{"id":"W2095531308","doi":"10.1111/j.1469-1795.2009.00321.x","title":"Animal behaviour and marine protected areas: incorporating behavioural data into the selection of marine protected areas for an endangered killer whale population","year":2009,"lang":"en","type":"article","venue":"Animal Conservation","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Washington State University","keywords":"Endangered species; Whale; Marine protected area; Habitat; Fishery; Disturbance (geology); Geography; Wildlife; Population; Wildlife conservation; Critical habitat; Marine reserve; Ecology; Wildlife management; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001186144,0.0004064537,0.000274235,0.001642064,0.0002913937,0.0008700868,0.0005539649,0.0003420403,0.001565249],"category_scores_gemma":[0.003483797,0.0001286598,0.0004857247,0.001061119,0.000343898,0.0004972938,0.0005214608,0.000378704,0.0002364095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004636481,"about_ca_system_score_gemma":0.0005747728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02678877,"about_ca_topic_score_gemma":0.07977391,"domain_scores_codex":[0.9995678,0.0002240558,0.00003298705,0.00007068204,0.00005913252,0.00004536473],"domain_scores_gemma":[0.9974336,0.0009764674,0.0008471851,0.0001107904,0.0003087714,0.0003231838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000065526,0.00007774136,0.9915859,0.00001921246,0.0001253429,0.00003568517,0.00005740943,0.002527451,0.0004814382,0.00003429117,0.0001649475,0.004825025],"study_design_scores_gemma":[0.000004658987,0.0001468702,0.9779145,0.00001629639,0.00004434198,0.00003255987,0.0003409281,0.02105301,0.0001373261,0.00009211183,0.0002083261,0.000009035809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976561,0.0000702542,0.001247636,0.00009246858,0.000006078779,0.00002144216,0.0003592947,0.00002446685,0.0005222729],"genre_scores_gemma":[0.9981284,0.00002571559,0.001334363,0.00001240549,0.000002953323,0.00001434514,0.0003560985,0.000002813338,0.0001229657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02678877,"threshold_uncertainty_score":0.05326569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0520135553853647,"score_gpt":0.2790497250286239,"score_spread":0.2270361696432592,"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."}}