{"id":"W2918678616","doi":"10.1177/0898264319831513","title":"Social Integration, Self-Rated Health . . . and Genes?","year":2019,"lang":"en","type":"article","venue":"Journal of Aging and Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Self-rated health; Psychology; Medicine; Gerontology","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":[0.0006595219,0.0002223284,0.0002056036,0.0004149112,0.0004437636,0.0008568175,0.0002453496,0.0004817654,0.003876205],"category_scores_gemma":[0.002393486,0.000111827,0.0002975809,0.0005454747,0.0008178346,0.0004944581,0.0004890129,0.0005187923,0.0001971391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003628769,"about_ca_system_score_gemma":0.000419853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009389826,"about_ca_topic_score_gemma":0.01230929,"domain_scores_codex":[0.9997308,0.00009803715,0.00001105176,0.00006793388,0.00002698857,0.00006522803],"domain_scores_gemma":[0.998839,0.0002759556,0.000451335,0.00005709989,0.00006910445,0.0003076992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000796058,0.0001023722,0.9837565,0.00003041797,0.0001572689,0.0001124295,0.0004800135,0.00006359415,0.0001583105,0.0008026693,0.0004260457,0.01383072],"study_design_scores_gemma":[0.00000472729,0.00004280825,0.997985,0.00003206777,0.00004245316,0.0000787579,0.0004272576,0.0001029369,0.000042504,0.0006549702,0.0005818669,0.000004687604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991424,0.002270387,0.0001412612,0.003555267,0.00004743268,0.00000560316,0.0002477689,0.000005805012,0.002302523],"genre_scores_gemma":[0.9984248,0.0004913846,0.0001304734,0.0002153311,0.00003605799,0.000003252848,0.0000749063,0.000001276818,0.0006224496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009389826,"threshold_uncertainty_score":0.01867032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04975059627266346,"score_gpt":0.4101071784508908,"score_spread":0.3603565821782273,"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."}}