{"id":"W4248357165","doi":"10.1515/iupac.87.0482","title":"Occiput","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; Chemical nomenclature; Relation (database); 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":[],"consensus_categories":[],"category_scores_codex":[0.001017253,0.00159304,0.001386125,0.00487704,0.001061142,0.004376517,0.002569361,0.00172293,0.1671829],"category_scores_gemma":[0.01001659,0.0006456883,0.001332181,0.01036703,0.0005032262,0.002661094,0.002961156,0.001704621,0.2138744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001920125,"about_ca_system_score_gemma":0.003649618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02656179,"about_ca_topic_score_gemma":0.04908809,"domain_scores_codex":[0.9985942,0.0002147141,0.0002363517,0.0004454243,0.0003026074,0.0002066833],"domain_scores_gemma":[0.9965761,0.0008119997,0.0004748281,0.0007934981,0.001017211,0.0003262941],"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":[0.00008998468,0.000008720778,0.0008472499,0.0008916014,0.00001971797,0.00001755936,0.00002135789,0.00008743317,0.00005686255,0.0007042259,0.9930957,0.004159584],"study_design_scores_gemma":[0.0001234199,0.00001168178,0.002336205,0.0006369576,0.00001784267,0.00005460081,0.000066908,0.0001290373,0.0001336464,0.001143579,0.9953287,0.00001750283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006909969,0.00008557307,0.00004268898,0.00008921592,0.00002875286,0.000009855802,0.9980493,0.0002143676,0.001411186],"genre_scores_gemma":[0.0002709838,0.0001077466,0.0001869623,0.00010134,0.00001310682,0.00005386502,0.9978897,0.00009100126,0.001285355],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1671829,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796239267410789,"score_gpt":0.4310650990878092,"score_spread":0.4131027064137013,"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."}}