998652391168,"spread":0.2207506568366616,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077566,0.0001872235,0.0002417262,0.0008520202,0.0002870833,0.0009166346,0.0002624337,0.0003970109,0.003645502],"category_scores_gemma":[0.007756108,0.0003010196,0.0003571056,0.001012824,0.0005579267,0.0004663744,0.0004283164,0.0006710581,0.0006165689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002034405,"about_ca_system_score_gemma":0.0003076903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01294059,"about_ca_topic_score_gemma":0.01517712,"domain_scores_codex":[0.9994335,0.000215204,0.00006249523,0.0001409814,0.00006287365,0.00008482945],"domain_scores_gemma":[0.9896144,0.00562621,0.002290741,0.0009499477,0.0008414067,0.0006772677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001016018,0.0000146469,0.9971023,0.000006909804,0.00008008809,0.00002263068,0.00007001467,0.0004455246,0.0003563834,0.0002818756,0.0001397089,0.001378295],"study_design_scores_gemma":[0.000002350048,0.00002266009,0.9985173,0.000003198071,0.00002180025,0.00006356896,0.0001405492,0.0006841412,0.00007647775,0.0002653116,0.0001974462,0.000005213401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963365,0.0002348718,0.0007656574,0.0001657135,0.00001754182,0.000003264435,0.0004896774,0.00002161467,0.001965232],"genre_scores_gemma":[0.9990733,0.00008054257,0.0001179976,0.00001761203,0.00001352787,0.000001821273,0.000259345,0.000006141293,0.0004297247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01294059,"threshold_uncertainty_score":0.02573055,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Cuiping Li","is_ca":false},{"name":"Jiexuan Qin","is_ca":false},{"name":"Jiajie Li","is_ca":true},{"name":"Qian Hou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04117457047205211,"gpt":0.3908463748538496,"spread":0.3496718043817975,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000848126,0.0006262622,0.0008781223,0.000863238,0.0004715981,0.000761713,0.0008790457,0.0009392814,0.001430881],"category_scores_gemma":[0.001816753,0.000293069,0.0005391835,0.0006356924,0.0002175834,0.001195107,0.0007881311,0.0005987612,0.0002648906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006389825,"about_ca_system_score_gemma":0.001199804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01130064,"about_ca_topic_score_gemma":0.008858803,"domain_scores_codex":[0.9995725,0.00006843418,0.00003153926,0.0001098359,0.000156447,0.0000612298],"domain_scores_gemma":[0.9995267,0.0001091362,0.00006186735,0.00002471071,0.0002397214,0.0000378224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006299929,0.000223692,0.01631405,0.0003256941,0.0001523111,0.0003146949,0.0002360602,0.646419,0.01603745,0.005528084,0.006392847,0.3074261],"study_design_scores_gemma":[0.00001604962,0.00005189704,0.002501429,0.000005775424,0.00003635093,0.0000295347,0.00002026341,0.9941903,0.001127861,0.001683166,0.0003222316,0.00001510166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1945681,0.0003975958,0.800031,0.000473027,0.0001379383,0.0001386853,0.0003417896,0.0010748,0.002836987],"genre_scores_gemma":[0.9446072,0.0001742333,0.05202852,0.00005207931,0.00004594051,0.00009278574,0.0003587275,0.00002222527,0.002618285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01130064,"threshold_uncertainty_score":0.02246976,"prediction_status":"machine_predicted_unvalidated"},"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 & 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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Fereshteh Sattari","is_ca":true},{"name":"Renato Macciotta","is_ca":true},{"name":"Daniel Kurian","is_ca":true},{"name":"Lianne