{"id":"W1969122374","doi":"10.1177/0885328213486705","title":"Engineering bone tissue using human dental pulp stem cells and an osteogenic collagen-hydroxyapatite-poly ( <scp>l</scp> -lactide-co-ɛ-caprolactone) scaffold","year":2013,"lang":"en","type":"article","venue":"Journal of Biomaterials Applications","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôpital Saint-François d'Assise","funders":"Canadian Institutes of Health Research","keywords":"Scaffold; Alkaline phosphatase; Osteoblast; Caprolactone; Dental pulp stem cells; Materials science; Biomedical engineering; Tissue engineering; Stem cell; Bone tissue; Regeneration (biology); Chemistry; In vitro; Cell biology; Composite material; Biochemistry; Medicine; Biology; Polymerization; Polymer","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":[0.0003847991,0.000336603,0.0002961536,0.0003023755,0.0001761039,0.0004887531,0.0001934545,0.0003825464,0.0007267472],"category_scores_gemma":[0.0001579094,0.0002144974,0.0003338572,0.000258835,0.0002297116,0.0002056047,0.0003724752,0.0001943002,0.0003664536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002032796,"about_ca_system_score_gemma":0.0004986362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006012208,"about_ca_topic_score_gemma":0.001479301,"domain_scores_codex":[0.9997998,0.00001825611,0.00002513399,0.0000357994,0.00009401495,0.0000269446],"domain_scores_gemma":[0.9999063,0.00002249573,0.00002162737,0.000009774155,0.00001930448,0.00002056123],"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":[0.0001033219,0.00006167911,0.0004464763,0.0001974938,0.000008833603,0.0001867613,0.00006424925,0.0002540441,0.9930834,0.0001709628,0.00003022183,0.005392502],"study_design_scores_gemma":[0.00007906973,0.0008078194,0.003213556,0.00002942523,0.00006987688,0.0008325567,0.0001032704,0.002143137,0.9848876,0.0001335965,0.007686963,0.00001313897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789768,0.005218732,0.01247554,0.00006687625,0.000059535,0.0001408628,0.000227648,0.00007582873,0.002758135],"genre_scores_gemma":[0.9744954,0.002320295,0.02001425,0.00006751998,0.00002588536,0.0001347862,0.0005473781,0.00001444475,0.002380018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007267472,"threshold_uncertainty_score":0.002431273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131231305173742,"score_gpt":0.2420460915097902,"score_spread":0.228922960992416,"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."}}