{"id":"W4254854226","doi":"10.1515/iupac.88.1187","title":"Peritoneal Cavity","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Academic Writing and Publishing","field":"Arts and Humanities","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; Medicine; Linguistics; Data mining; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008074867,0.001275706,0.001291031,0.002832821,0.0006996855,0.00245446,0.001798169,0.001283113,0.1380785],"category_scores_gemma":[0.00868269,0.0004855275,0.001485924,0.004199971,0.0003931578,0.002104501,0.002225651,0.001496423,0.1118876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009742935,"about_ca_system_score_gemma":0.002015457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01018742,"about_ca_topic_score_gemma":0.01676727,"domain_scores_codex":[0.9989454,0.0001745602,0.0002478716,0.0003464693,0.000176241,0.0001095013],"domain_scores_gemma":[0.9966898,0.001019253,0.0006232698,0.0007399838,0.0007262175,0.0002014202],"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":[0.0004065602,0.00002668901,0.005630981,0.004200918,0.0001078766,0.0001507687,0.00007083728,0.0003555045,0.0002558467,0.001725292,0.9529381,0.03413053],"study_design_scores_gemma":[0.0001508031,0.00002372859,0.009150006,0.002072498,0.0000757425,0.0005040001,0.0001322677,0.000204999,0.000278632,0.002454107,0.9849177,0.00003549049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005667852,0.0009602092,0.0004796662,0.0001809515,0.0001051466,0.00007324792,0.9901471,0.0004681759,0.007018776],"genre_scores_gemma":[0.003212025,0.001194221,0.001612499,0.000501622,0.00005870937,0.0003106232,0.9886611,0.000192939,0.004256186],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8619215,"threshold_uncertainty_score":0.4619184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03646377874012685,"score_gpt":0.4147518001493368,"score_spread":0.37828802140921,"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."}}