{"id":"W4285891691","doi":"10.3389/fmars.2022.897104","title":"Mismatches in scale between highly mobile marine megafauna and marine protected areas","year":2022,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Dalhousie University","funders":"Natural Environment Research Council; Sight Research UK; Pew Charitable Trusts","keywords":"Marine protected area; Megafauna; Marine life; Marine reserve; Geography; Fishery; Ecology; Biology; Habitat","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":[0.001013876,0.0001873714,0.0003169049,0.00136326,0.0004385196,0.001179776,0.0004359251,0.0002583365,0.003790752],"category_scores_gemma":[0.006867442,0.0001369524,0.0002387205,0.002411836,0.0004416755,0.001148331,0.001410557,0.0003628041,0.000703616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003399588,"about_ca_system_score_gemma":0.0002090672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198832,"about_ca_topic_score_gemma":0.03662761,"domain_scores_codex":[0.9992361,0.0001949256,0.000050257,0.0003071488,0.0001094108,0.0001020687],"domain_scores_gemma":[0.9975148,0.001176632,0.0005034046,0.000407958,0.0002165688,0.0001806689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001106788,0.00001580217,0.949746,0.0001679034,0.0002695843,0.0001189335,0.00156315,0.001444755,0.001731799,0.002346132,0.003199158,0.03928619],"study_design_scores_gemma":[0.000003174882,0.00001050675,0.9885609,0.00004466803,0.0000201784,0.00009355506,0.001211112,0.001287479,0.0001340971,0.001413651,0.007211568,0.000009139932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743069,0.001562522,0.005525657,0.0004408516,0.00003550613,0.00001428773,0.005171026,0.00009430147,0.01284877],"genre_scores_gemma":[0.9942843,0.0002091381,0.001601074,0.00006874907,0.00001032565,0.00001349871,0.003192152,0.00001735532,0.000603253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01198832,"threshold_uncertainty_score":0.02383709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007446237085163712,"score_gpt":0.2111417724084855,"score_spread":0.2036955353233218,"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."}}