{"id":"W4285194527","doi":"10.3354/meps14086","title":"Urban sharks: residency patterns of marine top predators in relation to a coastal metropolis","year":2022,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Southeast Fisheries Science Center; National Marine Fisheries Service; Bureau of Ocean Energy Management; Disney Conservation Fund; National Oceanic and Atmospheric Administration; Batchelor Foundation; National Aeronautics and Space Administration; University of Miami; Office of Naval Research; Save Our Seas Foundation; Herbert W. Hoover Foundation","keywords":"Urbanization; Predation; Carcharhinus; Carnivore; Geography; Apex predator; Ecology; Fishery; Trophic level; Wildlife; 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":[0.000176524,0.0001181578,0.00009948999,0.0007501199,0.000327944,0.0003338455,0.0002408554,0.0002896073,0.00155766],"category_scores_gemma":[0.0006487521,0.0001531154,0.0001695088,0.0005148376,0.0003675265,0.0003645146,0.0004936833,0.0001813569,0.0001385728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002852603,"about_ca_system_score_gemma":0.0001781398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01426874,"about_ca_topic_score_gemma":0.03820712,"domain_scores_codex":[0.9998816,0.00002168413,0.00001214441,0.00003778102,0.00001724212,0.00002950456],"domain_scores_gemma":[0.9993753,0.00006875256,0.0003242165,0.00003292915,0.00005190404,0.000146929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003148,0.00001194741,0.9987051,0.000003159385,0.00001435877,0.00002881102,0.0002464872,0.00002344483,0.0003768831,0.000008886855,0.00002671341,0.0005227535],"study_design_scores_gemma":[6.302447e-7,0.00002088448,0.9993243,0.00000116381,0.000003192492,0.00003786031,0.0005071007,0.00005571967,0.00002044699,0.000002794043,0.00002480178,0.000001083816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998282,0.00001263779,0.00001358741,0.000009533799,6.083151e-7,0.000001510095,0.00004786944,7.513258e-7,0.00008516797],"genre_scores_gemma":[0.9998535,0.00001301861,0.00002683316,0.000004022471,0.000001694495,0.000002765632,0.00005193283,3.667116e-7,0.00004584591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01426874,"threshold_uncertainty_score":0.02837139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005624739019408022,"score_gpt":0.223423389636532,"score_spread":0.217798650617124,"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."}}