{"id":"W3111541331","doi":"10.1093/geroni/igaa057.2063","title":"Contexts That Exclude: Loneliness in North America, Europe, and Africa","year":2020,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loneliness; Ideology; Politics; Social exclusion; Disadvantage; Social isolation; Sociology; Social psychology; Psychology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007952803,0.0001838296,0.0003366199,0.001658413,0.003822591,0.002176891,0.0003014406,0.0004108484,0.001799445],"category_scores_gemma":[0.001766764,0.0001429456,0.0001713157,0.001942945,0.002318948,0.001802017,0.004110031,0.0006262619,0.00006258504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508283,"about_ca_system_score_gemma":0.00228159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07331406,"about_ca_topic_score_gemma":0.1988296,"domain_scores_codex":[0.9994242,0.0001996291,0.00003810463,0.00007280769,0.00006214579,0.0002030196],"domain_scores_gemma":[0.9988866,0.0002712739,0.0003260587,0.00003330658,0.0001417728,0.0003408792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001270157,0.0001140069,0.5659697,0.0004994914,0.00008345811,0.001208327,0.3770949,0.00008616043,0.00093576,0.005118395,0.002590513,0.04617226],"study_design_scores_gemma":[0.00000471097,0.00003398789,0.6723574,0.0003806937,0.00002399694,0.0003457289,0.3178333,0.00003911076,0.00006726036,0.0007717444,0.008125533,0.00001644872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905143,0.002227404,0.0000464645,0.001157923,0.00003067275,0.00001252129,0.00009707224,0.000001628809,0.005911962],"genre_scores_gemma":[0.9983355,0.001201344,0.00003645938,0.0001548635,0.00001395896,0.00001484425,0.00002809218,9.558879e-7,0.0002140648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07331406,"threshold_uncertainty_score":0.1457747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0783572581404568,"score_gpt":0.3452249504286131,"score_spread":0.2668676922881563,"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."}}