{"id":"W4412615196","doi":"10.1016/b978-0-443-28989-7.00015-8","title":"Characterization techniques: Understanding the rubber compounds","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Characterization (materials science); Natural rubber; Materials science; Polymer science; Composite material; Nanotechnology","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":[0.0003175324,0.0003625145,0.0003924778,0.0001202035,0.0004161871,0.0002717321,0.0005191173,0.0002532715,0.0004045553],"category_scores_gemma":[0.000005301408,0.0002405462,0.0001565011,0.00001769478,0.0002584677,0.00007604469,0.000242686,0.0002943439,0.0001429394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001970341,"about_ca_system_score_gemma":0.0001253755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000137403,"about_ca_topic_score_gemma":0.00000705282,"domain_scores_codex":[0.9985733,0.00005242585,0.0004160801,0.0003801372,0.0002984768,0.0002795578],"domain_scores_gemma":[0.9989958,0.0000787995,0.0002592423,0.0005590739,0.00005546193,0.00005163615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004142245,0.000007777227,0.000002494792,0.0001631491,0.00005953721,0.000008916069,0.000487347,8.544675e-8,0.387618,0.06491859,0.0005638805,0.5461288],"study_design_scores_gemma":[0.00007213215,0.00003440784,0.000001742628,0.0006937985,0.0000909013,0.0000109238,0.00001110411,0.000005487053,0.05631172,0.009123778,0.9333235,0.0003204934],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005924797,0.0006181892,0.0003169476,0.0003191037,0.0006458802,0.0006215177,0.00009695024,0.0002109973,0.9971111],"genre_scores_gemma":[0.004338102,0.0001076189,0.000154547,0.001094576,0.000309965,0.00005337509,0.00006251131,0.00005289086,0.9938264],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9327596,"threshold_uncertainty_score":0.980919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02594173147014351,"score_gpt":0.2338238192238572,"score_spread":0.2078820877537137,"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."}}