{"id":"W4246821860","doi":"10.1515/iupac.88.1105","title":"Neural Crest","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Teratomas and Epidermoid Cysts","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; 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":[0.000334971,0.0005000221,0.001064775,0.0001901908,0.0002289617,0.0001431607,0.0004141388,0.0004724013,0.002142175],"category_scores_gemma":[0.0009014995,0.0003993821,0.0003076691,0.00007229275,0.0001835626,0.00009003209,0.0001883453,0.0009083396,0.00001094225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002346931,"about_ca_system_score_gemma":0.0008830944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000341905,"about_ca_topic_score_gemma":0.0008927425,"domain_scores_codex":[0.9973382,0.00004618951,0.0004794888,0.0005625834,0.001056231,0.000517313],"domain_scores_gemma":[0.9969583,0.00004217331,0.0003330749,0.001849858,0.0004230739,0.0003935175],"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":[0.0003234108,0.0002299327,0.0001249947,0.0003433234,0.0001296836,0.001714934,0.000006506092,4.603771e-7,0.000007957076,0.000001331179,0.994132,0.002985444],"study_design_scores_gemma":[0.001787835,0.000458854,0.002143707,0.0005908668,0.0003813459,0.000416416,0.000008941261,0.00003748016,0.000008204346,0.00001712858,0.9937772,0.0003720297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001542461,0.001422384,0.000005764489,0.002473175,0.001298035,0.0003737411,0.9926355,0.00009792631,0.000151047],"genre_scores_gemma":[0.0005233533,0.0004689113,0.00005455327,0.001160365,0.002607817,0.00001248398,0.9939066,0.00005769453,0.001208219],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.002613414,"threshold_uncertainty_score":0.9998458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02460333814933369,"score_gpt":0.4572111032012875,"score_spread":0.4326077650519538,"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."}}