{"id":"W3195062174","doi":"","title":"United training 5,000 pilots by 2030, half being women, people of color","year":2021,"lang":"en","type":"article","venue":"FOXBusiness","topic":"Space Exploration and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phoenix; Quarter (Canadian coin); Training (meteorology); Class (philosophy); Medical education; Psychology; History; Geography; Medicine; Computer science; Artificial intelligence; Meteorology; Metropolitan area","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":[0.0000659713,0.0001158198,0.0002213792,0.0001583833,0.00003987956,0.00001865358,0.000101553,0.0001067529,0.0003651659],"category_scores_gemma":[0.0000860409,0.0001307813,0.00002859024,0.001187899,0.00002977268,0.0001090259,0.00003085428,0.0001137901,0.00001869465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004974015,"about_ca_system_score_gemma":0.00002459349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000234863,"about_ca_topic_score_gemma":0.00006816304,"domain_scores_codex":[0.9993315,0.00001415251,0.000180138,0.0001327607,0.0001031517,0.0002383233],"domain_scores_gemma":[0.9995577,0.00003978732,0.00003265632,0.0001930224,0.0001325319,0.00004433011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000985494,0.0004475935,0.007370777,0.001019943,0.0006738228,0.0002005073,0.04175511,0.03469805,0.8026283,0.03946409,0.03559862,0.03604468],"study_design_scores_gemma":[0.005586681,0.0002681236,0.01385856,0.0003412234,0.0001178378,0.0001506251,0.03163795,0.1319999,0.3831697,0.003486087,0.4273064,0.002076953],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901339,0.0001742865,0.006271882,0.0005855547,0.00040757,0.00006706238,0.00001658364,0.0004466809,0.001896448],"genre_scores_gemma":[0.9989748,0.0000336437,0.0004003132,0.00007308467,0.00003251953,0.00003237738,0.00009305272,0.00003325962,0.0003269285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4194586,"threshold_uncertainty_score":0.5333107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434844311133211,"score_gpt":0.205919597421269,"score_spread":0.1915711543099368,"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."}}