{"id":"W2473436258","doi":"10.1126/science.aaf4374","title":"Frigate birds track atmospheric conditions over months-long transoceanic flights","year":2016,"lang":"en","type":"article","venue":"Science","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Meteorology; Environmental science; Track (disk drive); Soar; Altitude (triangle); Atmospheric sciences; Geology; Geography; Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002676832,0.0001164778,0.00009830619,0.0000108766,0.0005010617,0.00002591504,0.0005089011,0.00006277824,0.01346276],"category_scores_gemma":[0.00002483143,0.0000746058,0.00005091728,0.0005490126,0.002128611,0.0008595902,0.00007644805,0.00007468809,0.003338187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001746167,"about_ca_system_score_gemma":0.00004253773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001357077,"about_ca_topic_score_gemma":0.0002221134,"domain_scores_codex":[0.9985778,0.00002365683,0.0001495819,0.000445821,0.0003413857,0.0004617033],"domain_scores_gemma":[0.999439,0.0000397175,0.00004986592,0.0002791806,0.000008785339,0.0001834235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006087555,0.0001162038,0.7063594,0.000001233774,0.000002324707,0.00002934091,0.0002731327,0.00002339675,0.2831532,0.0001282243,0.0005929243,0.009314451],"study_design_scores_gemma":[0.000238556,0.00005574816,0.9769678,0.000008375465,0.00001058547,0.00001155774,0.00001672358,0.00004363057,0.01974157,0.0008877757,0.001865387,0.0001523176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960231,0.00001525464,0.0004761014,0.0004079571,0.0002825278,0.0001478947,0.00001117403,0.00007543046,0.002560542],"genre_scores_gemma":[0.9951271,0.000009469415,0.0004586035,0.0002174096,0.00002087986,0.00001516256,4.746872e-7,0.000007931521,0.004142944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2706083,"threshold_uncertainty_score":0.9974378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007136734932696764,"score_gpt":0.2385537122766877,"score_spread":0.2314169773439909,"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."}}