{"id":"W1983051351","doi":"10.1118/1.2839146","title":"Correction of megavoltage cone‐beam CT images for dose calculation in the head and neck region","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôtel-Dieu de Québec; Centre hospitalier universitaire de Québec","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nuclear medicine; Medical imaging; Cone beam ct; Head and neck; Cone beam computed tomography; Image registration; Computed tomography; Medicine; Computer science; Image (mathematics); Radiology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001245628,0.0006953772,0.0004987343,0.001011578,0.0002544757,0.001009383,0.001102876,0.0005414341,0.001352346],"category_scores_gemma":[0.006652516,0.0005788085,0.0005150199,0.0007339959,0.0002384332,0.0004619093,0.0005440383,0.000614065,0.0007068049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005984765,"about_ca_system_score_gemma":0.0009686817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002522499,"about_ca_topic_score_gemma":0.003726753,"domain_scores_codex":[0.9986861,0.000295944,0.00009412076,0.0001168408,0.0007652807,0.0000416038],"domain_scores_gemma":[0.9978405,0.0008643206,0.0003135013,0.0003660448,0.000567276,0.00004822324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007355579,0.00006068646,0.015583,0.0008871068,0.0002161948,0.0005499749,0.0004683119,0.04368567,0.4235784,0.004390193,0.005358872,0.504486],"study_design_scores_gemma":[0.0001058176,0.000328613,0.0389519,0.0002227169,0.000319516,0.004115518,0.0001330994,0.265359,0.6513352,0.00175596,0.037179,0.0001937401],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09453436,0.002950403,0.8956034,0.0003020665,0.0003165879,0.0001558372,0.0002049172,0.00288378,0.003048818],"genre_scores_gemma":[0.3940658,0.001862789,0.5995828,0.0001860119,0.00004465274,0.0001120923,0.0003681112,0.001151895,0.002625913],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002522499,"threshold_uncertainty_score":0.006587625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685036446372623,"score_gpt":0.2973557640528113,"score_spread":0.280505399589085,"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."}}