{"id":"W4254247034","doi":"10.1515/iupac.87.0214","title":"Dystonia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cancer Treatment and Pharmacology","field":"Medicine","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; Engineering ethics; Chemistry; Linguistics; Engineering; Philosophy; Organic chemistry; Data mining","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":[0.0007888993,0.001221253,0.001164554,0.002598844,0.0005385802,0.001832088,0.00158426,0.00139129,0.1156852],"category_scores_gemma":[0.009592181,0.0003494859,0.001592459,0.003006533,0.0002613348,0.001047238,0.001564444,0.001125396,0.07232741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001209956,"about_ca_system_score_gemma":0.001711224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01032243,"about_ca_topic_score_gemma":0.02773828,"domain_scores_codex":[0.9990585,0.0001611426,0.0002810208,0.0002394323,0.000161596,0.00009821296],"domain_scores_gemma":[0.9967082,0.001117873,0.0006763953,0.0005569481,0.0007508369,0.0001898265],"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":[0.0005300067,0.00003481384,0.004937801,0.003976286,0.0001313245,0.0001077962,0.00003137445,0.0002439232,0.000143081,0.0006467393,0.9698099,0.01940687],"study_design_scores_gemma":[0.0006588551,0.00008508695,0.02739549,0.003765938,0.0001862192,0.000700644,0.0001406422,0.0004422452,0.000451359,0.002678098,0.9634281,0.00006722066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004456755,0.0003809511,0.0001055092,0.0001030983,0.00004708851,0.00005742864,0.9959812,0.0001632333,0.002715829],"genre_scores_gemma":[0.001672179,0.0004577917,0.0004343377,0.000269852,0.00002627722,0.0002630953,0.9942907,0.00004484478,0.00254098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1156852,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884908054944016,"score_gpt":0.4704113973277275,"score_spread":0.4515623167782873,"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."}}