{"id":"W4251938180","doi":"10.1515/iupac.81.0882","title":"Surfactant","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Chemistry and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Ecology; Environmental science; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002860055,0.0003992009,0.0004247891,0.00002913045,0.0001236566,0.0000300489,0.0005439948,0.0002820024,0.1273759],"category_scores_gemma":[0.00008770341,0.0002917,0.0002180589,0.0001450235,0.0003440689,0.0001034991,0.00046181,0.0003232232,0.00009171548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008121768,"about_ca_system_score_gemma":0.00003566559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001787205,"about_ca_topic_score_gemma":0.0003784559,"domain_scores_codex":[0.9974175,0.00004281684,0.000351086,0.0006162862,0.001162411,0.0004098733],"domain_scores_gemma":[0.9987789,0.00004151019,0.0001984042,0.0008062244,0.000008206346,0.0001667038],"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":[0.00002341455,0.0001506298,0.0002427395,0.00002125571,0.00004824912,0.00005820546,0.000002344589,0.00001381422,0.0009121192,1.682082e-7,0.9974363,0.001090724],"study_design_scores_gemma":[0.0002652672,0.00004504104,0.0001426882,0.0000676243,0.000113346,0.000009256367,0.000007929797,0.000002480585,0.000736793,0.00007762695,0.9981166,0.0004153338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002015112,0.00009889501,0.00002421751,0.0002824041,0.0001150609,0.00008703925,0.996852,0.00003169123,0.0004936156],"genre_scores_gemma":[0.00028505,0.0007206383,0.00003393449,0.0002300293,0.0002223374,0.000006066533,0.9960679,0.00002467164,0.002409397],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1272842,"threshold_uncertainty_score":0.9999535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006868750848428537,"score_gpt":0.3352373977266493,"score_spread":0.3283686468782208,"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."}}