{"id":"W6945428522","doi":"10.25384/sage.25928901","title":"sj-docx-1-cpa-10.1177_07067437241255100 - Supplemental material for Computer-Based Training for Cognitive Behavioural Therapy for Substance Use Disorder: A Randomized Controlled Trial Including Quantitative and Qualitative Health and Economic Outcomes: Formation informatisée pour la thérapie cognitivo-comportementale pour les troubles liés à l'usage de substances : un essai randomisé contrôlé y compris les résultats quantitatifs et qualitatifs en matière de santé et d’économie","year":2024,"lang":"fr","type":"article","venue":"Sage Journals Data","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Randomized controlled trial; Qualitative research; Cognition; Substance use; Qualitative analysis; Cognitive training","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007695913,0.001218019,0.002428302,0.00212113,0.001197273,0.00346175,0.00262925,0.003823962,0.9366877],"category_scores_gemma":[0.05729954,0.001500447,0.001572073,0.002968829,0.0008609339,0.002750441,0.001394173,0.003196775,0.3736541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002635045,"about_ca_system_score_gemma":0.004865711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004744209,"about_ca_topic_score_gemma":0.00934389,"domain_scores_codex":[0.9970222,0.001139615,0.0005421317,0.0002880399,0.0006995469,0.0003084878],"domain_scores_gemma":[0.9488622,0.03454772,0.003691148,0.002157803,0.00744982,0.003291311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004368053,0.0004041987,0.0001603392,0.004178925,0.00006398153,0.0000141678,0.00003321962,0.00009073762,0.00009924606,0.0007739389,0.9716604,0.01815271],"study_design_scores_gemma":[0.1398753,0.002404901,0.00730278,0.007077449,0.0004122155,0.00008617112,0.0002933289,0.001004556,0.0009303707,0.006229809,0.8342313,0.0001518595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001610203,0.0006513384,0.001958546,0.004737578,0.003329371,0.02780007,0.8991687,0.004832514,0.05591169],"genre_scores_gemma":[0.02316123,0.002091064,0.02618482,0.01623385,0.003230124,0.2218307,0.3431515,0.005743428,0.3583734],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9366877,"threshold_uncertainty_score":0.09030724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1059043340893633,"score_gpt":0.4168127174792268,"score_spread":0.3109083833898634,"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."}}