{"id":"W4238301491","doi":"10.1515/iupac.78.0579","title":"Sticker","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Biomedical and Chemical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Pesticide; Management science; Chemistry; Ecology; Engineering; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001151232,0.001740395,0.001324771,0.005263892,0.0008997271,0.003610748,0.002357506,0.001890332,0.222668],"category_scores_gemma":[0.01078844,0.000701645,0.00148284,0.009053099,0.0004236892,0.003073753,0.002672663,0.001858092,0.2515557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537765,"about_ca_system_score_gemma":0.002718982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01486525,"about_ca_topic_score_gemma":0.0357369,"domain_scores_codex":[0.9985706,0.000229007,0.0002846117,0.0004699285,0.0002922087,0.0001536572],"domain_scores_gemma":[0.9963549,0.001258532,0.0004364434,0.0008261623,0.0008278205,0.0002960226],"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":[0.00003752378,0.000008415002,0.000411084,0.0006929386,0.00001665449,0.00001519185,0.00002160928,0.00009728381,0.00005669711,0.000657825,0.9946622,0.003322632],"study_design_scores_gemma":[0.00007032764,0.000008505268,0.001308833,0.0003819944,0.00001264207,0.00004449494,0.00004775718,0.000133253,0.00009775319,0.001578097,0.9962999,0.00001639283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004969832,0.00009127531,0.00009149588,0.00008849093,0.00002856208,0.00001486459,0.9980134,0.0003919514,0.00123028],"genre_scores_gemma":[0.0002278393,0.0001174002,0.0003659649,0.0001283766,0.00001098556,0.00007652941,0.9978949,0.0001386561,0.001039362],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.222668,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02337004766255388,"score_gpt":0.4693685010344602,"score_spread":0.4459984533719063,"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."}}