{"id":"W2767935118","doi":"10.1016/j.wasman.2017.10.017","title":"Thermolysis of scrap tire and rubber in sub/super-critical water","year":2017,"lang":"en","type":"article","venue":"Waste Management","topic":"Subcritical and Supercritical Water Processes","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Scrap; Supercritical fluid; Natural rubber; Thermal decomposition; Yield (engineering); Materials science; Pyrolysis; Waste management; Chemical engineering; Pulp and paper industry; Chemistry; Organic chemistry; Composite material; Metallurgy","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":[0.0001094269,0.0001205895,0.0001967699,0.00006978556,0.00006595244,0.00008126316,0.0001870997,0.00004393518,0.00009747955],"category_scores_gemma":[0.00002519887,0.00008828613,0.00003469736,0.00002790063,0.0001681634,0.0001737298,0.0001714015,0.00007801608,0.00004074095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001108728,"about_ca_system_score_gemma":8.856223e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001461927,"about_ca_topic_score_gemma":0.00001016627,"domain_scores_codex":[0.9991966,0.00001194044,0.0001889013,0.0001681519,0.0001367509,0.0002975856],"domain_scores_gemma":[0.9995905,0.00002773866,0.000002157142,0.0002885116,0.00002033786,0.00007082052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001644737,0.00126934,0.02929973,0.02234452,0.0008780204,0.002277417,0.004907708,0.0007857392,0.1321143,0.1555287,0.002695991,0.647734],"study_design_scores_gemma":[0.006170547,0.0003897854,0.06769491,0.002053406,0.0007084478,0.0000474282,0.006117961,0.06560414,0.7749364,0.05757744,0.01574317,0.002956413],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700886,0.0002784327,0.0002040624,0.0009555939,0.0001184831,0.000101279,0.000004593809,0.00004207301,0.02820691],"genre_scores_gemma":[0.9993951,0.0001396901,0.0001806121,0.00005412467,0.00003120326,0.00002144645,0.00000229418,0.0000175656,0.0001580048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6447777,"threshold_uncertainty_score":0.3600204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0090465190161011,"score_gpt":0.2195484007044577,"score_spread":0.2105018816883566,"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."}}