{"id":"W4319761789","doi":"10.1027/2192-0923/a000237","title":"Policy Capturing to Support Pilot Decision-Making","year":2023,"lang":"en","type":"article","venue":"Aviation Psychology and Applied Human Factors","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thales (Canada)","funders":"","keywords":"Judgement; Computer science; Shadow (psychology); Decision support system; Artificial intelligence; Decision rule; Decision model; Machine learning; Operations research; Management science; Psychology; Engineering; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001953904,0.0007079671,0.0002671138,0.0006479223,0.0002998092,0.001128292,0.0009037645,0.0005009749,0.002600948],"category_scores_gemma":[0.01174713,0.0002771444,0.000297229,0.0002653252,0.000480739,0.0012501,0.0009477319,0.0009017075,0.0003726721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000702784,"about_ca_system_score_gemma":0.001527474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003250045,"about_ca_topic_score_gemma":0.002423016,"domain_scores_codex":[0.9993405,0.0002716592,0.00005313908,0.0001368508,0.0001411117,0.00005665707],"domain_scores_gemma":[0.9926165,0.005352167,0.000555605,0.00076502,0.0004592027,0.0002514645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001528621,0.002426762,0.03717715,0.0006721012,0.0001875157,0.0004621482,0.003741347,0.3283237,0.03996489,0.01199844,0.004376427,0.5691408],"study_design_scores_gemma":[0.00006791663,0.000481875,0.00402008,0.0001091272,0.00004342586,0.0001109881,0.0002330213,0.9629325,0.01944768,0.008693294,0.003804977,0.0000550261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3901503,0.0001447471,0.5947514,0.0005506775,0.00006842856,0.0007711678,0.0003849306,0.006349203,0.006829175],"genre_scores_gemma":[0.896502,0.00006393009,0.1025565,0.00008160165,0.000008005552,0.0001315817,0.0001904109,0.00004509963,0.000420754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003250045,"threshold_uncertainty_score":0.01033336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05763078140756265,"score_gpt":0.4295730794019471,"score_spread":0.3719422979943844,"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."}}