{"id":"W4403210040","doi":"10.1109/jerm.2024.3465354","title":"Size-Adaptive Occipital 18-Channel Receive-Only RF Coil for 3T MRI","year":2024,"lang":"en","type":"article","venue":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Channel (broadcasting); Electromagnetic coil; Nuclear magnetic resonance; Physics; Computer science; Electrical engineering; Telecommunications; Engineering","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":[0.0003078819,0.0003285833,0.0001915929,0.0001817495,0.00006440271,0.0002659314,0.000384223,0.0002760181,0.001551669],"category_scores_gemma":[0.0007386816,0.0001722132,0.0002063534,0.000187772,0.0002186051,0.0002901354,0.0003308172,0.0001872694,0.0006479909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001573918,"about_ca_system_score_gemma":0.0002560555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002430228,"about_ca_topic_score_gemma":0.0006603745,"domain_scores_codex":[0.9998682,0.00003046739,0.000006317643,0.00002612384,0.0000480222,0.00002084384],"domain_scores_gemma":[0.9997193,0.0001011475,0.00006932794,0.00004408602,0.00004269525,0.00002337758],"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":[0.0005889381,0.00002990829,0.001616647,0.0001678994,0.00002387245,0.0004984121,0.0001005334,0.003745016,0.9332951,0.001227851,0.002160125,0.05654578],"study_design_scores_gemma":[0.000141829,0.0019763,0.02718291,0.00005132299,0.0002516256,0.0138282,0.0001146384,0.04219781,0.8614647,0.001805382,0.05086654,0.000118826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2209092,0.0006525049,0.7661216,0.0005847494,0.0001146247,0.0001454454,0.0003220337,0.001836778,0.009313179],"genre_scores_gemma":[0.6336538,0.0006720577,0.3595255,0.0005743617,0.0001215891,0.0001325087,0.0002606201,0.0002943392,0.004765124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001551669,"threshold_uncertainty_score":0.00519079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03615113010261551,"score_gpt":0.358604721020034,"score_spread":0.3224535909174185,"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."}}