{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003328141,0.0005706896,0.0002763557,0.001730693,0.0001774315,0.0006310633,0.0007158188,0.0004464754,0.01114263],"category_scores_gemma":[0.01747083,0.0001750709,0.0003413039,0.000554337,0.0005031005,0.000788512,0.0008734143,0.0003868232,0.002023407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003760149,"about_ca_system_score_gemma":0.0003517408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00161325,"about_ca_topic_score_gemma":0.001070291,"domain_scores_codex":[0.9958962,0.001235291,0.0003821382,0.0006548019,0.001687012,0.0001445783],"domain_scores_gemma":[0.9909531,0.002797514,0.002434145,0.0009951687,0.00228315,0.0005368891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004609548,0.0007562762,0.8075206,0.000428011,0.000230356,0.0007912588,0.0008250537,0.0007915694,0.02002727,0.001206457,0.002399292,0.1604142],"study_design_scores_gemma":[0.0002997328,0.005647168,0.9730456,0.0001527051,0.00009916751,0.004952383,0.000403269,0.003374756,0.007512093,0.0004392936,0.004023269,0.00005040839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828382,0.0009419174,0.004832614,0.0001376405,0.00009334493,0.0001702544,0.000593512,0.0001429828,0.01024952],"genre_scores_gemma":[0.9902817,0.0001785426,0.006385427,0.0001273929,0.00003936371,0.0001374406,0.0006147376,0.00003171795,0.002203813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01114263,"threshold_uncertainty_score":0.03727585,"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."}}