{"id":"W4389219195","doi":"10.1016/j.brat.2023.104443","title":"Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward","year":2023,"lang":"en","type":"article","venue":"Behaviour Research and Therapy","topic":"Mental Health Research Topics","field":"Psychology","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"National Institute of General Medical Sciences; NIH Office of the Director; National Institute on Drug Abuse; National Institute of Mental Health; National Institute on Alcohol Abuse and Alcoholism; Wellcome Leap; National Center for Complementary and Integrative Health; Medical Research Council; Ministry of Education, India; National Center for Advancing Translational Sciences; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Deutsche Forschungsgemeinschaft; European Commission; Association for Psychological Science; Klingenstein Third Generation Foundation; Indiana Clinical and Translational Sciences Institute; National Institutes of Health; Shionogi; Canada Research Chairs; Brain and Behavior Research Foundation; Tommy Fuss Fund; Washington University in St. Louis; National Science Foundation","keywords":"Personalization; Psychology; Precision medicine; Psychotherapist; Applied psychology; Medicine; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.5027488,0.002410094,0.002880047,0.003787742,0.004121198,0.01928306,0.00998868,0.008613581,0.006260743],"category_scores_gemma":[0.5506379,0.00238158,0.002685076,0.005442508,0.01990195,0.0322394,0.02020728,0.01537798,0.001766125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008370909,"about_ca_system_score_gemma":0.04739162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01257466,"about_ca_topic_score_gemma":0.007964191,"domain_scores_codex":[0.501808,0.4279765,0.0199933,0.009001315,0.03721875,0.004002143],"domain_scores_gemma":[0.1903334,0.6832311,0.01959197,0.0638091,0.03799704,0.005037291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008264162,0.001193094,0.01944096,0.007975752,0.0007451614,0.0002764757,0.03268366,0.003726996,0.0007186672,0.2690809,0.01904845,0.6442834],"study_design_scores_gemma":[0.001039363,0.00152853,0.01286572,0.03157396,0.0004430329,0.001262217,0.02850323,0.0151313,0.003997423,0.7573577,0.1456704,0.0006271255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01867492,0.03389297,0.5154143,0.4081721,0.001951692,0.004105578,0.0002124645,0.0008064688,0.01676954],"genre_scores_gemma":[0.178697,0.01048627,0.7729866,0.02733744,0.0007936386,0.007411999,0.0001617435,0.0002672712,0.001858115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5027488,"threshold_uncertainty_score":0.6131992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4240455828382805,"score_gpt":0.6171713268972406,"score_spread":0.1931257440589602,"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."}}