{"id":"W4281491410","doi":"10.1515/bmt-2022-0017","title":"Non-woven textiles for medical implants: mechanical performances improvement","year":2022,"lang":"en","type":"article","venue":"Biomedizinische Technik/Biomedical Engineering","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôpital Saint-François d'Assise; Centre hospitalier universitaire de Québec","funders":"","keywords":"Image stitching; Reinforcement; Ultimate tensile strength; Materials science; Composite material; Textile; Weaving; Yarn; Woven fabric; Structural engineering; Computer science; Engineering","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":[0.0002949616,0.0004243475,0.000155264,0.0003531217,0.00008191589,0.0002537576,0.0001200618,0.0004684536,0.001027593],"category_scores_gemma":[0.0003175118,0.0001428354,0.0002315906,0.000214526,0.0001228081,0.0002859216,0.0001674518,0.0002048676,0.000341093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007768635,"about_ca_system_score_gemma":0.00004837728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003812666,"about_ca_topic_score_gemma":0.0001712306,"domain_scores_codex":[0.9998214,0.00003566047,0.00001389549,0.00002399855,0.00008094474,0.0000241279],"domain_scores_gemma":[0.9997514,0.00007116514,0.00009215921,0.00002373114,0.00003546277,0.00002602744],"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":[0.00003401746,0.00001379758,0.0001179886,0.00007022957,0.000003170233,0.00004622,0.00001201458,0.00008546551,0.9961258,0.00001729165,0.0000118604,0.00346222],"study_design_scores_gemma":[0.000007210086,0.000719806,0.007746607,0.00002060162,0.0000198941,0.0004387747,0.00003074674,0.001213037,0.9875028,0.00003946329,0.002252222,0.000008875393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827792,0.006757805,0.008112321,0.00006113805,0.00004824956,0.00002816324,0.00006537897,0.00007127927,0.002076307],"genre_scores_gemma":[0.9894768,0.00219447,0.006261604,0.00003414961,0.000021304,0.00001896933,0.00005958206,0.00002748657,0.001905596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001027593,"threshold_uncertainty_score":0.003437638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005636584656987148,"score_gpt":0.2404658272299753,"score_spread":0.2348292425729881,"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."}}