{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002942596,0.0003785028,0.0007709225,0.00020296,0.0001791109,0.00009253238,0.000304267,0.0002795644,0.006062288],"category_scores_gemma":[0.0006568201,0.0002926221,0.0002671093,0.00007286999,0.0002005045,0.00005098305,0.0001718262,0.00071448,0.00002233406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009046407,"about_ca_system_score_gemma":0.002855688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001092956,"about_ca_topic_score_gemma":0.002866833,"domain_scores_codex":[0.9971163,0.00003285521,0.0002765703,0.0004876341,0.001559958,0.0005266411],"domain_scores_gemma":[0.9972569,0.00003655758,0.0001680874,0.001589007,0.0004609694,0.0004884971],"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":[0.001059478,0.0005283215,0.00005331131,0.0003300137,0.0003988299,0.002700353,0.000004892243,8.837797e-8,0.00000239646,0.000001024773,0.9905046,0.0044167],"study_design_scores_gemma":[0.003280171,0.00109378,0.0003161536,0.0006085578,0.0003880528,0.00003359473,0.000008723731,0.000002241004,0.00002936819,0.0001265568,0.9938788,0.0002340423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001130119,0.002276378,0.000005252537,0.002782891,0.0005047237,0.0005862814,0.9934522,0.0000454444,0.0002338091],"genre_scores_gemma":[0.00002694513,0.00194658,0.00004752849,0.000615716,0.001593128,0.00003762639,0.9927444,0.0000418716,0.002946244],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006039954,"threshold_uncertainty_score":0.9999526,"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."}}