{"id":"W4220727637","doi":"10.1007/978-3-030-96794-9_29","title":"A Case Study on Probabilistic Technico-Economic Analysis Including Maintenance Cost for Hydroelectric Turbine Fatigue Risk","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in mechanical engineering","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Regret; Reliability engineering; Deferral; Turbine; Operations research; Probabilistic logic; Net present value; Hydroelectricity; Risk analysis (engineering); Planned maintenance; Unit (ring theory); Engineering; Computer science; Operations management; Production (economics); Business","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":[0.001838339,0.0007672698,0.0008501387,0.001280112,0.0008655471,0.001306675,0.001280848,0.002451066,0.004840345],"category_scores_gemma":[0.004517611,0.0004572497,0.001347007,0.001869655,0.0007733661,0.001277875,0.0006921877,0.001193738,0.000211167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678604,"about_ca_system_score_gemma":0.0007239067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00955656,"about_ca_topic_score_gemma":0.009522665,"domain_scores_codex":[0.9993573,0.0003384262,0.00002204536,0.00005644682,0.0001417222,0.00008399923],"domain_scores_gemma":[0.9955453,0.00391836,0.000124345,0.0001328781,0.0001995688,0.00007952042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001528362,0.0002140852,0.002978367,0.00009548823,0.00005092026,0.001662073,0.000086056,0.953033,0.0008229929,0.02671599,0.001452172,0.01273606],"study_design_scores_gemma":[0.00003381977,0.0001655622,0.003078083,0.0000225049,0.0000575696,0.0005980522,0.0001497669,0.9808005,0.0005897224,0.01300128,0.001474766,0.00002834776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7894415,0.002268462,0.1474202,0.001689804,0.0001203814,0.0002686043,0.001018461,0.0002095055,0.05756311],"genre_scores_gemma":[0.9831234,0.0004256312,0.01114057,0.00002930039,0.00003593539,0.00005336703,0.0001279958,0.00003601083,0.005027924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00955656,"threshold_uncertainty_score":0.0190019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939167681799378,"score_gpt":0.2456150339071033,"score_spread":0.2262233570891095,"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."}}