{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005461237,0.0005771088,0.0004562202,0.0009811653,0.0001790065,0.0005832293,0.0003394285,0.0006460238,0.0009962972],"category_scores_gemma":[0.0003347512,0.0003189748,0.0004899926,0.0006326091,0.0004021928,0.0008784939,0.0003700608,0.0008160177,0.0004564743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003475782,"about_ca_system_score_gemma":0.0003776482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003196994,"about_ca_topic_score_gemma":0.0006439203,"domain_scores_codex":[0.9997402,0.00003711692,0.00004030772,0.000056544,0.00010071,0.00002516544],"domain_scores_gemma":[0.9997379,0.0001249871,0.00007329445,0.00001443465,0.00003295955,0.00001638163],"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":[0.0001170533,0.0001517235,0.0002755497,0.0145353,0.00007987789,0.0006669508,0.0002447891,0.001789659,0.7150363,0.008084768,0.001471475,0.2575467],"study_design_scores_gemma":[0.00002398009,0.0007837845,0.002316682,0.0009111383,0.0001672326,0.002878441,0.00009474536,0.001510556,0.5738739,0.002170334,0.4151792,0.00008994837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03149283,0.9356674,0.02167536,0.0005762588,0.00034751,0.00007419758,0.0001182765,0.0001282114,0.009920032],"genre_scores_gemma":[0.1132576,0.8593475,0.02150056,0.0005300845,0.0003067151,0.0001277626,0.0002206924,0.00004269604,0.004666382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009962972,"threshold_uncertainty_score":0.003332913,"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."}}