{"id":"W786088669","doi":"","title":"Bayesian Test-Retest Repeatability Tells You Want You Want To Know In Equivalency Of Imaging Metrics","year":2015,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Repeatability; Bayesian probability; Test (biology); Computer science; Artificial intelligence; Statistics; Machine learning; Medical physics; Mathematics; Medicine; Geology","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3332093,0.002574159,0.01108792,0.005486305,0.002165281,0.007032554,0.003374755,0.006421479,0.002519269],"category_scores_gemma":[0.6989651,0.003795884,0.02157681,0.004858015,0.00552835,0.01353066,0.004802186,0.008316695,0.0008358701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155514,"about_ca_system_score_gemma":0.002002947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002970448,"about_ca_topic_score_gemma":0.004570685,"domain_scores_codex":[0.6016282,0.262582,0.05797708,0.04256204,0.03346552,0.001785027],"domain_scores_gemma":[0.1619456,0.699881,0.0303024,0.08588538,0.02120196,0.0007836582],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008425803,0.0006768635,0.2805044,0.02200496,0.3503684,0.0007164361,0.008341684,0.007677903,0.003405422,0.02105252,0.02616864,0.2706569],"study_design_scores_gemma":[0.006433122,0.01033598,0.4329025,0.01361489,0.2563594,0.004224243,0.002913589,0.02984497,0.01106209,0.1686918,0.0614706,0.002146701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2457709,0.178656,0.5180321,0.02151307,0.009718296,0.003157827,0.006739361,0.002540187,0.01387239],"genre_scores_gemma":[0.8503812,0.005180597,0.1275354,0.006856964,0.001609145,0.003406463,0.002365272,0.0005911388,0.002073881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6667907,"threshold_uncertainty_score":0.8222716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5150732326958747,"score_gpt":0.5182416035899159,"score_spread":0.003168370894041206,"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."}}