{"id":"W2151914664","doi":"10.1002/cjce.22089","title":"Dry anaerobic digestion modelling: Parameter sensitivity","year":2014,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anaerobic digestion; Kinetic energy; Methane; Mass transfer; Chemistry; Limiting; Thermodynamics; Anaerobic exercise; Sensitivity (control systems); Substrate (aquarium); Biodegradation; Mass transfer coefficient; Work (physics); Analytical Chemistry (journal); Chromatography; Organic chemistry; Ecology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005890247,0.0008387156,0.000898315,0.000363461,0.0002294146,0.0008321821,0.0007464244,0.001074742,0.001858208],"category_scores_gemma":[0.001826171,0.0003424681,0.0009420234,0.0003287613,0.0004597084,0.0007845258,0.0008119077,0.001066264,0.0002956345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005124992,"about_ca_system_score_gemma":0.0003303631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004370701,"about_ca_topic_score_gemma":0.001012694,"domain_scores_codex":[0.9997661,0.0000813173,0.00001401781,0.00005635962,0.00005728658,0.00002483609],"domain_scores_gemma":[0.9992651,0.0004839024,0.00008419808,0.00007150126,0.00007699073,0.00001823019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004183816,0.00001434703,0.0003625672,0.00003383382,0.00001299776,0.00002578804,0.000009109818,0.9939422,0.003789687,0.0003437359,0.00005492504,0.001368945],"study_design_scores_gemma":[0.000005263681,0.00002040215,0.0002267347,0.000002865957,0.000004141581,0.00000766401,0.000002474722,0.9980672,0.001128624,0.0003395585,0.0001909237,0.000004140626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5714051,0.0006509269,0.4151673,0.0002799159,0.00008077584,0.0001694652,0.001580089,0.0007128384,0.009953536],"genre_scores_gemma":[0.9835891,0.0001519245,0.0123747,0.00004313548,0.00001127032,0.0001457187,0.0004214702,0.00006175132,0.003201046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004370701,"threshold_uncertainty_score":0.008690476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009639150915247415,"score_gpt":0.1694419995441469,"score_spread":0.1598028486288995,"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."}}