{"id":"W4372319248","doi":"10.1093/cercor/bhad154","title":"Inter-individual variability during neurodevelopment: an investigation of linear and nonlinear resting-state EEG features in an age-homogenous group of infants","year":2023,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; HEC Montréal; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research; Kids Brain Health Network; National Science Foundation","keywords":"Electroencephalography; Resting state fMRI; Population; Fractal dimension; Psychology; Approximate entropy; Pattern recognition (psychology); Audiology; Neuroscience; Mathematics; Cognitive psychology; Medicine; Fractal","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":[0.000470162,0.000158125,0.0002304652,0.0002317808,0.0001046713,0.00003708158,0.0002165234,0.00006818881,0.000005424866],"category_scores_gemma":[0.0004382932,0.0001521527,0.00002843713,0.0006591302,0.000180577,0.0003931407,0.0001863025,0.000229866,0.000001561547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002057673,"about_ca_system_score_gemma":0.00004006203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001345569,"about_ca_topic_score_gemma":0.0004071737,"domain_scores_codex":[0.9982629,0.0002726357,0.0004346251,0.0005177186,0.0002580239,0.0002540476],"domain_scores_gemma":[0.9992247,0.0001490568,0.0001980933,0.0002713606,0.00004689411,0.0001098596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001326718,0.00007570071,0.2024292,0.000126727,0.000003380428,0.00004308623,0.002485248,0.0002030023,0.7906116,0.0001058765,0.000002846832,0.003780721],"study_design_scores_gemma":[0.000425965,0.0003279065,0.9397966,0.00004646343,0.00000595745,0.00001445984,0.00005886968,0.01369184,0.04442906,0.001060518,0.000001913501,0.0001404064],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993247,0.000002382277,0.000009748547,0.00003701085,0.000190425,0.0002624101,0.00006930411,0.00008099637,0.00002306186],"genre_scores_gemma":[0.9992635,0.00001079596,0.0004624134,0.00009248197,0.00002514378,0.000006007298,0.00007687868,0.00002179676,0.00004096056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7461825,"threshold_uncertainty_score":0.6204606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295535690645109,"score_gpt":0.2614817222624753,"score_spread":0.2319281531979644,"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."}}