{"id":"W4403244472","doi":"10.3174/ajnr.a8529","title":"Comparison of Diffusion-Weighted MRI Using Single-Shot Echo-Planar Imaging and Split Acquisition of Fast Spin-Echo Signal Imaging, a Non-EPI Technique, in Tumors of the Head and Neck","year":2024,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Medicine; Echo-planar imaging; Single shot; Fast spin echo; Echo (communications protocol); Head and neck; Head and neck squamous-cell carcinoma; Spin echo; Nuclear magnetic resonance; Image quality; Nuclear medicine; SIGNAL (programming language); Diffusion MRI; Magnetic resonance imaging; Radiology; Optics; Head and neck cancer; Physics; Image (mathematics); Computer vision","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":[0.002571177,0.0002321632,0.0002230537,0.000652153,0.0001402472,0.0004204123,0.0002458151,0.0004666421,0.0003900095],"category_scores_gemma":[0.004526113,0.0002404945,0.0003479075,0.0002403597,0.0003609417,0.0007252977,0.0003327403,0.0002198725,0.0001073798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00028576,"about_ca_system_score_gemma":0.0003637459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001523097,"about_ca_topic_score_gemma":0.002458184,"domain_scores_codex":[0.9995154,0.0002060339,0.0000595504,0.00007383238,0.0001034529,0.00004177565],"domain_scores_gemma":[0.9981452,0.0008320442,0.0002346479,0.0001572487,0.0004900455,0.0001408457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.03840314,0.0009994141,0.278287,0.001476917,0.001139864,0.001020759,0.001961276,0.003261446,0.5026181,0.0004088343,0.0003473396,0.1700759],"study_design_scores_gemma":[0.0002706222,0.01728257,0.8596172,0.00004852822,0.0009116635,0.003728869,0.001019404,0.01921947,0.09652957,0.0003221727,0.0009587347,0.00009117508],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972569,0.0004731867,0.002047801,0.000009197288,0.00000580011,0.00002916296,0.00003356322,0.00001095655,0.0001333915],"genre_scores_gemma":[0.9970245,0.0001667137,0.002638244,0.000007745673,0.000006165591,0.00001981692,0.00006612908,0.000007907322,0.00006274514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002571177,"threshold_uncertainty_score":0.01359785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076231997025369,"score_gpt":0.3335849772009353,"score_spread":0.3128226572306816,"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."}}