{"id":"W2052642391","doi":"10.1109/tbme.2013.2265877","title":"A Flexible Base Electrode Array for Intraspinal Microstimulation","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Neurological Disorders and Stroke; Alberta Heritage Foundation for Medical Research","keywords":"Materials science; Base (topology); Electrode; Fabrication; Microstimulation; Finite element method; Stiffness; Electrode array; Biomedical engineering; Acoustics; Optoelectronics; Composite material; Structural engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007869925,0.0002058945,0.0001591118,0.0002972167,0.0001635212,0.0000762424,0.0002054303,0.00008858337,0.00009693381],"category_scores_gemma":[0.00008650466,0.0001935745,0.0001095083,0.0005910319,0.00006667998,0.0003410383,0.0000010351,0.0002932526,0.00009523296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000621057,"about_ca_system_score_gemma":0.00002812843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007167959,"about_ca_topic_score_gemma":2.202845e-7,"domain_scores_codex":[0.9985129,0.00001224473,0.000248284,0.0004291361,0.0002820317,0.0005154383],"domain_scores_gemma":[0.9992476,0.0002728262,0.00002839043,0.0001852398,0.0000226287,0.0002433504],"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":[0.00001435752,0.00007373287,1.262298e-7,0.00002409472,0.000002224616,0.000002420193,0.00001775737,0.03435692,0.9591201,0.00006116088,0.00006966686,0.006257451],"study_design_scores_gemma":[0.0003313086,0.0002346177,0.00001158968,0.00002388707,0.000006307457,0.00002621387,0.000002189302,0.1944675,0.8030087,0.00003021825,0.001685773,0.0001716866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09948033,0.000005153705,0.8981393,0.0005521308,0.0009717304,0.0004193014,0.00001718395,0.0003908768,0.00002398841],"genre_scores_gemma":[0.9956111,0.00001894521,0.003275407,0.0004967307,0.0001122279,0.0002328208,0.000001605885,0.00003935683,0.0002118011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8961308,"threshold_uncertainty_score":0.7893741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201919423304988,"score_gpt":0.2492652595772031,"score_spread":0.2272460653441532,"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."}}