{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007134661,0.0006608776,0.0004170539,0.0007392171,0.000216788,0.0003751665,0.001101091,0.000605286,0.002393429],"category_scores_gemma":[0.0008801939,0.0004927375,0.0004125534,0.000322261,0.0004946961,0.0009456483,0.0004959208,0.0006533748,0.001465788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000361409,"about_ca_system_score_gemma":0.0005617847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003222847,"about_ca_topic_score_gemma":0.0006797836,"domain_scores_codex":[0.9995806,0.00006551659,0.00003537659,0.00006166004,0.0002266088,0.00003022451],"domain_scores_gemma":[0.9994873,0.00006366365,0.00009342874,0.00008937276,0.0002249442,0.00004123702],"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":[0.000476496,0.0001170154,0.00257084,0.001343918,0.00007204188,0.0005715466,0.0003712933,0.01173614,0.6821336,0.01847217,0.01175466,0.2703802],"study_design_scores_gemma":[0.0003019313,0.002168727,0.008592717,0.0002340878,0.0003143499,0.009101226,0.00009198905,0.08469063,0.6415402,0.00709278,0.2456243,0.0002470301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02027629,0.0008020339,0.9711802,0.0003590473,0.000223513,0.0001594738,0.0001077736,0.001299647,0.005592007],"genre_scores_gemma":[0.1384474,0.0007049402,0.8536268,0.0002707733,0.0001853348,0.0002841691,0.0002499391,0.0003518352,0.005878843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002393429,"threshold_uncertainty_score":0.008006811,"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."}}