{"id":"W6958121257","doi":"10.6068/dp14ba7f764cf52","title":"Trend 2000 - 2003. Statistics Canada. CANSIM: Aboriginal People | Country: Canada | Table: Canadian Community Health Survey (CCHS 1.1 and 2.1) off-reserve Aboriginal profile | Variable: With asthma, Males, Non-Aboriginal | Units: , 2000-2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-001.","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; Population statistics; Economic statistics; Social statistics; 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":[0.002566071,0.00224982,0.002806765,0.007665563,0.00335947,0.0046667,0.005341067,0.00146143,0.1093037],"category_scores_gemma":[0.01881567,0.001864311,0.00224226,0.03795259,0.0006418157,0.00240275,0.00233537,0.003025494,0.06561073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05056981,"about_ca_system_score_gemma":0.1398029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944504,"about_ca_topic_score_gemma":0.9919155,"domain_scores_codex":[0.9961064,0.0003214526,0.0004888342,0.0005119136,0.001752422,0.0008188189],"domain_scores_gemma":[0.9714934,0.001092286,0.0008666466,0.001109816,0.02391505,0.001522821],"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":[0.000025079,0.000005124263,0.0007488953,0.0002589962,0.00002125865,0.000006518856,0.00002464067,0.00008910242,0.000009223269,0.0003661418,0.9964725,0.001972647],"study_design_scores_gemma":[0.0001715106,0.00001184006,0.01905796,0.001006881,0.0000786528,0.00003205446,0.0004422588,0.0004644009,0.0001465583,0.0008491672,0.9776439,0.00009470823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004742355,0.00006164756,0.00003945335,0.0001457853,0.00003988286,0.00002213218,0.9982988,0.00009804941,0.001246772],"genre_scores_gemma":[0.0009332058,0.0003868235,0.0007705485,0.0002508623,0.00002390321,0.000208213,0.9918424,0.0002245753,0.005359479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1093037,"threshold_uncertainty_score":0.3669114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0203849927894075,"score_gpt":0.2722672775956139,"score_spread":0.2518822848062063,"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."}}