{"id":"W2252315530","doi":"10.6000/1929-5995.2015.04.04.1","title":"An Overview of Mechanical Tests for Polymeric Biomaterial Scaffolds Used in Tissue Engineering","year":2016,"lang":"en","type":"article","venue":"Journal of Research Updates in Polymer Science","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biomaterial; Materials science; Characterization (materials science); Tissue engineering; Self-healing hydrogels; Mechanical strength; Biomedical engineering; Nanotechnology; Composite material; Engineering; Polymer chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007352025,0.0001307685,0.0003653066,0.001287677,0.00008914353,0.00009060053,0.001941126,0.00009507888,0.0001498584],"category_scores_gemma":[0.0004670027,0.00008686227,0.00004872802,0.002810419,0.001114136,0.0008907868,0.0002180807,0.0001054366,0.00001164832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002663602,"about_ca_system_score_gemma":0.0007318652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008680384,"about_ca_topic_score_gemma":0.000021388,"domain_scores_codex":[0.9963526,0.0001554197,0.000832243,0.0003699869,0.00145023,0.0008395056],"domain_scores_gemma":[0.997901,0.0007415019,0.0002517655,0.0004437397,0.0003532641,0.000308688],"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":[0.00006637739,0.0001696938,0.0004397103,0.00003207203,0.000001666536,0.000007552259,0.00005052031,5.712724e-7,0.9885237,0.004867459,0.00004253122,0.005798159],"study_design_scores_gemma":[0.0007042091,0.000689691,0.001227719,0.0003058875,0.000002668966,0.00003660166,0.00001844903,0.000176566,0.9948571,0.001605832,0.0002664285,0.0001088048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918225,0.002728674,0.003241279,0.001451208,0.0004073952,0.0002951846,0.00002755268,0.00001497103,0.00001126938],"genre_scores_gemma":[0.9858193,0.0002092008,0.01375115,0.00002140219,0.0001294651,0.00003360093,5.709801e-7,0.00001505561,0.00002021241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01050987,"threshold_uncertainty_score":0.4105079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06843745391905476,"score_gpt":0.4341470132799969,"score_spread":0.3657095593609422,"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."}}