{"id":"W1999544358","doi":"10.1007/s10404-008-0272-x","title":"Controlling microdrop shape and position for biotechnology using micropatterned rings","year":2008,"lang":"en","type":"article","venue":"Microfluidics and Nanofluidics","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"National Institute of General Medical Sciences","keywords":"Drop (telecommunication); Nanotechnology; Microfluidics; Micropatterning; Micrometer; Millimeter; Drug discovery; Materials science; Throughput; Position (finance); Chemistry; Optoelectronics; Biological system; Mechanics; Computer science; Optics; Mechanical engineering; Physics; Engineering","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":[0.0003092845,0.0003682317,0.0004222116,0.0003620404,0.0003952887,0.00004868284,0.0001506072,0.0003871805,0.000008717578],"category_scores_gemma":[0.00002640959,0.000396392,0.00006599558,0.0003868982,0.0003810778,0.0001704249,0.00006746648,0.0002322094,0.000002760273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000118204,"about_ca_system_score_gemma":0.00004114203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001736424,"about_ca_topic_score_gemma":1.286051e-7,"domain_scores_codex":[0.9984123,0.000016583,0.0005513979,0.0004282053,0.0001123724,0.0004791275],"domain_scores_gemma":[0.9993521,0.00005338094,0.00008948181,0.0002327869,0.0002003875,0.00007186242],"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":[0.00004326517,0.00001943932,0.0004927549,0.0001074715,0.00005919511,0.00001234915,0.0001837125,5.19689e-7,0.9879543,0.001573945,0.003696966,0.00585612],"study_design_scores_gemma":[0.001080473,0.0001160034,0.0001612896,0.00006625558,0.00004716319,0.0006202924,0.00004549664,0.003807824,0.9596614,0.000337616,0.03361812,0.0004380498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7074011,0.01729064,0.2741149,0.0001610831,0.0001803706,0.0004204487,0.00008180388,0.0003166367,0.00003303678],"genre_scores_gemma":[0.9821328,0.009763864,0.007140673,0.0005175671,0.0001380345,0.00004014688,0.00009923005,0.0001062506,0.00006141399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2747318,"threshold_uncertainty_score":0.9998488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01798966847471477,"score_gpt":0.2267635555162895,"score_spread":0.2087738870415748,"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."}}