{"id":"W2266844497","doi":"10.1038/ncomms8513","title":"Digital microfluidic immunocytochemistry in single cells","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Ontario Research Foundation","keywords":"Immunocytochemistry; Cell biology; Population; Phosphorylation; Platelet-derived growth factor receptor; Stimulus (psychology); Stimulation; Platelet-derived growth factor; Microfluidics; Protein kinase B; Chemistry; Biology; Growth factor; Neuroscience; Materials science; Receptor; Nanotechnology; Medicine; Biochemistry; Endocrinology","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":[0.000431941,0.0002881888,0.0003296178,0.0003280712,0.0002401345,0.0004868906,0.0007744188,0.0004739828,0.001139508],"category_scores_gemma":[0.0004048842,0.0003151553,0.0002770995,0.0001718116,0.0004228218,0.0004201715,0.0005849442,0.0005963776,0.0005412736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004777386,"about_ca_system_score_gemma":0.0003190776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004854283,"about_ca_topic_score_gemma":0.0009769162,"domain_scores_codex":[0.9996195,0.00003485503,0.00003240956,0.0001191792,0.0001526862,0.00004143352],"domain_scores_gemma":[0.9997385,0.00009288206,0.00004321972,0.00006006658,0.00004070825,0.00002450875],"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":[0.00003139891,0.00001602136,0.0002062675,0.0001399518,0.000008956733,0.00006759752,0.00003078899,0.0003966404,0.9843472,0.00238312,0.0006902213,0.0116818],"study_design_scores_gemma":[0.00002541682,0.0001305126,0.0007797844,0.00001719939,0.00001955505,0.0003587808,0.00001637592,0.008626507,0.9620041,0.0009945086,0.0270058,0.0000214288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.299619,0.009303825,0.6678901,0.001953296,0.00213729,0.0003972656,0.001424918,0.002827933,0.01444631],"genre_scores_gemma":[0.4638662,0.004872899,0.5210771,0.0008688029,0.0003767006,0.0005269411,0.0005846517,0.000115536,0.007711128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001139508,"threshold_uncertainty_score":0.003812075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02391327836530854,"score_gpt":0.2398936275008438,"score_spread":0.2159803491355352,"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."}}