{"id":"W4390674509","doi":"10.1186/s40462-023-00444-8","title":"Simultaneous estimation of the temporal and spatial extent of animal migration using step lengths and turning angles","year":2024,"lang":"en","type":"article","venue":"Movement Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Alberta; Government of Nunavut; Inuit Tapiriit Kanatami; University of British Columbia; Government of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Animal ecology; Ursus; Buteo; Bird migration; Satellite tracking; Geography; Ecology; Arctic; Movement (music); Wildlife; Predation; Physical geography; Biology; Population; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001475469,0.00005374566,0.00007855897,0.00002078305,0.0000675292,0.0000068686,0.00003556631,0.00005106609,0.00009967277],"category_scores_gemma":[0.00005023404,0.00004216868,0.00001406663,0.0000575247,0.000154674,0.0000775595,0.00008103183,0.00004595257,0.000001279432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004216791,"about_ca_system_score_gemma":0.00001231038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007520689,"about_ca_topic_score_gemma":0.002761202,"domain_scores_codex":[0.999515,0.00005271975,0.0001643139,0.0001253245,0.00006828212,0.00007436108],"domain_scores_gemma":[0.999725,0.0001249894,0.00007843367,0.00005399742,0.000005182942,0.00001236515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002650481,0.00003307037,0.956394,0.00002825401,0.00001301767,0.000002422129,0.0004153732,0.01093122,0.02125478,0.0001692514,0.00004394745,0.0106882],"study_design_scores_gemma":[0.00007562976,0.0001316064,0.5690514,0.000009376568,0.00001514496,0.000002309244,0.0000501573,0.4291932,0.001121672,0.0002931,0.00002980267,0.00002653084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975107,0.00005413448,0.001638035,0.0004850315,0.0001042061,0.0001626839,0.000003315387,0.000007073432,0.0000347624],"genre_scores_gemma":[0.9989969,0.00000764738,0.0008119752,0.000132388,0.00001053694,0.00000452383,0.000002926457,0.000003305213,0.00002984809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.418262,"threshold_uncertainty_score":0.1719589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008809281462443122,"score_gpt":0.2282954942998964,"score_spread":0.2194862128374533,"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."}}