{"id":"W2905539579","doi":"10.1038/s41598-018-36000-3","title":"Measuring Single-Cell Phenotypic Growth Heterogeneity Using a Microfluidic Cell Volume Sensor","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phenotype; Biology; Cell; Saccharomyces cerevisiae; Phenotypic screening; Single-cell analysis; Population; Gene expression; Cell growth; Cell biology; Gene; Genetics","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":[0.0004523782,0.0004470788,0.0005423297,0.0004742174,0.0002332141,0.0004540047,0.0007254899,0.0005261771,0.0003363456],"category_scores_gemma":[0.000578464,0.0002188524,0.0002683434,0.000328976,0.0002681564,0.0003927432,0.0003682704,0.0004287451,0.0001362637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006385883,"about_ca_system_score_gemma":0.000327934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006272347,"about_ca_topic_score_gemma":0.0009023907,"domain_scores_codex":[0.9995046,0.00004497598,0.00002549359,0.0001614336,0.0002057915,0.00005776269],"domain_scores_gemma":[0.9995895,0.0001822252,0.00008288499,0.00003227645,0.00007521444,0.00003791922],"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":[0.00002903587,0.00002139113,0.0005235538,0.00002073715,0.000006516826,0.00001545534,0.00002267557,0.0006308173,0.9959389,0.000112255,0.00003878923,0.002639707],"study_design_scores_gemma":[0.000008029513,0.0001372237,0.002699178,0.000003227278,0.00001467301,0.00007703897,0.0000223065,0.02670925,0.9694615,0.0001113893,0.0007318701,0.0000243991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8751079,0.0007120467,0.1213325,0.0001408112,0.00007786428,0.0001163587,0.0008162967,0.0005261393,0.00117017],"genre_scores_gemma":[0.9079429,0.0004689187,0.08981489,0.00011325,0.00003188361,0.0002694575,0.0004692001,0.0000458233,0.000843603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007254899,"threshold_uncertainty_score":0.004633307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02954372671797503,"score_gpt":0.2266372753971041,"score_spread":0.1970935486791291,"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."}}