{"id":"W4248864887","doi":"10.1515/iupac.87.0404","title":"Myelogram","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Biomedical and Chemical Research","field":"Medicine","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; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004180018,0.0003361095,0.0007338926,0.0001899418,0.00005221864,0.00002373667,0.0003282978,0.0007610347,0.01872667],"category_scores_gemma":[0.001706757,0.0001955752,0.0002588647,0.000273077,0.0004987421,0.00002429262,0.0002413752,0.001078845,0.00001948109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003498036,"about_ca_system_score_gemma":0.001270977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005654133,"about_ca_topic_score_gemma":0.00003813267,"domain_scores_codex":[0.9961504,0.00003648149,0.000406453,0.0005040985,0.002276059,0.0006264716],"domain_scores_gemma":[0.9976888,0.0001390077,0.00009037606,0.0007872266,0.00052718,0.0007674178],"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":[0.0004068582,0.0004359928,0.000006939214,0.000442574,0.0001298252,0.000304451,0.000001122798,9.057667e-10,0.0001675187,0.000002761721,0.9502092,0.04789278],"study_design_scores_gemma":[0.001620679,0.0005282611,0.00003130621,0.0008802512,0.0001409926,0.00005890111,0.000004796837,7.947132e-7,0.0001606957,0.0001737011,0.9961633,0.0002363062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007400548,0.000917401,0.00003346485,0.007961544,0.0002799632,0.0002838176,0.9901378,0.0000734829,0.0002385477],"genre_scores_gemma":[0.0000134142,0.002464199,0.00004389899,0.001189105,0.001999996,0.00001795589,0.9911394,0.00003229173,0.00309972],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04765647,"threshold_uncertainty_score":0.9821703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293639472639461,"score_gpt":0.4716880137002118,"score_spread":0.4487516189738172,"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."}}