{"id":"W2023735315","doi":"10.1007/s00285-006-0017-y","title":"M5 mesoscopic and macroscopic models for mesenchymal motion","year":2006,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":136,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mesoscopic physics; Diffusion MRI; Diffusion; Tensor (intrinsic definition); Diffusion equation; Physics; Equations of motion; Convection–diffusion equation; Classical mechanics; Statistical physics; Mathematics; Mathematical analysis; Geometry; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001316468,0.0002571137,0.0009090353,0.0001630928,0.00008678574,0.00002885635,0.0002698946,0.0002847411,0.000131743],"category_scores_gemma":[0.001444337,0.0001739623,0.0002079459,0.00009946318,0.0003115934,0.0001360339,0.00008161781,0.0002617493,0.00001208452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004529106,"about_ca_system_score_gemma":0.00004181182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001617633,"about_ca_topic_score_gemma":0.000001463625,"domain_scores_codex":[0.9977756,0.0001560542,0.001236161,0.000234277,0.0001761466,0.0004218047],"domain_scores_gemma":[0.9963582,0.002431104,0.0006087761,0.0002366353,0.0002299433,0.0001353519],"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":[0.00004751799,0.0002863854,0.0002400865,0.0004603149,0.0000584897,0.000007378549,0.00006858941,0.000002435496,0.00518656,0.9921662,0.00105004,0.0004260436],"study_design_scores_gemma":[0.001060188,0.0004836166,0.0001050002,0.0001070402,0.0001232446,0.0003717003,0.00004464056,0.00257318,0.002834042,0.9919764,0.0001578641,0.0001630587],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4459914,0.0002970776,0.5484378,0.001140858,0.0001816986,0.0004823141,0.00001915724,0.00004214254,0.003407564],"genre_scores_gemma":[0.7824839,0.00001485183,0.2167372,0.00009480736,0.0003077333,0.00002583697,0.000004065128,0.00003193923,0.0002996796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3364925,"threshold_uncertainty_score":0.7093977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04165643244810625,"score_gpt":0.3287816392286338,"score_spread":0.2871252067805276,"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."}}