{"id":"W1976528969","doi":"10.2172/878570","title":"Clean Cities and Alternative Fuels Data Center Quarterly Report: 1st Quarter FY 2006 (Milestone Report)","year":2006,"lang":"en","type":"report","venue":"","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Milestone; Quarter (Canadian coin); Center (category theory); Environmental science; Transport engineering; Engineering; Geography; Archaeology","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":[0.001295978,0.0009700712,0.0005389908,0.003450215,0.0008248535,0.002451826,0.001053176,0.0008106561,0.04951324],"category_scores_gemma":[0.003678661,0.0005034968,0.0003726649,0.005156922,0.0001442482,0.001450546,0.0005967544,0.0011891,0.04121948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003145668,"about_ca_system_score_gemma":0.007880631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2048676,"about_ca_topic_score_gemma":0.1943867,"domain_scores_codex":[0.9985235,0.00005477199,0.00008208163,0.0001143701,0.001094474,0.0001307174],"domain_scores_gemma":[0.9944782,0.0001521291,0.0003228704,0.0001226462,0.004772052,0.0001521636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001898873,0.00003081667,0.001178426,0.0000616132,0.000003078029,0.000004292932,0.000007140985,0.0001058194,0.00002724384,0.0003192218,0.9941703,0.004073118],"study_design_scores_gemma":[0.00003865173,0.00003804683,0.02822515,0.0001048019,0.00001761053,0.00001658169,0.00009905029,0.000269871,0.0007307605,0.0002688284,0.9701731,0.00001759961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001616749,0.0002726181,0.0004004571,0.0009300807,0.000365081,0.0001312535,0.9600134,0.0004912777,0.03577902],"genre_scores_gemma":[0.006229635,0.0009455562,0.001716293,0.0004491756,0.0001201152,0.000372496,0.9010709,0.0002791255,0.08881667],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2048676,"threshold_uncertainty_score":0.4073503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197604074475097,"score_gpt":0.2782509526058878,"score_spread":0.2462749118611368,"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."}}