{"id":"W3190562973","doi":"10.1117/12.2594613","title":"A scalable digital microfluidic platform for automation of onsite testing of dairy samples","year":2021,"lang":"en","type":"article","venue":"","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Guelph","funders":"","keywords":"Digital microfluidics; Microfluidics; Scalability; Optofluidics; Electrowetting; Interface (matter); Lab-on-a-chip; Nanotechnology; Materials science; Computer science; Computer hardware; Embedded system; Engineering; Voltage; Electrical engineering","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":[0.0004194058,0.0004837555,0.0003474104,0.0005329603,0.0002321322,0.0004604101,0.0009787132,0.0004743338,0.001980945],"category_scores_gemma":[0.0005796303,0.0003151835,0.0002474489,0.0002336232,0.0002526996,0.0004512936,0.0007793877,0.0005506342,0.0006801796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004056121,"about_ca_system_score_gemma":0.0006511513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003643251,"about_ca_topic_score_gemma":0.0005778188,"domain_scores_codex":[0.9994847,0.00003609004,0.00003407983,0.0001599269,0.0002391541,0.00004609735],"domain_scores_gemma":[0.9997651,0.00006036036,0.00005524328,0.00003995691,0.00005043393,0.00002889079],"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":[0.00008918424,0.00007605313,0.0003350639,0.0001766328,0.00001223302,0.00009706715,0.00003743165,0.0008764926,0.9617081,0.001142319,0.001366648,0.03408269],"study_design_scores_gemma":[0.00005037388,0.0005302922,0.002093137,0.0000303585,0.00002454042,0.000351363,0.00002123871,0.02155177,0.9467119,0.0005336527,0.02804717,0.00005425517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3335518,0.004227388,0.6272308,0.001140728,0.001246268,0.001753829,0.005033945,0.01360792,0.01220741],"genre_scores_gemma":[0.5465078,0.001619196,0.4396996,0.000567288,0.0001944146,0.001448737,0.001930793,0.0001554643,0.00787675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001980945,"threshold_uncertainty_score":0.006626844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110877786538177,"score_gpt":0.2189305554505214,"score_spread":0.1978217775851396,"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."}}