{"id":"W6986675398","doi":"","title":"Radiant Insights: Canada Wind Power Market Trend & Forecast to 2025: Radiant Insights, Inc","year":2015,"lang":"en","type":"other","venue":"","topic":"Electrical and Electromagnetic Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Wind power; Power (physics); Wind speed; Weather forecasting","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":[0.0006785089,0.001245719,0.0004576179,0.003355035,0.001483317,0.004632934,0.001093169,0.001325709,0.06144242],"category_scores_gemma":[0.00365984,0.0004329628,0.0004583446,0.006414871,0.0005793712,0.001842073,0.0008673845,0.002360068,0.021905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02025399,"about_ca_system_score_gemma":0.04291039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.949742,"about_ca_topic_score_gemma":0.9712273,"domain_scores_codex":[0.9988219,0.00002178254,0.00002008264,0.00006060899,0.0009399492,0.0001356405],"domain_scores_gemma":[0.9966453,0.00009922484,0.0001430212,0.00005822734,0.002655468,0.0003987401],"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":[0.00001485048,0.00001070626,0.0007343021,0.00002817747,0.000003382659,0.00001781211,0.00001472258,0.0006339668,0.00003521099,0.001532586,0.9877852,0.009188985],"study_design_scores_gemma":[0.00002461277,0.000008036099,0.006094265,0.0001447833,0.00001017017,0.00001956559,0.0001362117,0.003150956,0.000323265,0.001799889,0.988256,0.00003220693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004388868,0.004614357,0.001786073,0.02407359,0.002621815,0.0001426005,0.5037449,0.003217058,0.4554108],"genre_scores_gemma":[0.04698348,0.0094178,0.004637363,0.003405869,0.00101168,0.0001037141,0.1578046,0.001663727,0.7749717],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06144242,"threshold_uncertainty_score":0.2055454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516069611016772,"score_gpt":0.2463709968424008,"score_spread":0.2312103007322331,"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."}}