{"id":"W4298350717","doi":"10.1515/iupac.78.0260","title":"Ecotoxicologically (Environmentally) Relevant Concentration (ERC)","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; Chemical nomenclature; Relation (database); Pesticide; Computer science; Management science; Environmental chemistry; Data science; Chemistry; Engineering; Ecology; Biology; Data mining","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":[0.001351327,0.001689415,0.00164048,0.006259759,0.000662843,0.002196599,0.002525981,0.001522074,0.06724587],"category_scores_gemma":[0.007456421,0.0005578931,0.001397497,0.01111056,0.0004774969,0.002139146,0.001885935,0.001995129,0.05665758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002101836,"about_ca_system_score_gemma":0.002834788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02273181,"about_ca_topic_score_gemma":0.03561737,"domain_scores_codex":[0.9984887,0.0002073157,0.0003632904,0.0004051955,0.0004033502,0.0001321871],"domain_scores_gemma":[0.9962521,0.001256375,0.0006941386,0.0006152958,0.00101742,0.0001645995],"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":[0.00006654299,0.00001979908,0.001830157,0.00412928,0.00006092734,0.00004571087,0.00004963723,0.0004758898,0.0002527455,0.001558494,0.9853748,0.006135975],"study_design_scores_gemma":[0.00005816032,0.000008701137,0.003300676,0.0007302393,0.00003083879,0.00005048282,0.00004834248,0.0001153663,0.000181797,0.001070302,0.994387,0.00001816229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000617951,0.0001281956,0.00006222663,0.00003517307,0.00001189262,0.00000924664,0.9989669,0.00006413129,0.0006603724],"genre_scores_gemma":[0.0004253964,0.0002463911,0.0003614835,0.00007335055,0.000005972056,0.00009196044,0.9981986,0.00003564424,0.0005613024],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06724587,"threshold_uncertainty_score":0.2249599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222582163029312,"score_gpt":0.3356810105126276,"score_spread":0.3234551888823345,"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."}}