{"id":"W2490379935","doi":"10.1016/j.ceb.2016.07.004","title":"Live imaging of stem cells: answering old questions and raising new ones","year":2016,"lang":"en","type":"review","venue":"Current Opinion in Cell Biology","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Edward Mallinckrodt, Jr. Foundation; Canadian Institutes of Health Research; New York Stem Cell Foundation","keywords":"Biology; Stem cell; Neuroscience; Stem cell niche; Live cell imaging; Niche; Cell biology; Cognitive science; Progenitor cell; Cell; Ecology; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00310315,0.001531187,0.002568049,0.002344762,0.0004847781,0.002603139,0.003041825,0.003970242,0.003320412],"category_scores_gemma":[0.002236803,0.0006245048,0.0007308578,0.002210563,0.004097341,0.005946622,0.001654379,0.004823625,0.002350146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001776245,"about_ca_system_score_gemma":0.001647227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002213725,"about_ca_topic_score_gemma":0.003358651,"domain_scores_codex":[0.9992619,0.0001524775,0.00005404619,0.000144037,0.0003012092,0.00008617305],"domain_scores_gemma":[0.9976534,0.001331659,0.0001781048,0.00007924064,0.0005607672,0.0001967684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009913514,0.00006924195,0.0003012033,0.01675243,0.00006368825,0.0002238295,0.0001761193,0.0003914507,0.01021072,0.01907512,0.05899274,0.8936442],"study_design_scores_gemma":[0.00001910118,0.00008154909,0.0006169986,0.003294079,0.00008485864,0.001607945,0.0002144684,0.0003835985,0.003814137,0.011632,0.9781918,0.00005956719],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006706435,0.9967339,0.0007769318,0.001301046,0.000352298,0.000004094628,0.00001193773,0.00001481046,0.0007380273],"genre_scores_gemma":[0.0009725242,0.9960743,0.0009500958,0.0007618997,0.0006358899,0.000009329517,0.00002485803,0.000005314176,0.0005657707],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003970242,"threshold_uncertainty_score":0.01641124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1297259767041984,"score_gpt":0.4099698601620371,"score_spread":0.2802438834578388,"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."}}