{"id":"W2191063146","doi":"10.1016/j.apsusc.2015.11.027","title":"SEM-EDX analysis and TOF-SIMS 3D imaging of a textile/rubber interface undergoing fatigue loading","year":2015,"lang":"en","type":"article","venue":"Applied Surface Science","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Natural rubber; Materials science; Composite material; Composite number; Textile; Hardening (computing); Layer (electronics)","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":[0.002511642,0.0002431337,0.0004352281,0.000290246,0.0003184988,0.0002802407,0.0006814033,0.00005399668,0.0001698482],"category_scores_gemma":[0.0002270532,0.000222537,0.00005989374,0.002371151,0.001195833,0.0005921745,0.0003721339,0.000136358,0.0000915778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001551295,"about_ca_system_score_gemma":0.0003295581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003877481,"about_ca_topic_score_gemma":0.00009320668,"domain_scores_codex":[0.9971663,0.00007367219,0.0004720463,0.0008635066,0.0008661716,0.0005583165],"domain_scores_gemma":[0.9983024,0.0002317685,0.0002200181,0.0006467038,0.0002571465,0.0003419829],"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":[0.00001954292,0.00003544907,0.01382377,0.00001404984,0.00001358305,0.000001204494,0.003018596,0.02437127,0.9577127,0.000568492,0.00004387534,0.0003775176],"study_design_scores_gemma":[0.0004713201,0.0000236871,0.0041011,0.0000245207,0.00008603992,0.000005494312,0.003990345,0.05960284,0.9308686,0.0003340685,0.0001110902,0.0003808406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552004,0.0001835524,0.037545,0.0001608599,0.0001935724,0.0002171481,0.00001005074,0.0001040302,0.006385377],"genre_scores_gemma":[0.9851147,0.00001171177,0.01459742,0.0001005204,0.00001106799,0.000006132442,0.000001882497,0.00001532277,0.0001412359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03523157,"threshold_uncertainty_score":0.9074797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03357932543550031,"score_gpt":0.2873505314557987,"score_spread":0.2537712060202984,"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."}}