{"id":"W4252995756","doi":"10.1515/iupac.78.0129","title":"Adsorption","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; Pesticide; Environmental chemistry; Management science; Chemistry; Ecology; Engineering; Biology; Data mining","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":[0.0003785921,0.0002705279,0.0004392953,0.00002405167,0.0001086189,0.00005617657,0.0003788273,0.0003047975,0.01337081],"category_scores_gemma":[0.0002285285,0.00007673789,0.0002534125,0.0002174484,0.00006058325,0.00006378469,0.0001057287,0.0002177995,0.000009276541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001206691,"about_ca_system_score_gemma":0.0000564523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000443002,"about_ca_topic_score_gemma":0.007308224,"domain_scores_codex":[0.9980986,0.00009107438,0.0003444947,0.0004059176,0.0007330516,0.0003268282],"domain_scores_gemma":[0.9990959,0.0001476968,0.0002072206,0.0001502888,0.0002576739,0.0001412587],"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":[0.00003411349,0.0000754877,0.00002391883,0.000008784791,0.00003917726,0.00001257068,4.849938e-7,3.118714e-7,0.0008744014,0.000004138118,0.9675421,0.03138457],"study_design_scores_gemma":[0.000106824,0.000151332,0.001829995,0.000107321,0.00008951126,0.000005040333,0.00000620265,0.000002252901,0.00002104512,0.0001926774,0.9972261,0.0002617461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002481586,0.0004543253,0.000004761458,0.001334289,0.0001580156,0.0001023863,0.9953803,0.00004175914,0.00004258785],"genre_scores_gemma":[0.0004879756,0.002003472,0.00000334484,0.000263943,0.001429742,0.000005962458,0.9955013,0.00000102083,0.0003032112],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03112283,"threshold_uncertainty_score":0.9875311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01610484607467437,"score_gpt":0.3511865227699706,"score_spread":0.3350816766952962,"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."}}