Lefsrud","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08699401901798096,"gpt":0.3838259639997584,"spread":0.2968319449817775,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003002053,0.0003835394,0.000568136,0.001990544,0.0005412115,0.0009898744,0.0006536361,0.0008517948,0.001668141],"category_scores_gemma":[0.01087666,0.0003123918,0.0005181108,0.0009864446,0.0002277543,0.000888341,0.0004234661,0.0006072263,0.0001388849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470506,"about_ca_system_score_gemma":0.001824068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03112371,"about_ca_topic_score_gemma":0.03088512,"domain_scores_codex":[0.9987888,0.0006644302,0.00006758515,0.0001306647,0.0002661422,0.00008242132],"domain_scores_gemma":[0.9950204,0.003555634,0.0004208209,0.00008758407,0.0008289937,0.0000865523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005917439,0.0009979877,0.03261216,0.0001927224,0.0002772303,0.00009367088,0.0001226512,0.8098814,0.0008647931,0.006060486,0.002524087,0.145781],"study_design_scores_gemma":[0.00002519801,0.00009322468,0.005655434,0.00001655616,0.00006254161,0.00001101637,0.0000523478,0.9906027,0.0003712606,0.002608852,0.0004902966,0.00001063335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6894434,0.001274051,0.2930616,0.002305242,0.000192951,0.0002203911,0.0005122173,0.0006511424,0.01233897],"genre_scores_gemma":[0.9696834,0.0002999966,0.02829287,0.00007049693,0.00003094131,0.00004838916,0.0001891997,0.00001298612,0.001371636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03112371,"threshold_uncertainty_score":0.06188506,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"S. Gwynne","is_ca":false},{"name":"Martyn Amos","is_ca":false},{"name":"Max Kinateder","is_ca":true},{"name":"Noureddine Bénichou","is_ca":true},{"name":"Karen Boyce","is_ca":false},{"name":"C. Natalie van der Wal","is_ca":false},{"name":"Enrico Ronchi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006293768551934538,"gpt":0.2262855857789721,"spread":0.2199918172270376,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006854248,0.0006814155,0.000352463,0.0008042541,0.0007657019,0.003299904,0.0006862829,0.001115987,0.00283762],"category_scores_gemma":[0.01935802,0.0002264719,0.0002446642,0.0004567892,0.0006666518,0.004181795,0.001142568,0.0008093123,0.0005731111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124599,"about_ca_system_score_gemma":0.004065986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005508592,"about_ca_topic_score_gemma":0.01390512,"domain_scores_codex":[0.997271,0.001623408,0.00009776162,0.0001779413,0.0006382067,0.0001916875],"domain_scores_gemma":[0.9910034,0.003633046,0.001279883,0.0002631388,0.003029609,0.0007909244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001744772,0.001377787,0.2994605,0.00141276,0.0002428056,0.00009434736,0.003283816,0.01830624,0.003628936,0.01217879,0.01166271,0.6466066],"study_design_scores_gemma":[0.0002350266,0.007642077,0.6969562,0.003753623,0.0005751064,0.0004915096,0.02961528,0.1259295,0.01073513,0.04737251,0.07637848,0.0003156394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8692874,0.01129218,0.03382172,0.03248401,0.0006218989,0.0003219461,0.001131244,0.0005633132,0.05047637],"genre_scores_gemma":[0.9812119,0.002366841,0.01448366,0.0003015697,0.00007821753,0.00007582101,0.0001263917,0.00001736294,0.00133808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006854248,"threshold_uncertainty_score":0.03624916,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Mary L. Chipman","is_ca":true},{"name":"Yue Lena Jin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007704428985766489,"gpt":0.2790797480231739,"spread":0.2713753190374074,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002745175,0.0001940986,0.0001940673,0.0003457108,0.0002525055,0.0005107565,0.0001510006,0.0002762593,0.002175074],"category_scores_gemma":[0.001903094,0.0001719594,0.0002432753,0.0002012901,0.0002218003,0.0002336403,0.0002561588,0.0003693515,0.0001566048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002307341,"about_ca_system_score_gemma":0.0003201215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004743471,"about_ca_topic_score_gemma":0.008964499,"domain_scores_codex":[0.9999015,0.00003176672,0.000007610189,0.00001993855,0.00001617154,0.00002290339],"domain_scores_gemma":[0.9986262,0.0005898851,0.000355428,0.00008274449,0.0001076369,0.0002381027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0179639,0.001382785,0.891057,0.0001308745,0.0004867017,0.000381175,0.0007597494,0.0006048233,0.05803213,0.0001516155,0.0007042526,0.02834513],"study_design_scores_gemma":[0.00002108247,0.0003658093,0.9985832,0.000003770169,0.00003855616,0.00006845858,0.0001110551,0.0002073025,0.0003971544,0.00003482953,0.0001649827,0.000003877868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999057,0.0002885862,0.00006241322,0.00005623973,0.00001049087,0.000006048485,0.0000808114,0.000002374112,0.0004359726],"genre_scores_gemma":[0.9991035,0.0001922229,0.00007785797,0.00004776641,0.00002305524,0.000006648899,0.0001209507,0.000004673964,0.0004232988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004743471,"threshold_uncertainty_score":0.00943172,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Esther