{"id":"W4244889775","doi":"10.1515/iupac.88.1510","title":"Zinc Finger","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; Data mining; Philosophy","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":[0.0002317249,0.0003483546,0.0004280494,0.00001262338,0.0008619417,0.0001635621,0.000751746,0.0004924444,0.005847939],"category_scores_gemma":[0.0001961707,0.0001020512,0.0002620613,0.0001280934,0.0001554492,0.0001291646,0.0002259501,0.000418706,0.00001451816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001063899,"about_ca_system_score_gemma":0.00005503286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006238577,"about_ca_topic_score_gemma":0.01233886,"domain_scores_codex":[0.9981383,0.00005622049,0.0003079085,0.000438016,0.0006860583,0.0003734786],"domain_scores_gemma":[0.9988943,0.0001017481,0.0003324078,0.0002177484,0.0002905318,0.0001632206],"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":[0.00002356626,0.0001081867,0.00001181256,0.00001343278,0.00003359113,0.00001625562,0.000002649867,0.000001591304,0.0001439248,0.000005193953,0.9856086,0.01403119],"study_design_scores_gemma":[0.0001112188,0.0001347949,0.0106235,0.0001133181,0.00006561138,0.0000129626,0.00001931737,0.000001594315,0.000007111902,0.0001359431,0.9884045,0.0003701659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001508222,0.0004972603,8.235912e-7,0.003999394,0.0005577281,0.0002249989,0.9930394,0.00006796718,0.0001042089],"genre_scores_gemma":[0.000405835,0.0005423046,0.00001134505,0.0001849524,0.002350853,0.000009645089,0.9943373,0.000001149085,0.00215663],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01366102,"threshold_uncertainty_score":0.9950609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110277027032334,"score_gpt":0.3696646109523292,"score_spread":0.3485618406820059,"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."}}