{"id":"W2931078817","doi":"10.1049/mnl.2018.5411","title":"Cost‐effective template development for the microfluidic device","year":2019,"lang":"en","type":"article","venue":"Micro & Nano Letters","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heritage College","funders":"","keywords":"Microfluidics; Nanotechnology; Computer science; Process engineering; Materials science; 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":[0.0003485323,0.0006358266,0.0004414626,0.0005809792,0.0002560272,0.0004832259,0.0006901086,0.000740264,0.004619196],"category_scores_gemma":[0.0004652292,0.0003770518,0.0006302737,0.0004522395,0.0001914333,0.0005724445,0.0004268525,0.000890326,0.004933252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005084409,"about_ca_system_score_gemma":0.0005304802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000359418,"about_ca_topic_score_gemma":0.0008447023,"domain_scores_codex":[0.9995897,0.00002387999,0.00002958201,0.00007848427,0.0002400082,0.00003833033],"domain_scores_gemma":[0.999826,0.00004047783,0.00004214591,0.00003326258,0.00003694744,0.00002113983],"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":[0.00002411085,0.00006161046,0.0001226591,0.0003066357,0.00001218056,0.0001617665,0.00002313369,0.000473307,0.9628674,0.002026337,0.001332117,0.03258874],"study_design_scores_gemma":[0.00001435841,0.0001414362,0.0003986003,0.00002145474,0.00001525621,0.0004377728,0.000009851569,0.002438142,0.9611515,0.0003337391,0.03502053,0.00001747228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1560573,0.01440847,0.7782066,0.001120924,0.001719337,0.001856656,0.00314425,0.004702778,0.03878379],"genre_scores_gemma":[0.3623918,0.008026399,0.6032929,0.0005084275,0.0002577399,0.001425692,0.00268833,0.0003374879,0.02107114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004619196,"threshold_uncertainty_score":0.01545268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009463911221391782,"score_gpt":0.2125004318243359,"score_spread":0.2030365206029441,"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."}}