{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007751472,0.001320236,0.00153038,0.00295844,0.000455902,0.001366929,0.001212139,0.001610686,0.005796299],"category_scores_gemma":[0.001116544,0.0006393705,0.0007955453,0.003420637,0.0005495004,0.002701031,0.0008284311,0.002097648,0.004473949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006223957,"about_ca_system_score_gemma":0.001222033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008977105,"about_ca_topic_score_gemma":0.001052771,"domain_scores_codex":[0.9994016,0.00006932601,0.00009099324,0.0001086567,0.0002871108,0.00004226142],"domain_scores_gemma":[0.9992312,0.0003376244,0.00008931195,0.00002731225,0.0002736281,0.00004093755],"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":[0.00005291332,0.00008600262,0.0001591328,0.03426295,0.00007038259,0.0002588454,0.0001049933,0.0004532395,0.01082564,0.007238467,0.03119583,0.9152916],"study_design_scores_gemma":[0.000004050659,0.0000892826,0.0002936162,0.002179378,0.00005556126,0.0007685962,0.00005047345,0.0001155111,0.001565478,0.001488356,0.9933645,0.00002535903],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000165003,0.9961473,0.0007813083,0.0002976851,0.0004412197,0.00001223945,0.00003832104,0.00001962761,0.002097352],"genre_scores_gemma":[0.0008049466,0.9962656,0.00108657,0.0002324051,0.0002668737,0.00001647976,0.00006407918,0.000005658072,0.001257366],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005796299,"threshold_uncertainty_score":0.01939058,"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."}}