{"id":"W4386989681","doi":"10.1039/d3su00218g","title":"Cleaning steel by devulcanizing rubber from used automotive tires","year":2023,"lang":"en","type":"article","venue":"RSC Sustainability","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Natural rubber; Stripping (fiber); Automotive industry; Materials science; Silylation; Contamination; Composite material; Environmental science; Engineering; Chemistry; Catalysis; Organic chemistry","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":[0.0008133188,0.0001786687,0.0001915158,0.00004659011,0.0002256981,0.00007641298,0.0003278916,0.00008391985,0.0005259874],"category_scores_gemma":[0.0004824062,0.0001714685,0.00007560539,0.0005324719,0.000183747,0.0002473141,0.0005481575,0.0001686192,0.0003620978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000721044,"about_ca_system_score_gemma":0.00001480954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00403472,"about_ca_topic_score_gemma":0.00006292459,"domain_scores_codex":[0.9982445,0.0001426257,0.0002614671,0.000575622,0.0003078218,0.0004679664],"domain_scores_gemma":[0.9991343,0.0001926252,0.00008217451,0.0004714679,0.00002475147,0.00009466695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003791681,0.0002183537,0.7578403,0.0000807085,0.00005486439,0.00006218343,0.003908868,0.001737828,0.003554055,0.0005759772,0.1455328,0.08639614],"study_design_scores_gemma":[0.0005561272,0.0001431357,0.795994,0.00003860821,0.00003961273,6.375047e-7,0.01180191,0.008548719,0.01007465,0.07675491,0.09527465,0.0007730476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864815,0.00001492075,0.001300569,0.001096584,0.00006386742,0.0004410382,0.00001496099,0.001081985,0.009504501],"genre_scores_gemma":[0.9957606,0.000008109807,0.0004953923,0.000154717,0.00003268108,0.00004262313,0.00003123511,0.00002554486,0.003449122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08562309,"threshold_uncertainty_score":0.6992283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024201485699266,"score_gpt":0.2546389364528366,"score_spread":0.244396921595844,"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."}}