{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006306277,0.000691674,0.0001597324,0.0005770898,0.002099243,0.001408339,0.0003558256,0.0009081071,0.2788751],"category_scores_gemma":[0.0009348708,0.0002855993,0.0002683482,0.0003491955,0.0003195964,0.001415077,0.002032805,0.001178045,0.100953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005753348,"about_ca_system_score_gemma":0.002051418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01267431,"about_ca_topic_score_gemma":0.03435178,"domain_scores_codex":[0.9996159,0.00004692836,0.000009449376,0.00004458326,0.0001081572,0.0001749538],"domain_scores_gemma":[0.9991848,0.00002969734,0.0000284396,0.00003222098,0.0001802726,0.0005446362],"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":[0.00008742809,0.0001986796,0.006431814,0.00007026745,0.00000561468,0.00005774985,0.0002024854,0.00003899524,0.001133762,0.0008229142,0.8634973,0.1274531],"study_design_scores_gemma":[0.00002333748,0.0001502466,0.01105927,0.000106518,0.000006070796,0.00007967224,0.0009713923,0.00008876618,0.0002718586,0.0001548216,0.987084,0.000004034611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06487842,0.005020549,0.002962193,0.03745143,0.01527084,0.0006633207,0.009314046,0.001911976,0.8625274],"genre_scores_gemma":[0.04834748,0.002265699,0.001284996,0.007643504,0.0006970679,0.0001953427,0.003727847,0.0001183996,0.9357198],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2788751,"threshold_uncertainty_score":0.9329301,"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."}}