{"id":"W4285304007","doi":"10.1007/978-3-030-97208-0_4","title":"Screening and Assessment of Mental Health Problems in Students: Using an Integrated Assessment-to-Intervention Approach to Enhance Integrated Care","year":2022,"lang":"en","type":"book-chapter","venue":"Plenum series on human exceptionality","topic":"Child and Adolescent Psychosocial and Emotional Development","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Prioritization; Intervention (counseling); Identification (biology); Mental health; Resource allocation; Service (business); Resource (disambiguation); Medical education; Psychology; Process management; Nursing; Medicine; Computer science; Psychiatry; Engineering; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008038188,0.0004786828,0.0006976525,0.0004061365,0.0004268721,0.00007632394,0.0003551005,0.0001643673,0.002396568],"category_scores_gemma":[0.000004335743,0.0005023483,0.0001621151,0.0001602062,0.00010393,0.000174675,0.0002459557,0.0007906043,0.000004855793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286079,"about_ca_system_score_gemma":0.0001935358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00114184,"about_ca_topic_score_gemma":0.001070808,"domain_scores_codex":[0.9964078,0.0003305473,0.001029563,0.001002683,0.0008755524,0.0003538737],"domain_scores_gemma":[0.9988071,0.00001771287,0.0004835458,0.0003186938,0.0001561122,0.0002168148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002042423,0.01902072,0.1365606,0.004867038,0.002204366,0.00002027061,0.06991412,0.0026929,0.0008567639,0.6476769,0.006251355,0.1078925],"study_design_scores_gemma":[0.001776527,0.002164199,0.8919592,0.004398387,0.0000418286,0.0000112891,0.01133092,0.00002625015,0.000003623825,0.002325856,0.08483632,0.001125615],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8114936,0.0009499101,0.01188331,0.0020188,0.003198308,0.01004786,0.01001509,0.0003247496,0.1500684],"genre_scores_gemma":[0.9413817,0.0001368683,0.00841213,0.001062659,0.0003268158,0.0003184998,0.01857978,0.0001401355,0.02964139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7553985,"threshold_uncertainty_score":0.9997428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09079636325506882,"score_gpt":0.4240907086291341,"score_spread":0.3332943453740653,"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."}}