{"id":"W4206342352","doi":"10.1088/1757-899x/887/1/011001","title":"Preface","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Government (linguistics); Prosperity; China; Public relations; Order (exchange); Coronavirus disease 2019 (COVID-19); Political science; Engineering; Engineering ethics; Media studies; Sociology; Medicine; Business; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001685426,0.001154131,0.0008072871,0.002016111,0.003193389,0.004381569,0.001609936,0.001617214,0.5502629],"category_scores_gemma":[0.0112197,0.0003550712,0.0006115801,0.001619607,0.0007841831,0.003677691,0.002612634,0.00355235,0.3840057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002045247,"about_ca_system_score_gemma":0.003031374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003365453,"about_ca_topic_score_gemma":0.003697226,"domain_scores_codex":[0.9986507,0.0002054655,0.0001078202,0.0002722947,0.0006142256,0.000149491],"domain_scores_gemma":[0.9950874,0.0007317548,0.0001939758,0.0003924318,0.002781758,0.0008127279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003554419,0.00001833172,0.0001077439,0.0001139969,0.000001739396,0.00006387547,0.000159346,0.00003844907,0.0001271125,0.00368706,0.9656811,0.02996575],"study_design_scores_gemma":[0.000003264149,0.00001440018,0.0002117516,0.00007575341,9.093877e-7,0.00006093719,0.0001392637,0.0000172782,0.00005154502,0.0009881187,0.9984331,0.000003756776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0023854,0.006935884,0.006180828,0.02935367,0.1525068,0.0009726171,0.01765904,0.002044423,0.7819613],"genre_scores_gemma":[0.008813123,0.004309873,0.002735825,0.007904856,0.01717436,0.0005559221,0.01355753,0.001022487,0.943926],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4497371,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04346688262110771,"score_gpt":0.2031749759530012,"score_spread":0.1597080933318935,"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."}}