{"id":"W4385811632","doi":"10.1115/1.862tsc_fm","title":"Front Matter","year":2023,"lang":"en","type":"paratext","venue":"","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Memorial University of Newfoundland","funders":"Université de Poitiers; Universidade Federal de Santa Catarina; Memorial University of Newfoundland; College of Engineering, Michigan State University; Simon Fraser University; University of Waterloo; Strong; Michigan State University; Massachusetts Institute of Technology","keywords":"Thermal contact conductance; Tribology; Orthotropic material; Icon; Mechanical engineering; Thermal; Front (military); Contact resistance; Thermal resistance; Materials science; Nanotechnology; Engineering; Physics; Computer science; Structural engineering; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000262963,0.0002123099,0.0002094977,0.0001373441,0.0000624749,0.00004590151,0.0001129797,0.0002353725,0.2544927],"category_scores_gemma":[0.000002629446,0.0001953633,0.0001118916,0.0000783314,0.000008940351,0.00007788075,0.00001840771,0.0003067728,0.8522387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000935976,"about_ca_system_score_gemma":0.00001460986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001665973,"about_ca_topic_score_gemma":0.0001047678,"domain_scores_codex":[0.9992895,0.000009632424,0.0002118267,0.0001680839,0.0001080109,0.0002129337],"domain_scores_gemma":[0.9995987,0.00005099318,0.00001805498,0.0002437251,0.00003049958,0.00005805983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[6.033454e-7,0.00000386894,0.0000171606,0.00005186143,0.00005842759,0.000001522611,0.00006949002,0.0103028,0.00004421815,0.000002770829,0.9893653,0.00008196703],"study_design_scores_gemma":[0.0000340336,0.000004212763,0.0002382314,0.0000431026,0.00001383323,0.000003348178,0.00007179304,0.002236628,0.0001878178,0.00001370981,0.9969189,0.000234373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003201807,0.0003547189,0.007368269,0.00007873686,0.01684049,0.00009703002,0.00007764501,0.0005800861,0.9742829],"genre_scores_gemma":[0.001004066,0.0009056105,0.0002321389,0.0000722702,0.0005690518,0.00003395801,0.0001871635,0.0001167092,0.996879],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5977459,"threshold_uncertainty_score":0.7966684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315799570292818,"score_gpt":0.2403735803747725,"score_spread":0.2272155846718443,"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."}}