{"id":"W2131084149","doi":"10.1111/j.1537-2995.2011.03369.x","title":"Cellular‐based therapies to prevent or reduce thrombocytopenia","year":2011,"lang":"en","type":"article","venue":"Transfusion","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Héma-Québec","funders":"National Blood Foundation; Université Laval","keywords":"Nod; Haematopoiesis; Ex vivo; Humanized mouse; Immunology; Transplantation; Platelet; Medicine; In vivo; Stem cell; Cancer research; Hematopoietic stem cell transplantation; Context (archaeology); Biology; Immune system; Internal medicine; Cell biology","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":[0.0001580796,0.0004034777,0.0002714798,0.0004055107,0.00008299592,0.0003279043,0.0002478843,0.0003277986,0.001822434],"category_scores_gemma":[0.0001408601,0.00005436309,0.0002238119,0.0001696612,0.0001946265,0.0001306323,0.0002360557,0.0006567859,0.0004392605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001794275,"about_ca_system_score_gemma":0.0001526179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001276076,"about_ca_topic_score_gemma":0.0002697982,"domain_scores_codex":[0.9999143,0.00001647802,0.000007976363,0.000009936093,0.00003424598,0.00001711187],"domain_scores_gemma":[0.9999434,0.00001205281,0.00002252168,0.000004823763,0.000007982981,0.00000927189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001033476,0.000949759,0.001857688,0.00439705,0.0002372984,0.0008508411,0.00007195552,0.00152519,0.6772916,0.005441785,0.0121454,0.294198],"study_design_scores_gemma":[0.001300671,0.01182502,0.01309257,0.001388094,0.0007992154,0.007897341,0.000102315,0.002458367,0.5734679,0.002563232,0.385067,0.0000381789],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.3349807,0.6018326,0.02963653,0.004152462,0.001594778,0.0005460776,0.001442976,0.001184189,0.02462978],"genre_scores_gemma":[0.6975111,0.2797233,0.009975009,0.002169186,0.000812961,0.00046347,0.001685639,0.00005605391,0.007603179],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001822434,"threshold_uncertainty_score":0.006096661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06319357018791823,"score_gpt":0.2982396546443484,"score_spread":0.2350460844564302,"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."}}