{"id":"W2079379413","doi":"10.1109/mspec.2015.7095197","title":"Keep on flying [Numbers Don't Lie]","year":2015,"lang":"en","type":"article","venue":"IEEE Spectrum","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aeronautics; Crash; Aviation; Crew; Aviation safety; Civil aviation; Engineering; Computer science; Aerospace 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000964788,0.0009566753,0.0006084177,0.0005976213,0.006433638,0.005598995,0.001357478,0.003791944,0.2587059],"category_scores_gemma":[0.008805189,0.0003542445,0.0006000252,0.0004522898,0.001572506,0.005614475,0.003276703,0.005592417,0.1955352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069426,"about_ca_system_score_gemma":0.001643169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01571472,"about_ca_topic_score_gemma":0.02251394,"domain_scores_codex":[0.9987356,0.0002665495,0.00005651628,0.0001685037,0.0004259571,0.0003468394],"domain_scores_gemma":[0.9967615,0.0001910713,0.0001729095,0.0001746017,0.001521476,0.001178491],"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":[0.00001665559,0.00001849548,0.0005121082,0.00004700778,0.000004618674,0.0000831272,0.0004850532,0.000009210346,0.00008400279,0.001086719,0.964335,0.033318],"study_design_scores_gemma":[0.000006200002,0.00002644689,0.0009113356,0.0001190089,0.000003432365,0.0001430353,0.001555173,0.0000236894,0.00004602411,0.0004373166,0.9967097,0.00001862925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005811884,0.006034094,0.002794993,0.2921994,0.1103639,0.0002626265,0.001713462,0.004658926,0.5761608],"genre_scores_gemma":[0.02693571,0.003929409,0.002273215,0.1647365,0.008067473,0.0002388111,0.001387582,0.001180373,0.791251],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2587059,"threshold_uncertainty_score":0.8654574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777874582599221,"score_gpt":0.205426410715921,"score_spread":0.1876476648899288,"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."}}