{"id":"W2165838948","doi":"10.1177/0333102411398401","title":"Detection and discrimination of flicker contrast in migraine","year":2011,"lang":"en","type":"article","venue":"Cephalalgia","topic":"Migraine and Headache Studies","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Institute of Gender and Health; Canadian Institutes of Health Research","keywords":"Flicker; Habituation; Audiology; Migraine; Contrast (vision); Context (archaeology); Medicine; Visual processing; Flicker fusion threshold; Adaptation (eye); Photic Stimulation; Visual cortex; Sensory threshold; Visual perception; Neuroscience; Psychology; Cognitive psychology; Internal medicine; Artificial intelligence; Perception; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009521154,0.00006080378,0.0001592799,0.00009129354,0.00001660623,0.000001135197,0.00001397851,0.00003834009,0.00006171454],"category_scores_gemma":[0.00006586611,0.0000496539,0.00002856276,0.00008777212,0.00005876104,0.00003748817,0.00001279712,0.00006159458,0.000003340507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001157026,"about_ca_system_score_gemma":0.000008450041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003090654,"about_ca_topic_score_gemma":0.0007131035,"domain_scores_codex":[0.9995914,0.00001230411,0.0001441571,0.00009746128,0.00006359546,0.00009108114],"domain_scores_gemma":[0.9997981,0.00001600452,0.00003428053,0.00007301476,0.00004583849,0.00003281159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004683428,0.0006165691,0.6359818,0.001126516,0.0001377494,0.00004230181,0.04582845,8.56288e-8,0.2844174,0.002116547,0.002893612,0.02637067],"study_design_scores_gemma":[0.0009167386,0.0002002048,0.972293,0.00008701627,0.00004636162,0.00001683407,0.001145904,0.00005340423,0.02443735,0.000217221,0.0005377982,0.00004820512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897962,0.0007621333,0.0001320936,0.0001426115,0.0000164045,0.0001543149,0.00000151129,0.00001246234,0.00898225],"genre_scores_gemma":[0.9986354,0.0001268029,0.0001871221,0.00005241576,0.00002529192,0.000009419766,0.000002788188,0.000005985672,0.000954753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3363112,"threshold_uncertainty_score":0.2024827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03328485884206406,"score_gpt":0.2638233888719566,"score_spread":0.2305385300298926,"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."}}