{"id":"W4280634119","doi":"10.1111/ddi.13543","title":"Marine mammal hotspots across the circumpolar Arctic","year":2022,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Stantec (Canada); University of British Columbia; Government of Northwest Territories; University of Windsor; Aurora College; Fisheries and Oceans Canada","funders":"National Marine Fisheries Service; U.S. Fish and Wildlife Service; Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Bureau of Ocean Energy Management; Crown-Indigenous Relations and Northern Affairs Canada; Norges Forskningsråd; National Oceanic and Atmospheric Administration; Pinngortitaleriffik; Miljøministeriet; Office of Naval Research; World Wildlife Fund","keywords":"Circumpolar star; Marine mammal; Arctic; Ecology; Geography; Mammal; The arctic; Oceanography; Biology; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003521736,0.0002400423,0.000179036,0.002664139,0.0004539631,0.0006410161,0.0002045486,0.0001195898,0.001104086],"category_scores_gemma":[0.000438321,0.00009610186,0.0002281921,0.00176161,0.000186789,0.0002437092,0.0005514378,0.0001037972,0.0001825186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003002377,"about_ca_system_score_gemma":0.0002443111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03208707,"about_ca_topic_score_gemma":0.08498026,"domain_scores_codex":[0.9997737,0.00004102937,0.00001729051,0.00008153285,0.000039305,0.00004720096],"domain_scores_gemma":[0.999243,0.00008210599,0.0003596679,0.00003374344,0.0001614373,0.0001200737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006259613,0.000007722498,0.9904946,0.00005027654,0.00005955678,0.00007513799,0.0003857942,0.0001947679,0.001019148,0.00005037589,0.0003074119,0.007292522],"study_design_scores_gemma":[5.316285e-7,0.000008326472,0.9990954,0.00001145189,0.000008411287,0.00003920981,0.0004029312,0.0001191349,0.00004548526,0.000009530265,0.0002583345,0.000001205246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964348,0.0005813903,0.0001562339,0.00002490409,0.000009538074,0.000008454514,0.001611237,0.00001133224,0.001162072],"genre_scores_gemma":[0.9981413,0.0002678809,0.0002775786,0.00001060549,0.00001206631,0.0000085103,0.001025916,0.000002110686,0.00025407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03208707,"threshold_uncertainty_score":0.06380057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.018576805739161,"score_gpt":0.220095796008339,"score_spread":0.201518990269178,"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."}}