{"id":"W1977386732","doi":"10.1016/j.apcata.2014.03.007","title":"Selective hydrogenolysis of glycerol to propylene glycol by using Cu:Zn:Cr:Zr mixed metal oxides catalyst","year":2014,"lang":"en","type":"article","venue":"Applied Catalysis A General","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Saskatchewan Canola Development Commission","keywords":"Catalysis; Glycerol; Hydrogenolysis; Chemistry; Polyvinyl alcohol; Inorganic chemistry; Selectivity; Nuclear chemistry; Materials science; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009193409,0.0004327395,0.0001972356,0.0003029737,0.0001670075,0.0003143813,0.0004785408,0.0002918939,0.0006595797],"category_scores_gemma":[0.0001040019,0.0001844899,0.0002398986,0.0001766683,0.0001866971,0.0003528002,0.000311736,0.0003031621,0.0003075096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003604419,"about_ca_system_score_gemma":0.0003292378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002116949,"about_ca_topic_score_gemma":0.003701968,"domain_scores_codex":[0.9999068,0.000006713948,0.000006792598,0.00001698343,0.000022584,0.00004019217],"domain_scores_gemma":[0.9999788,0.000003150402,0.000004700599,0.000002857241,0.000004619565,0.000005858119],"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":[0.0001826671,0.00002044426,0.0002164528,0.00009282499,0.00001387865,0.0001674356,0.00002977687,0.000169201,0.9949347,0.000266674,0.0001987916,0.003707117],"study_design_scores_gemma":[0.000008460826,0.00003599665,0.0002840644,0.000002324689,0.000009858859,0.00004715395,0.00001845543,0.0006018447,0.9982008,0.00001934465,0.0007678619,0.000003889262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924073,0.001102449,0.002171373,0.0001929628,0.0000813005,0.00002783817,0.0001681322,0.0001246887,0.00372404],"genre_scores_gemma":[0.9972404,0.0004572045,0.0005862879,0.00001831541,0.000006870374,0.000005615849,0.0001031669,0.00001174307,0.001570287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002116949,"threshold_uncertainty_score":0.00420934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005612240128631631,"score_gpt":0.191944705416096,"score_spread":0.1863324652874644,"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."}}