{"id":"W2759193908","doi":"10.1007/s00216-017-0597-y","title":"Print to detect: a rapid and ultrasensitive phage-based dipstick assay for foodborne pathogens","year":2017,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Université du Québec à Trois-Rivières; University of Guelph; Agriculture and Agri-Food Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dipstick; Chromatography; Microbiology; Biology; Chemistry; Biochemistry; Urine","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":[0.0004939413,0.001216508,0.0005193405,0.001233679,0.000363648,0.0008635448,0.0009454164,0.001184286,0.004348431],"category_scores_gemma":[0.0008195771,0.0004858115,0.0004157261,0.0003063678,0.0004190964,0.0007324995,0.001077928,0.001377192,0.005031545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000295037,"about_ca_system_score_gemma":0.0004383296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002857971,"about_ca_topic_score_gemma":0.0008391329,"domain_scores_codex":[0.9987502,0.0001055903,0.00005417706,0.0002135074,0.0007853035,0.00009114064],"domain_scores_gemma":[0.9994999,0.000113093,0.00005531745,0.00005626756,0.0001272281,0.0001481797],"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":[0.0002012392,0.000211411,0.0007994581,0.0001394514,0.00002053466,0.0001118264,0.00003183979,0.000121604,0.9483839,0.0002216836,0.002756048,0.04700098],"study_design_scores_gemma":[0.00003774428,0.000717919,0.0037512,0.00001669612,0.00003794068,0.001309295,0.00002825172,0.003279555,0.9779999,0.0001943346,0.01259033,0.00003683212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.415392,0.009139171,0.518229,0.002317988,0.002816588,0.001240448,0.00465969,0.0197066,0.02649859],"genre_scores_gemma":[0.5983033,0.003917787,0.2904565,0.005005205,0.0005601785,0.0006171361,0.006153416,0.0007044012,0.09428215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004348431,"threshold_uncertainty_score":0.01454693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325708419801438,"score_gpt":0.2330835204769667,"score_spread":0.2198264362789523,"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."}}