{"id":"W2122069150","doi":"10.5539/ass.v11n26p212","title":"Free Flying and China Dream","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aviation; Dream; Connotation; China; Presentation (obstetrics); Aviation engineering; Reflection (computer programming); Political science; Aeronautics; Management; Business; Civil aviation; Engineering; Psychology; Computer science; Law; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000169982,0.0000378097,0.00003618896,0.00003419078,0.0001621434,0.00005978732,0.0001361347,0.00001625006,0.000006671194],"category_scores_gemma":[0.00002359168,0.00003844938,0.000006188141,0.0002676477,0.0001045884,0.0002375581,0.00004433293,0.00003146271,0.000004871874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003050263,"about_ca_system_score_gemma":0.00001078786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005210216,"about_ca_topic_score_gemma":0.000004795235,"domain_scores_codex":[0.9996123,0.00000301589,0.00004247787,0.00007694086,0.0001426096,0.0001226608],"domain_scores_gemma":[0.9998723,0.000001567167,0.00000744008,0.00005274758,0.00001170252,0.00005426639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001892422,0.000009902014,0.000637489,0.00001657948,0.000005882822,0.000002821689,0.01508315,0.000944062,0.0001257778,0.04254003,0.01424907,0.9263833],"study_design_scores_gemma":[0.002232348,0.0001186705,0.4375038,0.00004236913,0.00004982177,0.000006269799,0.01415241,0.4789021,0.0004975444,0.02321242,0.041954,0.001328192],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01462043,0.00003330708,0.02113355,0.000373136,0.0002477576,0.0000761151,9.066595e-7,0.0002224451,0.9632924],"genre_scores_gemma":[0.9983376,0.000004150364,0.001417416,0.00001678715,0.00008096526,0.000001774907,6.499142e-7,0.000003975494,0.000136698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9837171,"threshold_uncertainty_score":0.156792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007935303499073,"score_gpt":0.217808502728376,"score_spread":0.2077291496933853,"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."}}