{"id":"W2145527392","doi":"10.1186/s40462-014-0019-0","title":"Detecting changes in the annual movements of terrestrial migratory species: using the first-passage time to document the spring migration of caribou","year":2014,"lang":"en","type":"article","venue":"Movement Ecology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Hydro-Québec; Canadian Wildlife Federation; ArcticNet; Natural Sciences and Engineering Research Council of Canada; Ministère des Forêts, de la Faune et des Parcs","keywords":"Animal ecology; Geography; Range (aeronautics); Phenology; Bird migration; Habitat; Physical geography; Ecology; Ice calving; Ursus; Climate change; Population; Biology; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0004904657,0.000320232,0.0001887363,0.002481906,0.0003410436,0.0004932113,0.0003521112,0.0002709747,0.0007277986],"category_scores_gemma":[0.001610943,0.0001052373,0.0002530097,0.001260501,0.0001777656,0.0002102294,0.0001829337,0.0001988448,0.0002404193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007397094,"about_ca_system_score_gemma":0.0009934399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1592395,"about_ca_topic_score_gemma":0.2876391,"domain_scores_codex":[0.9998154,0.00003223658,0.00001251147,0.00005705746,0.00004823636,0.0000345517],"domain_scores_gemma":[0.9989256,0.0002461054,0.00031278,0.00006034098,0.0003402488,0.0001148866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001229172,0.00006615972,0.9447185,0.00006531191,0.0001007077,0.0001558824,0.0003557362,0.004037773,0.01241421,0.00006981039,0.0004315444,0.03746148],"study_design_scores_gemma":[0.000005816279,0.0001033911,0.96905,0.00001527005,0.00003856316,0.0001963823,0.0002597158,0.0274761,0.002064492,0.00004418292,0.0007309563,0.00001498527],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920599,0.0001654991,0.006161255,0.00002335898,0.000007711767,0.00003203592,0.0007724865,0.0000866703,0.00069104],"genre_scores_gemma":[0.9864894,0.00009107182,0.01203375,0.00000823857,0.000006168157,0.00002386919,0.0009628689,0.000009485675,0.0003751829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1592395,"threshold_uncertainty_score":0.3166252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652523648317926,"score_gpt":0.2336340029245875,"score_spread":0.2171087664414083,"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."}}