{"id":"W2060013642","doi":"10.1182/blood-2012-04-415034","title":"Chopped and diced: Dicer1 deletion generates myeloid dysplasia","year":2012,"lang":"en","type":"letter","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Medicine; Myeloid; Cancer research","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":[],"consensus_categories":[],"category_scores_codex":[0.0005319625,0.0004342389,0.0005035191,0.0003252745,0.0004797914,0.0005727158,0.0004491786,0.003769783,0.001551702],"category_scores_gemma":[0.001768819,0.0002469563,0.0003459568,0.0001780191,0.0006484246,0.000430097,0.0003143277,0.003467117,0.00205124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008371338,"about_ca_system_score_gemma":0.0001815711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003088267,"about_ca_topic_score_gemma":0.0006613409,"domain_scores_codex":[0.9995956,0.0001020957,0.00004811651,0.00005304884,0.000136497,0.00006474463],"domain_scores_gemma":[0.999368,0.0003235408,0.00006997595,0.00004626213,0.00009845686,0.00009381102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001417579,0.0003947672,0.007416411,0.0002959688,0.0001140528,0.122104,0.0003952932,0.0006262847,0.07716823,0.01060779,0.6302348,0.1492247],"study_design_scores_gemma":[0.0006888796,0.0008548462,0.01001979,0.0001296992,0.0001495957,0.1728832,0.0002984048,0.004239226,0.05038848,0.01026164,0.7499962,0.00008997858],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.120843,0.01172207,0.01230852,0.767962,0.04904833,0.0003435694,0.000622374,0.001343636,0.03580655],"genre_scores_gemma":[0.4680047,0.01887194,0.0118675,0.3765422,0.05517975,0.0003676382,0.0005349048,0.0002364192,0.06839485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003769783,"threshold_uncertainty_score":0.006073833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913930568128071,"score_gpt":0.2655508589859952,"score_spread":0.2464115533047145,"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."}}