{"id":"W4243499330","doi":"10.1515/iupac.88.1366","title":"Spongioblast","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Liver physiology and pathology","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":[0.0003415564,0.0003779273,0.0009577381,0.0001701575,0.0001936297,0.00002014374,0.0003692353,0.0007775407,0.003738248],"category_scores_gemma":[0.0005856162,0.0003071933,0.0002463536,0.00005087945,0.0004187993,0.00004774544,0.0001901019,0.0009970553,0.00003382064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323493,"about_ca_system_score_gemma":0.001017028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005578253,"about_ca_topic_score_gemma":0.0002110272,"domain_scores_codex":[0.998268,0.00008010615,0.0003056529,0.0005052109,0.0004526255,0.00038837],"domain_scores_gemma":[0.997601,0.00006325013,0.0002753987,0.001521862,0.0003433261,0.0001951752],"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":[0.0008612449,0.0002836959,0.00006865741,0.0002445821,0.0002023851,0.001560956,0.00001090071,2.038756e-7,0.00003407354,0.00000387978,0.9960909,0.0006385535],"study_design_scores_gemma":[0.001441043,0.0008215802,0.002315653,0.0003470618,0.000499082,0.000453773,0.000009582925,0.000001281381,0.00001686943,0.00008949218,0.9937346,0.0002699716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001196722,0.0006023774,0.000006322647,0.0005910381,0.001177075,0.0002873056,0.9958035,0.00005356783,0.0002820427],"genre_scores_gemma":[0.0001533989,0.0005805228,0.00004934656,0.0008917954,0.001938213,0.00000931678,0.9947938,0.00002999558,0.001553553],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.003704428,"threshold_uncertainty_score":0.999938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02215216332112262,"score_gpt":0.4531403906789753,"score_spread":0.4309882273578526,"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."}}