{"id":"W4251062950","doi":"10.1515/iupac.87.0614","title":"Sphingolipid","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Sphingolipid Metabolism and Signaling","field":"Biochemistry, Genetics and Molecular Biology","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; Psychology; Chemistry; Linguistics; Philosophy; Organic chemistry; 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":[0.0007779796,0.001738275,0.001340016,0.0038473,0.0006932185,0.002337469,0.001920258,0.001699288,0.05929648],"category_scores_gemma":[0.00540059,0.0005675429,0.001373772,0.006365941,0.000338372,0.001739242,0.002148209,0.00167081,0.07140438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216317,"about_ca_system_score_gemma":0.002552936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01084964,"about_ca_topic_score_gemma":0.02111692,"domain_scores_codex":[0.9991678,0.0001058331,0.0001713566,0.0002553168,0.0002014733,0.0000981986],"domain_scores_gemma":[0.9983506,0.000428284,0.0003165223,0.0003543854,0.0003889954,0.0001611215],"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":[0.0003452431,0.00003093882,0.002809743,0.005660512,0.0001049117,0.0001070945,0.00005379122,0.000491802,0.0008776588,0.001799183,0.9733834,0.01433577],"study_design_scores_gemma":[0.0001340374,0.00001630144,0.0039187,0.0007951011,0.00004831352,0.000118479,0.00003809647,0.0001538948,0.0004347564,0.001302248,0.9930173,0.00002275896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001693472,0.0003539796,0.00009972277,0.00005928252,0.00002600965,0.00001461775,0.9978834,0.0002109036,0.001182818],"genre_scores_gemma":[0.0004198392,0.0003386114,0.0003873476,0.00008037082,0.000007183211,0.00005678242,0.9979626,0.00004070704,0.0007065577],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05929648,"threshold_uncertainty_score":0.1983665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009496718541377774,"score_gpt":0.3656080443873803,"score_spread":0.3561113258460025,"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."}}