{"id":"W2805894435","doi":"","title":"A Worldwide Review of Selection for Air Traffic Control Personnel","year":2007,"lang":"en","type":"review","venue":"Journal of Bioresource Management","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Air traffic control; Control (management); Risk analysis (engineering); Transport engineering; Computer science; Operations research; Aeronautics; Business; Engineering; Artificial intelligence","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":[0.005001874,0.0007406309,0.001273162,0.00810579,0.0004553192,0.001545952,0.001446301,0.001273034,0.01068456],"category_scores_gemma":[0.01492395,0.0003494466,0.001078846,0.009623007,0.0006105245,0.001483514,0.0009626531,0.001014135,0.003854769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001409125,"about_ca_system_score_gemma":0.005297086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004494553,"about_ca_topic_score_gemma":0.007744379,"domain_scores_codex":[0.9972796,0.0007553069,0.0007813327,0.0002788223,0.0007913548,0.0001135471],"domain_scores_gemma":[0.988247,0.006665668,0.001406718,0.0002212265,0.003055222,0.0004040889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00006420884,0.00003950288,0.0009480416,0.03033105,0.0000871081,0.0000758837,0.0001545173,0.0000902316,0.0001535329,0.001123401,0.08796964,0.8789629],"study_design_scores_gemma":[0.00002329298,0.0001179461,0.006986901,0.04858602,0.0002519519,0.0007258181,0.0002714198,0.00005134408,0.0001532582,0.0005024328,0.9422986,0.00003105143],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003341881,0.9934982,0.0003321253,0.002044178,0.0009994417,0.00003996394,0.0002406808,0.00002335023,0.002487957],"genre_scores_gemma":[0.001525618,0.9951451,0.0005294235,0.001135556,0.0005172089,0.00004018407,0.0003654273,0.00001194612,0.0007294644],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01068456,"threshold_uncertainty_score":0.03574336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183546997280069,"score_gpt":0.2681220418841466,"score_spread":0.2497673421561397,"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."}}