{"id":"W3011145000","doi":"10.1002/ijc.32967","title":"Major multilevel molecular divergence between THP‐1 cells from different biorepositories","year":2020,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Maisonneuve-Rosemont; Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Leukemia and Lymphoma Society of Canada","keywords":"Biology; THP1 cell line; Myeloid leukemia; Cell culture; Loss of heterozygosity; Monocytic leukemia; Phenotype; Cancer research; Leukemia; Myeloid; Computational biology; Genetics; Molecular biology; Gene; Cell biology; Allele","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008206062,0.0002395678,0.0004435942,0.0007627382,0.0005820412,0.0008405352,0.0003938768,0.000353209,0.001328952],"category_scores_gemma":[0.001511688,0.0002027245,0.0002907906,0.0006731601,0.0004494979,0.0002784013,0.0007495289,0.0006910405,0.0006506686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002910089,"about_ca_system_score_gemma":0.0002663603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00074015,"about_ca_topic_score_gemma":0.0007293532,"domain_scores_codex":[0.9987866,0.0002845663,0.0001609501,0.0002802545,0.000328965,0.0001585827],"domain_scores_gemma":[0.9990107,0.0003461166,0.0001392238,0.0001987836,0.0001916017,0.00011356],"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":[0.0003307824,0.00004869734,0.01590067,0.00007174467,0.00004407942,0.000256788,0.0005231564,0.00007259572,0.9794542,0.0004067995,0.0001089441,0.002781485],"study_design_scores_gemma":[0.00005708801,0.001038137,0.3718461,0.00005419085,0.0002461743,0.006824615,0.002253183,0.00190621,0.6032918,0.001572743,0.01084475,0.00006491718],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821298,0.0008051269,0.01256787,0.000174245,0.00007492697,0.0001219739,0.001533738,0.00006143824,0.002530899],"genre_scores_gemma":[0.9886898,0.0002774391,0.006962466,0.0002828685,0.00002939747,0.0001173971,0.002725599,0.0000390961,0.0008758871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001328952,"threshold_uncertainty_score":0.004445791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820173870952105,"score_gpt":0.3402679494682558,"score_spread":0.3120662107587348,"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."}}