{"id":"W3034296908","doi":"10.2217/3dp-2019-0020","title":"Structural and Performance Comparison Between Su-8 Microfabricated and 3D-Printed Microneedle Electrodes","year":2020,"lang":"en","type":"article","venue":"Journal of 3D Printing in Medicine","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Stereolithography; Scanning electron microscope; Materials science; Electrode; 3d printed; Nanotechnology; Optoelectronics; Biomedical engineering; Composite material; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0003039218,0.0001312935,0.0003696461,0.0001565351,0.0000714124,0.00003101764,0.0002053152,0.00003292151,0.000006669552],"category_scores_gemma":[0.0007787126,0.00009881496,0.00001558992,0.0003933656,0.0001629876,0.0002169456,0.00008832735,0.000549487,7.407028e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001757046,"about_ca_system_score_gemma":0.00001654357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000612679,"about_ca_topic_score_gemma":2.715701e-7,"domain_scores_codex":[0.9987658,0.0000543589,0.0004984816,0.0002135638,0.0002264708,0.0002413013],"domain_scores_gemma":[0.999295,0.0002158071,0.0002556937,0.00006359824,0.00003073795,0.0001391659],"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":[0.00003286358,0.000003599697,0.1281314,0.00004766735,0.000001833566,0.00001799176,0.000581576,0.00004401107,0.8628605,0.000005679562,0.00001473463,0.008258147],"study_design_scores_gemma":[0.001016384,0.000690992,0.2036337,0.0002068357,0.00001927715,0.0002972753,0.00009422038,0.02209503,0.7714247,0.000007193551,0.0003755965,0.0001388386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974329,0.0002248705,0.0001451243,0.001958512,0.0001066486,0.00007381442,3.61043e-7,0.00001749152,0.00004026299],"genre_scores_gemma":[0.9985651,0.000219794,0.0005416283,0.0004820374,0.0001728606,3.270618e-7,1.345842e-7,0.00001049045,0.000007645459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09143586,"threshold_uncertainty_score":0.4029557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05386563501578451,"score_gpt":0.2969637068084936,"score_spread":0.2430980717927091,"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."}}