{"id":"W4384785767","doi":"10.2139/ssrn.4513968","title":"Statistical Distribution of Micro and Macro Pores in Acrylic Bone Cement- Effect of Amount of Antibiotic Content","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Orthopedic Infections and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Macro; Cement; Distribution (mathematics); Antibiotics; Materials science; Chemistry; Composite material; Mathematics; Computer science; Biochemistry","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":[0.001348084,0.0001572708,0.0003494991,0.0007579416,0.0001382512,0.0005303007,0.000233025,0.0004557219,0.004165433],"category_scores_gemma":[0.004667501,0.0002088054,0.0004085316,0.0004213609,0.001061453,0.0005539152,0.0002989644,0.0004412725,0.0004122014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002075517,"about_ca_system_score_gemma":0.0002645688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003107394,"about_ca_topic_score_gemma":0.0001901894,"domain_scores_codex":[0.9984801,0.0003730124,0.0001487104,0.0003442677,0.0004911801,0.0001627365],"domain_scores_gemma":[0.9804332,0.01491109,0.002115052,0.000796428,0.00111814,0.0006261044],"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":[0.02255245,0.000838086,0.1465123,0.0006233584,0.0003021665,0.0005094993,0.0004577893,0.007857446,0.7616291,0.001507255,0.0005715931,0.05663899],"study_design_scores_gemma":[0.00008806642,0.006087729,0.715984,0.00002566374,0.0002743501,0.001191785,0.0007198326,0.02184095,0.2500235,0.001700201,0.001944397,0.0001194237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930381,0.0006017372,0.004837394,0.00002988302,0.00002191597,0.00001900337,0.0005463563,0.0001059625,0.0007996676],"genre_scores_gemma":[0.9984016,0.00008208797,0.0007018548,0.000008814151,0.00001147928,0.00001741536,0.0003047124,0.00002128348,0.0004508735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004165433,"threshold_uncertainty_score":0.01393479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533743810305204,"score_gpt":0.2927040994277941,"score_spread":0.2773666613247421,"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."}}