{"id":"W1982192898","doi":"10.1016/j.clml.2011.06.015","title":"Ribosomal Protein Metallopanstimulin-1 Impairs Multiple Myeloma CAG Cells Growth and Inhibits Fibroblast Growth Factor Receptor 3","year":2011,"lang":"en","type":"article","venue":"Clinical Lymphoma Myeloma & Leukemia","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health; McGill University","keywords":"Fibroblast growth factor receptor; MAPK/ERK pathway; Fibroblast growth factor receptor 3; Fibroblast growth factor; Cancer research; Fibroblast growth factor receptor 1; Multiple myeloma; Biology; Fibroblast growth factor receptor 4; Cell growth; Receptor; Signal transduction; Molecular biology; Cell biology; Immunology; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002471801,0.0003656266,0.0003200562,0.0004624281,0.0002834079,0.0003494907,0.0004537537,0.0004290066,0.001954191],"category_scores_gemma":[0.0002890572,0.0001750807,0.0001927434,0.0002243492,0.000386404,0.0001318789,0.0001719723,0.0007323641,0.0005259499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006528007,"about_ca_system_score_gemma":0.0003735334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001094291,"about_ca_topic_score_gemma":0.001889312,"domain_scores_codex":[0.9996955,0.00007305743,0.00002982639,0.000036778,0.0000860817,0.00007884707],"domain_scores_gemma":[0.999777,0.00007014479,0.00005115533,0.00002796001,0.00001443101,0.00005935538],"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":[0.0003687475,0.0001092589,0.0002825118,0.00001323175,0.000008494447,0.00009286809,0.000009410282,0.0001111009,0.9977557,0.0001567259,0.0001887589,0.0009033656],"study_design_scores_gemma":[0.0000753725,0.0005531085,0.00290416,0.000002335159,0.0000171133,0.0005216613,0.00003010494,0.0009136836,0.9927326,0.00006491216,0.00218119,0.00000375836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962351,0.0005829228,0.0008210144,0.0002871151,0.0000589062,0.00002336918,0.0003367649,0.0001257668,0.001529071],"genre_scores_gemma":[0.9967186,0.0001828129,0.0005472901,0.00004965046,0.00001627085,0.00001904314,0.0005474287,0.00002276902,0.001896271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001954191,"threshold_uncertainty_score":0.006537437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743051319058666,"score_gpt":0.270227686616237,"score_spread":0.2427971734256504,"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."}}