{"id":"W4250474520","doi":"10.1515/iupac.79.0833","title":"Antimetabolite","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Computer science; Library science; Chemistry; Philosophy; Biology; 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":[0.0009415479,0.00147769,0.001921073,0.003082932,0.0005903839,0.002261862,0.002210577,0.001725068,0.06935798],"category_scores_gemma":[0.007136661,0.0005261475,0.001893273,0.005482144,0.000243049,0.0012463,0.001266479,0.001758625,0.06249298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533298,"about_ca_system_score_gemma":0.003023288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01440207,"about_ca_topic_score_gemma":0.03264732,"domain_scores_codex":[0.9987901,0.0002059735,0.0002493162,0.0003573669,0.0002878937,0.000109416],"domain_scores_gemma":[0.9977353,0.0007641115,0.0004594337,0.000428427,0.0004516806,0.0001610333],"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":[0.0008542576,0.00007421675,0.002664937,0.007686226,0.0002790438,0.00005536484,0.00002497834,0.0007373461,0.0004602151,0.0008760425,0.9665503,0.01973704],"study_design_scores_gemma":[0.0007523443,0.00007554967,0.005548349,0.001129553,0.0002725502,0.0001522977,0.00002801051,0.0003565942,0.0006249755,0.00148397,0.9895414,0.00003459892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001754874,0.0005572867,0.00006659846,0.00007172697,0.00001750901,0.00002233368,0.9978936,0.0001583977,0.001036983],"genre_scores_gemma":[0.0007120327,0.0005682251,0.0003927235,0.000173137,0.0000120938,0.0001210414,0.9969977,0.00004292734,0.0009802192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06935798,"threshold_uncertainty_score":0.2320256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004894385718005453,"score_gpt":0.3215189275616619,"score_spread":0.3166245418436565,"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."}}