{"id":"W3067326942","doi":"10.2166/wst.2020.393","title":"A critical review of the data pipeline: how wastewater system operation flows from data to intelligence","year":2020,"lang":"en","type":"review","venue":"Water Science & Technology","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Raw data; Computer science; Pipeline (software); Bridge (graph theory); Resource (disambiguation); Work (physics); State (computer science); Risk analysis (engineering); Data science; Computer security; Systems engineering; Engineering; Business","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":[0.003723465,0.0009725439,0.001552757,0.004467035,0.0006330307,0.003088654,0.001506825,0.002294795,0.004575197],"category_scores_gemma":[0.009264787,0.0006192217,0.001067315,0.006764841,0.001441155,0.004720781,0.001103262,0.003059345,0.002511757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001990678,"about_ca_system_score_gemma":0.007510012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003596937,"about_ca_topic_score_gemma":0.006233684,"domain_scores_codex":[0.9982862,0.000544586,0.0002815227,0.0002173349,0.0005704237,0.00009986402],"domain_scores_gemma":[0.9896108,0.007192402,0.0005989806,0.0002187062,0.002127738,0.0002515009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005729978,0.00004653648,0.0002487987,0.07009997,0.0001935862,0.0001647434,0.0003784033,0.0006157447,0.0009278317,0.02173392,0.08751701,0.8180161],"study_design_scores_gemma":[0.000004977841,0.00004394523,0.0003516119,0.0170829,0.00009144904,0.0002601305,0.0001287171,0.00006687901,0.0001765981,0.002614166,0.9791573,0.00002132463],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007042581,0.9955938,0.0004244778,0.001998172,0.0007342206,0.00001301397,0.0000455909,0.00001081219,0.001109379],"genre_scores_gemma":[0.0006534614,0.9971063,0.0003998539,0.001083857,0.0003524745,0.00001583028,0.00005287334,0.000004849579,0.0003306485],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004575197,"threshold_uncertainty_score":0.01969177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1723423794841087,"score_gpt":0.3665729286510886,"score_spread":0.1942305491669799,"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."}}