{"id":"W2299231398","doi":"10.1016/j.celrep.2016.02.078","title":"Signaling Networks among Stem Cell Precursors, Transit-Amplifying Progenitors, and their Niche in Developing Hair Follicles","year":2016,"lang":"en","type":"article","venue":"Cell Reports","topic":"Hair Growth and Disorders","field":"Medicine","cited_by":202,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of General Medical Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Fondation pour la Recherche Médicale; Icahn School of Medicine at Mount Sinai; New York State Department of Health; Irma T. Hirschl Trust; National Cancer Institute; National Institutes of Health","keywords":"Cell biology; Hair follicle; Biology; Crosstalk; Niche; Morphogenesis; Stem cell; Progenitor cell; Progenitor; Signal transduction; Cell fate determination; Transcriptome; Cell signaling; Transcription factor; Genetics; Gene; Gene expression; Biochemistry","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":[0.0001404572,0.0001338124,0.0002849357,0.0008044162,0.0002698234,0.0004197823,0.0001382538,0.0001331586,0.0007511603],"category_scores_gemma":[0.0001214988,0.000168878,0.0002194778,0.000727279,0.0001485787,0.0003813537,0.000252434,0.000164219,0.0002369755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002002321,"about_ca_system_score_gemma":0.0002797996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076106,"about_ca_topic_score_gemma":0.001703122,"domain_scores_codex":[0.999881,0.00001294287,0.00000811218,0.00004197242,0.00003692224,0.00001901171],"domain_scores_gemma":[0.9999043,0.00002002696,0.00003883668,0.000005917682,0.00001115862,0.00001966796],"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":[0.0002569678,0.00002454733,0.01664882,0.0001995974,0.00003199027,0.0001697404,0.0001848825,0.0008263223,0.9629157,0.0004283783,0.0001990952,0.01811387],"study_design_scores_gemma":[0.00002816703,0.0003379011,0.6318291,0.00007061136,0.0003318313,0.001039034,0.001028793,0.01208815,0.3387815,0.001980402,0.01242982,0.00005478902],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879656,0.002652418,0.004801114,0.00005052038,0.00000398457,0.00001933821,0.003075846,0.0002134445,0.001217572],"genre_scores_gemma":[0.981932,0.002877831,0.008508896,0.00005621825,0.000007872017,0.00004523713,0.005291084,0.00003440852,0.001246394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001076106,"threshold_uncertainty_score":0.002512932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381970024213913,"score_gpt":0.2166863574154626,"score_spread":0.2028666571733235,"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."}}