{"id":"W4399853819","doi":"10.1016/j.enpol.2024.114224","title":"Assessing the potential for energy efficiency improvements in Latin America and Caribbean","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy Efficiency and Management","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Latin Americans; Caribbean region; Energy (signal processing); Natural resource economics; Economics; Development economics; Geography; Political science; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002003104,0.000245553,0.0002023226,0.0003853393,0.0002514756,0.0003333398,0.0002839619,0.00008749379,0.0000257783],"category_scores_gemma":[0.00006373649,0.0001829078,0.0001053268,0.0007661313,0.0001387366,0.0002258025,0.0001883634,0.000108392,0.000002935699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000121164,"about_ca_system_score_gemma":0.0001209132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03484675,"about_ca_topic_score_gemma":0.001387563,"domain_scores_codex":[0.9982613,0.00009473604,0.0003457011,0.0004898055,0.0002310228,0.0005774066],"domain_scores_gemma":[0.9993622,0.0001527852,0.00006443273,0.0003150102,0.00002553286,0.00007999664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007064924,0.00005785231,0.000005317502,0.00002663365,0.00003778054,0.00001491845,0.0002585595,0.03276568,0.00225632,0.6807191,0.0006467893,0.2832039],"study_design_scores_gemma":[0.000663686,0.0001495849,0.0007867799,0.00007576658,0.00005081867,0.000006506235,0.0005869991,0.2562938,0.002392434,0.01914549,0.7194124,0.0004357792],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2356636,0.009950971,0.4287705,0.0233634,0.004808813,0.0007577313,0.00006756674,0.001349205,0.2952682],"genre_scores_gemma":[0.9914771,0.0002160789,0.000402257,0.001774575,0.0006480832,0.0001645737,0.00003205927,0.00004953576,0.005235713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7558135,"threshold_uncertainty_score":0.9715803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076254158473272,"score_gpt":0.285895933774628,"score_spread":0.2751333921898952,"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."}}