{"id":"W4242759350","doi":"10.1515/iupac.78.0495","title":"Predicted No-Effect Concentration (PNEC)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Pesticide; Relation (database); Chemical nomenclature; Computer science; Management science; Environmental chemistry; Data science; Chemistry; Engineering; Ecology; Data mining; Biology","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":[0.001618406,0.001955758,0.001798645,0.005319242,0.0006570588,0.002241658,0.00313624,0.002081396,0.06646342],"category_scores_gemma":[0.01100551,0.0006248468,0.001722293,0.007219703,0.0004507623,0.002079167,0.001576331,0.002199365,0.06452169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002041192,"about_ca_system_score_gemma":0.003009755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02293059,"about_ca_topic_score_gemma":0.03229288,"domain_scores_codex":[0.9979087,0.0002997893,0.0004308951,0.0006311566,0.0005779736,0.0001514257],"domain_scores_gemma":[0.9943071,0.002350472,0.000808547,0.0009575142,0.001391232,0.0001852356],"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":[0.0001061236,0.00002926059,0.002130019,0.002964048,0.00009331866,0.00004206972,0.00002329952,0.001014611,0.0001926596,0.001186899,0.985999,0.006218726],"study_design_scores_gemma":[0.0001660387,0.00002542598,0.004560843,0.0008748329,0.00006080587,0.00007690974,0.00004168761,0.0006002727,0.0003643453,0.002269608,0.990922,0.0000370491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007137274,0.0001242911,0.00008693716,0.00004250979,0.00001937782,0.000009707873,0.9990331,0.0001311903,0.0004814756],"genre_scores_gemma":[0.0005695839,0.0001861544,0.0004071947,0.00008584792,0.00000975079,0.00008803567,0.9980812,0.00005376218,0.0005185099],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06646342,"threshold_uncertainty_score":0.2223423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009335920863225839,"score_gpt":0.3334846608947578,"score_spread":0.324148740031532,"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."}}