{"id":"W4231826525","doi":"10.1515/iupac.87.0277","title":"Glycosphingolipid","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Glycosylation and Glycoproteins Research","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); 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":[0.0009568695,0.001599832,0.001279682,0.00440748,0.0006282137,0.002375347,0.001463049,0.001324687,0.03777037],"category_scores_gemma":[0.005949456,0.000511128,0.001341522,0.007787913,0.0003244885,0.001482942,0.001740108,0.001784314,0.03884874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136752,"about_ca_system_score_gemma":0.002569701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01290569,"about_ca_topic_score_gemma":0.02237466,"domain_scores_codex":[0.9990941,0.0001287666,0.0002049013,0.0002728037,0.0001965522,0.0001029283],"domain_scores_gemma":[0.9981029,0.00052063,0.0003980082,0.000428534,0.0003845349,0.0001654052],"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":[0.0004068949,0.00004088398,0.004424199,0.005740265,0.0001410507,0.0001134094,0.00006348258,0.0005839409,0.001013521,0.001764824,0.9680198,0.0176878],"study_design_scores_gemma":[0.0001513896,0.00002068318,0.007845237,0.001029241,0.00006504128,0.000152479,0.00005507167,0.0002301364,0.0005462916,0.001436291,0.9884404,0.00002786647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002929741,0.000414576,0.0001109102,0.0000600602,0.00002447639,0.00001572662,0.9978815,0.0001824239,0.001017402],"genre_scores_gemma":[0.0005393684,0.0003829918,0.0004582616,0.00006628361,0.000005804322,0.0000606335,0.9978527,0.00003734115,0.0005967172],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03777037,"threshold_uncertainty_score":0.1263545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247119969637736,"score_gpt":0.4054336331736856,"score_spread":0.3929624334773082,"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."}}