{"id":"W3216998789","doi":"10.1182/blood-2021-148715","title":"Generating Large Numbers of Human Megakaryocytes from Pluripotent Stem Cells","year":2021,"lang":"en","type":"article","venue":"Blood","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Stemcell Technologies","funders":"","keywords":"Haematopoiesis; Biology; Induced pluripotent stem cell; Progenitor cell; Stem cell; Thrombopoiesis; Cell biology; Immunology; Thrombopoietin; Platelet; Megakaryocyte; Genetics; Embryonic stem cell; Gene","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":[0.0004115428,0.000337176,0.0002157436,0.0003014142,0.0001757297,0.0003197284,0.000269594,0.0002728023,0.002826635],"category_scores_gemma":[0.0001726078,0.000213974,0.0002633897,0.0002177588,0.0001481012,0.0002043317,0.0005200481,0.00063566,0.00124835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000124079,"about_ca_system_score_gemma":0.0001991552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001108777,"about_ca_topic_score_gemma":0.0002633124,"domain_scores_codex":[0.9997861,0.00002438307,0.00005242669,0.00003924549,0.00007870148,0.00001920731],"domain_scores_gemma":[0.9998977,0.0000210743,0.00001689399,0.00002427625,0.00002038405,0.00001960524],"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":[0.00004687251,0.00002296075,0.0004012326,0.0001530561,0.0000123711,0.0001431602,0.00004576143,0.0002331145,0.9873439,0.0009664542,0.0005186748,0.01011257],"study_design_scores_gemma":[0.00004082731,0.0002440249,0.002283314,0.00004362385,0.00004652742,0.0004971375,0.00002805164,0.001811223,0.9601538,0.0003765073,0.03446466,0.00001043187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6847197,0.009142109,0.2680905,0.00059502,0.0005847472,0.002156745,0.01036745,0.002163626,0.02218015],"genre_scores_gemma":[0.8530412,0.005040979,0.1106935,0.0003149727,0.00007917801,0.001231266,0.01298991,0.000302348,0.01630656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002826635,"threshold_uncertainty_score":0.009456038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417762317294898,"score_gpt":0.2455789967534864,"score_spread":0.2314013735805374,"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."}}