{"id":"W4239574236","doi":"10.1515/iupac.81.0779","title":"Riparian","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Computer science; Environmental science; 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":[0.001227135,0.001742933,0.001468264,0.004156359,0.001052738,0.003705209,0.003097857,0.001934474,0.146588],"category_scores_gemma":[0.0096857,0.0006633271,0.001436026,0.006982577,0.0004422946,0.002965965,0.002779055,0.002184714,0.2458742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001727786,"about_ca_system_score_gemma":0.002874847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01503725,"about_ca_topic_score_gemma":0.04032587,"domain_scores_codex":[0.998295,0.0003097584,0.0002296861,0.0006204837,0.0003283763,0.0002167382],"domain_scores_gemma":[0.9968597,0.0007821989,0.0003168977,0.0008577234,0.0008676114,0.0003159209],"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":[0.00005490071,0.00001267481,0.0006999146,0.0007011971,0.00002075211,0.00001866416,0.00002259705,0.0001518019,0.00006533114,0.0007529342,0.9942867,0.003212593],"study_design_scores_gemma":[0.00009231464,0.000009103407,0.001325825,0.0002918464,0.00001454987,0.00004501477,0.00005826327,0.000205094,0.0001543076,0.001523216,0.9962642,0.00001624794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008283686,0.0001062968,0.00009321783,0.0000916514,0.00002808533,0.0000149366,0.9974584,0.0004429917,0.001681618],"genre_scores_gemma":[0.0002430551,0.00008604458,0.0003200031,0.00008936894,0.000006906406,0.00006368547,0.9981015,0.0001119598,0.0009775491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.146588,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009948556885547367,"score_gpt":0.3564962442370026,"score_spread":0.3465476873514552,"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."}}