{"id":"W2733814636","doi":"10.1093/geroni/igx004.2683","title":"REPRODUCTIVE AND PARENTAL CORRELATES OF CARDIOMETABOLIC RISK IN GLOBAL POPULATIONS OF OLDER ADULTS","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Childbirth; Disease; Demography; Gerontology; Cohort; Pregnancy; Medicine; Psychology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001785515,0.0001970709,0.0005041848,0.001033258,0.000351881,0.0006399021,0.0003180326,0.0003434285,0.001327601],"category_scores_gemma":[0.00669828,0.0002186901,0.0009595645,0.002281089,0.0003685706,0.0005777769,0.0006019446,0.0005134957,0.0001067302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003285767,"about_ca_system_score_gemma":0.000590539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02259386,"about_ca_topic_score_gemma":0.03056883,"domain_scores_codex":[0.9990597,0.0003136935,0.000190272,0.0002140409,0.0001495645,0.00007267827],"domain_scores_gemma":[0.9974774,0.0008886933,0.00106225,0.000177393,0.0002801194,0.0001141571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005864608,0.00001417035,0.97703,0.0009575399,0.0007642187,0.00007807143,0.0009983554,0.00003376708,0.00004980842,0.0001606501,0.0006678895,0.0191868],"study_design_scores_gemma":[0.000004554845,0.00003546321,0.9970073,0.0005427987,0.0004120113,0.0001361509,0.0005242589,0.00002844219,0.000017114,0.00008560186,0.001201101,0.000005221667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8240514,0.1662086,0.0004485225,0.001410526,0.0001457259,0.00004697013,0.004136862,0.00001114521,0.003540208],"genre_scores_gemma":[0.9501188,0.04724393,0.0003848898,0.0004721163,0.0001234162,0.00005521345,0.001338885,0.000005157433,0.0002576463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02259386,"threshold_uncertainty_score":0.04492468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03813425419523823,"score_gpt":0.3769045417158486,"score_spread":0.3387702875206103,"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."}}