Walker","is_ca":false},{"name":"Sophie N. Lanthier","is_ca":true},{"name":"Evan F. Risko","is_ca":false},{"name":"Alan Kingstone","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04034845904654366,"gpt":0.3369051362439726,"spread":0.2965566771974289,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003605034,0.000362575,0.000199017,0.0004149333,0.000378373,0.0007581721,0.0001884157,0.000575504,0.006023861],"category_scores_gemma":[0.006430816,0.0002040436,0.0003174912,0.0002451536,0.0003983862,0.0002744986,0.0004736906,0.0004426495,0.0005898021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002259397,"about_ca_system_score_gemma":0.0001763543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002011326,"about_ca_topic_score_gemma":0.003543562,"domain_scores_codex":[0.9996849,0.000133621,0.00001797468,0.00004157049,0.00006347993,0.00005838299],"domain_scores_gemma":[0.9942154,0.004176124,0.0005242387,0.0002112536,0.0003382365,0.0005347357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.06042143,0.007604071,0.5539833,0.001153097,0.001044952,0.0008938615,0.008071717,0.003110986,0.2266228,0.0007564391,0.001339257,0.1349981],"study_design_scores_gemma":[0.0001111268,0.003850573,0.9906426,0.00002341208,0.0001767436,0.0001504088,0.0009492796,0.0005837841,0.002692868,0.0002144554,0.0005815286,0.00002337231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978434,0.00008340051,0.0001102615,0.0000254881,0.000009664472,0.000006408968,0.00004411906,0.000006816744,0.001870409],"genre_scores_gemma":[0.9987102,0.0001013492,0.0002070261,0.0000323601,0.00001289798,0.000008299474,0.00004955094,0.00000848256,0.0008699878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006023861,"threshold_uncertainty_score":0.02015179,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Ping Huang","is_ca":true},{"name":"Chao Wen","is_ca":false},{"name":"Liping Fu","is_ca":false},{"name":"Qiyuan Peng","is_ca":false},{"name":"Zhongcan Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005028233187755179,"gpt":0.1967299021950694,"spread":0.1917016690073143,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003504805,0.000530937,0.000690227,0.0003835745,0.0003114197,0.000683237,0.0007861036,0.0006428807,0.001575917],"category_scores_gemma":[0.0005837167,0.0002674826,0.0006069269,0.0003748065,0.0001392223,0.0005630723,0.0004008427,0.0005506914,0.0003102639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003154095,"about_ca_system_score_gemma":0.0006952924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01931855,"about_ca_topic_score_gemma":0.01507214,"domain_scores_codex":[0.9998573,0.00001961354,0.000009375198,0.00005005351,0.00003149624,0.00003217693],"domain_scores_gemma":[0.999757,0.00008750257,0.00002119856,0.00001712863,0.00009635651,0.00002088904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002191591,0.0002102046,0.003561244,0.00004595345,0.000102429,0.00006160838,0.00002881766,0.9331191,0.004464714,0.0005237855,0.0010917,0.05657128],"study_design_scores_gemma":[0.000004076427,0.00001972686,0.0003983454,9.127908e-7,0.00001075449,0.000002783256,0.000002233608,0.9991861,0.0002337826,0.00006296302,0.00007578763,0.000002390874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4947931,0.0007229776,0.4954027,0.0003910602,0.0004100426,0.00006004224,0.0004932176,0.001816794,0.005910058],"genre_scores_gemma":[0.9866368,0.00008993321,0.01044549,0.00004389449,0.00003858562,0.00002971078,0.0002632863,0.00002990619,0.002422417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01931855,"threshold_uncertainty_score":0.03841221,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Kongxing