{"id":"W4405945883","doi":"10.18280/mmep.111212","title":"A General Stochastic Model for Tumor Growth: Simulating Cardiac Tumor (Myxoma) Development","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Myxoma; Cardiac Tumors; Computer science; Internal medicine; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003285101,0.0002418229,0.0003695778,0.0002846321,0.0002030468,0.0009934228,0.0003473928,0.00003664258,0.00000817094],"category_scores_gemma":[0.0006850346,0.000185776,0.0001198384,0.0003638287,0.00003131128,0.0001836736,0.0002282051,0.00014689,0.00005137712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004293501,"about_ca_system_score_gemma":0.00004774653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002748897,"about_ca_topic_score_gemma":1.909767e-7,"domain_scores_codex":[0.9972772,0.00001629107,0.0007440973,0.0007903103,0.0007109714,0.0004611369],"domain_scores_gemma":[0.998105,0.001169749,0.00005603746,0.0003860825,0.0001091725,0.000173967],"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":[0.000002383767,0.00001766208,0.000001249994,0.000391724,0.00002556202,0.000002148233,0.001189675,0.9706606,0.0000575513,0.02519773,0.0002954861,0.002158248],"study_design_scores_gemma":[0.00008977579,0.00001330417,0.000001035155,0.0003319512,0.00002345661,0.000004999597,0.00003803577,0.922417,0.00002442524,0.07613281,0.0006913091,0.0002319134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06065547,0.0002906212,0.9377515,0.00009064664,0.0004178691,0.0003693847,0.00001527236,0.0002942785,0.0001149439],"genre_scores_gemma":[0.7171127,8.904699e-7,0.2817057,0.00001796424,0.00009084994,0.00008544407,0.00000615835,0.00003355344,0.0009467729],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6564572,"threshold_uncertainty_score":0.9579598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1134980561267541,"score_gpt":0.3094949730613445,"score_spread":0.1959969169345903,"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."}}