{"id":"W7052217428","doi":"","title":"Samsung, Pattern Energy and Six Nations Complete Wind Energy Project in Ontario","year":2015,"lang":"en","type":"other","venue":"","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Wind power; Energy (signal processing); Renewable energy; Energy consumption; Work (physics)","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":[0.000657424,0.0008005725,0.0003589682,0.001135959,0.00520232,0.003166288,0.0007412102,0.00141316,0.2093955],"category_scores_gemma":[0.001304909,0.0004140709,0.0004476688,0.002230113,0.0008220929,0.001097675,0.00161436,0.001215499,0.06219253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01461538,"about_ca_system_score_gemma":0.04705198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8239296,"about_ca_topic_score_gemma":0.9508265,"domain_scores_codex":[0.9991065,0.00002898136,0.0000143321,0.00007903069,0.0005070721,0.000264163],"domain_scores_gemma":[0.9985602,0.00005570612,0.00004603912,0.00008738449,0.0008072073,0.0004434385],"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":[0.0001589497,0.00006673691,0.003473596,0.0001393067,0.00001177616,0.0001899228,0.0002416617,0.0004679179,0.0009606483,0.01147436,0.9231363,0.05967881],"study_design_scores_gemma":[0.00001575772,0.00001555469,0.008523969,0.00003702805,0.000004208269,0.00003268129,0.0002735658,0.000281022,0.0005867954,0.0007936182,0.9894275,0.000008403629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008056297,0.001141719,0.001490586,0.003842768,0.0005147294,0.0002359466,0.02587321,0.000897247,0.9579475],"genre_scores_gemma":[0.005239395,0.0003040262,0.0003950588,0.0001271777,0.00001537627,0.00002283454,0.003384434,0.0001678337,0.9903438],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2093955,"threshold_uncertainty_score":0.7004976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01940847267215687,"score_gpt":0.2084150643131026,"score_spread":0.1890065916409458,"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."}}