{"id":"W2031132226","doi":"10.1118/1.2240238","title":"SU‐EE‐A4‐06: A Novel Approach for Metal Artifacts Reduction Due to Tooth Filling","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Interpolation (computer graphics); Projection (relational algebra); Thresholding; Artificial intelligence; Computer science; Reduction (mathematics); Computer vision; Scanner; Missing data; Artifact (error); Path (computing); Table (database); Iterative reconstruction; Motion (physics); Algorithm; Mathematics; Image (mathematics); Geometry; Data mining","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":[0.0005521465,0.0005703635,0.0004340643,0.0008196922,0.0001992458,0.0006952371,0.0009116004,0.0006885598,0.002200581],"category_scores_gemma":[0.0006108257,0.0004278108,0.0004794498,0.0004500094,0.0003351763,0.0005051303,0.0006916493,0.0005971782,0.001073613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001420602,"about_ca_system_score_gemma":0.0003118014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001559895,"about_ca_topic_score_gemma":0.0003526867,"domain_scores_codex":[0.9996189,0.00006511073,0.00001907689,0.0000670447,0.0002034506,0.00002643104],"domain_scores_gemma":[0.9996929,0.00006689452,0.00005050701,0.00008384862,0.00008037247,0.00002549271],"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":[0.0004731075,0.0001336546,0.00111221,0.0003427867,0.00008675399,0.0002664592,0.00005529512,0.003054947,0.6413907,0.002197086,0.001945513,0.3489414],"study_design_scores_gemma":[0.0000856854,0.0009859655,0.003627593,0.00003005819,0.0001680207,0.004593667,0.000045365,0.2204233,0.7382116,0.001226205,0.03048951,0.0001131436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0606509,0.001854209,0.9322227,0.0001460788,0.0001391424,0.00008243846,0.0001249964,0.002052334,0.002727238],"genre_scores_gemma":[0.1401543,0.0007733076,0.8531958,0.0001266906,0.00007497388,0.00007544117,0.0002357834,0.0002105883,0.005153177],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002200581,"threshold_uncertainty_score":0.00736165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627634089955714,"score_gpt":0.2352360969807585,"score_spread":0.2189597560812014,"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."}}