{"id":"W3089194368","doi":"10.3390/mi11090880","title":"Low-Cost Graphene-Based Digital Microfluidic System","year":2020,"lang":"en","type":"article","venue":"Micromachines","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Materials science; Microfabrication; Fabrication; Electrode; Nanotechnology; Digital microfluidics; Electrowetting; Biochip; Graphene; Lab-on-a-chip; Optoelectronics; Chemistry","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":[0.0001862986,0.0004534472,0.0003469925,0.0008309654,0.000365635,0.000397523,0.001459069,0.0006565906,0.004124159],"category_scores_gemma":[0.0002503082,0.0001883043,0.0002459346,0.0004053788,0.0001995009,0.0007402573,0.0007978574,0.0003109367,0.001496846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005436694,"about_ca_system_score_gemma":0.0004017688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000628959,"about_ca_topic_score_gemma":0.001003514,"domain_scores_codex":[0.9996873,0.0000204235,0.00001836448,0.0000819169,0.0001592807,0.00003267036],"domain_scores_gemma":[0.9998866,0.00001596424,0.00002214603,0.00002873166,0.00002711424,0.00001943918],"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":[0.0002234895,0.0001528733,0.0008578798,0.0005376313,0.00004784203,0.0003793724,0.00004802887,0.002574523,0.8444892,0.005612975,0.009985819,0.1350905],"study_design_scores_gemma":[0.0001133229,0.0007284639,0.003619109,0.00008151553,0.0001344857,0.001602812,0.00004647092,0.05395246,0.8007081,0.002333122,0.1364824,0.0001977252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.352271,0.01463857,0.5418994,0.003440907,0.002982134,0.001671746,0.006086227,0.02236127,0.05464871],"genre_scores_gemma":[0.7065576,0.00219334,0.273744,0.0009754319,0.0002790406,0.0005966069,0.001462707,0.00008246562,0.01410881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004124159,"threshold_uncertainty_score":0.01379669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006307749300318138,"score_gpt":0.1788299893762045,"score_spread":0.1725222400758863,"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."}}