{"id":"W2586819274","doi":"10.1038/srep42214","title":"Novel flow cytometry approach to identify bronchial epithelial cells from healthy human airways","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Vancouver Coastal Health Research Institute","keywords":"Flow cytometry; Bronchoalveolar lavage; Cytometry; Population; Cytokeratin; Lung; Pathology; Biology; Respiratory epithelium; Immunology; Epithelium; Medicine; Internal medicine; Immunohistochemistry","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":[0.0007569131,0.0005305302,0.0004163379,0.001580409,0.0004357629,0.0006140259,0.0005181551,0.0009302748,0.001847436],"category_scores_gemma":[0.0005294341,0.0001811433,0.0002648497,0.0004865607,0.0002927319,0.000510634,0.0003985002,0.0009800559,0.0007924006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002934369,"about_ca_system_score_gemma":0.0003586894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004779479,"about_ca_topic_score_gemma":0.0008970795,"domain_scores_codex":[0.999396,0.0001220239,0.00005461727,0.0002002966,0.0001683335,0.00005877846],"domain_scores_gemma":[0.9997297,0.00006916608,0.00003406362,0.00003016816,0.0001116796,0.00002520774],"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":[0.00008308623,0.00008137676,0.00111904,0.0001031396,0.00001010631,0.00004552589,0.00006086665,0.0001087577,0.9790857,0.0003201963,0.0003145627,0.01866753],"study_design_scores_gemma":[0.00005074682,0.0008004901,0.01317332,0.00006152253,0.00008057492,0.001875823,0.0001255551,0.01217077,0.9545643,0.0009332884,0.01610982,0.00005371138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3396758,0.01076895,0.6363086,0.00128879,0.0006531782,0.00158247,0.001635914,0.001723403,0.006362787],"genre_scores_gemma":[0.5269711,0.0053841,0.4555789,0.001016517,0.0003333594,0.001943909,0.002006974,0.00009178257,0.00667333],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001847436,"threshold_uncertainty_score":0.006180346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09000870656933757,"score_gpt":0.4128646921796461,"score_spread":0.3228559856103085,"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."}}