{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00119741,0.001333597,0.001457595,0.003995184,0.001023618,0.003522227,0.002571538,0.002118968,0.1052491],"category_scores_gemma":[0.01094573,0.0006366064,0.001573441,0.006009406,0.0004510973,0.002065117,0.002409712,0.00190307,0.1298157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259896,"about_ca_system_score_gemma":0.003280673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01464382,"about_ca_topic_score_gemma":0.03243318,"domain_scores_codex":[0.9983436,0.0002457699,0.0003811776,0.0004632971,0.000379161,0.0001869534],"domain_scores_gemma":[0.9963594,0.001217353,0.0004424481,0.000840596,0.000896613,0.0002435405],"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":[0.0001539235,0.0000156104,0.001889841,0.003206684,0.00006321809,0.00007571534,0.00004691728,0.0003111303,0.0003294839,0.001310501,0.9787789,0.01381799],"study_design_scores_gemma":[0.0000981436,0.00001491304,0.002972811,0.0009829605,0.00004473545,0.0001566928,0.0000546685,0.0001817694,0.0002542034,0.001194741,0.9940208,0.00002362668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002100692,0.0004712748,0.0002303206,0.0001517329,0.00007762982,0.00003144093,0.9955414,0.0003958239,0.002890204],"genre_scores_gemma":[0.000661987,0.0004756897,0.0007452772,0.0002236461,0.00001559318,0.0001507107,0.9959639,0.0001018906,0.00166119],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1052491,"threshold_uncertainty_score":0.3520933,"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."}}