{"id":"W7056176975","doi":"","title":"Economic benefits of wind energy in Ontario in the spotlight - Commodities (COMMODIT) News","year":2015,"lang":"en","type":"other","venue":"","topic":"Thermal properties of materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Wind power; Renewable energy; Production (economics); Economic impact analysis; Climate change; Government (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006772705,0.000326994,0.0007237763,0.0002092501,0.0000166929,0.00008622408,0.0009745385,0.0002807229,0.03551072],"category_scores_gemma":[0.00001243175,0.0002137179,0.00005005525,0.00003176609,0.0001684993,0.0001341741,0.0002354075,0.0001378453,0.0006696202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003129284,"about_ca_system_score_gemma":0.0003382601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7705567,"about_ca_topic_score_gemma":0.9584836,"domain_scores_codex":[0.9982334,0.0002716834,0.0005975487,0.000334269,0.0002266992,0.0003364066],"domain_scores_gemma":[0.9988297,0.00006113896,0.0003161201,0.0007347119,0.00001449374,0.00004386742],"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":[0.0002072798,0.0001789532,0.000892201,0.00007579808,0.00002092491,0.00001722135,0.002322424,0.001110202,0.004390154,0.00706576,0.9834816,0.0002374668],"study_design_scores_gemma":[0.0008901347,0.00009880478,0.001546677,0.0003701568,0.00001463896,0.0000101772,0.0003787221,0.000002305201,0.00935737,0.000401767,0.9864094,0.0005198766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4497224,0.0004270826,2.60511e-7,0.0001165055,0.0007634615,0.0002236497,0.0001687081,0.00004412013,0.5485339],"genre_scores_gemma":[0.4326487,0.00008196745,0.0002190338,0.0005868187,0.0005058235,0.00005002848,0.0001060217,0.0004024081,0.5653992],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1879269,"threshold_uncertainty_score":0.965371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03370980807694134,"score_gpt":0.2174214135636594,"score_spread":0.1837116054867181,"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."}}