{"id":"W4250116648","doi":"10.1515/iupac.81.0350","title":"Estuarine","year":2016,"lang":"es","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":[0.0008103792,0.001890142,0.001269955,0.003771511,0.0008557437,0.002471952,0.002331402,0.001462903,0.05558884],"category_scores_gemma":[0.00439535,0.000536144,0.001365557,0.006140696,0.0003292202,0.00178461,0.002573612,0.001745476,0.08639391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001333298,"about_ca_system_score_gemma":0.001830861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03117692,"about_ca_topic_score_gemma":0.06508579,"domain_scores_codex":[0.9989027,0.0001557856,0.0001567628,0.0003700456,0.0002632106,0.0001516275],"domain_scores_gemma":[0.9978145,0.0004198602,0.0002643412,0.0005634042,0.000762203,0.0001757097],"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":[0.00008075396,0.00002182913,0.00317008,0.0008467104,0.00005240452,0.00005371833,0.00003657379,0.0005704198,0.0001536635,0.0007592376,0.9890401,0.005214515],"study_design_scores_gemma":[0.00008597592,0.00001324068,0.00730268,0.0003668232,0.00002833685,0.00007819265,0.000109231,0.0005366704,0.0002931421,0.0008906565,0.9902671,0.00002803456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002276091,0.00007840681,0.00005964307,0.00005081193,0.00002136743,0.000004971078,0.9984699,0.0002131383,0.0008741746],"genre_scores_gemma":[0.000353414,0.00004845799,0.0001699405,0.00002958604,0.000003606527,0.00002142458,0.9986385,0.0000293521,0.0007057132],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05558884,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071731548813113,"score_gpt":0.3596186189462081,"score_spread":0.3489013034580769,"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."}}