{"id":"W4234850907","doi":"10.1515/iupac.88.0748","title":"Epicardium","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Anesthesia and Neurotoxicity Research","field":"Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005545604,0.0004717445,0.0007302832,0.0002415475,0.0006017432,0.0003353891,0.00203614,0.000417572,0.001710332],"category_scores_gemma":[0.005301713,0.0004069258,0.0002956835,0.0001557816,0.0005958281,0.0001595269,0.0004831837,0.00129251,0.00005487853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000160332,"about_ca_system_score_gemma":0.0009047872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000639561,"about_ca_topic_score_gemma":0.00008049486,"domain_scores_codex":[0.995322,0.0003250304,0.0003637689,0.0009876029,0.002257922,0.0007436164],"domain_scores_gemma":[0.9967408,0.0003173971,0.0002966166,0.002145936,0.00018587,0.0003134261],"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":[0.0001431182,0.0001912693,0.00000605506,0.00009778075,0.000009423806,0.001335125,0.000004259095,5.504353e-7,0.0008782934,0.00001051156,0.9965755,0.000748141],"study_design_scores_gemma":[0.0004398308,0.000269441,0.00003601823,0.0001101297,0.00003648987,0.0001675303,0.000002907317,0.000007676263,0.00442805,0.00009903534,0.994001,0.0004018812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005951916,0.00008989665,0.00000860325,0.001174319,0.0004983492,0.0005620362,0.9966772,0.00009187428,0.0003024887],"genre_scores_gemma":[0.0002282366,0.001219769,0.000005872952,0.001105151,0.0008870427,0.00003615474,0.994256,0.00005600726,0.002205819],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004747152,"threshold_uncertainty_score":0.9998382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05725199614720495,"score_gpt":0.4834963354508179,"score_spread":0.426244339303613,"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."}}