{"id":"W2966771699","doi":"10.1242/dmm.038083","title":"Modelling the MYC-driven normal-to-tumour switch in breast cancer","year":2019,"lang":"en","type":"article","venue":"Disease Models & Mechanisms","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Terry Fox Research Institute; Canadian Cancer Society","keywords":"Breast cancer; Cancer research; Oncology; Internal medicine; Biology; Cancer; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004944479,0.0003572748,0.0004706006,0.0001352902,0.000100604,0.00005023869,0.0006738078,0.0001087969,0.0005751384],"category_scores_gemma":[0.00003608554,0.0002506462,0.0001721778,0.0002987046,0.00003312249,0.0002054237,0.0002650194,0.0003128402,0.0003804475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001203229,"about_ca_system_score_gemma":0.000127511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001238855,"about_ca_topic_score_gemma":0.00002092672,"domain_scores_codex":[0.9976455,0.0001275469,0.0005030946,0.000575987,0.0004782446,0.0006696312],"domain_scores_gemma":[0.9983544,0.0002441113,0.0001320575,0.0007899801,0.0001043582,0.0003750429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001509351,0.0002478919,0.0001937405,0.000213367,0.00003651327,0.00002722346,0.0008481592,0.1868213,0.001799486,0.8093779,0.000211091,0.00007232258],"study_design_scores_gemma":[0.0002660349,0.00001190924,0.00003898739,0.0001147226,0.0000400709,0.000004494573,0.00008866553,0.5083362,0.0002197611,0.4906763,0.000004547085,0.0001982526],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6265665,0.00004858933,0.3680593,0.002456616,0.0001799735,0.001214218,0.0001675901,0.0001370063,0.001170218],"genre_scores_gemma":[0.9885014,0.00001614269,0.009657267,0.0008814543,0.00006643173,0.0003684141,0.000009363092,0.0000775809,0.0004219155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.361935,"threshold_uncertainty_score":0.9999946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03438635863088787,"score_gpt":0.2767149171682187,"score_spread":0.2423285585373308,"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."}}