{"id":"W2249613567","doi":"10.1200/jco.2009.27.15_suppl.4044","title":"Analysis of prognostic (prog) Web-based models for stage II and III colon cancer (CC): A population-based validation of <i>Numeracy</i> (NUM) and <i>ADJUVANT! Online</i> (ADJ!)","year":2009,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Colorectal Cancer Treatments and Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Medicine; Cohort; Internal medicine; Population; Stage (stratigraphy); Confidence interval; Oncology; Proportional hazards model; Colorectal cancer; Surgery; Cancer","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":[0.01561985,0.000619141,0.0007160977,0.0009318477,0.0002635047,0.0007889069,0.0008303263,0.0004619384,0.002045011],"category_scores_gemma":[0.03718003,0.000307551,0.001234613,0.0006587357,0.0003120194,0.0004598884,0.0009134398,0.0007713619,0.0004225437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007314452,"about_ca_system_score_gemma":0.0008259763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006586093,"about_ca_topic_score_gemma":0.005020926,"domain_scores_codex":[0.9956806,0.003499002,0.0001364963,0.0003601361,0.0002371307,0.00008657934],"domain_scores_gemma":[0.9611307,0.03183497,0.003207818,0.00215628,0.001129402,0.0005407873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004918378,0.0004149086,0.895501,0.000125343,0.00137956,0.0001055506,0.0001547055,0.0606944,0.0002672768,0.0003780752,0.001276966,0.03478388],"study_design_scores_gemma":[0.0008665443,0.002802479,0.2883376,0.00009630969,0.0009654727,0.0004167588,0.000158138,0.7021604,0.0007354756,0.001586078,0.00181848,0.0000563213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848531,0.0002651314,0.0115102,0.0002382264,0.00001968452,0.0001123706,0.001768871,0.000173262,0.001059059],"genre_scores_gemma":[0.9937106,0.00004723963,0.004764196,0.00004080809,0.00001301596,0.00008172628,0.001119929,0.00001655169,0.0002059377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01561985,"threshold_uncertainty_score":0.08260661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0934914164902395,"score_gpt":0.4555325329887802,"score_spread":0.3620411164985406,"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."}}