{"id":"W1832788082","doi":"10.1002/jmri.24254","title":"New head gradient coil design and construction techniques","year":2013,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute on Deafness and Other Communication Disorders","keywords":"Electromagnetic coil; Head (geology); Computer science; Acoustics; Mechanical engineering; Materials science; Nuclear magnetic resonance; Physics; Engineering; Geology; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000149436,0.0000937715,0.000196006,0.00009900911,0.00004900605,0.00003099969,0.00005977768,0.00002668491,0.00009190207],"category_scores_gemma":[0.0000402105,0.00007533275,0.00004463008,0.0001101605,0.00009599273,0.0001809039,0.00001922574,0.0001874385,0.000003233631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004385441,"about_ca_system_score_gemma":0.00007243994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003283929,"about_ca_topic_score_gemma":2.924077e-7,"domain_scores_codex":[0.9992511,0.00001778316,0.0003244554,0.0001087333,0.0001554319,0.0001425338],"domain_scores_gemma":[0.9993116,0.00004330755,0.0001812419,0.0001281655,0.0001888954,0.0001468166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002502916,0.0000188561,0.002196976,0.000007579421,0.000001058964,0.00001356676,0.00003609221,0.000001547601,0.01272099,0.0004672444,0.007879282,0.9766318],"study_design_scores_gemma":[0.003423852,0.002310106,0.1206688,0.001902028,0.0002145921,0.02008558,0.0005467793,0.005236609,0.0813295,0.08064061,0.683064,0.0005774861],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02141174,0.01946915,0.948,0.009248715,0.00006033101,0.0006080515,5.979018e-7,0.00007200518,0.001129384],"genre_scores_gemma":[0.03355888,0.002305799,0.9631731,0.0003647237,0.0001647643,0.00001840587,2.875494e-7,0.00001456937,0.0003994547],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9760543,"threshold_uncertainty_score":0.307198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380631130277014,"score_gpt":0.288895623092296,"score_spread":0.2750893117895259,"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."}}