{"id":"W4210284595","doi":"10.3390/jfb13010013","title":"Biomimetic PLGA/Strontium-Zinc Nano Hydroxyapatite Composite Scaffolds for Bone Regeneration","year":2022,"lang":"en","type":"article","venue":"Journal of Functional Biomaterials","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"United Arab Emirates University; Abu Dhabi Education Council","keywords":"Materials science; Simulated body fluid; Composite number; Compressive strength; PLGA; Cancellous bone; Chemical engineering; Apatite; Porosity; Composite material; Nanotechnology; Scanning electron microscope; Nanoparticle","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":[0.0001859812,0.0003360515,0.0002444723,0.0003506597,0.0001110091,0.0002522259,0.0002048148,0.000401368,0.0005615109],"category_scores_gemma":[0.0001068933,0.0001767482,0.0003049469,0.0001700084,0.0001576327,0.0002279157,0.0002060041,0.0002275854,0.0003032161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001959762,"about_ca_system_score_gemma":0.0002535738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006272111,"about_ca_topic_score_gemma":0.001683029,"domain_scores_codex":[0.999882,0.00001402101,0.000009326676,0.0000178121,0.00005863277,0.00001826182],"domain_scores_gemma":[0.9999397,0.00001467182,0.00001797813,0.000003710629,0.00001213816,0.00001178419],"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":[0.00003507406,0.00001416425,0.00003595079,0.0001070144,0.00000504221,0.00004195061,0.000005336836,0.0002126889,0.9961139,0.00004731352,0.00002327065,0.003358346],"study_design_scores_gemma":[0.00003106813,0.0003106888,0.00120342,0.00001325501,0.0000389676,0.0003245522,0.00001866716,0.00366189,0.9901381,0.00006918482,0.004179742,0.00001061572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9152533,0.03407225,0.04617979,0.0002287482,0.0001929465,0.0001381328,0.0003081051,0.0004785263,0.003148293],"genre_scores_gemma":[0.9677169,0.00787921,0.0205905,0.00008234787,0.00004106098,0.00007501335,0.0002503793,0.00003442191,0.00333015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006272111,"threshold_uncertainty_score":0.00187844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175510642107727,"score_gpt":0.2024322112609905,"score_spread":0.1906771048399132,"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."}}