{"id":"W4253482496","doi":"10.1515/iupac.73.0302","title":"Glycerol Ethers","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Glycerol; Chemistry; Commission; Food science; Organic chemistry; Biochemistry; Polymer science; Computer science; Mathematics; Political science; Data mining; Law","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":[0.0005461705,0.002352322,0.001279023,0.004122416,0.000798881,0.002517792,0.00182019,0.001645934,0.05875808],"category_scores_gemma":[0.003884281,0.0005364034,0.001445643,0.00664386,0.000406139,0.001817489,0.001817532,0.001657771,0.06903885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001474279,"about_ca_system_score_gemma":0.002595139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01841928,"about_ca_topic_score_gemma":0.03147909,"domain_scores_codex":[0.9991497,0.00009874205,0.0001023121,0.0003049337,0.0002065007,0.0001377449],"domain_scores_gemma":[0.9990603,0.0002782351,0.0001790551,0.0002146015,0.0001812077,0.00008652636],"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":[0.0008458739,0.00006717401,0.005208801,0.007639146,0.0002058412,0.0001679833,0.00007293958,0.001365621,0.001326001,0.004311434,0.9499019,0.02888718],"study_design_scores_gemma":[0.0001426873,0.00001709832,0.003699738,0.0006759489,0.00006408388,0.00008765946,0.00004733828,0.0002201305,0.0007443072,0.001848029,0.9924297,0.00002338666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003738328,0.0006565655,0.0001105077,0.00005720231,0.00002797187,0.00001172515,0.9968891,0.0002862511,0.001586855],"genre_scores_gemma":[0.001182516,0.0006993523,0.0003385353,0.00007208774,0.000007299701,0.00004487416,0.9967435,0.0000555435,0.000856304],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05875808,"threshold_uncertainty_score":0.1965653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008827779568261808,"score_gpt":0.3592865898228995,"score_spread":0.3504588102546377,"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."}}