{"id":"W4237745328","doi":"10.1515/iupac.78.0254","title":"Dose–Response Relationship","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Pesticide; Chemical nomenclature; Computer science; Field (mathematics); Management science; Data science; Ecology; Chemistry; Engineering; Biology; Data mining; Mathematics","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":[0.002017472,0.001668703,0.001975965,0.004780773,0.0005729836,0.002094314,0.002820748,0.001859862,0.1250225],"category_scores_gemma":[0.01795077,0.0006439307,0.002821404,0.007352759,0.0003169744,0.001706836,0.001395893,0.001791485,0.05580705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002291996,"about_ca_system_score_gemma":0.002914364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01673485,"about_ca_topic_score_gemma":0.03021378,"domain_scores_codex":[0.9973056,0.000466567,0.0006922514,0.0007876327,0.000591037,0.0001569242],"domain_scores_gemma":[0.9908069,0.004627509,0.00143179,0.001291425,0.001635977,0.0002063715],"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":[0.0002962972,0.00005496173,0.004412266,0.00784076,0.0003093587,0.000053428,0.00003767189,0.0007715951,0.0002860974,0.001398843,0.9712224,0.01331646],"study_design_scores_gemma":[0.0002757581,0.00004393884,0.008311579,0.001667028,0.0002115793,0.0001456366,0.00003946872,0.0002865454,0.0003045493,0.00199925,0.9866707,0.00004388624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001119312,0.0003601678,0.0001098813,0.00007008296,0.00002376897,0.00002879542,0.9983872,0.00009224918,0.0008159223],"genre_scores_gemma":[0.001330234,0.0006854188,0.000709381,0.0002893528,0.00002015527,0.0003487183,0.9949882,0.000071796,0.001556802],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1250225,"threshold_uncertainty_score":0.418242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814324355119444,"score_gpt":0.3674870292135813,"score_spread":0.3493437856623869,"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."}}