{"id":"W2716671677","doi":"10.3390/catal7070196","title":"Selective Hydrogenolysis of Glycerol and Crude Glycerol (a By-Product or Waste Stream from the Biodiesel Industry) to 1,2-Propanediol over B2O3 Promoted Cu/Al2O3 Catalysts","year":2017,"lang":"en","type":"article","venue":"Catalysts","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrogenolysis; Glycerol; Catalysis; Biodiesel; Space velocity; Chemistry; Desorption; Thermogravimetric analysis; Aqueous solution; Thermal desorption spectroscopy; Nuclear chemistry; Propanediol; Adsorption; Materials science; Organic chemistry; Selectivity","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002732716,0.0005883615,0.0007871674,0.0002322155,0.0004754492,0.000195598,0.001262505,0.0003890542,0.00005903185],"category_scores_gemma":[0.0004241135,0.000445421,0.0002061503,0.0006094446,0.0003210506,0.0005210201,0.0005880062,0.0005212708,0.00008746055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002447708,"about_ca_system_score_gemma":0.00008775947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004407085,"about_ca_topic_score_gemma":0.001605058,"domain_scores_codex":[0.9972007,0.00005834917,0.0006072337,0.0009187369,0.0005738956,0.000641053],"domain_scores_gemma":[0.9965615,0.0001197273,0.0003376391,0.002458394,0.0001837418,0.0003390428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004423416,0.000135604,0.01903482,0.0001854,0.002141468,0.00004755628,0.002707243,0.0001591233,0.927498,0.000003029166,0.03267688,0.0149685],"study_design_scores_gemma":[0.001366063,0.0001245796,0.013364,0.0001371435,0.0005685862,0.00002056041,0.0003343317,0.001773771,0.980311,0.0000177447,0.001333673,0.0006485192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959109,0.0009112053,0.00004132828,0.0004265312,0.0003143537,0.0009507947,0.0009863608,0.0001891061,0.0002693636],"genre_scores_gemma":[0.9984768,0.00005515275,0.00009881499,0.00005339097,0.0002586387,0.0001022785,0.0005490409,0.0001008306,0.000305021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05281299,"threshold_uncertainty_score":0.9997997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115134161093786,"score_gpt":0.2290612432009837,"score_spread":0.2179099015900458,"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."}}