{"id":"W4391665388","doi":"10.31157/an.v1iinpress.507","title":"Implementación del código estado epiléptico en México: tiempo es cerebro","year":2023,"lang":"es","type":"article","venue":"Archivos de Neurociencias","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Humanities; Medicine; Philosophy","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":[0.003149069,0.0003187374,0.0002756723,0.0008637123,0.0007005869,0.001498922,0.0008547999,0.0007478391,0.004201157],"category_scores_gemma":[0.007645273,0.0001172416,0.0004745751,0.0005766071,0.0004881209,0.001101984,0.001641505,0.0008513794,0.000362889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003787461,"about_ca_system_score_gemma":0.0100847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06113664,"about_ca_topic_score_gemma":0.05705238,"domain_scores_codex":[0.9991865,0.0002968042,0.00009048796,0.00009948144,0.0001721595,0.000154653],"domain_scores_gemma":[0.9974145,0.0005437619,0.0005641152,0.0001427902,0.0009519822,0.0003828499],"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":[0.00081102,0.0005890665,0.1092687,0.005402028,0.000239367,0.002298481,0.007153835,0.001058098,0.00493806,0.007795418,0.05505509,0.805391],"study_design_scores_gemma":[0.0004518994,0.002040728,0.3458854,0.01546991,0.001260924,0.002555352,0.01786704,0.002680749,0.00577588,0.003614629,0.6022657,0.0001317513],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6152597,0.06385665,0.0226592,0.1922279,0.003430819,0.001964914,0.004038823,0.001440765,0.09512123],"genre_scores_gemma":[0.8988286,0.0551365,0.02123139,0.00734359,0.0008513995,0.0009715376,0.001855848,0.0001018074,0.0136793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06113664,"threshold_uncertainty_score":0.1215615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03126043342248064,"score_gpt":0.3054311109317775,"score_spread":0.2741706775092969,"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."}}