{"id":"W4244779470","doi":"10.1515/iupac.88.0561","title":"Canal","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Agricultural safety and regulations","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; 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":[0.000188986,0.00030128,0.000378117,0.00001122724,0.000788921,0.0001327915,0.000692572,0.0003977312,0.005313803],"category_scores_gemma":[0.0001435405,0.00008661715,0.0002196265,0.0001159548,0.0001357943,0.00009916158,0.0001672873,0.0003759743,0.00000703614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001318526,"about_ca_system_score_gemma":0.00008336121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003648654,"about_ca_topic_score_gemma":0.09462205,"domain_scores_codex":[0.9983014,0.00004819424,0.0002678285,0.0003743724,0.0006651208,0.0003430214],"domain_scores_gemma":[0.9990141,0.0000687336,0.0002863551,0.0001773419,0.0002755518,0.0001778724],"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":[0.00002050023,0.00007354067,0.00001507617,0.000009546045,0.00003355901,0.00001898702,0.000001698991,0.000001677442,0.00007334284,0.000004502886,0.9887265,0.01102109],"study_design_scores_gemma":[0.00009306646,0.0001142088,0.01357292,0.00007756368,0.00006397549,0.0000156342,0.00002241693,0.000001516148,0.000003759852,0.00009209708,0.9856281,0.0003147355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001369664,0.0003672798,5.571997e-7,0.003497625,0.0004842464,0.0001866445,0.9939684,0.00004835172,0.00007727209],"genre_scores_gemma":[0.0004857215,0.0003754152,0.000006243434,0.0001487871,0.002182428,0.00000705005,0.9953396,8.118612e-7,0.001453974],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09097339,"threshold_uncertainty_score":0.9955955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935160700351156,"score_gpt":0.3721176730119058,"score_spread":0.3527660660083942,"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."}}