{"id":"W4226220173","doi":"10.5750/ijme.v162ia2.1129","title":"INTEGRATED ACCIDENT MODEL FOR MARINE CONVOY TRAFFIC IN ICE- COVERED WATERS","year":2021,"lang":"en","type":"article","venue":"The International Journal of Maritime Engineering","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Crew; Aeronautics; Risk assessment; Risk analysis (engineering); Engineering; Computer science; Operations research; Transport engineering; Computer security; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003996377,0.0001412812,0.0002104285,0.0001592577,0.00001756112,0.00008480706,0.0003825962,0.00006239128,0.0001700123],"category_scores_gemma":[0.0001628746,0.0001213182,0.0001371398,0.0001237219,0.00001155467,0.00019439,0.00005920101,0.0003298705,0.00000459813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002428547,"about_ca_system_score_gemma":0.00007296156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000635127,"about_ca_topic_score_gemma":0.00002866586,"domain_scores_codex":[0.9989225,0.0000152054,0.0005308361,0.00008646189,0.0002661765,0.0001788812],"domain_scores_gemma":[0.9992516,0.0001874253,0.00006259887,0.0001005955,0.0003361828,0.00006159172],"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":[0.00005803007,0.00002597866,0.0001431888,0.00001985738,0.0001446192,0.00006121511,0.0001578676,0.9889898,0.003262165,0.0006100468,0.0006952265,0.005831964],"study_design_scores_gemma":[0.001138052,0.00001188487,0.0008284294,0.0001049282,0.0000170813,0.0001885986,0.0000582399,0.9900808,0.003213257,0.0002482013,0.003978734,0.0001317733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7755501,0.0004330474,0.2162598,0.002909132,0.0029936,0.0002952353,0.00007056502,0.000150818,0.001337633],"genre_scores_gemma":[0.9942215,0.0001516207,0.004811577,0.0001337814,0.0001858295,0.000009741219,0.00005421333,0.0000333637,0.0003983738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2186714,"threshold_uncertainty_score":0.4947211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043070355601387,"score_gpt":0.2193514763368023,"score_spread":0.2089207727807885,"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."}}