{"id":"W632490125","doi":"10.17226/22024","title":"Recruiting and Retaining Individuals in State Transportation Agencies","year":2003,"lang":"en","type":"book","venue":"Transportation Research Board eBooks","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Business; Computer security; Transport engineering; Computer science; Engineering; Programming language","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":[0.005616975,0.000225544,0.000171953,0.00177347,0.007095132,0.003312185,0.001828211,0.001106763,0.01051615],"category_scores_gemma":[0.006678775,0.0004986065,0.0002700058,0.002938483,0.0009862526,0.001517879,0.002087625,0.000892622,0.00607451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00257835,"about_ca_system_score_gemma":0.01643858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03212565,"about_ca_topic_score_gemma":0.1125458,"domain_scores_codex":[0.9973164,0.0008783437,0.000159466,0.0001739,0.0007361654,0.0007357681],"domain_scores_gemma":[0.9951043,0.0009817739,0.000452857,0.0004279269,0.001450437,0.001582599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004687683,0.000308118,0.02770259,0.0002313457,0.000004531396,0.0002010388,0.01493008,0.0003114999,0.00112602,0.005200117,0.1238878,0.82605],"study_design_scores_gemma":[0.00004010152,0.0008042518,0.08658711,0.000885766,0.00003198596,0.0009182303,0.05782705,0.0008222545,0.002535837,0.002979098,0.8465071,0.00006114852],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5100688,0.01082088,0.01317057,0.02433632,0.001564379,0.002742338,0.0009038675,0.00134361,0.4350491],"genre_scores_gemma":[0.6028568,0.01873102,0.02980189,0.005120249,0.0004333528,0.00143196,0.001389464,0.0001937392,0.3400416],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03212565,"threshold_uncertainty_score":0.06387734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08961332563748528,"score_gpt":0.2979897868082166,"score_spread":0.2083764611707314,"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."}}