{"id":"W4247562466","doi":"10.1515/iupac.81.0574","title":"Median Effective Dose","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; Relation (database); 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":[0.001767037,0.001566785,0.002191903,0.00331879,0.0004827006,0.002516191,0.003438975,0.001737406,0.07750557],"category_scores_gemma":[0.01410277,0.0004218139,0.002500946,0.003683229,0.0003477262,0.00218135,0.001216308,0.002303191,0.0617449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001944087,"about_ca_system_score_gemma":0.001859335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009952545,"about_ca_topic_score_gemma":0.01320099,"domain_scores_codex":[0.9980295,0.0002538035,0.0003754982,0.0007167534,0.0004826405,0.000141729],"domain_scores_gemma":[0.9954913,0.001841762,0.000658731,0.0008340429,0.000990766,0.0001833777],"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":[0.000587688,0.00008806073,0.007319994,0.003113207,0.0003529198,0.00005554874,0.00002543614,0.0022371,0.0002410106,0.001625115,0.9529995,0.03135446],"study_design_scores_gemma":[0.0007936503,0.0001480861,0.01553229,0.00123102,0.0003561535,0.000507939,0.0000919861,0.002084483,0.001054628,0.008224188,0.9698812,0.00009443773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005194811,0.0007264239,0.0003439771,0.000155675,0.00007900631,0.00004503606,0.9955602,0.0003257589,0.002244489],"genre_scores_gemma":[0.00516055,0.0008709894,0.001468283,0.0003869397,0.00006724594,0.0002366552,0.9888919,0.0001553527,0.002762117],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07750557,"threshold_uncertainty_score":0.259282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006611237399777877,"score_gpt":0.3505902215839357,"score_spread":0.3439789841841578,"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."}}