{"id":"W2099844273","doi":"10.1186/2050-7771-2-10","title":"Micro-RNAs, New performers in multiple myeloma bone marrow microenvironment","year":2014,"lang":"en","type":"review","venue":"Biomarker Research","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network; University of Toronto","funders":"Cancer Research Society","keywords":"Stromal cell; Multiple myeloma; Bone marrow; Microvesicles; microRNA; Context (archaeology); Tumor microenvironment; Cancer research; Medicine; Secretion; Biology; Immunology; Gene; Tumor cells; Genetics; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003226804,0.0005372078,0.0008767842,0.001351728,0.0002782248,0.0008768348,0.0003863209,0.0008576873,0.002108644],"category_scores_gemma":[0.0003591111,0.0002459724,0.0003217462,0.001106857,0.0004148322,0.001107646,0.0005265614,0.001154722,0.001357328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004092262,"about_ca_system_score_gemma":0.0006632427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005206609,"about_ca_topic_score_gemma":0.001007523,"domain_scores_codex":[0.9998767,0.00001871763,0.00001847964,0.00002422768,0.0000507775,0.00001099409],"domain_scores_gemma":[0.9998802,0.00005354749,0.00001937862,0.000003805389,0.00003114498,0.00001185571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008647936,0.00005956605,0.0003066261,0.01264956,0.00007117513,0.0004026236,0.0001240409,0.0002534235,0.01007362,0.005514976,0.01403699,0.9564209],"study_design_scores_gemma":[0.00001162115,0.00009798163,0.0009174475,0.001329246,0.00007680192,0.002028682,0.00007786547,0.00009456262,0.002999335,0.002453078,0.9898953,0.00001814699],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002098214,0.9985648,0.000172859,0.0001939835,0.0001271605,0.000002747484,0.00001032532,0.000006660999,0.0007116452],"genre_scores_gemma":[0.001435956,0.9970624,0.0003124009,0.0001473242,0.0001529468,0.000005761438,0.00002025456,0.000001790535,0.0008611209],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002108644,"threshold_uncertainty_score":0.00705409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1701017107470398,"score_gpt":0.4199784393830314,"score_spread":0.2498767286359916,"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."}}