{"id":"W1991969303","doi":"10.1016/j.biortech.2009.11.091","title":"Liquefaction of bio-mass in hot-compressed water for the production of phenolic compounds","year":2009,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":136,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Lakehead University","keywords":"Lignin; Phenol; Sawdust; Chemistry; Cellulose; Liquefaction; Organic chemistry; Yield (engineering); Phenols; Raw material; Hydrolysis; 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":[0.0002110714,0.0004167759,0.0003090603,0.0003359597,0.0002920823,0.0003226527,0.0002247513,0.0003330888,0.002026194],"category_scores_gemma":[0.0002759929,0.000119027,0.0001969967,0.0005541571,0.000242573,0.000533035,0.0002615893,0.0005676732,0.0004256589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003494397,"about_ca_system_score_gemma":0.000464663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00262405,"about_ca_topic_score_gemma":0.005520198,"domain_scores_codex":[0.9998994,0.00001357806,0.000007070255,0.00001244055,0.00003608766,0.00003138635],"domain_scores_gemma":[0.9999158,0.00002315248,0.00001779131,0.000006388377,0.00001408442,0.00002280701],"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":[0.0001764409,0.00003984764,0.0002960318,0.0001081455,0.00000884322,0.000122673,0.00006136872,0.0003571507,0.993501,0.000141915,0.00007885011,0.005107753],"study_design_scores_gemma":[0.000002874287,0.00006662781,0.0004571124,0.00000785547,0.000003471578,0.00001772246,0.00002401748,0.000522427,0.998316,0.00001664071,0.0005626503,0.000002512618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951332,0.00101709,0.00223075,0.000118595,0.00002129517,0.00001569133,0.0001926604,0.00002639794,0.00124432],"genre_scores_gemma":[0.9953671,0.0006791853,0.001330968,0.000024688,0.00001040583,0.000009853135,0.0003392508,0.00001551818,0.00222302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00262405,"threshold_uncertainty_score":0.0067783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007580847814294404,"score_gpt":0.2062914749734551,"score_spread":0.1987106271591607,"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."}}