{"id":"W2044883679","doi":"10.1016/j.socscimed.2008.04.019","title":"Health in China and India: A cross-country comparison in a context of rapid globalisation","year":2008,"lang":"en","type":"review","venue":"Social Science & Medicine","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"Izaak Walton Killam Health Centre; Dalhousie University","funders":"","keywords":"Health care; Globalization; Economic growth; Epidemiological transition; Health policy; China; Urbanization; Public health; Population; Slum; Context (archaeology); Development economics; Global health; International health; Developing country; Medicine; Political science; Environmental health; Geography; 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":[0.001190703,0.0003108558,0.001151581,0.003151262,0.0003882589,0.0009616539,0.0004973907,0.0004624429,0.001264513],"category_scores_gemma":[0.001580502,0.0001379928,0.0007246517,0.007402289,0.000517731,0.0006574158,0.0007498776,0.0003489476,0.00006920823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001824023,"about_ca_system_score_gemma":0.005866589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06508847,"about_ca_topic_score_gemma":0.1215538,"domain_scores_codex":[0.9995549,0.000114227,0.00005939575,0.00005362894,0.0001251537,0.00009270149],"domain_scores_gemma":[0.9991074,0.0003408128,0.0002322766,0.00001782728,0.000187349,0.0001143753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005739721,0.0001994359,0.3386953,0.02351982,0.001730428,0.0009438451,0.003743755,0.0007351479,0.0006332562,0.002216204,0.005559186,0.6214497],"study_design_scores_gemma":[0.00003560275,0.0004563158,0.9631273,0.003210407,0.001266169,0.00075821,0.0060067,0.0001869253,0.0002267632,0.0003826146,0.02430466,0.00003841628],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1512934,0.8421095,0.0001236115,0.002354328,0.0001987507,0.00004006943,0.0006635943,0.000009681353,0.003207084],"genre_scores_gemma":[0.3213954,0.6768519,0.0002308522,0.0005296748,0.0001414923,0.00003126203,0.0003953137,0.000001736409,0.0004224047],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.06508847,"threshold_uncertainty_score":0.1294192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07861771630601422,"score_gpt":0.4450826012704139,"score_spread":0.3664648849643997,"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."}}