{"id":"W7115033255","doi":"","title":"The needs of most or the most in need? Exploring how system reform initiatives assess and meet youth mental health needs at varying levels of severity","year":2025,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Context (archaeology); Needs assessment; Mental illness; Psychological intervention; Government (linguistics)","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":[0.01305542,0.0004678031,0.001009287,0.003265362,0.004654964,0.008379158,0.001972403,0.002058606,0.006832246],"category_scores_gemma":[0.03055012,0.0006188284,0.0009979483,0.00344834,0.004172522,0.01021256,0.008611016,0.002833508,0.0006770355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01373855,"about_ca_system_score_gemma":0.03482719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07825819,"about_ca_topic_score_gemma":0.1476338,"domain_scores_codex":[0.9848666,0.009048267,0.000580162,0.00110272,0.001823615,0.002578591],"domain_scores_gemma":[0.9885848,0.004309734,0.001608785,0.0008765113,0.002240916,0.002379265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002225425,0.0008888666,0.2894766,0.003508331,0.0005221713,0.000518561,0.2815311,0.002082168,0.001626529,0.06311425,0.02405533,0.3324536],"study_design_scores_gemma":[0.0001283869,0.0004944886,0.259206,0.006176182,0.0006632775,0.0003311877,0.5653521,0.006175784,0.001807046,0.06585298,0.09361637,0.0001961899],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8006424,0.005768146,0.005998344,0.1239465,0.0003583623,0.0007695131,0.001047372,0.0001525734,0.0613169],"genre_scores_gemma":[0.9835125,0.002848829,0.005358729,0.004188602,0.00006337847,0.0004769961,0.0002131875,0.00004055573,0.003297233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07825819,"threshold_uncertainty_score":0.1556054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.107473322029344,"score_gpt":0.3381713663134787,"score_spread":0.2306980442841347,"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."}}