{"id":"W4221054754","doi":"10.20944/preprints202203.0355.v1","title":"Scaled-Up Multi-Needle Electrospinning Process Using Parallel Plate Auxiliary Electrodes","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Electrospinning; Materials science; Electric field; Electrode; Nanofiber; Electrohydrodynamics; Composite material; Deposition (geology); Scanning electron microscope; Polymer; Jet (fluid); Nanotechnology; Mechanical engineering; Mechanics; Engineering; Physics","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001960663,0.0008977762,0.001042759,0.0003713411,0.0009836246,0.0001329848,0.003003834,0.0006732468,0.004818874],"category_scores_gemma":[0.0002448623,0.0009783342,0.0003659799,0.0008832194,0.0005110474,0.000270754,0.004047513,0.002471099,0.002027442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001079221,"about_ca_system_score_gemma":0.001140862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003805747,"about_ca_topic_score_gemma":0.00002808912,"domain_scores_codex":[0.9925297,0.0003744713,0.001321243,0.002767826,0.001318322,0.001688374],"domain_scores_gemma":[0.9958224,0.0001718538,0.0009890107,0.002300096,0.0003053001,0.000411368],"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":[0.0001286957,0.0004068966,0.06703734,0.000344001,0.00009627813,0.00001603002,0.0007905667,0.003011388,0.9276705,0.0002897647,0.0001152567,0.00009331891],"study_design_scores_gemma":[0.001022463,0.00007771426,0.01977935,0.0002304529,0.0002185566,0.00007053337,0.0001404466,0.007262435,0.9571286,0.009806981,0.002665117,0.001597321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752883,0.0005777548,0.01850164,0.0005651197,0.001100142,0.00184305,0.0001179614,0.0009940102,0.001011986],"genre_scores_gemma":[0.961844,0.0002843972,0.03281435,0.0004183978,0.0004143259,0.002209241,0.0002650448,0.000218601,0.001531672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04725798,"threshold_uncertainty_score":0.9998302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1160513200985244,"score_gpt":0.3886511246518605,"score_spread":0.2725998045533361,"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."}}