{"id":"W3034998356","doi":"10.33137/utjph.v1i1.33808","title":"Kijibashik: Turn it Around","year":2020,"lang":"en","type":"article","venue":"University of Toronto Journal of Public Health","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Public Health Ontario; University of Toronto","funders":"","keywords":"Indigenous; Criminal justice; Mental health; Criminology; Kinship; General partnership; Population; Focus group; Economic Justice; Mental illness; Political science; Sociology; Psychology; Psychiatry; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008863592,0.0005861053,0.000330611,0.0005703521,0.0196745,0.005168592,0.0009711157,0.002830704,0.04473977],"category_scores_gemma":[0.001675825,0.0003629622,0.0003885409,0.000659472,0.003788336,0.005683551,0.006793123,0.005990302,0.01194854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003398642,"about_ca_system_score_gemma":0.007545433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03860932,"about_ca_topic_score_gemma":0.09455236,"domain_scores_codex":[0.9993091,0.000133549,0.00001640425,0.00008173633,0.0001044797,0.0003547056],"domain_scores_gemma":[0.999061,0.00006235843,0.00005195877,0.00004993044,0.0002395123,0.0005352084],"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":[0.0002376356,0.0002350492,0.007367517,0.0009430771,0.00003159455,0.005128019,0.1626752,0.00008483564,0.005466163,0.04222362,0.6348966,0.1407107],"study_design_scores_gemma":[0.000006630928,0.00003191317,0.002432605,0.000279519,0.00001909597,0.0004951699,0.1282049,0.00003931748,0.0003876357,0.00237457,0.8657048,0.00002377124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08871699,0.01448127,0.003762777,0.2612239,0.03601914,0.0002724066,0.0004557118,0.001022882,0.5940449],"genre_scores_gemma":[0.3003436,0.009720515,0.004882203,0.06396706,0.001866545,0.0002000588,0.0003515394,0.001037042,0.6176315],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04473977,"threshold_uncertainty_score":0.1496694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05536172423273882,"score_gpt":0.3023795952172785,"score_spread":0.2470178709845397,"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."}}