{"id":"W2067797967","doi":"10.1002/btpr.142","title":"Comparative sugar recovery and fermentation data following pretreatment of poplar wood by leading technologies","year":2009,"lang":"en","type":"article","venue":"Biotechnology Progress","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":300,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Biomass Program; University of British Columbia; Dartmouth College; Natural Resources Canada; U.S. Department of Energy","keywords":"Fermentation; Sugar; Chemistry; Pulp and paper industry; Botany; Food science; Biology; 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":[0.0002993611,0.0003815411,0.0002742473,0.0006696264,0.0003482365,0.0003731329,0.0001613621,0.0001990768,0.0009880615],"category_scores_gemma":[0.0003942549,0.00009423122,0.0003644519,0.001370223,0.0001363332,0.0003270731,0.0001608474,0.0003542588,0.0003517937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001766198,"about_ca_system_score_gemma":0.0002469843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002536715,"about_ca_topic_score_gemma":0.003956518,"domain_scores_codex":[0.9997182,0.00004601087,0.00003070696,0.00003110978,0.0001041865,0.00006974074],"domain_scores_gemma":[0.9997508,0.00006748323,0.00003470941,0.00002781868,0.0000957182,0.00002357721],"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":[0.0004865468,0.0001133894,0.003101377,0.00004793008,0.0000219943,0.00009571551,0.00006419145,0.0007043295,0.988316,0.00005136575,0.00006518616,0.006931914],"study_design_scores_gemma":[0.000005514942,0.000487296,0.01587267,0.000005406531,0.00003506555,0.00007003317,0.00008265471,0.000963058,0.9818243,0.00002469868,0.0006209526,0.000008234309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997462,0.0003534772,0.0009198668,0.000009109243,0.000003303519,0.000007253786,0.0005114654,0.00001793878,0.0007155503],"genre_scores_gemma":[0.9918659,0.001010848,0.002324728,0.00001821083,0.000003627713,0.00001745516,0.003174624,0.00002747585,0.001557125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002536715,"threshold_uncertainty_score":0.005043924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02322953950624642,"score_gpt":0.2707896596578414,"score_spread":0.247560120151595,"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."}}