{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007848017,0.0006451867,0.0005980685,0.0008975292,0.0005753088,0.001496291,0.0006042531,0.0003516486,0.002012332],"category_scores_gemma":[0.001524174,0.0002906421,0.001204123,0.0007889983,0.0004052702,0.0005409417,0.0009737168,0.0007928571,0.0005821918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007456768,"about_ca_system_score_gemma":0.001395664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00506814,"about_ca_topic_score_gemma":0.007964244,"domain_scores_codex":[0.9996976,0.00007558586,0.00001932664,0.0000770652,0.00009925024,0.00003121249],"domain_scores_gemma":[0.9996413,0.0001186725,0.00003260759,0.00007340447,0.0001069335,0.00002711175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006001975,0.0002649696,0.01370676,0.0004561675,0.0003052741,0.0004012318,0.0005272079,0.5527168,0.2147202,0.0389574,0.006631895,0.1707119],"study_design_scores_gemma":[0.000009581587,0.00002597922,0.001660794,0.000006227797,0.00001072909,0.00002503324,0.00004854825,0.9737161,0.01341856,0.008540611,0.002522529,0.00001541261],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06103752,0.0001881451,0.9308842,0.0002949751,0.00004928052,0.00006324842,0.001586084,0.004616127,0.001280373],"genre_scores_gemma":[0.3399537,0.0003464806,0.6544285,0.0001129246,0.00003250946,0.0003405388,0.00302305,0.0006393109,0.001122942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00506814,"threshold_uncertainty_score":0.0100773,"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."}}