{"id":"W2157545271","doi":"10.5603/imh.2014.0011","title":"A review of fatal accident incidence rate trends in fishing","year":2014,"lang":"en","type":"review","venue":"International Maritime Health","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Occupational safety and health; Incidence (geometry); Injury prevention; Poison control; Environmental health; Geography; Suicide prevention; Medicine; Demography; Forensic engineering; Medical emergency; Fishery; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001654032,0.0003223626,0.001550041,0.0005350182,0.00002308596,0.00003276441,0.0005806104,0.0001412161,0.001473703],"category_scores_gemma":[0.0001954822,0.0003287265,0.0003379429,0.0004766699,0.00002496328,0.000164311,0.0001163408,0.0006078018,0.00008828627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000607644,"about_ca_system_score_gemma":0.0001880252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003273659,"about_ca_topic_score_gemma":0.000210971,"domain_scores_codex":[0.9970126,0.0003228254,0.001727684,0.0003010326,0.0003553893,0.0002805254],"domain_scores_gemma":[0.9987912,0.0002732114,0.0004185151,0.000298051,0.00009338638,0.000125687],"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":[0.000001611514,0.00001574316,0.00001021863,0.07343552,0.00003834426,0.000007253563,0.00001076233,0.00001327918,2.246892e-8,0.0003745141,0.01328738,0.9128054],"study_design_scores_gemma":[0.0001308079,0.00001915816,0.0001155327,0.165635,0.00002123793,0.00003280005,8.235372e-7,0.0008627202,1.337874e-7,0.00003190958,0.832954,0.0001958088],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[5.333406e-7,0.9894744,0.0003732113,0.000721524,0.000644883,0.0003397875,0.0001549297,0.00008476949,0.008206028],"genre_scores_gemma":[0.0000568313,0.9965842,0.0003679927,0.00101493,0.0001647558,0.00008890891,0.00135558,0.00005093615,0.0003158346],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9126095,"threshold_uncertainty_score":0.9999165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03296594201033815,"score_gpt":0.3691008346527335,"score_spread":0.3361348926423953,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}