{"id":"W2039309528","doi":"10.1016/j.actbio.2011.02.020","title":"Synthesis of bio-functionalized three-dimensional titania nanofibrous structures using femtosecond laser ablation","year":2011,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Materials science; Nanotechnology; Osseointegration; Biomaterial; Titanium; Simulated body fluid; Surface modification; Tissue engineering; Laser ablation; Substrate (aquarium); Nanofiber; Surface engineering; Laser; Biomedical engineering; Chemical engineering; Implant; Composite material; Scanning electron microscope","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":[0.0001238745,0.0002272768,0.0001668684,0.0002245776,0.0002058207,0.0002435204,0.0002548873,0.000444056,0.0008788464],"category_scores_gemma":[0.0001683688,0.0002012402,0.0002725085,0.0001160656,0.0001867571,0.0002745183,0.0001857604,0.0003176841,0.0003140437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002999582,"about_ca_system_score_gemma":0.0001865371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004510363,"about_ca_topic_score_gemma":0.0009888903,"domain_scores_codex":[0.9999077,0.000004725019,0.000008357325,0.00002356708,0.00003205854,0.00002354431],"domain_scores_gemma":[0.9998909,0.00002199944,0.00003924429,0.00001468204,0.00001795845,0.00001522674],"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":[0.000009862689,0.000005689792,0.00001877484,0.00002088443,0.000002495829,0.00003520997,0.00001682487,0.0001076445,0.9991448,0.00006886189,0.00002315137,0.0005457439],"study_design_scores_gemma":[0.000007092633,0.00004725139,0.0004513173,0.000001977081,0.000004234123,0.00005457138,0.00001004953,0.0008364121,0.9978366,0.00003291331,0.0007124363,0.000004960365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847407,0.0009098527,0.009482665,0.0001249126,0.000061199,0.00005490616,0.0001598328,0.0002162063,0.004249815],"genre_scores_gemma":[0.9904599,0.0002581361,0.007092346,0.00004132317,0.00001179516,0.00004025228,0.0001133779,0.0000303691,0.00195259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008788464,"threshold_uncertainty_score":0.002939999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02278564984200304,"score_gpt":0.2104588190234095,"score_spread":0.1876731691814065,"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."}}