{"id":"W2734660259","doi":"10.1177/0019466220120304","title":"Energy Consumption and India's Economic Growth","year":2012,"lang":"en","type":"article","venue":"The Indian Economic Journal","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministry of Statistics and Programme Implementation, Government of India; Canada Excellence Research Chairs, Government of Canada","keywords":"Consumption (sociology); Economics; Energy consumption; Natural resource economics; Agricultural economics; Development economics; Sociology; Engineering; Social science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003341646,0.0001557764,0.0001637661,0.0001177188,0.0002890932,0.00008317242,0.0001703662,0.00008105354,0.001458674],"category_scores_gemma":[0.000002895195,0.0001265842,0.0000730289,0.00001264803,0.0001749315,0.0004542953,0.00001849822,0.0001776875,0.000421019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001933126,"about_ca_system_score_gemma":0.00004041168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007433263,"about_ca_topic_score_gemma":0.0005881914,"domain_scores_codex":[0.9990464,0.00007192434,0.0003363902,0.000117138,0.00004810182,0.0003800552],"domain_scores_gemma":[0.9992995,0.00007812868,0.0002324865,0.0001586467,0.000003439446,0.0002278131],"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":[0.00005875309,0.00006136225,0.3966238,0.00001490344,0.0004190393,0.00001162578,0.007778385,0.003538304,0.0001820183,0.5691701,0.001986329,0.02015542],"study_design_scores_gemma":[0.001704825,0.00006416394,0.8472434,0.00002131693,0.0001139718,0.001176577,0.001106693,0.0001259423,0.003002951,0.0181801,0.1266686,0.0005914304],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900533,0.0006666156,0.00004570009,0.0004764435,0.0006720395,0.0000311144,0.00001736795,0.00001965307,0.008017773],"genre_scores_gemma":[0.9947324,0.003088733,0.00004719465,0.0006223734,0.001027446,0.000007484052,0.00001219537,0.00002834861,0.0004338002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5509899,"threshold_uncertainty_score":0.9994541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104164429707887,"score_gpt":0.209711908294641,"score_spread":0.1992954653238523,"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."}}