{"id":"W3174252437","doi":"10.2196/25455","title":"Clinician Perspectives on Using Computational Mental Health Insights From Patients’ Social Media Activities: Design and Qualitative Evaluation of a Prototype","year":2021,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Mental Health via Writing","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health","keywords":"Thematic analysis; Mental health; Social media; Mood; Focus group; Psychology; Qualitative research; Rating scale; Applied psychology; Medicine; Clinical psychology; Psychiatry; Computer science; Developmental psychology; World Wide Web","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":[0.04883702,0.001027399,0.0008069998,0.001494827,0.004449461,0.005337276,0.00346294,0.00311112,0.004781528],"category_scores_gemma":[0.08791378,0.0009415685,0.0009045902,0.0008531311,0.007278427,0.00461441,0.007239528,0.003169593,0.0009292836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005638662,"about_ca_system_score_gemma":0.006957322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002028276,"about_ca_topic_score_gemma":0.00328192,"domain_scores_codex":[0.9565208,0.0372311,0.00110494,0.001194091,0.002063907,0.001885248],"domain_scores_gemma":[0.9256892,0.056179,0.001687036,0.003551616,0.008443817,0.00444928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005199705,0.001652595,0.007612261,0.001934906,0.00002860219,0.003367425,0.9033296,0.0006184444,0.006823883,0.002921331,0.006698023,0.06449287],"study_design_scores_gemma":[0.0004604174,0.003372265,0.005831519,0.001435205,0.00009869903,0.001916925,0.9124063,0.002590016,0.005867268,0.003452162,0.06230281,0.0002664087],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9461104,0.0003597732,0.02892217,0.007048594,0.0002522135,0.008052719,0.0004916331,0.0004212105,0.008341391],"genre_scores_gemma":[0.9089772,0.0005020889,0.07184627,0.002565375,0.0000615142,0.01192163,0.0002620813,0.0002089161,0.003654867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04883702,"threshold_uncertainty_score":0.258278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2093061082390573,"score_gpt":0.527117515858158,"score_spread":0.3178114076191006,"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."}}