{"id":"W4390666905","doi":"10.3389/fmars.2023.1305536","title":"Use of satellite imagery to estimate distribution and abundance of Cumberland Sound beluga whales reveals frequent use of a glacial river estuary","year":2024,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Fisheries and Oceans Canada","funders":"Crown-Indigenous Relations and Northern Affairs Canada","keywords":"Beluga Whale; Fjord; Estuary; Beluga; Critical habitat; Fishery; Whale; Oceanography; Abundance (ecology); Aerial survey; Habitat; Geography; Environmental science; Ecology; Biology; Geology; Remote sensing; Endangered species; Arctic","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006546405,0.0001641029,0.0003577515,0.0001097219,0.00007378279,0.00006309168,0.0002893207,0.00003556688,0.00004757981],"category_scores_gemma":[0.0004148486,0.0001491268,0.00004626925,0.001151767,0.001891459,0.0008524169,0.001361813,0.0001006535,0.000004451903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000207415,"about_ca_system_score_gemma":0.00003198295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003471925,"about_ca_topic_score_gemma":0.001240031,"domain_scores_codex":[0.9981931,0.00004624632,0.0004260562,0.0004937374,0.0005202201,0.0003205895],"domain_scores_gemma":[0.9993316,0.0001073141,0.0001396314,0.0002806265,0.00003955283,0.0001012663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004548177,0.00004365922,0.9239265,0.0001732207,0.000009287513,0.00001127077,0.0002728467,0.0002247912,0.004072065,0.0001506335,0.0009009404,0.07016934],"study_design_scores_gemma":[0.00009282311,0.0001012499,0.990382,0.0001795078,0.00002096724,0.000004916204,0.00002314407,0.001310445,0.001307636,0.00162375,0.004800864,0.0001527571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964203,0.0003746214,0.002216706,0.0000802259,0.0002460447,0.0003077577,0.00006574307,0.00001344926,0.0002751999],"genre_scores_gemma":[0.9171795,0.001037228,0.0815293,0.00003816508,0.00001211366,0.00001082794,0.000007521191,0.000009186134,0.0001761181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07931259,"threshold_uncertainty_score":0.6969159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007878634244214,"score_gpt":0.2666350987516171,"score_spread":0.2465563124091749,"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."}}