{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001211659,0.0001623627,0.0001405421,0.0002193523,0.0001272797,0.0001309963,0.0001056587,0.00005442754,0.00003531939],"category_scores_gemma":[0.00000557301,0.0001323384,0.00003182419,0.0006303428,0.0001086128,0.0002770626,0.00001984779,0.0001861851,0.00001634787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003165864,"about_ca_system_score_gemma":0.00002166991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003544203,"about_ca_topic_score_gemma":0.000009561261,"domain_scores_codex":[0.9991491,0.000005500762,0.000111123,0.0002594938,0.0001685593,0.000306216],"domain_scores_gemma":[0.9996923,0.00006187174,0.00000793442,0.0001146426,0.00001505412,0.0001081594],"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":[0.000003535582,0.000004051073,0.000231158,0.00005024398,0.00006868833,0.00001586624,0.0004478202,0.02252226,0.9745793,0.0005597162,0.00004779148,0.001469523],"study_design_scores_gemma":[0.00006181519,0.00001943148,0.003076477,0.00006404754,0.00003919056,0.00004049088,0.00002266184,0.1875738,0.8085987,0.000004433132,0.0003103441,0.0001885746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9352748,0.01620364,0.04646107,0.00008268447,0.0004982668,0.00005626149,0.00001954259,0.0008283239,0.0005753923],"genre_scores_gemma":[0.9990892,0.00005176361,0.0005230554,0.00001467016,0.00005990618,0.000003999883,0.000004675424,0.0000208971,0.0002318518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1659806,"threshold_uncertainty_score":0.5396605,"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."}}