{"id":"W3206312039","doi":"10.15353/cjo.v49i4.4572","title":"Canadian Vision Standards","year":2021,"lang":"en","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Ocular and Laser Science Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Optometry; Order (exchange); Computer science; Medicine; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005027095,0.0005470137,0.001475684,0.01337834,0.0008129663,0.0008910583,0.001333125,0.0005250158,0.006655528],"category_scores_gemma":[0.003101206,0.0005077477,0.0009854999,0.007537934,0.0005603952,0.001139865,0.00003601062,0.002537083,0.00007170198],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007895618,"about_ca_system_score_gemma":0.1387346,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1000883,"about_ca_topic_score_gemma":0.3379661,"domain_scores_codex":[0.9922906,0.0003437039,0.001817838,0.0004735266,0.002627995,0.002446319],"domain_scores_gemma":[0.9682728,0.0002050935,0.0007948798,0.0007249053,0.007802216,0.02220009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007133321,0.00004371023,0.9176424,0.000127686,0.0004783155,0.03575335,0.0004321556,0.0001119851,0.000426523,0.00001218806,0.0402209,0.00467947],"study_design_scores_gemma":[0.003034432,0.001055551,0.8156515,0.001393695,0.0003373378,0.03090724,0.002057809,0.0001076326,0.002721548,0.00001170484,0.1420657,0.0006559088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614452,0.01205359,0.0005331338,0.01471596,0.002647724,0.0002315046,0.0004806255,0.000006131621,0.007886171],"genre_scores_gemma":[0.9929214,0.0004099676,0.002361888,0.001485117,0.00104036,0.000001063867,0.00001940102,0.0001007081,0.001660156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2378778,"threshold_uncertainty_score":0.9997641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349338156412581,"score_gpt":0.3757182738929106,"score_spread":0.3622248923287847,"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."}}