{"id":"W4229581676","doi":"10.1515/iupac.87.0038","title":"Anaphrodisiac","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Plant-based Medicinal Research","field":"Pharmacology, Toxicology and Pharmaceutics","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":[0.001057242,0.001982694,0.001478291,0.00469858,0.001040533,0.003247145,0.002386505,0.00203153,0.09272543],"category_scores_gemma":[0.008695003,0.0006435362,0.001948171,0.006351564,0.0004757861,0.002353367,0.00218678,0.001914215,0.1113844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466991,"about_ca_system_score_gemma":0.003138623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01307429,"about_ca_topic_score_gemma":0.02683373,"domain_scores_codex":[0.9982968,0.0002669614,0.0004124028,0.000537567,0.0003123593,0.0001739751],"domain_scores_gemma":[0.9969779,0.0007957747,0.0005252383,0.000751235,0.0007218881,0.0002279977],"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":[0.0003448727,0.00003760843,0.00208066,0.003532579,0.00008595907,0.00006813073,0.00004256784,0.0003162877,0.0002549478,0.001122308,0.9794374,0.0126766],"study_design_scores_gemma":[0.0002088689,0.00002922018,0.003174812,0.0006679472,0.00005297867,0.0001220331,0.00005644441,0.0002107313,0.0003120439,0.001148314,0.9939899,0.00002684155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002758578,0.0004004151,0.0001362667,0.0001164497,0.00005751385,0.00003936257,0.9961501,0.000512416,0.002311592],"genre_scores_gemma":[0.0006934342,0.0003445648,0.000531712,0.0001762693,0.00002081345,0.0001414639,0.9961338,0.0001053789,0.001852499],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09272543,"threshold_uncertainty_score":0.3101975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1080285964080133,"score_gpt":0.5818756102192741,"score_spread":0.4738470138112608,"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."}}