{"id":"W3200528799","doi":"10.32393/csme.2021.200","title":"Sensitivity Study For Optimizing Electrospun Helix Fibers Production For Cardiac Scaffold","year":2021,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering. Volume 4","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Sensitivity (control systems); Scaffold; Production (economics); Helix (gastropod); Materials science; Biomedical engineering; Engineering; Electronic engineering; Biology","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":[0.001513618,0.000262753,0.0004400855,0.0001841889,0.0001989421,0.0001155495,0.0002371226,0.0002008666,0.00002922791],"category_scores_gemma":[0.0004349264,0.0003038054,0.0001382377,0.000668604,0.00005569506,0.000133835,0.00005848288,0.0001966261,0.00001196616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008510171,"about_ca_system_score_gemma":0.0006370462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002634538,"about_ca_topic_score_gemma":0.02358999,"domain_scores_codex":[0.9971417,0.00007306571,0.0004221931,0.0008720725,0.0003005743,0.001190441],"domain_scores_gemma":[0.9984605,0.0001810137,0.00007228561,0.0004989438,0.0002610345,0.0005261678],"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":[0.0001483531,0.0009781831,0.003485322,0.000595121,0.0002043021,0.0001006929,0.0004443258,0.002267394,0.9476091,0.01462716,0.006282346,0.02325767],"study_design_scores_gemma":[0.001840531,0.0009579161,0.001646984,0.0001845548,0.0002112947,0.00005704024,0.0001817485,0.1092763,0.826372,0.001318552,0.05639356,0.00155955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5527877,0.004122209,0.3952343,0.01972662,0.00808857,0.0174799,0.001208652,0.001278652,0.0000733949],"genre_scores_gemma":[0.7411649,0.00001645978,0.2539764,0.0001551888,0.0005117075,0.003707941,0.0001116714,0.00009858499,0.0002571787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1883772,"threshold_uncertainty_score":0.9999414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008262710347663894,"score_gpt":0.2469043820339285,"score_spread":0.2386416716862646,"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."}}