{"id":"W2272140213","doi":"10.2495/wm020261","title":"Modeling Of Solid Waste Composting Under Uncertainty","year":2002,"lang":"en","type":"article","venue":"","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Monte Carlo method; Process (computing); Uncertainty analysis; Factorial experiment; Process modeling; Simulation modeling; Factorial; Computer science; Design of experiments; Set (abstract data type); Process engineering; Mathematical optimization; Environmental science; Simulation; Engineering; Mathematics; Environmental engineering; Statistics; Process optimization; Machine learning","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":[0.001274758,0.0007907339,0.0008442469,0.0004990653,0.0006398308,0.001073066,0.0007963546,0.001005631,0.0005165014],"category_scores_gemma":[0.002369306,0.0004565633,0.0008048886,0.0005663732,0.0007894757,0.0009172541,0.0006457074,0.0004788369,0.00007195523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001204327,"about_ca_system_score_gemma":0.001301803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009406363,"about_ca_topic_score_gemma":0.004336286,"domain_scores_codex":[0.9990817,0.00032752,0.0000577311,0.0001497872,0.0002626206,0.000120607],"domain_scores_gemma":[0.9987091,0.000821894,0.0002386147,0.00006144189,0.000133598,0.00003537877],"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":[0.00001135265,0.000004446823,0.0002036997,0.000007055519,0.000005506821,0.00001583663,0.000007982647,0.9977497,0.0003524441,0.0008158335,0.000009652493,0.0008163841],"study_design_scores_gemma":[0.00000237831,0.000011361,0.0001200479,0.000001367587,0.000004677817,0.000006121761,0.000004058538,0.9983358,0.0005226411,0.0009059698,0.00008204851,0.000003679499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2842576,0.0003126488,0.7104903,0.0001443635,0.00002455206,0.0001211493,0.0001881184,0.0003422179,0.00411899],"genre_scores_gemma":[0.98162,0.0001396444,0.01715824,0.00001224259,0.000008326415,0.00009505678,0.00006318935,0.00001687498,0.0008864277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009406363,"threshold_uncertainty_score":0.01870322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06946521738193998,"score_gpt":0.2577531155248898,"score_spread":0.1882878981429499,"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."}}