{"id":"W4392906787","doi":"10.32920/25412785","title":"Anaerobic Process Intensification With Vacuum and Combined Pretreatment Technologies","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Industrial fermentation; Fermentation; Anaerobic digestion; Chemistry; Pulp and paper industry; Hydraulic retention time; Energy recovery; Waste management; Wastewater; Food science; Methane; Mathematics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001967568,0.0005012079,0.0004847705,0.0004177154,0.0001953842,0.0005564383,0.000337143,0.0003285564,0.0009010814],"category_scores_gemma":[0.0001395611,0.0003140252,0.0006217891,0.0006474501,0.0001993243,0.0005368656,0.0004764217,0.0005579689,0.0002983271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003333744,"about_ca_system_score_gemma":0.0002495335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004118775,"about_ca_topic_score_gemma":0.0009122859,"domain_scores_codex":[0.9996649,0.00003695689,0.00002568581,0.00007160256,0.0001526141,0.00004814114],"domain_scores_gemma":[0.9999466,0.000007412917,0.00002135218,0.000007831229,0.00001289864,0.000003939622],"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":[0.00005865695,0.00004685767,0.0004318499,0.0002813614,0.00002470368,0.00006058539,0.00002713026,0.0006609784,0.9767954,0.0005496436,0.0001002396,0.02096251],"study_design_scores_gemma":[0.000007764369,0.0002588398,0.002432664,0.00001849922,0.00003669246,0.0002305562,0.00002752309,0.002593669,0.9871488,0.0001238756,0.007105031,0.00001609192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8713794,0.01615696,0.1017449,0.0002251501,0.0001580275,0.0001330371,0.0002358063,0.0004156281,0.009551122],"genre_scores_gemma":[0.9428516,0.006383791,0.04399735,0.00009275091,0.00004350702,0.00008303353,0.0002227371,0.00004522807,0.006280107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009010814,"threshold_uncertainty_score":0.003014386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008175358304982453,"score_gpt":0.2107959289418066,"score_spread":0.2026205706368242,"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."}}