{"id":"W4241583933","doi":"10.1515/iupac.81.0813","title":"Sediment","year":2016,"lang":"it","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; Environmental science; Computer 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":[],"consensus_categories":[],"category_scores_codex":[0.001286692,0.001820849,0.001247777,0.003669203,0.00112636,0.003104187,0.002588043,0.001783709,0.1139045],"category_scores_gemma":[0.008991732,0.0005746539,0.001544192,0.00545738,0.0004204942,0.002303308,0.002420999,0.002061898,0.2048259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761861,"about_ca_system_score_gemma":0.002365431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0177029,"about_ca_topic_score_gemma":0.04418609,"domain_scores_codex":[0.9980314,0.0003479321,0.0002679749,0.0006826608,0.0004382149,0.000231901],"domain_scores_gemma":[0.997044,0.0005901439,0.0002854164,0.0007980806,0.001010291,0.0002720589],"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":[0.00007360765,0.00002106639,0.001506713,0.000562867,0.00002299743,0.0000246542,0.00002729128,0.0002144736,0.00008971288,0.0007816358,0.9913612,0.005313817],"study_design_scores_gemma":[0.00008643158,0.00001461677,0.002927931,0.0003118802,0.00001716945,0.00006291222,0.00009210636,0.0003045643,0.0002211979,0.001540886,0.9944023,0.00001796197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000212312,0.0001156973,0.0001211527,0.0001473706,0.00006995241,0.00001846664,0.9969161,0.0003607773,0.002038292],"genre_scores_gemma":[0.0003839742,0.00006372389,0.0002952535,0.00007803811,0.000009732151,0.0000489751,0.9977174,0.00005679418,0.001346283],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1139045,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124688089907675,"score_gpt":0.3545772610256651,"score_spread":0.3433303801265883,"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."}}