{"id":"W2979185679","doi":"10.26419/pia.00015.001","title":"The Brain and Social Connectedness: GCBH Recommendations on Social Engagement and Brain Health","year":2017,"lang":"en","type":"report","venue":"","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chiba University; Karolinska Institutet; Hebrew University of Jerusalem; Public Health England; Administration for Community Living; Johns Hopkins University; University of Exeter; Age UK; National Center for Geriatrics and Gerontology; Heriot-Watt University; Rush University; Ben-Gurion University of the Negev; Harvard University; Emory University; Centers for Disease Control and Prevention; University of Pennsylvania; Alzheimer Society; Health Resources and Services Administration; University of Southern California","keywords":"Social connectedness; Psychology; Social engagement; Sociology; Social psychology; Social science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03116339,0.002779172,0.003375536,0.005585084,0.004000103,0.008487615,0.01165006,0.05462236,0.03577393],"category_scores_gemma":[0.1135192,0.001868414,0.006319497,0.005152596,0.005716256,0.009448947,0.01285959,0.03622155,0.02737429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0124556,"about_ca_system_score_gemma":0.05193635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.12906,"about_ca_topic_score_gemma":0.1754618,"domain_scores_codex":[0.9728608,0.01267781,0.002471258,0.00103576,0.007441873,0.003512557],"domain_scores_gemma":[0.859242,0.07041208,0.00641475,0.004189552,0.03772778,0.02201385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003148819,0.00006754239,0.0001461745,0.001146157,0.00002647729,0.00008228398,0.0003351224,0.0001064556,0.00005801649,0.001887034,0.9706702,0.02544307],"study_design_scores_gemma":[0.0002344511,0.00006407312,0.001568254,0.01823866,0.0001278703,0.00009433116,0.0009759747,0.0001909936,0.0001229277,0.007578482,0.9706853,0.0001187271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0003782932,0.02572296,0.002000778,0.9022657,0.04292297,0.001292483,0.002592196,0.0005937694,0.02223087],"genre_scores_gemma":[0.005950092,0.05377896,0.02314221,0.8167428,0.0171016,0.006370025,0.004548355,0.0005305948,0.07183539],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.12906,"threshold_uncertainty_score":0.2566175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2140475451518227,"score_gpt":0.4803766395601644,"score_spread":0.2663290944083417,"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."}}