{"id":"W4246273435","doi":"10.1515/iupac.87.0172","title":"Cue","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","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; Data mining; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001276295,0.001783741,0.001297402,0.003607235,0.001199551,0.003793578,0.00278054,0.002181666,0.2151173],"category_scores_gemma":[0.0127558,0.0006128206,0.001596541,0.00592284,0.0004543642,0.002803409,0.002608032,0.001815353,0.2593218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002073404,"about_ca_system_score_gemma":0.003318116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02437201,"about_ca_topic_score_gemma":0.04524334,"domain_scores_codex":[0.9976907,0.0003651562,0.0003781384,0.0007726101,0.0004904206,0.0003030836],"domain_scores_gemma":[0.9952247,0.001092185,0.0004079545,0.001220249,0.001714374,0.0003404701],"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":[0.0001063084,0.00001678861,0.0009617133,0.0006967784,0.00001784705,0.00001711519,0.00002324514,0.0001139743,0.00006576083,0.0007472633,0.9921839,0.005049295],"study_design_scores_gemma":[0.00014294,0.00001688195,0.001978837,0.0004103689,0.00001694668,0.0000518338,0.00008830034,0.0001713873,0.0001791807,0.001210296,0.9957118,0.00002114405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001326554,0.00009287976,0.00009213253,0.0001257063,0.00005358153,0.00003315901,0.9965363,0.0003721742,0.002561428],"genre_scores_gemma":[0.000406091,0.00008205888,0.0003162272,0.0001603629,0.00001411598,0.0001238849,0.9967448,0.00009074942,0.002061733],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7848827,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661653877941268,"score_gpt":0.4293854033452478,"score_spread":0.4127688645658352,"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."}}