{"id":"W3194006651","doi":"10.1111/ajad.13211","title":"Substance use, depression, and loneliness among American veterans during the COVID‐19 pandemic","year":2021,"lang":"en","type":"article","venue":"American Journal on Addictions","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Institute on Alcohol Abuse and Alcoholism","keywords":"Loneliness; Depression (economics); Cannabis; Pandemic; Social isolation; Psychiatry; Medicine; Psychological intervention; Population; Substance use; Psychology; Logistic regression; Coronavirus disease 2019 (COVID-19); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005781441,0.0001659367,0.0002217684,0.0003633091,0.0008274126,0.0006803831,0.0002442782,0.0003422225,0.0009258135],"category_scores_gemma":[0.002455879,0.0001559056,0.0002952976,0.000412498,0.0003474271,0.000475282,0.0007383976,0.0005943422,0.00006157492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000371762,"about_ca_system_score_gemma":0.0004956498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01987665,"about_ca_topic_score_gemma":0.04118842,"domain_scores_codex":[0.9996946,0.0001244599,0.00002452245,0.00003479279,0.00003953436,0.00008201504],"domain_scores_gemma":[0.998984,0.0001536888,0.0004145545,0.00004412082,0.000101635,0.0003020268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003726899,0.00005061322,0.9972588,0.00001142017,0.00003146431,0.00002452613,0.0005081042,0.00001946431,0.00005535762,0.00001303486,0.0001424051,0.00184746],"study_design_scores_gemma":[0.000001237748,0.00005127476,0.9985669,0.000009196337,0.000007561758,0.00003546957,0.00115908,0.00005661559,0.00001249854,0.00001039525,0.00008758681,0.000002185807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992667,0.0001817944,0.00001976972,0.0001122593,0.000007344819,0.000007647039,0.0001117902,0.000001219542,0.0002914771],"genre_scores_gemma":[0.9997466,0.00008481308,0.00002005436,0.00002950733,0.000006277269,0.000006138649,0.00005998498,3.50761e-7,0.00004607141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01987665,"threshold_uncertainty_score":0.03952193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06070364631934121,"score_gpt":0.3863887791549827,"score_spread":0.3256851328356414,"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."}}