{"id":"W3205915011","doi":"10.1016/j.ssci.2021.105500","title":"Capsizing accident scenario model for small fishing trawler","year":2021,"lang":"en","type":"article","venue":"Safety Science","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Fishing; Scale (ratio); Commercial fishing; Bayesian network; Fishing industry; Poison control; Engineering; Transport engineering; Marine engineering; Computer science; Fishery; Geography; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004807308,0.0008989863,0.0006136245,0.0008824815,0.0005942494,0.001041498,0.002155032,0.00198369,0.01495463],"category_scores_gemma":[0.001012105,0.0003546268,0.001017676,0.0008143123,0.0004182411,0.0008658745,0.000804379,0.001155426,0.001164134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001354938,"about_ca_system_score_gemma":0.001419234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0633278,"about_ca_topic_score_gemma":0.03512163,"domain_scores_codex":[0.9996191,0.00009563744,0.00001402708,0.00008277369,0.00005924393,0.0001291017],"domain_scores_gemma":[0.999426,0.0001906738,0.00006670429,0.00004006819,0.0001820542,0.00009456708],"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":[0.0001379023,0.00004313913,0.001188744,0.00004550668,0.00002046118,0.0003874335,0.00004266103,0.9864426,0.0004097768,0.005964094,0.002858174,0.002459437],"study_design_scores_gemma":[0.00001783959,0.00004322613,0.0006219592,0.000009282069,0.00002182536,0.00006655264,0.0000637249,0.9952765,0.0001631054,0.002562572,0.001141348,0.00001207647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6613823,0.001297891,0.1723247,0.00331512,0.0006346956,0.0005837365,0.01893525,0.001613852,0.1399126],"genre_scores_gemma":[0.9685104,0.0003663488,0.006356387,0.00008960836,0.00003738686,0.0001824912,0.002898107,0.00005857356,0.02150065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0633278,"threshold_uncertainty_score":0.1259184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02623137474248606,"score_gpt":0.2443739742653611,"score_spread":0.2181425995228751,"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."}}