{"id":"W3129813273","doi":"10.1016/j.jece.2021.105243","title":"Novel simple approaches to modeling composting kinetics","year":2021,"lang":"en","type":"article","venue":"Journal of environmental chemical engineering","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Representation (politics); Simple (philosophy); Computer science; Process (computing); Mean squared error; Degradation (telecommunications); Resilience (materials science); Work (physics); Benchmark (surveying); Biological system; Biochemical engineering; Mathematics; Statistics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006983511,0.001050622,0.001162497,0.0007066578,0.0007013939,0.001303332,0.002198023,0.00208039,0.002754939],"category_scores_gemma":[0.002302563,0.0008941845,0.00170918,0.0006514579,0.0005681192,0.001307426,0.0009720548,0.0018046,0.0004756097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001406131,"about_ca_system_score_gemma":0.001249746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01069806,"about_ca_topic_score_gemma":0.009779225,"domain_scores_codex":[0.9997337,0.00006958941,0.00002228751,0.00003847874,0.0001039533,0.00003199957],"domain_scores_gemma":[0.9993812,0.0003829982,0.00005657331,0.00005699234,0.00009291158,0.00002929632],"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":[0.0000158533,0.00006645908,0.0002491471,0.00007999937,0.00003167773,0.00006638598,0.00004219637,0.9621007,0.004543928,0.02635881,0.0002501992,0.006194653],"study_design_scores_gemma":[0.000004710395,0.000005621112,0.00002935973,0.000001953249,0.000005270665,0.000005499148,0.000003133117,0.9964556,0.0004577354,0.002469954,0.0005577053,0.000003569615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06008204,0.0007807076,0.9219831,0.0004623039,0.0002806597,0.0002232094,0.0003673862,0.0003559831,0.01546454],"genre_scores_gemma":[0.7317755,0.001675598,0.2336796,0.0003734251,0.0002929619,0.001065472,0.0004051234,0.0003612949,0.030371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01069806,"threshold_uncertainty_score":0.02127159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06234955854673705,"score_gpt":0.1932025072149817,"score_spread":0.1308529486682446,"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."}}