{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000915616,0.0001300618,0.0001917141,0.0001597331,0.0003425,0.00008748616,0.000150722,0.00008232382,0.000006289993],"category_scores_gemma":[0.00003973419,0.0001227511,0.00008590201,0.0001173567,0.00004493509,0.0001177539,0.000005462269,0.0001048517,0.000001560343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001724556,"about_ca_system_score_gemma":0.000005551451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008480449,"about_ca_topic_score_gemma":0.0001509075,"domain_scores_codex":[0.999404,0.000004667177,0.0001570158,0.000177585,0.00004388326,0.0002128199],"domain_scores_gemma":[0.9996164,0.00004071409,0.00004664075,0.0002431694,0.00002492503,0.00002816637],"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":[0.000006586989,0.00001018027,0.01502663,0.00002957212,0.0003250375,0.000002560741,0.0001491621,0.00005604378,0.962518,0.0002623294,0.002579782,0.01903406],"study_design_scores_gemma":[0.0005993994,0.00005098166,0.1502158,0.00001440245,0.0007374434,0.00001407979,0.00003183791,0.00406065,0.8050738,0.00100266,0.03776114,0.0004377868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714739,0.00215092,0.02506951,0.0005083116,0.00008116945,0.00009720084,0.0000261964,0.0004854669,0.0001072881],"genre_scores_gemma":[0.9973613,0.0003530498,0.001945518,0.00001559077,0.00005958565,0.00002412061,0.00003587111,0.00002230486,0.0001826414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1574443,"threshold_uncertainty_score":0.5005646,"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."}}