{"id":"W4253370165","doi":"10.1515/iupac.81.0240","title":"Desiccant","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Ecology; Computer science; Risk assessment; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005890544,0.000316133,0.0004223675,0.00006689171,0.0001254242,0.00005212997,0.0005206916,0.0002075671,0.0129575],"category_scores_gemma":[0.0001522953,0.0002155901,0.0001811089,0.0001740903,0.0002022658,0.00008043511,0.0003346073,0.000257982,0.0000630813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006360877,"about_ca_system_score_gemma":0.00006551708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001611664,"about_ca_topic_score_gemma":0.0002479486,"domain_scores_codex":[0.9974604,0.0001049829,0.0003514373,0.0005109557,0.001167506,0.0004046911],"domain_scores_gemma":[0.9987939,0.00004751522,0.0001667869,0.0007780659,0.00002827269,0.0001854586],"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":[0.00001649998,0.00009161737,0.00008575858,0.00001852203,0.00004768772,0.00003447758,0.000008133158,0.000006323086,0.0000941968,3.735648e-7,0.9967817,0.002814729],"study_design_scores_gemma":[0.0002149712,0.00005772365,0.00009102842,0.0001044599,0.0001082271,0.000003610323,0.000008362916,0.000001837212,0.0002488846,0.0001250573,0.9987032,0.0003326405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00064398,0.00006137339,0.00009745166,0.0004985017,0.0004179433,0.00007779738,0.9981053,0.00004819849,0.00004941807],"genre_scores_gemma":[0.0001054465,0.0001959451,0.0000668929,0.00008746408,0.0007329116,0.000006963449,0.9968986,0.00002170566,0.001884091],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01289442,"threshold_uncertainty_score":0.9879448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827228049911259,"score_gpt":0.3855710492081319,"score_spread":0.3672987687090193,"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."}}