{"id":"W4246155115","doi":"10.1515/iupac.78.0241","title":"Desorption","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Organochlorine pesticide; Chemical nomenclature; Pesticide; Environmental chemistry; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001260946,0.001901857,0.001219041,0.004323808,0.001054361,0.003040465,0.002736605,0.002017169,0.1875089],"category_scores_gemma":[0.008462927,0.0005780535,0.001576191,0.006806574,0.0004159854,0.002993445,0.002364469,0.001780784,0.2182917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002118577,"about_ca_system_score_gemma":0.00276686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0271767,"about_ca_topic_score_gemma":0.04946138,"domain_scores_codex":[0.998116,0.0002895521,0.000304381,0.0006553908,0.0004207438,0.0002139342],"domain_scores_gemma":[0.9966598,0.0007782098,0.0003786125,0.0007916167,0.00117149,0.0002202508],"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":[0.00006639311,0.00001591583,0.001024123,0.000725681,0.0000198288,0.00002055753,0.00003025085,0.0001495828,0.0001176159,0.0009684924,0.9912048,0.005656813],"study_design_scores_gemma":[0.00006536945,0.000009946555,0.002304349,0.0004238169,0.00001581681,0.0000473311,0.00008588245,0.0001740914,0.0001926904,0.001488196,0.9951715,0.00002092759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009138686,0.000076386,0.0001009154,0.00009339082,0.00002237473,0.0000174004,0.9979047,0.0002283176,0.001465138],"genre_scores_gemma":[0.0003000119,0.00007964047,0.0003240105,0.0001148391,0.00000796339,0.0000941352,0.997617,0.0000675414,0.001394971],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1875089,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872669430339516,"score_gpt":0.4241626585122276,"score_spread":0.4054359642088324,"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."}}