{"id":"W2518810946","doi":"10.3791/54546","title":"Colorimetric Detection of Bacteria Using Litmus Test","year":2016,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Litmus; Urease; Bacteria; Chemistry; Chromatography; Urea; Microbiology; Biochemistry; Biology; Organic chemistry","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":[0.0009249332,0.00117252,0.000635866,0.001655385,0.0004263877,0.0006703099,0.001190311,0.001284467,0.002580158],"category_scores_gemma":[0.001318141,0.0004624825,0.0006079203,0.001015504,0.0005601945,0.0007880004,0.001531357,0.001144433,0.001380418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003016045,"about_ca_system_score_gemma":0.0003372332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004202608,"about_ca_topic_score_gemma":0.0007520897,"domain_scores_codex":[0.9976751,0.0006241537,0.0001603416,0.0004422229,0.0009187958,0.0001794895],"domain_scores_gemma":[0.9991966,0.0002782603,0.000187734,0.00005933902,0.0001959778,0.00008212372],"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":[0.0001079862,0.00004850309,0.0008418076,0.0006176488,0.00004144988,0.0001526984,0.0001251631,0.0001794576,0.9802813,0.000691534,0.0008229049,0.01608955],"study_design_scores_gemma":[0.00001614474,0.0003583646,0.001483366,0.00005337007,0.00004173927,0.000636495,0.00009936954,0.003546497,0.9866304,0.0002822348,0.006797748,0.00005433755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4261688,0.02182513,0.5036492,0.001360449,0.001225019,0.0007775436,0.001478418,0.005567031,0.03794836],"genre_scores_gemma":[0.6162013,0.01230643,0.3474659,0.0009607567,0.0001882762,0.001035675,0.001825555,0.0001904138,0.01982573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002580158,"threshold_uncertainty_score":0.008631527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02517812798481229,"score_gpt":0.4082476678351642,"score_spread":0.3830695398503519,"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."}}