{"id":"W2075163562","doi":"10.1016/j.beha.2005.11.007","title":"How good is allogeneic transplantation for high-risk patients with AML?","year":2006,"lang":"en","type":"review","venue":"Best Practice & Research Clinical Haematology","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Oncology; Transplantation; Myeloid leukemia; Malignancy; Cytogenetics; Induction therapy; Internal medicine; Leukemia; Immunology; Chemotherapy; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.009240692,0.0008754059,0.005170842,0.0009957226,0.000506771,0.000243993,0.001059606,0.002434859,0.0000916595],"category_scores_gemma":[0.02416942,0.0006105826,0.0009631725,0.001376809,0.001502571,0.0005718226,0.0003002064,0.007110774,0.0006620602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000668787,"about_ca_system_score_gemma":0.005434439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006540781,"about_ca_topic_score_gemma":0.0002127068,"domain_scores_codex":[0.9838588,0.00707826,0.002314185,0.002192695,0.002509984,0.002046068],"domain_scores_gemma":[0.9531217,0.03883597,0.001548729,0.001835963,0.003807267,0.0008503775],"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":[0.004354944,0.004782397,0.002990093,0.03324091,0.002365722,0.002688699,0.00004132266,1.312851e-7,1.114231e-7,0.001326652,0.02872707,0.9194819],"study_design_scores_gemma":[0.007413124,0.009005021,0.0001957622,0.004551621,0.006660355,0.001675617,0.00006828995,0.000008121829,0.00000256262,0.0001519516,0.9697222,0.0005454328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001968188,0.9694843,0.001388771,0.008849443,0.0004527582,0.0148041,0.001414106,0.0001337192,0.001504601],"genre_scores_gemma":[0.0002035322,0.9794518,0.00987395,0.0003086296,0.0008430613,0.002025951,0.003266372,0.0003154122,0.003711228],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9409951,"threshold_uncertainty_score":0.9996346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1646248301044061,"score_gpt":0.511375033474166,"score_spread":0.3467502033697599,"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."}}