{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001586636,0.000266214,0.0001991742,0.0005895973,0.0003691444,0.0001975456,0.0002697496,0.0007009058,0.005895611],"category_scores_gemma":[0.000169534,0.0002013003,0.0002784772,0.0003519086,0.0003369597,0.0003186037,0.0001593571,0.0004216235,0.0004854889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000160783,"about_ca_system_score_gemma":0.000126092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001329582,"about_ca_topic_score_gemma":0.001682151,"domain_scores_codex":[0.9998914,0.000004775016,0.000007962144,0.00002607029,0.00004136653,0.00002839871],"domain_scores_gemma":[0.9998504,0.00004902769,0.00002519257,0.00001791819,0.00004012549,0.00001731141],"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":[0.0001455648,0.00002173692,0.0003517303,0.00002927241,0.000003562591,0.0001866672,0.00006485393,0.0001733487,0.9969658,0.00004664518,0.0001456668,0.00186511],"study_design_scores_gemma":[0.00001734407,0.0002803701,0.05475396,0.00001090125,0.00002199854,0.0008292616,0.0003214144,0.006325588,0.9355273,0.0001037466,0.001788041,0.00002008447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914663,0.0002186577,0.00464764,0.0001104618,0.00002890702,0.00001598749,0.0008287593,0.0001565976,0.002526621],"genre_scores_gemma":[0.9887706,0.0001704507,0.006915401,0.00006455958,0.00001192507,0.00002093397,0.0006105101,0.00004355245,0.003392068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005895611,"threshold_uncertainty_score":0.01972282,"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."}}