{"id":"W4229962424","doi":"10.1515/iupac.81.0060","title":"Ambient Monitoring","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Computer science; Environmental science; Ecology; Biology; Data mining; Linguistics; Philosophy","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":[0.0009782368,0.00200844,0.001282751,0.002733818,0.0007308512,0.002031187,0.002572701,0.001929612,0.04326818],"category_scores_gemma":[0.005412311,0.00045255,0.00151909,0.004978671,0.0003137995,0.00211322,0.001824463,0.001796994,0.06580362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647762,"about_ca_system_score_gemma":0.001692654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03559728,"about_ca_topic_score_gemma":0.0633928,"domain_scores_codex":[0.9983551,0.0002484416,0.0001940986,0.0005797939,0.0004273626,0.0001952005],"domain_scores_gemma":[0.9977155,0.0004275016,0.0003134611,0.0005785492,0.0008064537,0.0001584725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001090376,0.0000339105,0.004440772,0.0009544758,0.00005656831,0.00004445573,0.0000260794,0.0007312418,0.0001660192,0.001109013,0.9827464,0.009581991],"study_design_scores_gemma":[0.00009369155,0.00001753393,0.01030973,0.0004525734,0.00003913075,0.0001050533,0.00009661135,0.0009489423,0.0004944103,0.001730084,0.9856724,0.00003994983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003074414,0.0001654262,0.0001880515,0.00009147435,0.00004665784,0.00001455687,0.9965841,0.0004091232,0.002193115],"genre_scores_gemma":[0.0009603155,0.0001226154,0.0005060048,0.000081506,0.00001100995,0.00004914121,0.9969882,0.0000505143,0.001230778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04326818,"threshold_uncertainty_score":0.1447465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990768222481247,"score_gpt":0.3855141244593512,"score_spread":0.3656064422345387,"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."}}