{"id":"W2889777765","doi":"10.1016/j.marpolbul.2018.08.052","title":"Empirical measures of harbor seal behavior and avoidance of an operational tidal turbine","year":2018,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Environment Research Council; Seagen; Department of Energy and Climate Change; U.S. Department of Energy","keywords":"Turbine; Tidal power; Environmental science; Habitat; Marine engineering; Occupancy; Seal (emblem); Oceanography; Geology; Engineering; Ecology; Geography; Civil engineering","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":[0.001170492,0.0002902928,0.0001506876,0.000948948,0.0002899811,0.0003700194,0.0002047543,0.0003563214,0.002033922],"category_scores_gemma":[0.007665504,0.0001851975,0.0002504405,0.0005618313,0.000667131,0.0005169009,0.0005686933,0.0004580142,0.0004000163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003038363,"about_ca_system_score_gemma":0.0002459309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005037141,"about_ca_topic_score_gemma":0.0153464,"domain_scores_codex":[0.9995018,0.0001745705,0.00005476953,0.00007779532,0.0001435441,0.00004740984],"domain_scores_gemma":[0.9913208,0.002430818,0.004309011,0.0004973394,0.0008878572,0.0005542335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003258462,0.00007435029,0.9944428,0.00001407284,0.00004342923,0.00002468955,0.0003442421,0.0001457294,0.0007657247,0.0000983396,0.0001544699,0.003859627],"study_design_scores_gemma":[4.707323e-7,0.00005127838,0.999433,0.000002800066,0.000003077486,0.0000270108,0.0001628696,0.00006809399,0.0000719242,0.00002166111,0.0001562806,0.000001591659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966393,0.0001146122,0.000327167,0.00004205499,0.000004481512,0.000009349819,0.0002975937,0.000006146732,0.002559293],"genre_scores_gemma":[0.997138,0.0002351872,0.0005245202,0.00002366874,0.00001267883,0.00002045388,0.0006862685,0.000003544089,0.001355564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005037141,"threshold_uncertainty_score":0.01001561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02794324035003225,"score_gpt":0.2685542315093063,"score_spread":0.240610991159274,"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."}}