{"id":"W2314961315","doi":"10.1158/1538-7445.am10-lb-388","title":"Abstract LB-388: Macrophage migration inhibitory factor (MIF) plays a role in proliferation, differentiation, and survival of Ewing tumor cells through the activation of several kinases","year":2010,"lang":"en","type":"article","venue":"Cancer Research","topic":"Macrophage Migration Inhibitory Factor","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Macrophage migration inhibitory factor; Cancer research; Cancer; Signal transduction; Cell growth; Chemokine; Kinase; Tumor-associated macrophage; Tyrosine kinase; Cytokine; Cancer cell; Biology; Medicine; Immunology; Cell biology; Tumor microenvironment; Internal medicine; Immune system; Tumor cells","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":[0.00010251,0.0007241446,0.0002870949,0.0003878176,0.0002916096,0.0003164936,0.0003580664,0.0003062326,0.02130149],"category_scores_gemma":[0.0001250859,0.0001012936,0.0002086206,0.0002043332,0.0001397621,0.0003013498,0.0002928262,0.0005129043,0.00642669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005487862,"about_ca_system_score_gemma":0.0002928723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001418163,"about_ca_topic_score_gemma":0.001047403,"domain_scores_codex":[0.9999101,0.00001287525,0.000006885942,0.00001599156,0.0000287331,0.00002541129],"domain_scores_gemma":[0.9999601,0.000004364572,0.000008366806,0.000002813251,0.000008659227,0.00001576308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001446471,0.0001457509,0.0008367283,0.0004226057,0.00001471719,0.0004895786,0.00002895061,0.0001672778,0.9446321,0.001032818,0.0138142,0.03696877],"study_design_scores_gemma":[0.0002009815,0.0007843284,0.01405948,0.00007774417,0.00006411378,0.00138321,0.00005881335,0.001121406,0.8321697,0.0005721106,0.1494914,0.00001668226],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7803175,0.06340059,0.01565756,0.008823563,0.005690991,0.0004726132,0.01909314,0.002123842,0.1044201],"genre_scores_gemma":[0.8413215,0.01211422,0.005642689,0.0005769666,0.001013465,0.0001736654,0.01371276,0.0001157032,0.1253291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02130149,"threshold_uncertainty_score":0.07126057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03017307997180202,"score_gpt":0.3127575335975208,"score_spread":0.2825844536257188,"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."}}