{"id":"W263756381","doi":"","title":"1997 Canadian Forces Air Operations Vision Survey Sections III, IV Vand VI Vision Protectors and Enhancers","year":2000,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Ocular and Laser Science Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Optometry; Aeronautics; Engineering; Computer vision; Computer science; Medicine","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":[0.001517362,0.0007483755,0.0002071917,0.005301201,0.004058967,0.001938055,0.001181421,0.0007806371,0.02571454],"category_scores_gemma":[0.002894277,0.0003791275,0.0003105072,0.005475186,0.0005538262,0.0005384221,0.0007316125,0.0009821446,0.004417968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02499511,"about_ca_system_score_gemma":0.06907683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9817092,"about_ca_topic_score_gemma":0.9903154,"domain_scores_codex":[0.9965329,0.00006717749,0.00008726872,0.0001367542,0.002600482,0.000575345],"domain_scores_gemma":[0.991399,0.000161502,0.000312406,0.00009708873,0.007548112,0.000481971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001079628,0.0001041034,0.05318691,0.0005216541,0.00002217543,0.00009713079,0.0007684148,0.0004799712,0.001518725,0.001786845,0.808234,0.1331721],"study_design_scores_gemma":[0.00001350183,0.0000563487,0.1983449,0.0003851163,0.00001703978,0.00005472682,0.001284513,0.0001292502,0.0009261982,0.0001146721,0.798645,0.000028686],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1077532,0.01668812,0.005636601,0.02403126,0.002874831,0.003068424,0.2151965,0.001061032,0.6236901],"genre_scores_gemma":[0.1842703,0.02293813,0.01238695,0.007766442,0.0003754854,0.001168501,0.1450215,0.0002201863,0.6258524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02571454,"threshold_uncertainty_score":0.1813531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623945270596966,"score_gpt":0.3055364279306607,"score_spread":0.2892969752246911,"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."}}