{"id":"W3045761394","doi":"10.33262/concienciadigital.v3i3.1266","title":"Estudio de fiabilidad, mantenibilidad y disponibilidad aplicado a grupos electrógenos prime","year":2020,"lang":"es","type":"article","venue":"ConcienciaDigital","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004538902,0.0006772145,0.0007448646,0.0001120712,0.0002216515,0.0005877611,0.0007911934,0.0003920903,0.0001447791],"category_scores_gemma":[0.001839275,0.0006978819,0.0004070457,0.00107995,0.0003701917,0.0009313718,0.000234167,0.0006750477,0.0006320622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000684769,"about_ca_system_score_gemma":0.0005583218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002134304,"about_ca_topic_score_gemma":0.000004404628,"domain_scores_codex":[0.9959409,0.00009840231,0.0008632432,0.001157021,0.000523297,0.001417195],"domain_scores_gemma":[0.9977705,0.0002441001,0.0001719597,0.0007531825,0.0002607089,0.0007995618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001401812,0.002106573,0.1927837,0.006081705,0.001317813,0.0009804992,0.02841978,0.2118341,0.3953918,0.01285394,0.01337605,0.1334522],"study_design_scores_gemma":[0.004432133,0.002964288,0.05836511,0.0007997276,0.0005240249,0.0002682331,0.001682738,0.8017235,0.08651105,0.0009953679,0.0373026,0.004431235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9217466,0.001477509,0.06117602,0.0007091773,0.0003476464,0.001435655,0.0001315706,0.000797771,0.01217812],"genre_scores_gemma":[0.9961174,0.0003514592,0.001586436,0.0009351179,0.000491448,0.00008823659,0.00004222485,0.0001333349,0.0002543934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5898894,"threshold_uncertainty_score":0.9995472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036663988685003,"score_gpt":0.2154337898969255,"score_spread":0.2050671500100755,"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."}}