{"id":"W3110209675","doi":"10.3390/iecb2020-07052","title":"Biosensor Technology in Diagnostics and Mechanistic Studies of Epilepsy","year":2020,"lang":"en","type":"article","venue":"","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Epilepsy; Biosensor; Neuroscience; Electroencephalography; Glutamate receptor; Computer science; Computational biology; Nanotechnology; Chemistry; Biology; Materials science; Biochemistry; Receptor","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":[0.001971991,0.0007473236,0.001094287,0.001329698,0.0003990807,0.001640302,0.0009705098,0.002746001,0.001768405],"category_scores_gemma":[0.001116926,0.0004611474,0.0007506075,0.00112808,0.001449483,0.001946385,0.001163368,0.002915735,0.001891928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009533791,"about_ca_system_score_gemma":0.0007860388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005139185,"about_ca_topic_score_gemma":0.0005253181,"domain_scores_codex":[0.9987987,0.0003749696,0.00006247056,0.0002246221,0.0004346447,0.0001046146],"domain_scores_gemma":[0.9995801,0.0001960389,0.00004853228,0.00003698174,0.0001028483,0.000035607],"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":[0.0002525721,0.0002022405,0.001249215,0.007035081,0.0001694666,0.001349985,0.0004609088,0.002137706,0.538184,0.101119,0.01277455,0.3350653],"study_design_scores_gemma":[0.00004557149,0.001113737,0.00196608,0.001448637,0.0001377932,0.004230367,0.0004037906,0.004946711,0.3495993,0.04896997,0.586984,0.0001540504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01182436,0.8256713,0.1259966,0.006464128,0.00236752,0.0001317166,0.0002979547,0.0005460987,0.02670041],"genre_scores_gemma":[0.1398432,0.7382978,0.09772069,0.004321032,0.001543902,0.0003150329,0.0003334826,0.00008968058,0.01753529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002746001,"threshold_uncertainty_score":0.01042902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1554013267365574,"score_gpt":0.3929973144172098,"score_spread":0.2375959876806523,"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."}}