{"id":"W4319596275","doi":"10.1038/s41467-023-36122-x","title":"Parallelized multidimensional analytic framework applied to mammary epithelial cells uncovers regulatory principles in EMT","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre; University of Toronto; Western University; University of Manitoba","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; National Institutes of Health; National Cancer Institute; National Heart, Lung, and Blood Institute; Division of Cancer Prevention, National Cancer Institute","keywords":"Computational biology; Computer science; Biology; Cell biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004076642,0.0001595442,0.0003269335,0.0003585978,0.0001276672,0.00001460596,0.0004869142,0.0002551534,0.00004776533],"category_scores_gemma":[0.0001936953,0.0001502889,0.0001246062,0.001271037,0.00007520097,0.00004027074,0.0004719269,0.001037716,0.000187082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000177772,"about_ca_system_score_gemma":0.0002478081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004302556,"about_ca_topic_score_gemma":0.0003619068,"domain_scores_codex":[0.998711,0.00007503184,0.0003254887,0.0002947841,0.0003230327,0.0002706761],"domain_scores_gemma":[0.9970971,0.0004377032,0.0000758202,0.002116918,0.00009128407,0.0001811622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00205313,0.002546553,0.02310788,0.0004743597,0.001158945,0.0002270791,0.006362547,0.01652347,0.2774839,0.4902544,0.137533,0.04227475],"study_design_scores_gemma":[0.002436826,0.00006661522,0.1106552,0.0002434058,0.0001601467,0.000009313296,0.0003741204,0.001407514,0.009406777,0.001253832,0.8735726,0.0004135846],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9034125,0.008581922,0.001388272,0.05812246,0.001575115,0.004174579,0.0003351444,0.0009059426,0.02150412],"genre_scores_gemma":[0.9278398,0.001442191,0.06688546,0.002390922,0.0000721664,0.0001256669,0.0001920225,0.0000288927,0.001022939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7360396,"threshold_uncertainty_score":0.6128602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03304318251667474,"score_gpt":0.3256438569968065,"score_spread":0.2926006744801318,"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."}}