{"id":"W3126894306","doi":"10.14430/arctic72239","title":"New Insights on Polar Bear (&lt;i&gt;Ursus maritimus&lt;/i&gt;) 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003471346,0.0003098108,0.00022092,0.0008551018,0.0003194249,0.0008015877,0.0001611699,0.000230773,0.0007267797],"category_scores_gemma":[0.0002784583,0.0002205925,0.000155948,0.0004985295,0.000310279,0.0003929362,0.0002542262,0.000280177,0.0002996326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003506896,"about_ca_system_score_gemma":0.0002720322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01320485,"about_ca_topic_score_gemma":0.04684163,"domain_scores_codex":[0.9998809,0.00001649131,0.000007401122,0.00004297514,0.00003877981,0.00001350855],"domain_scores_gemma":[0.9998349,0.00003311885,0.00006171981,0.00001213386,0.00003787922,0.00002022371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001071383,0.00005096656,0.3108384,0.0002410505,0.0001263966,0.0003289787,0.00104206,0.0007336371,0.6136436,0.0004736882,0.001271899,0.07114216],"study_design_scores_gemma":[0.000004026713,0.00008039293,0.9622216,0.00006563139,0.0000605112,0.0004830407,0.0009866508,0.002304812,0.02133837,0.0004453287,0.0119914,0.00001818353],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747483,0.003369394,0.01501031,0.0003712339,0.00004058231,0.00002409371,0.002356148,0.0000836525,0.003996301],"genre_scores_gemma":[0.9250995,0.005219962,0.05912599,0.0009976591,0.00009610442,0.00004298674,0.004165655,0.0001094017,0.00514278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01320485,"threshold_uncertainty_score":0.02625597,"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."}}