{"id":"W1267894554","doi":"10.1016/j.fuel.2015.08.055","title":"Hydrothermal liquefaction of woody biomass in hot-compressed water: Catalyst screening and comprehensive characterization of bio-crude oils","year":2015,"lang":"en","type":"article","venue":"Fuel","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":226,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrothermal liquefaction; Catalysis; Chemistry; Phenol; Nuclear chemistry; Yield (engineering); Liquefaction; Pyrolysis; Organic chemistry; Materials science","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":[0.0001437913,0.0002158434,0.0002318022,0.0003254008,0.0001928853,0.0002181982,0.0001796055,0.000176169,0.0006627673],"category_scores_gemma":[0.0002096213,0.0001193903,0.0001745438,0.0003270214,0.0001579005,0.00024154,0.0001755155,0.0002517572,0.0001369719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002242662,"about_ca_system_score_gemma":0.000248596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002582731,"about_ca_topic_score_gemma":0.008931077,"domain_scores_codex":[0.9999144,0.000008765863,0.000006763496,0.00001339618,0.0000364254,0.00002012766],"domain_scores_gemma":[0.9999474,0.00001422195,0.000009431952,0.000004982234,0.00001481853,0.000009214084],"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":[0.00007026402,0.00001648519,0.000822894,0.00003918992,0.000009196538,0.00004217081,0.00002923545,0.0001963134,0.99541,0.00004875311,0.00002029822,0.003295188],"study_design_scores_gemma":[0.000002222985,0.00005856268,0.003093778,0.000003283774,0.000008927533,0.00003718589,0.00004470548,0.0006892645,0.9957243,0.00001381542,0.0003205867,0.000003325797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978459,0.000307439,0.001232593,0.00001709276,0.000003020198,0.000007237496,0.0001353104,0.000009292569,0.0004421108],"genre_scores_gemma":[0.9976264,0.0004224221,0.000964399,0.000007752404,0.000002114034,0.000005853585,0.0002259435,0.000004427689,0.0007406693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002582731,"threshold_uncertainty_score":0.005135417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637420754389881,"score_gpt":0.2137429634089947,"score_spread":0.1973687558650959,"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."}}