{"id":"W3171744092","doi":"10.1186/s40462-021-00268-4","title":"Fusion of wildlife tracking and satellite geomagnetic data for the study of animal migration","year":2021,"lang":"en","type":"article","venue":"Movement Ecology","topic":"Electromagnetic Fields and Biological Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Environment Research Council; Sight Research UK; Leverhulme Trust","keywords":"Earth's magnetic field; Geomagnetic storm; Space weather; Animal ecology; Satellite; Environmental science; Geodesy; Remote sensing; Geophysics; Geology; Magnetic field; Physics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002244212,0.0000668141,0.0001264412,0.000009857223,0.0000422188,0.000005098284,0.0001314019,0.0000818814,0.00001576434],"category_scores_gemma":[0.0001385457,0.00004501144,0.00002253603,0.00003899034,0.00004683548,0.000001734394,0.0002035384,0.00003451269,8.770005e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001924447,"about_ca_system_score_gemma":0.00002116726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003017,"about_ca_topic_score_gemma":0.0009708327,"domain_scores_codex":[0.9993436,0.00007218819,0.0001855373,0.0002366851,0.00004926439,0.0001126647],"domain_scores_gemma":[0.9994364,0.0001049108,0.00008224345,0.0002946455,0.00006661277,0.00001514964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001415156,0.0002958225,0.01860848,0.00002590811,0.00004475434,0.0000010772,0.00003636305,0.000005142831,0.9689006,0.00006127443,0.0002616784,0.01161738],"study_design_scores_gemma":[0.002116968,0.04665498,0.6705497,0.00001109841,0.0001490302,0.000005574194,0.0007014464,0.001289461,0.2739101,0.0002537298,0.004195164,0.0001627497],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972559,0.001433258,0.00015778,0.0006522273,0.00004575303,0.0004122452,0.00001559931,0.000001629115,0.0000255926],"genre_scores_gemma":[0.9983771,0.000665525,0.0002233557,0.0004964067,0.00004279494,0.00002288578,0.0001164913,0.000003783917,0.00005164326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6949905,"threshold_uncertainty_score":0.1835513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02136523862085798,"score_gpt":0.2705689554209095,"score_spread":0.2492037168000515,"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."}}