{"id":"W3206082612","doi":"10.1016/j.euroneuro.2021.10.004","title":"Results of the COVID-19 mental health international for the general population (COMET-G) study","year":2021,"lang":"en","type":"article","venue":"European Neuropsychopharmacology","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":138,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Artificial Intelligence in Medicine (Canada); Child, Adolescent and Family Mental Health","funders":"World Health Organization","keywords":"Mental health; Depression (economics); Anxiety; Psychiatry; Distress; Population; Psychological intervention; Clinical psychology; Mental distress; Psychology; Medicine; Demography; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001319173,0.0001822174,0.0002261489,0.00008740019,0.0003822869,0.00001988853,0.0006779417,0.00002807221,0.0003653099],"category_scores_gemma":[0.000210841,0.0001266187,0.000164024,0.0003404367,0.0001102199,0.00003878601,0.0002503076,0.000282537,0.00003275821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002443411,"about_ca_system_score_gemma":0.000269576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000603797,"about_ca_topic_score_gemma":0.0002545253,"domain_scores_codex":[0.9954742,0.00259464,0.0007342072,0.0005765794,0.0002587541,0.0003616363],"domain_scores_gemma":[0.9981603,0.0005597601,0.0004398363,0.0005786767,0.00007590758,0.0001855379],"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":[0.008714857,0.005806807,0.0606635,0.0001343808,0.000765691,0.0002040113,0.02249715,0.0006937446,0.01828923,0.002992046,0.8259146,0.05332395],"study_design_scores_gemma":[0.008098733,0.0005254408,0.4428549,0.000003430387,0.00003531247,0.00006843978,0.0006845701,0.00009525349,0.00001868082,0.00002728805,0.5474871,0.0001007889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8823649,0.000490873,0.0002166803,0.0850841,0.02444787,0.002560384,0.000491662,0.0001270888,0.00421647],"genre_scores_gemma":[0.9376734,0.0001101546,0.00005558049,0.05644183,0.0007289458,0.00005705699,0.00008132559,0.00006252305,0.004789212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3821914,"threshold_uncertainty_score":0.5163362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1089762556552986,"score_gpt":0.4759876865104931,"score_spread":0.3670114308551945,"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."}}