{"id":"W4238176747","doi":"10.1515/iupac.87.0078","title":"Ataxia","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); Computer science; Psychology; 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":[0.00100048,0.001304659,0.001113665,0.002880117,0.0008709237,0.003072482,0.002211213,0.001649331,0.1842885],"category_scores_gemma":[0.009255989,0.0004791688,0.001264942,0.004950189,0.0003270177,0.002086057,0.001897651,0.001331261,0.2303201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574683,"about_ca_system_score_gemma":0.002383569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01755823,"about_ca_topic_score_gemma":0.03481554,"domain_scores_codex":[0.9983039,0.0002506272,0.0003270603,0.0005894656,0.0003352601,0.0001937682],"domain_scores_gemma":[0.9965941,0.0007283707,0.0003900119,0.0008230922,0.001239753,0.0002246172],"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":[0.0001236681,0.00001686421,0.001882512,0.0008269168,0.0000276738,0.00002491456,0.00002514258,0.0001235738,0.00009280838,0.0008341267,0.9875578,0.008463926],"study_design_scores_gemma":[0.0001095607,0.00001631704,0.004084783,0.0004800165,0.00002271232,0.00008149994,0.00007614124,0.0001771726,0.0002002284,0.001260378,0.9934709,0.00002017838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001682355,0.0001141152,0.0001058767,0.0001161748,0.00004172362,0.00002379497,0.9958449,0.0003674521,0.003217636],"genre_scores_gemma":[0.0005487937,0.0001205352,0.0003196643,0.0001654714,0.00001174448,0.00007197501,0.9961172,0.0000700372,0.002574652],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1842885,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09854943777634145,"score_gpt":0.5032612394181664,"score_spread":0.4047118016418249,"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."}}