{"id":"W4386137599","doi":"10.22259/2638-4787.0401003","title":"Health and Aging in Contemporary China","year":2021,"lang":"en","type":"article","venue":"Archives of Community and Family Medicine","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"China; Political science","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":[0.001056795,0.0002488851,0.0002873753,0.001238229,0.005460502,0.001986672,0.0004222868,0.0007929663,0.002604437],"category_scores_gemma":[0.0007066611,0.0001295099,0.0002104695,0.002137321,0.003762195,0.001277129,0.002704475,0.001070834,0.0000984835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009326502,"about_ca_system_score_gemma":0.01216803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1382777,"about_ca_topic_score_gemma":0.188327,"domain_scores_codex":[0.9995633,0.0000945183,0.00003014376,0.00005619021,0.0000650912,0.0001907988],"domain_scores_gemma":[0.999612,0.00004540457,0.00007527735,0.00002835693,0.00006085034,0.0001780051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009676433,0.0001773856,0.2802563,0.0008749002,0.00009868394,0.002580829,0.1955323,0.001221885,0.002621405,0.3615185,0.02170785,0.1333133],"study_design_scores_gemma":[0.00002950983,0.0002823262,0.5969935,0.0008442023,0.0001057568,0.0009520981,0.07792369,0.001865862,0.0006475592,0.05865131,0.2615728,0.0001313987],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8805509,0.02104446,0.0006622926,0.05055792,0.0006029391,0.00005057272,0.0002362777,0.00003670731,0.04625787],"genre_scores_gemma":[0.9857126,0.005866739,0.0001971153,0.003215769,0.0002114112,0.00002335487,0.00008610567,0.000003852252,0.004683034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1382777,"threshold_uncertainty_score":0.2749456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1120736910817181,"score_gpt":0.3952015594397166,"score_spread":0.2831278683579986,"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."}}