{"id":"W2561315343","doi":"10.17269/cjph.107.5539","title":"A screening mechanism to recognize and support at-risk Aboriginal children","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"Canadian Institutes of Health Research","keywords":"Triage; Mental health; Medicine; Population; Risk assessment; Environmental health; Medical emergency; Psychiatry; Computer security; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.005917615,0.0005720974,0.000384056,0.002815996,0.003909582,0.001577614,0.002286843,0.002520207,0.02978819],"category_scores_gemma":[0.01978149,0.000489767,0.0005503936,0.0006646389,0.00078797,0.001477299,0.003336862,0.001248957,0.004495444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001902504,"about_ca_system_score_gemma":0.01319224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01452556,"about_ca_topic_score_gemma":0.01673885,"domain_scores_codex":[0.9972631,0.001220985,0.0002442021,0.0003301692,0.0003551929,0.0005863654],"domain_scores_gemma":[0.9835023,0.005690196,0.002004933,0.00134589,0.002923383,0.004533317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001227574,0.01236462,0.1849592,0.0004604028,0.000110192,0.002818327,0.007887244,0.001135905,0.009206625,0.007836419,0.1646172,0.6073763],"study_design_scores_gemma":[0.004507775,0.01500492,0.5192259,0.003522732,0.0009117752,0.008582077,0.03362015,0.03540007,0.02605193,0.01610229,0.336125,0.0009453461],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6894118,0.001171293,0.07595409,0.06319292,0.003518478,0.03010241,0.002703281,0.01100549,0.1229403],"genre_scores_gemma":[0.8071066,0.000743342,0.1188252,0.009791167,0.0009084659,0.01042922,0.001005027,0.0001328087,0.05105824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9854745,"threshold_uncertainty_score":0.09965146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02749148088747635,"score_gpt":0.3144311411128681,"score_spread":0.2869396602253918,"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."}}