{"id":"W1495172023","doi":"10.1007/11790273_4","title":"A 3-D Computational Model for Multicellular Tissue Growth","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Slime Mold and Myxomycetes Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Multicellular organism; Cellular automaton; Markov chain; Computer science; Population; Dynamics (music); Stochastic cellular automaton; Biological system; Artificial intelligence; Cell; Biology; Machine learning","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"],"consensus_categories":[],"category_scores_codex":[0.0002328548,0.0003058834,0.000290125,0.0004437059,0.0001058311,0.0001375703,0.00062751,0.0002101481,0.00001424706],"category_scores_gemma":[0.00002979669,0.0003039125,0.00007646511,0.0001517678,0.0002474411,0.00011421,0.0001377494,0.0003889408,0.00002076015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001954851,"about_ca_system_score_gemma":0.0001413724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001034396,"about_ca_topic_score_gemma":0.00001519372,"domain_scores_codex":[0.9982007,0.000004468741,0.000267498,0.0005272554,0.0005230256,0.000477023],"domain_scores_gemma":[0.9990739,0.0003278412,0.00003572187,0.000275027,0.0001942947,0.00009326256],"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":[0.000002657238,0.00000665263,0.00001162376,0.0000920641,0.000007260613,0.00001208906,0.00009283541,0.9592717,0.0003041309,0.001212624,0.0001660535,0.03882032],"study_design_scores_gemma":[0.0002312651,0.00003327969,0.00001655658,0.00008762447,0.000006038638,0.000007524932,2.078767e-8,0.9337503,0.001254018,0.06367576,0.0006245694,0.0003130253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001459208,0.0004508055,0.9960978,0.00007630813,0.0003786603,0.0004635714,0.00003508725,0.0001405358,0.002211313],"genre_scores_gemma":[0.5236353,0.00001252956,0.4747276,0.0001453659,0.0003513937,0.00002504262,0.00005716774,0.00007209144,0.0009735444],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5234894,"threshold_uncertainty_score":0.9999413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187502961958704,"score_gpt":0.2527770021598702,"score_spread":0.2340267059639998,"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."}}