{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002868839,0.00009662429,0.000209723,0.00007752053,0.0001136048,0.0003187362,0.0001838571,0.00003848209,0.000659645],"category_scores_gemma":[0.0001589063,0.0001032663,0.00001454329,0.0003582087,0.0001077968,0.000739711,0.0000786711,0.00005269587,0.0001062398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001688326,"about_ca_system_score_gemma":0.00002614391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002008412,"about_ca_topic_score_gemma":5.70943e-7,"domain_scores_codex":[0.9991937,0.000002234063,0.000257523,0.0002896324,0.00005224546,0.0002047005],"domain_scores_gemma":[0.9996253,0.000004989235,0.00008379776,0.0001090978,0.00004876581,0.0001280868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001331183,0.00001187034,0.001734277,0.00007721663,0.00002375729,0.000004728789,0.001636378,0.0008845634,0.2801363,0.7146112,0.0001706406,0.0006957118],"study_design_scores_gemma":[0.0009718791,0.0004206088,0.08474585,0.00009406008,0.00003029915,0.00003342459,0.001208942,0.03183591,0.7403268,0.006197189,0.1322137,0.001921333],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893308,0.0001133716,0.002339976,0.002942824,0.0002728244,0.00005452356,0.0000523439,0.00007915011,0.00481421],"genre_scores_gemma":[0.9991032,0.00005069865,0.000469555,0.0001400858,0.00008268276,0.000007041944,0.000002912486,0.000006240573,0.0001375984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7084141,"threshold_uncertainty_score":0.722265,"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."}}