{"id":"W1984401594","doi":"10.3791/51414","title":"Colorimetric Paper-based Detection of &lt;em&gt;Escherichia coli&lt;/em&gt;, &lt;em&gt;Salmonella&lt;/em&gt; spp., and &lt;em&gt;Listeria monocytogenes&lt;/em&gt; from Large Volumes of Agricultural Water","year":2014,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Listeria monocytogenes; Escherichia coli; Salmonella; Bacteria; Detection limit; Microbiology; Chromatography; Biology; Chemistry; Biochemistry","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":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00163296,0.001734533,0.003070266,0.001169265,0.000557178,0.0006221017,0.0009716969,0.001317562,0.0008674594],"category_scores_gemma":[0.0004263303,0.001407953,0.001315219,0.001762829,0.0002422393,0.001198485,0.000372757,0.001020189,0.0001496771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008060792,"about_ca_system_score_gemma":0.0001166261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001000139,"about_ca_topic_score_gemma":0.000258413,"domain_scores_codex":[0.9898396,0.0008491921,0.003734213,0.001304992,0.002418295,0.001853708],"domain_scores_gemma":[0.9945839,0.0003740451,0.001812711,0.001024209,0.001100156,0.001104945],"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":[0.001734173,0.00113037,0.0003688292,0.0003469229,0.00121774,0.00005092472,0.001634576,0.0009978998,0.9884406,0.00004906577,0.001567097,0.002461778],"study_design_scores_gemma":[0.01094481,0.002372302,0.02063162,0.0006056867,0.0009716011,0.000100032,0.001018108,0.02703357,0.9193071,0.00009021572,0.01505816,0.001866825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852914,0.006586381,0.003393845,0.00005467317,0.002877828,0.000997813,0.0001956831,0.000271808,0.0003305419],"genre_scores_gemma":[0.9941602,0.0009193533,0.002327071,0.0001948702,0.001307914,0.00007785593,0.0001230566,0.0003221613,0.0005675196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06913356,"threshold_uncertainty_score":0.999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609042086660135,"score_gpt":0.2771000620720727,"score_spread":0.2610096412054713,"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."}}