{"id":"W2033521410","doi":"10.1118/1.3681949","title":"Least-error projection sorting to optimize retrospectively gated cardiac micro-CT of free-breathing mice","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"Imaging phantom; Scanner; Image quality; Iterative reconstruction; Image resolution; Rotation (mathematics); Projection (relational algebra); Optical transfer function; Tomography; Detector; Computer science; Artificial intelligence; Optics; Computer vision; Physics; Algorithm; Image (mathematics)","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":[0.0009786787,0.0006843706,0.0003498014,0.0003616931,0.0001675332,0.0004737863,0.0006049581,0.0004506052,0.000854285],"category_scores_gemma":[0.001977857,0.0004183767,0.0002010049,0.0003103713,0.0002619982,0.0003971567,0.0003520729,0.0005054985,0.0004325834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003107847,"about_ca_system_score_gemma":0.0005203052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004639321,"about_ca_topic_score_gemma":0.0008985855,"domain_scores_codex":[0.9996901,0.0000666559,0.0000186979,0.00004848654,0.00015249,0.00002363365],"domain_scores_gemma":[0.9992698,0.0002012984,0.0001920793,0.0001023616,0.0001881486,0.00004639764],"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":[0.000192817,0.00004002378,0.0007969585,0.00005827309,0.00001186188,0.00005333377,0.00004281833,0.003762921,0.9727298,0.0002235153,0.0001638881,0.02192377],"study_design_scores_gemma":[0.00002544614,0.000273348,0.002683122,0.00000850959,0.00001652723,0.0002867751,0.00001623279,0.04470402,0.9506032,0.0001107757,0.001254345,0.00001766079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3933196,0.0006198768,0.603195,0.0001874611,0.00003607093,0.0002822894,0.0001908536,0.001366127,0.0008027365],"genre_scores_gemma":[0.2825949,0.0004389703,0.7146199,0.0001085804,0.00001863006,0.000192562,0.0002727018,0.0003958624,0.0013579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009786787,"threshold_uncertainty_score":0.005175829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102207558950136,"score_gpt":0.3274813297344751,"score_spread":0.2964592541449738,"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."}}