{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002762738,0.0005510313,0.0008359955,0.0005765198,0.0000492597,0.0001925115,0.0005503793,0.00048622,0.00001446345],"category_scores_gemma":[0.00007630639,0.000450815,0.000113803,0.001527345,0.00009701407,0.0001878152,0.0003845326,0.0006430399,0.000008809062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002499177,"about_ca_system_score_gemma":0.00002644038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001289942,"about_ca_topic_score_gemma":3.151477e-7,"domain_scores_codex":[0.9968331,0.0002448437,0.0009783525,0.0007215587,0.0003682296,0.0008539514],"domain_scores_gemma":[0.9984828,0.0008159463,0.00004098273,0.0004410429,0.00001577566,0.0002035128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001669387,0.00009987536,0.00005975202,0.001426978,0.0001641336,0.0002022645,0.0004744163,0.02595903,0.8758852,0.003471376,0.0001017776,0.09213854],"study_design_scores_gemma":[0.0005208638,0.00008560267,0.000412015,0.0006694159,0.00002296169,0.00004530028,0.000008135826,0.9851941,0.007155662,0.0005569381,0.00480855,0.0005204371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07061616,0.004175535,0.9219245,0.0001717202,0.00186987,0.0004172069,0.00002316702,0.0007865325,0.00001528516],"genre_scores_gemma":[0.5151773,0.0001393205,0.4840594,0.00003604508,0.0003830619,0.0000751621,0.00003841265,0.00008982082,0.000001450042],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9592351,"threshold_uncertainty_score":0.9997944,"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."}}