{"id":"W4386220541","doi":"10.36315/2023v2end007","title":"DIGITAL TECHNOLOGIES, MENTAL HEALTH CHALLENGES AND ACADEMIC LANGUAGE DEVELOPMENT OF INDIGENOUS YOUTH: A RETROSPECTIVE","year":2023,"lang":"en","type":"article","venue":"Education and new developments","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Indigenous; Mental health; Computer science; Psychology; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.000728747,0.0002264719,0.000465956,0.001431358,0.00338882,0.00133413,0.0003533417,0.0005148462,0.002158387],"category_scores_gemma":[0.001645123,0.0004507201,0.0004618664,0.001148251,0.001074042,0.0009987334,0.002097669,0.001548286,0.000556363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001211643,"about_ca_system_score_gemma":0.001965923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04762407,"about_ca_topic_score_gemma":0.068721,"domain_scores_codex":[0.9995747,0.00007469722,0.00004152874,0.00004697886,0.000100584,0.0001614882],"domain_scores_gemma":[0.9991209,0.0001398235,0.0001914301,0.00005720323,0.0002870928,0.0002036993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005543771,0.0006279672,0.8803237,0.0001839742,0.0000264492,0.005058179,0.0993437,0.00003275245,0.000444796,0.000286009,0.0006897505,0.01292716],"study_design_scores_gemma":[0.000003121681,0.0005352031,0.6993536,0.0002443051,0.00007912177,0.005778356,0.2869227,0.00007578925,0.0004191406,0.0001373437,0.006418185,0.00003303087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983523,0.0002633204,0.00005061313,0.00008204181,0.000004246358,0.00004380828,0.000137394,0.000001919026,0.001064332],"genre_scores_gemma":[0.9965926,0.001146347,0.0001298222,0.0001372611,0.00001258361,0.00006329884,0.0002080173,0.000004966248,0.001705008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04762407,"threshold_uncertainty_score":0.09469378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08173215372621442,"score_gpt":0.3751598594245705,"score_spread":0.2934277056983561,"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."}}