{"id":"W4232442374","doi":"10.1515/iupac.87.0706","title":"Vertebra","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Chemistry; Linguistics; Philosophy; Data mining; Organic chemistry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003351283,0.0004463195,0.0005389324,0.0001492228,0.0001243535,0.0000585965,0.0005688189,0.0002554406,0.006893411],"category_scores_gemma":[0.0007593866,0.0003210582,0.0001776841,0.0001036978,0.0001574295,0.00009456336,0.0002663305,0.0004844478,0.00003827649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002312132,"about_ca_system_score_gemma":0.0003283896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001544681,"about_ca_topic_score_gemma":0.00007027653,"domain_scores_codex":[0.9976924,0.0001045199,0.0003882394,0.0005705072,0.0008091847,0.0004351185],"domain_scores_gemma":[0.9984211,0.0001762395,0.0002581466,0.0007206138,0.0002700824,0.0001537993],"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":[0.0005419373,0.0001404291,0.000009202264,0.00009614701,0.00009817368,0.0005708079,0.000008481162,5.538191e-8,0.00004343977,0.00001167595,0.9942607,0.004218922],"study_design_scores_gemma":[0.0005791304,0.001265376,0.00008348135,0.0006782908,0.00006262881,0.000109737,0.00001535047,0.000005578396,0.000006892747,0.0002613788,0.9964845,0.0004476761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008650456,0.0005078876,0.00007428102,0.000222052,0.0007730778,0.0001447632,0.996836,0.0001949405,0.0003819179],"genre_scores_gemma":[0.0002977493,0.000295964,0.00008373206,0.000228266,0.002068869,0.00001004828,0.9957886,0.0000559162,0.001170869],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006855134,"threshold_uncertainty_score":0.9999241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09341892424564942,"score_gpt":0.5007230413392945,"score_spread":0.4073041170936451,"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."}}