{"id":"W4388598118","doi":"10.1016/j.rpth.2023.100933","title":"PB0141 Characterizing the Transcriptomic Profile of Acquired Hemophilia Using RNA-Seq","year":2023,"lang":"en","type":"article","venue":"Research and Practice in Thrombosis and Haemostasis","topic":"Hemophilia Treatment and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"RNA-Seq; Transcriptome; Computational biology; Biology; Computer science; Genetics; Gene expression; 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":[0.0005092167,0.0003239617,0.0005687705,0.0005621998,0.0003774475,0.0008654048,0.0002391315,0.000407592,0.003165007],"category_scores_gemma":[0.0009244706,0.0002091065,0.0003992696,0.0008179013,0.000253181,0.0001643477,0.0003891341,0.0005982102,0.001093869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001958253,"about_ca_system_score_gemma":0.0004509054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006713776,"about_ca_topic_score_gemma":0.001046579,"domain_scores_codex":[0.9996322,0.0000548338,0.00002048831,0.0001531034,0.00009027366,0.00004895631],"domain_scores_gemma":[0.9995959,0.000171234,0.0000935383,0.00002868911,0.00007762263,0.00003303943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003028754,0.0002229039,0.1346228,0.001616793,0.0005555838,0.000536947,0.000472957,0.00321055,0.7643295,0.001011759,0.009329828,0.08106156],"study_design_scores_gemma":[0.0003397496,0.00184297,0.7789435,0.0004794652,0.0009645117,0.002270595,0.0008287512,0.04018318,0.09946868,0.003147055,0.0714229,0.0001087034],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8820533,0.008420408,0.03152045,0.0007951488,0.000297075,0.0002543443,0.07043613,0.000540868,0.005682214],"genre_scores_gemma":[0.8846689,0.003856746,0.02948841,0.001134602,0.0002027995,0.0009996642,0.07281476,0.000300786,0.006533445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003165007,"threshold_uncertainty_score":0.01058799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3002777584314442,"score_gpt":0.4707262483450345,"score_spread":0.1704484899135904,"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."}}