{"id":"W2908861200","doi":"10.1182/bloodadvances.2019000923","title":"Weighty choices: selecting optimal G-CSF doses for stem cell mobilization to optimize yield","year":2020,"lang":"en","type":"article","venue":"Blood Advances","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Mobilization; Yield (engineering); Stem cell; Internal medicine; Medicine; Cell biology; Biology; Political science","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":[0.001150807,0.0002556574,0.0002456663,0.0004728549,0.0001449609,0.0004777453,0.0002060053,0.0001787458,0.000622361],"category_scores_gemma":[0.001680658,0.00009120766,0.0001924066,0.000314221,0.0001801743,0.0003749618,0.000444082,0.0002618623,0.0001590615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466711,"about_ca_system_score_gemma":0.0003472822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003711809,"about_ca_topic_score_gemma":0.0009259171,"domain_scores_codex":[0.9996947,0.0001236228,0.00003506742,0.00003309422,0.00008036925,0.00003329623],"domain_scores_gemma":[0.9996266,0.0001365055,0.000135583,0.00002050815,0.00002588417,0.00005487859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008259241,0.001512704,0.3633962,0.0005045358,0.0003183168,0.0005764668,0.0005657187,0.007172763,0.159749,0.0006925601,0.001468599,0.4557839],"study_design_scores_gemma":[0.0007639349,0.01993273,0.7735392,0.0005123548,0.0006999712,0.003099082,0.001684704,0.01257813,0.1662252,0.002711943,0.01815182,0.0001009971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924397,0.003090054,0.003218988,0.0002862701,0.00002231936,0.00009034705,0.00005203818,0.00001483487,0.0007854037],"genre_scores_gemma":[0.9918993,0.00170274,0.005821645,0.0002075038,0.00002855209,0.00005990328,0.00006526856,0.00001037037,0.0002049256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001150807,"threshold_uncertainty_score":0.006086111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03214436777740901,"score_gpt":0.2782178132010064,"score_spread":0.2460734454235974,"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."}}