{"id":"W1019962008","doi":"","title":"AJCC TNM COLLABORATIVE INTERNET STAGING VALIDATION FOR OPHTHALMIC TUMORS","year":2013,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Medical physics; Staging system; The Internet; Radiology; Computer science; Internal medicine; Cancer; World Wide Web","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":[0.00941031,0.0007989762,0.0007780867,0.005421829,0.001612088,0.00148746,0.001945198,0.001373487,0.00370967],"category_scores_gemma":[0.01820379,0.0003386185,0.001259313,0.001796763,0.0004804889,0.001259418,0.002101663,0.0005929403,0.001678039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139187,"about_ca_system_score_gemma":0.001825967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02213004,"about_ca_topic_score_gemma":0.04586213,"domain_scores_codex":[0.9973543,0.0009262747,0.0004176381,0.0004263711,0.0006353007,0.0002401635],"domain_scores_gemma":[0.9872733,0.003583675,0.0008378035,0.002696749,0.005006596,0.0006017709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001878153,0.0004411019,0.6841466,0.0004202937,0.0008122059,0.0004546637,0.0005759803,0.008112011,0.01849668,0.0009321511,0.05112069,0.2326094],"study_design_scores_gemma":[0.0004999264,0.000853925,0.7989428,0.0004637503,0.002941832,0.002614143,0.001066697,0.1136796,0.02600016,0.001928546,0.05084129,0.0001673932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9018778,0.002728319,0.04326456,0.0009339483,0.0006233606,0.001453049,0.02216682,0.002766636,0.0241855],"genre_scores_gemma":[0.9036281,0.0005780585,0.03935451,0.000455881,0.0001659068,0.0008917862,0.04724832,0.0007725664,0.006904916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02213004,"threshold_uncertainty_score":0.04976708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02929879213606629,"score_gpt":0.361423595717114,"score_spread":0.3321248035810477,"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."}}