{"id":"W2421761715","doi":"10.1109/mdat.2016.2571692","title":"Guest Editors' Introduction: Implantable Medical Devices","year":2016,"lang":"en","type":"article","venue":"IEEE Design and Test","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Biosignal; Wearable computer; Computer science; Electronics; Engineering; Embedded system; Electrical engineering; Telecommunications","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":[0.000254077,0.0001146421,0.0001236482,0.00004539168,0.0001220628,0.00007440359,0.0002170117,0.00007179659,0.0001592883],"category_scores_gemma":[0.000598781,0.00006794474,0.00001922,0.00009294135,0.0001539843,0.0002319818,0.00003618538,0.00008715293,0.0001916806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000106573,"about_ca_system_score_gemma":0.00003691846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007841314,"about_ca_topic_score_gemma":0.000003464902,"domain_scores_codex":[0.9989223,0.00008271545,0.0001488859,0.0003596009,0.000255559,0.0002309435],"domain_scores_gemma":[0.9979366,0.001699465,0.00004326086,0.0001522042,0.00002272361,0.000145712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000171097,0.00007559852,0.0009088439,0.00001232467,0.000003543238,0.00003541331,0.00005433954,9.252745e-7,0.4044774,0.0002547406,0.5886369,0.005522834],"study_design_scores_gemma":[0.000293374,0.0001742309,0.0001588632,0.00004568193,0.000004634205,0.0004250241,0.000004811633,0.0001250691,0.6710665,0.0001866232,0.3273816,0.0001335477],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.688781,0.0005639889,0.08518608,0.07400803,0.1405932,0.001160785,0.0001019169,0.00154804,0.008057053],"genre_scores_gemma":[0.9688365,0.00007835863,0.0002876069,0.0008379954,0.02892534,0.000009410692,4.047338e-7,0.00001180378,0.001012537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2800556,"threshold_uncertainty_score":0.2770706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0252964502422877,"score_gpt":0.2616023438905067,"score_spread":0.236305893648219,"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."}}