{"id":"W7046660547","doi":"","title":"Economic benefits of wind energy in Ontario in the spotlight - Energy (ENERGY01) News","year":2015,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Wind power; Renewable energy; Energy policy; Economic impact analysis; Environmental impact of the energy industry","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":[0.0004116277,0.0002558976,0.0001765119,0.0005348483,0.003749862,0.003677602,0.0004370185,0.002202384,0.071791],"category_scores_gemma":[0.001407041,0.0002240956,0.0003555331,0.001314681,0.0007368308,0.0007693758,0.0008571824,0.001376352,0.006540191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0193944,"about_ca_system_score_gemma":0.03501584,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9272131,"about_ca_topic_score_gemma":0.9829562,"domain_scores_codex":[0.9992964,0.00002035179,0.00001116758,0.00002123428,0.0004391745,0.000211528],"domain_scores_gemma":[0.9988876,0.00006431146,0.00003515015,0.00003083673,0.0006212406,0.0003609279],"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":[0.00004633784,0.00001187836,0.001217498,0.00004378752,0.000004502632,0.0001018134,0.0001158874,0.0000621517,0.0001370322,0.005527786,0.9797606,0.01297062],"study_design_scores_gemma":[0.00000888384,0.00000469617,0.006020963,0.00003556173,0.000003137422,0.00002015248,0.0002891845,0.00004383196,0.000085673,0.000461406,0.9930192,0.000007305019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0127066,0.006296138,0.0002389417,0.1238847,0.004821472,0.00008381504,0.0107687,0.0002003018,0.8409994],"genre_scores_gemma":[0.03936801,0.005164619,0.000214655,0.00888576,0.0007700989,0.00002202881,0.001897095,0.00009352183,0.9435842],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07278693,"threshold_uncertainty_score":0.2401648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348758901317791,"score_gpt":0.2240374691762782,"score_spread":0.2105498801631003,"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."}}