{"id":"W2944309467","doi":"10.1016/j.biteb.2019.100220","title":"Biodiesel production from Cascabela ovata seed oil","year":2019,"lang":"en","type":"article","venue":"Bioresource Technology Reports","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Biodiesel; Diesel fuel; Transesterification; Pulp and paper industry; Biodiesel production; Oleic acid; Environmental science; Stearic acid; Biofuel; Chemistry; Methanol; Vegetable oil refining; Fossil fuel; Renewable fuels; Biotechnology; Organic chemistry; Biology; Catalysis; Biochemistry; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001248467,0.0001974437,0.0002184237,0.0002743003,0.00009443274,0.00002120636,0.0001627249,0.0003373428,0.0001164616],"category_scores_gemma":[0.00006046262,0.000197027,0.00005068682,0.0006658295,0.0001600454,0.00007154047,0.00007316713,0.0003124715,0.0005517321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005953716,"about_ca_system_score_gemma":0.00001422464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004030857,"about_ca_topic_score_gemma":0.00001051696,"domain_scores_codex":[0.9986888,0.000007696238,0.0003532629,0.0005367231,0.0001361206,0.0002774123],"domain_scores_gemma":[0.998568,0.000008373524,0.00009927256,0.00120881,0.00006597226,0.00004957122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001374906,0.0001769677,0.1656985,0.000135805,0.0003161406,0.000162272,0.0004268978,0.0008402189,0.7288215,0.0009079538,0.04827131,0.05422879],"study_design_scores_gemma":[0.0001870523,0.0000249227,0.01071595,0.000038521,0.0000407692,0.0009182636,0.0004060088,0.0003781455,0.1572273,0.001184043,0.8284122,0.0004668105],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862475,0.00119871,0.00006893149,0.002700653,0.001017499,0.0001989517,0.00001275016,0.003232986,0.005321992],"genre_scores_gemma":[0.9947114,0.0001054749,0.001199674,0.00003952364,0.0001808269,0.00009220526,0.00006017942,0.00004008975,0.003570601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7801409,"threshold_uncertainty_score":0.8034526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005699100003777384,"score_gpt":0.1868785642596349,"score_spread":0.1811794642558575,"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."}}