{"id":"W7037901814","doi":"","title":"Fractionation of sweet sorghum bagasse using steam-assisted and microwave-assisted methods","year":2015,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Cephalopods and Marine Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Cochin University of Science and Technology; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Bagasse; Biorefinery; Lignin; Cellulose; Fractionation; Hemicellulose; Hydrolysate; Raw material; Sweet sorghum","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001233733,0.0004341574,0.0003159474,0.0004749136,0.0001605475,0.0002510383,0.000170328,0.000218298,0.0006341941],"category_scores_gemma":[0.0001112384,0.0001386503,0.0003812821,0.0003610099,0.0001144576,0.0003197589,0.0002091254,0.0002641076,0.0002032819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001040449,"about_ca_system_score_gemma":0.0001727372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007029836,"about_ca_topic_score_gemma":0.001869648,"domain_scores_codex":[0.9999111,0.00001165743,0.00001080123,0.00001959351,0.00002814813,0.00001872559],"domain_scores_gemma":[0.9999626,0.000004497314,0.000009483335,0.000003693573,0.00001123006,0.000008502947],"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":[0.00007833721,0.00002415063,0.0003315148,0.00007703075,0.00001378889,0.00004995264,0.00003023286,0.00007426047,0.9956236,0.00003532382,0.00001378275,0.003648046],"study_design_scores_gemma":[0.00001707147,0.0002844686,0.007629262,0.00001304615,0.00005534559,0.0002066811,0.0001190909,0.0009199859,0.9880837,0.00006335359,0.002589904,0.00001821367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9898289,0.003510329,0.005173801,0.00005962157,0.00004469646,0.00004931426,0.0001984088,0.0000325665,0.001102271],"genre_scores_gemma":[0.9875867,0.002315151,0.006944452,0.00007355481,0.00001992208,0.00003112431,0.0005967661,0.0000190849,0.002413287],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0007029836,"threshold_uncertainty_score":0.002121568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04870654771742038,"score_gpt":0.3108460755825617,"score_spread":0.2621395278651413,"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."}}