{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001119567,0.0002649234,0.0004306429,0.0003227827,0.0003348718,0.000145058,0.0003767383,0.00009529632,0.0003660956],"category_scores_gemma":[0.003228428,0.0002230799,0.00007540527,0.001097478,0.00382466,0.0005974651,0.0001646836,0.0004345214,0.0001167534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002282281,"about_ca_system_score_gemma":0.0007487477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002495476,"about_ca_topic_score_gemma":1.950418e-7,"domain_scores_codex":[0.9975238,0.0001471816,0.0004293362,0.0007509546,0.0004853317,0.0006633728],"domain_scores_gemma":[0.997871,0.0003454027,0.000258577,0.0002342888,0.0007381605,0.0005525937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004566001,0.0001400924,0.09035872,0.00006130184,0.00004547527,0.0001138462,0.002074998,0.00005699923,0.9037511,0.0008864421,0.0008731941,0.00159222],"study_design_scores_gemma":[0.002192586,0.002793535,0.2209731,0.000446765,0.00008685597,0.00135705,0.002032526,0.05865318,0.6935208,0.01686959,0.0004075993,0.0006664239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914725,0.00005040488,0.0002541189,0.003266076,0.0003730583,0.001166628,0.000005892987,0.00007134954,0.003339951],"genre_scores_gemma":[0.9845162,0.000001974864,0.01317171,0.0007826844,0.0001500537,0.0002417974,0.00003125858,0.00003022571,0.001074081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2102302,"threshold_uncertainty_score":0.9988863,"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."}}