{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001740736,0.00003881401,0.00008907758,0.00001140763,0.0001532708,0.000003097338,0.00005537223,0.00005499579,0.00008469631],"category_scores_gemma":[0.00004543482,0.00001357019,0.000034603,0.00008782126,0.00005160593,0.00004048054,0.00002155112,0.00005323849,0.000006107139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002308495,"about_ca_system_score_gemma":0.00001253298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02516861,"about_ca_topic_score_gemma":0.806471,"domain_scores_codex":[0.9996598,0.00001600327,0.0001393262,0.00007780929,0.00001534134,0.00009176156],"domain_scores_gemma":[0.9998,0.000115788,0.00003571354,0.00002315145,0.00001712384,0.000008261884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005318788,0.00004550549,0.9248347,0.000006107184,0.00004160464,1.638982e-7,0.0009804327,0.006915299,0.06399386,0.000604405,0.0002680407,0.002256687],"study_design_scores_gemma":[0.00008686282,0.000111551,0.9972939,0.000005310838,0.000007087867,4.235713e-7,0.0003706733,0.0004458395,0.000830908,0.0003165236,0.0005020481,0.00002882122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99735,0.0000315175,9.245828e-7,0.002109567,0.0001393229,0.0002920829,0.00002104585,0.000006513777,0.00004906877],"genre_scores_gemma":[0.9996763,0.000008195328,0.00001601568,0.00001645863,0.00004133097,0.00001552563,0.0000288282,2.482609e-7,0.0001970304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7813025,"threshold_uncertainty_score":0.9813229,"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."}}