{"id":"W4385583333","doi":"10.1080/15567036.2023.2241409","title":"Critical decision making for rehabilitation of hydroelectric power plants","year":2023,"lang":"en","type":"article","venue":"Energy Sources Part A Recovery Utilization and Environmental Effects","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Hydroelectricity; Reliability (semiconductor); Process (computing); Computational fluid dynamics; Turbine; Rehabilitation; Reliability engineering; Computer science; Engineering; Marine engineering; Power (physics); Operations research; Mechanical engineering","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":[0.005364016,0.001441419,0.00131691,0.001224513,0.001404489,0.003284349,0.001434362,0.001488431,0.004942493],"category_scores_gemma":[0.008768103,0.0007709024,0.001075035,0.0007046759,0.001757154,0.002039709,0.002035386,0.001714431,0.0003546452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002195869,"about_ca_system_score_gemma":0.00456198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002561509,"about_ca_topic_score_gemma":0.002440031,"domain_scores_codex":[0.9968129,0.001892825,0.000140198,0.0003096101,0.000537256,0.0003072221],"domain_scores_gemma":[0.9942162,0.004157274,0.0006107464,0.0001235091,0.0006660057,0.0002262449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002614007,0.0001800151,0.001166415,0.0004187733,0.00007074109,0.000407672,0.0005500615,0.9092022,0.004058495,0.03300925,0.000985085,0.0496898],"study_design_scores_gemma":[0.0000512324,0.000233912,0.0004394525,0.00016479,0.00003994396,0.00006588567,0.0004931412,0.9512099,0.003733667,0.04098601,0.002529741,0.00005222185],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08512077,0.0006361543,0.9038905,0.0007121098,0.00007489713,0.0006232324,0.0001154901,0.0001961123,0.00863068],"genre_scores_gemma":[0.7226253,0.0005943865,0.2738875,0.0001431124,0.00004794127,0.0005564926,0.0001794744,0.00005197735,0.001913819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005364016,"threshold_uncertainty_score":0.02836794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006782568957578105,"score_gpt":0.2263710138594849,"score_spread":0.2195884449019068,"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."}}