{"id":"W4413894363","doi":"10.1002/adhm.202502630","title":"Co‐Delivery of Ca‐MOF and Mg‐MOF Using Nanoengineered Hydrogels to Promote In Situ Mineralization and Bone Defect Repair: In Vitro and In Vivo Analysis","year":2025,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Institute of Musculoskeletal Health and Arthritis; Natural Sciences and Engineering Research Council of Canada; Ministry of Science and ICT, South Korea; Canadian Institutes of Health Research; Ministry of SMEs and Startups; National Research Foundation of Korea; Canada Research Chairs; National Research Foundation","keywords":"Self-healing hydrogels; Biocompatibility; Osseointegration; Materials science; Biomedical engineering; Drug delivery; Bone healing; In vivo; Scaffold; Nanotechnology; Implant; Surgery; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000187729,0.0003093861,0.0001914277,0.0001855287,0.00008502475,0.0001489749,0.000135725,0.0002871548,0.0004421452],"category_scores_gemma":[0.00009198512,0.0001026935,0.0002367682,0.0001191964,0.0001253688,0.0001715737,0.00008118876,0.0002168031,0.00008808661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002252073,"about_ca_system_score_gemma":0.0001511011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001294432,"about_ca_topic_score_gemma":0.002323134,"domain_scores_codex":[0.9999061,0.000008019614,0.000009496083,0.00002166068,0.00003191523,0.00002277388],"domain_scores_gemma":[0.9998959,0.00001814111,0.0000401091,0.000007252987,0.00001538704,0.00002321673],"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":[0.00002824349,0.00001814163,0.00005478908,0.00002254778,0.000002558205,0.00001245885,0.00000567106,0.0000552433,0.9992735,0.00001683788,0.00000713066,0.0005030659],"study_design_scores_gemma":[0.000005432236,0.0001311299,0.0007619776,0.000002835753,0.000007402587,0.00002859462,0.000006226462,0.0008506005,0.9978182,0.000005698464,0.0003789405,0.000002930483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929477,0.001395311,0.004888379,0.00002807556,0.00002906861,0.00004208713,0.0001535204,0.0000439865,0.0004718025],"genre_scores_gemma":[0.9926099,0.0004852578,0.005509281,0.00001850608,0.000007355638,0.00005629884,0.0001033749,0.00001263558,0.001197355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001294432,"threshold_uncertainty_score":0.002573788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008223368645872798,"score_gpt":0.2611104955370529,"score_spread":0.2528871268911801,"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."}}