{"id":"W4313403018","doi":"10.1177/01708406221148316","title":"Media Review: Dead Reckoning: Air Traffic Control, System Effects, and Risk","year":2022,"lang":"en","type":"article","venue":"Organization Studies","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Dead reckoning; Control (management); Computer science; Artificial intelligence; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005509598,0.001060273,0.002183039,0.004637468,0.0009601053,0.004422579,0.002030509,0.005986019,0.01207232],"category_scores_gemma":[0.03152893,0.000510247,0.001292686,0.005399784,0.001929229,0.002871049,0.001656121,0.003884873,0.003021636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002971605,"about_ca_system_score_gemma":0.01045172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01530335,"about_ca_topic_score_gemma":0.02713313,"domain_scores_codex":[0.9969994,0.001069352,0.0004570896,0.0003379674,0.0009627332,0.000173529],"domain_scores_gemma":[0.9604428,0.02458398,0.00354155,0.0006216991,0.009985842,0.0008242304],"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":[0.0003746223,0.00007177021,0.0005405025,0.04023957,0.0006669266,0.0001088685,0.00006618892,0.0002478533,0.0002027795,0.004485515,0.7151218,0.2378737],"study_design_scores_gemma":[0.0002411516,0.0002044555,0.004539979,0.07344551,0.001700813,0.0003097405,0.0002244901,0.0002303537,0.0001946986,0.004469036,0.9143784,0.00006144286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001366303,0.9615458,0.0001151345,0.02227239,0.01344867,0.00001672491,0.0001341656,0.000007737425,0.002322749],"genre_scores_gemma":[0.002805458,0.9528429,0.0001601717,0.01659881,0.02579572,0.00003590821,0.00009923297,0.000008278862,0.001653555],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01530335,"threshold_uncertainty_score":0.04038596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004878328210913221,"score_gpt":0.1858185153342271,"score_spread":0.1809401871233138,"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."}}