{"id":"W4236912704","doi":"10.1515/iupac.88.0530","title":"Basal Ganglia","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cancer Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; 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":[0.0007075759,0.00139694,0.001448581,0.003080482,0.0006403441,0.002708652,0.002398275,0.001377787,0.09319004],"category_scores_gemma":[0.007510322,0.0004430121,0.001623437,0.005056768,0.0003483637,0.001705353,0.001600839,0.001668272,0.1010966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656715,"about_ca_system_score_gemma":0.00266303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02425501,"about_ca_topic_score_gemma":0.05275193,"domain_scores_codex":[0.9992357,0.0001264414,0.0001604134,0.0002302464,0.0001532515,0.00009379235],"domain_scores_gemma":[0.9975678,0.0007279384,0.0003373304,0.0005113956,0.0007123372,0.0001430617],"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":[0.0003191139,0.00001794618,0.003084392,0.003773306,0.0001561026,0.0001018039,0.0000444287,0.0003781074,0.000214449,0.001041971,0.9647244,0.02614398],"study_design_scores_gemma":[0.0002306681,0.00003920059,0.01404159,0.002794372,0.0001951461,0.000455028,0.0001099685,0.0003395064,0.0003709673,0.003844464,0.9775296,0.00004938161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004052708,0.001301513,0.000231785,0.0001735205,0.00008346989,0.00003545965,0.9926676,0.00032731,0.004774144],"genre_scores_gemma":[0.00197289,0.001315271,0.0008051442,0.0002902596,0.00003681218,0.0002287331,0.9929106,0.00008361103,0.002356705],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09319004,"threshold_uncertainty_score":0.3117518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0301592744013403,"score_gpt":0.507224046288592,"score_spread":0.4770647718872517,"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."}}