{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001838084,0.0002276054,0.0005237965,0.0003940786,0.0001434388,0.0001041131,0.0002807224,0.0001833004,0.0006901514],"category_scores_gemma":[0.0001813375,0.000177421,0.00007990937,0.0003211687,0.0002382335,0.000271493,0.00003883306,0.0003380934,0.0001150003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001723894,"about_ca_system_score_gemma":0.00009832055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002702612,"about_ca_topic_score_gemma":0.000001636405,"domain_scores_codex":[0.9968754,0.0002772007,0.0008809392,0.0001837745,0.001204491,0.0005781915],"domain_scores_gemma":[0.9989008,0.0002017877,0.0001473986,0.000210014,0.0002079869,0.0003320074],"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":[0.000251505,0.00006708066,0.000002214254,0.0001956921,0.00005524038,0.0004147982,0.0000706086,0.001368251,0.9878811,0.00001391077,0.009452288,0.0002272759],"study_design_scores_gemma":[0.0006891389,0.0008271809,0.000176809,0.0003964757,0.00001223417,0.0004034144,0.00002487211,0.0005480755,0.9829053,0.00003794209,0.01379313,0.0001854214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927351,0.0003232126,0.002505684,0.0004082592,0.00349838,0.000245984,0.0001097494,0.0001106693,0.00006291618],"genre_scores_gemma":[0.996891,0.0004492237,0.001240378,0.00001550991,0.001199145,0.00002297189,0.0000435042,0.00005382977,0.00008439993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004975825,"threshold_uncertainty_score":0.7556674,"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."}}