{"id":"W4280551410","doi":"10.1016/j.physa.2022.127676","title":"An empirical method to characterize displacement distribution functions for anomalous and transient diffusion","year":2022,"lang":"en","type":"article","venue":"Physica A Statistical Mechanics and its Applications","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; University of Ottawa","keywords":"Kurtosis; Anomalous diffusion; Statistical physics; Mean squared displacement; Gaussian; Lattice Boltzmann methods; Brillouin and Langevin functions; Skewness; Gaussian function; Distribution function; Lattice (music); Physics; Mathematics; Computer science; Molecular dynamics; Mechanics; Statistics; 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":[0.001724306,0.0005863752,0.0004055098,0.00175572,0.0005415758,0.0008551828,0.001141199,0.000924124,0.002321921],"category_scores_gemma":[0.007319136,0.0003310074,0.0004083085,0.0008517104,0.001063968,0.001775627,0.000872464,0.001102092,0.0005147156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006911274,"about_ca_system_score_gemma":0.001041099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001699242,"about_ca_topic_score_gemma":0.001580971,"domain_scores_codex":[0.9997048,0.00008855498,0.00001897365,0.00004823258,0.0001133639,0.0000260657],"domain_scores_gemma":[0.9973654,0.001540759,0.0002328197,0.0003678732,0.0004036414,0.00008946302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008106095,0.0002276714,0.005358642,0.0001526929,0.0000638433,0.0001747182,0.0003353057,0.2937982,0.02524301,0.5343576,0.002445485,0.1377616],"study_design_scores_gemma":[0.00000358522,0.0000123363,0.000293423,0.000008877398,0.000004260052,0.00008888178,0.00001738029,0.9798831,0.001598969,0.01688595,0.001193119,0.00001015666],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0107301,0.00007617566,0.987936,0.00005434329,0.00001537983,0.0000313193,0.00004827965,0.000169651,0.0009386652],"genre_scores_gemma":[0.4572127,0.0004767002,0.5337495,0.0001545422,0.00008791475,0.0003980132,0.0003760885,0.0003904323,0.007154095],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002321921,"threshold_uncertainty_score":0.009119093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454457153262476,"score_gpt":0.3126459767745515,"score_spread":0.2881014052419268,"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."}}