{"id":"W2148802044","doi":"10.1002/cncr.10492","title":"TNM residual tumor classification revisited","year":2002,"lang":"en","type":"article","venue":"Cancer","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":491,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Residual; Standardization; Disease; Classification scheme; Intensive care medicine; Completeness (order theory); Oncology; Internal medicine; Machine learning; Computer science; Algorithm","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":[0.00004802323,0.00007234349,0.0001334529,0.0000686228,0.0000351758,0.00001343461,0.00004958581,0.00002171954,0.004461973],"category_scores_gemma":[0.00002965648,0.00006139744,0.00004142007,0.0002182267,0.00002473632,0.00004867914,0.00001498016,0.00007719536,0.0002150604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001128668,"about_ca_system_score_gemma":0.00001344229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002119562,"about_ca_topic_score_gemma":0.000007323496,"domain_scores_codex":[0.9994039,0.000009093836,0.0001278677,0.0001614913,0.0001565455,0.0001411208],"domain_scores_gemma":[0.9996277,0.00001140474,0.00004926965,0.0002067416,0.00004501931,0.00005988126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006104376,0.00005440655,0.1702181,0.000127505,0.00007401354,0.00003899485,0.0001676396,0.000002728494,0.001566491,0.001143535,0.7587584,0.06778711],"study_design_scores_gemma":[0.000986527,0.00004761141,0.5219968,0.00007542617,0.0001148035,0.000005776556,0.00006136934,0.0003944593,0.0002392126,0.00002468974,0.475964,0.00008930756],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7175268,0.01285752,0.0002523432,0.04708866,0.001095113,0.001213094,0.00002022575,0.0004526073,0.2194936],"genre_scores_gemma":[0.9548045,0.0007143278,0.0001781291,0.003381927,0.0006544454,0.00005145455,0.00001245472,0.00001487126,0.04018788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3517787,"threshold_uncertainty_score":0.9964481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06796921168696672,"score_gpt":0.3116086353482219,"score_spread":0.2436394236612552,"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."}}