{"id":"W2146746939","doi":"10.1002/app.42692","title":"Characterization of recycled styrene butadiene rubber ground tire rubber:<scp>C</scp>ombining X‐ray fluorescence, differential scanning calorimetry, and dynamical thermal analysis for quality control","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Differential scanning calorimetry; Natural rubber; Styrene-butadiene; Materials science; Glass transition; Thermogravimetric analysis; Context (archaeology); Carbon black; Analytical Chemistry (journal); Composite material; Chemical engineering; Styrene; Chemistry; Polymer; Copolymer; Chromatography; 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":[0.002017548,0.0002435832,0.0007660608,0.0004879243,0.0003189529,0.000292409,0.0006365593,0.00009946982,0.00001984276],"category_scores_gemma":[0.000101302,0.0001826166,0.0001659121,0.0009222823,0.0007814241,0.0006525114,0.00014404,0.0001460602,0.000001832716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008105332,"about_ca_system_score_gemma":0.0002847151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001779368,"about_ca_topic_score_gemma":0.000005133665,"domain_scores_codex":[0.99707,0.0001156798,0.0009610417,0.00039753,0.0009256579,0.0005301235],"domain_scores_gemma":[0.9975252,0.0003023914,0.00112488,0.0002620998,0.0003923941,0.0003930521],"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":[0.0003574267,0.0000906527,0.003348457,0.00001942992,0.00009276944,0.000001339984,0.001289136,0.00003049434,0.9896351,0.000660767,0.00000385585,0.004470544],"study_design_scores_gemma":[0.001820915,0.0002864307,0.04443376,0.00004506883,0.000378991,0.00001083738,0.0003259496,0.007887808,0.9445441,0.00008551685,0.00002952931,0.0001511126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888075,0.0003857239,0.00983187,0.00005731728,0.0005174313,0.0001640623,0.00005159109,0.0000169874,0.0001675017],"genre_scores_gemma":[0.9987988,0.00001195714,0.000824445,0.00007491097,0.000193255,0.000009816979,0.000007008134,0.00001636822,0.00006337496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04509104,"threshold_uncertainty_score":0.7446888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200669629661587,"score_gpt":0.25927018341015,"score_spread":0.2392032204439913,"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."}}