{"id":"W4229619286","doi":"10.1515/iupac.88.1339","title":"Somatic","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Neurology and Historical Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Computer science; Linguistics; Philosophy","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":[0.001610426,0.001417958,0.001300931,0.00391373,0.0009737223,0.003645102,0.002525959,0.001668345,0.196466],"category_scores_gemma":[0.01543865,0.0005569739,0.001643797,0.006699775,0.0004383434,0.002738939,0.002507306,0.001515652,0.2101122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167643,"about_ca_system_score_gemma":0.003217767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01386597,"about_ca_topic_score_gemma":0.02501817,"domain_scores_codex":[0.9974405,0.0004333229,0.0005757419,0.0008120384,0.0004759506,0.0002624123],"domain_scores_gemma":[0.9941753,0.001518201,0.0007215877,0.001359526,0.001895109,0.0003304118],"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":[0.0001377195,0.00001456821,0.00155353,0.001740703,0.00004295782,0.00002999757,0.00003850046,0.000104956,0.00009321036,0.001309543,0.985346,0.009588231],"study_design_scores_gemma":[0.0001080667,0.00001178801,0.00287317,0.00087867,0.00002966614,0.00007523683,0.00007896115,0.00009705572,0.0001489224,0.001335917,0.9943433,0.00001933003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001508461,0.0002003807,0.0001487135,0.0001361402,0.00006016719,0.00003995287,0.9952796,0.000339274,0.003645005],"genre_scores_gemma":[0.0005360652,0.0002027142,0.0004174483,0.0002552085,0.00002294261,0.0001782943,0.9958084,0.0001140935,0.002464791],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.196466,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04096715074001877,"score_gpt":0.4423895572316823,"score_spread":0.4014224064916635,"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."}}