{"id":"W2755933071","doi":"10.1007/s00033-018-0964-3","title":"The fractional diffusion limit of a kinetic model with biochemical pathway","year":2018,"lang":"de","type":"article","venue":"Zeitschrift für angewandte Mathematik und Physik","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"European Research Council; National Natural Science Foundation of China; Agence Nationale de la Recherche","keywords":"Limit (mathematics); Noise (video); Diffusion; Chemotaxis; Randomness; Scaling; Mathematical model","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001015826,0.001072182,0.001477649,0.0001813605,0.0008189999,0.0001900157,0.00126287,0.0005603196,0.0003995851],"category_scores_gemma":[0.0008534344,0.0006505962,0.0004538677,0.0007212049,0.002518149,0.0002139394,0.0005811531,0.0008959994,0.0008621024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003846487,"about_ca_system_score_gemma":0.000374802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002048272,"about_ca_topic_score_gemma":0.00002037027,"domain_scores_codex":[0.9944407,0.0002991311,0.001628989,0.001013026,0.001398448,0.001219724],"domain_scores_gemma":[0.9926644,0.002845297,0.001344705,0.001938264,0.0008048337,0.0004024824],"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":[0.0009118878,0.003041321,0.00003070844,0.00201368,0.001346211,0.00001723844,0.003469705,0.00001640868,0.05062689,0.9278659,0.009949676,0.0007103979],"study_design_scores_gemma":[0.005298558,0.003166579,0.00008659486,0.003290456,0.002666974,0.0001215259,0.000879492,0.07641547,0.3415611,0.5414793,0.02266815,0.002365832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5972171,0.01456662,0.190032,0.004991477,0.002303694,0.007936501,0.001410415,0.00107836,0.1804638],"genre_scores_gemma":[0.9737732,0.0003005443,0.02088902,0.0002131324,0.001403335,0.0001777815,0.00007034164,0.0002513506,0.002921333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3863866,"threshold_uncertainty_score":0.9999158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188433126031195,"score_gpt":0.2875866907223521,"score_spread":0.2657023594620401,"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."}}