{"id":"W3108287138","doi":"10.1182/blood.2020007667","title":"Making a bet on RET for hematopoietic stem cell expansion","year":2020,"lang":"en","type":"letter","venue":"Blood","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Stem cell; Hematopoietic stem cell; Haematopoiesis; Medicine; Cancer research; Biology; Genetics","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":[0.001545925,0.0003369907,0.0003498322,0.0002989219,0.001072949,0.00127492,0.0006987337,0.01117864,0.004980362],"category_scores_gemma":[0.008226966,0.0002191922,0.0006525696,0.000166397,0.001300456,0.001084976,0.0006330687,0.01168336,0.005317464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271217,"about_ca_system_score_gemma":0.0007627095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001000845,"about_ca_topic_score_gemma":0.002293087,"domain_scores_codex":[0.9985198,0.0005210239,0.0001560901,0.0001700306,0.0005218748,0.0001112489],"domain_scores_gemma":[0.9976766,0.001631757,0.0001107382,0.0001096111,0.000297609,0.000173778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001850272,0.0001364768,0.002173557,0.0001358525,0.00003798404,0.01045968,0.0002151448,0.0002588324,0.003648055,0.01353745,0.8834596,0.08575244],"study_design_scores_gemma":[0.0001218907,0.000143025,0.0009658743,0.0001473698,0.00002464603,0.009417559,0.0002362568,0.0007295455,0.002217458,0.01408105,0.9718828,0.00003255684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004199204,0.005513376,0.00173008,0.9432338,0.02704682,0.00005569491,0.00005221944,0.0001098402,0.01805886],"genre_scores_gemma":[0.04556593,0.004699029,0.0034425,0.8721917,0.03225167,0.0001354225,0.00006307042,0.00005757713,0.04159311],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01117864,"threshold_uncertainty_score":0.01666093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04982892904963825,"score_gpt":0.2822119462205718,"score_spread":0.2323830171709335,"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."}}