{"id":"W2162663437","doi":"10.1259/bjr.20150269","title":"An online open-source tool for automated quantification of liver and myocardial iron concentrations by T2* magnetic resonance imaging","year":2015,"lang":"en","type":"article","venue":"British Journal of Radiology","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Medicine; Confidence interval; Magnetic resonance imaging; Nuclear medicine; Correlation coefficient; Internal medicine; Radiology; Statistics; Mathematics","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":[0.00320147,0.001444846,0.0007854485,0.001936662,0.0002562958,0.001001299,0.001466306,0.0008600136,0.01473412],"category_scores_gemma":[0.01554685,0.0005115833,0.0007010421,0.0007104794,0.0003079033,0.0009744161,0.001741753,0.0005215023,0.008760323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003064166,"about_ca_system_score_gemma":0.0006796258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005947227,"about_ca_topic_score_gemma":0.0007221276,"domain_scores_codex":[0.9981583,0.0004172599,0.0001894955,0.0004825033,0.0006565753,0.00009576625],"domain_scores_gemma":[0.9905065,0.004764759,0.001468661,0.0009467517,0.001869589,0.0004437366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007909112,0.00121196,0.04211001,0.001352632,0.0005576881,0.001688806,0.0006615625,0.003198509,0.07421062,0.0009400949,0.08645519,0.7797037],"study_design_scores_gemma":[0.004965735,0.003903404,0.3521743,0.001519727,0.001049364,0.01606683,0.0003871765,0.1928171,0.2222735,0.006222976,0.1974628,0.001157353],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.159728,0.001453379,0.5307133,0.0004746802,0.0004648946,0.001475009,0.01856118,0.2789901,0.008139458],"genre_scores_gemma":[0.3865078,0.0005610944,0.5394625,0.0007774206,0.0004114481,0.00307077,0.02748997,0.02914977,0.0125693],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01473412,"threshold_uncertainty_score":0.04929054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01758407772335979,"score_gpt":0.2761194967778888,"score_spread":0.258535419054529,"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."}}