{"id":"W6997476467","doi":"","title":"WindESCo Partners with Capital Power to Identify Tuning and Maintenance Opportunities on Canadian Wind Facilities","year":2020,"lang":"en","type":"other","venue":"","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Capital (architecture); Power (physics); Government (linguistics); Wind power; Investment (military); Productivity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001189237,0.0007240253,0.0002179015,0.001880856,0.003858309,0.00238972,0.0008676172,0.001062687,0.0482762],"category_scores_gemma":[0.003068451,0.0002866067,0.0004393784,0.00196803,0.0005572909,0.001128891,0.00107493,0.001072514,0.006176963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02086072,"about_ca_system_score_gemma":0.06854498,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9655721,"about_ca_topic_score_gemma":0.9896461,"domain_scores_codex":[0.9985868,0.00005554548,0.00001452676,0.00006471841,0.0007916379,0.0004868823],"domain_scores_gemma":[0.9935774,0.0002253117,0.0001258889,0.0001493677,0.004928363,0.0009937075],"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":[0.0002320435,0.0002173802,0.02112922,0.0002267859,0.00003163619,0.0002871009,0.0005031982,0.004060347,0.003904406,0.02710018,0.701341,0.2409666],"study_design_scores_gemma":[0.00003186262,0.00006841974,0.03420242,0.0001298253,0.00002978529,0.0001017379,0.001859896,0.005775325,0.002096709,0.002491499,0.9531638,0.00004860258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05230956,0.001418768,0.01040411,0.0122454,0.0009964979,0.0004331542,0.01467775,0.002685507,0.9048294],"genre_scores_gemma":[0.1892546,0.001558987,0.01452663,0.001980041,0.00006344492,0.0001111791,0.01117428,0.0006768007,0.7806541],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0482762,"threshold_uncertainty_score":0.1615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02213852531426271,"score_gpt":0.2278755150692637,"score_spread":0.2057369897550009,"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."}}