{"id":"W1989240471","doi":"10.1021/ac048240a","title":"Microfluidic Selection and Retention of a Single Cardiac Myocyte, On-Chip Dye Loading, Cell Contraction by Chemical Stimulation, and Quantitative Fluorescent Analysis of Intracellular Calcium","year":2005,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Chemistry; Myocyte; Calcium in biology; Biophysics; Cardiac myocyte; Intracellular; Calcium; Fluorescence; Microfluidic chip; Fluorescence microscope; Contraction (grammar); Cardiac muscle; Microfluidics; Centrifugation; Ionomycin; Cell; Quantitative analysis (chemistry); Nanotechnology; Chromatography; Cell biology; Biochemistry; Anatomy; Materials science; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001115972,0.0001360141,0.0002939971,0.00009563501,0.00004803094,0.00002299446,0.00006336776,0.00008950593,0.0000159982],"category_scores_gemma":[0.0003011464,0.0001348585,0.00009632284,0.0006060558,0.0001626472,0.0001360061,0.00002424089,0.0001595893,7.920998e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005174994,"about_ca_system_score_gemma":0.00001325019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001125436,"about_ca_topic_score_gemma":1.86057e-7,"domain_scores_codex":[0.9988347,0.00002992295,0.0003137905,0.0003950076,0.0002472226,0.0001793571],"domain_scores_gemma":[0.9993759,0.0002264003,0.0001296415,0.0001104724,0.00005293114,0.0001046374],"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":[0.00005587098,0.000146576,0.0005390702,0.00005233939,0.00002406829,9.628897e-7,0.00002726099,0.000221845,0.9986555,0.00005477418,0.00008704209,0.0001346654],"study_design_scores_gemma":[0.0001977746,0.00007089382,0.0005134165,0.00001517889,0.0002516616,0.000002289878,0.00001384739,0.0929199,0.9058076,0.000006084941,0.00009578376,0.0001056242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986989,0.0002682573,0.0006992194,0.00007069534,0.00002087786,0.00007527851,0.000023163,0.00001984629,0.0001237653],"genre_scores_gemma":[0.99962,0.0001844857,0.0000497744,0.00002857113,0.00002213755,0.000002123009,0.00000929464,0.000008858324,0.00007480026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09284798,"threshold_uncertainty_score":0.5499371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489601348838082,"score_gpt":0.2641306773635735,"score_spread":0.2392346638751927,"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."}}