{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001748253,0.0005036853,0.0007056145,0.001617345,0.0003425439,0.0003783643,0.0003222007,0.0003754455,0.0002521859],"category_scores_gemma":[0.00002790434,0.0005689425,0.0001577648,0.0002306549,0.0003932411,0.0007552535,0.000008085911,0.001146721,0.00009441156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001991008,"about_ca_system_score_gemma":0.0004212065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002682542,"about_ca_topic_score_gemma":0.02660169,"domain_scores_codex":[0.9963039,0.00003836719,0.001151686,0.0007809894,0.000760064,0.0009649921],"domain_scores_gemma":[0.9988118,0.0001599033,0.0004118933,0.0003101433,0.0002433404,0.0000629391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007920499,0.0001692164,0.4020219,0.01081833,0.0007375345,0.00103213,0.04292937,0.001029236,0.0005868403,0.4338842,0.04923538,0.05676391],"study_design_scores_gemma":[0.002070126,0.00005246305,0.2613253,0.001306468,0.0001721819,6.289974e-7,0.002326874,0.00008620304,0.00009259585,0.1097814,0.6213644,0.001421389],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5096058,0.000272945,0.00003562467,0.0001740368,0.0001652457,0.001223317,0.0001684757,0.000175953,0.4881786],"genre_scores_gemma":[0.5879024,0.000307721,0.0003078427,0.0008882066,0.0006753226,0.0003906488,0.002014306,0.0003038371,0.4072097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.572129,"threshold_uncertainty_score":0.9996762,"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."}}