{"id":"W2185510401","doi":"","title":"THE GEOSPATIAL ASSESSMENT OF THE RELATIONSHIP BETWEEN ALTITUDE AND MORTALITY IN INDIA","year":2011,"lang":"en","type":"article","venue":"","topic":"Birth, Development, and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Altitude (triangle); Demography; Geospatial analysis; Geography; Mortality rate; Effects of high altitude on humans; Environmental health; Medicine; Cartography; Meteorology; Mathematics","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":[0.0003766777,0.0001965871,0.0001513923,0.003806179,0.0003960551,0.001004157,0.000366448,0.0001123672,0.001194578],"category_scores_gemma":[0.001728493,0.0001536854,0.000426268,0.005973349,0.0002546825,0.0003203438,0.001011992,0.0003278346,0.0001740243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006803841,"about_ca_system_score_gemma":0.001003197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09111384,"about_ca_topic_score_gemma":0.0962581,"domain_scores_codex":[0.9995717,0.0001203907,0.00006188542,0.00005289743,0.0001247004,0.00006840986],"domain_scores_gemma":[0.9989171,0.0002738553,0.0003153252,0.0001267912,0.000290706,0.00007628229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000455215,0.00002752999,0.9658074,0.0001370026,0.0001051683,0.0002870872,0.001211982,0.001963513,0.0004731747,0.001396555,0.001548268,0.02699665],"study_design_scores_gemma":[0.000001520929,0.00001663474,0.9942656,0.00003493476,0.00004694705,0.0001834617,0.001695568,0.001522968,0.0001308558,0.0002329323,0.001858207,0.0000103332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773746,0.0007844812,0.002274177,0.0004760869,0.00002275251,0.00007027703,0.008557994,0.0001199985,0.01031972],"genre_scores_gemma":[0.9956977,0.0003943739,0.001497018,0.00002127785,0.00001070638,0.00002267518,0.001954319,0.000006632089,0.0003953173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09111384,"threshold_uncertainty_score":0.181167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.107994819437691,"score_gpt":0.3740304881847928,"score_spread":0.2660356687471018,"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."}}