{"id":"W174839659","doi":"","title":"SWISSAIR 111 HUMAN FACTORS: CHECKLISTS AND COCKPIT COMMUNICATION","year":2004,"lang":"en","type":"article","venue":"Journal of Air Transportation","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cockpit; Aeronautics; Checklist; Officer; Aviation; Crew; Aviation safety; Engineering; Aviation accident; Psychology; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001277479,0.00009513796,0.0002832609,0.0002761417,0.0002012943,0.0000651745,0.0003384637,0.00006738464,0.00005438365],"category_scores_gemma":[0.0001109725,0.00006785458,0.0001854536,0.0004058382,0.00007903902,0.000737711,0.000003439308,0.000186134,0.00000694232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003858897,"about_ca_system_score_gemma":0.00005282759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001356545,"about_ca_topic_score_gemma":0.0008123869,"domain_scores_codex":[0.9979007,0.00007824725,0.0009583711,0.000125626,0.0008410636,0.000096055],"domain_scores_gemma":[0.9982305,0.0001660066,0.0007601071,0.0002422493,0.0004950454,0.0001060523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006580524,0.001167318,0.7129966,0.00005973897,0.0006027985,0.0001456762,0.07736784,0.09690147,0.02395334,0.03115596,0.00304706,0.05194417],"study_design_scores_gemma":[0.0007454412,0.0001479554,0.9193183,0.00004027956,0.00007698436,0.000006115971,0.002236717,0.00002133511,0.001610898,0.07422588,0.00147943,0.0000906439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897431,0.0003570587,0.006742155,0.00277009,0.00005502465,0.00004419117,0.000007242577,0.000007839376,0.0002732908],"genre_scores_gemma":[0.9976947,0.0003459446,0.001724714,0.00008853704,0.00003524695,4.612855e-7,0.000017465,0.000005893611,0.00008698979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2063217,"threshold_uncertainty_score":0.276703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05601242676673842,"score_gpt":0.3614782066396265,"score_spread":0.3054657798728881,"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."}}