{"id":"W4230419012","doi":"10.1515/iupac.81.0224","title":"Daphnia","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; Environmental risk assessment; Ecology; Computer science; Biology; Risk assessment; 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":[0.0007064615,0.001431615,0.001111819,0.002801748,0.0008641338,0.001799364,0.001770494,0.001296577,0.03612873],"category_scores_gemma":[0.002559464,0.0005367197,0.001043307,0.004073713,0.000394194,0.001145603,0.001741645,0.001571943,0.05579954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001400205,"about_ca_system_score_gemma":0.001847427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02348515,"about_ca_topic_score_gemma":0.04906157,"domain_scores_codex":[0.9990517,0.00009190887,0.0001179661,0.0003576828,0.0002374082,0.0001432342],"domain_scores_gemma":[0.9989902,0.0002237389,0.0001641704,0.0002611426,0.0002701271,0.00009050437],"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":[0.000143727,0.00004520014,0.004993642,0.001639117,0.00007728596,0.0000665338,0.00004334138,0.0006623031,0.000688774,0.000815585,0.9813996,0.009424993],"study_design_scores_gemma":[0.0001532778,0.00002559851,0.01349961,0.0003172302,0.00005691933,0.0001856964,0.000102945,0.0004957205,0.0007045558,0.001177955,0.9832473,0.00003325418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004646567,0.0001831278,0.00009034274,0.0000551973,0.00002845688,0.0000120142,0.9980854,0.0001953804,0.0008854959],"genre_scores_gemma":[0.0005636325,0.0001042503,0.0002974531,0.00005163683,0.000003358168,0.00003601935,0.9982407,0.00002015289,0.0006827457],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03612873,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009644996134184848,"score_gpt":0.3580773285368664,"score_spread":0.3484323324026815,"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."}}