{"id":"W622646503","doi":"","title":"METRO'S BRT 25 : ANALYSIS OF TOP BUS RAPID TRANSIT PROJECTS IN NORTH AMERICA","year":2004,"lang":"en","type":"article","venue":"Metrologia","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bus rapid transit; Transport engineering; Transit (satellite); Compressed natural gas; Public transport; Computer science; Chart; Propulsion; Business; Engineering; Statistics; Mathematics","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":[0.0003352788,0.0002052811,0.0001851064,0.003921343,0.0003855158,0.0007337595,0.000288158,0.0001354123,0.001866894],"category_scores_gemma":[0.001168042,0.000159999,0.0002374498,0.005135444,0.0001581742,0.0003019416,0.0005040322,0.0001316954,0.0002759174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680535,"about_ca_system_score_gemma":0.001673244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1802281,"about_ca_topic_score_gemma":0.3201599,"domain_scores_codex":[0.9994758,0.00006496806,0.00001923717,0.00004893399,0.0002815699,0.0001095884],"domain_scores_gemma":[0.9988266,0.0001305162,0.0002845791,0.00003528127,0.0005249632,0.0001980709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001437251,0.00009209618,0.9368891,0.0002495427,0.0001332973,0.0005782502,0.001151134,0.003345033,0.001734372,0.001043335,0.005251016,0.04938912],"study_design_scores_gemma":[0.000003170923,0.00003330483,0.9932687,0.00001460654,0.00001249292,0.0001176501,0.001381091,0.0007433794,0.0001460342,0.00002740681,0.004248827,0.000003346353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991521,0.0003004531,0.0002233302,0.00004250089,0.000001395978,0.00003462079,0.002839199,0.00002582701,0.005011594],"genre_scores_gemma":[0.9890076,0.0004092326,0.0005661759,0.00001421899,0.000003367594,0.00006593489,0.006875264,0.00001421783,0.003043998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1802281,"threshold_uncertainty_score":0.3583581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139002080447243,"score_gpt":0.2167903558766489,"score_spread":0.2054003350721764,"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."}}