{"id":"W2113956231","doi":"10.1109/tpwrs.2011.2130850","title":"Investigation of the 2.5 Beta Methodology","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro One (Canada)","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; BETA (programming language); Beta distribution; Econometrics; Event (particle physics); Value (mathematics); Statistics; Computer science; Mathematics; Engineering; Power (physics)","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":[0.02759684,0.0009635221,0.0007029407,0.002662628,0.0008303307,0.003507333,0.00231327,0.00132816,0.006985609],"category_scores_gemma":[0.06149654,0.0005764691,0.001174276,0.002233794,0.001252594,0.002570616,0.002267199,0.002586226,0.002173364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001907792,"about_ca_system_score_gemma":0.003549342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002532065,"about_ca_topic_score_gemma":0.001833528,"domain_scores_codex":[0.9865972,0.007907401,0.0004289919,0.000907967,0.003683906,0.0004743951],"domain_scores_gemma":[0.9620669,0.02352446,0.002852341,0.003585897,0.007388278,0.0005820521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001492778,0.0001258439,0.009146407,0.0002153197,0.00009638035,0.0003679899,0.0006072723,0.03970276,0.001413452,0.7987433,0.006893921,0.1425381],"study_design_scores_gemma":[0.00009516815,0.000789126,0.01034848,0.0004909423,0.00008830943,0.001558125,0.0007114458,0.587925,0.003988706,0.3094476,0.08444844,0.0001085553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01814557,0.0009257324,0.9494556,0.001002139,0.0002857368,0.0002724811,0.000241024,0.000375062,0.02929673],"genre_scores_gemma":[0.412555,0.001719483,0.56123,0.001404103,0.0006161078,0.001178085,0.0007082659,0.000633311,0.01995573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02759684,"threshold_uncertainty_score":0.1459478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06732011776826904,"score_gpt":0.2239286872715206,"score_spread":0.1566085695032515,"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."}}