{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009719183,0.000213868,0.000280674,0.0001204239,0.00006869403,0.00002213232,0.0001564575,0.00005765609,0.000007558366],"category_scores_gemma":[0.00005026151,0.000198117,0.00008999714,0.0002747895,0.00005080858,0.00004917049,0.00002690796,0.00009613125,0.00001130232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007857407,"about_ca_system_score_gemma":0.00006639722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001076587,"about_ca_topic_score_gemma":0.000006332261,"domain_scores_codex":[0.9990932,0.00001984312,0.0003316419,0.000199344,0.00008000424,0.0002760199],"domain_scores_gemma":[0.9992924,0.00006169266,0.00005410441,0.0002520542,0.0002464108,0.00009327939],"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":[0.00001705604,0.00001396004,0.0002752025,0.00008715915,0.00003692543,0.000001446853,0.00030672,0.000006004514,0.9395767,0.0000428146,0.05722884,0.002407152],"study_design_scores_gemma":[0.0004571703,0.0000747197,0.0001075144,0.00005009383,0.00004426348,0.00004616101,0.0003016984,0.0005393404,0.9801922,0.00008035657,0.01789181,0.0002147062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.820253,0.1746415,0.003912864,0.00004824395,0.00012666,0.0002758233,0.0001185322,0.00022079,0.0004025927],"genre_scores_gemma":[0.9969606,0.001094558,0.001458839,0.00004751634,0.00009248439,0.00002583097,0.0001783858,0.0000693763,0.0000723469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1767077,"threshold_uncertainty_score":0.8078978,"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."}}