{"id":"W3096389297","doi":"10.1167/jov.20.11.888","title":"The Effect of Training on Vertical Heading Discrimination in a Simulated Environment","year":2020,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Heading (navigation); Judgement; Training (meteorology); Horizontal plane; Vertical plane; Test (biology); Simulation; Descent (aeronautics); Task (project management); Psychology; Horizontal and vertical; Geodesy; Computer science; Audiology; Geology; Engineering; Medicine; Geography; Meteorology; Telecommunications","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":[0.0001779264,0.0003040339,0.0001679749,0.0001104798,0.00008226518,0.0001874505,0.0001531297,0.0002606761,0.001710021],"category_scores_gemma":[0.00179215,0.0000812732,0.0001094052,0.00005579003,0.0001641078,0.0001336472,0.0002706339,0.0002054723,0.0001421894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008014958,"about_ca_system_score_gemma":0.0001134536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008486503,"about_ca_topic_score_gemma":0.0007185182,"domain_scores_codex":[0.9998816,0.00003045685,0.00001180789,0.00002765173,0.00002100111,0.00002751046],"domain_scores_gemma":[0.9988,0.0006319331,0.0002011654,0.00008770206,0.000101,0.0001781188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02640897,0.008924721,0.03905742,0.0006386351,0.0001360053,0.0004043483,0.001132742,0.003993365,0.7796361,0.00007068725,0.000316464,0.1392806],"study_design_scores_gemma":[0.0007412775,0.09315817,0.6556886,0.0001526318,0.0003632749,0.0006823845,0.0007825693,0.01284326,0.2330819,0.0002268893,0.002212688,0.00006630551],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996087,0.00002997799,0.0001718659,0.000004911511,0.000004728347,0.000007483006,0.00001072335,0.000006534155,0.0001551711],"genre_scores_gemma":[0.9989991,0.00004038176,0.0006385595,0.000008681518,0.000003586129,0.00001350926,0.00003667524,0.000003000624,0.0002565677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001710021,"threshold_uncertainty_score":0.005720615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075522147408764,"score_gpt":0.2486206321178524,"score_spread":0.2378654106437648,"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."}}