{"id":"W4406584098","doi":"10.1016/j.yonc.2013.08.006","title":"10.1016/j.yonc.2013.08.006","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Myeloid leukemia; Relevance (law); Profiling (computer programming); Oncology; Myeloid; Computational biology; Internal medicine; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006697231,0.0009612215,0.0005764771,0.001727171,0.001214619,0.003154882,0.001040205,0.003251921,0.9162147],"category_scores_gemma":[0.001379596,0.0003954971,0.0005791103,0.0008033515,0.0009193477,0.002026211,0.001407242,0.001567687,0.8769715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010988,"about_ca_system_score_gemma":0.00138398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002396677,"about_ca_topic_score_gemma":0.002791925,"domain_scores_codex":[0.9997014,0.0000236113,0.00001996807,0.00008389883,0.00008942431,0.00008167094],"domain_scores_gemma":[0.9989477,0.0001430544,0.0001027296,0.00006830914,0.0002052722,0.0005329598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002875748,0.0002523593,0.003732942,0.0003847028,0.00003240077,0.00033656,0.0001278189,0.0002395705,0.00149199,0.006453151,0.3674939,0.6191671],"study_design_scores_gemma":[0.00004087545,0.00006788239,0.003366946,0.0004808205,0.0000233403,0.001597308,0.0002007441,0.0001660942,0.0004969578,0.002623122,0.9909184,0.00001746061],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004396926,0.01018964,0.002838073,0.008248256,0.002713519,0.0001051891,0.002858062,0.001775929,0.9668743],"genre_scores_gemma":[0.01089048,0.003553506,0.001996017,0.001805151,0.0006025508,0.0000690329,0.001939651,0.0002608979,0.9788826],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0837853,"threshold_uncertainty_score":0.1195095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009985109756265001,"score_gpt":0.2310861462001951,"score_spread":0.2211010364439301,"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."}}