{"id":"W2895178760","doi":"10.1002/jmri.26313","title":"Prospective Evaluation of an R2* Method for Assessing Liver Iron Concentration (LIC) Against FerriScan: Derivation of the Calibration Curve and Characterization of the Nature and Source of Uncertainty in the Relationship","year":2018,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Homoscedasticity; Calibration; Calibration curve; Statistics; Mathematics; Stability (learning theory); Nuclear medicine; Computer science; Heteroscedasticity; 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":[0.01589079,0.0005921233,0.0004058758,0.0008303928,0.0003397519,0.0005905438,0.0008936551,0.0007463312,0.0009766336],"category_scores_gemma":[0.0233059,0.0003453107,0.000336949,0.0007906039,0.0006031492,0.000540935,0.0006282973,0.0006346324,0.000662133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004282793,"about_ca_system_score_gemma":0.0005457324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000817969,"about_ca_topic_score_gemma":0.0007972012,"domain_scores_codex":[0.9940389,0.003644567,0.000242426,0.0009160165,0.00106357,0.00009447546],"domain_scores_gemma":[0.9808555,0.009474256,0.004420606,0.002316211,0.002541531,0.0003917585],"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":[0.006283822,0.0005979171,0.8913827,0.0002994197,0.0005109193,0.0001714649,0.0006362576,0.009689477,0.02575714,0.0007885573,0.0006347834,0.06324744],"study_design_scores_gemma":[0.0003548838,0.01046057,0.8601894,0.00005682598,0.0002644641,0.002256704,0.0002720132,0.07732352,0.04575107,0.0005622892,0.002396418,0.000111784],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9061455,0.0008601265,0.09045906,0.00007403286,0.00001885879,0.0002970289,0.0005205157,0.0003090876,0.001315813],"genre_scores_gemma":[0.9751155,0.00007473788,0.02405375,0.00003849371,0.000008065212,0.000149461,0.0002970097,0.00004952174,0.0002134791],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01589079,"threshold_uncertainty_score":0.08403957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720009837941497,"score_gpt":0.3077257020030308,"score_spread":0.2905256036236159,"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."}}