{"id":"W4294415018","doi":"10.1002/pat.5847","title":"Biomedical applications of microfluidic devices: Achievements and challenges","year":2022,"lang":"en","type":"article","venue":"Polymers for Advanced Technologies","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Microfluidics; Nanotechnology; Microscale chemistry; Fabrication; Microelectronics; Materials science; Microfabrication","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001580328,0.00009564653,0.0001470205,0.0002659437,0.0001147429,0.000004284751,0.0003827634,0.00006461561,0.00001446325],"category_scores_gemma":[0.00009133649,0.00009663396,0.00003123835,0.0003251497,0.0003271592,0.00003863232,0.0003351262,0.0001839584,9.989295e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004554983,"about_ca_system_score_gemma":0.00001307213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002238477,"about_ca_topic_score_gemma":5.372303e-7,"domain_scores_codex":[0.9991394,0.000008108776,0.0001813934,0.0001848402,0.0002180121,0.0002682068],"domain_scores_gemma":[0.9995407,0.0001380249,0.00003355093,0.0002365153,0.00001666886,0.00003456139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000956632,0.00004103903,0.00009796692,0.0003792988,0.00004543243,5.046596e-7,0.00005530554,0.000009882192,0.08115609,0.00255543,0.0001041923,0.9155453],"study_design_scores_gemma":[0.0008974729,0.0003609046,0.0001946692,0.00003760049,0.00001982515,0.000007804737,0.008639918,0.0006481762,0.2541979,0.006600538,0.7281015,0.0002936993],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.207466,0.6658611,0.1043582,0.009923769,0.0005545003,0.003365471,0.0005593002,0.006263145,0.001648466],"genre_scores_gemma":[0.9717075,0.01730318,0.009305929,0.00001223168,0.000008825868,0.001581573,0.00002044907,0.00002832822,0.00003201123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9152516,"threshold_uncertainty_score":0.3940619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02217158265071824,"score_gpt":0.2727899243756762,"score_spread":0.250618341724958,"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."}}