{"id":"W4322758984","doi":"10.1111/epi.17566","title":"From basic sciences and engineering to epileptology: A translational approach","year":2023,"lang":"en","type":"article","venue":"Epilepsia","topic":"Ferroelectric and Negative Capacitance Devices","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Medical Research Council; National Science Foundation; Epilepsy Society; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; University of Bern; Wyss Center for Bio and Neuroengineering; American Epilepsy Society; Wellcome Trust; Citizens United for Research in Epilepsy; Inselspital, Universitätsspital Bern; Institut de Valorisation des Données; Alliance for Epilepsy Research","keywords":"Translational research; Data science; Neuroscience; Basic research; Neuroinformatics; Computer science; Engineering ethics; Medicine; Psychology; Engineering; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001264426,0.0001119844,0.0001364844,0.0001693223,0.00006304447,0.00002646616,0.0001013291,0.00004877652,0.00003832878],"category_scores_gemma":[0.00003059622,0.0001099973,0.0000237192,0.0007088593,0.00004283952,0.0001140805,0.00001057767,0.00009926256,0.0001004594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001174007,"about_ca_system_score_gemma":0.000008424114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006286537,"about_ca_topic_score_gemma":0.000001727233,"domain_scores_codex":[0.9993131,0.00001075102,0.0001135335,0.0002039245,0.0001174573,0.0002412503],"domain_scores_gemma":[0.9996775,0.0001627155,0.000007940944,0.00006893448,0.00001041761,0.00007247321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008257423,0.00009182069,0.07331292,0.0005338913,0.0005813892,0.00007188453,0.02860932,0.524729,0.130971,0.07227299,0.09209663,0.07664666],"study_design_scores_gemma":[0.0003050153,0.00005862449,0.2101689,0.00004230543,0.00001515023,0.000006058319,0.0003412176,0.7765326,0.002091572,0.001787647,0.008255967,0.0003949977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771227,0.0004919829,0.01787789,0.0002874211,0.0002148841,0.0001226001,0.00002963073,0.0004863598,0.003366485],"genre_scores_gemma":[0.9934508,0.00004218296,0.006203549,0.00006050445,0.0001349728,0.00003768774,0.0000186721,0.0000163679,0.00003523781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2518036,"threshold_uncertainty_score":0.4485561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893003550960878,"score_gpt":0.2285578617694188,"score_spread":0.2096278262598101,"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."}}