{"id":"W4307442383","doi":"10.1101/2022.10.17.512566","title":"A radiofrequency coil for infants and toddlers","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canada First Research Excellence Fund; Molly Towell Perinatal Research Foundation; Fondation Brain Canada","keywords":"Electromagnetic coil; Head (geology); Computer science; Radiofrequency coil; Population; Artificial intelligence; Medicine; Engineering; Electrical 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":[0.0003873109,0.000342178,0.0003281776,0.0002396297,0.0001761655,0.0003017485,0.0002364995,0.0004416734,0.001385519],"category_scores_gemma":[0.001107342,0.0001704538,0.0002471973,0.000108217,0.0002202207,0.0001697948,0.0003254082,0.0002287495,0.000822747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002028494,"about_ca_system_score_gemma":0.0003404269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008194892,"about_ca_topic_score_gemma":0.001247867,"domain_scores_codex":[0.99983,0.00005959186,0.00002392051,0.00003414568,0.0000306436,0.00002164578],"domain_scores_gemma":[0.9996124,0.0001147028,0.00008834132,0.00004602232,0.00007945402,0.00005918034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002619954,0.00009554665,0.05544018,0.001487958,0.0001669443,0.02598798,0.0007216606,0.001807664,0.4212373,0.003234869,0.02172508,0.4654748],"study_design_scores_gemma":[0.0002792939,0.004101921,0.1502666,0.0006441213,0.000490946,0.1776238,0.000704771,0.009397388,0.4654163,0.002091014,0.1887869,0.0001967991],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7341177,0.01617076,0.2233522,0.002135529,0.001152551,0.000378786,0.0009574297,0.002104305,0.01963072],"genre_scores_gemma":[0.9076493,0.003540592,0.07939271,0.001354279,0.0001795383,0.0002052148,0.0005068445,0.0001824519,0.006988931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001385519,"threshold_uncertainty_score":0.004634976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02097058751114502,"score_gpt":0.2785038102525366,"score_spread":0.2575332227413916,"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."}}