{"id":"W4400780718","doi":"10.1039/d4su90030h","title":"Correction: Cleaning steel by devulcanizing rubber from used automotive tires","year":2024,"lang":"en","type":"article","venue":"RSC Sustainability","topic":"Metal Alloys Wear and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Natural rubber; Automotive industry; Automotive engineering; Materials science; Forensic engineering; Composite material; Computer science; 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":[0.002077245,0.003132143,0.002487144,0.0031674,0.00305743,0.003975509,0.004041569,0.008771059,0.06477046],"category_scores_gemma":[0.02391011,0.00185437,0.00207245,0.002551489,0.003057139,0.002886697,0.002341327,0.01172491,0.06042419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002863397,"about_ca_system_score_gemma":0.003870328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01119274,"about_ca_topic_score_gemma":0.01818747,"domain_scores_codex":[0.9960186,0.0002807472,0.0006078678,0.0006200721,0.002035838,0.0004368236],"domain_scores_gemma":[0.9864578,0.001888238,0.0009804082,0.001141303,0.008804598,0.0007277002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002752409,0.000006247938,0.00003504774,0.0002042332,0.0000113672,0.0001926266,0.00001914537,0.00004438019,0.0002263512,0.0005332067,0.9920763,0.006623596],"study_design_scores_gemma":[0.00001773403,0.00001433483,0.0004132316,0.0001159878,0.00001026371,0.0004357951,0.00004039001,0.0001063112,0.000695443,0.0005735952,0.9975561,0.00002067519],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.0001997282,0.002083212,0.001021182,0.02326065,0.967494,0.00002418686,0.001351864,0.0007829278,0.003782253],"genre_scores_gemma":[0.03413881,0.02788468,0.01562895,0.1003409,0.325377,0.0004106319,0.007016846,0.00556316,0.4836389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06477046,"threshold_uncertainty_score":0.2166788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01431426624991044,"score_gpt":0.2562458150885476,"score_spread":0.2419315488386372,"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."}}