{"id":"W2017183384","doi":"10.1089/ten.2006.12.657","title":"Functional Characterization of Embryonic Stem Cell-Derived Cardiomyocytes Using Scanning Ion Conductance Microscopy","year":2006,"lang":"en","type":"article","venue":"Tissue Engineering","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's Health Research Institute","funders":"Biotechnology and Biological Sciences Research Council; British Heart Foundation","keywords":"Embryonic stem cell; Conductance; Scanning ion-conductance microscopy; Contraction (grammar); Biophysics; Biomedical engineering; Microscopy; Chemistry; Materials science; Physics; Biology; Engineering; Optics; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003190053,0.0002861357,0.0002149041,0.0003436507,0.0001458539,0.0003106804,0.0002626484,0.0003759011,0.0004752725],"category_scores_gemma":[0.0003651464,0.00009879711,0.0001407287,0.000141357,0.0002727656,0.0003531986,0.0001939853,0.0003004863,0.0002362248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001458801,"about_ca_system_score_gemma":0.0001180002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003629705,"about_ca_topic_score_gemma":0.0003650934,"domain_scores_codex":[0.999848,0.0000216529,0.00001417634,0.00003098855,0.00006764528,0.00001747609],"domain_scores_gemma":[0.9997956,0.00005468457,0.00003309396,0.00002683138,0.00006128272,0.00002854533],"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":[0.00000721058,0.000001955154,0.0001523682,0.00001275482,0.000001068668,0.00001960112,0.00001090755,0.00004718523,0.9987381,0.000053239,0.000009928324,0.000945546],"study_design_scores_gemma":[0.000003942314,0.0000853783,0.006201614,0.000004974335,0.000008033091,0.0002334639,0.00004094324,0.004127724,0.9877628,0.0001834928,0.001339721,0.000007929599],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.89952,0.002263636,0.09408804,0.0002791191,0.00007728241,0.00009239953,0.0005932027,0.0003273103,0.002758929],"genre_scores_gemma":[0.9622197,0.001161239,0.03465329,0.000109703,0.00001999278,0.00006302775,0.000380677,0.00005623259,0.001336183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004752725,"threshold_uncertainty_score":0.00168705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008624890700845843,"score_gpt":0.2086365359604392,"score_spread":0.2000116452595934,"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."}}