{"id":"W2913682450","doi":"10.1016/j.neo.2020.09.008","title":"Cancer: A turbulence problem","year":2020,"lang":"en","type":"review","venue":"Neoplasia","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Cancer; Attractor; Turbulence; Biology; Cancer stem cell; Cancer cell; Neuroscience; Computational biology; Chaotic; Tumor microenvironment; Systems biology; Bioinformatics; Computer science; Physics; Mechanics; Artificial intelligence; Mathematics; Genetics","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":[0.0002192764,0.0006458405,0.002791631,0.00009061159,0.00006647798,0.00003947725,0.0007753128,0.0004988756,0.0008091527],"category_scores_gemma":[0.0005712002,0.0004566687,0.0005414237,0.0004166984,0.0001085366,0.00004237453,0.0002444206,0.0008526286,0.001341049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495151,"about_ca_system_score_gemma":0.0004617382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005222631,"about_ca_topic_score_gemma":0.000008428698,"domain_scores_codex":[0.9974633,0.000203425,0.0008973047,0.0006703645,0.0002890964,0.0004764851],"domain_scores_gemma":[0.9974759,0.001099154,0.0005649548,0.0005887175,0.0000449709,0.0002263682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002497007,0.0000598455,9.866687e-7,0.07644776,0.0002115546,0.0001165473,0.0001214238,8.99403e-9,1.168003e-7,0.07603108,0.02264658,0.8243616],"study_design_scores_gemma":[0.00008325673,0.0000424265,4.830172e-8,0.01289471,0.0007916468,0.0001975156,0.000003879655,0.000007162522,9.797615e-7,0.0533345,0.932239,0.0004049084],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[7.249793e-7,0.9818567,0.0001201072,0.0001699201,0.0001827732,0.001304793,0.000107459,0.0003305362,0.01592696],"genre_scores_gemma":[6.397287e-7,0.9850469,0.01246737,0.00006995419,0.0003118837,0.0007092188,0.00002020781,0.0001180945,0.001255726],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9095924,"threshold_uncertainty_score":0.9997885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09489801860512302,"score_gpt":0.3908035041793408,"score_spread":0.2959054855742178,"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."}}