{"id":"W4250093196","doi":"10.1515/iupac.81.0059","title":"Ambient","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; Relation (database); Environmental risk assessment; Ecology; Computer science; Environmental science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001224477,0.0002659685,0.0002497305,0.00001477738,0.00004370792,0.00001801344,0.0003797368,0.0002291475,0.0363197],"category_scores_gemma":[0.0001342712,0.0002039342,0.0001019999,0.00009453317,0.0001277446,0.00004733566,0.0003288675,0.0002956432,0.00002267597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005758045,"about_ca_system_score_gemma":0.00003202434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005121595,"about_ca_topic_score_gemma":0.00004548804,"domain_scores_codex":[0.9983717,0.00000742977,0.0002231773,0.0003797098,0.0006984997,0.0003195403],"domain_scores_gemma":[0.9991938,0.00002754967,0.00007419803,0.0005154985,0.00001273327,0.0001761962],"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":[0.00001481125,0.00006704571,0.000004522218,0.00003774977,0.00001246132,0.00002442556,0.000001757176,0.00002185257,0.0033023,2.615332e-7,0.9954913,0.001021467],"study_design_scores_gemma":[0.0002415188,0.0000208159,0.000009648364,0.00009806988,0.00002393592,0.000009357414,0.000001890852,0.000007705225,0.004122154,0.00003749153,0.9951349,0.0002925168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005965181,0.00005398688,0.00007055245,0.0001614114,0.000204663,0.00006609402,0.9984174,0.00004856736,0.0003807732],"genre_scores_gemma":[0.0001286408,0.0001398301,0.00002849133,0.00012141,0.000342216,0.000007132344,0.9983869,0.00001823519,0.000827148],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03629702,"threshold_uncertainty_score":0.9645612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00564130207272742,"score_gpt":0.3192929871227834,"score_spread":0.313651685050056,"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."}}