{"id":"W4362632558","doi":"10.3390/catal13040701","title":"New Trends in Catalytic Conversion of Glycerol","year":2023,"lang":"en","type":"article","venue":"Catalysts","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Glycerol; Biodiesel production; Biodiesel; Chemistry; Catalysis; Pulp and paper industry; Environmental science; Organic chemistry; 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":[0.0001035387,0.000134956,0.0002343609,0.000892185,0.00001412015,0.000007328522,0.0002075251,0.00009091966,0.0000926128],"category_scores_gemma":[0.00001278703,0.0001475064,0.000109914,0.001958402,0.00002469462,0.0001395791,0.00007202461,0.00008267966,0.0006495925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001152546,"about_ca_system_score_gemma":0.00001905718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002647094,"about_ca_topic_score_gemma":0.00007774324,"domain_scores_codex":[0.9991217,0.000006799252,0.0002536907,0.0001840851,0.0001909806,0.0002427756],"domain_scores_gemma":[0.9994493,0.00002947948,0.00003354764,0.0003730775,0.00001535166,0.00009920434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001295489,0.00006968462,0.01997804,0.0009102062,0.0003472293,0.0002988348,0.003575,0.01059304,0.3938176,0.000164799,0.4036353,0.1664807],"study_design_scores_gemma":[0.002491378,0.00005640503,0.0551489,0.0001069136,0.000101656,0.00001668264,0.0002848528,0.03704805,0.8905149,0.00006166808,0.01358519,0.0005834153],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948382,0.00024799,0.00011473,0.00008756051,0.0005078327,0.00008818617,0.00002688191,0.0004606259,0.003628018],"genre_scores_gemma":[0.9980937,0.00002316553,0.00003926614,0.000005849114,0.00003155581,0.000003325637,0.0005942043,0.00002824119,0.001180756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4966973,"threshold_uncertainty_score":0.8349415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009654755751775226,"score_gpt":0.218090908617919,"score_spread":0.2084361528661438,"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."}}