{"id":"W4382010822","doi":"10.1002/jbm.a.37585","title":"Nanoscale implant anchorage aided by cement line deposition into titanium dioxide nanotubes","year":2023,"lang":"en","type":"article","venue":"Journal of Biomedical Materials Research Part A","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Zimmer Biomet; Milli Eğitim Bakanliği; University of Toronto; McMaster University","keywords":"Materials science; Osseointegration; Microstructure; Titanium; Scanning electron microscope; Cement; Implant; Nanoscopic scale; Titanium dioxide; Composite material; Biomedical engineering; Nanotechnology; Metallurgy; 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":[0.00008725553,0.000246668,0.0001302835,0.0001925966,0.0001007105,0.0001942887,0.0001410043,0.0002438198,0.0006525226],"category_scores_gemma":[0.0001694408,0.0001909772,0.0001643562,0.0001073294,0.0001698925,0.0002252563,0.0001863753,0.0001976739,0.0002029552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001500533,"about_ca_system_score_gemma":0.0001230522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004027374,"about_ca_topic_score_gemma":0.001094356,"domain_scores_codex":[0.9999286,0.00000588391,0.000004511569,0.00001778068,0.00002807241,0.00001512097],"domain_scores_gemma":[0.9999145,0.00002067924,0.00003417196,0.00001012801,0.00001335063,0.000007153159],"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":[0.000009003533,0.000003033083,0.00004407639,0.00001166813,7.999537e-7,0.00001224504,0.000007159865,0.00006570741,0.9992943,0.00003860794,0.00000777643,0.000505541],"study_design_scores_gemma":[0.00000315527,0.0000712144,0.00104717,0.000002383438,0.000004564452,0.00002705307,0.00001033465,0.0007921938,0.9971513,0.00001724835,0.0008708105,0.000002538987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918202,0.0003913237,0.006244825,0.00002529313,0.00002324291,0.00001963681,0.00007154789,0.00007370791,0.001330186],"genre_scores_gemma":[0.99111,0.0002954258,0.007128257,0.00001221262,0.00000741756,0.00002526239,0.00006207343,0.00002571257,0.001333674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006525226,"threshold_uncertainty_score":0.002182901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02793174544697333,"score_gpt":0.3124354146777657,"score_spread":0.2845036692307923,"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."}}