{"id":"W1997165671","doi":"10.1016/j.mri.2007.05.004","title":"Single-point imaging with a variable phase encoding interval","year":2007,"lang":"en","type":"article","venue":"Magnetic Resonance Imaging","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; National Research Council Institute for Biodiagnostics","funders":"","keywords":"Attenuation; Phase (matter); Interval (graph theory); Encoding (memory); SIGNAL (programming language); Signal-to-noise ratio (imaging); Point spread function; Amplitude; Point (geometry); Algorithm; Exponential function; Mathematics; Optics; Computer science; Physics; Mathematical analysis; Artificial intelligence; Geometry; Combinatorics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005842613,0.0003965605,0.0003382265,0.0001990877,0.0002236881,0.0002176172,0.0004078717,0.00001858192,0.0004607631],"category_scores_gemma":[0.00003014518,0.0003778472,0.00008675307,0.0004521975,0.0002455992,0.0006860209,0.0001818609,0.000390005,0.00002334081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001241664,"about_ca_system_score_gemma":0.00006046198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002171327,"about_ca_topic_score_gemma":0.000003073036,"domain_scores_codex":[0.9975273,0.0000400305,0.0004984284,0.0006524742,0.0003284251,0.0009533387],"domain_scores_gemma":[0.9987494,0.0001428302,0.0001983528,0.0005869324,0.0001591555,0.0001633468],"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":[0.0001119725,0.0003036515,0.07444318,0.00001796506,0.000007990831,0.0001146999,0.0004470788,0.00001232583,0.04293678,0.005185926,0.0008762943,0.8755422],"study_design_scores_gemma":[0.0127928,0.0008729202,0.007850943,0.002831535,0.0002564897,0.0004094913,0.004390783,0.04097718,0.2240025,0.05946284,0.6420008,0.004151699],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03016849,0.002466789,0.8994972,0.0004777654,0.0001978188,0.0004727336,0.00001902817,0.0005359856,0.06616423],"genre_scores_gemma":[0.8283316,0.000002710526,0.1703007,0.0003041248,0.0003130472,0.00004287105,0.00001295433,0.00008418295,0.0006077694],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8713905,"threshold_uncertainty_score":0.9998673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009124795957605982,"score_gpt":0.2681132397758678,"score_spread":0.2589884438182618,"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."}}