{"id":"W7061730461","doi":"","title":"RER: lecciones aprendidas y futuro del proyecto","year":2024,"lang":"es","type":"article","venue":"Repositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Order (exchange); Quarter (Canadian coin); Period (music)","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":[0.003105884,0.0008615379,0.000569988,0.001501271,0.0009098714,0.00573747,0.001083628,0.0008867375,0.01514441],"category_scores_gemma":[0.005928899,0.0003680703,0.0009346081,0.001280781,0.001080264,0.00276445,0.001701509,0.00117056,0.004596928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002571491,"about_ca_system_score_gemma":0.002879594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02196104,"about_ca_topic_score_gemma":0.02869301,"domain_scores_codex":[0.9984884,0.0003338365,0.00006100842,0.0003507446,0.0004961945,0.0002696538],"domain_scores_gemma":[0.9970812,0.0006660247,0.0004459228,0.0003112271,0.001222852,0.000272681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009934806,0.0001630762,0.1677466,0.002058337,0.0003723124,0.001545752,0.004713664,0.03657153,0.02861788,0.08729434,0.02979563,0.6401274],"study_design_scores_gemma":[0.00007126426,0.001267062,0.1716839,0.001545228,0.0006285568,0.001282973,0.01300256,0.02584616,0.03623586,0.03038626,0.7177315,0.0003185966],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5454686,0.04214334,0.1540167,0.009155566,0.001774847,0.0005119137,0.007875054,0.002511464,0.2365424],"genre_scores_gemma":[0.8789666,0.01312802,0.0295935,0.0005415465,0.0003718337,0.0002308714,0.002702719,0.0007720405,0.07369275],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02196104,"threshold_uncertainty_score":0.05066311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005272565649540517,"score_gpt":0.2396909710855773,"score_spread":0.2344184054360368,"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."}}