{"id":"W2114935337","doi":"10.1002/mrm.22840","title":"Combination of complex‐based and magnitude‐based multiecho water‐fat separation for accurate quantification of fat‐fraction","year":2011,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Fraction (chemistry); Magnitude (astronomy); Phase (matter); Separation (statistics); Chemistry; Biological system; Analytical Chemistry (journal); Computer science; Chromatography; Physics; Machine learning","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":[0.002296648,0.0009561632,0.000684983,0.001289948,0.000256162,0.0009618757,0.0005704793,0.0008932145,0.001364001],"category_scores_gemma":[0.003796531,0.0006012729,0.000445093,0.000743105,0.0005348463,0.001316345,0.0006522052,0.000823507,0.0006005421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002010442,"about_ca_system_score_gemma":0.0003746961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003782953,"about_ca_topic_score_gemma":0.00104174,"domain_scores_codex":[0.9991212,0.0002946519,0.00004949915,0.0001018718,0.0003962297,0.00003640421],"domain_scores_gemma":[0.9979771,0.001079282,0.0002328192,0.0002890238,0.000361374,0.00006043472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000583575,0.0002492539,0.005282005,0.0004357022,0.0002113624,0.0002078757,0.0001358045,0.01670401,0.7512321,0.00245637,0.0006756943,0.2218262],"study_design_scores_gemma":[0.00007873627,0.0004768963,0.008365979,0.00004276242,0.0002077693,0.001877743,0.00005208459,0.2547622,0.7278368,0.001670544,0.004473331,0.0001552213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08380748,0.001013919,0.9133114,0.0001636488,0.00005787476,0.00005740647,0.00003944496,0.0007318582,0.0008170548],"genre_scores_gemma":[0.2103775,0.0005213363,0.7879475,0.00007707229,0.0000268519,0.00004885072,0.00006489036,0.0001736659,0.0007623462],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002296648,"threshold_uncertainty_score":0.01214594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1121375984594567,"score_gpt":0.3921171340803683,"score_spread":0.2799795356209117,"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."}}