{"id":"W3030581304","doi":"10.3760/cma.j.issn.1674-1927.2012.06.010","title":"Application of high performance liquid chromatography in screening abnormal hemoglobinopathy","year":2012,"lang":"en","type":"article","venue":"Chin J Biomed Eng","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hemoglobinopathy; High-performance liquid chromatography; Thalassemia; Genotype; Incidence (geometry); Medicine; Hemolytic anemia; Internal medicine; Biology; Chromatography; Chemistry; Genetics; Gene; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001159139,0.0003585262,0.0002016811,0.001837171,0.0001773218,0.00043632,0.0003034978,0.0004533332,0.0007441977],"category_scores_gemma":[0.002069781,0.000108498,0.0001330942,0.0008991259,0.0003454308,0.0002852613,0.0001871114,0.0004253281,0.0004160613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003123331,"about_ca_system_score_gemma":0.0004122934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002352282,"about_ca_topic_score_gemma":0.001748693,"domain_scores_codex":[0.9988973,0.0004318815,0.00006331527,0.0001505721,0.0003744302,0.00008248288],"domain_scores_gemma":[0.9987458,0.0004998777,0.0002638453,0.00004805947,0.0003264415,0.0001159883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003611724,0.000266554,0.8529351,0.0001527156,0.00006721004,0.0004904706,0.00008353432,0.0004465557,0.02507167,0.0001169954,0.001278277,0.1187297],"study_design_scores_gemma":[0.00006653425,0.002202856,0.9119673,0.0001052023,0.0001687386,0.01123015,0.0004346194,0.01012613,0.0547291,0.0003457048,0.008583887,0.00003979191],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596508,0.01249503,0.01740783,0.001066164,0.0001336164,0.000205642,0.0008763685,0.0004567522,0.007707767],"genre_scores_gemma":[0.9878948,0.002198272,0.008500825,0.0002695362,0.00006217136,0.0000482249,0.000235056,0.000008499368,0.0007825958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002352282,"threshold_uncertainty_score":0.006130219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006855155765587212,"score_gpt":0.2262173551831986,"score_spread":0.2193621994176114,"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."}}