{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001711428,0.0001312556,0.0002539551,0.001539949,0.0008691893,0.0007743207,0.0005408674,0.0005847115,0.001566255],"category_scores_gemma":[0.004246998,0.0003952813,0.0003619137,0.001701575,0.0005479136,0.001263644,0.002022683,0.001144296,0.0003762191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535898,"about_ca_system_score_gemma":0.001609679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03598738,"about_ca_topic_score_gemma":0.06031366,"domain_scores_codex":[0.998772,0.0003624886,0.0002185062,0.0001039943,0.0003358145,0.0002073342],"domain_scores_gemma":[0.9959307,0.0004830264,0.00171893,0.0001173296,0.0007142675,0.001035824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003205097,0.0002082445,0.9826294,0.0001425563,0.0000330785,0.0001287271,0.007455788,0.0000403888,0.0002398018,0.00004482902,0.001991915,0.007053188],"study_design_scores_gemma":[0.000006208361,0.000114601,0.9868803,0.00006328405,0.000008480459,0.0001478566,0.01161454,0.0001458072,0.00004914092,0.00002319219,0.0009389736,0.000007626931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966385,0.0001154957,0.0000644449,0.0006312985,0.000006264985,0.0001501277,0.001424488,0.00000670026,0.0009625472],"genre_scores_gemma":[0.9966788,0.0004513621,0.0004031905,0.0006827269,0.00001957815,0.0002821453,0.001083068,0.0000039281,0.0003952254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03598738,"threshold_uncertainty_score":0.07155579,"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."}}