{"id":"W6976684303","doi":"10.6068/dp14ba8724bd373","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: Normal weight, body mass index 18.5 to 24.9 (18 years and over), Urban core, 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; Official statistics; Population; Demographic statistics; Population statistics; Socioeconomic status; Rural area; 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":[0.002798793,0.002456608,0.002826298,0.007443714,0.004216132,0.004968293,0.005548928,0.001608471,0.1296273],"category_scores_gemma":[0.02349709,0.001845962,0.002125015,0.0456793,0.0007521947,0.002529066,0.002392579,0.003319196,0.07482947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06403688,"about_ca_system_score_gemma":0.1679523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957795,"about_ca_topic_score_gemma":0.9935602,"domain_scores_codex":[0.9950036,0.0003689054,0.0005816293,0.0005852183,0.002386947,0.001073583],"domain_scores_gemma":[0.9559358,0.001770117,0.0009952361,0.00119972,0.03799991,0.002099321],"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":[0.00001695887,0.000005473277,0.0005993492,0.0001859552,0.00001124828,0.000004938511,0.00001753106,0.00006917271,0.00000616412,0.000235964,0.997419,0.001428279],"study_design_scores_gemma":[0.000173098,0.0000121136,0.0223947,0.0009303699,0.00006622749,0.00002611953,0.000487811,0.0003511207,0.0001282804,0.0006716795,0.9746675,0.00009090619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004172174,0.00005465605,0.00002419293,0.0001491497,0.00003165033,0.00001860656,0.9984218,0.00005764677,0.001200619],"genre_scores_gemma":[0.0009464467,0.0004254117,0.0006407596,0.0003080626,0.0000248007,0.0002060562,0.9910098,0.0001671022,0.006271527],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1296273,"threshold_uncertainty_score":0.4646222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0389688939204034,"score_gpt":0.2648282624090056,"score_spread":0.2258593684886022,"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."}}