{"id":"W3080740361","doi":"","title":"Optical coherence tomography guided precision management strategies for retinoblastoma","year":2019,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Optical coherence tomography; Retinoblastoma; Coherence (philosophical gambling strategy); Computer science; Optics; Optometry; Medicine; Physics; Biology","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":[0.0003679933,0.000409824,0.0003611432,0.001128427,0.000629305,0.001200519,0.0004061654,0.0005747805,0.002193158],"category_scores_gemma":[0.001361461,0.0001926504,0.0005141498,0.0004180739,0.0005862405,0.000924106,0.0006566225,0.001061883,0.0003515001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009402014,"about_ca_system_score_gemma":0.00121932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003594453,"about_ca_topic_score_gemma":0.005826248,"domain_scores_codex":[0.9997378,0.00003720565,0.00002323842,0.00004818282,0.0001071074,0.00004640034],"domain_scores_gemma":[0.9996625,0.0001248732,0.0001142129,0.00002793804,0.00004334707,0.0000271602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008787728,0.0004024394,0.01840617,0.0009684919,0.0002658661,0.005880806,0.0006812301,0.007546051,0.06042489,0.01162472,0.009122919,0.8837976],"study_design_scores_gemma":[0.001046056,0.006864095,0.1744471,0.005012632,0.002508887,0.1824274,0.004366045,0.07987758,0.1828039,0.07406689,0.2859928,0.0005866777],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4028542,0.2681815,0.2503127,0.01518594,0.001163491,0.0003896985,0.0003161572,0.00166165,0.05993459],"genre_scores_gemma":[0.9278485,0.02675608,0.03886984,0.001904794,0.0004077568,0.00009733593,0.00009623331,0.00008727599,0.003932213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003594453,"threshold_uncertainty_score":0.007336855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04364313479989283,"score_gpt":0.3740122296466465,"score_spread":0.3303690948467536,"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."}}