{"id":"W4312103552","doi":"10.1093/geroni/igac059.1172","title":"MEASURING OLDER ADULT LONELINESS ACROSS COUNTRIES","year":2022,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Loneliness; Psychology; Spouse; Scale (ratio); Construct (python library); UCLA Loneliness Scale; Developing country; Construct validity; Developmental psychology; Social psychology; Geography; Psychometrics; Political science; Computer science; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006563376,0.0003837397,0.0005698101,0.003653273,0.0008183164,0.001719953,0.0004857435,0.0003830492,0.001693476],"category_scores_gemma":[0.01916102,0.0001907813,0.0006869474,0.003983435,0.0006757182,0.00195494,0.003361775,0.0004431633,0.0002581816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005486089,"about_ca_system_score_gemma":0.0007021861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00288081,"about_ca_topic_score_gemma":0.003531776,"domain_scores_codex":[0.9953231,0.002720295,0.0006822977,0.0004955265,0.0005160819,0.0002626451],"domain_scores_gemma":[0.9866446,0.003738125,0.004626471,0.000945055,0.003259036,0.0007867419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006991048,0.00006423433,0.961736,0.000328083,0.0004129833,0.00005192031,0.004003751,0.0005268918,0.0001510781,0.001118421,0.002110989,0.0294257],"study_design_scores_gemma":[0.0000116811,0.0001782405,0.9850714,0.0004263583,0.0001487571,0.0001039149,0.008424933,0.0004195165,0.00027909,0.0007233014,0.004181268,0.00003147402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835896,0.001704399,0.001749434,0.0003192299,0.00007712055,0.0001368166,0.003063334,0.00002505758,0.009334982],"genre_scores_gemma":[0.996452,0.0004876927,0.001477164,0.00008778121,0.00002151229,0.0001989966,0.001054971,0.000004459548,0.0002155119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006563376,"threshold_uncertainty_score":0.03471088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05746181054794172,"score_gpt":0.3722885517557114,"score_spread":0.3148267412077697,"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."}}