{"id":"W2067874706","doi":"10.1016/j.ces.2012.10.003","title":"Pyrolysis of natural, butadiene, styrene–butadiene rubber and tyre components: Modelling kinetics and transport phenomena at different heating rates and formulations","year":2012,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Thermal and Kinetic Analysis","field":"Materials Science","cited_by":103,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Javna Agencija za Raziskovalno Dejavnost RS; Canada Excellence Research Chairs, Government of Canada","keywords":"Pyrolysis; Natural rubber; Materials science; Thermogravimetry; Composite material; Differential scanning calorimetry; Styrene-butadiene; Elastomer; Char; Chemical engineering; Thermal conductivity; Waste management; Chemistry; Polymer; Styrene; Thermodynamics; Organic chemistry; Copolymer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002819553,0.0005163623,0.0005647719,0.0002388642,0.0003574891,0.0006863729,0.0004216211,0.0009326422,0.001207222],"category_scores_gemma":[0.0005278808,0.0004358243,0.0007609345,0.0002958815,0.0003050309,0.0007409496,0.0002196688,0.0005234136,0.0002117414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009090923,"about_ca_system_score_gemma":0.000685073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008106515,"about_ca_topic_score_gemma":0.004402595,"domain_scores_codex":[0.9999185,0.00001249662,0.000006010751,0.00001934611,0.00002317993,0.00002062028],"domain_scores_gemma":[0.999756,0.0001610668,0.00002074093,0.00001770518,0.00003100001,0.00001345879],"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":[0.0004340821,0.0002056679,0.002132123,0.0002282699,0.00003728618,0.0001825928,0.0001586717,0.8878298,0.1025892,0.001690181,0.00009931137,0.004412928],"study_design_scores_gemma":[0.0000306592,0.0001169016,0.001125962,0.000004624888,0.00001579235,0.00003212734,0.00003570731,0.9526203,0.04544305,0.0002703262,0.0002926792,0.00001187068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911684,0.0001503126,0.006642462,0.00003131121,0.00001076044,0.0000276733,0.0001530646,0.00002495534,0.001790985],"genre_scores_gemma":[0.9960759,0.0001758902,0.001910826,0.000005018521,0.000001942887,0.00002642889,0.0001021743,0.00001248936,0.001689278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008106515,"threshold_uncertainty_score":0.01611871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117039781204281,"score_gpt":0.2072904679674105,"score_spread":0.1955864898469824,"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."}}