{"id":"W4367555722","doi":"10.1186/s40462-022-00356-z","title":"Atmospheric pressure predicts probability of departure for migratory songbirds","year":2023,"lang":"en","type":"article","venue":"Movement Ecology","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Wildlife Conservation Society Canada; Acadia University; Birds Canada","funders":"Cornell Lab of Ornithology; U.S. Fish and Wildlife Service; Cooper Ornithological Society; Michigan Department of Natural Resources; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; Smithsonian Institution","keywords":"Bird migration; Animal ecology; Geography; Environmental science; Cloud cover; Precipitation; Meteorology; Climatology; Ecology; Cloud computing; Computer science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003279329,0.0001142006,0.0001927101,0.000007404335,0.00009993613,0.000002684071,0.0002086996,0.0001865254,0.002378237],"category_scores_gemma":[0.00006440511,0.0001039494,0.00007225615,0.0001833992,0.0002422507,0.00006627037,0.0001784976,0.00008186552,0.0001861102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006930864,"about_ca_system_score_gemma":0.00002246907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001385664,"about_ca_topic_score_gemma":0.001208883,"domain_scores_codex":[0.9989169,0.00005750598,0.0002347118,0.0003214348,0.0001128341,0.0003565672],"domain_scores_gemma":[0.999487,0.00009592056,0.0001041596,0.0002392646,0.00001202853,0.0000616698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003432058,0.0002172897,0.9676707,0.00003321411,0.0000228297,0.000003242591,0.0001354707,0.0008270605,0.001707044,0.00005372596,0.02825916,0.001035891],"study_design_scores_gemma":[0.0004344612,0.0004152411,0.9794869,0.000001928559,0.00005201062,4.691925e-7,0.00003940817,0.0005469901,0.001629629,0.002546635,0.01475168,0.00009462587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976109,0.00001736777,0.00009323543,0.0004561689,0.0003041435,0.0009557387,0.00004524206,0.00008804224,0.0004291848],"genre_scores_gemma":[0.9931785,0.000005639532,0.001184031,0.0005487555,0.00002867817,0.0005310267,0.0000241339,0.00001326187,0.004486008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01350748,"threshold_uncertainty_score":0.9985337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133983120144608,"score_gpt":0.229988779252555,"score_spread":0.218648948051109,"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."}}