{"id":"W4317384079","doi":"10.1109/robio55434.2022.10011908","title":"Advances in artificial joint bio-friction and wear simulation assessment technology","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"China Postdoctoral Science Foundation","keywords":"Lubrication; Tribology; Joint (building); Materials science; Mechanical engineering; Computer science; Structural engineering; Engineering; Composite material","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":[0.000190585,0.0001333058,0.0001932466,0.0004708055,0.0001564753,0.00004321393,0.00005998526,0.00006346822,0.0002816388],"category_scores_gemma":[0.00002568835,0.00012304,0.0000307739,0.0002019147,0.0001101811,0.0000619936,0.0001037709,0.000301543,0.00000389328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000939758,"about_ca_system_score_gemma":0.00005401692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006844921,"about_ca_topic_score_gemma":0.00001572569,"domain_scores_codex":[0.9989009,0.00003508329,0.0003037409,0.0002990142,0.0003009442,0.0001602832],"domain_scores_gemma":[0.9996095,0.00003799943,0.0001173812,0.00010384,0.00007514577,0.00005614583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008874959,0.002098734,0.05839459,0.0001209063,0.0001981956,0.0002678572,0.0004199683,0.08105279,0.1091113,0.3953528,0.0002583397,0.351837],"study_design_scores_gemma":[0.00326654,0.00266925,0.01652143,0.0001770886,0.00009298034,0.0002643386,0.001812603,0.9481875,0.002824038,0.0124989,0.01113076,0.0005545566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636585,0.0004209985,0.01128739,0.01547323,0.003250916,0.0007680311,0.0002094854,0.00009654596,0.004834966],"genre_scores_gemma":[0.9973719,0.0009061568,0.001176794,0.0001782866,0.00008394405,0.00001689006,0.00006601289,0.00001054251,0.0001894811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8671347,"threshold_uncertainty_score":0.5017427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04594187119956728,"score_gpt":0.332604249295779,"score_spread":0.2866623780962117,"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."}}