{"id":"W4248906382","doi":"10.1515/iupac.81.0131","title":"Biominification","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); Environmental risk assessment; Computer science; Ecology; Risk assessment; 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":[0.00170753,0.002748717,0.001763459,0.006068579,0.001668696,0.004611334,0.004131101,0.002799705,0.08363397],"category_scores_gemma":[0.01141263,0.0008047593,0.002416022,0.009011984,0.0006961487,0.00372628,0.003912632,0.003689851,0.1285571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002451119,"about_ca_system_score_gemma":0.004097683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02319702,"about_ca_topic_score_gemma":0.04747304,"domain_scores_codex":[0.9975635,0.0003820999,0.0003739159,0.000856129,0.0005051949,0.0003192954],"domain_scores_gemma":[0.9966667,0.0008610944,0.0003161425,0.0009675098,0.0008802004,0.0003083975],"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":[0.0000686381,0.00002399609,0.001362183,0.001084535,0.0000344806,0.00003816051,0.00004061363,0.0003145109,0.0001522878,0.001492173,0.9909673,0.004421071],"study_design_scores_gemma":[0.0000923215,0.00001017035,0.001865375,0.0003763988,0.00002102129,0.00007546048,0.00008292836,0.0003617354,0.0002337785,0.001945678,0.9949138,0.00002132469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000167734,0.0002097238,0.0001576935,0.0001585453,0.00005744864,0.00002261293,0.9972503,0.0005437772,0.001432321],"genre_scores_gemma":[0.0002853946,0.0001231443,0.0004690393,0.00008056252,0.000007983094,0.00008955495,0.9982102,0.00008406043,0.0006499656],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08363397,"threshold_uncertainty_score":0.2797835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182109827012109,"score_gpt":0.3654669223008161,"score_spread":0.353645824030695,"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."}}