{"id":"W4254642131","doi":"10.1515/iupac.79.0819","title":"Aneuploid","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library science; Chemistry; Biology; Philosophy; Linguistics","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":[0.0003798839,0.000423585,0.0008203849,0.0002559923,0.00005712085,0.00002303209,0.0001912769,0.0004925008,0.007205066],"category_scores_gemma":[0.0002480764,0.0003034831,0.0002065801,0.0001637516,0.0001185708,0.00004805235,0.0000376477,0.0004518462,0.00002244648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003486562,"about_ca_system_score_gemma":0.001028246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004545617,"about_ca_topic_score_gemma":0.0001009703,"domain_scores_codex":[0.9971087,0.0000553746,0.0005577357,0.0005133117,0.001349327,0.0004155659],"domain_scores_gemma":[0.9980636,0.0001262006,0.0001902618,0.0009018932,0.0004267797,0.0002912383],"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":[0.0003495589,0.0002106976,0.00003154081,0.001168406,0.0001345518,0.0005939174,0.00001428914,8.27681e-8,0.0001526831,0.000004757597,0.9960673,0.001272257],"study_design_scores_gemma":[0.002308671,0.0003541092,0.0001024068,0.001949853,0.0005348831,0.0004886381,0.00001514162,0.000001195078,0.0003548372,0.00003288911,0.9935333,0.0003241197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002392029,0.0004271134,0.0002618925,0.00108508,0.0006495943,0.00055352,0.9963993,0.0001139912,0.0002702771],"genre_scores_gemma":[0.00003521594,0.001616621,0.0001262543,0.0005689176,0.0009999331,0.00001860877,0.9954976,0.00006044784,0.001076369],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00718262,"threshold_uncertainty_score":0.9999417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726974286549645,"score_gpt":0.4003309718746327,"score_spread":0.3830612290091363,"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."}}