{"id":"W4239394373","doi":"10.1515/iupac.87.0107","title":"Bradykinesia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Olfactory and Sensory Function Studies","field":"Neuroscience","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":[0.0008594855,0.001327515,0.001496588,0.001999764,0.0004540538,0.001510175,0.001133932,0.001059832,0.04662301],"category_scores_gemma":[0.007834859,0.0003209142,0.001507697,0.002284192,0.0002537649,0.000837129,0.000969806,0.001061124,0.0305708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009036134,"about_ca_system_score_gemma":0.001173387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006165511,"about_ca_topic_score_gemma":0.01623615,"domain_scores_codex":[0.9988009,0.0001636914,0.0004421785,0.0003352214,0.0001669078,0.00009110295],"domain_scores_gemma":[0.9965844,0.0009799578,0.001058607,0.000597853,0.0006136795,0.00016534],"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":[0.002772698,0.0000948161,0.02521392,0.01090029,0.0005222488,0.0003313222,0.00005546621,0.0006444568,0.0005514798,0.0006844919,0.9115178,0.04671116],"study_design_scores_gemma":[0.002211485,0.0002572795,0.112807,0.005233061,0.0006852646,0.001918318,0.0001516356,0.001214044,0.001351363,0.00298414,0.8710211,0.0001653617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001463385,0.0008063986,0.0002053377,0.00009399521,0.00006727663,0.0001183293,0.9944258,0.0002945633,0.002524977],"genre_scores_gemma":[0.005253197,0.0007991104,0.0006292459,0.000234056,0.00004335026,0.0004469255,0.9902177,0.00006120682,0.002315155],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04662301,"threshold_uncertainty_score":0.1559696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08511137028343399,"score_gpt":0.401720738510689,"score_spread":0.3166093682272551,"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."}}