{"id":"W2094005774","doi":"10.1118/1.1869072","title":"Comprehensive Monte Carlo calculation of the point spread function for a commercial ‐Si EPID","year":2005,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Kernel (algebra); Deconvolution; Monte Carlo method; Optics; Detector; Fluence; Point spread function; Image-guided radiation therapy; Pixel; Imaging phantom; Physics; Medical imaging; Mathematics; Algorithm; Artificial intelligence; Computer science; Statistics","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":[0.00006876104,0.0001079748,0.0001878369,0.000009951861,0.00008196725,0.000004932968,0.0001385665,0.00004622124,0.0000615612],"category_scores_gemma":[0.00001015537,0.00007860469,0.0001605478,0.00008454592,0.0001148732,0.00009143379,0.00003345879,0.0001527641,0.000001189319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003419301,"about_ca_system_score_gemma":0.00004055658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008079193,"about_ca_topic_score_gemma":0.000005700674,"domain_scores_codex":[0.9992332,0.00003472142,0.0002054212,0.0001316489,0.0002513636,0.0001435997],"domain_scores_gemma":[0.9994047,0.000112006,0.0001267255,0.000209846,0.00009464263,0.00005213024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001086804,0.0003536442,0.01164372,0.00003450025,0.0001400109,1.139043e-7,0.0005481645,0.001197957,0.00192511,0.01275288,0.007915554,0.9633797],"study_design_scores_gemma":[0.008910262,0.0009306944,0.06366505,0.0005095892,0.0004225043,0.000002834314,0.0002208889,0.1097744,0.263939,0.1061151,0.4440565,0.001453164],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07700265,0.00005163793,0.9207901,0.001085266,0.0001641587,0.0004204772,0.00002892603,0.00003822349,0.0004185444],"genre_scores_gemma":[0.9959108,0.000002669236,0.002140424,0.0005270745,0.001274932,0.00005149172,0.00001495583,0.00001825113,0.00005935581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9619265,"threshold_uncertainty_score":0.3205406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619498036174084,"score_gpt":0.2924397395672531,"score_spread":0.2762447592055123,"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."}}