{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0003430992,0.001296484,0.0009325518,0.002789528,0.001261561,0.005590688,0.001635764,0.001593925,0.000141113],"category_scores_gemma":[0.0003685551,0.001652639,0.0008083864,0.002455579,0.001049406,0.004016114,0.0007954589,0.001928397,0.0003998915],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006848649,"about_ca_system_score_gemma":0.002585251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001212017,"about_ca_topic_score_gemma":0.0001407297,"domain_scores_codex":[0.9942809,0.0002310799,0.0008788434,0.001660125,0.00113071,0.001818391],"domain_scores_gemma":[0.9963831,0.0008828926,0.0003049861,0.00125201,0.0003713427,0.0008056948],"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":[0.0007474042,0.0006630159,0.003642145,0.001934527,0.002546561,0.02235847,0.00426592,0.1405222,0.02537986,0.6776502,0.05275825,0.06753142],"study_design_scores_gemma":[0.001789946,0.0005502434,0.003614311,0.002146151,0.0006156865,0.002852441,0.002612656,0.02473478,0.01209317,0.005265484,0.9411389,0.00258626],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6983889,0.02472056,0.06149496,0.004192156,0.005226276,0.001865323,0.001279499,0.009436172,0.1933961],"genre_scores_gemma":[0.9818709,0.002515843,0.004786049,0.0001073283,0.001362353,0.00003411661,0.0001919327,0.0003277826,0.008803698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8883806,"threshold_uncertainty_score":0.9999787,"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."}}