{"id":"W2473056131","doi":"10.1118/1.4957837","title":"WE‐DE‐BRA‐08: A Linear Accelerator Target Allowing Rapid Switching Between Treatment and High‐Contrast Imaging Modes","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Linear particle accelerator; Fiducial marker; Medical imaging; Imaging phantom; Image-guided radiation therapy; Radiation therapy; Dosimetry; Computer science; Nuclear medicine; Physics; Optics; Medicine; Artificial intelligence; Radiology; Beam (structure)","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":[0.0002608451,0.0003514689,0.0002202279,0.0002633714,0.0002174289,0.0004598057,0.0008675473,0.0007271199,0.006701577],"category_scores_gemma":[0.0003285144,0.0002848119,0.0002675376,0.0002031265,0.0002185813,0.0004451755,0.0004358713,0.0005105328,0.002131015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004877611,"about_ca_system_score_gemma":0.0006097043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009775441,"about_ca_topic_score_gemma":0.0009731427,"domain_scores_codex":[0.9998043,0.00001460228,0.000006897096,0.00004407934,0.0001026032,0.00002752754],"domain_scores_gemma":[0.9997858,0.00002982826,0.00004844963,0.00003897202,0.00005121758,0.00004559476],"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":[0.0006367341,0.00009098363,0.001304212,0.0002248832,0.00002254373,0.0001466394,0.00008293047,0.002049759,0.9452632,0.001889604,0.005921302,0.0423671],"study_design_scores_gemma":[0.0002241592,0.001566961,0.01185199,0.00003350558,0.00005800608,0.002306647,0.00002840581,0.02230331,0.8934466,0.0003513819,0.06773667,0.00009230231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5173751,0.002533254,0.4026973,0.0008505977,0.00050605,0.0006612213,0.002624055,0.01762585,0.05512666],"genre_scores_gemma":[0.8321248,0.0002770449,0.1367827,0.0002411509,0.00003265939,0.0002446142,0.00149893,0.000605471,0.0281927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006701577,"threshold_uncertainty_score":0.02241904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857741485594925,"score_gpt":0.2840172318098604,"score_spread":0.2654398169539111,"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."}}