{"id":"W4386072978","doi":"10.1103/physreve.108.024135","title":"Random walks on modular chains: Detecting structure through statistics","year":2023,"lang":"en","type":"article","venue":"Physical review. E","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kurtosis; Statistical physics; Cumulant; Diffusion; Moment (physics); Random walk; Physics; Biological system; Statistics; Mathematics; Thermodynamics; Quantum mechanics","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":[0.0009319542,0.0004541932,0.0003980345,0.001541899,0.0002357813,0.0006979493,0.0004603489,0.0005581867,0.0003830629],"category_scores_gemma":[0.005117408,0.0002580576,0.0003828105,0.0007072591,0.001062542,0.0009548546,0.0005218242,0.0004197543,0.0000918674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004704025,"about_ca_system_score_gemma":0.0003631029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001532225,"about_ca_topic_score_gemma":0.001294807,"domain_scores_codex":[0.9997839,0.00009214023,0.00000940161,0.00004151257,0.0000404696,0.00003252872],"domain_scores_gemma":[0.9975014,0.001525484,0.0005817561,0.0001353933,0.00013171,0.0001242372],"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":[0.000156457,0.0001310133,0.01096785,0.000120444,0.00009566342,0.0002682929,0.0001991703,0.8027248,0.03747865,0.123992,0.0003955821,0.02347002],"study_design_scores_gemma":[0.000005419847,0.00001802858,0.0007322668,0.000004134325,0.000002964913,0.00001707746,0.000007260459,0.9862382,0.001034321,0.01184261,0.00008966339,0.000008005783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6750077,0.0003928865,0.3223906,0.0002168743,0.00002299951,0.00004240537,0.00009774228,0.0002292342,0.001599568],"genre_scores_gemma":[0.9711837,0.0002712701,0.02773881,0.00003134264,0.00002360251,0.00004218715,0.00008588288,0.00003010015,0.0005931638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001541899,"threshold_uncertainty_score":0.004928648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642228857534643,"score_gpt":0.2875568524408912,"score_spread":0.2711345638655448,"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."}}