{"id":"W4249846045","doi":"10.1139/w01-055","title":"Use of β-<scp>D</scp>-galactosidase and β-<scp>D</scp>-glucuronidase activities for quantitative detection of total and fecal coliforms in wastewater","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Région Normandie","keywords":"Wastewater; Fecal coliform; Sewage; Escherichia coli; Bacteria; Food science; Coliform bacteria; Indicator bacteria; Chemistry; Sewage treatment; Microbiology; Environmental science; Biology; Environmental engineering; Water quality; Biochemistry; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007052701,0.0008984366,0.00044134,0.0008800807,0.0002991103,0.0007490409,0.0005042937,0.0005599228,0.0004351597],"category_scores_gemma":[0.001238099,0.0003485898,0.0003353169,0.0008556967,0.0008089357,0.0003730102,0.0004618294,0.0007815459,0.0003001421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028012,"about_ca_system_score_gemma":0.0009513861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007877568,"about_ca_topic_score_gemma":0.01357271,"domain_scores_codex":[0.9986007,0.0002325352,0.00012561,0.0002814744,0.0006531788,0.0001065723],"domain_scores_gemma":[0.9992158,0.0002024102,0.0001953742,0.00006945691,0.000217165,0.00009974923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005336093,0.00002222031,0.0009635436,0.00007144704,0.00001024097,0.0000150355,0.00002040319,0.00005799122,0.9939214,0.000041256,0.00001600149,0.004807238],"study_design_scores_gemma":[0.00001254689,0.0002416877,0.007201997,0.00001267231,0.00002347693,0.0002970879,0.00003100407,0.0008544964,0.9903721,0.0000478981,0.0008911422,0.00001393569],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8882816,0.005350817,0.1012525,0.0003717909,0.00007461356,0.0002225505,0.0009690758,0.0002917795,0.003185246],"genre_scores_gemma":[0.8616723,0.003538487,0.1292999,0.0001817898,0.00002162857,0.0002445894,0.00132789,0.00004767091,0.003665632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007877568,"threshold_uncertainty_score":0.01566339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375556639120574,"score_gpt":0.2322165324846676,"score_spread":0.2084609660934618,"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."}}