{"id":"W4248192253","doi":"10.1515/iupac.88.0467","title":"Aneuploid","year":2017,"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":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.001400352,0.001253796,0.001503029,0.004741456,0.0007475526,0.002431795,0.002012533,0.00182554,0.08541147],"category_scores_gemma":[0.01584384,0.0005679952,0.001463312,0.007287874,0.0004573055,0.0018757,0.002248103,0.001965967,0.04800403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373623,"about_ca_system_score_gemma":0.002956666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01214013,"about_ca_topic_score_gemma":0.02130858,"domain_scores_codex":[0.998131,0.0002705044,0.0005599805,0.0005031389,0.0003661943,0.0001691579],"domain_scores_gemma":[0.9929348,0.002556778,0.001282227,0.0014361,0.001472468,0.0003175361],"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":[0.0002400825,0.00002210785,0.003485893,0.004972088,0.00009893096,0.0001073128,0.00004055954,0.0002795026,0.0002445324,0.001479165,0.9721772,0.01685261],"study_design_scores_gemma":[0.0003357496,0.00002469704,0.009925222,0.003223472,0.0001011282,0.0003624803,0.00007886745,0.0002067446,0.0003824962,0.002892862,0.9824206,0.00004565648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002281507,0.0004483828,0.0001708685,0.0001426567,0.00005817805,0.00004450943,0.9968126,0.0001890761,0.00190546],"genre_scores_gemma":[0.0009323737,0.000638093,0.0006522039,0.0003328913,0.00002823645,0.0002871969,0.9955561,0.00007677455,0.001496219],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08541147,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394503063882559,"score_gpt":0.4367959918677108,"score_spread":0.4128509612288853,"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."}}