{"id":"W6901687564","doi":"10.6068/dp14ba87712b613","title":"Most Recent Data (2000). Statistics Canada. CANSIM: Society and Community - Rural Canada | Country: Canada | Table: Canadian Community Health Survey (CCHS 1.1) urban-rural profile, by sex | Variable: Pap smear, within last 3 years (18 to 69 years), Total, urban-rural status, Females | Units: , 2000. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-189.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Population; Socioeconomic status; Rural area; Population statistics; Demographic statistics; Social statistics; Health statistics","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":[0.002949947,0.00244362,0.002606427,0.00791417,0.00401666,0.004844787,0.005304974,0.001601999,0.1374401],"category_scores_gemma":[0.02418191,0.00189079,0.002024594,0.0461205,0.0007051307,0.002607119,0.002349392,0.003308741,0.07457766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06531076,"about_ca_system_score_gemma":0.1671341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952374,"about_ca_topic_score_gemma":0.9927177,"domain_scores_codex":[0.9945235,0.0003773282,0.0006228645,0.0005961407,0.002732873,0.0011473],"domain_scores_gemma":[0.9541872,0.001841118,0.001044913,0.001196731,0.03952078,0.002209262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001733225,0.000006395349,0.0006240301,0.0001969312,0.00001080686,0.000005112461,0.00001813097,0.00007366933,0.00000685625,0.0002459343,0.9971437,0.001651044],"study_design_scores_gemma":[0.0001560573,0.00001270105,0.0237041,0.0008560886,0.00005900215,0.00002346156,0.0004444114,0.0003302666,0.0001268775,0.0006081236,0.9735942,0.00008476053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004697753,0.00005494462,0.00002575291,0.0001492371,0.00003299487,0.00002275072,0.9981862,0.00006085668,0.001420266],"genre_scores_gemma":[0.0009023467,0.0004137541,0.0006387554,0.0002949779,0.00002434729,0.0002081401,0.9902241,0.0001621342,0.007131485],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1374401,"threshold_uncertainty_score":0.473865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04660374674165297,"score_gpt":0.2704481196278303,"score_spread":0.2238443728861773,"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."}}