{"id":"W3191257639","doi":"10.18632/oncoscience.540","title":"Advances in culture methods for acute myeloid leukemia research","year":2021,"lang":"en","type":"article","venue":"Oncoscience","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Myeloid leukemia; Medicine; 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":[0.002504562,0.001093454,0.001154735,0.002910884,0.0008370525,0.002153009,0.0009827843,0.001196495,0.005293149],"category_scores_gemma":[0.002192334,0.0006823794,0.001275562,0.002603694,0.0008425889,0.001507557,0.001473604,0.003085274,0.006120008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00089836,"about_ca_system_score_gemma":0.001030617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001082884,"about_ca_topic_score_gemma":0.001712368,"domain_scores_codex":[0.996906,0.0005708788,0.0003272977,0.0005128388,0.001579876,0.0001031883],"domain_scores_gemma":[0.9974216,0.0009876601,0.0003167922,0.0003986052,0.0007447568,0.0001305372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001525208,0.0002304146,0.001162532,0.004630561,0.00008801983,0.0006075778,0.0007359404,0.001339684,0.5592732,0.01302847,0.01382878,0.4049222],"study_design_scores_gemma":[0.00002747749,0.0003372894,0.002943096,0.000759055,0.0001881029,0.002838154,0.0002101504,0.002461488,0.2383266,0.006660111,0.7451017,0.0001469273],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02073281,0.383899,0.5433365,0.003515529,0.004868757,0.0007912893,0.00153354,0.001968906,0.0393537],"genre_scores_gemma":[0.06059171,0.4039109,0.5008192,0.00200769,0.00213481,0.001915607,0.003264121,0.0008757683,0.02448011],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005293149,"threshold_uncertainty_score":0.01770741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06408020529977325,"score_gpt":0.4976716658960388,"score_spread":0.4335914605962655,"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."}}