{"id":"W7155658632","doi":"","title":"Learning from What Works: Leveraging local solutions to make better places - Mental Health","year":2025,"lang":"en","type":"article","venue":"TSpace","topic":"Community Health and Development","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Work (physics); Public health; Qualitative research; Context (archaeology); Matching (statistics)","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":[0.009019022,0.0009549551,0.0006814597,0.001403401,0.01699711,0.02430162,0.003946681,0.004388485,0.03032789],"category_scores_gemma":[0.01263729,0.0005187594,0.0008750007,0.0025453,0.01347225,0.01500846,0.01850722,0.006954928,0.01009792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01562498,"about_ca_system_score_gemma":0.06403685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1042556,"about_ca_topic_score_gemma":0.3579766,"domain_scores_codex":[0.9930164,0.003537542,0.0001399396,0.0004671658,0.00136948,0.001469457],"domain_scores_gemma":[0.9928144,0.001768959,0.0003080128,0.0005782008,0.001255105,0.003275378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000032465,0.0003248868,0.003439176,0.00138809,0.00004314997,0.0002686221,0.06504264,0.000909999,0.0007979719,0.1271582,0.4196694,0.3809253],"study_design_scores_gemma":[0.00002501859,0.0001038588,0.002079958,0.001861704,0.00004817339,0.00009202873,0.1094638,0.0005559584,0.0007490054,0.06686407,0.8180907,0.00006564057],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02138759,0.008155367,0.03260219,0.4560834,0.003457183,0.0005441629,0.0006267997,0.001793614,0.4753497],"genre_scores_gemma":[0.5473416,0.03551167,0.1312173,0.07461704,0.001539971,0.001415909,0.001401051,0.002169134,0.2047863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1042556,"threshold_uncertainty_score":0.2072976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08229911391352289,"score_gpt":0.4453465152826663,"score_spread":0.3630474013691434,"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."}}