{"id":"W7161985850","doi":"10.82308/55484","title":"Study of coliform bacteria in Canadian pulp and paper mill water systems : their ecology and utility as health hazard indicators","year":2000,"lang":"en","type":"dissertation","venue":"","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fecal coliform; Clarifier; Effluent; Indicator organism; Coliform bacteria; Citrobacter; Klebsiella; Contamination; Paper mill","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"medium","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002760308,0.0006181257,0.0003790774,0.001297373,0.001492228,0.000821317,0.0004839701,0.0003484554,0.0008852025],"category_scores_gemma":[0.0005434104,0.0001775282,0.0002311324,0.001447552,0.000464288,0.0002449048,0.0003919839,0.0002647003,0.0001763734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003073698,"about_ca_system_score_gemma":0.004218529,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.612613,"about_ca_topic_score_gemma":0.7448092,"domain_scores_codex":[0.9992087,0.00003016648,0.00002679405,0.0001363458,0.0004310462,0.0001669456],"domain_scores_gemma":[0.9994874,0.00003470817,0.00006751932,0.00001031641,0.0003114957,0.00008853091],"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":[0.000327091,0.0001911067,0.4693093,0.0003500087,0.00005809395,0.0003564863,0.001934803,0.0003492874,0.4948803,0.00009892495,0.0002624503,0.03188213],"study_design_scores_gemma":[0.000007320648,0.0002772125,0.936633,0.00001332094,0.00004205909,0.0001645901,0.001238983,0.0004473145,0.0590339,0.00002078739,0.002103477,0.00001801213],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997914,0.0001791708,0.0003791823,0.00002376435,0.000003411347,0.00005371116,0.0003788752,0.000007708681,0.001060174],"genre_scores_gemma":[0.9931171,0.0005339324,0.002151973,0.0000677994,0.000006883552,0.00003576902,0.001150461,0.000007136183,0.002928909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.387387,"threshold_uncertainty_score":0.7793368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176540144750467,"score_gpt":0.2560749612452726,"score_spread":0.2443095597977679,"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."}}