{"id":"W4254389786","doi":"10.1515/iupac.78.0572","title":"Sorption","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; Pesticide; Relation (database); Computer science; Environmental chemistry; Management science; Data science; Chemistry; Engineering; Ecology; Data mining; Biology; Organic chemistry","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":[0.0003794392,0.0002629879,0.0004288092,0.00002314239,0.000140916,0.00005725201,0.000367355,0.0002979829,0.01248621],"category_scores_gemma":[0.0002119501,0.00007420098,0.0002490443,0.0002049116,0.00006168615,0.00006214796,0.0001037173,0.0002106667,0.000009109689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001175337,"about_ca_system_score_gemma":0.00005595626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004411781,"about_ca_topic_score_gemma":0.006920776,"domain_scores_codex":[0.998144,0.00008703503,0.0003350826,0.0003948833,0.000716486,0.0003224659],"domain_scores_gemma":[0.9991319,0.0001410278,0.0002010562,0.0001444647,0.0002464126,0.0001350999],"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":[0.00003076154,0.00007301583,0.00002188193,0.000008524591,0.00003831083,0.00001498656,4.935496e-7,3.050551e-7,0.0006241488,0.000004452605,0.9620314,0.03715177],"study_design_scores_gemma":[0.000103265,0.0001400685,0.001574689,0.00009750095,0.00008683417,0.000004723779,0.000006612193,0.000001999085,0.00001903393,0.0002310906,0.9974796,0.0002546176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002118037,0.0004158826,0.000005553231,0.001463128,0.000153774,0.00009596672,0.9956645,0.00004042956,0.00004269497],"genre_scores_gemma":[0.0003133577,0.001876244,0.000002813227,0.0002603697,0.00142876,0.000005376654,0.9957986,9.783008e-7,0.0003134436],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03689715,"threshold_uncertainty_score":0.9884165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605804027402202,"score_gpt":0.3555179785528675,"score_spread":0.3394599382788455,"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."}}