{"id":"W4281611572","doi":"10.2196/38162","title":"Digital Screening and Automated Resource Identification System to Address COVID-19–Related Behavioral Health Disparities: Feasibility Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Mental Health; Rush University; RTI International","keywords":"Mental health; Context (archaeology); Resource (disambiguation); Medicine; Psychology; Nursing; Medical education; Computer science; Psychiatry","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":[0.01407959,0.0007041365,0.0006269854,0.00174873,0.001839434,0.001253321,0.001274689,0.001292492,0.00467933],"category_scores_gemma":[0.01381091,0.0008064417,0.001171439,0.000760874,0.0008111298,0.001831291,0.002778698,0.001472435,0.0009855739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001769045,"about_ca_system_score_gemma":0.009400797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0128679,"about_ca_topic_score_gemma":0.01799927,"domain_scores_codex":[0.9921225,0.004183672,0.0005360059,0.0004930542,0.00117946,0.001485273],"domain_scores_gemma":[0.9932992,0.002060839,0.0007661217,0.000517069,0.001676339,0.001680376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006194178,0.2281229,0.5202618,0.001479253,0.0002536002,0.001082766,0.01379128,0.0006727369,0.003599695,0.001294876,0.007705222,0.2155417],"study_design_scores_gemma":[0.01194084,0.1775908,0.7385952,0.001019679,0.0004650952,0.001183546,0.03342081,0.008535073,0.003686404,0.001060284,0.02224859,0.0002537263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609948,0.00009997471,0.002016644,0.0007681086,0.00005554808,0.03193282,0.0008759553,0.00006223944,0.003193972],"genre_scores_gemma":[0.9285554,0.0003386463,0.02329593,0.001784877,0.00009027063,0.04313423,0.001231709,0.00002859035,0.001540218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01407959,"threshold_uncertainty_score":0.07446086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1985956577633095,"score_gpt":0.5539239103887874,"score_spread":0.3553282526254779,"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."}}