Huang","is_ca":true},{"name":"Guohua Chen","is_ca":false},{"name":"Yunfeng Yang","is_ca":false},{"name":"Peizhu Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2436872708348569,"gpt":0.480695006730455,"spread":0.2370077358955981,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001943856,0.0007090914,0.000529254,0.002403885,0.0004073545,0.001458884,0.0008878054,0.0006206485,0.00209671],"category_scores_gemma":[0.004041754,0.000266622,0.0009532283,0.001160757,0.0004175478,0.0009232202,0.0009867013,0.0006896563,0.0002353166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000650085,"about_ca_system_score_gemma":0.001185403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00403802,"about_ca_topic_score_gemma":0.003788735,"domain_scores_codex":[0.9990447,0.0003043526,0.00007762985,0.0001915291,0.000294886,0.00008682201],"domain_scores_gemma":[0.9979675,0.001071362,0.0002443767,0.0001090329,0.0005405758,0.00006714901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002559421,0.0004336646,0.02395925,0.0004570623,0.0004181894,0.0003137707,0.0004041063,0.5342658,0.03531887,0.06280201,0.002826782,0.3385445],"study_design_scores_gemma":[0.00001214992,0.00008195077,0.003975669,0.00001376149,0.0000379482,0.0000383118,0.0001191648,0.9788069,0.003091818,0.01243758,0.001364577,0.00002013531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0391458,0.00006665457,0.9584503,0.000124903,0.00003056757,0.00009733884,0.0003138013,0.0002107087,0.001559927],"genre_scores_gemma":[0.6487753,0.000123516,0.3477157,0.00007587062,0.00008546063,0.000278,0.0006119545,0.00007672105,0.002257478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00403802,"threshold_uncertainty_score":0.01028019,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"M Gervais","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06201380950893823,"gpt":0.4415890539032944,"spread":0.3795752443943562,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00999392,0.0003673689,0.0004069178,0.002118756,0.004505329,0.002485608,0.001560742,0.003642595,0.002604936],"category_scores_gemma":[0.04550662,0.0003389599,0.000363312,0.0009215648,0.003214473,0.001771494,0.002685951,0.002967365,0.000416018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00309264,"about_ca_system_score_gemma":0.0173489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007063457,"about_ca_topic_score_gemma":0.0173766,"domain_scores_codex":[0.9881606,0.007052565,0.0005246617,0.000467052,0.002637011,0.001158133],"domain_scores_gemma":[0.9654254,0.01277684,0.006575991,0.002424255,0.005905228,0.00689227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004689161,0.01070249,0.3044232,0.002431161,0.0001326431,0.001341086,0.02366052,0.001788105,0.004505875,0.01197189,0.04313968,0.5954344],"study_design_scores_gemma":[0.0004366521,0.004129491,0.8496285,0.004069345,0.0001913015,0.002403713,0.04837586,0.002822592,0.002723257,0.03221456,0.05283323,0.0001714546],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7327248,0.01074703,0.008702035,0.2133776,0.001510198,0.0005872014,0.00009505902,0.0002537052,0.03200218],"genre_scores_gemma":[0.9787947,0.003146012,0.01039913,0.004656795,0.0003616375,0.0002288139,0.00004539055,0.00002052953,0.002347058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00999392,"threshold_uncertainty_score":0.05285358,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Chaoping Hou","is_ca":false},{"name":"Haorui Wu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01830131966519646,"gpt":0.2799891592240471,"spread":0.2616878395588507,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001407037,0.0003220249,0.0002904797,0.001037757,0.005068511,0.002192319,0.001048675,0.0006426218,0.002953514],"category_scores_gemma":[0.00201765,0.0002536988,0.0002044303,0.001390644,0.002793404,0.00129102,0.003032801,0.001227467,0.0001457324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003596619,"about_ca_system_score_gemma":0.01012574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1252423,"about_ca_topic_score_gemma":0.2922423,"domain_scores_codex":