{"id":"W3174178632","doi":"10.3354/meps13798","title":"Long-term tracking of an Arctic-breeding seabird indicates high fidelity to pelagic wintering areas","year":2021,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Norsk institutt for naturforskning; Mattilsynet; Norsk Polarinstitutt; Norges Forskningsråd; Institut Polaire Français Paul Emile Victor; Nature; McGill University","keywords":"Pelagic zone; Seabird; Arctic; Geolocation; Population; Foraging; Ecology; Geography; Environmental science; Biology; Predation; Computer science; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004880392,0.0001747027,0.0002011602,0.0005721042,0.0002881443,0.0004633196,0.0001910167,0.0002091306,0.001043812],"category_scores_gemma":[0.00111093,0.0001616552,0.0001709716,0.0004872422,0.0002601348,0.0002602388,0.000291307,0.0002012456,0.0003199708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002060927,"about_ca_system_score_gemma":0.0001397729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01120092,"about_ca_topic_score_gemma":0.03885599,"domain_scores_codex":[0.9997771,0.00004968218,0.00002182934,0.000076441,0.000037928,0.00003705294],"domain_scores_gemma":[0.9985344,0.0001718019,0.0008421298,0.000121559,0.0001884668,0.0001415392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003115826,0.00001254449,0.9946988,0.000009445261,0.00004532722,0.00002087771,0.0001056868,0.00007218905,0.002700414,0.000007645869,0.00004842672,0.002247658],"study_design_scores_gemma":[2.774469e-7,0.00002185725,0.9996463,0.000001430402,0.000005812592,0.00003420625,0.00004966374,0.00008003012,0.0001119267,0.000002749912,0.00004477781,8.986563e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991102,0.000047829,0.0002586415,0.000005002453,0.000002329582,0.000002942319,0.000224708,0.000006734869,0.0003415532],"genre_scores_gemma":[0.9989231,0.00003607809,0.0004786243,0.000006871664,0.00000322285,0.000004399647,0.0003746209,0.000002489433,0.0001704802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01120092,"threshold_uncertainty_score":0.02227145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409765951644601,"score_gpt":0.2606272607723184,"score_spread":0.2465296012558724,"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."}}