{"id":"W1986394194","doi":"10.1002/nbm.1237","title":"Modular design of receiver coil arrays","year":2007,"lang":"en","type":"article","venue":"NMR in Biomedicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decoupling (probability); Electromagnetic coil; Modular design; Preamplifier; Cable gland; Computer science; Electrical engineering; Electromagnetic shielding; Printed circuit board; Electronics; Radio frequency; Electronic engineering; Acoustics; Physics; Engineering; Telecommunications; Bandwidth (computing)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.000748136,0.001111941,0.0007510143,0.0006155326,0.0002504949,0.0006946328,0.001479412,0.001042921,0.004480261],"category_scores_gemma":[0.0009798995,0.0007811912,0.0005179523,0.0004133382,0.0003388048,0.0008580895,0.0007463618,0.0007316999,0.005803528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002966732,"about_ca_system_score_gemma":0.0003203957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008617312,"about_ca_topic_score_gemma":0.0001076478,"domain_scores_codex":[0.9993314,0.000135332,0.00004323072,0.0001803752,0.0002062796,0.0001033378],"domain_scores_gemma":[0.9994181,0.0001049868,0.0001080465,0.00009610226,0.0002079621,0.00006466435],"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":[0.0004743967,0.00008324735,0.0009916385,0.0006781798,0.0001042428,0.0003874947,0.0001784332,0.01343258,0.883359,0.008423071,0.00370693,0.08818083],"study_design_scores_gemma":[0.0001464714,0.001763218,0.001974115,0.00008169214,0.0002390544,0.002113349,0.0000412332,0.06360561,0.8483363,0.003370672,0.07819143,0.0001368545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03594847,0.0007219864,0.9528582,0.0002312979,0.0002425165,0.0002740364,0.0002791933,0.003384742,0.006059522],"genre_scores_gemma":[0.2701631,0.0008058162,0.7179776,0.0003687932,0.0003501972,0.0005697678,0.0006745228,0.0005543055,0.008535823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004480261,"threshold_uncertainty_score":0.01498801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03415031269182965,"score_gpt":0.3467843788100696,"score_spread":0.3126340661182399,"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."}}