{"id":"W2317669218","doi":"10.1103/physreve.86.016215","title":"Finding weak directional coupling in multiscale time series","year":2012,"lang":"en","type":"article","venue":"Physical Review E","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Coupling (piping); Series (stratigraphy); Nonlinear system; Statistical physics; Variety (cybernetics); Computer science; Complex system; Time series; Physics; Biological system; Algorithm; Artificial intelligence; Machine learning; Materials science; Biology; Quantum mechanics","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":[0.001191235,0.0005929868,0.0005721145,0.001415352,0.0003485552,0.0007010645,0.0007951099,0.0006022551,0.0009264078],"category_scores_gemma":[0.00453055,0.0003907044,0.0006239411,0.0007992446,0.0006823839,0.0009548605,0.001062924,0.0007824725,0.0002505126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002185329,"about_ca_system_score_gemma":0.0003700042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009213085,"about_ca_topic_score_gemma":0.001039301,"domain_scores_codex":[0.999637,0.00009604057,0.00002572573,0.00009863939,0.000113342,0.00002918468],"domain_scores_gemma":[0.9985654,0.0006329842,0.0003459452,0.0001689908,0.0001876412,0.00009915977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003118768,0.0001718621,0.01413434,0.0005424904,0.0004962454,0.0005470128,0.0006257916,0.3423919,0.1056279,0.1832768,0.002514596,0.3493593],"study_design_scores_gemma":[0.0000131516,0.00005098093,0.001881781,0.00001129815,0.00002886693,0.00008807337,0.00003011965,0.9639799,0.003034791,0.02939021,0.001464867,0.00002601838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03585202,0.0002244331,0.9626852,0.0001147687,0.00003692002,0.00002060747,0.00005101793,0.0001197337,0.0008951971],"genre_scores_gemma":[0.6018459,0.0007594716,0.3939518,0.0001424906,0.000222731,0.0001310366,0.000273041,0.0001171908,0.002556487],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001415352,"threshold_uncertainty_score":0.006299913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192892340061355,"score_gpt":0.2967348862941713,"score_spread":0.2774456522880357,"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."}}