{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002679094,0.0006931201,0.0007144085,0.0009619329,0.0004184563,0.0010539,0.001132997,0.000648864,0.002352443],"category_scores_gemma":[0.00613371,0.0003376376,0.0009043601,0.0005207465,0.0003145525,0.0003672258,0.0006001762,0.001061913,0.0005363561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00266845,"about_ca_system_score_gemma":0.003248004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1011845,"about_ca_topic_score_gemma":0.06467465,"domain_scores_codex":[0.9995872,0.0001447707,0.00002887279,0.0001074338,0.00007100095,0.00006072292],"domain_scores_gemma":[0.9981499,0.001123543,0.0002092931,0.00005389515,0.0003527359,0.0001107239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006122401,0.0002309152,0.1958704,0.00008391149,0.0002963094,0.0003624237,0.0001801612,0.7249771,0.0005790638,0.002066168,0.007676578,0.06706473],"study_design_scores_gemma":[0.00002386025,0.00004721065,0.006137356,0.00001117089,0.00003302653,0.0000385965,0.00002073998,0.9924108,0.0000909185,0.0006809173,0.0004990815,0.000006345721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6542533,0.0009868556,0.3209357,0.005044107,0.0002698459,0.0007100023,0.01035431,0.001840521,0.005605333],"genre_scores_gemma":[0.9582915,0.0002057602,0.03474312,0.0001612994,0.00005139907,0.0003297672,0.003791314,0.00004312138,0.002382811],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1011845,"threshold_uncertainty_score":0.201191,"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."}}