{"id":"W7098297161","doi":"","title":"GYNAECOLOGY Addressing Wait Times for Endometrial Cancer Surgery in Ontario","year":2014,"lang":"en","type":"article","venue":"","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Endometrial cancer; Cancer surgery; Population; Univariate analysis; Cancer; Gynecologic surgical procedures; Hospital admission; Gynecologic oncology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003837177,0.0000817333,0.0001142479,0.0004217876,0.0009063563,0.0003861475,0.0004021004,0.0001315016,0.003261178],"category_scores_gemma":[0.002783821,0.0001137648,0.0002536637,0.001224879,0.0002398597,0.0001929267,0.0004602631,0.0002189407,0.0001085964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01402713,"about_ca_system_score_gemma":0.02327556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9468051,"about_ca_topic_score_gemma":0.9821567,"domain_scores_codex":[0.9996992,0.00002917737,0.00002203644,0.00003287051,0.0001094225,0.0001073276],"domain_scores_gemma":[0.9978097,0.0002560201,0.001017731,0.00003083962,0.000440124,0.0004456367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001066824,0.0000221414,0.9769388,0.0003049492,0.00004974273,0.0002146294,0.001185515,0.0002608401,0.0003533788,0.0003042895,0.003093376,0.0171656],"study_design_scores_gemma":[0.000009045209,0.00002686184,0.9952632,0.00007104099,0.0000221295,0.00007202263,0.000656578,0.0002141218,0.00005221795,0.00003164199,0.003577491,0.000003542546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983541,0.003505956,0.0002373734,0.002226653,0.00003320949,0.00004690723,0.00422022,0.00002387881,0.00616491],"genre_scores_gemma":[0.9963506,0.001132084,0.0002923068,0.0001423889,0.00001603983,0.00002440028,0.0007841621,0.000004244258,0.001253733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05319488,"threshold_uncertainty_score":0.1070163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1825350960181059,"score_gpt":0.3715998705788906,"score_spread":0.1890647745607847,"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."}}