{"id":"W6977350458","doi":"10.6084/m9.figshare.26617828","title":"Additional file 6 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; Statistical analysis; Mutation; Disease","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":[0.0009901857,0.0005333638,0.0007055881,0.002199271,0.0005542173,0.000901384,0.001088241,0.0005776467,0.7468277],"category_scores_gemma":[0.01724255,0.0002712953,0.0005850783,0.004369355,0.0001625759,0.0007937227,0.0006785386,0.0006295107,0.07523373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008415402,"about_ca_system_score_gemma":0.001357977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01076585,"about_ca_topic_score_gemma":0.01352852,"domain_scores_codex":[0.999333,0.0001164943,0.0001565503,0.0001530039,0.0001380283,0.0001029384],"domain_scores_gemma":[0.9872116,0.007597099,0.00129669,0.001037658,0.002462788,0.0003941637],"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":[0.0003596477,0.00009169456,0.009094187,0.001766017,0.00005995524,0.0001151958,0.0001064783,0.0003026517,0.0001545126,0.0004322751,0.9732849,0.01423248],"study_design_scores_gemma":[0.002364785,0.0004333455,0.1953409,0.004367608,0.0003637062,0.001440988,0.001392688,0.001247415,0.001378307,0.005811285,0.7856913,0.0001677339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005543442,0.0000198647,0.0001128112,0.00007893104,0.0000153151,0.00005799881,0.9980191,0.0001250624,0.001016661],"genre_scores_gemma":[0.01720903,0.000174123,0.001643743,0.0004393765,0.00009505113,0.0009413384,0.9688078,0.0003103521,0.01037923],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7468277,"threshold_uncertainty_score":0.3611195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02009912604451683,"score_gpt":0.2833623428747859,"score_spread":0.263263216830269,"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."}}