{"id":"W3154187232","doi":"10.1016/j.psychres.2021.113934","title":"Predictors and consequences of loneliness during the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Psychiatry Research","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Loneliness; Social isolation; Psychology; Social distance; Context (archaeology); Quality of life (healthcare); Pandemic; Mental health; Coronavirus disease 2019 (COVID-19); Clinical psychology; Gerontology; Social psychology; Medicine; Psychiatry; Disease; Geography","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":[0.003199993,0.00005076461,0.0001212341,0.00005559793,0.001228305,0.0000661558,0.000240271,0.00007460859,0.0003302153],"category_scores_gemma":[0.001592449,0.00003633451,0.00003349305,0.0004920669,0.001346462,0.00006669862,0.00006955639,0.0002742202,0.000004950185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007275534,"about_ca_system_score_gemma":0.0026841,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01118934,"about_ca_topic_score_gemma":0.02614444,"domain_scores_codex":[0.9976715,0.0008783118,0.0002030901,0.0001824956,0.0006260907,0.0004384743],"domain_scores_gemma":[0.9983343,0.00096776,0.00003859813,0.0001777661,0.000192908,0.0002887041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001551724,0.00001724735,0.9760387,0.0002952539,0.00001038245,0.000003393169,0.003616969,0.000001799889,0.00002900673,0.01776008,0.002119414,0.00009222025],"study_design_scores_gemma":[0.0004266698,0.00002274501,0.8515744,0.00006397913,0.000007596876,0.00002140048,0.05521805,0.000005490685,0.00002378146,0.01300159,0.0795329,0.0001014446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9005838,0.004264163,0.00000737531,0.09222469,0.0004574296,0.0001684913,0.00001586433,0.00002180254,0.00225641],"genre_scores_gemma":[0.9919221,0.004746598,0.00006848214,0.001140677,0.000325865,0.00001833333,0.000001255855,0.000004986917,0.001771658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1244644,"threshold_uncertainty_score":0.9953952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1782315999660062,"score_gpt":0.4887791784329065,"score_spread":0.3105475784669004,"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."}}