{"id":"W2254092670","doi":"10.1016/j.biomaterials.2016.01.047","title":"Ectopic bone formation in rapidly fabricated acellular injectable dense collagen-Bioglass hybrid scaffolds via gel aspiration-ejection","year":2016,"lang":"en","type":"article","venue":"Biomaterials","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"McGill University; Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada Foundation for Innovation; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Ministère de l'Économie, de l’Innovation et des Exportations du Québec","keywords":"Biomedical engineering; Mineralization (soil science); Materials science; Tissue engineering; In vivo; Simulated body fluid; Biomaterial; Extracellular matrix; Chemistry; Nanotechnology; Scanning electron microscope; Composite material; Medicine","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":[0.0004550709,0.0003179331,0.0004486302,0.0003804982,0.00006022343,0.0001334798,0.0001545079,0.0001798257,0.0003851386],"category_scores_gemma":[0.00004984256,0.0002803635,0.00005300174,0.0003366093,0.00002992274,0.000606411,0.00004448934,0.000008935356,0.0005045701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003949093,"about_ca_system_score_gemma":0.00001778941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009729627,"about_ca_topic_score_gemma":0.00002301369,"domain_scores_codex":[0.9981785,0.0001031842,0.0007642567,0.0002810153,0.0002011699,0.0004719066],"domain_scores_gemma":[0.9993189,0.0000446876,0.0001213925,0.0003707799,0.00005718477,0.00008705766],"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":[0.00003008124,0.00002219327,0.00004405535,0.0001350171,0.00002368806,0.00003431502,0.00008348489,0.0006190464,0.9969317,0.0000263252,0.0007104134,0.001339664],"study_design_scores_gemma":[0.0009288627,0.00006944555,0.001430139,0.0001046542,0.00001690172,0.00009515234,0.000007759267,0.00227096,0.9922395,0.0001176666,0.002340146,0.0003787803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760819,0.0002610072,0.01987295,0.0000681111,0.002056764,0.0005662745,0.00006086271,0.0009312092,0.0001009307],"genre_scores_gemma":[0.9985493,0.00005049694,0.0006672911,0.00001154601,0.0002489403,0.0001392924,0.00006558533,0.00008481764,0.0001827074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02246743,"threshold_uncertainty_score":0.9999648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00964763434145433,"score_gpt":0.1964152981916999,"score_spread":0.1867676638502456,"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."}}