{"id":"W1985697068","doi":"10.1007/s11051-012-1373-8","title":"Bone regeneration based on nano-hydroxyapatite and hydroxyapatite/chitosan nanocomposites: an in vitro and in vivo comparative study","year":2012,"lang":"en","type":"article","venue":"Journal of Nanoparticle Research","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Babol Noshirvani University of Technology; Tehran University of Medical Sciences and Health Services","keywords":"Materials science; Biomaterial; Wetting; Protein adsorption; Chitosan; Osteoblast; Simulated body fluid; In vivo; Bone tissue; Chemical engineering; Biomedical engineering; Nanotechnology; In vitro; Composite material; Chemistry; Scanning electron microscope; Biochemistry; Biology; Biotechnology","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":[0.0007242648,0.000622273,0.000495668,0.0006985599,0.0003130575,0.0003394755,0.0004700103,0.0006853705,0.001053222],"category_scores_gemma":[0.0004393769,0.0004091334,0.0006731011,0.0004159553,0.0006615165,0.0004806586,0.0002438201,0.0004931721,0.0001621597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003624352,"about_ca_system_score_gemma":0.0005416919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004074959,"about_ca_topic_score_gemma":0.004243087,"domain_scores_codex":[0.9996514,0.00006688224,0.00002973468,0.00005411178,0.0001140986,0.00008370484],"domain_scores_gemma":[0.9994179,0.0002608372,0.00009314372,0.00004369198,0.0001082117,0.00007625848],"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":[0.0005382954,0.0001098484,0.0001111101,0.00008646401,0.00000933609,0.00009905521,0.00004876535,0.0001052982,0.9976475,0.00006119551,0.000009531976,0.001173619],"study_design_scores_gemma":[0.00003964975,0.001383148,0.002115254,0.000006756614,0.00006721244,0.000243009,0.00007028759,0.0008773942,0.9946572,0.00004011177,0.0004854119,0.00001452795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933981,0.002290313,0.002657832,0.00003641731,0.00004178157,0.00005588231,0.00009570886,0.00002992334,0.001394057],"genre_scores_gemma":[0.9940915,0.0008417435,0.002788111,0.00002314767,0.00001951443,0.00003786742,0.0001156415,0.00001215002,0.002070411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004074959,"threshold_uncertainty_score":0.008102477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04797725330204394,"score_gpt":0.3296440628210792,"score_spread":0.2816668095190352,"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."}}