{"id":"W4409533577","doi":"10.1139/cjc-2024-0265","title":"Synergistic impact of Cu and support materials in Ni-based catalysts for glycerol hydrogenolysis to 1,2-propanediol","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Hydrogenolysis; Chemistry; Propanediol; Catalysis; Glycerol; 1,3-Propanediol; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000165504,0.0001227341,0.0003349226,0.0002608632,0.00002983871,0.00003709961,0.0001679505,0.00008848411,0.00007515357],"category_scores_gemma":[0.0001126962,0.0001247438,0.0001150753,0.0002485795,0.00003296812,0.00004381274,0.000007688401,0.00006218881,9.533967e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004252813,"about_ca_system_score_gemma":0.0007057181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001755599,"about_ca_topic_score_gemma":0.001445033,"domain_scores_codex":[0.9992136,0.000004986275,0.0003954783,0.00009472331,0.00007389666,0.0002173622],"domain_scores_gemma":[0.9993274,0.00002994294,0.00008241089,0.0001615712,0.00008301644,0.0003156131],"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":[0.00005038003,0.000004971901,0.002339622,0.0003960386,0.0001500089,0.00005657325,0.0001199108,0.001829912,0.991766,3.399964e-7,0.002895403,0.0003908287],"study_design_scores_gemma":[0.0005771291,0.00003383668,0.000776149,0.0001382321,0.00008259432,0.0000203803,0.00007431064,0.0003524202,0.997641,0.000009689858,0.0001826363,0.0001116103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991412,0.0001694873,0.0001297669,0.00005588093,0.0001106108,0.00008440932,0.0001413631,0.000004760936,0.0001625241],"genre_scores_gemma":[0.9997484,0.000002128262,0.00008107848,0.00001672017,0.00003414281,0.000007022296,0.00004101142,0.00001462568,0.00005488674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005875001,"threshold_uncertainty_score":0.5086905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004248775370361792,"score_gpt":0.2113295645618253,"score_spread":0.2070807891914636,"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."}}