{"id":"W4231103221","doi":"10.1515/iupac.88.0426","title":"Allele","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001687825,0.001479452,0.001284835,0.003572489,0.001047447,0.003723617,0.002555396,0.001932884,0.2888181],"category_scores_gemma":[0.01611483,0.0006526504,0.001592782,0.006813393,0.0004068181,0.00332168,0.002582464,0.001765258,0.2902313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762055,"about_ca_system_score_gemma":0.003206184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01856971,"about_ca_topic_score_gemma":0.02837583,"domain_scores_codex":[0.9973138,0.0004220786,0.000551977,0.0008719047,0.0005593497,0.000280877],"domain_scores_gemma":[0.9931067,0.001769571,0.0007294932,0.001688842,0.002338066,0.0003673701],"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":[0.00008406263,0.0000109323,0.0009664358,0.0008067185,0.00002092329,0.00001404152,0.00002350419,0.00006388022,0.00005384869,0.0009213923,0.9909394,0.006094912],"study_design_scores_gemma":[0.0001042365,0.0000113651,0.002689451,0.0006270945,0.00001972821,0.00004987699,0.00007436939,0.00008453098,0.0001152405,0.00145212,0.9947523,0.00001973683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008923702,0.00008428962,0.0001130369,0.0001197957,0.00004521376,0.00002809387,0.9965408,0.0002554017,0.002724058],"genre_scores_gemma":[0.0003756947,0.0001210972,0.0003614785,0.0002327728,0.0000185539,0.0001550473,0.9960923,0.0001258302,0.002517238],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2888181,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489601184161362,"score_gpt":0.4695129709612519,"score_spread":0.4446169591196383,"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."}}