{"id":"W6957638481","doi":"10.6068/dp14ba84615ee10","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: 1 or more two-week disability days, 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; Socioeconomic status; Population; Rural area; Population statistics; Social statistics; Demographic 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":[0.002754168,0.00247176,0.002592301,0.007768064,0.003962055,0.004991272,0.005392707,0.001676676,0.140548],"category_scores_gemma":[0.02446324,0.001918913,0.002028949,0.04684532,0.0007549518,0.002713586,0.002433989,0.003327127,0.08134153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06084413,"about_ca_system_score_gemma":0.1561339,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949628,"about_ca_topic_score_gemma":0.9922316,"domain_scores_codex":[0.9948153,0.00034499,0.0005719516,0.0005880326,0.002563738,0.001116036],"domain_scores_gemma":[0.9551193,0.001788453,0.00100563,0.001240548,0.0387598,0.00208633],"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":[0.00001663777,0.000005842145,0.0005682677,0.0001894004,0.00001023825,0.000004884745,0.00001724788,0.00007275664,0.000006619126,0.0002415305,0.9973881,0.001478505],"study_design_scores_gemma":[0.0001558538,0.00001152579,0.02104991,0.0008374611,0.00005512425,0.0000218139,0.0004236044,0.0003095517,0.0001266808,0.0006164727,0.9763086,0.00008335197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003752725,0.00004649188,0.0000215003,0.000130436,0.00002876433,0.00001758392,0.9984855,0.00005635897,0.001175737],"genre_scores_gemma":[0.000781789,0.0003539948,0.0005468103,0.0002539402,0.000022182,0.0001754785,0.9918153,0.0001560249,0.005894467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.140548,"threshold_uncertainty_score":0.4701798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0558840162766753,"score_gpt":0.2867316673441953,"score_spread":0.2308476510675199,"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."}}