{"id":"W3000578595","doi":"10.1103/physreve.101.012908","title":"Mapping diffusivity of narrow channels into one dimension","year":2020,"lang":"en","type":"article","venue":"Physical review. E","topic":"Material Dynamics and Properties","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Western Canada Research Grid; Compute Canada","keywords":"Mean squared displacement; Diffusion; Dimension (graph theory); Thermal diffusivity; Particle (ecology); Displacement (psychology); Volume fraction; Projection (relational algebra); Mass diffusivity; Statistical physics; Square (algebra); Dynamics (music); Physics; Diffusion equation; Molecular dynamics; Geometry; Mathematics; Thermodynamics; Combinatorics; Engineering","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":[0.0001277453,0.000244271,0.0002177565,0.0003298551,0.0001954308,0.0004479811,0.0002418495,0.0002699536,0.0005494755],"category_scores_gemma":[0.0006076753,0.0001671276,0.0001864072,0.0001526945,0.0004210614,0.0008114552,0.0003726038,0.0003209818,0.00006693548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004273668,"about_ca_system_score_gemma":0.0003821817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00125975,"about_ca_topic_score_gemma":0.0008721706,"domain_scores_codex":[0.9999626,0.000005771582,0.000001895896,0.00001362465,0.000007891421,0.000008233678],"domain_scores_gemma":[0.9998234,0.00008351335,0.00003615998,0.00002441011,0.00001749218,0.00001505238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003122582,0.0001766778,0.009137622,0.0002724905,0.00006840917,0.0002356806,0.000341875,0.5715807,0.317181,0.07976972,0.0004041012,0.02051944],"study_design_scores_gemma":[0.00001651664,0.00005580575,0.002155022,0.000009855862,0.00001121409,0.00004760903,0.00003231575,0.963895,0.02728037,0.005790439,0.000682752,0.00002315261],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9551303,0.0004909486,0.04104623,0.00009589662,0.00002134792,0.00001371232,0.00007155791,0.0001150226,0.003014961],"genre_scores_gemma":[0.9912287,0.000275665,0.008092965,0.000009313786,0.000003191959,0.00001506896,0.00002932968,0.00001249562,0.0003331861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00125975,"threshold_uncertainty_score":0.003100753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03578909509793897,"score_gpt":0.2851716017267374,"score_spread":0.2493825066287985,"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."}}