{"id":"W3195480325","doi":"10.1111/psyp.13924","title":"Social integration after moving to a new city predicts lower systolic blood pressure","year":2021,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychosocial; Relocation; Blood pressure; Psychology; Demography; Social network (sociolinguistics); Social support; Incidence (geometry); Waist; Internal medicine; Cardiology; Gerontology; Medicine; Obesity; Social psychology; Psychiatry; Social media","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002288708,0.0003515088,0.0003158007,0.0004700278,0.0005036677,0.0007058202,0.0004125446,0.0005784183,0.003438409],"category_scores_gemma":[0.001569184,0.0001931391,0.0005647541,0.0004247311,0.0002242136,0.0003750038,0.0006599347,0.0007196684,0.0004817937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002851401,"about_ca_system_score_gemma":0.0001905392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01879457,"about_ca_topic_score_gemma":0.02985545,"domain_scores_codex":[0.9998535,0.00003221561,0.00001221168,0.00003439773,0.00002768998,0.0000400511],"domain_scores_gemma":[0.9990559,0.00005571023,0.0004001608,0.00005491928,0.00008341009,0.0003498769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000955072,0.000136276,0.9962959,0.00001291575,0.00011668,0.00009560143,0.0002151732,0.00007476997,0.0002953039,0.00001382894,0.0001967555,0.002451222],"study_design_scores_gemma":[0.000001611209,0.00005500853,0.9994568,0.000003736918,0.00001489202,0.00004071639,0.0002159603,0.0001112413,0.00001444919,0.000007790129,0.00007588224,0.000001821503],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992712,0.0001162384,0.0000334976,0.00007217626,0.000009442731,0.000005980623,0.000126656,0.000004019054,0.0003607937],"genre_scores_gemma":[0.9988268,0.0001245689,0.00005006262,0.00002090181,0.00001584813,0.000006711847,0.0003078146,0.000001540601,0.0006457307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01879457,"threshold_uncertainty_score":0.03737032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522339510974177,"score_gpt":0.3476681481563752,"score_spread":0.3224447530466334,"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."}}