{"id":"W4244667877","doi":"10.1515/iupac.78.0611","title":"Threshold","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; Chemical nomenclature; Relation (database); Computer science; Pesticide; Management science; Data science; Ecology; Chemistry; Engineering; Data mining; Biology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001267093,0.001868787,0.001407091,0.005705653,0.001241329,0.003886948,0.00299076,0.002013544,0.1434387],"category_scores_gemma":[0.01256515,0.0006633941,0.001703559,0.009052564,0.0004755441,0.003428203,0.002390827,0.002246837,0.1455275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002402703,"about_ca_system_score_gemma":0.00349649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02820959,"about_ca_topic_score_gemma":0.05702462,"domain_scores_codex":[0.9978588,0.0003133098,0.0004479485,0.0007086179,0.000436531,0.0002347148],"domain_scores_gemma":[0.9956227,0.001371183,0.0005440912,0.0009604462,0.001254103,0.0002475297],"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":[0.0000604806,0.00001466723,0.001021669,0.0009569211,0.00002434818,0.00002565669,0.00003901191,0.0001691484,0.00009334681,0.00118246,0.9919751,0.004437106],"study_design_scores_gemma":[0.00008071297,0.00001134855,0.00280633,0.0006299249,0.00002452739,0.0000766967,0.0001120587,0.0002252956,0.0001724718,0.002500672,0.9933303,0.00002978925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001040694,0.0001076057,0.0001076909,0.00009473145,0.00002459556,0.00001849817,0.9980221,0.0001913609,0.001329352],"genre_scores_gemma":[0.0003715823,0.000106594,0.0004066885,0.00009903443,0.000008234162,0.0001227607,0.9978426,0.00008100255,0.0009615362],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8565613,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0204179899693156,"score_gpt":0.4171378161450166,"score_spread":0.396719826175701,"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."}}