{"id":"W2326666339","doi":"10.1115/icnmm2013-73037","title":"Microspot With Integrated Wells (MSIW) for the Detection of E.coli","year":2013,"lang":"en","type":"article","venue":"","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Centers for Disease Control and Prevention","keywords":"Escherichia coli; Substrate (aquarium); Contamination; Hydrolysis; Chemistry; Water quality; Enzyme; Food science; Microbiology; Biochemistry; Biology; Ecology; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00003041086,0.00005533525,0.00006240599,0.0000201986,0.00002700475,0.00001609117,0.00003476957,0.00003951187,0.0001015599],"category_scores_gemma":[0.000005613819,0.00002822011,0.00003081129,0.0001084182,0.00002451097,0.00003886976,0.000002645379,0.00005541243,0.00002426495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001182706,"about_ca_system_score_gemma":0.000001980085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001987121,"about_ca_topic_score_gemma":0.00006546885,"domain_scores_codex":[0.9997432,0.000002828768,0.00008256968,0.00005126455,0.00003568412,0.00008446023],"domain_scores_gemma":[0.9998055,0.00004178492,0.00001030556,0.00007189344,0.00005227424,0.00001828365],"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":[0.00002021761,0.00001257311,0.00003313612,0.00004606768,0.0000679416,7.304212e-8,0.00002697896,0.001751343,0.9448901,0.0002310123,0.001128296,0.05179226],"study_design_scores_gemma":[0.0001713863,0.00008887325,0.002198339,0.000009443014,0.00001947897,0.000001627622,0.0001086908,0.2691754,0.7205158,0.0001464563,0.007496614,0.00006781937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6316402,0.00008212012,0.3653682,0.0001890547,0.000167946,0.000473886,0.000004399656,0.0001722435,0.001901915],"genre_scores_gemma":[0.9985209,0.00001474425,0.0005529682,0.00002573622,0.00002643181,0.0000221299,5.51929e-7,0.00001008296,0.0008264449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3668807,"threshold_uncertainty_score":0.1150783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004694967003324364,"score_gpt":0.1672733440988833,"score_spread":0.1625783770955589,"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."}}