{"id":"W4391286250","doi":"10.14740/jmc4188","title":"Early Detection and Diagnostic Approach Through Automated Hematological Analysis for Plasma Cell Leukemia","year":2024,"lang":"en","type":"article","venue":"Journal of Medical Cases","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Plasma cell leukemia; Multiple myeloma; Hematology; Hematology analyzer; Context (archaeology); Bone marrow; Leukemia; Bone marrow aspirate; Internal medicine; Oncology; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048154,0.0004048613,0.0002519774,0.002033671,0.0003217063,0.000840953,0.000595989,0.0005944918,0.0005915542],"category_scores_gemma":[0.001398478,0.0002395463,0.0002056483,0.000498989,0.0004160524,0.0006824697,0.0007269123,0.0008612092,0.0004906583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003087952,"about_ca_system_score_gemma":0.0004056552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005191693,"about_ca_topic_score_gemma":0.0006750131,"domain_scores_codex":[0.9995621,0.0001268944,0.00005258417,0.00006760949,0.0001378282,0.0000530422],"domain_scores_gemma":[0.9996647,0.0001060479,0.0000554653,0.0000486239,0.00008411871,0.00004107669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005957668,0.0003084682,0.3359712,0.0004884262,0.0000548337,0.07888682,0.0007755542,0.001907303,0.125213,0.002848844,0.005593557,0.4473562],"study_design_scores_gemma":[0.00007876155,0.001016585,0.1919959,0.0005656308,0.0002512783,0.4619264,0.00162967,0.0637321,0.1925748,0.008702306,0.07731928,0.0002072371],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8057534,0.01518502,0.1560259,0.003824005,0.0004060517,0.0003501491,0.0004073281,0.002279206,0.015769],"genre_scores_gemma":[0.9487587,0.003004483,0.0460407,0.0006169684,0.0002502035,0.00003982986,0.0002295905,0.00005253031,0.001007157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002033671,"threshold_uncertainty_score":0.002546668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04739899582469714,"score_gpt":0.3490893142042082,"score_spread":0.301690318379511,"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."}}