{"id":"W2287545090","doi":"10.5539/ep.v5n1p51","title":"Quality Assessment of Soil Pollution Monitoring: Focus on Representativeness","year":2016,"lang":"en","type":"article","venue":"Environment and Pollution","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Representativeness heuristic; Quality (philosophy); Sampling (signal processing); Environmental science; Soil quality; Pollution; Data quality; Selection (genetic algorithm); Statistics; Computer science; Reliability engineering; Data mining; Soil water; Mathematics; Engineering; Soil science; Operations management; Machine learning; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003307143,0.0001088021,0.0001237693,0.00002759368,0.00009867409,0.000007190136,0.00006098866,0.00004660596,0.0003617378],"category_scores_gemma":[0.00002287612,0.00008025931,0.00003413675,0.00004690313,0.0001877959,0.0001054233,0.00009458428,0.00004416615,0.00004879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001921333,"about_ca_system_score_gemma":0.000004687726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000344498,"about_ca_topic_score_gemma":0.000007154948,"domain_scores_codex":[0.9989365,0.0001062682,0.000213682,0.000264717,0.0003119175,0.0001669428],"domain_scores_gemma":[0.9995498,0.00005042854,0.0001365892,0.0001944829,0.000001765166,0.00006690357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000053332,0.0001498146,0.582585,0.000009464069,0.00002073367,0.000001876731,0.0002022952,0.001282603,0.1970366,0.006809686,0.0001659183,0.2116827],"study_design_scores_gemma":[0.0004622953,0.0001092597,0.9792632,0.00002374633,0.00000860518,7.309484e-7,0.0000586936,0.00008879237,0.01500096,0.003556145,0.001310886,0.0001166875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725763,0.00003056199,0.02015622,0.001048877,0.0001386876,0.0001478634,0.00003745198,0.0000155125,0.005848498],"genre_scores_gemma":[0.9982747,0.0002390617,0.0007491995,0.00002192497,0.0000434653,0.00001410156,0.000002447406,0.000007027298,0.0006480176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3966782,"threshold_uncertainty_score":0.3960775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03282646669150514,"score_gpt":0.3040521000039091,"score_spread":0.271225633312404,"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."}}