{"id":"W2575387033","doi":"","title":"DESIGN, DEVELOPMENT AND VALIDATION OF A NEW COMPOSITE HYDROGEL FOR BONE TISSUE ENGINEERING","year":2017,"lang":"en","type":"article","venue":"Journal of Bone and Joint Surgery-british Volume","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Self-healing hydrogels; Biomedical engineering; Tissue engineering; Materials science; Mesenchymal stem cell; Biomaterial; Regeneration (biology); Regenerative medicine; Stem cell; Cell biology; Nanotechnology; Biology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009773402,0.0004986114,0.0002567197,0.0004939137,0.0002142335,0.0004197766,0.0004589131,0.0005091963,0.0008662344],"category_scores_gemma":[0.0004143888,0.000175047,0.0003812176,0.0001575127,0.0003616274,0.0003765587,0.000235841,0.0003767188,0.000356513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000558886,"about_ca_system_score_gemma":0.0006278409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003643114,"about_ca_topic_score_gemma":0.0005554733,"domain_scores_codex":[0.9996169,0.00003932924,0.00003421409,0.00008504828,0.0001886083,0.00003590581],"domain_scores_gemma":[0.9995913,0.00006698328,0.0001224099,0.00002988618,0.0001079038,0.00008150368],"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":[0.00002135988,0.00004626762,0.0001097323,0.0001385213,0.000005687898,0.00003884927,0.00001337695,0.0004558415,0.9943016,0.0001989577,0.00003115304,0.004638724],"study_design_scores_gemma":[0.00001808233,0.0005735386,0.0006934922,0.00001694545,0.00002175208,0.000233801,0.00001049079,0.001565047,0.9923436,0.00005813703,0.00445605,0.00000911673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7562129,0.01037093,0.2233672,0.0004969762,0.0003569,0.001615854,0.0007352576,0.0004162139,0.006427784],"genre_scores_gemma":[0.8249115,0.003503283,0.1652574,0.0002149968,0.00007101143,0.0007793307,0.0006177443,0.00007924785,0.004565394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009773402,"threshold_uncertainty_score":0.005168736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04269470687566506,"score_gpt":0.2719958696060595,"score_spread":0.2293011627303944,"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."}}