[0.9985544,0.0003215187,0.00003943162,0.0001132925,0.0001046953,0.0008666233],"domain_scores_gemma":[0.9984516,0.0002727089,0.0002529152,0.00002998198,0.0001528786,0.0008399953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001666374,0.0001294682,0.4863165,0.0001207356,0.00005446176,0.00102724,0.4865932,0.0000809781,0.0006540917,0.002175657,0.002708725,0.01997229],"study_design_scores_gemma":[0.000006257854,0.00004563763,0.2504537,0.00005979369,0.00001460537,0.0000809362,0.7463763,0.00007190814,0.00006771326,0.0002063463,0.002605176,0.0000115265],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974087,0.0001657153,0.00002986592,0.001239721,0.00001849333,0.000007582454,0.00002518765,0.000001391983,0.001103248],"genre_scores_gemma":[0.9991161,0.00009372176,0.00001671797,0.0001409576,0.000005579784,0.000008210697,0.00001852887,0.000001066334,0.0005991398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1252423,"threshold_uncertainty_score":0.2490265,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Robert L. Wears","is_ca":false},{"name":"Garth Hunte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05171033592649785,"gpt":0.4282184043618577,"spread":0.3765080684353598,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01936352,0.0004758089,0.0006199175,0.00218036,0.01073035,0.01762178,0.001161435,0.01291837,0.01317975],"category_scores_gemma":[0.0378118,0.0005698873,0.001002424,0.001391451,0.03302028,0.01815915,0.00691,0.02845474,0.002738508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008134332,"about_ca_system_score_gemma":0.01827738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006761834,"about_ca_topic_score_gemma":0.0130555,"domain_scores_codex":[0.9837546,0.008882785,0.0006196201,0.001291315,0.003919469,0.001532207],"domain_scores_gemma":[0.9650917,0.01247808,0.002987121,0.00300581,0.008769101,0.007668174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007013798,0.0002099779,0.003335129,0.0004002433,0.00006325474,0.0002190361,0.01871308,0.000215748,0.0007817085,0.4705377,0.4067879,0.0986661],"study_design_scores_gemma":[0.00004967444,0.0002353122,0.003468152,0.001252925,0.00004720286,0.0006456646,0.0196456,0.0003599691,0.0004311047,0.4497055,0.5240327,0.0001262658],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003884493,0.004648303,0.003776079,0.9006239,0.01422133,0.00001782039,0.00003141581,0.0001310047,0.07266577],"genre_scores_gemma":[0.3058037,0.007913847,0.008385196,0.6275996,0.01736122,0.00007996709,0.00008388179,0.0001931303,0.03257956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01936352,"threshold_uncertainty_score":0.1024053,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Caroline Morais","is_ca":false},{"name":"Ka Lai Yung","is_ca":true},{"name":"Karl Johnson","is_ca":false},{"name":"Raphael Moura","is_ca":false},{"name":"Michael Beer","is_ca":false},{"name":"Edoardo Patelli","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08914070152563656,"gpt":0.4599645810235378,"spread":0.3708238794979012,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003081011,0.001591093,0.001569439,0.004631454,0.0009143745,0.002071494,0.001548836,0.001493461,0.002408999],"category_scores_gemma":[0.01304513,0.0004525246,0.001618739,0.001941316,0.000707698,0.001674736,0.0009367143,0.001611619,0.0007424881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005762829,"about_ca_system_score_gemma":0.001766302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01025189,"about_ca_topic_score_gemma":0.008304615,"domain_scores_codex":[0.9982363,0.000551236,0.0001982032,0.0005281905,0.0003372739,0.0001487639],"domain_scores_gemma":[0.9876791,0.009513687,0.0009873393,0.0005519511,0.001077496,0.0001904665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008498532,0.002133537,0.2795688,0.000407381,0.001017793,0.0005757797,0.0006639019,0.1564915,0.005938898,0.004230754,0.002510919,0.5456109],"study_design_scores_gemma":[0.00003805954,0.0002900457,0.0586961,0.0000915519,0.0002558536,0.0002556029,0.0003586659,0.9272126,0.002408367,0.009503809,0.0008178404,0.0000715045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2274186,0.00122289,0.7649794,0.0006948559,0.0001123059,0.0004109502,0.0008811549,0.0009983873,0.003281493],"genre_scores_gemma":[0.861993,0.0004974079,0.1341687,0.0001029459,0.0001092491,0.0001647944,0.0007519744,0.00005356386,0.00215845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01025189,"threshold_uncertainty_score":0.02038443,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Jane