{"id":"W567330798","doi":"","title":"BRIDGE AUTOMATION : AUTOMATION IMPROVES CUSTOMER SERVICE AND REDUCES OPERATING EXPENSES","year":2003,"lang":"en","type":"article","venue":"Airports international","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Automation; Downtime; Crew; Engineering; Service (business); International airport; Transport engineering; Automotive engineering; Aeronautics; Reliability engineering","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":[0.000273397,0.000101671,0.00008256313,0.00004869524,0.0001719217,0.0001583934,0.00008929009,0.00004419987,0.001392588],"category_scores_gemma":[0.00008723221,0.00008409491,0.00002154883,0.00008752158,0.00002658216,0.0005888458,0.000007026359,0.00006715367,0.0001414235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006384885,"about_ca_system_score_gemma":0.00003013252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006387523,"about_ca_topic_score_gemma":0.000475246,"domain_scores_codex":[0.9991798,0.00005768716,0.0002012355,0.0002014072,0.0002290484,0.0001308351],"domain_scores_gemma":[0.9996374,0.00005168638,0.00009145521,0.00006906778,0.00009264686,0.0000577976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002067472,0.00005806482,0.6801894,0.0000471578,0.00009936076,0.00003711882,0.003972114,0.001620153,0.006663328,0.001751366,0.005646364,0.2998949],"study_design_scores_gemma":[0.0001606937,0.00001973248,0.9751118,0.00002756813,0.000005607502,0.00008327654,0.0003659372,0.01694727,0.001225182,0.0001886087,0.00569893,0.0001653354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704655,0.0001238307,0.00005095162,0.0003322491,0.0007118456,0.00008268981,0.00001880396,0.00009715302,0.02811698],"genre_scores_gemma":[0.9970675,0.00001974694,0.001440352,0.0003611862,0.00009019798,0.000002486983,0.0002043682,0.000003199648,0.0008110261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2997296,"threshold_uncertainty_score":0.9995203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155461699648005,"score_gpt":0.2436347580307664,"score_spread":0.2220801410342864,"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."}}