{"id":"W4385391472","doi":"10.1016/j.jmoldx.2023.05.002","title":"Genomic Data Heterogeneity across Molecular Diagnostic Laboratories","year":2023,"lang":"en","type":"article","venue":"Journal of Molecular Diagnostics","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Taiho Pharmaceutical; TG Therapeutics; CTI Biopharma; Karyopharm Therapeutics; Sierra Oncology; Leukemia and Lymphoma Society; Bristol-Myers Squibb","keywords":"Computational biology; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09885686,0.0004688457,0.001079955,0.007035041,0.0007868737,0.004658166,0.002475817,0.0007767344,0.001683777],"category_scores_gemma":[0.2375351,0.0007191391,0.0009362561,0.008548707,0.001575997,0.001808935,0.004083368,0.0008606066,0.000679005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002300926,"about_ca_system_score_gemma":0.002405992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002810241,"about_ca_topic_score_gemma":0.002059953,"domain_scores_codex":[0.8083184,0.09654948,0.03238421,0.02518359,0.03504355,0.002520792],"domain_scores_gemma":[0.6098564,0.2336315,0.05885381,0.06514543,0.03081155,0.001701336],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00137413,0.0001319186,0.8430591,0.001008041,0.001063589,0.0008510221,0.004936613,0.00275826,0.004048043,0.005068666,0.005633933,0.1300666],"study_design_scores_gemma":[0.0005026342,0.0008854537,0.8488518,0.001704894,0.001658385,0.00583009,0.004953168,0.01301036,0.0185743,0.02112816,0.0825998,0.0003009156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8489688,0.0060365,0.1002324,0.004316592,0.0002930559,0.002743417,0.02308015,0.001381954,0.01294702],"genre_scores_gemma":[0.9484818,0.0008285354,0.03278847,0.001663123,0.0002731725,0.001975461,0.01284532,0.0002721887,0.0008718764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9011431,"threshold_uncertainty_score":0.5228113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03910317410278107,"score_gpt":0.3643692789306439,"score_spread":0.3252661048278628,"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."}}