{"id":"W2358126776","doi":"","title":"Factors on Blending Rubber Homogenous and Study Methods","year":2011,"lang":"en","type":"article","venue":"Science Technology and Engineering","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Tread; Carbon black; Natural rubber; Materials science; Abrasion (mechanical); Composite material; Mixing (physics); Dispersion (optics); Filler (materials); Raw material; Carbon fibers; Vulcanization; Composite number; Chemistry","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":[0.0004765427,0.0001079328,0.0001248594,0.0005429791,0.0002840927,0.00004024918,0.0002283247,0.00005033145,0.0000198422],"category_scores_gemma":[0.00005028656,0.00007721871,0.000007979528,0.0005505473,0.0003725998,0.0001773161,0.0001685548,0.0000982526,0.000003953964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001236652,"about_ca_system_score_gemma":0.0000108679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002117493,"about_ca_topic_score_gemma":9.004651e-7,"domain_scores_codex":[0.9992601,0.00001040863,0.00009365011,0.0002711479,0.0000786712,0.0002860086],"domain_scores_gemma":[0.9997193,0.00002637527,0.0000205737,0.0001659712,0.00001222216,0.00005558976],"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":[0.00000323981,0.0000266841,0.009607818,0.000005448537,0.000003126708,0.000003377294,0.001700706,0.00001017519,0.9814741,0.003230158,3.427662e-7,0.003934794],"study_design_scores_gemma":[0.00008578316,0.0003119731,0.01633563,0.00001382445,0.000008466642,0.00001599718,0.0008954488,0.0003013769,0.9815142,0.000303523,0.00007378647,0.0001400492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979396,0.0004383259,0.0007256871,0.00001988756,0.0002050062,0.00009410986,7.813155e-7,0.0002097654,0.0003668522],"genre_scores_gemma":[0.9921605,0.00000924094,0.007777304,0.000009092562,0.000006021086,0.000008773285,3.57582e-8,0.000006095665,0.00002295368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007051616,"threshold_uncertainty_score":0.3148887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04214068393207079,"score_gpt":0.2741399614136267,"score_spread":0.2319992774815559,"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."}}