{"id":"W38857265","doi":"10.1371/journal.pgph.0002661","title":"Advancing equitable access to digital mental health in the Asia-Pacific region in the context of the COVID-19 pandemic and beyond: A modified Delphi consensus study.","year":2024,"lang":"en","type":"article","venue":"PubMed","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Toronto; Centre for Addiction and Mental Health; Simon Fraser University; University of Alberta; University of British Columbia","funders":"Cilag; National Health and Medical Research Council; Canadian Institutes of Health Research; Grand Challenges Canada; Medical Research Council; Public Health Agency; Canadian Network for Mood and Anxiety Treatments; H. Lundbeck A/S; Public Health Agency of Canada; Servier; Fondation Brain Canada; Pfizer; Eli Lilly and Company","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002792409,0.00008988239,0.0002112197,0.00005577691,0.000102013,0.0000883689,0.0003251139,0.00003721913,0.0000031599],"category_scores_gemma":[0.001066999,0.00003136785,0.00003447377,0.0006231691,0.0002329042,0.00006535911,0.0001465626,0.0002202638,5.468679e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001014191,"about_ca_system_score_gemma":0.0001204214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004284531,"about_ca_topic_score_gemma":0.0009882732,"domain_scores_codex":[0.9984792,0.000251776,0.0002923217,0.0002483836,0.0003445546,0.0003837219],"domain_scores_gemma":[0.9989057,0.0007071671,0.00005113261,0.0001558405,0.00001009253,0.0001700204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006089276,0.0007584328,0.5258636,0.0002057124,0.00003406027,0.0001087852,0.02934664,0.000009035554,0.00007678934,0.001276097,0.02108094,0.420631],"study_design_scores_gemma":[0.002684756,0.0008460787,0.8291035,0.0001383445,0.00002797211,0.0004167652,0.1299354,0.0003066177,0.00001091952,0.003735893,0.03260395,0.0001898485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.80447,0.0007366216,0.00001297804,0.1912479,0.0001032948,0.002379275,0.0000133819,0.00001385023,0.001022698],"genre_scores_gemma":[0.9868441,0.00006365941,0.000002005044,0.01263404,0.00003567525,0.0003359272,0.000003171494,0.000002418086,0.00007906285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4204411,"threshold_uncertainty_score":0.1279144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1276909790933928,"score_gpt":0.3598741588932645,"score_spread":0.2321831797998716,"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."}}