{"id":"W2533308569","doi":"10.1007/s00300-016-2040-9","title":"Seasonal marine mammal occurrence detected from passive acoustic monitoring in Scott Inlet, Nunavut, Canada","year":2016,"lang":"en","type":"article","venue":"Polar Biology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cégep de Rimouski; University of Victoria; Government of Canada; Université du Québec à Rimouski; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; City University of New York","keywords":"Marine mammal; Beluga Whale; Inlet; Arctic; Biology; Sound (geography); Abiotic component; Mammal; Beluga; Wildlife; Sea ice; Oceanography; Arctic ice pack; Ecology; Fishery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004476848,0.0002317867,0.0002356704,0.001531174,0.002046559,0.0008071148,0.001021801,0.0003139835,0.001475698],"category_scores_gemma":[0.0009049187,0.0002540534,0.0002316648,0.002514859,0.0005813102,0.0002501849,0.0007389375,0.0003413639,0.0002594193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00996771,"about_ca_system_score_gemma":0.01460937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9933323,"about_ca_topic_score_gemma":0.9986241,"domain_scores_codex":[0.9997084,0.00002269749,0.00002094012,0.00005642843,0.00009823018,0.00009330246],"domain_scores_gemma":[0.9987699,0.00006315209,0.00009852658,0.00002591922,0.0007768738,0.0002655394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009499257,0.00002983356,0.9861271,0.00004498907,0.00003899678,0.0002074682,0.001943842,0.0001463917,0.00158176,0.00009637509,0.001659261,0.008028836],"study_design_scores_gemma":[0.000001767548,0.000008373408,0.9971823,0.00001865811,0.000006932325,0.00003777592,0.001782253,0.00005528263,0.00008239609,0.000004957571,0.0008159463,0.000003484446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895817,0.0007851411,0.0001500259,0.0001729863,0.00002288175,0.00004454837,0.00351623,0.00001859072,0.005707907],"genre_scores_gemma":[0.9924589,0.0009370678,0.0004182394,0.0001110006,0.00001003881,0.0000285352,0.001605757,0.00001216985,0.004418156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00996771,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146049164032537,"score_gpt":0.2251385958388448,"score_spread":0.2136781041985194,"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."}}