{"id":"W4366547823","doi":"10.21203/rs.3.rs-2658440/v1","title":"Hydrogel-chitosan and polylactic acid-polycaprolactone bioengineered scaffolds for reconstruction of mandibular defects: a preclinical in vivo study with assessment of translationally relevant aspects","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Krembil Foundation; University Health Network","funders":"Università degli Studi di Brescia; Fondazione della Comunità Bresciana; Princess Margaret Cancer Foundation","keywords":"Polylactic acid; Scaffold; In vivo; Biomedical engineering; Regeneration (biology); Tissue engineering; Ex vivo; Mesenchymal stem cell; Chitosan; Immunohistochemistry; Materials science; Medicine; Pathology; Chemistry; Cell biology; Biology; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006830521,0.0007740345,0.0003639494,0.0003870298,0.0001290391,0.0002840063,0.0003847758,0.0005169375,0.0009936227],"category_scores_gemma":[0.0002333431,0.0002338496,0.0004219793,0.0001836084,0.0003452619,0.0003622884,0.000190891,0.0004288713,0.0001828695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002381797,"about_ca_system_score_gemma":0.0003533712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007047417,"about_ca_topic_score_gemma":0.001037608,"domain_scores_codex":[0.9996938,0.0000387517,0.00002690577,0.00004820446,0.0001248098,0.00006763155],"domain_scores_gemma":[0.9997385,0.00005862509,0.00008849372,0.00002548877,0.00002654784,0.00006226287],"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":[0.0003184502,0.0003739293,0.00007442564,0.00007716873,0.000007367414,0.00004349704,0.00002155746,0.0001901685,0.9975736,0.000039369,0.00001219266,0.001268222],"study_design_scores_gemma":[0.00009118065,0.006375204,0.001652714,0.00001021109,0.0000459145,0.0001426675,0.0000307538,0.00112782,0.9899428,0.00001847442,0.0005549138,0.000007240983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953902,0.001393605,0.002312723,0.00004087788,0.00004422445,0.0001080104,0.0001014165,0.00004251965,0.0005663796],"genre_scores_gemma":[0.992371,0.001065768,0.004536741,0.00003207702,0.00002570338,0.0001333007,0.0001932582,0.00001487041,0.001627303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009936227,"threshold_uncertainty_score":0.003612399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0514898190957583,"score_gpt":0.3680792651420252,"score_spread":0.3165894460462669,"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."}}