{"id":"W2060980083","doi":"10.1016/j.wasman.2015.01.009","title":"Value-added performance of processed cardboard and farm breeding compost by pyrolysis","year":2015,"lang":"en","type":"article","venue":"Waste Management","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de Recherche et de Développement en Agroenvironnement; Centre National en Électrochimie et en Technologies Environnementales; Collège Shawinigan; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"cardboard; Pyrolysis; Biochar; Compost; Thermogravimetric analysis; Yield (engineering); Thermal decomposition; Chemistry; Decomposition; Pulp and paper industry; Heat of combustion; Waste management; Materials science; Chemical engineering; Organic chemistry; Composite material; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001055514,0.0001348906,0.0001751427,0.00007828725,0.00002217437,0.00002658705,0.000170396,0.00003699362,0.000008062775],"category_scores_gemma":[0.000005482742,0.0001319782,0.0000236446,0.0002220896,0.00004072524,0.0001037142,0.0001236514,0.00005216672,0.000008979651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004195993,"about_ca_system_score_gemma":0.000003801787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004168856,"about_ca_topic_score_gemma":3.26263e-7,"domain_scores_codex":[0.9992414,0.000005739649,0.0001817337,0.0001618579,0.0002357856,0.0001734427],"domain_scores_gemma":[0.9996652,0.000010831,0.00003932719,0.0001484924,0.00004622102,0.00008994184],"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":[0.0001679316,0.0001078456,0.002220214,0.006649191,0.0007046394,0.00001095682,0.001593657,0.005461979,0.9081395,0.0003226871,0.01930745,0.05531393],"study_design_scores_gemma":[0.001124169,0.00009739064,0.00006994879,0.000122123,0.0001099745,0.000001707122,0.002441091,0.01638751,0.9743423,0.00003233318,0.004975148,0.0002962397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921799,0.0006248057,0.0001980283,0.00006214971,0.0000920799,0.0001502851,0.000007342946,0.0001378888,0.006547467],"genre_scores_gemma":[0.9991565,0.0001165266,0.0004434063,0.00003018182,0.00001710399,0.00001414955,0.00001151317,0.00002069685,0.000189903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06620285,"threshold_uncertainty_score":0.5381913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008924095699909733,"score_gpt":0.1847664871123061,"score_spread":0.1758423914123964,"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."}}