{"id":"W7018227195","doi":"","title":"Computational Systems Biology in Cancer: Modeling Methods and Applications","year":2007,"lang":"en","type":"article","venue":"National Research Council Canada (Government of Canada)","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Genome Alberta; Genome Canada","keywords":"Systems biology; Modelling biological systems; Computational model; Key (lock); Computational complexity theory","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00146477,0.0006203617,0.001004505,0.0007767369,0.0005957948,0.001851731,0.001562288,0.001125775,0.003345943],"category_scores_gemma":[0.005018573,0.0003914855,0.0007565767,0.001280621,0.000833507,0.0009199519,0.001102404,0.00137678,0.0006225129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002163213,"about_ca_system_score_gemma":0.004077605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04692461,"about_ca_topic_score_gemma":0.04276444,"domain_scores_codex":[0.9996021,0.0001973591,0.00001459903,0.00004267885,0.0001200511,0.000023221],"domain_scores_gemma":[0.9984636,0.001067106,0.00008886151,0.00008260566,0.0002196937,0.00007799502],"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":[0.00002411455,0.00004563656,0.00167672,0.000373176,0.0001013291,0.00005135226,0.0001434442,0.6617121,0.000545462,0.2562169,0.01514539,0.06396439],"study_design_scores_gemma":[0.000009921312,0.000007693432,0.0002692186,0.00002776589,0.0000195337,0.00002551108,0.00002476365,0.9077559,0.0001615417,0.08233679,0.009352929,0.000008487377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01401531,0.01028547,0.9530464,0.01019305,0.0003960826,0.0001055041,0.0006706538,0.000419706,0.01086779],"genre_scores_gemma":[0.4591572,0.02485342,0.4869127,0.001262562,0.0007146525,0.0009265608,0.000823355,0.0003230559,0.02502651],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04692461,"threshold_uncertainty_score":0.09330291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2146057123430659,"score_gpt":0.4336975105020233,"score_spread":0.2190917981589574,"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."}}