{"id":"W3091047654","doi":"10.1111/ddi.13168","title":"Assessing the exposure of three diving bird species to offshore wind areas on the U.S. Atlantic Outer Continental Shelf using satellite telemetry","year":2020,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Bureau of Ocean Energy Management; U.S. Department of Energy","keywords":"Submarine pipeline; Offshore wind power; Oceanography; Continental shelf; Habitat; Environmental science; Satellite tracking; Fishery; Geography; Wind power; Satellite; Ecology; Geology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001603951,0.0002093072,0.0001002088,0.0005993133,0.0003019742,0.0002964838,0.0001510111,0.0001636002,0.000710054],"category_scores_gemma":[0.0004003954,0.0001049564,0.0001542782,0.0003945066,0.000154551,0.0001840322,0.0003447419,0.0001284703,0.0001097502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003166853,"about_ca_system_score_gemma":0.0002027577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05002022,"about_ca_topic_score_gemma":0.1852033,"domain_scores_codex":[0.9998918,0.00001285135,0.0000111551,0.00003424145,0.00002929978,0.00002061501],"domain_scores_gemma":[0.9994324,0.00006073216,0.000273792,0.0000227476,0.0001249058,0.00008541848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001506894,0.00001028172,0.9964051,0.0000042521,0.00001164719,0.00002129382,0.0001134435,0.00007834392,0.0009310733,0.000003821232,0.00004666846,0.002358972],"study_design_scores_gemma":[6.349705e-7,0.00003329526,0.9993388,0.000002987024,0.000003996607,0.00001708578,0.0002654425,0.0001713427,0.000079704,0.000002750159,0.00008299961,8.983327e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993747,0.00001593947,0.00007212366,0.000005171721,0.000001214158,0.000005909834,0.0002061184,0.000002030158,0.0003167581],"genre_scores_gemma":[0.998833,0.00004607977,0.0002990357,0.00001285032,0.000001933592,0.00001440147,0.0005062179,8.866054e-7,0.0002856263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05002022,"threshold_uncertainty_score":0.09945816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05271837815631066,"score_gpt":0.2449604753518297,"score_spread":0.192242097195519,"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."}}