{"id":"W2127109446","doi":"10.1002/jmri.22023","title":"Evaluation of multicoil breast arrays for parallel imaging","year":2010,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Terry Fox Foundation","keywords":"Electromagnetic coil; Imaging phantom; Acceleration; Coil noise; Acoustics; Noise (video); Radiofrequency coil; Physics; Nuclear magnetic resonance; Computer science; Optics; Rogowski coil","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001565985,0.0006082904,0.0003411488,0.0003388626,0.0001265692,0.0003758203,0.000365113,0.0004085244,0.001609856],"category_scores_gemma":[0.003750618,0.0003018458,0.000157984,0.000235436,0.0002856685,0.0006221199,0.0003856025,0.0002010956,0.0004634128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002489846,"about_ca_system_score_gemma":0.0001893991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001360776,"about_ca_topic_score_gemma":0.0002285261,"domain_scores_codex":[0.9993362,0.0002103405,0.00003347803,0.000121589,0.0002481879,0.00005023127],"domain_scores_gemma":[0.9975707,0.001145777,0.0003055079,0.0002294748,0.0006009993,0.0001474674],"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":[0.001625211,0.0001134504,0.005318896,0.0003326088,0.00007390019,0.0002019049,0.0001405861,0.003781567,0.9323705,0.0003042402,0.0004117086,0.05532542],"study_design_scores_gemma":[0.0001876682,0.004663162,0.01554216,0.00003915992,0.0002155101,0.00332923,0.0001194393,0.02266709,0.9437206,0.0002931826,0.009167415,0.00005536736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7962086,0.001942943,0.1981601,0.0001999458,0.0001348155,0.0001741469,0.0001490464,0.0008766145,0.002153801],"genre_scores_gemma":[0.7877637,0.0005308307,0.2096572,0.0001502823,0.00005342066,0.0001333873,0.00024363,0.0001421046,0.001325408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001609856,"threshold_uncertainty_score":0.008281767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076639482544382,"score_gpt":0.3446299512763993,"score_spread":0.3238635564509554,"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."}}