{"id":"W647380298","doi":"10.1503/cmaj.111566","title":"Esotropia: Figure 1:","year":2012,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Ophthalmology and Eye Disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Esotropia; Optometry; Data science; Information retrieval; Computer graphics (images); Artificial intelligence; Medicine; Ophthalmology; Strabismus","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001306946,0.001459641,0.0005774694,0.001134726,0.0008453344,0.001210735,0.0007725971,0.00135729,0.2445885],"category_scores_gemma":[0.0005834144,0.0001421271,0.0004683739,0.0008646486,0.0003990331,0.0009992875,0.001210218,0.001372225,0.08540642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005773343,"about_ca_system_score_gemma":0.001024597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006196322,"about_ca_topic_score_gemma":0.006461503,"domain_scores_codex":[0.9997122,0.00002254886,0.00001557916,0.00004263359,0.0001288884,0.00007800793],"domain_scores_gemma":[0.9997998,0.00001536996,0.00002606005,0.00001034586,0.00008806152,0.00006033581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"case_report","study_design_scores_codex":[0.0003600135,0.0003973067,0.03066271,0.0005783067,0.00002991785,0.02093592,0.0002685442,0.000720478,0.007526815,0.008859885,0.5891033,0.3405568],"study_design_scores_gemma":[0.000226016,0.0006093956,0.08256247,0.001693299,0.00007411617,0.1748897,0.00131194,0.001778904,0.004120109,0.009123368,0.7235076,0.0001030427],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03778617,0.006320821,0.01273099,0.01004495,0.002028747,0.001395075,0.01540405,0.003543904,0.9107453],"genre_scores_gemma":[0.3424176,0.010666,0.0230285,0.008104491,0.0009630647,0.0006483961,0.01286571,0.0007940111,0.6005123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2445885,"threshold_uncertainty_score":0.81823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008727505855703525,"score_gpt":0.2590511299780202,"score_spread":0.2503236241223167,"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."}}