{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009152574,0.0003439432,0.000565945,0.0002907793,0.0002870356,0.0003698321,0.0001601146,0.0001872414,0.00008311357],"category_scores_gemma":[0.0004103022,0.0002690177,0.00001776255,0.000694139,0.0003342377,0.0004719708,0.00009510749,0.00004030957,0.00006567143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008816422,"about_ca_system_score_gemma":0.0001438476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008303626,"about_ca_topic_score_gemma":0.000004452388,"domain_scores_codex":[0.9974616,0.0001641792,0.0008683692,0.0006750149,0.0003606319,0.0004701591],"domain_scores_gemma":[0.9985408,0.0001941578,0.000504949,0.0003073427,0.0002762538,0.0001765606],"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":[0.0008969399,0.00006093327,0.000009462562,0.0004304722,0.000005880792,0.000008276106,0.0001330627,0.000007016858,0.997803,0.0000750413,0.00008038292,0.0004895025],"study_design_scores_gemma":[0.0013334,0.0003363849,0.0009923928,0.000491182,0.00002706263,0.00003156397,0.00009002699,0.000572919,0.9951764,0.000251525,0.0003306732,0.0003665197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946548,0.00001409114,0.0009003056,0.00101941,0.0004211188,0.001641698,0.001034107,0.0003038578,0.00001063353],"genre_scores_gemma":[0.9901405,0.00001290863,0.006235186,0.0003792655,0.000264269,0.001038229,0.001824522,0.00005784595,0.00004728681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00533488,"threshold_uncertainty_score":0.9999762,"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."}}