{"id":"W7053458960","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":"Laser Design and Applications","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":[0.001451463,0.0007257938,0.0002632855,0.001767054,0.005580719,0.002654272,0.0009583023,0.00132345,0.06801675],"category_scores_gemma":[0.002365523,0.0003633058,0.0004822499,0.001719973,0.0007286046,0.00130816,0.001379972,0.00128171,0.009812082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02000567,"about_ca_system_score_gemma":0.07122765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9405959,"about_ca_topic_score_gemma":0.9821228,"domain_scores_codex":[0.9979663,0.00006408985,0.00001596848,0.00009012812,0.001181826,0.0006817884],"domain_scores_gemma":[0.9946917,0.0001687924,0.00009036339,0.0001481093,0.003999826,0.0009011885],"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":[0.0003010036,0.0002325297,0.01560974,0.0002498191,0.00003159764,0.0003321492,0.0005899786,0.003848626,0.007618754,0.03697972,0.6946919,0.2395142],"study_design_scores_gemma":[0.0000238246,0.00005854308,0.01267952,0.0000985912,0.00001751597,0.00008658082,0.001226891,0.003698151,0.002565003,0.001752374,0.9777549,0.00003813695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03971246,0.001206908,0.01207053,0.008552513,0.0008825863,0.0004232087,0.008406692,0.002757984,0.9259872],"genre_scores_gemma":[0.1278029,0.001101853,0.01769794,0.00162417,0.00004952351,0.0001202226,0.006875462,0.0007966952,0.8439311],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06801675,"threshold_uncertainty_score":0.2275387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03118796646665203,"score_gpt":0.2369416404104863,"score_spread":0.2057536739438342,"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."}}