{"id":"W2943851639","doi":"10.1002/adfm.201901998","title":"Inertial Microfluidics with Integrated Vortex Generators Using Liquid Metal Droplets as Fugitive Ink","year":2019,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"RMIT University; Australian Research Council; Ontario Ministry of Natural Resources and Forestry; Adobe Systems","keywords":"Materials science; Microfluidics; Polydimethylsiloxane; Vortex; Liquid metal; Fabrication; Fluidics; Nanotechnology; Scroll; Polystyrene; Composite material; Mechanics; Mechanical engineering; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001066891,0.0003391738,0.0003907427,0.0001554726,0.00008618038,0.00005669059,0.0001243034,0.0002021036,0.0005520865],"category_scores_gemma":[0.00003697256,0.0002707475,0.00005136014,0.0002784312,0.0001089819,0.00026994,0.00006561288,0.0001569387,0.0002268041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495601,"about_ca_system_score_gemma":0.00007535474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003842621,"about_ca_topic_score_gemma":0.000002024093,"domain_scores_codex":[0.9987052,0.00003373562,0.0003484735,0.0003458833,0.000209252,0.0003574458],"domain_scores_gemma":[0.9994205,0.00003203719,0.00007799207,0.0002643178,0.0001484756,0.00005666394],"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":[0.0004258962,0.00001801474,0.00005245144,0.00002995927,0.0001060325,0.00001584696,0.00002607855,0.001271305,0.9968782,0.0004451131,0.0003006118,0.0004304748],"study_design_scores_gemma":[0.0005918677,0.000277503,0.0001298153,0.0000737507,0.00003550098,0.000113086,0.0001705508,0.0001114247,0.9930686,0.0001181493,0.004930551,0.0003792472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914114,0.0006137101,0.004617733,0.00003320143,0.002019704,0.0002837535,0.00009634768,0.0007600273,0.0001641051],"genre_scores_gemma":[0.9954928,0.0001714009,0.003657876,0.000122751,0.0001773977,0.00001402437,0.0001634849,0.00007198404,0.0001282802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00462994,"threshold_uncertainty_score":0.9999745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007157157721212142,"score_gpt":0.186584558095252,"score_spread":0.1794274003740399,"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."}}