{"id":"W7015270627","doi":"","title":"Status Review of California’s Low Carbon Fuel Standard, 2011–2018 Q1\\n September 2018 Issue\\n","year":2018,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"SAS software applications and methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diesel fuel; Gallon (US); Gasoline; Renewable energy; Renewable fuels; Greenhouse gas; Electricity; Biogas; Natural gas","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":[0.004916817,0.0005442228,0.0004959071,0.006629258,0.001528878,0.003768248,0.001979146,0.001307819,0.01675675],"category_scores_gemma":[0.01366308,0.0005023719,0.0005835938,0.005106905,0.000775384,0.002793383,0.001048345,0.001669738,0.004882961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008194643,"about_ca_system_score_gemma":0.02464153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2621823,"about_ca_topic_score_gemma":0.2532772,"domain_scores_codex":[0.9948574,0.0002645848,0.0004334617,0.0004341816,0.003657363,0.0003529092],"domain_scores_gemma":[0.978889,0.001058267,0.001302746,0.0003621987,0.0178353,0.0005524241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003463082,0.00002889636,0.001965373,0.001960157,0.00002128746,0.00002505842,0.00008541214,0.0001125718,0.0001998107,0.003463817,0.9088644,0.08323865],"study_design_scores_gemma":[0.00000537705,0.00001240913,0.006657998,0.0009628255,0.00001588502,0.00001072601,0.0000752154,0.00002514767,0.0001288988,0.0001318334,0.9919624,0.00001127533],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01139556,0.3235503,0.002101198,0.08198126,0.0208552,0.0007916655,0.0608204,0.00174316,0.4967612],"genre_scores_gemma":[0.10311,0.4570917,0.005807754,0.03471799,0.009510687,0.001748392,0.168338,0.000814922,0.2188605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2621823,"threshold_uncertainty_score":0.5213124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388521432738716,"score_gpt":0.2493570120207592,"score_spread":0.2354717976933721,"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."}}