{"id":"W4232535172","doi":"10.1515/iupac.81.0309","title":"Elutriate","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; Relation (database); Computer science; Ecology; Biology; Data mining; Linguistics; Philosophy","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":[0.001702525,0.002128435,0.001328602,0.004368148,0.001136853,0.003573204,0.003330292,0.002041613,0.07352176],"category_scores_gemma":[0.01062153,0.000654569,0.00190959,0.006063927,0.0005536621,0.002637375,0.003291625,0.002466178,0.1476354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001895209,"about_ca_system_score_gemma":0.002653343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01637051,"about_ca_topic_score_gemma":0.04247048,"domain_scores_codex":[0.998087,0.0003838575,0.0002374503,0.0006334013,0.0004029835,0.0002552854],"domain_scores_gemma":[0.9971486,0.0007740523,0.0002589086,0.0008537318,0.0007108711,0.0002539406],"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":[0.00007757051,0.00002604472,0.001213639,0.0006461366,0.00002775795,0.00002386217,0.00003403571,0.0002834029,0.00007610094,0.0008813487,0.9923438,0.00436625],"study_design_scores_gemma":[0.0001729176,0.00001839106,0.002085028,0.00038601,0.00002199193,0.00007460393,0.00009760373,0.0006350288,0.0002773469,0.002220056,0.9939886,0.00002233693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002520432,0.0001910531,0.0002051267,0.0001979563,0.00006292416,0.00002429056,0.9964908,0.0008535999,0.001722203],"genre_scores_gemma":[0.0003890239,0.0001005494,0.0005287821,0.0001104114,0.000009644799,0.00008495591,0.9977497,0.0001117914,0.000915071],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07352176,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013251585054034,"score_gpt":0.3591630698000418,"score_spread":0.3490305539495014,"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."}}