{"id":"W3197538557","doi":"10.1186/s12913-021-06892-5","title":"Population-based implementation of behavioral health detection and treatment into primary care: early data from New York state","year":2021,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"New York State Office of Mental Health","keywords":"Medicaid; Medicine; Health informatics; Receipt; Population; Quarter (Canadian coin); Family medicine; Health care; Mental health; Public health; Nursing; Psychiatry; Environmental health; World Wide Web","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":[0.00377778,0.0003505661,0.0004243489,0.00211615,0.001010696,0.001465569,0.001301461,0.0008847597,0.002860848],"category_scores_gemma":[0.01024898,0.0005993439,0.0007552023,0.003425104,0.0005571717,0.001705173,0.002637803,0.001916327,0.000440275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004730315,"about_ca_system_score_gemma":0.005903847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4588515,"about_ca_topic_score_gemma":0.5720558,"domain_scores_codex":[0.997024,0.0007402708,0.0003979135,0.0005827144,0.0007582394,0.0004968199],"domain_scores_gemma":[0.9899687,0.002401225,0.003338099,0.0008577441,0.002308084,0.001126027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006213458,0.000143828,0.9932753,0.00004801415,0.00005350142,0.00003830059,0.0008443442,0.000106818,0.00008135516,0.00006994364,0.00200024,0.003276125],"study_design_scores_gemma":[0.000008380022,0.00003023679,0.9985279,0.00003575229,0.00001244981,0.00001798731,0.0006239173,0.0002339177,0.00002581633,0.00001548206,0.0004629116,0.000005179441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788091,0.0004539908,0.0004740802,0.0007804069,0.00003372227,0.0002409173,0.01727323,0.00002998623,0.001904669],"genre_scores_gemma":[0.9825563,0.0004297412,0.0009453756,0.0004128896,0.00003025203,0.0006174823,0.01394575,0.00002037556,0.001041867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4588515,"threshold_uncertainty_score":0.9123614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6089452009740461,"score_gpt":0.6896568185618591,"score_spread":0.08071161758781298,"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."}}