{"id":"W2898021123","doi":"10.3233/blc-189037","title":"A Festschrift in Honor of Edward M. Messing, MD, FACS","year":2018,"lang":"en","type":"article","venue":"Bladder Cancer","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôtel-Dieu de Québec","funders":"National Cancer Institute","keywords":"Honor; Medicine; Gerontology; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007366356,0.0001728957,0.0003598491,0.0001276135,0.00003721534,0.000009651557,0.00009004377,0.0001015016,0.001914112],"category_scores_gemma":[0.00002183396,0.000142219,0.00008939426,0.0002880924,0.0001727877,0.00007882019,0.00003365706,0.0001256994,0.00007628611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009023197,"about_ca_system_score_gemma":0.0004613041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001934273,"about_ca_topic_score_gemma":0.001287972,"domain_scores_codex":[0.9988558,0.00002616463,0.0002761975,0.0002893702,0.0002518906,0.0003005738],"domain_scores_gemma":[0.999353,0.00001748654,0.00008533285,0.0003048069,0.0001261445,0.0001132349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002078251,0.001237579,0.7472185,0.0004169935,0.0009020757,0.0001336197,0.005663081,0.000008553855,0.02663094,0.000653159,0.08234506,0.1327122],"study_design_scores_gemma":[0.01461435,0.001827705,0.5337151,0.001316222,0.0005726116,0.00005849655,0.0004480357,0.0001087323,0.1717806,0.000483859,0.2744225,0.000651766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8974884,0.007907114,0.0001600659,0.001410049,0.0009391939,0.0008229268,0.0000831183,0.00009206285,0.09109712],"genre_scores_gemma":[0.9949338,0.0005738458,0.0005070743,0.001060563,0.0005472855,0.0001025881,0.000006973516,0.0000363835,0.002231525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2135034,"threshold_uncertainty_score":0.9989983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02427980984102118,"score_gpt":0.3336353259049982,"score_spread":0.309355516063977,"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."}}