{"id":"W4230140779","doi":"10.1515/iupac.81.0778","title":"Ring Test","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; Environmental risk assessment; Relation (database); Computer science; Ecology; Risk assessment; 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":[0.001939362,0.00182295,0.001481193,0.002881295,0.001157774,0.00330682,0.003887707,0.002143614,0.1415873],"category_scores_gemma":[0.01503633,0.0005221412,0.001822034,0.003391133,0.000529897,0.002800874,0.002420858,0.002223967,0.1553155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166756,"about_ca_system_score_gemma":0.002921021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01249112,"about_ca_topic_score_gemma":0.03175851,"domain_scores_codex":[0.9974941,0.0004339611,0.0003297289,0.0008175718,0.0006281637,0.0002964417],"domain_scores_gemma":[0.9934992,0.00196123,0.000623272,0.00195781,0.001515799,0.0004427104],"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":[0.0002228016,0.00004124655,0.002658905,0.0007566964,0.00005198918,0.00004072661,0.00001969981,0.0004017855,0.00008658334,0.001344165,0.985392,0.008983346],"study_design_scores_gemma":[0.000289643,0.00005365321,0.004906965,0.0005367187,0.0000500371,0.0001569412,0.0001011134,0.0009148967,0.0004818246,0.004181921,0.9882861,0.00004032318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004858559,0.0002419083,0.0002842914,0.0002611772,0.0001064038,0.0000528434,0.9929159,0.0008772818,0.004774407],"genre_scores_gemma":[0.001603147,0.0001719768,0.0008151894,0.0002799486,0.00002875362,0.0001419076,0.993682,0.0001908418,0.003086237],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1415873,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00980831903032492,"score_gpt":0.3485784730930326,"score_spread":0.3387701540627077,"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."}}