{"id":"W4388555620","doi":"10.1787/9789264300477-graph19-en","title":"Percentage of Indigenous and non-Indigenous adults (15 years and older) who participated in VET, most-populated Canadian metropolitan areas, 2016","year":2018,"lang":"en","type":"other","venue":"OECD reviews on local job creation","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Indigenous; Geography; Gerontology; Demography; Socioeconomics; Medicine; Sociology; Archaeology","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":[0.0004889675,0.0003746947,0.0003861725,0.00238442,0.00166171,0.0008535946,0.001425077,0.0004625944,0.008287027],"category_scores_gemma":[0.001791588,0.0002468471,0.0007180356,0.004622734,0.0003878126,0.0005585377,0.0007622024,0.000603544,0.001298902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008205331,"about_ca_system_score_gemma":0.02962747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9908557,"about_ca_topic_score_gemma":0.9945669,"domain_scores_codex":[0.9994237,0.00001827875,0.00003725282,0.00004759748,0.0002223883,0.0002506457],"domain_scores_gemma":[0.9988127,0.00003411706,0.0001163113,0.00001556921,0.0007092601,0.0003120478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004467835,0.0001050466,0.6714123,0.003223701,0.000269227,0.000384946,0.005304813,0.0004270064,0.0007069355,0.001386933,0.231605,0.08472727],"study_design_scores_gemma":[0.00001662473,0.00002071054,0.9604557,0.0005069663,0.00006476369,0.0001153663,0.005970185,0.0000832271,0.0001014455,0.00005327195,0.03259071,0.00002099732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4997491,0.01796351,0.0003248843,0.002463662,0.0004686019,0.0003833379,0.4099972,0.0002348165,0.06841482],"genre_scores_gemma":[0.8009421,0.02950058,0.0008299107,0.001439278,0.0001518436,0.00044901,0.08895405,0.00006523807,0.07766806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009144306,"threshold_uncertainty_score":0.05953407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014994406792971,"score_gpt":0.3354190349034281,"score_spread":0.3152690908354984,"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."}}