{"id":"W4403330054","doi":"10.2196/60589","title":"Use of AI in Mental Health Care: Community and Mental Health Professionals Survey","year":2024,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Thematic analysis; Demographics; Descriptive statistics; Health care; Medicine; Psychology; Medical education; Psychiatry; Qualitative research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002451731,0.0002479688,0.0006570132,0.0003166834,0.0006738237,0.00003768349,0.0001029691,0.0001139634,0.00006190897],"category_scores_gemma":[0.00004399603,0.0002261843,0.00007038919,0.0005311838,0.0001554167,0.0002822011,0.0001107662,0.0009876571,0.00001968076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002414484,"about_ca_system_score_gemma":0.003743912,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.115808,"about_ca_topic_score_gemma":0.03654739,"domain_scores_codex":[0.995714,0.001510134,0.001244709,0.0003847248,0.0004805666,0.000665881],"domain_scores_gemma":[0.9984517,0.0002617757,0.0002431967,0.0003536009,0.00008158883,0.0006081205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001068969,0.002451601,0.201899,0.009121779,0.00005352212,0.000003552135,0.2868778,7.382568e-7,0.0001956186,0.0004051334,0.2429621,0.2549601],"study_design_scores_gemma":[0.001012618,0.009397692,0.7458233,0.01218411,0.000008271149,0.0001893391,0.1555279,0.0008160907,0.001534751,0.0002541772,0.07258391,0.0006677551],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.863258,0.009219134,0.000005131765,0.1222952,0.001323255,0.00313586,0.0006706064,0.00006597426,0.00002683109],"genre_scores_gemma":[0.9759981,0.002747875,0.0002852343,0.01777371,0.0001031764,0.00008574517,0.002687047,0.00004081392,0.0002782958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5439243,"threshold_uncertainty_score":0.9810331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2575208621242819,"score_gpt":0.5445872176633811,"score_spread":0.2870663555390992,"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."}}