{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004208618,0.001231577,0.000975594,0.002561054,0.0003824532,0.001352364,0.0008698099,0.001678901,0.008232126],"category_scores_gemma":[0.0005268817,0.0003335334,0.0006391323,0.001775776,0.000666865,0.002151421,0.000978179,0.002628644,0.006038091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000691828,"about_ca_system_score_gemma":0.0007650557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004723062,"about_ca_topic_score_gemma":0.0008290112,"domain_scores_codex":[0.9996992,0.00003309566,0.00003149928,0.00004931982,0.0001624905,0.00002446837],"domain_scores_gemma":[0.9998167,0.0000907836,0.00002219763,0.00001101104,0.00004404501,0.00001521661],"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":[0.00003068418,0.00009515422,0.00007622618,0.01319061,0.00004566838,0.0003309223,0.00008745752,0.0005109698,0.009920993,0.02563795,0.04366246,0.9064109],"study_design_scores_gemma":[0.0000047458,0.00003545115,0.0001365714,0.00135842,0.00001964236,0.0006949003,0.00002088674,0.00008101286,0.001442092,0.004292425,0.9919017,0.00001207269],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002596112,0.9866961,0.001658413,0.0004560783,0.0008793034,0.00001957904,0.00005244742,0.00005372693,0.009924816],"genre_scores_gemma":[0.001835698,0.9891178,0.001859101,0.0004966256,0.0003654624,0.00003428796,0.00008864262,0.00001187142,0.006190436],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008232126,"threshold_uncertainty_score":0.02753919,"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."}}