{"id":"W4250113118","doi":"10.1515/iupac.78.0152","title":"Assay","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Management science; Data science; Chemistry; Engineering; Data mining; 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":[0.0006981761,0.0003161806,0.000544633,0.00002427205,0.000161545,0.00006889869,0.0005237475,0.0003402017,0.01653354],"category_scores_gemma":[0.000454634,0.00008663035,0.0003004334,0.0002449611,0.00007704087,0.00005770328,0.0001494564,0.0002686097,0.000009800962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001211887,"about_ca_system_score_gemma":0.00007757209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005008233,"about_ca_topic_score_gemma":0.008182399,"domain_scores_codex":[0.9977417,0.0001491643,0.0003817817,0.0004597757,0.0008674917,0.0004000922],"domain_scores_gemma":[0.9988294,0.0003077706,0.000216238,0.0001832872,0.0002839523,0.0001793453],"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":[0.00002549343,0.00008234542,0.00003155369,0.00000845971,0.00005647596,0.00003209219,4.511756e-7,2.107894e-7,0.0002391783,0.000005430048,0.9586924,0.04082586],"study_design_scores_gemma":[0.0001044449,0.0001324228,0.00129191,0.0001039715,0.00009922855,0.000005767381,0.000006393724,0.000001667197,0.0000141514,0.0001841415,0.9977508,0.0003051112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005222078,0.0005543526,0.000005702196,0.002148689,0.000174774,0.00009905562,0.9963503,0.00004356519,0.0001013937],"genre_scores_gemma":[0.0001937091,0.00144613,0.000004782587,0.000370964,0.001472397,0.000005648852,0.9959964,0.000001207702,0.0005087294],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04052075,"threshold_uncertainty_score":0.9843655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580636239119169,"score_gpt":0.3552674254147053,"score_spread":0.3394610630235136,"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."}}