{"id":"W4223426931","doi":"10.2196/21111","title":"Improving Web-Based Treatment Intake for Multiple Mental and Substance Use Disorders by Text Mining and Machine Learning: Algorithm Development and Validation","year":2022,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Mental Health via Writing","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Machine learning; Computer science; Artificial intelligence; Algorithm; Data mining","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0005392968,0.0002765589,0.0002987032,0.0001221418,0.001592242,0.00005222015,0.00005963599,0.00005001735,0.00006361047],"category_scores_gemma":[0.000006107816,0.0002986004,0.00002717123,0.000113113,0.00006803888,0.000137925,0.00007859871,0.0001674827,0.000001161502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009715422,"about_ca_system_score_gemma":0.0001061283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001505078,"about_ca_topic_score_gemma":0.00152876,"domain_scores_codex":[0.9977852,0.0002756571,0.00049684,0.0006442732,0.0002248912,0.0005731918],"domain_scores_gemma":[0.999048,0.0002333366,0.000305892,0.0001210097,0.000009765577,0.0002819773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004529099,0.000518123,0.1713644,0.0002269942,0.00003021133,0.000001496938,0.02238039,0.000001565668,0.0006457371,0.00001367169,0.0005607025,0.8038038],"study_design_scores_gemma":[0.08453381,0.01994772,0.1380459,0.0004783512,0.0000790273,0.0003143494,0.1790788,0.1492283,0.0055247,0.00002594835,0.4198159,0.002927148],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929464,0.002024132,0.000313205,0.0008730317,0.0002659812,0.002818974,0.0006499981,0.00008106216,0.00002724053],"genre_scores_gemma":[0.9779393,0.0001229414,0.01727051,0.0006214266,0.00002635702,0.001721888,0.001626113,0.00006371753,0.0006077382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8008767,"threshold_uncertainty_score":0.9999466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03816575586278763,"score_gpt":0.3364927461474825,"score_spread":0.2983269902846948,"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."}}