{"id":"W7007323377","doi":"","title":"혈소판 감소를 동반하는 질병별 혈중 Thrombopoietin과 골수단핵구세포의 거핵구집락형성","year":2017,"lang":"en","type":"article","venue":"KUMeL Repository (Keimyung University)","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thrombopoietin; Megakaryocyte; Aplastic anemia; Platelet; Thrombocytopenic purpura; Bone marrow failure; Bone marrow; Thrombopoiesis; Chemotherapy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007388409,0.0002859951,0.0004802536,0.0002081242,0.001259177,0.0001156498,0.000430172,0.0002148756,0.00007420289],"category_scores_gemma":[0.00004780296,0.0002834387,0.0002421602,0.0001289682,0.0002212606,0.0004171449,0.0002074195,0.0002724008,0.0001420016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002418313,"about_ca_system_score_gemma":0.0001717604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005052758,"about_ca_topic_score_gemma":0.0000595519,"domain_scores_codex":[0.9984791,0.0000478155,0.0001889795,0.0005307486,0.0003256582,0.0004276827],"domain_scores_gemma":[0.9981589,0.00003337299,0.0002499882,0.00111459,0.0001361242,0.0003070221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002196437,0.003371395,0.7865712,0.0004653616,0.003501246,0.1021744,0.001847182,0.00002838957,0.04681194,0.008888757,0.03061344,0.0135303],"study_design_scores_gemma":[0.01372243,0.001162025,0.5829336,0.0005116187,0.001694646,0.001644282,0.001891911,0.0003511116,0.02339109,0.0003898296,0.3709914,0.001315987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6858932,0.0001617785,0.00005221619,0.0005554642,0.0005515238,0.0002746925,0.000007018812,0.0001426227,0.3123615],"genre_scores_gemma":[0.9163443,0.0001014753,0.0003355833,0.00009411926,0.0001543113,0.000001131722,0.00002222276,0.00003200235,0.08291481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.340378,"threshold_uncertainty_score":0.9999618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394659168531637,"score_gpt":0.2340907507819167,"score_spread":0.2201441590966004,"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."}}