{"id":"W4389262022","doi":"","title":"Addressing social and gender inequalities in health among seniors in Canada","year":2003,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inequality; Social inequality; Sociology; Geography; Gerontology; Psychology; Medicine; Mathematics","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":[0.0007353969,0.0001752466,0.0002502977,0.0009838752,0.005109471,0.001156799,0.0005950431,0.0004258562,0.002085494],"category_scores_gemma":[0.001267844,0.00009614238,0.0002882734,0.00141271,0.0007282898,0.0003065311,0.001322122,0.0005380451,0.00007832801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0272378,"about_ca_system_score_gemma":0.07676159,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932417,"about_ca_topic_score_gemma":0.9977046,"domain_scores_codex":[0.9993221,0.00005160676,0.00001447192,0.00002487385,0.0001650144,0.0004220604],"domain_scores_gemma":[0.9994355,0.00003353638,0.00003001954,0.000007729591,0.000168882,0.0003244389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002845335,0.0002761357,0.5495515,0.0005536958,0.000106042,0.0008492026,0.01796982,0.001396923,0.001269247,0.01736073,0.04399484,0.3663872],"study_design_scores_gemma":[0.00006155528,0.0001792784,0.9115807,0.0004474206,0.0001539972,0.0002401468,0.02978175,0.001660336,0.0006193524,0.00411654,0.05111267,0.00004626062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8969229,0.008686453,0.0006821181,0.03207785,0.000229424,0.0001660615,0.001643375,0.00004337818,0.05954839],"genre_scores_gemma":[0.9901183,0.003122577,0.0006588433,0.001509522,0.00003530217,0.00002582584,0.0002316914,0.000003876165,0.004294056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0272378,"threshold_uncertainty_score":0.197625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5183685793558221,"score_gpt":0.6036309998735352,"score_spread":0.08526242051771304,"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."}}