{"id":"W4391943770","doi":"10.3389/fnins.2024.1332827","title":"Printable devices for neurotechnology","year":2024,"lang":"en","type":"review","venue":"Frontiers in Neuroscience","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Agence Nationale de la Recherche","keywords":"Biocompatibility; Materials science; Nanotechnology; Flexibility (engineering); Flexible electronics; Scalability; Printed electronics; Electronics; Fabrication; Computer science; Inkwell; Electrical engineering; Engineering; Medicine","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":[0.0003414079,0.0007405787,0.001478868,0.001573939,0.0002252846,0.0003354416,0.002573264,0.0003275758,0.00000225247],"category_scores_gemma":[0.00153102,0.0006066879,0.0004622813,0.003946105,0.0005392411,0.0005267945,0.0005564861,0.001185758,0.00004939646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001464491,"about_ca_system_score_gemma":0.0002760407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001693248,"about_ca_topic_score_gemma":0.000001401194,"domain_scores_codex":[0.9948175,0.0001372882,0.0008279944,0.002517909,0.0004577293,0.001241605],"domain_scores_gemma":[0.9985165,0.000267493,0.0002451985,0.0007888624,0.00001375818,0.000168181],"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":[0.000009426559,0.0001084006,0.000005186216,0.01610608,0.000002638652,0.0006115118,0.00002888023,0.00005654647,0.005912639,0.004817561,0.006519058,0.9658221],"study_design_scores_gemma":[0.00008727969,0.0001217475,7.991728e-7,0.001962672,0.00008851791,0.0002398816,0.000003870226,0.002828443,0.001023606,0.0004984174,0.9925973,0.000547502],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002383602,0.9787129,0.002541113,0.0001326142,0.01535869,0.002211825,0.00008628844,0.0005782559,0.0003545366],"genre_scores_gemma":[0.0000953912,0.9962212,0.0006781271,0.0006732721,0.000117947,0.0006786347,0.000001697652,0.0001375337,0.001396125],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9860782,"threshold_uncertainty_score":0.9996384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09860539095171056,"score_gpt":0.3592636453726783,"score_spread":0.2606582544209677,"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."}}