{"id":"W4390940199","doi":"10.1080/10255842.2024.2304709","title":"Achieving the ideal balance between biological and mechanical requirements in composite bone scaffolds through a voxel-based approach","year":2024,"lang":"en","type":"article","venue":"Computer Methods in Biomechanics & Biomedical Engineering","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scaffold; Porosity; Stiffness; Flexibility (engineering); Voxel; 3D printing; Materials science; Computer science; Polylactic acid; Biomedical engineering; Engineering; Composite material; Artificial intelligence","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":[0.0003039748,0.0002665015,0.0003701284,0.0003813701,0.0001971339,0.0005368653,0.0003751981,0.0004111873,0.0003752797],"category_scores_gemma":[0.0004626278,0.0002623241,0.000193586,0.0002570363,0.0004702093,0.0003983234,0.0005228933,0.0002943582,0.00021967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002502602,"about_ca_system_score_gemma":0.000508454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002041482,"about_ca_topic_score_gemma":0.0009137195,"domain_scores_codex":[0.9997448,0.0000498252,0.0000144358,0.00003763141,0.0001288601,0.00002450251],"domain_scores_gemma":[0.9997292,0.0001255961,0.00006712689,0.00002489139,0.00003515985,0.00001808704],"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":[0.00005524178,0.00003755103,0.000370888,0.0001248239,0.000009186116,0.00008241338,0.00004357583,0.01715717,0.9649687,0.003321283,0.00008159396,0.01374759],"study_design_scores_gemma":[0.00004358275,0.0003639583,0.001086445,0.00002254504,0.00003330486,0.001223921,0.00007775299,0.1665588,0.8188455,0.003564109,0.008120792,0.00005933594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1877079,0.001010532,0.8079301,0.00008544483,0.00002572237,0.00007151176,0.00005528067,0.0004761069,0.002637391],"genre_scores_gemma":[0.3866089,0.0004188119,0.6121524,0.00004225335,0.00001037418,0.000110609,0.00004085544,0.00005395757,0.0005618553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0005368653,"threshold_uncertainty_score":0.001815796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03914425429495488,"score_gpt":0.3166528998352964,"score_spread":0.2775086455403415,"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."}}