{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001899021,0.0002523769,0.0003408836,0.0001504386,0.00003707389,0.0001898133,0.0001137415,0.0001353792,0.0003260901],"category_scores_gemma":[0.00004282726,0.0002831573,0.00003380605,0.0003811491,0.00002225348,0.0001740472,0.00007986787,0.00003438098,0.00001477893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003977229,"about_ca_system_score_gemma":0.00001456541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003596405,"about_ca_topic_score_gemma":0.00001471396,"domain_scores_codex":[0.9988462,0.00005032091,0.0003269611,0.0002736288,0.0001244427,0.0003784086],"domain_scores_gemma":[0.9995349,0.0000387326,0.00003180583,0.0002643849,0.00003363528,0.00009652875],"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":[0.000009118171,0.00001122917,0.0002136247,0.0002264354,0.00003104884,0.00008543787,0.0002184042,0.00004060521,0.9983891,0.0002512142,0.0003953658,0.0001284748],"study_design_scores_gemma":[0.001346973,0.00003707063,0.004385496,0.0003756523,0.00004508508,0.0002436994,0.0001407047,0.009230695,0.9715691,0.0005768369,0.01120211,0.0008465644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963533,0.0004080779,0.0001825403,0.00004095086,0.002074407,0.000123247,0.00008245334,0.0005225179,0.0002124817],"genre_scores_gemma":[0.9940246,0.00005799535,0.005534997,0.00001994633,0.0001463999,0.00002617349,0.00001679013,0.00007646187,0.00009659609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02681993,"threshold_uncertainty_score":0.999962,"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."}}