{"id":"W4281736290","doi":"10.1017/s0033291722001891","title":"Increased incident rates of antidepressant use during the COVID-19 pandemic: interrupted time-series analysis of a nationally representative sample","year":2022,"lang":"en","type":"article","venue":"Psychological Medicine","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Vancouver Coastal Health","funders":"","keywords":"Pandemic; Antidepressant; Demography; Medicine; Medical prescription; Depression (economics); Interrupted Time Series Analysis; Counterfactual thinking; Coronavirus disease 2019 (COVID-19); Population; Anxiety; Psychiatry; Internal medicine; Psychology; Statistics; Environmental health; Mathematics; Pharmacology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001528036,0.0001766257,0.0006468334,0.0004458395,0.0002249879,0.000005005407,0.0004516754,0.00006439022,0.01588491],"category_scores_gemma":[0.002943499,0.0001112728,0.0001668319,0.001541983,0.0006458965,0.00006089418,0.0002488772,0.0003315986,0.000005344575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000245672,"about_ca_system_score_gemma":0.00004845559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01190868,"about_ca_topic_score_gemma":0.0003073887,"domain_scores_codex":[0.9966402,0.001160007,0.0008421119,0.000508111,0.0005822749,0.0002673191],"domain_scores_gemma":[0.9941939,0.004358632,0.0005762191,0.0005729679,0.0001086953,0.0001895963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00359409,0.0006977982,0.9756147,0.00004785707,0.0009366518,0.00005115142,0.007987078,0.0002131612,0.006521983,0.001091742,0.002779164,0.0004646253],"study_design_scores_gemma":[0.002048938,0.0009100853,0.9897788,0.00001306101,0.0003301859,0.00005525619,0.003861868,0.00007435813,0.00005813663,0.0005992094,0.002160841,0.0001093297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943388,0.0003544705,0.0007481612,0.002841277,0.0002318462,0.0005296569,0.0004352431,0.00005189301,0.000468674],"genre_scores_gemma":[0.99447,0.00008836896,0.000132526,0.004353044,0.00005251197,0.0001755979,0.0002373616,0.00001098154,0.0004796178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01587957,"threshold_uncertainty_score":0.9946711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1823403679304635,"score_gpt":0.4892363730274467,"score_spread":0.3068960050969831,"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."}}