{"id":"W74990452","doi":"10.1007/978-3-642-32735-3_10","title":"Biomass Pretreatments for Biorefinery Applications: Gasification","year":2013,"lang":"en","type":"book-chapter","venue":"Green energy and technology","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Biorefinery; Biomass (ecology); Biorefining; Wood gas generator; Waste management; Syngas; Environmental science; Renewable energy; Biomass gasification; Bioenergy; Raw material; Biofuel; Pulp and paper industry; Chemistry; Coal; Hydrogen; Engineering; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001445131,0.0002418037,0.0002201884,0.0003150601,0.00004635354,0.000009787336,0.000183624,0.0008020409,0.00009243825],"category_scores_gemma":[0.00000363237,0.0002346024,0.00003948241,0.00007435035,0.0001380603,0.00003883018,0.00004859523,0.00007519659,0.00004271133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004234329,"about_ca_system_score_gemma":0.00001042863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001071568,"about_ca_topic_score_gemma":0.000007235065,"domain_scores_codex":[0.9993013,0.00000112149,0.0001879048,0.0002965655,0.00005303774,0.0001600944],"domain_scores_gemma":[0.9994758,0.0000313032,0.00006900138,0.000314575,0.00006692701,0.00004236745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006690438,0.000013493,0.00001632826,0.0002997956,0.0002590163,0.000001538677,0.00000338942,2.664922e-7,0.03987361,0.4819198,0.002905833,0.4747002],"study_design_scores_gemma":[0.0002359176,0.00004292262,0.000002095604,0.0000391532,0.00006617251,0.00001058558,0.000002575382,0.00006206574,0.1184038,0.1469342,0.7338959,0.0003045502],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008972107,0.1207049,0.09123085,0.00766951,0.001277593,0.006822952,0.001969513,0.0191363,0.7422163],"genre_scores_gemma":[0.3482265,0.00882238,0.009200056,0.0001726397,0.0004493108,0.006270062,0.002344247,0.0005439626,0.6239709],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7309901,"threshold_uncertainty_score":0.956681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008130021907661825,"score_gpt":0.1824913414856287,"score_spread":0.1743613195779669,"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."}}