{"id":"W2899097107","doi":"10.1109/jsen.2018.2878484","title":"Disposable Off-Chip Micro-Dispenser for Accurate Droplet Transportation","year":2018,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Research and Development Corporation of Newfoundland and Labrador; Canada Foundation for Innovation","keywords":"Chip; Actuator; Mechanical engineering; Pipette; Thermoelectric cooling; Microfluidics; Materials science; Computer science; Engineering; Thermoelectric effect; Electrical engineering; Nanotechnology","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":[0.0002931978,0.0006689752,0.0006037125,0.000555445,0.0002511985,0.0004131469,0.001466917,0.0007101505,0.003767046],"category_scores_gemma":[0.0005273341,0.0003560677,0.0003936048,0.0003230039,0.0002635942,0.00066067,0.0005273998,0.000570599,0.002349271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002704647,"about_ca_system_score_gemma":0.0003419495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002212836,"about_ca_topic_score_gemma":0.0005220685,"domain_scores_codex":[0.999505,0.00002597511,0.00003144554,0.0001061638,0.0003043817,0.00002690495],"domain_scores_gemma":[0.999696,0.00007693186,0.00006034537,0.00007333011,0.00007050017,0.0000229255],"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":[0.00003951749,0.00005657296,0.0001313256,0.0002339061,0.00000839082,0.0001444469,0.00002059009,0.0004108492,0.9588757,0.0007203881,0.001161312,0.038197],"study_design_scores_gemma":[0.00003050938,0.0002690342,0.001103969,0.00001528567,0.00003033284,0.0008879674,0.00001206913,0.01282339,0.9570462,0.0002665389,0.02747816,0.00003664572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09738181,0.00396804,0.8813601,0.0002984813,0.0007270797,0.0008147764,0.0008548084,0.005656163,0.008938794],"genre_scores_gemma":[0.270822,0.001674302,0.7159047,0.0004049795,0.0001717941,0.0005205786,0.0008327458,0.0002535247,0.00941532],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003767046,"threshold_uncertainty_score":0.01260203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134188917646476,"score_gpt":0.23371167756519,"score_spread":0.2223697883887253,"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."}}