{"id":"W3203340479","doi":"10.1103/physreve.107.044402","title":"Swapping in lattice-based cell migration models","year":2023,"lang":"en","type":"article","venue":"Physical review. E","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre for Doctoral Training in Statistical Applied Mathematics, University of Bath; University of Bath; Engineering and Physical Sciences Research Council; McGill University; National Centre for the Replacement, Refinement and Reduction of Animals in Research; North West Cancer Research","keywords":"Swap (finance); Lattice (music); Statistical physics; Neighbourhood (mathematics); Computer science; Agent-based model; Biological system; Physics; Mathematics; Biology; Artificial intelligence; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005910785,0.0006484653,0.001091413,0.001049236,0.001098447,0.001435821,0.00203605,0.002137166,0.002970653],"category_scores_gemma":[0.00187863,0.000492282,0.0009670463,0.0008145804,0.002171715,0.001799682,0.001433814,0.001127775,0.0004438038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276062,"about_ca_system_score_gemma":0.0007561453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007206229,"about_ca_topic_score_gemma":0.003690067,"domain_scores_codex":[0.999576,0.0001671032,0.00002144736,0.00005154157,0.0001110749,0.00007279507],"domain_scores_gemma":[0.999068,0.0003963512,0.0001896854,0.00007312417,0.00009410729,0.0001788247],"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":[0.00004294755,0.00006223484,0.0006952834,0.00005421814,0.00003160584,0.0002081051,0.00009586737,0.8777258,0.001898309,0.1161885,0.000832219,0.002164918],"study_design_scores_gemma":[0.00001439562,0.00001211777,0.00007455608,0.000004392305,0.00000392183,0.00003341475,0.00001785183,0.9794645,0.0000979271,0.01989064,0.0003772613,0.000009026256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5214727,0.002996985,0.4197057,0.003404601,0.0004384872,0.0001494709,0.0005163204,0.0004726494,0.05084309],"genre_scores_gemma":[0.9712222,0.0008722378,0.01689615,0.0003168193,0.00008360552,0.0001670704,0.0001455493,0.00006516758,0.01023119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007206229,"threshold_uncertainty_score":0.0143286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02514631941794716,"score_gpt":0.3186265639026495,"score_spread":0.2934802444847024,"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."}}