{"id":"W4319322870","doi":"","title":"New Rapid Methods to Track Diluted Enterobacteriaceae Cells in Drinking Waters","year":2001,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Enterobacteriaceae; Track (disk drive); Computer science; Environmental science; Biology; Escherichia coli; Operating system; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002393959,0.001365697,0.001097486,0.002020219,0.0006037505,0.00143336,0.001163447,0.002336507,0.003350341],"category_scores_gemma":[0.003012309,0.0009588982,0.0005868056,0.0008020722,0.0007961054,0.001344805,0.001411903,0.002479276,0.002336268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005224337,"about_ca_system_score_gemma":0.0004877732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000910514,"about_ca_topic_score_gemma":0.002217172,"domain_scores_codex":[0.9979365,0.0004183782,0.0001084266,0.000445361,0.0009557197,0.000135645],"domain_scores_gemma":[0.997503,0.0009887001,0.0002074943,0.0002469215,0.0008545607,0.0001992879],"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":[0.0001824416,0.00005647564,0.001908185,0.000256996,0.00003351986,0.00002942625,0.00007183049,0.0001919116,0.9682106,0.0002111799,0.0007546567,0.02809278],"study_design_scores_gemma":[0.00007782876,0.0005177845,0.007825952,0.00005629604,0.0001281434,0.0006297186,0.0001586907,0.009835842,0.9655347,0.0007453682,0.01438881,0.0001009102],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.206778,0.01459759,0.759765,0.002055191,0.001828655,0.001213763,0.004086486,0.002548499,0.007126818],"genre_scores_gemma":[0.2600577,0.008587142,0.6910563,0.00168684,0.0006767867,0.002206283,0.004085969,0.0003894426,0.03125358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003350341,"threshold_uncertainty_score":0.01266062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480691807887452,"score_gpt":0.2514145613367571,"score_spread":0.2366076432578826,"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."}}