{"id":"W3109334768","doi":"","title":"선박 근접상황에서 항해사의 인적특성요인이 지각한 충돌위험도에 미치는 영향에 관한 연구","year":2020,"lang":"ko","type":"article","venue":"해양환경안전학회지","topic":"Education, Safety, and Science Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collision; License; Quarter (Canadian coin); Statistics; Psychology; Demography; Applied psychology; Computer security; Computer science; Geography; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000892074,0.0002134725,0.0001795516,0.0004739422,0.0004715679,0.0006956079,0.0002842807,0.0003258702,0.002049287],"category_scores_gemma":[0.007030392,0.00008638886,0.0003264529,0.0002252393,0.0005926035,0.0004052043,0.0006883571,0.0003667402,0.0003035488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003170707,"about_ca_system_score_gemma":0.0005430523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001719624,"about_ca_topic_score_gemma":0.003427686,"domain_scores_codex":[0.9989035,0.0003597721,0.0000847873,0.0001301243,0.0004173427,0.0001044253],"domain_scores_gemma":[0.9921629,0.002800001,0.003596279,0.0002357848,0.0007730712,0.0004320038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002614896,0.0002342661,0.9266738,0.0001715601,0.00006561394,0.0003422296,0.006571404,0.0004669419,0.003193192,0.0004385653,0.0003430817,0.06123777],"study_design_scores_gemma":[0.000004750079,0.0007117662,0.9863626,0.00005300109,0.00003374424,0.0008647342,0.008857639,0.0005413422,0.0009760566,0.0002323207,0.001336829,0.00002521551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951827,0.0001634857,0.001561146,0.0001143842,0.00001580751,0.0000125026,0.00002115357,0.00000605429,0.002922718],"genre_scores_gemma":[0.9984078,0.00015948,0.0006958031,0.00004591324,0.00001804746,0.00001444972,0.00002870654,0.00000169621,0.000628206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002049287,"threshold_uncertainty_score":0.006855607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08087864614029014,"score_gpt":0.3676288263659789,"score_spread":0.2867501802256888,"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."}}