{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001108678,0.0007401751,0.0004970207,0.0005796471,0.0005173413,0.0009743311,0.0015598,0.0007145848,0.007031491],"category_scores_gemma":[0.0009181139,0.0006454336,0.0006658968,0.0003467855,0.0005083348,0.0006622353,0.001039244,0.0009889822,0.002811443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004573445,"about_ca_system_score_gemma":0.0004801182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003628249,"about_ca_topic_score_gemma":0.001372061,"domain_scores_codex":[0.9990348,0.0001187678,0.0001005712,0.0002101622,0.0004577586,0.00007806145],"domain_scores_gemma":[0.9991742,0.0002609641,0.00009279043,0.0002782172,0.0001196885,0.00007408326],"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":[0.00008798204,0.00008729569,0.0003510566,0.0003558806,0.00002207124,0.0001163427,0.00008928117,0.001055533,0.9510189,0.01086942,0.004084683,0.03186144],"study_design_scores_gemma":[0.00004103801,0.0001850497,0.001164057,0.00004029872,0.00003006451,0.0006698192,0.00002655158,0.01024317,0.9011715,0.00174941,0.08462056,0.0000585632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04539665,0.003609254,0.9276078,0.0005904085,0.001109032,0.000745423,0.003136852,0.004558973,0.01324566],"genre_scores_gemma":[0.1558858,0.002831072,0.822339,0.000367716,0.000106805,0.001564312,0.002707029,0.0003770529,0.01382126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007031491,"threshold_uncertainty_score":0.02352273,"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."}}