{"id":"W1984169872","doi":"10.1515/bmt.2009.040","title":"Symbolic transfer entropy: inferring directionality in biosignals","year":2009,"lang":"en","type":"article","venue":"Biomedizinische Technik/Biomedical Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft; University of Manitoba","keywords":"Transfer entropy; Directionality; Dynamical systems theory; Computer science; Entropy (arrow of time); Nonlinear system; Complex system; Artificial intelligence; Information transfer; Nonlinear dynamical systems; Statistical physics; Principle of maximum entropy; Physics; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004641838,0.0003236632,0.0003695785,0.0007614917,0.00008946117,0.00006215913,0.0003642363,0.0002691139,0.00008203588],"category_scores_gemma":[0.0005508803,0.0002962876,0.000137855,0.001791043,0.0001334442,0.000244371,0.00005543595,0.0005435817,0.0000371457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001184718,"about_ca_system_score_gemma":0.0000455542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001475842,"about_ca_topic_score_gemma":0.000001090442,"domain_scores_codex":[0.9973947,0.00005301279,0.0005758769,0.000638237,0.0006669564,0.0006711518],"domain_scores_gemma":[0.9991563,0.0001905702,0.00004198237,0.0002889669,0.00002163813,0.0003005449],"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":[0.00001830737,0.0001983765,0.00009022223,0.00002823577,0.000004092648,0.0000564567,0.00003826535,0.000048551,0.9809925,0.01193634,0.0001025199,0.006486148],"study_design_scores_gemma":[0.002220057,0.0006849042,0.02913886,0.0003844003,0.00003156125,0.0002399132,0.00002416184,0.04879324,0.8171863,0.001691088,0.09825101,0.001354497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654074,0.0001259523,0.02604166,0.003533617,0.001437884,0.0006574829,0.00004702879,0.001700271,0.001048729],"genre_scores_gemma":[0.9980647,0.00004508469,0.0007199501,0.0007394136,0.0002864772,0.00004409555,0.00001579919,0.00003175449,0.00005273053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1638062,"threshold_uncertainty_score":0.9999489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819218054908909,"score_gpt":0.247616108485253,"score_spread":0.2294239279361639,"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."}}