{"id":"W2127237813","doi":"10.1039/c2lc21004e","title":"Virtual microwells for digital microfluidic reagent dispensing and cell culture","year":2011,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Reagent; Microfluidics; Nanotechnology; Materials science; Chemistry; Chromatography; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005152368,0.0001786764,0.0001462473,0.0000594361,0.00006540109,0.00005065036,0.000117692,0.0001272179,0.000006097169],"category_scores_gemma":[0.00002338677,0.0001571213,0.00005118124,0.00007198018,0.00005049138,0.00007005649,0.00003288013,0.0001652217,0.00002959293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002783541,"about_ca_system_score_gemma":0.000006322997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003935285,"about_ca_topic_score_gemma":0.000001152707,"domain_scores_codex":[0.9993057,0.000005028922,0.0001367545,0.0002065255,0.00004772863,0.0002983019],"domain_scores_gemma":[0.9996995,0.0000273038,0.00002193501,0.0001890506,0.00001510651,0.00004710689],"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":[0.00002472749,0.00003417002,0.0001620501,0.00004736658,0.00002296576,0.000005864171,0.001135399,3.968239e-7,0.9511396,0.0005740381,0.0285003,0.0183531],"study_design_scores_gemma":[0.0003743138,0.0002227104,0.0001629893,0.00004928205,0.0000142898,0.00001530087,0.0002335956,0.00001044258,0.9568254,0.0003576056,0.04152083,0.0002132328],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866351,0.005194237,0.00160955,0.0000371187,0.0001657106,0.0002103029,0.00004028023,0.0007336574,0.005373987],"genre_scores_gemma":[0.9970978,0.0008978106,0.000788127,0.00009034835,0.00004450027,0.000009555031,0.000015034,0.00004245678,0.001014311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01813987,"threshold_uncertainty_score":0.6407221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101524321236271,"score_gpt":0.1858054756214023,"score_spread":0.1747902324090396,"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."}}