{"id":"W6931296159","doi":"10.5281/zenodo.4322799","title":"jbrow247/LBBG_MigrationPlasticity_Pub: Long-distance migrants vary migratory behaviour as much as short-distance migrants: an individual-level comparison from a seabird species with diverse migration strategies","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Vlaamse regering; Agentschap voor Natuur en Bos; Rijksuniversiteit Groningen; Universiteit Antwerpen; Fonds Wetenschappelijk Onderzoek; Scottish Funding Council; Vlaams Instituut voor de Zee; Netherlands eScience Center; LifeWatch – Niclas Öberg Foundation; Koninklijk Nederlands Instituut voor Onderzoek der Zee; Natural Resources Wales; European Regional Development Fund; Natural England; Highlands and Islands Enterprise","keywords":"Seabird; Population; Habitat; Selection (genetic algorithm); Foraging","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008767917,0.0007318336,0.0005310134,0.001154046,0.0005513994,0.001447026,0.0008124842,0.0006596146,0.2332376],"category_scores_gemma":[0.001027629,0.0004957247,0.000523606,0.00129129,0.0004657882,0.0009117824,0.0008235819,0.0006988621,0.0928179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003772249,"about_ca_system_score_gemma":0.0006137356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003975118,"about_ca_topic_score_gemma":0.006372552,"domain_scores_codex":[0.9997231,0.00002630128,0.00001858029,0.0000751816,0.00009001193,0.00006678416],"domain_scores_gemma":[0.9991491,0.0001548992,0.0001358,0.0001810877,0.0001015648,0.0002775337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003576782,0.0005598138,0.02802222,0.0007755252,0.0001803264,0.0004180095,0.0003675906,0.0006132078,0.03541768,0.005870466,0.6726122,0.2515862],"study_design_scores_gemma":[0.0004845662,0.0006196356,0.2814982,0.0001691485,0.000150004,0.00131695,0.000236967,0.001433241,0.02042813,0.003105558,0.6904119,0.0001456413],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1901496,0.004095027,0.01539597,0.00449629,0.003666489,0.0002888391,0.5985922,0.02060355,0.162712],"genre_scores_gemma":[0.268407,0.001934241,0.01053354,0.000776128,0.0007349635,0.0003463491,0.3745007,0.01104715,0.33172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2332376,"threshold_uncertainty_score":0.7802575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05622730014564977,"score_gpt":0.2725084419594166,"score_spread":0.2162811418137668,"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."}}