{"id":"W4404956342","doi":"10.14740/jh1337","title":"Optimizing Falling Drop Hemoglobin Method by Comparing Capillary Versus Venous Blood and Determining the Stability of the Copper Sulfate Solution","year":2024,"lang":"en","type":"article","venue":"Journal of Hematology","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hemoglobin; Copper sulfate; Drop (telecommunication); Medicine; Copper; Capillary action; Venous blood; Falling (accident); Sulfate; Internal medicine; Materials science; Metallurgy; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002581589,0.0006471716,0.0004098547,0.001160567,0.0004955719,0.0009086109,0.0005895748,0.0006025803,0.001358227],"category_scores_gemma":[0.003460791,0.0002996389,0.0004428301,0.0008777615,0.0005754429,0.0003621645,0.0003411931,0.0006869422,0.000664599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000458635,"about_ca_system_score_gemma":0.0007146022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002182354,"about_ca_topic_score_gemma":0.004350141,"domain_scores_codex":[0.9973934,0.0006119862,0.0001958299,0.0004574903,0.001219005,0.0001224005],"domain_scores_gemma":[0.9973096,0.0007248432,0.0004693366,0.0001413448,0.001279519,0.00007543364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002715168,0.0001886782,0.01143898,0.0003010581,0.00005549292,0.0001434769,0.000426803,0.0004136908,0.9570413,0.0004008046,0.0008670306,0.02845116],"study_design_scores_gemma":[0.00001800661,0.00147616,0.0154199,0.00007901983,0.0001200893,0.0004499699,0.000346201,0.004606361,0.9715585,0.0002547526,0.005617307,0.00005381053],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7844425,0.006414423,0.1953761,0.0009639311,0.0006699234,0.00121951,0.001159469,0.001157309,0.008596784],"genre_scores_gemma":[0.6850483,0.005079696,0.2985301,0.0006379146,0.000152172,0.001194132,0.001160335,0.0002623208,0.007935156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002581589,"threshold_uncertainty_score":0.01365292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02907537477972169,"score_gpt":0.3004767020518084,"score_spread":0.2714013272720867,"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."}}