{"id":"W2962136748","doi":"10.14288/1.0356634","title":"Emissions from UBC air travel","year":2017,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air travel; Environmental science; Meteorology; Business; Geography; Aviation; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001150624,0.00003083102,0.0002821762,0.00003864165,0.0006452047,0.0001284833,0.0004485465,0.0001232712,0.001961627],"category_scores_gemma":[0.00004583293,0.000124859,0.0001660598,0.00007546243,0.0001419103,0.0003703273,0.0001013576,0.0001144084,0.0001967707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003396338,"about_ca_system_score_gemma":0.00001749283,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2185962,"about_ca_topic_score_gemma":0.08525083,"domain_scores_codex":[0.9993411,0.000007258168,0.0001620876,0.000313315,0.00003905388,0.0001372417],"domain_scores_gemma":[0.9989505,0.00001575193,0.0004119793,0.0004792062,0.00004104292,0.0001015009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000375052,0.000179673,0.8241098,0.0000108116,0.0001909012,0.00005417792,0.0002232403,0.00001468308,0.0000210295,0.0003694346,0.01411015,0.1607124],"study_design_scores_gemma":[0.0005383805,0.00001196697,0.9896217,0.00002578413,0.00001837095,0.000001265387,0.0003619333,0.0003367785,4.241766e-7,0.00438789,0.004561714,0.0001337688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520288,0.000150157,0.001321743,0.0004263725,0.0001401039,0.00004083762,0.00118405,0.00001754585,0.04469047],"genre_scores_gemma":[0.9916579,0.00009072053,0.0002416142,0.00003139142,0.00004783272,1.980679e-7,0.00004204944,0.000007067544,0.007881272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1655119,"threshold_uncertainty_score":0.9989507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0251156537695704,"score_gpt":0.1860446055315853,"score_spread":0.1609289517620149,"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."}}