{"id":"W6977312767","doi":"10.6084/m9.figshare.22767518.v1","title":"Additional file 3 of The impact of technology systems and level of support in digital mental health interventions: a secondary meta-analysis","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université de Montréal; Université Laval","funders":"","keywords":"Telehealth; Telemedicine; The Internet; Mental health; Digital health; Health care; Telecare; Table (database); Mobile device","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007073638,0.002231143,0.005063815,0.004119924,0.001076182,0.002207862,0.002424321,0.001766218,0.7827132],"category_scores_gemma":[0.08664864,0.001122438,0.007635368,0.006338396,0.0004146009,0.004212935,0.001586195,0.001883105,0.03387235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002160024,"about_ca_system_score_gemma":0.003494847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006605654,"about_ca_topic_score_gemma":0.01517817,"domain_scores_codex":[0.9964064,0.001307589,0.0008015085,0.000552281,0.0006053774,0.0003267146],"domain_scores_gemma":[0.928763,0.06220689,0.003665893,0.001846764,0.003057687,0.0004598672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.008234838,0.0003304472,0.006744553,0.4266141,0.01281269,0.0002772122,0.0004471074,0.001476425,0.0003817012,0.003378241,0.5193001,0.02000266],"study_design_scores_gemma":[0.1413789,0.003667729,0.1002505,0.1197612,0.06961172,0.001486361,0.001878046,0.009425125,0.002121659,0.03428368,0.5151977,0.0009373323],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001596351,0.001197824,0.001466609,0.0004390337,0.0002451106,0.004582128,0.9878764,0.0003696518,0.002226813],"genre_scores_gemma":[0.1150267,0.004654954,0.03326977,0.00419202,0.0009211221,0.2946091,0.4695472,0.002571039,0.07520808],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7827132,"threshold_uncertainty_score":0.3099332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1050915165972474,"score_gpt":0.3072441851578559,"score_spread":0.2021526685606085,"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."}}