{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001478739,0.001602305,0.001577337,0.00487928,0.001095286,0.003493627,0.00265071,0.002042269,0.1398557],"category_scores_gemma":[0.01334404,0.0006895313,0.001649849,0.008246211,0.0004433976,0.00309867,0.003158495,0.001903521,0.1789355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268437,"about_ca_system_score_gemma":0.002935858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01232722,"about_ca_topic_score_gemma":0.0305538,"domain_scores_codex":[0.9981184,0.0003481973,0.0004168276,0.0005593906,0.0003478081,0.0002095004],"domain_scores_gemma":[0.9960309,0.001479929,0.000416744,0.0009204164,0.0008842611,0.0002677424],"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":[0.0001227198,0.00001530443,0.001289159,0.002222753,0.0000392987,0.00003870419,0.00004911307,0.0001762503,0.000168512,0.001208315,0.9873723,0.00729762],"study_design_scores_gemma":[0.0001014719,0.00001359279,0.002355496,0.0007435614,0.00002592607,0.0000680757,0.00007585266,0.0001583011,0.00017714,0.001733947,0.9945214,0.00002524587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001066023,0.0001951382,0.0001466396,0.00012699,0.00003885766,0.00002279019,0.9970386,0.0004114098,0.001913011],"genre_scores_gemma":[0.0004211128,0.0002405201,0.0005988175,0.0002038332,0.00001200868,0.0001321007,0.9969401,0.000139065,0.001312313],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1398557,"threshold_uncertainty_score":0.467864,"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."}}