{"id":"W4393825538","doi":"10.5281/zenodo.7113692","title":"Field-replay Based Load testing Reducing tool","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Field (mathematics); Computer science; Reliability engineering; Engineering; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001796513,0.003782524,0.00181587,0.004253759,0.001036383,0.002066404,0.00411063,0.002066582,0.03552024],"category_scores_gemma":[0.008348105,0.001045055,0.002320821,0.003807324,0.0005295423,0.001777985,0.002156237,0.002098005,0.06776041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297825,"about_ca_system_score_gemma":0.002089252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01666056,"about_ca_topic_score_gemma":0.02695157,"domain_scores_codex":[0.9979296,0.0002848049,0.0002569817,0.0007154988,0.0005539843,0.0002591413],"domain_scores_gemma":[0.9953908,0.001040633,0.0003180162,0.001978389,0.00106497,0.0002072464],"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":[0.0002643181,0.00008896593,0.001654859,0.001010273,0.00008276515,0.0000430189,0.00003136462,0.001650048,0.0007031251,0.0004310155,0.9840349,0.01000545],"study_design_scores_gemma":[0.001222358,0.00025225,0.01358716,0.0005018514,0.0002046082,0.0002842503,0.0001786303,0.01668951,0.009367056,0.005145024,0.95239,0.0001773603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008094859,0.0001010811,0.001162496,0.00008691255,0.00008644526,0.00005850021,0.9839773,0.01286826,0.0008494779],"genre_scores_gemma":[0.001234075,0.00005404063,0.002157445,0.00005021495,0.0000109746,0.0001558021,0.9951279,0.0005660601,0.0006434216],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03552024,"threshold_uncertainty_score":0.1188271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0264688405051374,"score_gpt":0.2332330155113387,"score_spread":0.2067641750062013,"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."}}