{"id":"W1967471444","doi":"10.1016/j.enpol.2011.06.030","title":"Three dimensional energy profile:","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":328,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Context (archaeology); Energy (signal processing); Cornerstone; Population; Developing country; Rural area; Business; Energy engineering; Order (exchange); Energy policy; Environmental economics; Economic growth; Efficient energy use; Economics; Public economics; Geography; Engineering; Renewable energy; Political science; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001951448,0.0002942384,0.0001941248,0.0004972682,0.0003241418,0.001942481,0.0003770275,0.0006763716,0.01436942],"category_scores_gemma":[0.000839386,0.0001446301,0.0003385305,0.001106231,0.0002751563,0.001153424,0.0005988049,0.0006035523,0.002182057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007384341,"about_ca_system_score_gemma":0.0006325883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01295915,"about_ca_topic_score_gemma":0.012733,"domain_scores_codex":[0.9999021,0.00002009374,0.000004840928,0.00001394475,0.00004571559,0.00001312808],"domain_scores_gemma":[0.9998804,0.00001849714,0.00001068873,0.00001844959,0.00005621795,0.00001566658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003320568,0.0001169688,0.008852363,0.0001724269,0.00004527546,0.0003446748,0.0002661839,0.4168331,0.004754539,0.3674086,0.04377049,0.1571033],"study_design_scores_gemma":[0.00002576912,0.00004959054,0.01432089,0.00008110335,0.00002774475,0.0002833008,0.0006268249,0.6841531,0.004971719,0.157788,0.1375785,0.00009334351],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09771867,0.0008815721,0.532371,0.005291819,0.000981163,0.0001346417,0.01240708,0.002132474,0.3480816],"genre_scores_gemma":[0.8620601,0.001391382,0.08236345,0.0003637666,0.0001013484,0.00009801331,0.004012403,0.0003750715,0.04923448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01436942,"threshold_uncertainty_score":0.04807055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795628447478307,"score_gpt":0.2077988385063635,"score_spread":0.1898425540315804,"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."}}