{"id":"W2311868689","doi":"10.1117/12.2219856","title":"Electrically biased GaAs/AlGaAs heterostructures for enhanced detection of bacteria","year":2016,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs","keywords":"Legionella pneumophila; Biochip; Biotinylation; Materials science; Electrode; Nanomaterials; Heterojunction; Polyethylene glycol; Fluorescence microscope; Bacteria; Nanotechnology; Fluorescence; Chemistry; Optoelectronics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002037949,0.0002673538,0.0001405266,0.0001042678,0.00010768,0.0003323577,0.0002764977,0.0003055082,0.0005052299],"category_scores_gemma":[0.000254582,0.0001826546,0.00009667393,0.0001240176,0.0001851096,0.0002141434,0.0001877119,0.0002839318,0.000202461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002431074,"about_ca_system_score_gemma":0.0001185288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000589642,"about_ca_topic_score_gemma":0.001553012,"domain_scores_codex":[0.9998513,0.0000286631,0.00001111262,0.00002664636,0.00005704852,0.00002511185],"domain_scores_gemma":[0.9998912,0.00004362484,0.00002212096,0.000008636825,0.00002431627,0.00001005601],"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":[0.000005468941,0.000002052395,0.00003606934,0.00001073373,0.00000103652,0.00001044159,0.000006166308,0.00002309508,0.9996673,0.00001720483,0.000005133383,0.0002152923],"study_design_scores_gemma":[0.000002557802,0.00003848585,0.0005762567,0.000002524254,0.000003246672,0.00002792047,0.00001470928,0.0007213452,0.9983015,0.0000189103,0.0002906279,0.000002011841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942274,0.001201835,0.003490668,0.0001511046,0.00004549629,0.00001247962,0.00008475179,0.00004768512,0.0007385155],"genre_scores_gemma":[0.9929087,0.0007600928,0.005326434,0.00007075016,0.00001235423,0.00001395178,0.00004836401,0.00001190265,0.0008475017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000589642,"threshold_uncertainty_score":0.00176394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007701093530198691,"score_gpt":0.2066102382913884,"score_spread":0.1989091447611897,"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."}}