{"id":"W1994099007","doi":"10.1016/s1053-4296(03)00053-5","title":"Surgical pathology for the oncology patient in the age of standardization: of margins, micrometastasis, and molecular markers","year":2003,"lang":"en","type":"article","venue":"Seminars in Radiation Oncology","topic":"Colorectal Cancer Surgical Treatments","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Medicine; Standardization; Micrometastasis; Terminology; Intensive care medicine; Stage (stratigraphy); Molecular pathology; Cancer; Pathology; Medical physics; Oncology; Internal medicine; Metastasis","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":[],"consensus_categories":[],"category_scores_codex":[0.00108708,0.0001075511,0.0004648689,0.0001526055,0.00002245532,0.000002247458,0.00007180332,0.0001667852,0.00007000798],"category_scores_gemma":[0.0004111451,0.0000706447,0.00007556412,0.0003786517,0.0002621322,0.00001981891,0.00002047732,0.0001416752,5.02698e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000365567,"about_ca_system_score_gemma":0.0002168059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002036889,"about_ca_topic_score_gemma":0.00006587387,"domain_scores_codex":[0.9983296,0.0006645572,0.0004685938,0.0002023211,0.0001483348,0.0001865939],"domain_scores_gemma":[0.9977653,0.001753776,0.0001985099,0.000186427,0.00006554354,0.00003045489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01629471,0.004843716,0.3093614,0.0004762591,0.0006193622,0.00530713,0.01702204,0.001634554,0.007731726,0.01649768,0.006399575,0.6138118],"study_design_scores_gemma":[0.01425699,0.01039365,0.1079607,0.00009251315,0.000260856,0.0009424591,0.00325438,0.0001728431,0.005746162,0.0008286379,0.8559133,0.0001774884],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844038,0.008072225,0.0003141437,0.002019645,0.0001938093,0.001441782,0.00003664471,0.000006173681,0.003511779],"genre_scores_gemma":[0.9954793,0.002181513,0.00169122,0.0003474168,0.0000107046,0.0002240247,0.00003407967,0.00001610727,0.00001559991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8495137,"threshold_uncertainty_score":0.2880807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391822591959279,"score_gpt":0.3257978481208902,"score_spread":0.3118796222012974,"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."}}