{"id":"W2079313630","doi":"10.1002/jbm.a.32126","title":"Discrete calcium phosphate nanocrystalline deposition enhances osteoconduction on titanium‐based implant surfaces","year":2008,"lang":"en","type":"article","venue":"Journal of Biomedical Materials Research Part A","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Titanium; Biomedical engineering; Implant; Nanotopography; Titanium alloy; Nanocrystalline material; Deposition (geology); Scanning electron microscope; Calcium; Composite material; Chemical engineering; Nanotechnology; Alloy; Metallurgy; Surgery","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000152801,0.0002427484,0.0002010803,0.000155908,0.00008421829,0.0003068293,0.0001583272,0.000215354,0.0006256498],"category_scores_gemma":[0.0002454876,0.0002072919,0.0001328145,0.00008431149,0.0002611609,0.0001324151,0.0002201074,0.0002316281,0.0001231052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001978915,"about_ca_system_score_gemma":0.0001699319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007313925,"about_ca_topic_score_gemma":0.001448375,"domain_scores_codex":[0.9998623,0.00001696497,0.000006078653,0.00002186343,0.00005936887,0.00003342077],"domain_scores_gemma":[0.9998217,0.00006549396,0.0000507677,0.00001642078,0.0000171456,0.00002848361],"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":[0.00001887856,0.000005802018,0.00006215928,0.000008122743,8.575412e-7,0.000008264486,0.000003665095,0.0000308578,0.999605,0.000008293478,0.000002256002,0.0002460103],"study_design_scores_gemma":[0.00001054396,0.0002549746,0.002357798,0.000001575019,0.000006052647,0.00006206995,0.00001179353,0.0007513327,0.9962969,0.000007716252,0.0002369597,0.000002197888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986925,0.0001904091,0.0008291247,0.000008298338,0.000002812253,0.000007737727,0.00001483345,0.000009426746,0.0002448695],"genre_scores_gemma":[0.9964935,0.0002151738,0.00272482,0.00001386309,0.000003396211,0.00001209928,0.0000406757,0.000007808861,0.0004886186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007313925,"threshold_uncertainty_score":0.002092957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05404776566739802,"score_gpt":0.3223622692296719,"score_spread":0.2683145035622739,"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."}}