{"id":"W3203947602","doi":"10.1016/j.engreg.2021.09.004","title":"Application of TPMS structure in bone regeneration","year":2021,"lang":"en","type":"article","venue":"Engineered Regeneration","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Regeneration (biology); Process (computing); Porosity; Computer science; Biomedical engineering; Nanotechnology; Materials science; Engineering; Cell biology; Composite material; Biology","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":[0.00004022176,0.0001131173,0.0001409357,0.0001018853,0.0000207603,0.0000176741,0.00004718301,0.0001048648,0.000029283],"category_scores_gemma":[0.00001023139,0.000124288,0.00003662198,0.0003120618,0.000007605964,0.0000852789,0.000008496435,0.0001050586,0.000001773686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004852743,"about_ca_system_score_gemma":0.00001652863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008020966,"about_ca_topic_score_gemma":0.0001461323,"domain_scores_codex":[0.9993535,0.00002086918,0.000248953,0.0001431555,0.0001248846,0.0001086125],"domain_scores_gemma":[0.9996578,0.000009276738,0.00002486655,0.0002220636,0.00005897959,0.00002706707],"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":[0.000001351269,0.000004035769,0.00004139194,0.00002365512,0.000005686192,0.000002061338,0.00006325712,0.4137085,0.5782945,0.002147771,0.00009167722,0.005616177],"study_design_scores_gemma":[0.00016394,0.000005094451,0.0008161992,0.000006646173,0.000005776539,0.00001378002,0.000008994979,0.3010897,0.6966762,0.0003507419,0.0007723784,0.00009060874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6999298,0.004431561,0.2945553,0.00006887594,0.0003797419,0.000141919,0.00002151573,0.0001103212,0.0003609973],"genre_scores_gemma":[0.9951194,0.00009328179,0.003864652,0.000008479891,0.0001944311,0.00001186294,0.0006204076,0.00002163674,0.00006587141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2951896,"threshold_uncertainty_score":0.5068316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002752771409588865,"score_gpt":0.1733173016796666,"score_spread":0.1705645302700777,"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."}}