O’Hara","is_ca":false},{"name":"Carolyn Canfield","is_ca":true},{"name":"Karina Aase","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1780546700470901,"gpt":0.4752962685102667,"spread":0.2972415984631766,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.4469393,0.0007600536,0.002547955,0.005842129,0.01765763,0.01805164,0.005954726,0.0100566,0.007710609],"category_scores_gemma":[0.4599068,0.001355154,0.001222981,0.004174119,0.1089152,0.03500343,0.02166879,0.01605123,0.0004856946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009290308,"about_ca_system_score_gemma":0.02116306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004779834,"about_ca_topic_score_gemma":0.00758099,"domain_scores_codex":[0.633663,0.3349811,0.00792715,0.006393585,0.01225214,0.004783104],"domain_scores_gemma":[0.4349167,0.5098134,0.01701152,0.01389275,0.01406078,0.01030489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000353811,0.0002938698,0.01307278,0.00194475,0.0003518449,0.0005815627,0.5692083,0.0001512911,0.0001851905,0.3693591,0.01101725,0.03348016],"study_design_scores_gemma":[0.0003363365,0.0002903513,0.01071579,0.008566057,0.000180767,0.0009236637,0.5641362,0.0003718997,0.0003378757,0.3673594,0.04661832,0.0001634366],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1255507,0.03465708,0.01716437,0.7560831,0.007788771,0.0005434296,0.0003118451,0.00003902663,0.0578618],"genre_scores_gemma":[0.8994817,0.00633142,0.007129858,0.08093096,0.003067738,0.001374761,0.00009506309,0.00008649346,0.001502035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4469393,"threshold_uncertainty_score":0.6820223,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Azizul Azhar Ramli","is_ca":false},{"name":"Junzo Watada","is_ca":false},{"name":"Witold Pedrycz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2469128877088869,"gpt":0.4607089107667947,"spread":0.2137960230579078,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01763014,0.001727524,0.002086576,0.00509285,0.001465555,0.00306052,0.002739721,0.001582909,0.004472433],"category_scores_gemma":[0.06150185,0.001311191,0.003461954,0.002306212,0.001410455,0.002733846,0.001766487,0.001903528,0.0004068129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002259965,"about_ca_system_score_gemma":0.002556951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007973265,"about_ca_topic_score_gemma":0.005109531,"domain_scores_codex":[0.989641,0.007146415,0.0003880952,0.0008280955,0.00149109,0.0005052928],"domain_scores_gemma":[0.9344621,0.05943682,0.001743807,0.0008261936,0.002937632,0.000593464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005106693,0.000215627,0.005116028,0.0003072896,0.0004598367,0.0001983417,0.0002174459,0.9357515,0.001351422,0.03057787,0.0004103907,0.02488367],"study_design_scores_gemma":[0.000009591652,0.00006024792,0.0005804348,0.00001113816,0.00004828101,0.00001667933,0.00002402818,0.9924816,0.0002301584,0.006443079,0.00007987058,0.00001494058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1548698,0.000358012,0.8414785,0.0003152853,0.0000382687,0.0002315855,0.0001830162,0.0001965842,0.002328976],"genre_scores_gemma":[0.9246314,0.000193933,0.07341631,0.00003006943,0.00002774917,0.0002591202,0.0001972906,0.00004793864,0.001196162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01763014,"threshold_uncertainty_score":0.09323823,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Desai Shan","is_ca":true},{"name":"Barbara