{"id":"W6931029222","doi":"10.5281/zenodo.16522228","title":"Enhanced 1,2-Propanediol Production from Glycerol using Bimetallic NiCu Catalysts on Different Supports","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Barrier Structure and Function Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Catalysis; Bimetallic strip; Glycerol; Sustainable energy; Production (economics); Work (physics); Raw material","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002235331,0.0004610536,0.0004845602,0.0005245731,0.002778534,0.0006586276,0.001204426,0.0002162082,0.005116416],"category_scores_gemma":[0.001994703,0.0004174423,0.0001324445,0.0007854591,0.0002624019,0.0002129947,0.001542047,0.0007800955,0.001436637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002832962,"about_ca_system_score_gemma":0.00001334128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008611901,"about_ca_topic_score_gemma":0.000002389518,"domain_scores_codex":[0.9962184,0.0005808179,0.0004865806,0.001417183,0.0007847472,0.0005122527],"domain_scores_gemma":[0.9978183,0.000069564,0.0003488012,0.0012571,0.0003256915,0.0001805765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001762602,0.0001237897,1.183567e-7,0.0001042337,0.00007569114,0.00002146848,0.0001274382,0.00002234664,0.03752565,0.00003781308,0.9545752,0.007210011],"study_design_scores_gemma":[0.0003397636,0.0002087458,0.00003387138,0.0001158848,0.0001041052,0.00003686625,0.000051723,0.00001639076,0.0505291,0.00006686286,0.9481385,0.000358153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009626523,0.00009286071,0.0004299482,0.0003484106,0.002628328,0.001243453,0.9810441,0.0007511676,0.003835275],"genre_scores_gemma":[0.05702858,0.0004253905,0.00001955836,0.0004549393,0.0008524013,3.451497e-7,0.9394303,0.0006473118,0.001141203],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04740205,"threshold_uncertainty_score":0.9998277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04508509096706283,"score_gpt":0.269620360593018,"score_spread":0.2245352696259552,"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."}}