{"id":"W1562626948","doi":"10.1002/cyto.b.21245","title":"Combined accurate platelet enumeration and reticulated platelet determination by flow cytometry","year":2015,"lang":"en","type":"article","venue":"Cytometry Part B Clinical Cytometry","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Joseph's Health Care; London Health Sciences Centre","funders":"","keywords":"Enumeration; Flow cytometry; Platelet; Flow (mathematics); Chemistry; Computer science; Molecular biology; Biology; Mathematics; Immunology; Physics; Mechanics; Combinatorics","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":[0.003066358,0.000830475,0.0007301539,0.002096718,0.0002457745,0.0009361976,0.0008623564,0.0007301947,0.001318845],"category_scores_gemma":[0.002705888,0.0003457257,0.0003792229,0.0008355826,0.0005353999,0.0006680214,0.000695476,0.0008450261,0.001165428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003221283,"about_ca_system_score_gemma":0.0004177493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002808542,"about_ca_topic_score_gemma":0.0004251364,"domain_scores_codex":[0.9952772,0.001470446,0.0004216537,0.000740884,0.001852969,0.0002368584],"domain_scores_gemma":[0.9984675,0.0004866693,0.0002673679,0.0002310932,0.0004869174,0.00006048997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000347458,0.000156485,0.01949334,0.0006363676,0.0001039462,0.0004195176,0.0002084389,0.0009973221,0.9012596,0.000785826,0.001079031,0.07451277],"study_design_scores_gemma":[0.00006591889,0.001870351,0.04049016,0.0002050992,0.0003091465,0.00455672,0.0001161664,0.01676987,0.9208772,0.00141586,0.01323571,0.00008791126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.463435,0.01381078,0.5086004,0.0007233156,0.0003033542,0.001405809,0.001105793,0.001827861,0.008787666],"genre_scores_gemma":[0.6261426,0.004502318,0.3624962,0.0005581683,0.0003218702,0.001316377,0.001808167,0.0002223099,0.002632042],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003066358,"threshold_uncertainty_score":0.01621664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1092094979514416,"score_gpt":0.4187494504224136,"score_spread":0.3095399524709721,"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."}}