{"id":"W3135903039","doi":"10.1016/j.actbio.2021.03.012","title":"Personalized Baghdadite scaffolds: stereolithography, mechanics and in vivo testing","year":2021,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Australian Research Council; National Health and Medical Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Stereolithography; Materials science; Scaffold; Biomedical engineering; Bone morphogenetic protein 2; Tissue engineering; In vivo; Composite material; Medicine; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003690911,0.0003250922,0.0002148552,0.0003677392,0.0002090373,0.0004236896,0.0002062183,0.0006008808,0.001000564],"category_scores_gemma":[0.00027315,0.0002448432,0.00019602,0.0002877377,0.0004138222,0.0003886826,0.000345062,0.0003772072,0.0002581693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002819053,"about_ca_system_score_gemma":0.00023984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007273479,"about_ca_topic_score_gemma":0.002026552,"domain_scores_codex":[0.9996476,0.00002757756,0.0000167626,0.00005255713,0.000196465,0.00005896148],"domain_scores_gemma":[0.9997148,0.00006837567,0.00008842371,0.000058102,0.00004292684,0.00002741081],"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":[0.00003945704,0.00003711085,0.0002340004,0.0000207926,0.000002956928,0.00003315181,0.00004955686,0.0005441819,0.9969757,0.0001187964,0.00003994641,0.001904408],"study_design_scores_gemma":[0.000006311708,0.000118586,0.002623315,0.000003111474,0.000007907435,0.00006649676,0.00004970503,0.002178924,0.9941373,0.00005944898,0.0007384788,0.00001044863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852993,0.0005599337,0.01131484,0.00004749805,0.00004198009,0.00004233469,0.0002719995,0.0002025035,0.002219636],"genre_scores_gemma":[0.9889132,0.0002841188,0.008515627,0.00002860198,0.000009215059,0.00003983714,0.0001107122,0.00004347403,0.002055259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001000564,"threshold_uncertainty_score":0.003347158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581750498042669,"score_gpt":0.2134872630203331,"score_spread":0.1976697580399064,"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."}}