{"id":"W6977240885","doi":"10.6084/m9.figshare.26617819","title":"Additional file 3 of Cytogenetic profile of 1791 adult acute myeloid leukemia in India","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Aerogels and thermal insulation","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Myeloid leukemia; Leukemia; Disease; Mutation; MEDLINE","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":[0.0007923918,0.0005121981,0.0008490098,0.001992441,0.0005411464,0.0009506231,0.001068669,0.0007161935,0.7895109],"category_scores_gemma":[0.01559697,0.0003098663,0.0004677345,0.003708081,0.0001581686,0.0009717395,0.0006505697,0.0005951574,0.08889368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008186362,"about_ca_system_score_gemma":0.001290956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009295831,"about_ca_topic_score_gemma":0.01438502,"domain_scores_codex":[0.999527,0.00006467767,0.0001227366,0.0001157784,0.0001033264,0.00006659731],"domain_scores_gemma":[0.9913503,0.005356309,0.0008784823,0.0006230855,0.001509534,0.000282279],"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":[0.0003362269,0.00005970869,0.004613671,0.002469543,0.00004075202,0.0001407503,0.00008731853,0.0002777053,0.0001801785,0.0006263191,0.9761594,0.01500844],"study_design_scores_gemma":[0.002310439,0.0002736753,0.0817017,0.005068613,0.0002334371,0.001189778,0.0008573411,0.0008106258,0.001061595,0.008003715,0.8983759,0.0001133006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003337394,0.00003095076,0.0001025077,0.0001091764,0.00001546105,0.0000484964,0.9978204,0.0001261821,0.001413062],"genre_scores_gemma":[0.01542851,0.0003240972,0.00142428,0.0006534511,0.0001052836,0.0009202789,0.9659036,0.0003253728,0.01491523],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7895109,"threshold_uncertainty_score":0.3002371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441285733471326,"score_gpt":0.2320270611954479,"score_spread":0.2176142038607347,"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."}}