{"id":"W4406489667","doi":"10.1016/j.yonc.2013.07.036","title":"10.1016/j.yonc.2013.07.036","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Myeloid leukaemia; Induction therapy; Chronic myeloid leukaemia; Classifier (UML); Profiling (computer programming); Pediatrics; Oncology; Internal medicine; Artificial intelligence","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":[0.000737261,0.00100232,0.0006296574,0.001870847,0.001319179,0.003479406,0.001070528,0.003450202,0.9143885],"category_scores_gemma":[0.00155747,0.0004360101,0.0006164917,0.0008651434,0.000990455,0.002171071,0.001458334,0.00173316,0.8732447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001046157,"about_ca_system_score_gemma":0.001558797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002480709,"about_ca_topic_score_gemma":0.002868059,"domain_scores_codex":[0.9996905,0.00002512324,0.00002175977,0.00008620105,0.00009419,0.00008226813],"domain_scores_gemma":[0.9988355,0.000158268,0.00011519,0.00007678784,0.0002532705,0.0005610134],"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":[0.0003161523,0.000261312,0.004310366,0.0003936215,0.00003703182,0.0003760277,0.0001290328,0.0002201075,0.001336433,0.006393237,0.3864782,0.5997483],"study_design_scores_gemma":[0.00005095876,0.00008380784,0.004169262,0.0005989647,0.00003066357,0.001997754,0.000229109,0.0001807048,0.0005170384,0.003562445,0.9885561,0.00002325946],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004890188,0.01200396,0.003047262,0.01023365,0.003420463,0.0001305264,0.003627184,0.001974853,0.960672],"genre_scores_gemma":[0.01222067,0.004110414,0.002019956,0.002266685,0.0007642789,0.00008228856,0.002333101,0.0003211671,0.9758814],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08561146,"threshold_uncertainty_score":0.1221143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104843189335746,"score_gpt":0.2317877512078496,"score_spread":0.221303432274275,"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."}}