{"id":"W7133006825","doi":"","title":"In Silico Model Development and Optimization of Lung Cell Population Dynamics","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"In silico; Multicellular organism; Endoderm; Population; Induced pluripotent stem cell; Cellular differentiation; Progenitor cell; Stem cell; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007297641,0.0006735387,0.0007924141,0.0005076854,0.0003901818,0.001196841,0.001192926,0.001352669,0.002113957],"category_scores_gemma":[0.002098598,0.0006255857,0.001164417,0.0003482527,0.0005454999,0.0005610877,0.0008649976,0.0009390506,0.0003548065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076575,"about_ca_system_score_gemma":0.00158357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006313784,"about_ca_topic_score_gemma":0.0038309,"domain_scores_codex":[0.9997465,0.00007819026,0.00001803437,0.00005157002,0.00006887275,0.00003679942],"domain_scores_gemma":[0.9989907,0.0006496263,0.000132018,0.00006364509,0.0001344881,0.00002951045],"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":[0.000003612565,0.000006152363,0.000163556,0.00001604049,0.000004213764,0.00001083575,0.000008714476,0.9961766,0.0007918667,0.001979167,0.0000460367,0.0007932374],"study_design_scores_gemma":[0.000002067612,0.000004692721,0.00003385145,0.000002547661,0.000002498582,0.000003875135,0.00000290281,0.998741,0.0004034966,0.0005410848,0.0002602345,0.000001742227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05545529,0.0002373775,0.9340624,0.000355767,0.00005127365,0.0001300493,0.0005380293,0.0003461259,0.008823726],"genre_scores_gemma":[0.7282174,0.0008514001,0.258632,0.0001839727,0.00004704038,0.00116867,0.0009211706,0.0002546245,0.009723751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006313784,"threshold_uncertainty_score":0.01255405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048598545767629,"score_gpt":0.303730089788534,"score_spread":0.2932441043308577,"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."}}