{"id":"W4391024432","doi":"10.15353/cjo.v49i2.4552","title":"Quantifying the Magnitude of Visual Impairment with Multi-Flash Campimetry","year":2021,"lang":"en","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flicker; Flicker fusion threshold; Flash (photography); Observer (physics); Computer science; Point (geometry); Computer vision; Duty cycle; Artificial intelligence; Computer graphics (images); Mathematics; Optics; Physics; Engineering; Electrical engineering; Voltage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008494096,0.0005683697,0.0004757899,0.002487225,0.000361005,0.0004894053,0.0003888732,0.0005070316,0.004542368],"category_scores_gemma":[0.001595927,0.0001958432,0.0002578623,0.0007502303,0.0005046416,0.0004709564,0.0006867458,0.0008266513,0.0004412176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003286927,"about_ca_system_score_gemma":0.0002626071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001743434,"about_ca_topic_score_gemma":0.00204551,"domain_scores_codex":[0.9994203,0.00006300974,0.000053454,0.0001094053,0.0002636179,0.00009020745],"domain_scores_gemma":[0.9985948,0.0002197708,0.0002808826,0.0001492953,0.0005736079,0.0001815201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004621533,0.00153917,0.1717804,0.0007129167,0.0003195328,0.001447615,0.0006890889,0.002502913,0.689423,0.001150316,0.002964249,0.1228493],"study_design_scores_gemma":[0.0000662227,0.003289935,0.7695755,0.00009381031,0.0001666545,0.0049453,0.0004820348,0.00914744,0.209509,0.0009589288,0.001689749,0.00007532322],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776213,0.0006873513,0.01498595,0.00009004035,0.00003875299,0.0003311512,0.001168161,0.0003666602,0.004710597],"genre_scores_gemma":[0.9871862,0.0004410847,0.00911678,0.00007022342,0.0000134011,0.0001357638,0.0005278586,0.00005059885,0.002458179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004542368,"threshold_uncertainty_score":0.01519579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05870176344396,"score_gpt":0.3754411577627802,"score_spread":0.3167393943188202,"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."}}