{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001597967,0.0001107588,0.0001740788,0.00001185208,0.0001381945,0.00001638202,0.0002179802,0.00005477864,0.0003093559],"category_scores_gemma":[0.00003963256,0.00004153054,0.00008072132,0.000180511,0.00003285239,0.00005023626,0.00009828544,0.00009672518,0.00001066927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001589585,"about_ca_system_score_gemma":0.000001435352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000669886,"about_ca_topic_score_gemma":0.0001099415,"domain_scores_codex":[0.9991396,0.00003902089,0.0002675496,0.0001932037,0.0001471988,0.0002134056],"domain_scores_gemma":[0.9995471,0.0001916756,0.00006468715,0.00005864365,0.00008454108,0.00005339472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001688236,0.0002057674,0.00125684,0.00001535981,0.00001769505,0.000002373303,0.0001103498,0.05876576,0.8909507,0.0008011249,0.0008661906,0.04699096],"study_design_scores_gemma":[0.00006404751,0.00013924,0.0001814583,0.00006426434,0.000006117059,0.000008801831,0.0002197501,0.9915311,0.006521166,0.0009737856,0.0001369443,0.0001532685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931093,0.00006565484,0.0004744041,0.0005132976,0.00004053025,0.00007855189,0.00001136134,0.0003091507,0.00539769],"genre_scores_gemma":[0.9982122,0.00001397578,0.001336359,0.000136337,0.00009647076,0.000002101009,0.000009316054,8.708599e-7,0.0001924194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9327654,"threshold_uncertainty_score":0.338723,"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."}}