{"id":"W2019224463","doi":"10.1002/mrm.21187","title":"Correction for geometric distortion and N/2 ghosting in EPI by phase labeling for additional coordinate encoding (PLACE)","year":2007,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ghosting; Encoding (memory); Distortion (music); Computer science; Phase (matter); Artificial intelligence; Computer vision; Physics; Telecommunications","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":[0.0008460068,0.0009355454,0.0005150432,0.0005462697,0.0004405135,0.0006504898,0.0008589014,0.0008283794,0.001467932],"category_scores_gemma":[0.00341736,0.0005435865,0.0004604637,0.0006806328,0.0008772405,0.001485778,0.001252296,0.001255796,0.0007436937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002020741,"about_ca_system_score_gemma":0.0005903741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003148297,"about_ca_topic_score_gemma":0.001054784,"domain_scores_codex":[0.9995341,0.0001410354,0.00002775245,0.0000876413,0.0001764209,0.00003297157],"domain_scores_gemma":[0.9990128,0.0003378079,0.0002084006,0.0003189915,0.00009092392,0.00003110942],"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":[0.0007117994,0.0001096574,0.001640259,0.000442299,0.00009077095,0.000781865,0.0004113737,0.0116674,0.5940043,0.0187197,0.002496686,0.3689238],"study_design_scores_gemma":[0.0001177692,0.0008945849,0.00555408,0.00003524878,0.0001361867,0.007072303,0.00008998124,0.08594107,0.8698058,0.01244714,0.01775786,0.0001479609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02888287,0.000161039,0.9691997,0.0001175441,0.00005463265,0.00005054545,0.00002593755,0.0009506342,0.0005571762],"genre_scores_gemma":[0.06982169,0.0002492584,0.928046,0.00008587934,0.00003304641,0.00007375447,0.00006008818,0.0002522272,0.001378052],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001467932,"threshold_uncertainty_score":0.004910767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01942087426703802,"score_gpt":0.3156871707508114,"score_spread":0.2962662964837734,"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."}}