{"id":"W4386278523","doi":"10.1088/1748-605x/acf542","title":"Bone-mimicking scaffold based on silk fibroin incorporated with hydroxyapatite and titanium oxide as enhanced osteo-conductive material for bone tissue formation: fabrication, characterization, properties, and <i>in vitro</i> testing","year":2023,"lang":"en","type":"article","venue":"Biomedical Materials","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Thammasat University","keywords":"Fibroin; Materials science; SILK; Scaffold; Alkaline phosphatase; Compressive strength; Titanium; Bioactive glass; Fourier transform infrared spectroscopy; Swelling; Osseointegration; Biomedical engineering; Chemical engineering; Composite material; Chemistry; Implant","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":[0.000190035,0.0004574471,0.000174775,0.0002972471,0.0001312955,0.0002093291,0.0001609539,0.0003887164,0.0002856173],"category_scores_gemma":[0.0001485638,0.0001506718,0.0002641117,0.0001628126,0.0001757163,0.0001895654,0.0001283771,0.000125641,0.0001229375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001424598,"about_ca_system_score_gemma":0.0001510833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003503656,"about_ca_topic_score_gemma":0.0009513153,"domain_scores_codex":[0.9999089,0.00001189565,0.000007704675,0.00001894747,0.00003567284,0.00001679547],"domain_scores_gemma":[0.9998332,0.00002969885,0.00006236957,0.00001037322,0.00002567974,0.00003868764],"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":[0.000015421,0.000008486069,0.00007103354,0.00002200087,0.00000228508,0.00004497534,0.00000564204,0.00007598073,0.9993321,0.00001231225,0.0000055417,0.000404275],"study_design_scores_gemma":[0.000008917585,0.0002104826,0.002154114,0.00000493225,0.00002205154,0.0001994614,0.00001661445,0.00140949,0.9953207,0.00001564085,0.0006313063,0.000006179717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992927,0.0007959065,0.005518875,0.00002299118,0.00001770714,0.00002078174,0.00008821527,0.00008285185,0.0005255258],"genre_scores_gemma":[0.9923607,0.0004144237,0.006426802,0.00002078157,0.000006834148,0.00001903254,0.0001242216,0.00001095722,0.0006162773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004574471,"threshold_uncertainty_score":0.001033604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02378796643826141,"score_gpt":0.2377254126232646,"score_spread":0.2139374461850032,"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."}}