{"id":"W7097772516","doi":"","title":"GYNAECOLOGY Cervical Cancer in the Province of Manitoba: A 30-Year Experience","year":2015,"lang":"en","type":"article","venue":"","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cervical cancer; Incidence (geometry); Cancer registry; Cancer; Survival rate; Cervix; Carcinoma in situ; Cervical carcinoma","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":[0.0005352453,0.0002902785,0.0002020645,0.0008610709,0.001855979,0.0005844051,0.0005700181,0.0002735644,0.001108587],"category_scores_gemma":[0.0008746902,0.0002690558,0.0002267617,0.001775616,0.0006059602,0.0003284249,0.001090944,0.0003692151,0.0003105809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003825067,"about_ca_system_score_gemma":0.009639063,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6743212,"about_ca_topic_score_gemma":0.802267,"domain_scores_codex":[0.9996075,0.00006362331,0.00001922615,0.00002609119,0.0001085556,0.0001750081],"domain_scores_gemma":[0.9993398,0.00003740985,0.0001399947,0.00002498992,0.0002084106,0.0002495269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005173387,0.0001079023,0.9824914,0.0000618556,0.00002917166,0.002385331,0.005054008,0.00006627498,0.0006085357,0.00004824445,0.0008031021,0.008292341],"study_design_scores_gemma":[0.00001117713,0.0001760919,0.9800504,0.00007061758,0.00001855163,0.002814577,0.01142688,0.0001031257,0.0001313159,0.00002432798,0.005160186,0.00001274064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969177,0.001017049,0.00004308495,0.0003458886,0.00001477668,0.00002972347,0.0002990466,0.000005590513,0.001327075],"genre_scores_gemma":[0.9942946,0.003151328,0.0001614179,0.0002645506,0.00002074014,0.00002275317,0.0005580098,0.000005302617,0.001521164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3256788,"threshold_uncertainty_score":0.6551936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06431385552411802,"score_gpt":0.3771905848972021,"score_spread":0.3128767293730841,"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."}}