{"id":"W3202565206","doi":"10.24054/rcta.v1i37.973","title":"IDENTIFICACIÓN DE FALLAS EN SISTEMAS DE BOMBEO MECÁNICO DE PETRÓLEO UTILIZANDO NEUROFUZZY","year":2023,"lang":"es","type":"article","venue":"REVISTA COLOMBIANA DE TECNOLOGIAS DE AVANZADA","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Humanities; Philosophy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003506762,0.0008984753,0.001163804,0.0007057869,0.0004178534,0.0008248805,0.00140559,0.00112387,0.0002911435],"category_scores_gemma":[0.003008081,0.001031653,0.0005925489,0.001695646,0.000304741,0.0003157777,0.0004696047,0.00169262,0.0005814041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002215307,"about_ca_system_score_gemma":0.00072206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007140888,"about_ca_topic_score_gemma":0.0001299761,"domain_scores_codex":[0.9934224,0.001069712,0.001191702,0.001204221,0.0005211249,0.002590804],"domain_scores_gemma":[0.996447,0.0007965666,0.0003485432,0.001573703,0.00018733,0.0006468996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005337845,0.0009774236,0.1566052,0.01193197,0.002123175,0.007840609,0.003846043,0.006797118,0.2197948,0.03159975,0.444741,0.1132092],"study_design_scores_gemma":[0.002590808,0.001250748,0.141911,0.002296162,0.001636677,0.003330847,0.002045484,0.01823371,0.191205,0.01328117,0.6181838,0.004034607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724689,0.007557794,0.003203261,0.003606846,0.0006591368,0.001159428,0.0001455874,0.006624266,0.00457475],"genre_scores_gemma":[0.9718191,0.01558087,0.004287609,0.0005441089,0.0004932646,0.0002801981,0.00005025234,0.0002763423,0.006668257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1734428,"threshold_uncertainty_score":0.9992134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306260787415782,"score_gpt":0.2703489454601354,"score_spread":0.2572863375859776,"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."}}