{"id":"W4236866941","doi":"10.1515/iupac.81.0015","title":"Absorbent","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; 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":[],"consensus_categories":[],"category_scores_codex":[0.00112045,0.002076565,0.001463173,0.005155009,0.001279423,0.003725336,0.003361057,0.002299912,0.1220122],"category_scores_gemma":[0.00906846,0.0006700314,0.001617291,0.007476299,0.0004443863,0.003161772,0.00305148,0.002424341,0.1940765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001852041,"about_ca_system_score_gemma":0.002800015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02053845,"about_ca_topic_score_gemma":0.04407212,"domain_scores_codex":[0.9980257,0.0003175244,0.000242779,0.000629448,0.0004761077,0.0003084984],"domain_scores_gemma":[0.9970119,0.0007347421,0.0003084705,0.0007887813,0.0008652186,0.0002908308],"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":[0.00008736357,0.00002122309,0.001284393,0.0008304638,0.00002850992,0.00002532397,0.0000306411,0.0002002629,0.00009076667,0.0009859299,0.9908962,0.005519068],"study_design_scores_gemma":[0.00009490654,0.00001323906,0.002261899,0.00037136,0.00002052259,0.00006331721,0.00008867709,0.0002507666,0.0001858487,0.001355193,0.9952745,0.00001976663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001668921,0.0001506135,0.00009841146,0.0001293784,0.00004079401,0.00001663724,0.9969001,0.0004069592,0.002090263],"genre_scores_gemma":[0.0003342705,0.00009727705,0.0002616023,0.0001016553,0.000009370895,0.00005315464,0.9977767,0.00007765239,0.001288415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1220122,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005600223059300468,"score_gpt":0.3240403857832585,"score_spread":0.318440162723958,"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."}}