{"id":"W4255826280","doi":"10.1515/iupac.88.0743","title":"Endometrium","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Uterine Myomas and Treatments","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":[0.001071565,0.001237893,0.001373802,0.003644015,0.0006613749,0.002430023,0.001752042,0.001528632,0.1080472],"category_scores_gemma":[0.01027379,0.0005381425,0.001847415,0.004715242,0.0003439951,0.001572588,0.002031438,0.001420177,0.08847308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001208131,"about_ca_system_score_gemma":0.002434592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01369065,"about_ca_topic_score_gemma":0.0242945,"domain_scores_codex":[0.9984987,0.0002811074,0.0004310622,0.0003785499,0.000258273,0.0001523147],"domain_scores_gemma":[0.9963405,0.001178049,0.0006907773,0.0007272775,0.0008834922,0.0001799912],"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":[0.0003858763,0.00002353317,0.00320107,0.008399505,0.0001188252,0.000102664,0.00006026526,0.0003051962,0.000391586,0.001345169,0.9606843,0.02498206],"study_design_scores_gemma":[0.0002035731,0.00002316869,0.006089494,0.002532518,0.00008731349,0.0002460531,0.00006814205,0.0001389798,0.0002708092,0.001064563,0.9892492,0.00002609245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002427993,0.00086836,0.0001841163,0.0001463931,0.00007018823,0.00005652717,0.9952404,0.0002411898,0.002950005],"genre_scores_gemma":[0.00114393,0.001018315,0.0008575238,0.0003861371,0.00003595106,0.0002346914,0.9941955,0.00007696317,0.00205101],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1080472,"threshold_uncertainty_score":0.3614538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02487948379924916,"score_gpt":0.4533064525165141,"score_spread":0.428426968717265,"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."}}