{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001682311,0.0006088901,0.0004827723,0.0001078012,0.0002924429,0.00009254232,0.0005278126,0.001246056,0.002125366],"category_scores_gemma":[0.00005635825,0.0006065319,0.0004880248,0.0001843379,0.0001170292,0.000003939771,0.0004592277,0.001176875,0.000127993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003946207,"about_ca_system_score_gemma":0.000200292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005074403,"about_ca_topic_score_gemma":0.00002136394,"domain_scores_codex":[0.9971993,0.0002107182,0.0004546517,0.00110403,0.0003402461,0.0006910805],"domain_scores_gemma":[0.9985166,0.00002338134,0.0002583335,0.0009963049,0.00008764389,0.0001177584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001215874,0.0002621755,0.001571732,0.0002690154,0.001038348,0.0006352341,0.00009616457,0.000003658597,0.5282855,0.000003713614,0.4656456,0.00206728],"study_design_scores_gemma":[0.00147311,0.0006009503,0.0005254264,0.00002884455,0.0006216575,0.0004985221,0.00003981086,6.263762e-7,0.1404931,0.00001773412,0.8550475,0.0006527551],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9419529,0.01630126,0.0002192433,0.02383563,0.004691591,0.001050774,0.0009994636,0.00008137356,0.01086776],"genre_scores_gemma":[0.5168777,0.003450301,0.001645588,0.3394339,0.04025055,0.000508396,0.025659,0.0006357532,0.07153884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4250752,"threshold_uncertainty_score":0.9996386,"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."}}