{"id":"W2068954940","doi":"10.1007/s10488-006-0103-x","title":"A Population-based Needs Assessment for Mental Health Services","year":2006,"lang":"en","type":"article","venue":"Administration and Policy in Mental Health and Mental Health Services Research","topic":"Psychiatric care and mental health services","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fraser Health; University of British Columbia","funders":"","keywords":"Needs assessment; Mental health; Assertive community treatment; Assertiveness; Nursing; Service (business); Data collection; Population; Business; Health care; Special needs; Medicine; Psychology; Environmental health; Marketing; Mental illness; 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":[0.00655611,0.0007144051,0.0009207592,0.008590101,0.001867668,0.001366856,0.001829407,0.001022011,0.005527781],"category_scores_gemma":[0.01937777,0.000497905,0.002882762,0.005026782,0.0003125509,0.002755118,0.003772434,0.001117736,0.0009852528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004553835,"about_ca_system_score_gemma":0.00498387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02184317,"about_ca_topic_score_gemma":0.02815572,"domain_scores_codex":[0.9966002,0.001086878,0.000603926,0.0001803569,0.00124133,0.000287269],"domain_scores_gemma":[0.9948554,0.001139668,0.0006729316,0.0002597395,0.00266109,0.0004111564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001139489,0.001733193,0.8796454,0.000596182,0.0004862611,0.0004568667,0.005285241,0.004229015,0.0009188239,0.002409156,0.01666842,0.08643191],"study_design_scores_gemma":[0.0002782028,0.00184617,0.9626123,0.0001563666,0.00033772,0.0005485418,0.01198259,0.0107514,0.0005614837,0.002486702,0.00832839,0.0001102735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9429763,0.0003045913,0.01008244,0.001496578,0.00006763819,0.008311416,0.01914929,0.0002403773,0.01737124],"genre_scores_gemma":[0.9471813,0.0002129002,0.02476636,0.0003138633,0.00003353966,0.009582498,0.01525389,0.00004283055,0.002612788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02184317,"threshold_uncertainty_score":0.04343206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03976819358986025,"score_gpt":0.5081517487571584,"score_spread":0.4683835551672981,"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."}}