{"id":"W4236842867","doi":"10.1515/iupac.81.0307","title":"Effluent","year":2016,"lang":"fr","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); Environmental science; Computer science; Environmental chemistry; Ecology; Risk assessment; Biology; Chemistry; 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":[0.001497062,0.001610176,0.001184381,0.003443812,0.001029842,0.00301167,0.002674976,0.001991105,0.114777],"category_scores_gemma":[0.009590937,0.0005331928,0.001532331,0.005183282,0.0003990596,0.002301474,0.002457859,0.002052212,0.1871707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001984649,"about_ca_system_score_gemma":0.002518552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01812517,"about_ca_topic_score_gemma":0.03775089,"domain_scores_codex":[0.9976801,0.000410721,0.0002921302,0.0007721607,0.0005627919,0.0002820761],"domain_scores_gemma":[0.9967709,0.0006976731,0.0003338208,0.0008896549,0.001023931,0.0002841735],"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":[0.00007270014,0.00002264143,0.001550925,0.000581736,0.00002154888,0.00002131847,0.0000238675,0.0002084831,0.00009064486,0.0008460737,0.9906589,0.005901083],"study_design_scores_gemma":[0.00009144792,0.0000148731,0.003030434,0.000319255,0.00001508441,0.00006299172,0.00007798456,0.0002968298,0.0002224497,0.001359579,0.9944916,0.00001751738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002240293,0.0001253594,0.000113752,0.0001564497,0.00005773892,0.00002049551,0.9967605,0.0003211962,0.002220489],"genre_scores_gemma":[0.0004009167,0.00006715953,0.0002768069,0.00009905874,0.000008896559,0.00005356993,0.9976982,0.00004516426,0.00135023],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.114777,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071090256998763,"score_gpt":0.3553249380405151,"score_spread":0.3446140354705274,"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."}}