{"id":"W1787679356","doi":"10.14295/transportes.v19i2.510","title":"Adaptação do HCM2000 para análise da capacidade e do nível de serviço em rodovias de pista simples no Brasil","year":2011,"lang":"pt","type":"article","venue":"Transportes","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Physics; Computer science; Philosophy","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":[0.001476993,0.0008110973,0.0008633355,0.00177585,0.0007584625,0.00146442,0.0008176441,0.000668819,0.001789099],"category_scores_gemma":[0.00203382,0.0004265106,0.001115818,0.002632003,0.0006837391,0.000613492,0.0006447263,0.000483907,0.0004258602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002821331,"about_ca_system_score_gemma":0.001955005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1858574,"about_ca_topic_score_gemma":0.2864773,"domain_scores_codex":[0.9988247,0.0001796398,0.00006480226,0.0003053428,0.0004880128,0.0001374882],"domain_scores_gemma":[0.9984452,0.0003685922,0.0002195646,0.0001644099,0.0007171897,0.00008495637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001312768,0.0004424939,0.673192,0.00153014,0.0004172241,0.000438921,0.004048583,0.01294921,0.1400551,0.001042843,0.0008249186,0.1637458],"study_design_scores_gemma":[0.00002325166,0.001595585,0.9253209,0.0002292734,0.0004077698,0.0002006249,0.005945906,0.0133349,0.04323645,0.0006067102,0.008977317,0.0001213327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887704,0.001298385,0.005088418,0.0001193026,0.00002501529,0.0001712432,0.000878875,0.00006045286,0.00358798],"genre_scores_gemma":[0.9854577,0.001317734,0.009305731,0.00007101044,0.000009169295,0.000120401,0.0006263062,0.00002929136,0.003062717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1858574,"threshold_uncertainty_score":0.3695511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03518571479435215,"score_gpt":0.2382717623353223,"score_spread":0.2030860475409701,"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."}}