{"id":"W586589260","doi":"","title":"BUS RAPID TRANSIT: INSTITUTIONAL ISSUES AND STRATEGIES FOR RESOLUTION","year":2001,"lang":"en","type":"article","venue":"8th World Congress on Intelligent Transport SystemsITS America, ITS Australia, ERTICO (Intelligent Transport Systems and Services - Europe)","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bus rapid transit; Transit (satellite); Public transport; Outreach; Stakeholder; Transport engineering; Enforcement; Software deployment; Business; Champion; Computer science; Engineering; Public relations; Political science; Economic growth; Economics","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","sts"],"consensus_categories":[],"category_scores_codex":[0.001082068,0.0009167903,0.001228821,0.0006516372,0.001475855,0.000449636,0.0005831366,0.0003385697,0.0002944573],"category_scores_gemma":[0.00001307553,0.0008750557,0.000295219,0.001207217,0.0006123544,0.001098846,0.000008790765,0.0004441135,0.00006689104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001249099,"about_ca_system_score_gemma":0.0002483729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01615389,"about_ca_topic_score_gemma":0.01321253,"domain_scores_codex":[0.9936253,0.0003614426,0.002116147,0.001426692,0.001274089,0.001196274],"domain_scores_gemma":[0.9970701,0.0002096514,0.0006181776,0.0004803787,0.0008571937,0.0007644441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005986274,0.002321891,0.1510613,0.01305324,0.002404853,0.00138571,0.08058056,0.3768778,0.001030815,0.3546079,0.001612022,0.009077607],"study_design_scores_gemma":[0.001364662,0.0006614578,0.02165228,0.003339098,0.0007197744,0.0000683992,0.01355956,0.007056734,0.0003807053,0.00006788578,0.9493005,0.001828913],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8624051,0.01666513,0.08490719,0.003310787,0.009075995,0.009878892,0.002171814,0.001674652,0.009910415],"genre_scores_gemma":[0.9741902,0.007512147,0.0002472792,0.0002455474,0.0005321936,0.000271558,0.0008836791,0.0001048857,0.0160125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9476885,"threshold_uncertainty_score":0.9998241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05329943042586167,"score_gpt":0.3114641896403156,"score_spread":0.258164759214454,"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."}}