{"id":"W6976369928","doi":"10.6068/dp14ba8364c1f11","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: Without arthritis or rheumatism, Total, urban-rural status, Males | 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; Community health; American Community Survey","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":[0.002590655,0.002415053,0.002574802,0.007923198,0.003967164,0.0047877,0.005241658,0.00160487,0.1424147],"category_scores_gemma":[0.02256625,0.001792222,0.001959515,0.0456458,0.0007102391,0.002636988,0.002468244,0.003217088,0.08219431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05974231,"about_ca_system_score_gemma":0.1536292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947854,"about_ca_topic_score_gemma":0.9920983,"domain_scores_codex":[0.9950965,0.0003209222,0.0005564039,0.0005814806,0.002365517,0.001079208],"domain_scores_gemma":[0.9595593,0.00157112,0.0009606803,0.001122995,0.034801,0.001985046],"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":[0.00001559932,0.000005345096,0.0005860695,0.0001908504,0.00001015415,0.000004842076,0.00001749999,0.00006434833,0.000006594329,0.0002408838,0.9973807,0.001477194],"study_design_scores_gemma":[0.0001418383,0.00001099621,0.02204941,0.0008163088,0.00005297173,0.00002328857,0.0004333364,0.0002806365,0.0001196474,0.0005924021,0.975401,0.00007824392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003941442,0.0000490022,0.00002166552,0.0001258941,0.00002917192,0.00001858759,0.998434,0.00005405706,0.00122812],"genre_scores_gemma":[0.0007913922,0.000360793,0.0005163304,0.000253465,0.00002279508,0.00018008,0.9916627,0.0001460306,0.006066359],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1424147,"threshold_uncertainty_score":0.4764248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03858929732986305,"score_gpt":0.2641898192835328,"score_spread":0.2256005219536698,"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."}}