{"id":"W1711274465","doi":"10.3390/mi6091406","title":"OLED Hybrid Integrated Polymer Microfluidic Biosensing for Point of Care Testing","year":2015,"lang":"en","type":"article","venue":"Micromachines","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; OLED; Biosensor; Point-of-care testing; Nanotechnology; Point of care; Materials science; Polymer; Optoelectronics; Medicine; Composite material","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":[0.0003175557,0.0005773654,0.0003072075,0.0004772066,0.0002114984,0.0004739645,0.0007557649,0.0007140981,0.0008427717],"category_scores_gemma":[0.0002940844,0.0002820669,0.0002797177,0.0002235826,0.0002444387,0.0004472517,0.0004899605,0.0003090376,0.0003988074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004108082,"about_ca_system_score_gemma":0.0002685015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002098653,"about_ca_topic_score_gemma":0.0004749471,"domain_scores_codex":[0.9995752,0.00003880524,0.0000232719,0.0001066695,0.0002139897,0.00004206324],"domain_scores_gemma":[0.9998552,0.00004022702,0.00004087032,0.00001356736,0.00003629439,0.00001378916],"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":[0.0000431809,0.00002994427,0.0001792985,0.0001129662,0.00001017046,0.00009932995,0.00001244529,0.0003474891,0.985865,0.000474566,0.0002585047,0.01256712],"study_design_scores_gemma":[0.00001313694,0.0001887118,0.0006780049,0.00001092145,0.00002022869,0.0003748143,0.000006341344,0.004555501,0.9847991,0.0001242287,0.009207844,0.00002115253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5136195,0.03001015,0.438398,0.001017516,0.001261062,0.0004690103,0.000872488,0.00319452,0.01115776],"genre_scores_gemma":[0.7652887,0.006575712,0.2172225,0.0004378278,0.0001779161,0.0002587931,0.0003690267,0.00006369928,0.009605843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008427717,"threshold_uncertainty_score":0.002980649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397143313326659,"score_gpt":0.2216198429535994,"score_spread":0.2076484098203328,"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."}}