{"id":"W2743549042","doi":"10.1615/critrevbiomedeng.2017019704","title":"A Review of Sensing Systems and Their Need for Environmental Water Monitoring","year":2016,"lang":"en","type":"review","venue":"Critical Reviews in Biomedical Engineering","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Water quality; Environmental science; Environmental monitoring; Hazardous waste; Water pollution; Human health; Water resources; Pollution; Contamination; Water contamination; Watershed; Computer science; Environmental engineering; Waste management; Engineering; Environmental chemistry; Chemistry; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001824335,0.0005262748,0.00246037,0.0001462323,0.00003593601,0.00002096836,0.0004234959,0.0003918066,0.00003146365],"category_scores_gemma":[0.002115503,0.0002853246,0.000332683,0.0001901945,0.000482972,0.0001038596,0.0005954482,0.0003843741,0.00005240376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003708572,"about_ca_system_score_gemma":0.000008443596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005009837,"about_ca_topic_score_gemma":2.858761e-8,"domain_scores_codex":[0.996846,0.0001574156,0.001540469,0.0005714861,0.0002517534,0.0006328333],"domain_scores_gemma":[0.9982031,0.0009638631,0.0001247515,0.0005118648,0.000004571945,0.0001918767],"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":[6.059073e-7,0.00002101526,0.000002447021,0.188459,0.00001396723,0.000004339642,0.00001466633,2.110557e-7,0.0003425034,0.00002219637,0.0001167751,0.8110023],"study_design_scores_gemma":[0.00005862751,0.00002777892,4.072612e-7,0.2900002,0.00006497955,0.00002885756,0.000005673029,0.00004499774,0.00008936351,0.00001955621,0.709403,0.0002565104],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000009591844,0.9940481,0.003627177,0.0001126208,0.0006988511,0.001376123,0.0000460775,0.00006981806,0.00001163544],"genre_scores_gemma":[0.0000442759,0.9957393,0.003643992,0.00001234115,0.0002122627,0.0002553277,0.00001638758,0.00005981213,0.00001628818],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8107458,"threshold_uncertainty_score":0.9999599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05396505867126797,"score_gpt":0.327925233086761,"score_spread":0.273960174415493,"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."}}