{"id":"W2091374408","doi":"10.1557/opl.2011.1012","title":"Disposable organic fluorescence biosensor for water pollution monitoring.","year":2011,"lang":"en","type":"article","venue":"MRS Proceedings","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Materials science; Fluorescence; Biosensor; Photodetector; Microfluidics; Microfluidic chip; Optoelectronics; OLED; Nanotechnology; Chlorophyll fluorescence; Optics","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":[0.00006816872,0.0001811163,0.0001528536,0.0000548524,0.00008362813,0.00003368512,0.0001465813,0.0001236964,0.00004826391],"category_scores_gemma":[0.00002206605,0.0001357601,0.00006387645,0.0001380536,0.00003286921,0.0001507849,0.00002127776,0.0001218826,0.00007575364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007092564,"about_ca_system_score_gemma":0.000003047744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006621821,"about_ca_topic_score_gemma":5.759908e-7,"domain_scores_codex":[0.99897,0.000001099864,0.0001786464,0.0002184126,0.0001095854,0.0005222218],"domain_scores_gemma":[0.9997177,0.0000056939,0.00001778711,0.00006963724,0.0000889576,0.0001002567],"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":[0.00002751559,0.00001887026,0.001115631,0.00007727575,0.00001573907,6.0906e-7,0.0004448129,8.593246e-7,0.996675,0.0001608192,0.00107463,0.0003882468],"study_design_scores_gemma":[0.000189781,0.00007544059,0.001049034,0.00002617431,0.00001848874,0.0000066422,0.00007192419,0.0005283827,0.9954311,0.0003514843,0.002020117,0.0002314536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970454,0.00005965117,0.00006032988,0.00006889654,0.0002198849,0.0002252275,0.00000394288,0.0004577421,0.00185894],"genre_scores_gemma":[0.9960244,0.00004262265,0.003087103,0.00002019645,0.0002801061,0.00002674865,0.000003580703,0.00005069602,0.0004645454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003026773,"threshold_uncertainty_score":0.5536137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456490007636815,"score_gpt":0.1890836910782671,"score_spread":0.174518791001899,"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."}}