{"id":"W2978207071","doi":"10.1109/ijcnn.2019.8852467","title":"Online Estimation of Multiple Dynamic Graphs in Pattern Sequences","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Ising model; Binary number; Modular decomposition; Theoretical computer science; Series (stratigraphy); Algorithm; Graph; Pattern recognition (psychology); Artificial intelligence; Mathematics; Line graph; Statistical physics; Pathwidth","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":[0.0008300977,0.0006937714,0.0007731959,0.001331624,0.0002952827,0.0007184185,0.001019202,0.0009187703,0.0009055086],"category_scores_gemma":[0.007830286,0.0007581761,0.0005443962,0.00101837,0.0006367976,0.001513523,0.0006939767,0.001121758,0.0002846466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000685654,"about_ca_system_score_gemma":0.0006366531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00461066,"about_ca_topic_score_gemma":0.005294143,"domain_scores_codex":[0.9995835,0.0001097237,0.0000194745,0.0001697452,0.00007862576,0.00003887787],"domain_scores_gemma":[0.9963759,0.002505203,0.000504031,0.0002224675,0.0002379276,0.000154575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001590914,0.0001060828,0.006835551,0.0001285277,0.0001086647,0.0002299116,0.0001250133,0.8682779,0.00954957,0.01874369,0.001148088,0.09458793],"study_design_scores_gemma":[0.000003018223,0.000004135688,0.0004410538,0.000002385181,0.000002292157,0.00001470641,0.000003806774,0.9944175,0.0003399002,0.004689422,0.00007906139,0.000002713616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1399628,0.000213206,0.8581374,0.000228779,0.00002260706,0.00004770162,0.0002184513,0.0005252167,0.0006438589],"genre_scores_gemma":[0.8330389,0.0002851383,0.1640832,0.00006850377,0.00004264413,0.00009693795,0.0007626993,0.00009682422,0.001525228],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00461066,"threshold_uncertainty_score":0.009167612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03317553649990351,"score_gpt":0.2880129353435724,"score_spread":0.2548373988436688,"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."}}