{"id":"W2121531466","doi":"10.1017/s1431927610053614","title":"Digital Microfluidics for Cell-Based Screening","year":2010,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microfluidics; Microanalysis; Nanotechnology; Microscopy; Materials science; Chemistry; Optics; Physics","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":[0.0003890889,0.0003419628,0.0003076017,0.0005091696,0.0002822264,0.0006685994,0.0008670382,0.0004268133,0.01383624],"category_scores_gemma":[0.0006620036,0.0002161604,0.0002306725,0.0003552476,0.0003560572,0.0006950927,0.0006436488,0.0004397572,0.002220673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007697949,"about_ca_system_score_gemma":0.0003677094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004343509,"about_ca_topic_score_gemma":0.001143982,"domain_scores_codex":[0.9997244,0.00002806812,0.00002006135,0.00005267146,0.0001476781,0.00002708821],"domain_scores_gemma":[0.9998003,0.00008639388,0.00002211992,0.00003039521,0.00004345964,0.00001733215],"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":[0.0003491569,0.0001223071,0.0004477602,0.000902411,0.00003620701,0.0002005537,0.00006615804,0.002197842,0.7978967,0.01660332,0.03517699,0.1460005],"study_design_scores_gemma":[0.000126041,0.0003304779,0.001224764,0.00009066448,0.00006232467,0.0005381063,0.00002909258,0.03793129,0.7532317,0.004708771,0.2016559,0.00007086964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1893943,0.09224287,0.5586122,0.01101355,0.01740155,0.001584591,0.01191113,0.0128903,0.1049496],"genre_scores_gemma":[0.6083041,0.02543381,0.2880736,0.003150667,0.001205848,0.001105049,0.002788479,0.0002342175,0.06970416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01383624,"threshold_uncertainty_score":0.04628682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005018573909505582,"score_gpt":0.2145205110901664,"score_spread":0.2095019371806608,"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."}}