{"id":"W2114908650","doi":"10.3324/haematol.2011.054254","title":"Natural killer cell lines preferentially kill clonogenic multiple myeloma cells and decrease myeloma engraftment in a bioluminescent xenograft mouse model","year":2012,"lang":"en","type":"article","venue":"Haematologica","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Ontario Institute for Cancer Research; University of Toronto; Princess Margaret Cancer Centre","funders":"National Cancer Institute; CRIS Cancer Foundation; University of Toronto; Ontario Institute for Cancer Research; University Health Network","keywords":"Clonogenic assay; Cytotoxicity; Cancer research; Multiple myeloma; Lymphokine-activated killer cell; Bone marrow; Biology; Natural killer cell; Immunology; Progenitor cell; Cell culture; Stem cell; Interleukin 21; T cell; In vitro; Cell biology; Immune system","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002389052,0.0005245681,0.0008035068,0.0003225576,0.000156931,0.00004942785,0.0001901144,0.0002654477,0.0001450826],"category_scores_gemma":[0.0002381253,0.0003728194,0.0002156241,0.0002498834,0.0001735944,0.0001984124,0.0002803765,0.0003882187,0.000138962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001437363,"about_ca_system_score_gemma":0.000126127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000148899,"about_ca_topic_score_gemma":0.000181944,"domain_scores_codex":[0.9969202,0.0001604756,0.0005942154,0.0006407477,0.0004712093,0.001213115],"domain_scores_gemma":[0.9979302,0.0001821662,0.0001473107,0.0005528526,0.0001125598,0.001074867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006773475,0.0123909,0.7164525,0.001393933,0.0006812457,0.0009869118,0.002236161,0.00007639042,0.2449004,0.0002807697,0.002694759,0.01113259],"study_design_scores_gemma":[0.02403943,0.001158266,0.2566133,0.0003282276,0.0003770359,0.0004405361,0.0004363875,0.03444381,0.6776495,0.00008082965,0.003098633,0.001334027],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994114,0.003071707,0.00007081036,0.0002819984,0.0002009623,0.001722761,0.00004659153,0.000150995,0.0003401322],"genre_scores_gemma":[0.9880443,0.0008069572,0.008487329,0.0002378042,0.00008577513,0.0003002125,0.0001985995,0.0000534669,0.001785523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4598392,"threshold_uncertainty_score":0.9998724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03143935893418044,"score_gpt":0.2802471565983891,"score_spread":0.2488077976642087,"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."}}