{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007710016,0.0002132133,0.000470262,0.00002852521,0.00009173434,0.00000816106,0.0001091243,0.00002942674,0.0000185828],"category_scores_gemma":[0.00007666425,0.0001697248,0.0001172219,0.000400319,0.00002404609,0.00005485965,0.00001894583,0.0002107146,0.0001480789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002198908,"about_ca_system_score_gemma":0.000005131189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004165514,"about_ca_topic_score_gemma":0.000005079913,"domain_scores_codex":[0.9990407,0.00001968448,0.0002135545,0.0001962132,0.0002239935,0.0003058055],"domain_scores_gemma":[0.99953,0.0001483978,0.00003025113,0.0002132102,0.0000313307,0.0000468044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002308236,0.0004059944,0.0004428708,0.04224299,0.002335956,0.0007355636,0.01025779,0.1278936,0.1555158,0.05153074,0.1267684,0.4816395],"study_design_scores_gemma":[0.008781012,0.001048322,0.005420669,0.014912,0.001784019,0.00001878236,0.0003336335,0.2486614,0.1870046,0.2455894,0.2811197,0.005326433],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8616109,0.06878947,0.05334433,0.0008636474,0.002575783,0.002773378,0.001101432,0.00382433,0.005116737],"genre_scores_gemma":[0.9658988,0.03294941,0.0003364285,0.0002391906,0.0003700021,0.00004362146,0.00006141367,0.00005132897,0.00004980325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4763131,"threshold_uncertainty_score":0.6921176,"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."}}