{"id":"W2996306164","doi":"10.1016/j.cogsc.2019.11.008","title":"Metal carbides, phosphides, and nitrides for biomass conversion","year":2019,"lang":"en","type":"article","venue":"Current Opinion in Green and Sustainable Chemistry","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrodeoxygenation; Carbide; Catalysis; Nitride; Selectivity; Materials science; Metal; Chemical engineering; Adsorption; Inorganic chemistry; Nanoparticle; Metallurgy; Nanotechnology; Chemistry; Organic chemistry; Layer (electronics)","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":[0.0004968035,0.000438222,0.0005283376,0.0003569468,0.0001776872,0.001154983,0.000816052,0.001584114,0.003946565],"category_scores_gemma":[0.0002960638,0.0002208709,0.0003154053,0.0004402937,0.000701553,0.001866225,0.000567979,0.001351857,0.002141609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005650785,"about_ca_system_score_gemma":0.0004008615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000484422,"about_ca_topic_score_gemma":0.001313412,"domain_scores_codex":[0.9998683,0.00001502855,0.00001037513,0.0000349303,0.00004853993,0.00002285308],"domain_scores_gemma":[0.9999305,0.000023159,0.00001020467,0.00000463866,0.00002066683,0.00001084466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000722555,0.0003046396,0.0003166404,0.01290917,0.0001630618,0.0006975874,0.0002221652,0.002905166,0.2890781,0.1057725,0.06770996,0.5191986],"study_design_scores_gemma":[0.00008650349,0.000299687,0.0003671484,0.0004058651,0.0000643481,0.0003730294,0.000128128,0.001606437,0.03447561,0.02453932,0.9376265,0.00002749058],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01096152,0.9551352,0.003928976,0.007708277,0.004149633,0.00003190472,0.000129464,0.0000616848,0.0178933],"genre_scores_gemma":[0.08494694,0.8789033,0.003059227,0.002273391,0.003794894,0.00009346038,0.0002978452,0.00002750646,0.0266034],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003946565,"threshold_uncertainty_score":0.01320261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284148740457793,"score_gpt":0.2463930554832821,"score_spread":0.2335515680787042,"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."}}