{"id":"W2073516219","doi":"10.1118/1.2241306","title":"SU‐FF‐T‐389: Sensitivity of Document Scanners Used for Radiochromic Film Dosimetry","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Scanner; Dosimetry; Optics; Sensitivity (control systems); Pixel; Materials science; Calibration; Image resolution; RGB color model; Image quality; Physics; Nuclear medicine; Computer science; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001009996,0.0003589391,0.0002706737,0.000428035,0.0002053563,0.0005513768,0.0005885984,0.0008171814,0.002311439],"category_scores_gemma":[0.002749623,0.000312259,0.0001762314,0.0005673947,0.0004198898,0.0003490148,0.0002555177,0.0004086895,0.0007005092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005749706,"about_ca_system_score_gemma":0.0003018668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002209438,"about_ca_topic_score_gemma":0.001850823,"domain_scores_codex":[0.9989729,0.0002127748,0.0000540506,0.0002486041,0.0004207601,0.00009100278],"domain_scores_gemma":[0.9989202,0.0005469077,0.0001266717,0.000103562,0.0002557915,0.00004687424],"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":[0.0001838783,0.00002087517,0.003190752,0.00007956066,0.00001958757,0.00005620006,0.00006920674,0.0003381565,0.9856565,0.0001002952,0.0001917175,0.01009328],"study_design_scores_gemma":[0.000004238062,0.0002081327,0.01138057,0.000007775662,0.00002889827,0.0003630336,0.00002708755,0.003047139,0.983699,0.00002323504,0.001201112,0.000009810478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9243926,0.003420054,0.0663631,0.0001507649,0.00006450592,0.0001170143,0.0003873623,0.00120933,0.003895364],"genre_scores_gemma":[0.9473742,0.0008393616,0.04705811,0.0001091415,0.00001103846,0.00008007843,0.000644382,0.0001307809,0.003752893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002311439,"threshold_uncertainty_score":0.007732511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005708415722054755,"score_gpt":0.2751203761052362,"score_spread":0.2694119603831814,"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."}}