{"id":"W2892291817","doi":"10.1186/s12938-018-0557-6","title":"Comparative mechanical analysis of deep brain stimulation electrodes","year":2018,"lang":"en","type":"review","venue":"BioMedical Engineering OnLine","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Finite element method; Electrode; Microelectrode; Parametric statistics; Fabrication; Materials science; Mechanical engineering; Sensitivity (control systems); Computer science; Biomedical engineering; Structural engineering; Engineering; Electronic 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002433413,0.000481007,0.00211501,0.001370475,0.00004976844,0.00002734902,0.0006636155,0.0002985873,0.00006180452],"category_scores_gemma":[0.001421538,0.0003871756,0.0006558566,0.005089041,0.0001731458,0.0001081201,0.000149714,0.0004946432,0.00001672059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008566723,"about_ca_system_score_gemma":0.00008248056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002203017,"about_ca_topic_score_gemma":0.000001956845,"domain_scores_codex":[0.997017,0.0001019946,0.0009294634,0.000776685,0.0006753452,0.0004994593],"domain_scores_gemma":[0.9977524,0.001244981,0.0002793315,0.0004314818,0.00003268305,0.0002591027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006118237,0.002329463,0.000001088549,0.01853475,0.002254288,0.0002681953,0.000299213,0.01287424,0.3771718,0.004585476,0.0007242447,0.5808961],"study_design_scores_gemma":[0.0001709562,0.0003312882,0.000009125786,0.001244718,0.001779755,0.00002904413,0.000001963494,0.4865471,0.004310324,0.000006370191,0.5049988,0.0005705174],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003370849,0.94247,0.05006415,0.00009590834,0.00156886,0.001058083,0.0006566336,0.0006907656,0.00002470673],"genre_scores_gemma":[0.00855143,0.9881015,0.001939293,0.0001325842,0.0006181393,0.00004516901,0.0004324622,0.0001058286,0.00007352958],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5803256,"threshold_uncertainty_score":0.999858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08454009018801545,"score_gpt":0.377771858054053,"score_spread":0.2932317678660376,"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."}}