{"id":"W972614074","doi":"","title":"Resolution of Flicker Defined Form","year":2007,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Flicker; Resolution (logic); Optometry; Computer science; Medicine; Artificial intelligence; Computer graphics (images)","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":[0.0003654287,0.0003624672,0.0003207203,0.0006800561,0.0003454759,0.001360619,0.0005340093,0.0007259584,0.01242565],"category_scores_gemma":[0.002057892,0.0001763267,0.0001903815,0.0004858493,0.0005301901,0.001089639,0.001281954,0.0007607776,0.001233027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004788686,"about_ca_system_score_gemma":0.0003192188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003520747,"about_ca_topic_score_gemma":0.0004634886,"domain_scores_codex":[0.9995184,0.00005128775,0.00002280504,0.00007891502,0.0002430418,0.00008557073],"domain_scores_gemma":[0.9989455,0.0003123865,0.00008785724,0.0003495801,0.0002146941,0.00008997803],"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":[0.001827147,0.0001930476,0.003488302,0.0002926488,0.00005355331,0.002942145,0.000628625,0.004196915,0.6877032,0.04205896,0.005799214,0.2508163],"study_design_scores_gemma":[0.0002291504,0.001250128,0.02169025,0.0001389402,0.00008995715,0.01735255,0.0009665984,0.04427256,0.8241215,0.02544544,0.06429707,0.0001457469],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6700485,0.003578205,0.2277893,0.001005741,0.0005022835,0.0001977804,0.0004330283,0.001485756,0.09495953],"genre_scores_gemma":[0.952039,0.0007358431,0.02723073,0.0004081728,0.00005056462,0.00003666826,0.0003841461,0.0002329027,0.01888197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01242565,"threshold_uncertainty_score":0.04156798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03608485307071443,"score_gpt":0.3094858988269332,"score_spread":0.2734010457562188,"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."}}