{"id":"W4384130997","doi":"10.3390/wind3030017","title":"Economic Impacts of Curtailing Wind Turbine Operations for the Protection of Bat Populations in Ontario","year":2023,"lang":"en","type":"article","venue":"Wind","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Environment and Climate Change Canada","funders":"Natural Resources Canada; Environment and Climate Change Canada","keywords":"Wind power; Turbine; Renewable energy; Environmental science; Wind speed; Revenue; Offshore wind power; Meteorology; Engineering; Business; Finance; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005198734,0.0001720078,0.0001651796,0.0003805123,0.0008887538,0.0007971427,0.0005308932,0.0002291879,0.001526623],"category_scores_gemma":[0.002691481,0.0001491314,0.0003903243,0.0007065608,0.0005427186,0.0003564689,0.0006397058,0.0003588991,0.0001184541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02418528,"about_ca_system_score_gemma":0.01852658,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.974498,"about_ca_topic_score_gemma":0.992101,"domain_scores_codex":[0.9993136,0.00009561768,0.00002338334,0.00005314627,0.000264708,0.0002496258],"domain_scores_gemma":[0.9980539,0.0002898236,0.0005234123,0.00006574179,0.000688569,0.0003786915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002341237,0.00006983842,0.9513828,0.0001121262,0.0001231817,0.0005417132,0.001222933,0.01792277,0.001105929,0.001808697,0.004123502,0.0213524],"study_design_scores_gemma":[0.00001250895,0.00006503997,0.9824932,0.00003277399,0.00003552881,0.00005501351,0.001864137,0.01193386,0.0001728458,0.000256707,0.003063876,0.00001455052],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918436,0.0001950585,0.0004366155,0.0006108592,0.000007996358,0.0000299391,0.001599176,0.00001306213,0.0052636],"genre_scores_gemma":[0.9974889,0.0002058276,0.0002265748,0.00005613539,0.000003282147,0.00001010059,0.0005421907,0.000004252035,0.001462679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02550203,"threshold_uncertainty_score":0.1754773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07948596291085705,"score_gpt":0.2700287911556116,"score_spread":0.1905428282447546,"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."}}