{"id":"W2731946439","doi":"10.1093/icb/icx068","title":"Do Bar-Headed Geese Train for High Altitude Flights?","year":2017,"lang":"en","type":"article","venue":"Integrative and Comparative Biology","topic":"High Altitude and Hypoxia","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences","keywords":"Altitude (triangle); Effects of high altitude on humans; Heart rate; Hypoxia (environmental); Low altitude; Animal science; Context (archaeology); Biology; Blood pressure; Oxygen; Anatomy; Endocrinology; Chemistry; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003034461,0.0002003838,0.0002255327,0.000316529,0.0002073099,0.0003541641,0.0003908983,0.0006168037,0.001825615],"category_scores_gemma":[0.0008151038,0.0000589946,0.0001078676,0.0003245095,0.0004404528,0.0004467762,0.0001840966,0.000267217,0.0006294738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001514502,"about_ca_system_score_gemma":0.0001480995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00517568,"about_ca_topic_score_gemma":0.009807881,"domain_scores_codex":[0.9999459,0.00001446751,0.00001093925,0.00001247727,0.000008590547,0.000007620019],"domain_scores_gemma":[0.9997041,0.00007493966,0.0000948778,0.00001130494,0.00007010022,0.00004477464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001289054,0.0002107215,0.6894184,0.003040967,0.0002108196,0.003100837,0.00465548,0.000297899,0.01846259,0.0009202066,0.0226019,0.2557911],"study_design_scores_gemma":[0.00002043271,0.0007735232,0.9491883,0.0004502591,0.00009670566,0.002426485,0.006129217,0.0003043746,0.001053373,0.001122325,0.03840393,0.00003100299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9317886,0.036786,0.002106833,0.01421688,0.002089082,0.0001617876,0.001609081,0.00006450513,0.01117728],"genre_scores_gemma":[0.9558322,0.02824059,0.001369741,0.004339939,0.001567765,0.00009278238,0.001450528,0.000009019965,0.007097486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00517568,"threshold_uncertainty_score":0.0102911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06091827549287237,"score_gpt":0.354712692256426,"score_spread":0.2937944167635537,"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."}}