{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004308927,0.0003333004,0.0001653463,0.001887888,0.001768022,0.001161725,0.0003519989,0.0005949807,0.009866654],"category_scores_gemma":[0.02338415,0.0001764168,0.0001694562,0.001711456,0.001085078,0.000626013,0.000944405,0.0004954035,0.001063806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001921485,"about_ca_system_score_gemma":0.003516925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08207209,"about_ca_topic_score_gemma":0.07654659,"domain_scores_codex":[0.9951012,0.002308234,0.0004832507,0.0001973237,0.001665476,0.0002444732],"domain_scores_gemma":[0.9751226,0.01167572,0.005003234,0.0009297879,0.006666558,0.0006020818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001256726,0.0003616721,0.3727581,0.001705332,0.00006940442,0.00222144,0.08262543,0.002481219,0.01520883,0.005569555,0.09354167,0.4222007],"study_design_scores_gemma":[0.00006120584,0.0009727684,0.8310598,0.000696576,0.00003635072,0.001092158,0.03742047,0.001855942,0.003481293,0.000769866,0.1223566,0.0001970123],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9267974,0.001226669,0.01003973,0.00494893,0.0002555389,0.001118273,0.00498396,0.0006629578,0.04996656],"genre_scores_gemma":[0.9793653,0.0006263828,0.007145069,0.0003007046,0.00005334246,0.0007048941,0.002897716,0.00006761,0.008838871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08207209,"threshold_uncertainty_score":0.1631888,"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."}}