{"id":"W4240534506","doi":"10.2196/preprints.25547","title":"Priority Given to Technology in Government-Based Mental Health and Addictions Vision and Strategy Documents: Systematic Policy Review (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Université de Montréal; McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Government (linguistics); Mental health; Telepsychiatry; Political science; Public relations; Preprint; Pandemic; Health care; Coronavirus disease 2019 (COVID-19); Telemedicine; Business; Medicine; Computer science; World Wide Web; Law; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08887035,0.001302949,0.005232106,0.03458146,0.002443317,0.008325556,0.002996214,0.003057068,0.005223485],"category_scores_gemma":[0.2886403,0.001513915,0.005820944,0.04133952,0.003225483,0.006777463,0.003279206,0.002596185,0.0005596069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04875522,"about_ca_system_score_gemma":0.200133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1886989,"about_ca_topic_score_gemma":0.3250953,"domain_scores_codex":[0.9031317,0.03730167,0.03573815,0.00270548,0.01878438,0.002338584],"domain_scores_gemma":[0.6427144,0.2518286,0.03962598,0.004850821,0.05804154,0.002938648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001832373,0.0000218485,0.001636273,0.9212523,0.002352697,0.00006817717,0.001936785,0.0001393585,0.0001507374,0.002020968,0.01160618,0.05863144],"study_design_scores_gemma":[0.0001138947,0.00004766689,0.002565319,0.9487591,0.00519903,0.00004896879,0.001845608,0.00005572877,0.0001566049,0.0004753771,0.04069523,0.0000374723],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004195742,0.9630299,0.001238077,0.01326836,0.001578408,0.005683537,0.00730773,0.00005335801,0.003644855],"genre_scores_gemma":[0.04058994,0.929627,0.007394566,0.006674862,0.0003731221,0.01162644,0.002989957,0.00004022412,0.0006839121],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1886989,"threshold_uncertainty_score":0.469997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02924499364284201,"score_gpt":0.4183188564450945,"score_spread":0.3890738628022525,"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."}}