{"id":"W4387338756","doi":"10.1016/j.celrep.2023.113191","title":"Spatiotemporal modeling of chemoresistance evolution in breast tumors uncovers dependencies on SLC38A7 and SLC46A1","year":2023,"lang":"en","type":"article","venue":"Cell Reports","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Ottawa","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Fondation du cancer du sein du Québec; Canada Foundation for Innovation; Compute Canada; McGill University; Terry Fox Research Institute; University of Ottawa","keywords":"Breast cancer; Cancer cell; Cancer research; Chemotherapy; Drug resistance; Intracellular; Cancer; Biology; Drug; Medicine; Pharmacology; Internal medicine; Cell biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007434767,0.0001529341,0.0003359469,0.0001652901,0.00003715438,0.000008428966,0.00007000233,0.0000916293,0.00001870446],"category_scores_gemma":[0.0004863332,0.000136944,0.00005210329,0.0002911719,0.00007928009,0.00006636941,0.00006532187,0.0001388216,0.000007815111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008565282,"about_ca_system_score_gemma":0.0000673921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007564043,"about_ca_topic_score_gemma":0.00004905993,"domain_scores_codex":[0.9985123,0.00004148854,0.0006109155,0.0003148784,0.0002791412,0.0002413342],"domain_scores_gemma":[0.9990231,0.0002233982,0.000295764,0.0003398169,0.0000571005,0.00006082566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007110551,0.001957435,0.7206354,0.01136273,0.0001433903,0.008399847,0.006160945,0.008451833,0.06077573,0.1734153,0.007170832,0.0008155874],"study_design_scores_gemma":[0.0007054468,0.0001220428,0.0252511,0.0007971492,0.00004636861,0.0005064682,0.001151415,0.05208195,0.02670772,0.8920515,0.00001193405,0.0005668764],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917799,0.00003236629,0.0006850305,0.00009116528,0.00006716526,0.0002117828,0.000005503236,0.0000858049,0.007041286],"genre_scores_gemma":[0.9983124,0.000007582505,0.001245329,0.000009661479,0.00001713715,0.00001427034,0.000007844845,0.00002083995,0.0003649078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7186362,"threshold_uncertainty_score":0.5584413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513851503540093,"score_gpt":0.2594561718533095,"score_spread":0.2343176568179086,"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."}}