{"id":"W2772734918","doi":"10.3390/mi8120353","title":"Electrical Tweezer for Droplet Transportation, Extraction, Merging and DNA Analysis","year":2017,"lang":"en","type":"article","venue":"Micromachines","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Joseph’s Healthcare Hamilton; McMaster University","funders":"","keywords":"Microfluidics; Oil droplet; Nanotechnology; Electrowetting; Aqueous solution; Aqueous two-phase system; Electric field; Chemistry; Materials science; Merge (version control); Chemical physics; Optoelectronics; Emulsion; 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":[0.0007708652,0.0007625152,0.0005275373,0.0009612582,0.0004380972,0.0004126331,0.0007697209,0.00086055,0.004172873],"category_scores_gemma":[0.0008027939,0.0003961981,0.0003411612,0.0007969418,0.0003348901,0.0007644927,0.0006499652,0.001177425,0.002929465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005773195,"about_ca_system_score_gemma":0.0003363942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003328574,"about_ca_topic_score_gemma":0.0006436979,"domain_scores_codex":[0.9991686,0.0001043186,0.00007277949,0.0002236906,0.000381134,0.00004948649],"domain_scores_gemma":[0.9996734,0.0001183648,0.00006260856,0.00005567331,0.00006892218,0.00002117207],"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":[0.00003279206,0.00002301698,0.00007057255,0.0002493039,0.000009582313,0.00007368244,0.0000439411,0.0001535593,0.964907,0.00125641,0.001455332,0.03172483],"study_design_scores_gemma":[0.00002456809,0.0001622423,0.0005256467,0.00003094767,0.00002004655,0.0004555707,0.00001365193,0.004977632,0.9206795,0.0005332903,0.07253905,0.00003779447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06432291,0.02486577,0.8802664,0.001200586,0.001240203,0.00140874,0.001623716,0.009147247,0.01592447],"genre_scores_gemma":[0.2007562,0.009449346,0.7574723,0.0004494631,0.000183728,0.001854614,0.001527894,0.0004749391,0.02783145],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004172873,"threshold_uncertainty_score":0.01395959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006059808676860375,"score_gpt":0.2487626458933529,"score_spread":0.2427028372164926,"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."}}