{"id":"W4229636720","doi":"10.1515/iupac.88.1138","title":"Omentum","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Literature, Musicology, and Cultural Analysis","field":"Social Sciences","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; 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":[0.0006947923,0.001176957,0.001125882,0.004015168,0.0005917639,0.001825685,0.001319914,0.001103439,0.1200931],"category_scores_gemma":[0.00773264,0.0003784713,0.001425457,0.005386437,0.0003815319,0.001558826,0.002131489,0.001086132,0.07768391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007550727,"about_ca_system_score_gemma":0.001410491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008531462,"about_ca_topic_score_gemma":0.01750253,"domain_scores_codex":[0.9989989,0.0001636627,0.0002766293,0.0002617765,0.0001957747,0.0001032363],"domain_scores_gemma":[0.9973555,0.0008112324,0.0005983943,0.0004975527,0.0005772021,0.0001601744],"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":[0.0004152601,0.0000260519,0.004334796,0.007875177,0.0001025951,0.0001702225,0.00009289297,0.0002252103,0.0004886105,0.00141428,0.946808,0.03804686],"study_design_scores_gemma":[0.0001160166,0.00002269213,0.01172687,0.002018239,0.00006464861,0.00031733,0.0001243752,0.000107162,0.0002080942,0.001179169,0.9840915,0.00002396561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006007228,0.001290181,0.0002566337,0.0001742371,0.0001036211,0.00006831746,0.9926387,0.0002236284,0.004643917],"genre_scores_gemma":[0.002672721,0.001570349,0.001292894,0.0003940682,0.00006726864,0.0003436584,0.9899373,0.0001052455,0.003616489],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.879907,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552050314274162,"score_gpt":0.4393274299090258,"score_spread":0.4138069267662842,"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."}}