{"id":"W4210768673","doi":"10.1182/blood.2021014618","title":"A Micro-lyse goes a long way","year":2022,"lang":"sv","type":"letter","venue":"Blood","topic":"Hemoglobin structure and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Biology; Medicine","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":[0.003299233,0.0009281297,0.001372905,0.0005375076,0.0041638,0.004632523,0.001283765,0.0400972,0.005540971],"category_scores_gemma":[0.01472897,0.0004768755,0.0009695612,0.0004236377,0.006703622,0.005212796,0.002325302,0.04539257,0.004366634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003038427,"about_ca_system_score_gemma":0.001995174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001190836,"about_ca_topic_score_gemma":0.001930834,"domain_scores_codex":[0.9967259,0.0009291697,0.0002724303,0.0004285249,0.001314719,0.0003291274],"domain_scores_gemma":[0.9923818,0.004357571,0.0005593926,0.0004779914,0.0008274678,0.001395668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"case_report","study_design_scores_codex":[0.0001196533,0.00006188306,0.0003607064,0.00008230684,0.00003963535,0.001387597,0.0001152271,0.00005712549,0.0006706848,0.01645326,0.9579319,0.02271993],"study_design_scores_gemma":[0.0001996546,0.0002222293,0.0006752439,0.0002025156,0.0000423876,0.002450755,0.0004912206,0.0003639494,0.001094249,0.06796777,0.9261979,0.0000920813],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0005643283,0.00513663,0.0005218002,0.9378089,0.05331044,0.000008604869,0.00001754304,0.00005068965,0.002581041],"genre_scores_gemma":[0.008383616,0.002647222,0.0006939069,0.9182641,0.05890851,0.00003840472,0.0000206911,0.00003767082,0.01100586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0400972,"threshold_uncertainty_score":0.02204537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005864149340609524,"score_gpt":0.2089678840006158,"score_spread":0.2031037346600063,"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."}}