{"id":"W1993025802","doi":"10.1016/j.fuel.2013.04.069","title":"Direct conversion of glycerol into bio-oil via hydrotreatment using supported metal catalysts","year":2013,"lang":"en","type":"article","venue":"Fuel","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Lakehead University","keywords":"Catalysis; Glycerol; Metal; Chemical engineering; Chemistry; Materials science; Organic chemistry; Engineering","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":[0.00007977252,0.0003385998,0.0001821598,0.000255338,0.00019195,0.0003778488,0.0004369527,0.0002377694,0.001255519],"category_scores_gemma":[0.0001112325,0.0001418147,0.0001781223,0.000162614,0.0002276929,0.0004322951,0.0004009698,0.0003563672,0.0005886043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004281958,"about_ca_system_score_gemma":0.0002689219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001466203,"about_ca_topic_score_gemma":0.003753953,"domain_scores_codex":[0.9999278,0.000005167077,0.000004706042,0.00001264381,0.00002446967,0.0000253397],"domain_scores_gemma":[0.9999803,0.000004016475,0.000003555696,0.00000314197,0.000004909702,0.000004008268],"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":[0.0002538981,0.00006039698,0.0003163365,0.0002067828,0.00001575566,0.0002283503,0.00007314658,0.0004109955,0.981382,0.001996504,0.0003612301,0.01469458],"study_design_scores_gemma":[0.000008276981,0.00003383257,0.000149431,0.000003571216,0.00000592905,0.0000359934,0.00001965998,0.0007301768,0.9971145,0.00009060458,0.001803925,0.000003921566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821484,0.001494631,0.005814925,0.0002898871,0.00009804973,0.00003788256,0.0002032861,0.0001555893,0.009757457],"genre_scores_gemma":[0.9951926,0.0005976612,0.001179966,0.00001885577,0.000006894827,0.000006103744,0.00009459423,0.00001545882,0.002887989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001466203,"threshold_uncertainty_score":0.004200101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007209912601716014,"score_gpt":0.1980063930504142,"score_spread":0.1907964804486982,"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."}}