{"id":"W3125897910","doi":"10.1371/journal.pone.0245009","title":"Changes in social connection during COVID-19 social distancing: It’s not (household) size that matters, it’s who you’re with","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Academic Senate, University of California, Riverside","keywords":"Social distance; Closeness; Coronavirus disease 2019 (COVID-19); Feeling; Pandemic; Distancing; Social psychology; Demography; Psychology; Demographic economics; Sociology; Medicine; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001884491,0.0001755172,0.0003380738,0.0005115599,0.002851391,0.001873303,0.0005602417,0.0005524086,0.002780002],"category_scores_gemma":[0.006528113,0.0002319255,0.000371364,0.0005852027,0.001424219,0.001643812,0.00279927,0.001674603,0.0001934045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002603046,"about_ca_system_score_gemma":0.002159254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09804841,"about_ca_topic_score_gemma":0.1991622,"domain_scores_codex":[0.9990735,0.0002672889,0.00003756822,0.0001167622,0.0001294101,0.0003753841],"domain_scores_gemma":[0.9972585,0.0004778356,0.0007477341,0.0001685518,0.0004361245,0.0009111051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003186654,0.0004619009,0.8979655,0.0000896267,0.00008643574,0.0002199278,0.07543974,0.0001173545,0.0007559048,0.001121273,0.001771248,0.02165243],"study_design_scores_gemma":[0.000005220525,0.0000774455,0.9524954,0.00004005436,0.00001190279,0.00003407282,0.04563668,0.00008179041,0.00009565095,0.0001856707,0.001320981,0.00001519551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980543,0.00008971096,0.00006728165,0.0003182107,0.00001416898,0.00002264436,0.0001360665,0.000001955338,0.001295775],"genre_scores_gemma":[0.9990696,0.00008577082,0.00007545717,0.00007600657,0.000006376521,0.0000384218,0.000156012,0.000001925814,0.0004902874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09804841,"threshold_uncertainty_score":0.1949554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.147980994243414,"score_gpt":0.3231338138005163,"score_spread":0.1751528195571023,"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."}}