{"id":"W4287958842","doi":"10.3389/fmars.2022.938033","title":"Age-Related Interactions with Wind During Migration Support the Hypothesis of Developmental Learning in a Migrating Long-Lived Seabird","year":2022,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Oceanic and Atmospheric Administration; Dalhousie University; Massachusetts MassWildlife Division of Fisheries and Wildlife; University of North Carolina Wilmington; U.S. Department of the Interior","keywords":"Seabird; Bird migration; Shearwater; Foraging; Wind speed; Global wind patterns; Geography; Prevailing winds; Biology; Ecology; Wind direction; Environmental science; Physical geography; Meteorology; Predation","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":[0.0002881715,0.0002010469,0.0001782188,0.0003378715,0.0002393284,0.0002723724,0.0001844962,0.0002489606,0.002116525],"category_scores_gemma":[0.001016533,0.000112288,0.000274173,0.0002113241,0.0002325608,0.0002604627,0.0002524528,0.0003023507,0.0002061668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001376418,"about_ca_system_score_gemma":0.0001211775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002318428,"about_ca_topic_score_gemma":0.006677576,"domain_scores_codex":[0.9998761,0.00002744595,0.00001063633,0.00004670654,0.00001687307,0.00002218473],"domain_scores_gemma":[0.99901,0.0001886254,0.0004371826,0.00009667694,0.00009703515,0.0001704911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000831054,0.00004308007,0.9897383,0.00001495031,0.00004644457,0.0000495237,0.0001679919,0.0001288876,0.00632465,0.00002743438,0.00004910448,0.003326561],"study_design_scores_gemma":[3.092958e-7,0.00003141925,0.9997236,9.468685e-7,0.000003553008,0.0000139858,0.00004790585,0.00005609416,0.00007437885,0.000009723128,0.00003730538,7.381001e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994333,0.00005848151,0.00017898,0.00001088808,0.000002887287,0.000003024002,0.00006784971,0.000003034367,0.0002415257],"genre_scores_gemma":[0.9994425,0.00003217941,0.0002286885,0.00000947206,0.000004390916,0.000004361543,0.0001107228,0.000001805613,0.0001658034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002318428,"threshold_uncertainty_score":0.007080495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008486779087032973,"score_gpt":0.2076638674317042,"score_spread":0.1991770883446713,"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."}}