Neis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009423553655536406,"gpt":0.2222289309707907,"spread":0.2128053773152543,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001843254,0.0002939462,0.0002990966,0.0008532188,0.0165192,0.003057862,0.001227676,0.001440018,0.003586328],"category_scores_gemma":[0.003537888,0.0003158145,0.0003961084,0.001551867,0.005746837,0.001129306,0.003811663,0.002910387,0.0003019103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0202532,"about_ca_system_score_gemma":0.03383425,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9558924,"about_ca_topic_score_gemma":0.9854865,"domain_scores_codex":[0.9981564,0.0003038753,0.00004334765,0.00007371771,0.000369913,0.001052823],"domain_scores_gemma":[0.9964504,0.0003337415,0.0002186062,0.00007819721,0.001096646,0.001822376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001570682,0.0003467386,0.2149486,0.0001723286,0.0000507185,0.002500728,0.7003835,0.0003317721,0.0005838714,0.001353515,0.03015094,0.04902006],"study_design_scores_gemma":[0.00001146377,0.0001049449,0.1462586,0.0001567417,0.00001560938,0.0004382578,0.8195325,0.00006820069,0.0001016845,0.000152149,0.0331144,0.00004549775],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735529,0.0007251117,0.00007513296,0.007418109,0.0001447574,0.00003903989,0.0001812747,0.000008210895,0.01785555],"genre_scores_gemma":[0.9905731,0.0009822579,0.00007889594,0.001351696,0.00002546312,0.00002070007,0.00009990468,0.000009987091,0.006857966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04410756,"threshold_uncertainty_score":0.1469479,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Denis Harrisson","is_ca":true},{"name":"Camille Legendre","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1716185338388293,"gpt":0.4557035683431273,"spread":0.284085034504298,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002505754,0.0002973149,0.0002409648,0.002117958,0.00182623,0.003443572,0.0005713669,0.003276703,0.007506658],"category_scores_gemma":[0.00594826,0.0001857006,0.0002846126,0.002049491,0.004481534,0.002174819,0.00107976,0.001335242,0.0003489634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002073929,"about_ca_system_score_gemma":0.002968391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006971704,"about_ca_topic_score_gemma":0.01114991,"domain_scores_codex":[0.9982765,0.0009463896,0.00005482407,0.0001199118,0.0002916819,0.000310673],"domain_scores_gemma":[0.991708,0.0059662,0.001166629,0.0001656209,0.0003822946,0.0006112109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000777402,0.004783174,0.1573759,0.001505166,0.0002092177,0.001142658,0.02299329,0.0043538,0.001494651,0.4777317,0.01018016,0.317453],"study_design_scores_gemma":[0.0003692729,0.001732279,0.428358,0.001380784,0.0003423907,0.001257837,0.03951383,0.005250929,0.001160492,0.4406847,0.07985044,0.00009902779],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6993809,0.08287162,0.005764433,0.05538922,0.001001072,0.0001241449,0.000112484,0.00004316435,0.1553129],"genre_scores_gemma":[0.9790247,0.01373313,0.0009321906,0.0008927727,0.0004010245,0.0000392562,0.0000240919,0.000003852385,0.004948937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007506658,"threshold_uncertainty_score":0.02511233,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Matthew Ray","is_ca":true},{"name":"Michael King","is_ca":true},{"name":"Heather Carnahan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08992925323565207,"gpt":0.3821489469319346,"spread":0.2922196936962825,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001742215,0.001303983,0.003938388,0.004936575,0.0003461843,0.002020816,0.001552028,0.001969463,0.005560164],"category_scores_gemma":[0.003869575,0.0006158489,0.002023738,0.005815875,0.0006973628,0.001773,0.001272139,0.001696456,0.00103673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023568,"about_ca_system_score_gemma":0.003684121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004655967,"about_ca_topic_score_gemma":0.01120166,"domain_scores_codex":[0.9990931,0.0001700325,0.000296653,0.0001748693,0.0002194432,0.00004602193],"domain_scores_gemma":[0.997647,0.00151151,0.0004075959,0.00003363423,0.0003273111,0.00007296706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002810509,0.00008473336,0.0004430036,0.3728642,0.001691495,0.0001516511,0.0001377945,0.0002562195,0.0006523547,0.001319452,0.02984079,0.5922772],"study_design_scores_gemma":[0.0001879132,0.0003932999,0.005651883,0.1691876,0.006910615,0.001070449,0.0003294043,0.0001252727,0.000272208,0.001560635,0.8142081,0.0001025953],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003075947,0.9996971,0.00001394864,0.00007606366,0.00008289019,0.000002536575,0.00002136103,0.000001002563,0.00007441646],"genre_scores_gemma":[0.000225896,0.9993935,0.00004548634,0.0001620101,0.0001030611,0.000003683341,0.00001622657,3.860187e-7,0.00004979225],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005560164,"threshold_uncertainty_score":0.01860058,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Stefano