{"id":"W2048399464","doi":"10.1002/app.22683","title":"Surface modification of ultra‐high‐molecular‐weight polyethylene. I. Characterization and sintering studies","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Contact angle; Materials science; X-ray photoelectron spectroscopy; Ultra-high-molecular-weight polyethylene; Fourier transform infrared spectroscopy; Surface modification; Surface energy; Polyethylene; Wetting; Composite material; Polyethylene terephthalate; Polymer; Sintering; Compression molding; Chemical engineering; Polymer chemistry","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":[0.0003691783,0.00008837233,0.0002368279,0.0001413012,0.00007907693,0.00001863958,0.0000859646,0.00002632012,0.00001011641],"category_scores_gemma":[0.00001476131,0.00006454095,0.00003187665,0.000229942,0.0003538457,0.0002309548,0.00002577562,0.00009836714,0.000001742462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002835005,"about_ca_system_score_gemma":0.0001050333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001905621,"about_ca_topic_score_gemma":2.91514e-7,"domain_scores_codex":[0.9989385,0.000007564998,0.0003717309,0.0001333366,0.000397188,0.0001516883],"domain_scores_gemma":[0.9992512,0.00002339215,0.0003526778,0.0001128944,0.0001504201,0.0001093878],"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":[0.00008748226,0.00004488186,0.0008747982,0.00002198897,0.00002249939,0.000004171378,0.0006395342,0.000008076207,0.9471006,0.0007641981,0.000005933175,0.05042586],"study_design_scores_gemma":[0.0006169788,0.0001311788,0.02104653,0.00009349325,0.00004186346,0.0002018072,0.0002176899,0.00007316888,0.9772089,0.00001277583,0.000289283,0.00006629425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996534,0.001187187,0.000904071,0.0008637701,0.0001701271,0.00006942717,0.000004101232,0.000005803044,0.0002615378],"genre_scores_gemma":[0.997841,0.0005712737,0.001214433,0.0001886701,0.0001203881,4.622503e-7,0.000001137177,0.000006426899,0.0000562051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05035957,"threshold_uncertainty_score":0.2631903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811245119776524,"score_gpt":0.2819251950297516,"score_spread":0.2638127438319863,"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."}}