{"id":"W2889644645","doi":"10.23889/ijpds.v3i4.972","title":"Sociodemographic correlates of cervical cancer screening rates in Calgary, AB: Matched Trend analysis of 2006, 2011 and 2016","year":2018,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Demography; Medicine; Ethnic group; Cervical cancer; Trend analysis; Binomial regression; Pap test; Geography; Gerontology; Cervical cancer screening; Logistic regression; Cancer; 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":[0.0008636157,0.0002974674,0.0002534737,0.002300579,0.0008512208,0.0008564244,0.001137506,0.0003724608,0.002036233],"category_scores_gemma":[0.002005338,0.0003235487,0.0005858238,0.006328151,0.0004758158,0.0003818505,0.0008435172,0.0007201699,0.0003627227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008323914,"about_ca_system_score_gemma":0.007456764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9441732,"about_ca_topic_score_gemma":0.9595227,"domain_scores_codex":[0.9992766,0.00006297244,0.00006335331,0.0001525282,0.000236615,0.0002079989],"domain_scores_gemma":[0.9984112,0.0001115596,0.0004893541,0.00009877564,0.0006337622,0.0002553196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004813082,0.00001805109,0.9959567,0.00002632841,0.0000549655,0.00002161684,0.0001962772,0.0001601934,0.00006581264,0.0000420748,0.00113667,0.002273066],"study_design_scores_gemma":[0.000001714598,0.000009394626,0.9990459,0.000009561235,0.00001317941,0.0000121948,0.0003790664,0.0001547559,0.00001564605,0.00000490014,0.0003513141,0.000002335367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695087,0.0005801566,0.0001764816,0.0001947896,0.00002033969,0.00006298787,0.02770071,0.00003617844,0.001719659],"genre_scores_gemma":[0.9795582,0.0004293129,0.0003921101,0.00008487981,0.00001015249,0.00006106636,0.01814267,0.000009445032,0.001312152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05582678,"threshold_uncertainty_score":0.1123111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08673044249527231,"score_gpt":0.4460482696663771,"score_spread":0.3593178271711048,"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."}}