{"id":"W4406661054","doi":"10.1016/j.mri.2025.110330","title":"Magnetic field probe-based co-simulation method for irregular volume-type inductively coupled wireless MRI radiofrequency coils","year":2025,"lang":"en","type":"article","venue":"Magnetic Resonance Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Health","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Volume (thermodynamics); Inductively coupled plasma; Nuclear magnetic resonance; Magnetic field; Field (mathematics); Materials science; Physics; Plasma; Mathematics; Nuclear physics","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":[0.0003234161,0.0005304966,0.0003265606,0.0004135792,0.0003115411,0.0004458281,0.0008542719,0.0008323792,0.005122035],"category_scores_gemma":[0.001066535,0.0003029942,0.0005081335,0.0003032919,0.0002997098,0.0005024543,0.0004767301,0.0004254457,0.001073748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000538807,"about_ca_system_score_gemma":0.000896124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002694777,"about_ca_topic_score_gemma":0.002842076,"domain_scores_codex":[0.9998716,0.00003270182,0.000005316558,0.00001927621,0.00005759328,0.00001345598],"domain_scores_gemma":[0.9996215,0.0001626006,0.00004003707,0.00003562044,0.0001174074,0.00002286013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006581347,0.00003275674,0.0006983724,0.00007436621,0.00002516701,0.0001387325,0.0001045765,0.9600476,0.01332337,0.00561074,0.001374628,0.01850383],"study_design_scores_gemma":[0.000004107629,0.00000913944,0.00004146557,0.000002635819,0.000002773895,0.00001688955,0.000005568047,0.9970439,0.001405373,0.0003504335,0.001114714,0.000003118174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01424741,0.00007394599,0.9791697,0.00008491495,0.00003154629,0.0000656949,0.00007808839,0.0012902,0.004958597],"genre_scores_gemma":[0.5152578,0.0002424611,0.474056,0.0001868015,0.00003115034,0.0006577597,0.0003448721,0.0006475874,0.008575581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005122035,"threshold_uncertainty_score":0.0171349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485742048412977,"score_gpt":0.3518654583340888,"score_spread":0.337008037849959,"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."}}