{"id":"W3183723635","doi":"","title":"Development of a Pediatric Ophthalmology Biobank","year":2021,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Medical and Health Sciences Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"","keywords":"Biobank; Optometry; Medicine; Ophthalmology; Biology; Bioinformatics","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":[],"consensus_categories":[],"category_scores_codex":[0.03272422,0.0004888508,0.0007208666,0.004676535,0.002245403,0.004467144,0.00309266,0.001396725,0.04409972],"category_scores_gemma":[0.05413054,0.0007257427,0.0005172353,0.003966708,0.0007363324,0.003608623,0.00521594,0.003271786,0.01528968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003276063,"about_ca_system_score_gemma":0.0223449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004827889,"about_ca_topic_score_gemma":0.003810403,"domain_scores_codex":[0.9898264,0.003824106,0.001858497,0.001577459,0.002046594,0.0008668229],"domain_scores_gemma":[0.9235733,0.01410954,0.007766647,0.01427393,0.02787097,0.01240566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002932081,0.002381695,0.1604563,0.001218963,0.0002441725,0.001794803,0.00454569,0.002058048,0.01279538,0.04815657,0.4407389,0.3226774],"study_design_scores_gemma":[0.0006430714,0.0006717738,0.05522376,0.001436799,0.0001594071,0.0007716735,0.00260148,0.001705904,0.006968259,0.006467441,0.9232801,0.00007040676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.1968961,0.004345195,0.2222933,0.07337065,0.006218209,0.05426743,0.2973066,0.004048773,0.1412537],"genre_scores_gemma":[0.1721087,0.003921931,0.422105,0.01423719,0.00265364,0.04229137,0.2743871,0.001469843,0.06682518],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04409972,"threshold_uncertainty_score":0.1730643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1418248724973805,"score_gpt":0.4481387405929796,"score_spread":0.3063138680955991,"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."}}