{"id":"W2467771230","doi":"10.3357/amhp.4326.2015","title":"Military Research ColorDx and Printed Color Vision Tests","year":2015,"lang":"en","type":"article","venue":"Aerospace Medicine and Human Performance","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"King Saud University; Saudi Arabian Cultural Bureau","keywords":"Hum; Aeronautics; Optometry; Color vision; Computer vision; Engineering; Artificial intelligence; Medicine; Computer science; Art; Art history","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001135854,0.0001403772,0.0001948605,0.0001531256,0.000589118,0.00003474164,0.0001419314,0.00007524888,0.00008735254],"category_scores_gemma":[0.0004147656,0.000104907,0.000009602994,0.000298668,0.0008216333,0.0002846961,0.0001443532,0.0003346973,0.00005741641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003340679,"about_ca_system_score_gemma":0.00004211925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007184828,"about_ca_topic_score_gemma":0.00006859288,"domain_scores_codex":[0.9984715,0.0001217983,0.0001815887,0.00040822,0.0004988633,0.000318009],"domain_scores_gemma":[0.9992073,0.0001367603,0.0000385927,0.000188066,0.0001426184,0.0002866641],"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":[0.0003337244,0.000186747,0.008339198,0.0003451654,0.000004240833,0.00002862959,0.01778689,0.000007950192,0.9167338,0.005036172,0.03922404,0.01197346],"study_design_scores_gemma":[0.025576,0.06621538,0.3055271,0.004494951,0.0001200786,0.0009469928,0.0307274,0.05520134,0.2242747,0.01187294,0.2720852,0.002957961],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926617,0.0003053335,0.00001777373,0.002324272,0.0001315528,0.0002267998,0.000001026292,0.00007645034,0.004255056],"genre_scores_gemma":[0.9940089,0.0004424446,0.000115372,0.001162699,0.000146159,0.00001703822,0.000002670755,0.00001500619,0.004089714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.692459,"threshold_uncertainty_score":0.4531079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2338184108149359,"score_gpt":0.4461327321023903,"score_spread":0.2123143212874544,"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."}}