{"id":"W3014562740","doi":"10.1126/scitranslmed.aay9924","title":"Control of brain tumor growth by reactivating myeloid cells with niacin","year":2020,"lang":"en","type":"article","venue":"Science Translational Medicine","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Myeloid cells; Niacin; Myeloid; Cancer research; Medicine; Glioblastoma; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003371479,0.0001328459,0.00032693,0.000108099,0.00008611258,0.000005493923,0.0001051873,0.00001638,0.0001556891],"category_scores_gemma":[0.0002396652,0.00008288688,0.00003431304,0.0008411174,0.0006940077,0.0001390116,0.000004665643,0.0001025405,0.000006265243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002385112,"about_ca_system_score_gemma":0.0002213504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000828976,"about_ca_topic_score_gemma":0.000002567028,"domain_scores_codex":[0.9982153,0.00001916804,0.0002857591,0.000317118,0.0009507679,0.0002118619],"domain_scores_gemma":[0.9989749,0.0002893707,0.0001152029,0.0001078499,0.0002306209,0.0002820955],"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":[0.0002619257,0.0001269518,0.03159853,0.00005626588,0.00003320018,0.00002855997,0.0007722483,0.0000388433,0.9638394,0.001239968,0.0009445466,0.00105955],"study_design_scores_gemma":[0.02198396,0.004066969,0.1204718,0.0007628335,0.0003096813,0.00009177289,0.0006202912,0.00539052,0.8441591,0.0003496764,0.001480655,0.0003126888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8310139,0.000290315,0.004469282,0.16119,0.00005665442,0.0006096804,0.00004312122,0.00004035622,0.002286666],"genre_scores_gemma":[0.9943215,0.000003589578,0.001455182,0.004066689,0.0001021894,0.00001500032,0.00001683421,0.00001003077,0.000008984326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1633076,"threshold_uncertainty_score":0.3380029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369889927438179,"score_gpt":0.2524375621956543,"score_spread":0.2387386629212725,"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."}}