{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009404307,0.001465701,0.001638148,0.003383979,0.0007030747,0.002143406,0.002141185,0.001860328,0.07281923],"category_scores_gemma":[0.009357485,0.0004661666,0.001610239,0.004946357,0.000315206,0.001182557,0.001742078,0.001539137,0.05494375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189198,"about_ca_system_score_gemma":0.002300803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01174283,"about_ca_topic_score_gemma":0.02214407,"domain_scores_codex":[0.9988318,0.0001573314,0.0002589749,0.0003983199,0.0002360007,0.0001176063],"domain_scores_gemma":[0.9969659,0.001046138,0.0004930782,0.0006408599,0.000646378,0.0002075079],"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":[0.0003542817,0.0000307829,0.004138925,0.003601531,0.000152898,0.0001227539,0.00002996652,0.0004787068,0.0002966078,0.0009817062,0.9739741,0.01583769],"study_design_scores_gemma":[0.0005596653,0.00003877308,0.01218557,0.00169578,0.0001933202,0.00045011,0.0000609436,0.0003640268,0.0005251944,0.002212701,0.9816679,0.00004591065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002384955,0.0003632637,0.00009285558,0.00008056038,0.00003163488,0.00002202757,0.9980257,0.0001319407,0.001013646],"genre_scores_gemma":[0.0008108661,0.0003579217,0.000354159,0.0001693059,0.00001680666,0.0001458976,0.9970558,0.00003834812,0.001050902],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9271808,"threshold_uncertainty_score":0,"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."}}