{"id":"W2802941042","doi":"10.1103/physreve.97.042415","title":"Measuring neuronal avalanches in disordered systems with absorbing states","year":2018,"lang":"en","type":"article","venue":"Physical review. E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Statistical physics; Power law; Physics; Critical point (mathematics); Mathematics; Mathematical analysis; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005276675,0.0002434623,0.0003130026,0.000792828,0.0003121468,0.0005581647,0.0006612082,0.0004803865,0.000916164],"category_scores_gemma":[0.003076632,0.0002302107,0.0002399352,0.0004678825,0.0007799575,0.001138272,0.0007434297,0.000611042,0.0001113235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004552068,"about_ca_system_score_gemma":0.0001712061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004333185,"about_ca_topic_score_gemma":0.0003423693,"domain_scores_codex":[0.9998165,0.00004215512,0.000014075,0.00005353627,0.0000465058,0.0000273534],"domain_scores_gemma":[0.9986136,0.0008100058,0.0002269488,0.0001508545,0.00009340869,0.0001052001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008310723,0.0006049277,0.04452678,0.0007670642,0.0002498318,0.001086347,0.001022289,0.1650781,0.6709975,0.06082855,0.0007816999,0.05322585],"study_design_scores_gemma":[0.00005394643,0.0005708008,0.03683897,0.00005037191,0.0000743495,0.001038335,0.0003549544,0.7787157,0.1211681,0.06005197,0.0009843637,0.00009817851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9077274,0.0004005466,0.0887107,0.00009288244,0.00002610624,0.00004803963,0.0001184496,0.0001644538,0.002711429],"genre_scores_gemma":[0.9896871,0.0001177323,0.009880267,0.00002001602,0.000005556945,0.00002596865,0.00005367924,0.000008187881,0.0002015571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000916164,"threshold_uncertainty_score":0.003302753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04784973952816353,"score_gpt":0.2901566862389761,"score_spread":0.2423069467108125,"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."}}