{"id":"W1990818742","doi":"10.1118/1.2799492","title":"Image quality and localization accuracy in C‐arm tomosynthesis‐guided head and neck surgery","year":2007,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research; Princess Margaret Cancer Centre","funders":"National Cancer Institute","keywords":"Tomosynthesis; Sagittal plane; Image quality; Coronal plane; Imaging phantom; Computer vision; Cone beam computed tomography; Medical imaging; Artificial intelligence; Computer science; Nuclear medicine; Medicine; Radiology; Mammography; Computed tomography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006614995,0.000132994,0.0002695266,0.00003400181,0.00005281053,0.00002102768,0.00006702747,0.00005848053,0.000103358],"category_scores_gemma":[0.000148383,0.0001232569,0.00003808482,0.0001657015,0.0001627971,0.0002035636,0.00004002908,0.0001733906,0.000001075022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002631812,"about_ca_system_score_gemma":0.00004466106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002144334,"about_ca_topic_score_gemma":0.0000108478,"domain_scores_codex":[0.9989043,0.00005340523,0.0003356383,0.0002253638,0.0002460897,0.0002351849],"domain_scores_gemma":[0.9988214,0.0007526362,0.000097415,0.0001539415,0.00003212986,0.0001424961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003419995,0.0003098178,0.423601,0.00005459196,0.00002226725,0.000009470522,0.0002623663,0.000001585668,0.000683419,0.006798257,0.000622927,0.5676001],"study_design_scores_gemma":[0.003778083,0.0001590339,0.5818328,0.0009493882,0.00005085326,0.00001131525,0.000263843,0.006484162,0.1379845,0.2489574,0.01755282,0.001975778],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4010697,0.00009050787,0.5976528,0.0002541484,0.00003362346,0.0001153278,0.000004498863,0.00005003363,0.0007293849],"genre_scores_gemma":[0.9958996,0.00007086711,0.003275636,0.0003933732,0.0003031337,0.000009205239,0.00001712773,0.00002031939,0.00001069917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.59483,"threshold_uncertainty_score":0.5026273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02952059104808351,"score_gpt":0.3569677452083546,"score_spread":0.3274471541602711,"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."}}