{"id":"W7024595591","doi":"","title":"Study of water quality variations in the Moncton (New brunswick) distribution system using an integrated approach","year":2003,"lang":"en","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Water quality; Quality (philosophy); Distribution (mathematics); Hydrology (agriculture)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000418041,0.0004773142,0.0004958995,0.001397659,0.0006063996,0.000818001,0.0009597144,0.0002853688,0.001248213],"category_scores_gemma":[0.0005597507,0.000270586,0.0004011778,0.003989266,0.0003687133,0.0004003875,0.00069536,0.0003595974,0.0001506464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009689223,"about_ca_system_score_gemma":0.005400015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.857089,"about_ca_topic_score_gemma":0.9348657,"domain_scores_codex":[0.9995856,0.00007180037,0.00001616815,0.0001114359,0.0001341927,0.00008086116],"domain_scores_gemma":[0.9996118,0.00004994787,0.00005725044,0.00002662883,0.0001999022,0.00005454546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005395862,0.0005566495,0.9214514,0.0001384239,0.0003736108,0.0004771349,0.001383978,0.008618811,0.01810138,0.0004763757,0.001160448,0.0467222],"study_design_scores_gemma":[0.00002415394,0.0001144918,0.9873639,0.000009611981,0.00007155076,0.00003025789,0.001010347,0.008596497,0.001522876,0.00004256735,0.001199694,0.00001407771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914158,0.0001121103,0.002017324,0.00003566989,0.000007157135,0.0001974584,0.001835144,0.00003090295,0.004348254],"genre_scores_gemma":[0.9849732,0.0001799748,0.006736174,0.00004371125,0.000005366644,0.0002076781,0.002450742,0.00003011792,0.005372998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.142911,"threshold_uncertainty_score":0.2875051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0328571869112715,"score_gpt":0.2792237147985612,"score_spread":0.2463665278872897,"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."}}