{"id":"W7099747753","doi":"","title":"Energy Abundance and Economic Growth International and Canadian Evidence","year":2014,"lang":"en","type":"article","venue":"","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Abundance (ecology); Production (economics); Energy consumption; International comparisons; Energy policy; Energy intensity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00254535,0.0005661233,0.0006889799,0.005878638,0.002339762,0.00472248,0.001219968,0.000809683,0.0121675],"category_scores_gemma":[0.01675331,0.0003545144,0.0009038983,0.01516648,0.002876117,0.00218688,0.001911497,0.002072244,0.0005240364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0177498,"about_ca_system_score_gemma":0.01901453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9665937,"about_ca_topic_score_gemma":0.9754559,"domain_scores_codex":[0.9978014,0.0002010921,0.0001687732,0.0002724042,0.0009709108,0.0005853122],"domain_scores_gemma":[0.9764082,0.006124849,0.003998207,0.001089512,0.01047322,0.001906013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009243907,0.0001494173,0.7572927,0.001478511,0.001219619,0.0005718877,0.001709485,0.003436706,0.0002380852,0.09330093,0.07673104,0.06294714],"study_design_scores_gemma":[0.00008040081,0.00004235468,0.8572201,0.001837792,0.001583647,0.0002182871,0.007089879,0.00138987,0.0005389651,0.01120997,0.1186869,0.0001018929],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4455014,0.1643745,0.001604109,0.06091904,0.0006202733,0.00005021198,0.03350972,0.0001047282,0.2933161],"genre_scores_gemma":[0.9348192,0.04680299,0.0004070063,0.001520101,0.0002931352,0.000009099539,0.008023113,0.00003831045,0.008086999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03340626,"threshold_uncertainty_score":0.1287844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575788700786803,"score_gpt":0.183150015153771,"score_spread":0.1673921281459029,"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."}}