{"id":"W4234259981","doi":"10.7775/rac.v88.i5.18857","title":"Psychosocial Impact of the COVID-19 Pandemic on the Adult Population of Buenos Aires","year":2020,"lang":"en","type":"article","venue":"","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cytodiagnostics (Canada)","funders":"","keywords":"Psychosocial; Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Population; Gerontology; Psychology; Geography; Medicine; Demography; Psychiatry; Virology; Sociology; Disease; Infectious disease (medical specialty)","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":[0.0002071923,0.0002756988,0.0001831854,0.0003758207,0.0007799835,0.0004603403,0.000167647,0.0003318394,0.002267097],"category_scores_gemma":[0.0004657528,0.00009673074,0.000164628,0.0003489705,0.0002592776,0.0002686941,0.0004373146,0.0003820214,0.0001951887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006090396,"about_ca_system_score_gemma":0.0003385096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03984611,"about_ca_topic_score_gemma":0.05722398,"domain_scores_codex":[0.9998177,0.0000526456,0.00001133092,0.0000261552,0.00002845979,0.00006374529],"domain_scores_gemma":[0.9997308,0.00001818111,0.00009293867,0.000007156642,0.00003698026,0.0001139768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009473473,0.0001624004,0.9912185,0.00004980861,0.0000284981,0.0002532007,0.001922946,0.00002565654,0.0005051286,0.00002818804,0.0007300777,0.004980721],"study_design_scores_gemma":[0.000001237641,0.00005478279,0.9971711,0.00001085677,0.000003926927,0.00004738985,0.002328059,0.00001253152,0.00001152055,0.000003920928,0.0003527535,0.00000191001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984024,0.0003098797,0.00001194586,0.0002380916,0.00001731176,0.000009212148,0.0002278089,0.00000101861,0.0007824634],"genre_scores_gemma":[0.9990517,0.0003137376,0.00002123864,0.00007393141,0.00002104336,0.00001253514,0.0001985482,5.651007e-7,0.0003067038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03984611,"threshold_uncertainty_score":0.0792284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1543249236972897,"score_gpt":0.475903517271026,"score_spread":0.3215785935737363,"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."}}