{"id":"W7126874432","doi":"","title":"Análisis comparativo de las tarifas eléctricas en la Unión Europea","year":2000,"lang":"es","type":"article","venue":"","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"European union; Quarter (Canadian coin); Western europe","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":[0.001794781,0.0002759658,0.0006148662,0.003771135,0.0002742773,0.00172504,0.0002510941,0.0003800352,0.002458561],"category_scores_gemma":[0.003555479,0.0001100303,0.0006409856,0.007175849,0.0001877622,0.0005686851,0.000431635,0.0002664383,0.0003421317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008466545,"about_ca_system_score_gemma":0.000490061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016673,"about_ca_topic_score_gemma":0.01575738,"domain_scores_codex":[0.9987054,0.0004001394,0.0001041516,0.0002075086,0.0004457429,0.0001370322],"domain_scores_gemma":[0.9984346,0.0005720722,0.0002850298,0.0001016073,0.0005700712,0.00003651722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001806563,0.0002093667,0.6067921,0.001004665,0.001799465,0.0004301163,0.001343189,0.0648228,0.008688439,0.0102385,0.002902741,0.299962],"study_design_scores_gemma":[0.00003741226,0.0004514121,0.9411007,0.0001930052,0.0003988899,0.0002904998,0.003480852,0.00857147,0.004202284,0.001912306,0.03932255,0.00003857391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568446,0.005049776,0.006062778,0.0001798652,0.00002036591,0.00003525534,0.002756871,0.00008450728,0.02896596],"genre_scores_gemma":[0.9907275,0.001696466,0.002555731,0.00003292052,0.00001226349,0.00002457759,0.001604018,0.00003457231,0.003311822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02016673,"threshold_uncertainty_score":0.04009867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004196769235094652,"score_gpt":0.2161632581504037,"score_spread":0.2119664889153091,"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."}}