{"id":"W1910925637","doi":"","title":"Climate and Transportation Solutions: Findings from the 2009 Asilomar Conference on Transportation and Energy Policy","year":2010,"lang":"en","type":"book","venue":"eScholarship (California Digital Library)","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sandia National Laboratories; World Bank Group; Transport Canada; Research and Innovative Technology Administration; Surdna Foundation; California Department of Transportation; California Energy Commission; U.S. Department of Transportation; University of California, Davis; U.S. Department of Energy; U.S. Environmental Protection Agency; Shell","keywords":"Greenhouse gas; Automotive industry; Download; Climate change; Engineering; Public policy; Business; Political science; Transport engineering; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008555855,0.0006283562,0.0004235481,0.001358114,0.001788819,0.006813451,0.0006242091,0.002203295,0.02021179],"category_scores_gemma":[0.001463449,0.0003435718,0.0004322644,0.005120876,0.0007907403,0.00469812,0.001653256,0.0040805,0.007371312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00549243,"about_ca_system_score_gemma":0.006840602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02308139,"about_ca_topic_score_gemma":0.06760034,"domain_scores_codex":[0.9993482,0.00009754732,0.00002105587,0.00005345116,0.0003858546,0.00009384506],"domain_scores_gemma":[0.9995558,0.0001684096,0.00003186562,0.00001263515,0.0001441831,0.00008716283],"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":[0.000006275071,0.00001241838,0.00009129474,0.0002441632,0.000003097378,0.00003038427,0.000393203,0.0001288616,0.00003462455,0.00914101,0.9576491,0.03226553],"study_design_scores_gemma":[0.000002334523,0.000004225396,0.0006277006,0.0003806464,0.000003390199,0.00002337973,0.0007793288,0.0000399081,0.00003496453,0.001387064,0.9967113,0.000005902826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003137224,0.2957529,0.0006219971,0.1390379,0.02677084,0.00006357337,0.001940706,0.0001794797,0.5324953],"genre_scores_gemma":[0.02479783,0.4105984,0.001200291,0.02382917,0.00429036,0.0001137834,0.003009129,0.0002458477,0.5319152],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02308139,"threshold_uncertainty_score":0.06761515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385114585685864,"score_gpt":0.2035270855179553,"score_spread":0.1896759396610967,"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."}}