{"id":"W2008127216","doi":"10.1118/1.2372216","title":"Low magnetic moment PIN diodes for high field MRI surface coils","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"National Institute of Standards and Technology","keywords":"Diode; Diamagnetism; Magnetic moment; PIN diode; Magnetic field; Materials science; Paramagnetism; Magnetic resonance imaging; Nuclear magnetic resonance; Condensed matter physics; Physics; Optoelectronics; Medicine","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":[0.0002958231,0.0004185686,0.0002516209,0.000173038,0.0001468662,0.0003725104,0.0004437854,0.0003662865,0.002060143],"category_scores_gemma":[0.0006193866,0.0002079894,0.0001440968,0.0001509049,0.0003139599,0.0004812009,0.0002326376,0.000440038,0.001029144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002103018,"about_ca_system_score_gemma":0.0001957983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004779943,"about_ca_topic_score_gemma":0.0001556616,"domain_scores_codex":[0.9998355,0.00004621629,0.000007522473,0.00003465938,0.00005639698,0.0000196722],"domain_scores_gemma":[0.9996651,0.000125539,0.00006576314,0.00004068621,0.0000782514,0.00002462189],"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":[0.0001158809,0.00001636192,0.0003982298,0.0002546211,0.000007896536,0.0001166649,0.00005905296,0.0005757909,0.9771202,0.007254217,0.0008030502,0.01327801],"study_design_scores_gemma":[0.00003654425,0.0005580408,0.001118624,0.00003286601,0.00002885578,0.001205045,0.00004067986,0.005821725,0.9597272,0.001803104,0.02960102,0.00002637216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5218932,0.006552024,0.4456848,0.0007925855,0.0006261815,0.0002647887,0.000210025,0.001356657,0.02261969],"genre_scores_gemma":[0.8602023,0.001187427,0.1313505,0.0002080748,0.00008356342,0.0001179605,0.0001311477,0.000130599,0.006588345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002060143,"threshold_uncertainty_score":0.006891847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004805722033288,"score_gpt":0.2939828576361,"score_spread":0.2839348004157672,"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."}}