{"id":"W7133275878","doi":"","title":"Genetic assessment of beluga in Cumberland Sound","year":2022,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beluga Whale; Sound (geography); Beluga; Population; Aerial survey; Genetic monitoring","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006704288,0.0003174125,0.0002527903,0.002690056,0.001736402,0.0007055908,0.0004444058,0.0003476632,0.001684757],"category_scores_gemma":[0.001410367,0.0001720534,0.0001776284,0.001550745,0.0007777902,0.0002621541,0.0005307538,0.0002818381,0.0002521995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003706422,"about_ca_system_score_gemma":0.00140396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5813011,"about_ca_topic_score_gemma":0.830541,"domain_scores_codex":[0.9994741,0.00005230697,0.00002608552,0.0001773658,0.0001577865,0.0001123692],"domain_scores_gemma":[0.9989773,0.00008414075,0.0001557448,0.00004599221,0.0004752085,0.0002617222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001486748,0.00006519068,0.9723599,0.00002375935,0.00005306373,0.0003387387,0.003323808,0.0003296249,0.009546199,0.0001865798,0.0005096071,0.01311486],"study_design_scores_gemma":[0.000003079199,0.00005882283,0.9973302,0.0000134484,0.00001468007,0.00008124846,0.001148958,0.0003102426,0.0001705512,0.0000228709,0.0008398489,0.000006028336],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982647,0.00007713094,0.0001412733,0.00003924665,0.00000538967,0.000016872,0.0002532315,0.000007536859,0.001194657],"genre_scores_gemma":[0.9970623,0.0001045487,0.001034953,0.00005870645,0.000005994565,0.00002365862,0.0007477734,0.000006764921,0.0009554363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4186989,"threshold_uncertainty_score":0.8423294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008913789322208952,"score_gpt":0.2556876639561694,"score_spread":0.2467738746339604,"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."}}