{"id":"W6939259562","doi":"10.6068/dp14ba8cd1fd346","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Society and Community - Rural Canada | Country: Canada | Table: Canadian Community Health Survey (CCHS 2.1) urban-rural profile, by sex | Variable: Total population for the variable asthma, Rural area outside census metropolitan area and census agglomeration, Males | Units: , 2003. 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; Population; Official statistics; Rural area; Population statistics; Socioeconomic status; American Community Survey; Social 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":[0.002843642,0.002531848,0.002865879,0.008293355,0.004245218,0.004978104,0.005681514,0.001608597,0.1296516],"category_scores_gemma":[0.02377064,0.001894308,0.002218742,0.04973749,0.0007391023,0.002613516,0.002440788,0.003342799,0.07262114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0668233,"about_ca_system_score_gemma":0.1692224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958236,"about_ca_topic_score_gemma":0.9934232,"domain_scores_codex":[0.9946976,0.0003759276,0.0006072005,0.0006024951,0.002562064,0.00115465],"domain_scores_gemma":[0.9546065,0.001783114,0.001049763,0.00123893,0.03915705,0.002164694],"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":[0.00001750648,0.000006107608,0.0006635123,0.0001958355,0.00001227711,0.000005431825,0.00001849081,0.00007506825,0.000006564284,0.0002568224,0.9971997,0.001542614],"study_design_scores_gemma":[0.0001654997,0.00001203276,0.02363222,0.0009127639,0.00006611457,0.00002608474,0.0004773237,0.000381186,0.0001343513,0.0006847261,0.9734177,0.00008999018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004251616,0.00005380002,0.00002420389,0.0001379886,0.00002927769,0.00001865609,0.998456,0.00005892249,0.001178693],"genre_scores_gemma":[0.0009340243,0.0004132687,0.0006490104,0.0002681688,0.00002352025,0.0001998322,0.9914909,0.0001645522,0.005856739],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1296516,"threshold_uncertainty_score":0.4848392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04316026173724868,"score_gpt":0.268967796314279,"score_spread":0.2258075345770303,"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."}}