{"id":"W4240360255","doi":"10.1515/iupac.81.0213","title":"Corrosive","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","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; 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":[0.0005782786,0.001454797,0.001055694,0.003767408,0.0009516566,0.002346397,0.001918724,0.001590375,0.08177744],"category_scores_gemma":[0.006844151,0.0004691118,0.001340668,0.005007578,0.0003330434,0.002333304,0.002094331,0.001641495,0.07839666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228894,"about_ca_system_score_gemma":0.001510925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02179144,"about_ca_topic_score_gemma":0.04897935,"domain_scores_codex":[0.998834,0.0001567485,0.0002357817,0.0003141901,0.0003187942,0.0001406611],"domain_scores_gemma":[0.9975799,0.0005796046,0.0004723373,0.000522826,0.0006841004,0.0001612482],"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":[0.0001688869,0.0000368814,0.00723949,0.002561974,0.00006028828,0.00009385851,0.00006475381,0.0003449057,0.000173183,0.001600315,0.9690952,0.0185602],"study_design_scores_gemma":[0.00005686423,0.00001831902,0.009332507,0.0007585955,0.00003562486,0.0002155271,0.0001551315,0.0002565602,0.0002233907,0.001324799,0.9875988,0.00002384752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008852836,0.0006473847,0.0001970854,0.0001979581,0.00008726897,0.00003426758,0.9920061,0.0002767497,0.005667904],"genre_scores_gemma":[0.001972227,0.0004717275,0.0005601171,0.0002151337,0.00002106898,0.00006829105,0.9932586,0.00005794945,0.003375036],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08177744,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005273909765324163,"score_gpt":0.3215105069857432,"score_spread":0.316236597220419,"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."}}