{"id":"W1972156092","doi":"10.1007/s13399-012-0050-6","title":"Non-homogeneous residual feedstocks to biofuels and chemicals via the methanol route","year":2012,"lang":"en","type":"article","venue":"Biomass Conversion and Biorefinery","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Enerkem (Canada); Université de Sherbrooke","funders":"Alberta Innovates; CRB Innovations; Enerkem","keywords":"Biofuel; Residual; Methanol; Homogeneous; Environmental science; Chemistry; Biochemical engineering; Pulp and paper industry; Waste management; Process engineering; Organic chemistry; Engineering; Computer science; Thermodynamics; Physics","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":[0.0001483277,0.0003295766,0.0002475128,0.000220521,0.0001867696,0.0003561659,0.0003896869,0.0002235233,0.001728117],"category_scores_gemma":[0.0001564857,0.0001780791,0.0001846002,0.0001858031,0.0002373384,0.000533297,0.0003986428,0.0005316361,0.0007044385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003980408,"about_ca_system_score_gemma":0.0002760947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006259516,"about_ca_topic_score_gemma":0.00221736,"domain_scores_codex":[0.9998693,0.00001924689,0.000006225579,0.00003660662,0.00003843426,0.00003024573],"domain_scores_gemma":[0.9999574,0.00001075044,0.000009533722,0.00000864991,0.000008419475,0.000005110144],"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":[0.0001269406,0.00005972114,0.0001331038,0.0002096197,0.00001508569,0.0001007228,0.00005392589,0.0004468352,0.9858288,0.002409503,0.0001995843,0.0104163],"study_design_scores_gemma":[0.00001147618,0.00007963365,0.0002375203,0.000004324624,0.000008336709,0.00005147393,0.00001458082,0.0006130281,0.995381,0.0002597147,0.003334105,0.000004763959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537782,0.004273114,0.02716753,0.0003042842,0.0000938846,0.00008777838,0.0001964709,0.0002084771,0.01389027],"genre_scores_gemma":[0.987045,0.001623942,0.004039222,0.00005517769,0.00001719983,0.0000232044,0.0001084052,0.00004152474,0.007046483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001728117,"threshold_uncertainty_score":0.005781114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090974896230811,"score_gpt":0.2100651608943712,"score_spread":0.1991554119320631,"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."}}