{"id":"W6958554356","doi":"10.6084/m9.figshare.26617813.v1","title":"Additional file 1 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; Disease; Leukemia; 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":[0.0008173835,0.0005394544,0.0007323966,0.002265367,0.0006040884,0.0008984708,0.001171648,0.0005793891,0.7761567],"category_scores_gemma":[0.01791063,0.0003093572,0.0004846689,0.005014215,0.0001700671,0.0009382099,0.0006723391,0.0006225787,0.08481856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008198653,"about_ca_system_score_gemma":0.001452556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01152062,"about_ca_topic_score_gemma":0.01503464,"domain_scores_codex":[0.9995109,0.0000748736,0.0001165209,0.0001196933,0.000100944,0.00007706256],"domain_scores_gemma":[0.9884431,0.007143216,0.001173967,0.000851457,0.002016181,0.0003721188],"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":[0.0002693932,0.00007942164,0.006303757,0.001606179,0.00003651088,0.0001312394,0.000105142,0.0002281799,0.0001323187,0.0004899163,0.9784863,0.01213172],"study_design_scores_gemma":[0.002933125,0.0004065896,0.1679396,0.004424973,0.0002954302,0.00172008,0.001373776,0.00106613,0.00120037,0.006682937,0.8117986,0.0001583373],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000438259,0.00001890725,0.00007751575,0.00008318018,0.00001275557,0.0000453426,0.9982985,0.00007885441,0.000946814],"genre_scores_gemma":[0.01405954,0.0002039441,0.001168751,0.0003783496,0.00008513794,0.0008194848,0.9741327,0.000199564,0.008952489],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7761567,"threshold_uncertainty_score":0.3192852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047431015038516,"score_gpt":0.2836906265584201,"score_spread":0.2632163164080349,"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."}}