M. Iacus","is_ca":false},{"name":"Fabrizio Natale","is_ca":false},{"name":"Carlos Satamaria","is_ca":false},{"name":"Spyridon Spyratos","is_ca":false},{"name":"Michele Vespe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08305098713759079,"gpt":0.325390530530098,"spread":0.2423395433925072,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004279503,0.0008917633,0.0003198241,0.001202392,0.0002888209,0.0009653143,0.0004545329,0.001162777,0.0009706957],"category_scores_gemma":[0.001032983,0.0003887817,0.0008420344,0.0008191757,0.0002199618,0.0008280405,0.0005913433,0.000639044,0.0002474958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007819903,"about_ca_system_score_gemma":0.0009601826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07917608,"about_ca_topic_score_gemma":0.0370677,"domain_scores_codex":[0.999841,0.00004021356,0.00001031466,0.00003913047,0.00001796717,0.00005134047],"domain_scores_gemma":[0.9997664,0.00008302854,0.00004079334,0.00001589051,0.00004429819,0.00004954916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001037568,0.0001627552,0.1171251,0.00006125675,0.00008668999,0.0003763295,0.0001093626,0.8720202,0.001045573,0.0006575671,0.0008103597,0.007441021],"study_design_scores_gemma":[0.000007888741,0.00007630423,0.04102227,0.00001506199,0.00002414641,0.00003108048,0.0004206703,0.9574056,0.0003030096,0.0002806459,0.0003941676,0.00001916738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940364,0.0001002629,0.002590865,0.0001413615,0.00001801051,0.00002973597,0.001924717,0.00007341813,0.001085044],"genre_scores_gemma":[0.9922444,0.0002172784,0.003639572,0.00001214049,0.00001291782,0.00002680285,0.003374193,0.000007776098,0.000464838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07917608,"threshold_uncertainty_score":0.1574304,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Mona Ahmadi Rad","is_ca":true},{"name":"Lianne Lefsrud","is_ca":true},{"name":"Michael T. Hendry","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3293561778404085,"gpt":0.6505822134563347,"spread":0.3212260356159262,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003700303,0.001235176,0.003262927,0.007256626,0.0004078724,0.002215496,0.001519263,0.001746853,0.004294284],"category_scores_gemma":[0.007953743,0.000533437,0.002430716,0.007094127,0.0008289033,0.001902169,0.001127751,0.001622239,0.000782121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001378852,"about_ca_system_score_gemma":0.005031282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005720656,"about_ca_topic_score_gemma":0.01244473,"domain_scores_codex":[0.9987844,0.0003392799,0.0003130903,0.0001776497,0.0003399129,0.00004561769],"domain_scores_gemma":[0.9898756,0.008282197,0.0006530095,0.0001262363,0.0009452175,0.0001176643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00007556922,0.00006320408,0.0002505416,0.2122441,0.0006689475,0.00008290535,0.0001532281,0.0003456847,0.0003992972,0.002239371,0.01020555,0.7732717],"study_design_scores_gemma":[0.0001009967,0.0003558534,0.004199773,0.2514024,0.004937796,0.000926908,0.0003867951,0.0003853186,0.0005892511,0.004730868,0.7318736,0.0001104284],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004054271,0.9995652,0.0001052275,0.00009083609,0.00004538326,0.000007192935,0.00001920001,0.000002478932,0.0001239793],"genre_scores_gemma":[0.0004643339,0.9988363,0.0004395625,0.0001190165,0.00004298535,0.00001031216,0.0000206339,0.000001415222,0.0000653754],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007256626,"threshold_uncertainty_score":0.01956928,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}