{"id":"W246832097","doi":"","title":"$2.7 Trillion Up In The Air: Aircraft manufacturer’s predictions; with an infrastructure reanalysis.","year":2007,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Critical infrastructure; Environmental science; Finance; Aeronautics; Meteorology; Computer science; Engineering; Computer security; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000520959,0.0009365741,0.0003955744,0.001237692,0.0003468222,0.001067375,0.001040151,0.0008919108,0.03239499],"category_scores_gemma":[0.001872996,0.0004110133,0.0007548915,0.001672505,0.0002017563,0.001134012,0.000564817,0.001592438,0.01363985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001819596,"about_ca_system_score_gemma":0.001611005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.237775,"about_ca_topic_score_gemma":0.2161699,"domain_scores_codex":[0.9995896,0.00005321832,0.00001314153,0.00004475265,0.0002365903,0.00006276574],"domain_scores_gemma":[0.999534,0.00007277626,0.00003830138,0.00002581084,0.0002810615,0.00004809941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008401872,0.0001373462,0.01204748,0.0001566096,0.0000784622,0.0001629826,0.00005330432,0.02996833,0.0004793355,0.003211325,0.8866581,0.06620672],"study_design_scores_gemma":[0.000514731,0.0003187741,0.1196975,0.0002664253,0.0004182549,0.0003596866,0.001294259,0.1321482,0.004132773,0.005548854,0.7351179,0.0001824868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2395493,0.008593793,0.02926251,0.0195163,0.01234411,0.0005916767,0.3870578,0.006016718,0.2970677],"genre_scores_gemma":[0.5556523,0.003450332,0.01672548,0.001901587,0.0007385451,0.0004307049,0.1650024,0.001357541,0.254741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.237775,"threshold_uncertainty_score":0.472782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03672764722290271,"score_gpt":0.32417837802322,"score_spread":0.2874507308003173,"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."}}