{"id":"W2474980629","doi":"10.1242/jeb.144709","title":"High-altitude bar-headed geese outperform Vancouver cousins","year":2016,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Neuroscience of respiration and sleep","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Effects of high altitude on humans; Bird flight; Altitude (triangle); Ecology; Geography; Biology; Meteorology; Wing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004459303,0.0003014504,0.0002729508,0.0004046662,0.001414523,0.001418022,0.0003446946,0.0003872163,0.009204551],"category_scores_gemma":[0.001301029,0.0001217702,0.0001793776,0.0002524073,0.0005673427,0.0007258149,0.0009799107,0.0007066527,0.001342728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009744787,"about_ca_system_score_gemma":0.0007908655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2664401,"about_ca_topic_score_gemma":0.5965123,"domain_scores_codex":[0.9997748,0.00002683056,0.000006705281,0.000041117,0.00006756631,0.00008310474],"domain_scores_gemma":[0.9984799,0.00005594206,0.00008029408,0.00004523349,0.0003530259,0.000985558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006883765,0.0009743424,0.8309214,0.0001392691,0.0001539491,0.000902054,0.01290802,0.0001947919,0.004345422,0.001142225,0.03805886,0.1095713],"study_design_scores_gemma":[0.00003708352,0.0007460487,0.9196344,0.0001724097,0.00005475583,0.0004505353,0.03112408,0.0006259204,0.0006708003,0.0003258313,0.04610933,0.00004872509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868308,0.0003474591,0.00006707661,0.0009680177,0.0001508654,0.00001274343,0.0001988838,0.00001619283,0.01140797],"genre_scores_gemma":[0.9748249,0.0005346476,0.0002384219,0.0006202603,0.00003953588,0.000008202558,0.0003378055,0.00001716665,0.02337894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7335599,"threshold_uncertainty_score":0.5297785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03717708810617906,"score_gpt":0.3169480147172159,"score_spread":0.2797709266110369,"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."}}