{"id":"W2003226849","doi":"10.1615/jlongtermeffmedimplants.v20.i1.40","title":"Technique to Quantify Subsurface Cracks in Retrieved Polyethylene Components Using Micro-CT","year":2010,"lang":"en","type":"article","venue":"Journal of Long-Term Effects of Medical Implants","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Robarts Clinical Trials; London Health Sciences Centre","funders":"Canadian Institutes of Health Research","keywords":"Materials science; Insert (composites); Delamination (geology); Polyethylene; Cracking; Composite material; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007712058,0.0004445719,0.0002229746,0.001643285,0.0001930034,0.0002788499,0.0005275506,0.0005896821,0.001964007],"category_scores_gemma":[0.001814271,0.0004034566,0.0001757979,0.0004404853,0.0003757164,0.000585068,0.000386788,0.00064634,0.0004685647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002088811,"about_ca_system_score_gemma":0.0003586875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001083682,"about_ca_topic_score_gemma":0.00288088,"domain_scores_codex":[0.9995763,0.00006182371,0.00003794969,0.00006568672,0.0002390723,0.00001928067],"domain_scores_gemma":[0.9984348,0.0005225694,0.0002216996,0.0001629661,0.0006048707,0.00005300493],"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":[0.0002210762,0.00006000411,0.02676858,0.0004200118,0.00003894998,0.0002778422,0.0001632772,0.001061868,0.8486003,0.0003524331,0.0007233871,0.1213123],"study_design_scores_gemma":[0.00009890272,0.001650685,0.1515632,0.0002448052,0.0002290871,0.02296765,0.0004504042,0.06131123,0.7496705,0.001138736,0.01049981,0.0001750803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2841212,0.004090982,0.7057328,0.0004139136,0.00009497649,0.000660216,0.0007067231,0.001566808,0.002612343],"genre_scores_gemma":[0.3515135,0.001042976,0.6452864,0.0001777772,0.00003373777,0.0003139759,0.0001824341,0.00007653323,0.00137268],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001964007,"threshold_uncertainty_score":0.00657022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084887781703653,"score_gpt":0.3388779283990184,"score_spread":0.3180290505819819,"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."}}