{"id":"W1756042915","doi":"","title":"Inter-state Inequality in Infant Mortality in India, 1981-2000","year":2005,"lang":"en","type":"article","venue":"World health & population","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inequality; Infant mortality; Residence; Mortality rate; Demography; State (computer science); Public health; Rural area; Geography; Medicine; Socioeconomics; Environmental health; Population; Economics; Sociology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005642415,0.0001559185,0.0003876879,0.0003983925,0.0002740719,0.00004590729,0.0001905092,0.00009613574,0.0001696674],"category_scores_gemma":[0.0002491355,0.0001667657,0.00006070407,0.001090892,0.00007172526,0.0005910622,0.00004442783,0.0003920605,0.00004104092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002238019,"about_ca_system_score_gemma":0.0004835893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4005927,"about_ca_topic_score_gemma":0.8545048,"domain_scores_codex":[0.9960228,0.001293016,0.001183507,0.0003508643,0.000479675,0.0006701956],"domain_scores_gemma":[0.9989969,0.0001160695,0.0003663356,0.0002840972,0.00004875711,0.0001878966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000263255,0.0001313136,0.9420907,0.00004224202,0.000002175212,0.000001264587,0.02244743,0.0001124463,8.037114e-7,0.01387689,0.0002192664,0.02104914],"study_design_scores_gemma":[0.0003983067,0.00001989415,0.9718633,0.00007433906,0.000001450427,8.362023e-8,0.000437186,0.0003949065,0.000002399607,0.005310174,0.02132767,0.0001702727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849917,0.0001385161,0.00006724317,0.004939628,0.0004327145,0.0006243135,0.00002123652,0.0000740929,0.008710573],"genre_scores_gemma":[0.9952351,0.00008422456,0.0002089492,0.003405749,0.000321273,0.00002867218,0.0000812634,0.00001179982,0.0006230092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4539121,"threshold_uncertainty_score":0.6800507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05343996641312351,"score_gpt":0.3970011536899924,"score_spread":0.343561187276869,"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."}}