{"id":"W4247806195","doi":"10.1515/iupac.81.0506","title":"Leachate","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Computer science; Ecology; Environmental science; Biology; Data mining; Philosophy; Linguistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001280513,0.001779335,0.00146697,0.00444668,0.0009778021,0.003227348,0.002676354,0.001720336,0.07524471],"category_scores_gemma":[0.00539984,0.0006933279,0.001698565,0.00714426,0.0003891217,0.002627793,0.002538109,0.001719837,0.1046385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002192156,"about_ca_system_score_gemma":0.002890377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02827846,"about_ca_topic_score_gemma":0.05966877,"domain_scores_codex":[0.9981705,0.0002531615,0.0002798178,0.0005300406,0.0005598627,0.0002065842],"domain_scores_gemma":[0.997484,0.0005097084,0.0003698246,0.0006278354,0.0008472598,0.0001614176],"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":[0.0001919437,0.00004023175,0.004415143,0.002105038,0.00009270618,0.00004614361,0.00004924987,0.0007020922,0.0004226654,0.001619009,0.978578,0.01173779],"study_design_scores_gemma":[0.0001054253,0.00001475654,0.004483728,0.0003602923,0.00003303908,0.00005795741,0.00008753111,0.0003021337,0.0004916116,0.001462488,0.992572,0.00002898018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001935422,0.0001147412,0.0001007185,0.00007468308,0.00001877027,0.00001033884,0.9981682,0.0002336063,0.001085414],"genre_scores_gemma":[0.0005060137,0.0001320437,0.0003738154,0.00007389791,0.000004756132,0.00004349835,0.9977072,0.00005465899,0.001104001],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9247553,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874908875752558,"score_gpt":0.4274157710859537,"score_spread":0.4086666823284282,"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."}}