{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009766788,0.0004225522,0.0006253381,0.0001484196,0.001239485,0.001566439,0.001086746,0.0004383,0.009471679],"category_scores_gemma":[0.001037676,0.0003710544,0.0002072223,0.00001603396,0.0005539574,0.0004515616,0.0002691873,0.001713342,0.000009899021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001991283,"about_ca_system_score_gemma":0.0006628954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004513979,"about_ca_topic_score_gemma":0.01247972,"domain_scores_codex":[0.9975119,0.0000792556,0.0004228707,0.0004765421,0.001012892,0.0004965608],"domain_scores_gemma":[0.9978351,0.00008704303,0.0004538053,0.0009160748,0.0005327011,0.0001752978],"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":[0.00002822799,0.00006990322,0.000004176607,0.000161262,0.00004900169,0.00004997029,0.0007354819,2.51037e-7,1.600269e-7,0.0003565295,0.9968679,0.001677168],"study_design_scores_gemma":[0.0002954993,0.00006647272,0.000007197403,0.0003253751,0.000105989,0.00001136762,0.0005401245,0.000004668488,4.174431e-7,0.0002396963,0.9979455,0.0004577038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000187085,0.0008982776,0.000001601209,0.00141871,0.002951837,0.0001462727,0.9899048,0.0001259338,0.004365475],"genre_scores_gemma":[0.0001476672,0.0002409908,0.00000863376,0.0004696063,0.0157944,0.00000913065,0.9758352,0.00004099189,0.007453376],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01406961,"threshold_uncertainty_score":0.9998741,"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."}}