{"id":"W4401300973","doi":"10.1002/cyto.a.24891","title":"Best practices for user consultation in flow cytometry shared resource laboratories","year":2024,"lang":"en","type":"article","venue":"Cytometry Part A","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Cleveland Clinic","keywords":"Flow cytometry; Computer science; Cytometry; Resource (disambiguation); Data science; Medicine; Immunology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3738544,0.001762616,0.001709273,0.006577101,0.0197412,0.02548038,0.01415886,0.01437143,0.008651298],"category_scores_gemma":[0.3261805,0.002739183,0.00278787,0.00421707,0.02722818,0.02071481,0.04498905,0.01258341,0.01011685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01476611,"about_ca_system_score_gemma":0.05610184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00633014,"about_ca_topic_score_gemma":0.01120762,"domain_scores_codex":[0.3037923,0.6058916,0.02267537,0.01206108,0.04497653,0.01060313],"domain_scores_gemma":[0.5406125,0.2634809,0.02082427,0.07379143,0.07703762,0.0242533],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004942802,0.001225358,0.007162882,0.003854484,0.0002142855,0.002947653,0.212539,0.003534883,0.009190788,0.1365312,0.1449932,0.477312],"study_design_scores_gemma":[0.000215845,0.0007068011,0.002580939,0.006111102,0.0001010576,0.002285984,0.07618268,0.00472732,0.007206189,0.1423654,0.7568439,0.0006728867],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02127223,0.004403307,0.7651645,0.1207463,0.001569735,0.006285559,0.0001794191,0.007956753,0.07242227],"genre_scores_gemma":[0.1527196,0.001764909,0.7998776,0.02217121,0.0005119579,0.007565057,0.0002783145,0.001941862,0.01316953],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3738544,"threshold_uncertainty_score":0.772149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0448073165545767,"score_gpt":0.3260384573167125,"score_spread":0.2812311407621358,"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."}}