{"id":"W2056549048","doi":"10.1118/1.3468234","title":"SU‐GG‐J‐11: Contrast to Noise Ratio Measurements for Real Time MR Lung Tumour Imaging Sequences at Lower Fields — A Phantom Study","year":2010,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Imaging phantom; Noise (video); Signal-to-noise ratio (imaging); Magnetic resonance imaging; Electromagnetic coil; Nuclear medicine; Contrast (vision); Nuclear magnetic resonance; Scanner; Physics; Magnet; Contrast-to-noise ratio; Materials science; Biomedical engineering; Optics; Medicine; Computer science; Radiology; Image quality; Artificial intelligence","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":[0.001063752,0.0004296495,0.0002633508,0.0003768593,0.000116798,0.0004468509,0.0005651774,0.0007739692,0.0009352696],"category_scores_gemma":[0.001718604,0.0002658237,0.0001768343,0.0003978532,0.0003762112,0.0003773682,0.0002336196,0.0003289193,0.000261149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002939375,"about_ca_system_score_gemma":0.000256075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008415779,"about_ca_topic_score_gemma":0.0005673909,"domain_scores_codex":[0.9995236,0.0002209362,0.00003084431,0.00007729259,0.0001021191,0.000045211],"domain_scores_gemma":[0.9987864,0.0006417247,0.0002276365,0.0001142742,0.000153671,0.00007622883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000327357,0.00007604454,0.0006110537,0.00010594,0.00001243164,0.0001182856,0.00005033523,0.00184121,0.993457,0.0001062419,0.000100266,0.003193908],"study_design_scores_gemma":[0.00003044966,0.001396675,0.006302781,0.00002469834,0.00005827963,0.001033582,0.00004031118,0.01874646,0.9698024,0.00007078498,0.002455833,0.00003770999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393492,0.00237479,0.05519991,0.0002254701,0.00004367407,0.00008161197,0.0002581965,0.0005279846,0.001939182],"genre_scores_gemma":[0.9483017,0.0009422692,0.04774447,0.0001046204,0.00001312749,0.0001264737,0.0005843712,0.0001352432,0.002047752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001063752,"threshold_uncertainty_score":0.005625725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463475228978189,"score_gpt":0.3503359880420099,"score_spread":0.325701235752228,"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."}}