{"id":"W6920894928","doi":"10.6084/m9.figshare.26617822.v1","title":"Additional file 4 of Cytogenetic profile of 1791 adult acute myeloid leukemia in India","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Myeloid leukemia; Leukemia; Disease; Mutation; Myeloid","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":[0.0007505589,0.0005624252,0.0007881949,0.002390726,0.000577859,0.000934955,0.001133666,0.0006981073,0.7969771],"category_scores_gemma":[0.01746813,0.0002969475,0.0005245091,0.004399536,0.000164406,0.0009206618,0.0007263885,0.0006043,0.08561789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008271683,"about_ca_system_score_gemma":0.001407427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01158132,"about_ca_topic_score_gemma":0.01646269,"domain_scores_codex":[0.9994487,0.00008089691,0.0001430615,0.0001213904,0.0001182696,0.00008762997],"domain_scores_gemma":[0.9886728,0.006968541,0.001213599,0.0007827461,0.002013914,0.0003484838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002653259,0.00005676371,0.006197746,0.001849289,0.00003784507,0.0001378701,0.00008788869,0.0002313568,0.000131781,0.0004719031,0.9786804,0.01185193],"study_design_scores_gemma":[0.002527813,0.0002892007,0.1366494,0.004853521,0.0002718863,0.001578045,0.00107733,0.0009218149,0.001104569,0.006305232,0.8442767,0.0001445804],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0004005999,0.00002616074,0.00007729918,0.0001083985,0.00001500116,0.00004163977,0.9979647,0.0001088408,0.00125736],"genre_scores_gemma":[0.01520087,0.000254301,0.001090911,0.0004827134,0.0001000586,0.0006680447,0.9707781,0.0002221522,0.01120282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7969771,"threshold_uncertainty_score":0.2895875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026031289998256,"score_gpt":0.2836828577103377,"score_spread":0.2634225448103552,"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."}}