{"id":"W4395683039","doi":"10.18280/ijsse.140217","title":"Fishing Vessel Safety in Indonesia: A Study of Accident Characteristics and Prevention Strategies","year":2024,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Brawijaya","keywords":"Fishing; Occupational safety and health; Injury prevention; Poison control; Accident (philosophy); Forensic engineering; Business; Suicide prevention; Transport engineering; Environmental health; Medical emergency; Engineering; Risk analysis (engineering); Medicine; Fishery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000398396,0.0001067156,0.0002152006,0.000265686,0.00001410858,0.0001010944,0.0001056361,0.0000571308,0.00001399934],"category_scores_gemma":[0.000031695,0.0001088621,0.00003792885,0.0001116015,0.00001130469,0.0005356594,0.00003780079,0.0003249836,2.335949e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006657386,"about_ca_system_score_gemma":0.00002611432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001494382,"about_ca_topic_score_gemma":0.00002433796,"domain_scores_codex":[0.9989745,0.0000201269,0.0006007666,0.00008283355,0.0002361546,0.00008561194],"domain_scores_gemma":[0.9996572,0.0001068166,0.00006456194,0.00004168885,0.00008395242,0.00004579573],"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":[0.00189808,0.00119576,0.1321217,0.004069,0.003713452,0.002351575,0.09875628,0.4481422,0.01187842,0.03904928,0.0001938894,0.2566303],"study_design_scores_gemma":[0.002222517,0.000242283,0.7145606,0.001870235,0.00006787288,0.0003454703,0.003517202,0.2730663,0.0002107661,0.001120548,0.002443773,0.0003324367],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894534,0.0008421869,0.00865365,0.000151972,0.0006383334,0.00009145407,0.00001186553,0.00003012242,0.0001270334],"genre_scores_gemma":[0.998158,0.00155076,0.0001477539,0.000003688424,0.000117315,0.00000132393,0.000006185683,0.00001198019,0.000002975422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5824388,"threshold_uncertainty_score":0.4439266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006191925081434759,"score_gpt":0.2428602092819622,"score_spread":0.2366682842005274,"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."}}