{"id":"W6938682980","doi":"10.6068/dp14ba8c9808960","title":"Most Recent Data (2000). Statistics Canada. CANSIM: Aboriginal People | Country: Canada | Table: Canadian Community Health Survey (CCHS 1.1 and 2.1) off-reserve Aboriginal profile | Variable: Contact with health professionals about mental health in past 12 months, Females, Total off-reserve population | Units: , 2000. 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; Population; Official statistics; Socioeconomic status; Social statistics; Economic statistics; Community health; Population 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":[0.002835465,0.002278844,0.002823284,0.007701366,0.004050219,0.004842313,0.005531533,0.001652058,0.1272999],"category_scores_gemma":[0.02376547,0.001894639,0.002071038,0.04678648,0.0007606394,0.002619925,0.002536891,0.003318141,0.07854521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05321273,"about_ca_system_score_gemma":0.1400679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940287,"about_ca_topic_score_gemma":0.9914117,"domain_scores_codex":[0.9952761,0.0003527994,0.0005734992,0.0005771633,0.002244193,0.0009762465],"domain_scores_gemma":[0.9597216,0.001869715,0.001031002,0.001398562,0.03406994,0.00190917],"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":[0.00001620871,0.000005679155,0.0005654368,0.0002096534,0.00001221053,0.000004650667,0.00002129666,0.00006495477,0.000006073108,0.0002329276,0.9976668,0.001194193],"study_design_scores_gemma":[0.0001792026,0.00001131944,0.0207681,0.000943533,0.00006290196,0.00002230514,0.000525315,0.0002982377,0.0001281007,0.0006525087,0.9763189,0.00008952934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000323202,0.00003347677,0.00001677035,0.00009961241,0.0000246894,0.00001478315,0.9988965,0.00004639389,0.0008354365],"genre_scores_gemma":[0.00062182,0.0002395777,0.0004369977,0.0001799006,0.00001751078,0.0001667403,0.9943056,0.0001159004,0.003915893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1272999,"threshold_uncertainty_score":0.4258606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03714097977953031,"score_gpt":0.3125669157941089,"score_spread":0.2754259360145787,"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."}}