{"id":"W4327893426","doi":"10.1039/d3lc90031b","title":"Correction: Virtual microwells for digital microfluidic reagent dispensing and cell culture","year":2023,"lang":"en","type":"erratum","venue":"Lab on a Chip","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microfluidics; Nanotechnology; Computer science; Materials science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009165061,0.0005093674,0.0004532497,0.0002082299,0.0001579107,0.0002312768,0.0002384477,0.000813102,0.000005358966],"category_scores_gemma":[0.0001142223,0.0004860358,0.0001585575,0.0002380579,0.00007887607,0.00006808243,0.00008625924,0.001144192,0.000109887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001428863,"about_ca_system_score_gemma":0.00004493787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007430859,"about_ca_topic_score_gemma":0.000008260569,"domain_scores_codex":[0.9984753,0.00001196609,0.0003013667,0.0005227772,0.0001408077,0.0005477978],"domain_scores_gemma":[0.9993117,0.0001147232,0.0000775918,0.0003796014,0.00004176517,0.00007462065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001516312,0.00001766609,0.000004307344,0.0002281957,0.00006175464,0.00001473449,0.0002214069,0.000002467026,0.06711592,0.00002451256,0.9197197,0.0125742],"study_design_scores_gemma":[0.0003223834,0.0002606545,0.00001672241,0.0005617517,0.0000535984,0.00003416255,0.00020876,0.00005948299,0.1393445,0.00008144511,0.8585396,0.0005168606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.1054153,0.2764547,0.006209192,0.001942354,0.3767872,0.005950089,0.004174775,0.03587973,0.1871866],"genre_scores_gemma":[0.02564911,0.03381188,0.0001547799,0.0002379711,0.002391586,0.00008948839,0.001703809,0.0005233492,0.935438],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7482514,"threshold_uncertainty_score":0.9997591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00760874081217206,"score_gpt":0.2043570584711003,"score_spread":0.1967483176589283,"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."}}