{"id":"W2809422028","doi":"10.1083/jcb.201804042","title":"Mammary molecular portraits reveal lineage-specific features and progenitor cell vulnerabilities","year":2018,"lang":"en","type":"article","venue":"The Journal of Cell Biology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto; Ontario Institute for Cancer Research; Princess Margaret Cancer Centre","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Cure Brain Cancer Foundation; National Institute of General Medical Sciences; Terry Fox Research Institute; National Human Genome Research Institute; Canadian Cancer Society","keywords":"Biology; Progenitor cell; Stem cell; Chromatin; Transcription factor; Epigenetics; Transcriptome; Computational biology; Progenitor; Cell; Cellular differentiation; Proteomics; Cell biology; Genetics; DNA; Gene; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001295404,0.0001763966,0.0002283782,0.0004755816,0.0001467269,0.0003875827,0.0001841475,0.0002005354,0.001383946],"category_scores_gemma":[0.0002324039,0.0001484588,0.000280126,0.0004997503,0.000155927,0.0003716114,0.000312575,0.0002200847,0.000279311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002183484,"about_ca_system_score_gemma":0.0001427492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008058213,"about_ca_topic_score_gemma":0.00142679,"domain_scores_codex":[0.9999523,0.000005305737,0.000002300645,0.00001743443,0.00001375307,0.000008993949],"domain_scores_gemma":[0.9999378,0.00001491309,0.00001437078,0.00001527636,0.00001038803,0.000007201988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000226766,0.00002943892,0.03983669,0.0001808216,0.00009842788,0.0003154643,0.0002072418,0.02467323,0.8871755,0.005710619,0.0007352115,0.04081057],"study_design_scores_gemma":[0.00002386036,0.0002169607,0.238563,0.00003694408,0.0003169147,0.001643205,0.0005292463,0.3483655,0.3614773,0.02582772,0.02294514,0.00005403029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9406728,0.001143607,0.05069076,0.0001963149,0.000007545822,0.00001758466,0.002759945,0.0005611487,0.003950194],"genre_scores_gemma":[0.9757516,0.0009832359,0.01919718,0.00005683567,0.000006565736,0.00001779302,0.002735865,0.00009679955,0.001154088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001383946,"threshold_uncertainty_score":0.004629791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008308970425378035,"score_gpt":0.2415546438481815,"score_spread":0.2332456734228035,"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."}}