{"id":"W3126894306","doi":"10.14430/arctic72239","title":"New Insights on Polar Bear (<i>Ursus maritimus</i>) Diet from Faeces based on Next-Generation Sequencing Technologies","year":2021,"lang":"en","type":"article","venue":"ARCTIC","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Government of Nunavut","funders":"Natural Sciences and Engineering Research Council of Canada; Nunavut Wildlife Management Board; Nunavut General Monitoring Plan","keywords":"Ursus maritimus; Phoca; Lagopus; Larus; Biology; Vulpes; Zoology; Marine mammal; Arctic; Ecology; Fishery; Predation; Herring","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001027728,0.0002734262,0.0002631628,0.00005174441,0.0003270378,0.0001130786,0.0003231989,0.0001287562,0.002074281],"category_scores_gemma":[0.0003426828,0.0002516524,0.0001006916,0.0004348364,0.0001211447,0.0002614033,0.0004234847,0.0002300409,0.0009146643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005945555,"about_ca_system_score_gemma":0.00005039221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004732007,"about_ca_topic_score_gemma":0.02160969,"domain_scores_codex":[0.9980835,0.0001007978,0.0002586723,0.0006681934,0.0005173471,0.0003714923],"domain_scores_gemma":[0.9990251,0.0001933949,0.00009395513,0.000575266,0.00001989813,0.00009235949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002876653,0.0006047282,0.03517369,0.000122873,0.0002416971,0.0006651261,0.001112503,0.007352553,0.7211248,0.006012602,0.02292384,0.2043779],"study_design_scores_gemma":[0.003206409,0.003835555,0.3453592,0.0007405626,0.000381498,0.00001856638,0.0007985769,0.0424372,0.1130596,0.01443103,0.4729362,0.002795591],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629386,0.0023881,0.0001931108,0.004299147,0.0003618012,0.0003734137,0.00002593147,0.0003587384,0.02906113],"genre_scores_gemma":[0.9926783,0.0005037214,0.004537381,0.001556408,0.0001178844,0.00002371144,0.00006289563,0.00002829654,0.0004913448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6080652,"threshold_uncertainty_score":0.9999936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03901223071808037,"score_gpt":0.2268709753512318,"score_spread":0.1878587446331514,"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."}}