{"id":"W4238430268","doi":"10.1515/iupac.78.0335","title":"Glucuronides","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Management science; Data science; Environmental chemistry; Chemistry; Engineering; Data mining; Linguistics","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":[0.0007281111,0.001543199,0.001595101,0.003513005,0.0005152053,0.001976827,0.001722161,0.001290658,0.07997033],"category_scores_gemma":[0.005631149,0.0004208134,0.001485461,0.007017243,0.0003068832,0.001293046,0.001165749,0.001370134,0.06730466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285422,"about_ca_system_score_gemma":0.002313817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01501648,"about_ca_topic_score_gemma":0.03095913,"domain_scores_codex":[0.9989119,0.0001797415,0.000278301,0.0003025931,0.0002477622,0.00007967406],"domain_scores_gemma":[0.997748,0.0007055127,0.0005715658,0.0003430411,0.0004999692,0.0001319359],"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":[0.000362343,0.00003506873,0.002626043,0.005383154,0.0001111068,0.00007078257,0.00003128348,0.000348457,0.0003528674,0.001118186,0.9736885,0.01587213],"study_design_scores_gemma":[0.0001916144,0.00002699338,0.005788086,0.001000029,0.000078025,0.0001169687,0.00003264132,0.0001150257,0.0002894445,0.001037715,0.9913003,0.00002318155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001622687,0.0004242085,0.00006335098,0.00006299343,0.0000146911,0.00001608518,0.9979275,0.00009638045,0.00123237],"genre_scores_gemma":[0.0006918156,0.0006599173,0.0003693151,0.0001664543,0.00001142219,0.0001064496,0.9967036,0.00005084064,0.001240232],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07997033,"threshold_uncertainty_score":0.2675274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207630717783459,"score_gpt":0.4701258056031173,"score_spread":0.4493627338247714,"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."}}