{"id":"W4238172420","doi":"10.1515/iupac.87.0125","title":"Cauda Equina","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Plant-based Medicinal Research","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Psychology; 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","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.003208487,0.0006834234,0.0009628161,0.0004941392,0.0002902788,0.00003479599,0.001165007,0.001547527,0.04236647],"category_scores_gemma":[0.002853016,0.0005145928,0.0002362374,0.000310021,0.000681981,0.00009366535,0.0004115556,0.003680738,0.0001202051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050518,"about_ca_system_score_gemma":0.003359457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001674326,"about_ca_topic_score_gemma":0.0007972011,"domain_scores_codex":[0.9944622,0.0007972081,0.0007275921,0.0008002982,0.001790583,0.001422101],"domain_scores_gemma":[0.9956145,0.001510115,0.0003219791,0.0008835098,0.0007028347,0.000967122],"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":[0.001845617,0.0004828091,0.00003080904,0.0003718208,0.0003758071,0.001794983,0.00001415766,0.000002561575,0.0005435072,0.00001811452,0.9771903,0.01732959],"study_design_scores_gemma":[0.002991885,0.0006412389,0.00001654444,0.0003591152,0.0003820391,0.0001106444,0.0000211823,0.00001576929,0.0006469061,0.000123983,0.994124,0.000566724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004574704,0.002451645,0.0000462448,0.003118538,0.003293862,0.0006481805,0.9892735,0.0001142776,0.0005962839],"genre_scores_gemma":[0.0001029072,0.005991862,0.00001438947,0.003069063,0.002813194,0.0000582086,0.9838735,0.00006466395,0.004012175],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04224627,"threshold_uncertainty_score":0.9997486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.126422715850694,"score_gpt":0.590847838541132,"score_spread":0.464425122690438,"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."}}