{"id":"W4293243798","doi":"10.23889/ijpds.v7i3.2097","title":"Development of a Prediction Model for Survival Time in Esophageal Cancer Patients Treated with Resection.","year":2022,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Toronto; Dalhousie University; McGill University; Queen's University; University of Manitoba","funders":"","keywords":"Medicine; Statistic; Cohort; Cancer registry; Stage (stratigraphy); Esophageal cancer; Clinical trial; Internal medicine; Proportional hazards model; Cancer; Oncology; Surgery; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007801051,0.00006919268,0.0001158669,0.0003900458,0.0003111719,0.00003463697,0.0003809711,0.00001258594,0.00005380683],"category_scores_gemma":[0.0001198803,0.00005609616,0.00002493575,0.0002916381,0.00004337918,0.0005734115,0.0001336172,0.0001020238,3.723269e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013299,"about_ca_system_score_gemma":0.0007779986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000159666,"about_ca_topic_score_gemma":0.0002426533,"domain_scores_codex":[0.998042,0.00001623825,0.0003364823,0.0002489639,0.001186101,0.0001701871],"domain_scores_gemma":[0.9989575,0.00003088976,0.0001798908,0.0001331371,0.0006104182,0.00008812996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006263496,0.0008122828,0.9562672,0.00002737261,0.0001453241,0.000009569414,0.0004026363,0.02181472,0.0006599163,0.0002149634,0.0005098369,0.01287269],"study_design_scores_gemma":[0.00510958,0.00067915,0.4905051,0.00005728216,0.00002455994,0.00002079257,0.00003269758,0.5026463,0.0004724395,0.0001145899,0.0002709629,0.00006651977],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917574,0.00005582935,0.004595828,0.0002301478,0.0003320209,0.0007600225,0.002231202,0.000009844289,0.00002773632],"genre_scores_gemma":[0.9899011,0.000007329949,0.00766157,0.00002201243,0.00006659741,0.0001731225,0.001831865,0.000008671776,0.0003277696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4808316,"threshold_uncertainty_score":0.2649741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07265387944182489,"score_gpt":0.3964590250943912,"score_spread":0.3238051456525664,"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."}}