{"id":"W4386294716","doi":"10.3990/1.9789036558242","title":"Friction of Biomechanical Interfaces","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SKiN Health","funders":"Radboud Universitair Medisch Centrum; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Radboud Universiteit","keywords":"Materials science; Silicone rubber; Stiffness; Biomedical engineering; Lubrication; Composite material; Surface finish; Surface roughness; Implant; Tribology; Engineering; Surgery","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":[0.0006175296,0.001284509,0.001321083,0.001633434,0.001237917,0.003004142,0.001376021,0.002092664,0.01763462],"category_scores_gemma":[0.002588565,0.0006041368,0.0007787992,0.0005032452,0.001516844,0.002087144,0.002662804,0.001294297,0.00424544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001775,"about_ca_system_score_gemma":0.0005219782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007252041,"about_ca_topic_score_gemma":0.0003559654,"domain_scores_codex":[0.99843,0.0001874736,0.00008532012,0.0004108447,0.00061682,0.0002696079],"domain_scores_gemma":[0.9994676,0.000188153,0.00007407646,0.00008737818,0.0001374688,0.00004538796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007271399,0.00034772,0.004667888,0.003952715,0.0001979241,0.003045518,0.00244117,0.04581129,0.270346,0.3879395,0.01885592,0.2616671],"study_design_scores_gemma":[0.0002726869,0.001855768,0.02486042,0.001494604,0.000204382,0.007833136,0.002390794,0.2770961,0.1498219,0.1785642,0.355083,0.000523096],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3197993,0.06389242,0.3339893,0.004773514,0.007463849,0.001058211,0.001602178,0.001120877,0.2663004],"genre_scores_gemma":[0.892165,0.009728206,0.01723336,0.00120714,0.0007283363,0.0004200343,0.0007134341,0.0003569752,0.07744759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01763462,"threshold_uncertainty_score":0.0589937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446626150371369,"score_gpt":0.2615184858485558,"score_spread":0.2470522243448421,"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."}}