{"id":"W588569460","doi":"","title":"Setting the Mantrap","year":2007,"lang":"en","type":"article","venue":"Airports international","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Doors; Computer security; Airport security; Access control; Border Security; Transport engineering; Identification (biology); Air traffic control; Engineering; Business; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007496487,0.00005616516,0.00007657715,0.0001029078,0.0001023775,0.00004782674,0.0001906807,0.00004186019,0.003072763],"category_scores_gemma":[0.00004746989,0.0000486677,0.00007993551,0.0001063493,0.00002842195,0.0001195865,0.00003055986,0.0001093282,0.0003514963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003718306,"about_ca_system_score_gemma":0.00000482186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003135496,"about_ca_topic_score_gemma":0.00001449467,"domain_scores_codex":[0.9993013,0.000002528736,0.0003708513,0.000153459,0.00004940869,0.0001224828],"domain_scores_gemma":[0.9995173,0.00003815783,0.0002486055,0.0001407556,0.00002709636,0.00002814798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000002618845,0.00002529977,0.4507502,5.334676e-7,0.00007789335,0.00001059352,0.0001038977,0.00007183344,0.000001720438,0.5341547,0.008985787,0.005814913],"study_design_scores_gemma":[0.0001437485,0.000005674493,0.5176944,0.000003269188,0.000004225054,0.00001508089,0.00009270694,0.001175255,0.00005873026,0.03080004,0.4499032,0.0001036399],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1131548,0.0002459404,0.03337914,0.01054581,0.001957016,0.00006308361,0.00005089034,0.00004906638,0.8405542],"genre_scores_gemma":[0.9880806,0.000008702094,0.0002440357,0.0006881173,0.000398965,0.0000029705,0.00003188487,0.000005874152,0.01053881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8749259,"threshold_uncertainty_score":0.9978386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347835911556402,"score_gpt":0.2409675649743381,"score_spread":0.2174892058587741,"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."}}