{"id":"W4404767449","doi":"10.1002/pen.27022","title":"Enhancing friction with additively manufactured surface‐textured polymer composites","year":2024,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Tribology and Wear Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University Health Network","funders":"Virginia Innovation Partnership Corporation","keywords":"Materials science; Composite material; Polymer; Surface (topology); Geometry","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":[0.00009320307,0.0002978241,0.0001381467,0.0002489143,0.00007485743,0.0001826875,0.0001100804,0.0001647026,0.0009292495],"category_scores_gemma":[0.0001650772,0.0001489197,0.0002206943,0.0001092933,0.0001142884,0.0002150663,0.0001512294,0.0002779478,0.0002012256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001288241,"about_ca_system_score_gemma":0.00007653974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003481028,"about_ca_topic_score_gemma":0.001149559,"domain_scores_codex":[0.99991,0.000005514182,0.000004863298,0.00002420693,0.00003638014,0.00001907706],"domain_scores_gemma":[0.9998877,0.00001892029,0.00004499554,0.0000114185,0.00001850188,0.00001858553],"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":[0.00003011655,0.00001275915,0.0001252888,0.00003352034,0.000004281137,0.00001939263,0.000007274531,0.00009388261,0.997807,0.00002642946,0.00002164987,0.001818505],"study_design_scores_gemma":[0.000003441904,0.0001959059,0.002213251,0.000004205831,0.00001215323,0.0000438412,0.000009079287,0.0009037751,0.9958519,0.00001195803,0.0007456192,0.000004950853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947754,0.0007640679,0.00312647,0.00001650744,0.00003901061,0.00001004544,0.00006577396,0.00009908081,0.001103604],"genre_scores_gemma":[0.9956504,0.0002386906,0.003291594,0.00001411647,0.000007091355,0.000008306264,0.00003670191,0.0000150064,0.0007381061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009292495,"threshold_uncertainty_score":0.003108621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003276980469267441,"score_gpt":0.1851439877777725,"score_spread":0.1818670073085051,"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."}}