{"id":"W1903172881","doi":"10.3968/j.est.1923847920120402.226","title":"Income Levels and Transition of Cooking Fuel Among Rural Poor in India","year":2012,"lang":"en","type":"article","venue":"Energy science and technology","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liquefied petroleum gas; Kerosene; Livelihood; Government (linguistics); Population; Business; Consumption (sociology); Greenhouse gas; Distribution (mathematics); Agriculture; Economic growth; Socioeconomics; Environmental health; Agricultural economics; Geography; Economics; Engineering; Waste management; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001685762,0.00008967755,0.0001302925,0.000808506,0.0007878299,0.0007128915,0.0002252359,0.0002149431,0.001753914],"category_scores_gemma":[0.000799991,0.0001519181,0.0002357945,0.0008417291,0.000525642,0.000303633,0.0006444397,0.000454856,0.0002186036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004130737,"about_ca_system_score_gemma":0.000393046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02700788,"about_ca_topic_score_gemma":0.03245537,"domain_scores_codex":[0.999788,0.00003971719,0.00001703042,0.00001941733,0.00003505791,0.0001008211],"domain_scores_gemma":[0.9995236,0.00007073151,0.0001815279,0.00001630084,0.00005851502,0.0001493101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002928587,0.0000527617,0.9963169,0.00001010989,0.00001070854,0.0002237341,0.001625507,0.00006221255,0.0001379678,0.0001097012,0.000174799,0.001246338],"study_design_scores_gemma":[0.000001278118,0.00003963089,0.9938788,0.00001186931,0.00000639582,0.0001938032,0.005409696,0.00006863863,0.00004225381,0.00004735688,0.0002964367,0.000003992996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999198,0.00004378117,0.0000103804,0.00008270324,0.000001452523,0.000003330583,0.0001033875,9.430165e-7,0.000556009],"genre_scores_gemma":[0.9997327,0.00004698705,0.00001042694,0.00001933674,0.000001090296,0.000002784906,0.00004535408,4.349729e-7,0.0001409027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02700788,"threshold_uncertainty_score":0.05370134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004664294562496407,"score_gpt":0.1930644110178627,"score_spread":0.1884001164553663,"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."}}