{"id":"W3139567227","doi":"10.1016/j.aquaculture.2021.736680","title":"Occupational safety and health in marine aquaculture in Atlantic Canada: What can be learned from an analysis of provincial occupational injury compensation claims data?","year":2021,"lang":"en","type":"article","venue":"Aquaculture","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Canada First Research Excellence Fund","keywords":"Aquaculture; Fishery; Case fatality rate; Occupational safety and health; Descriptive statistics; Environmental health; Socioeconomics; Biology; Medicine; Fish <Actinopterygii>; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001342539,0.0002465048,0.0007954226,0.0003111335,0.0004556347,0.0000317674,0.0003223551,0.0003315062,0.0007357988],"category_scores_gemma":[0.000377861,0.0002192507,0.0000499169,0.001676627,0.00006850447,0.0006192051,0.0003039488,0.001021462,0.000003368748],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001091471,"about_ca_system_score_gemma":0.01194909,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8399041,"about_ca_topic_score_gemma":0.9964566,"domain_scores_codex":[0.9951615,0.001274979,0.001297498,0.0007711184,0.0008955166,0.0005994198],"domain_scores_gemma":[0.9974564,0.0006235222,0.0004368167,0.0005727023,0.0005583503,0.0003522013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001492455,0.0001809371,0.985046,0.0001571092,0.0001088944,0.00001379391,0.002422042,0.0002808164,0.0000443962,0.001793781,0.001743481,0.006716261],"study_design_scores_gemma":[0.001329199,0.000063764,0.9818048,0.0001566579,0.00005221996,9.483932e-7,0.003383423,0.008011379,0.00000469331,0.0001776721,0.004822293,0.000192948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662684,0.000279883,0.00003727665,0.02475683,0.0002150712,0.001040855,0.007266872,0.00001872842,0.0001161091],"genre_scores_gemma":[0.8774734,0.0008453968,0.0007515598,0.00502681,0.0001927899,0.00004519026,0.1154775,0.00001783202,0.0001695559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1565525,"threshold_uncertainty_score":0.9936522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1096614507977965,"score_gpt":0.4455457337302683,"score_spread":0.3358842829324719,"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."}}