{"id":"W2113897233","doi":"10.1109/biocas.2008.4696912","title":"A CMOS integrated bacterial sensor for rapid detection of Pseudomonas aeruginosa","year":2008,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"CMOS; Chip; Pseudomonas aeruginosa; Pseudomonas; Noise (video); Computer science; Bacteria; Biology; Physics; Artificial intelligence; Optoelectronics; Telecommunications; Genetics","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":[0.0001910194,0.0003439851,0.000324013,0.0002310438,0.0002050305,0.0002717167,0.0007273167,0.0005557863,0.001462837],"category_scores_gemma":[0.0003030728,0.0002493663,0.0001834203,0.0002606604,0.000158408,0.0003695162,0.0002465747,0.0002838582,0.0006869474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004902189,"about_ca_system_score_gemma":0.0004228111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006307434,"about_ca_topic_score_gemma":0.001403787,"domain_scores_codex":[0.9996133,0.00002845701,0.00001411742,0.00008070993,0.0002237611,0.00003965923],"domain_scores_gemma":[0.9998367,0.00003124036,0.0000225059,0.0000118322,0.0000755133,0.00002211497],"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":[0.00004865688,0.00001917217,0.0002105774,0.00008175137,0.000007284989,0.0000476631,0.00001574403,0.000136893,0.9882876,0.0002217895,0.0004064448,0.01051634],"study_design_scores_gemma":[0.0000301385,0.0005439061,0.002247625,0.00001137297,0.00003750124,0.0006889747,0.00002102109,0.006348325,0.9755214,0.00009233961,0.01443552,0.00002194951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5333366,0.008895781,0.4338357,0.001056079,0.001085484,0.0004732414,0.001647196,0.004927794,0.0147422],"genre_scores_gemma":[0.6121809,0.002478291,0.370175,0.0006239634,0.00013358,0.0002606809,0.0007396373,0.00006536324,0.0133426],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001462837,"threshold_uncertainty_score":0.00489372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874964116179744,"score_gpt":0.1963480848457667,"score_spread":0.1775984436839692,"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."}}