{"id":"W4407424816","doi":"10.37349/ebmx.2025.101327","title":"Advances in bone tissue engineering using biomaterial based scaffolds, purine crosslinking and Wnt signaling","year":2025,"lang":"en","type":"article","venue":"Exploration of BioMat-X","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Children's Hospital","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Scaffold; Biomaterial; Bone healing; Wnt signaling pathway; Tissue engineering; Nanotechnology; Biomedical engineering; Materials science; Medicine; Signal transduction; Surgery; Biology; Cell biology","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":[0.0002475702,0.0002228446,0.0003544962,0.0005278321,0.00003622648,0.00008193967,0.0000903832,0.0001093712,0.00001838972],"category_scores_gemma":[0.00003235699,0.0002618652,0.00002557621,0.0004482657,0.00003256395,0.0007350636,0.00003785882,0.00003520605,0.000002991365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007635057,"about_ca_system_score_gemma":0.00002020848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002159337,"about_ca_topic_score_gemma":0.000007391006,"domain_scores_codex":[0.9988446,0.00002009139,0.0005551272,0.0002037185,0.0001325463,0.0002439093],"domain_scores_gemma":[0.9996593,0.00004634128,0.00006459938,0.0001548614,0.00003410026,0.00004081786],"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":[0.00001197138,0.00001086832,0.00002313172,0.0005483619,0.000007646467,0.000006318511,0.00011318,0.2500274,0.7467437,0.000280863,0.000003888605,0.002222711],"study_design_scores_gemma":[0.0005322126,0.0000199391,0.0001042854,0.0006252176,0.00001063128,0.000002726591,0.00002716757,0.1374006,0.8600982,0.0001497803,0.0008164129,0.0002128667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8730264,0.004610348,0.1205781,0.00004129131,0.001045295,0.0002626795,0.00001234906,0.0003804991,0.00004304803],"genre_scores_gemma":[0.9826898,0.0001453279,0.01698301,0.000004170706,0.00008169213,0.00002932723,0.0000196793,0.00004222963,0.00000476025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1133545,"threshold_uncertainty_score":0.9999834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275229465949797,"score_gpt":0.2506911734885831,"score_spread":0.2379388788290851,"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."}}