{"id":"W2070762299","doi":"10.1038/nmeth.1614","title":"High-throughput analysis of single hematopoietic stem cell proliferation in microfluidic cell culture arrays","year":2011,"lang":"en","type":"article","venue":"Nature Methods","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":335,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Cell biology; Haematopoiesis; Biology; Stem cell; Microfluidics; Cell; Cell culture; In vitro; Single-cell analysis; In vivo; Transplantation; Immunostaining; Regenerative medicine; Computational biology; Immunology; Nanotechnology; Genetics; Materials science","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":[0.0002602517,0.0002536057,0.0003750144,0.0003937732,0.0002677413,0.0005552184,0.0003481129,0.0004133852,0.000878609],"category_scores_gemma":[0.0002657799,0.0002524668,0.0002575346,0.0003773059,0.0001700375,0.0002988976,0.0002053544,0.0004337589,0.0003516754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005091288,"about_ca_system_score_gemma":0.000256191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008482557,"about_ca_topic_score_gemma":0.001732903,"domain_scores_codex":[0.999701,0.00002684113,0.00001712741,0.00007098506,0.0001409265,0.00004298036],"domain_scores_gemma":[0.9997318,0.0001630652,0.00002590957,0.00002348361,0.00003524196,0.00002049997],"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":[0.00004878591,0.0000248492,0.000227231,0.00002051721,0.00000493749,0.00001117117,0.00001715363,0.0003910966,0.9966604,0.0001019379,0.00008520521,0.002406645],"study_design_scores_gemma":[0.000008321373,0.00005367225,0.002155403,0.00000154265,0.000007053184,0.00001840853,0.00001229132,0.0092453,0.9878433,0.00007224237,0.0005761368,0.000006338807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128205,0.001571152,0.07910568,0.0002387939,0.000109762,0.0001190095,0.001898478,0.0006949601,0.003441728],"genre_scores_gemma":[0.9068204,0.001350446,0.08512177,0.0001928914,0.00009235308,0.0004201244,0.001136384,0.0001043662,0.004761361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000878609,"threshold_uncertainty_score":0.003693998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02936787203461681,"score_gpt":0.319759139699721,"score_spread":0.2903912676651041,"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."}}