{"id":"W3200709078","doi":"10.1111/jth.15526","title":"Consensus recommendations on flow cytometry for the assessment of inherited and acquired disorders of platelet number and function: Communication from the ISTH SSC Subcommittee on Platelet Physiology","year":2021,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Standardization; Medicine; Flow cytometry; Function (biology); Platelet; Intensive care medicine; Quality (philosophy); Control (management); Medical physics; Immunology; Computer science; Biology; Artificial intelligence","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":[0.09870992,0.002290439,0.00454508,0.007790983,0.00365819,0.007203313,0.01514101,0.0309707,0.004912202],"category_scores_gemma":[0.101744,0.002344297,0.007579988,0.004474598,0.005410026,0.003869465,0.005895753,0.03198128,0.006804386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006407593,"about_ca_system_score_gemma":0.02959941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0256071,"about_ca_topic_score_gemma":0.02321669,"domain_scores_codex":[0.932144,0.02502005,0.01502343,0.003135876,0.02066104,0.004015659],"domain_scores_gemma":[0.7868918,0.06286176,0.0122259,0.005925055,0.1204487,0.01164685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004127963,0.000459195,0.002929455,0.003696903,0.0002774111,0.0007319798,0.0008004834,0.0007087241,0.002506346,0.008121324,0.822289,0.1570664],"study_design_scores_gemma":[0.0004701271,0.0003212115,0.01019681,0.02193794,0.0007645915,0.001356787,0.001075026,0.001593769,0.003300984,0.01543826,0.943265,0.0002795724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.003067692,0.1243225,0.03483524,0.7369813,0.06941565,0.002475467,0.003108148,0.001198931,0.02459514],"genre_scores_gemma":[0.02472229,0.1104615,0.2456769,0.5240397,0.04427031,0.008297222,0.01015977,0.0008613798,0.03151087],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.09870992,"threshold_uncertainty_score":0.5220342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05627500111163627,"score_gpt":0.353739585147715,"score_spread":0.2974645840360788,"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."}}