{"id":"W2057208460","doi":"10.1118/1.1374244","title":"Dosimetric investigation and portal dose image prediction using an amorphous silicon electronic portal imaging device","year":2001,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":194,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; CancerCare Manitoba","funders":"Manitoba Health Research Council","keywords":"Imaging phantom; Detector; Dosimetry; Optics; Photon; Materials science; Dose profile; Image sensor; X-ray detector; Physics; Amorphous silicon; Medical imaging; Nuclear medicine; Silicon; Computer science; Optoelectronics; Crystalline silicon","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":[0.0003845351,0.0002668229,0.0001986166,0.0002568254,0.000120728,0.0004395315,0.0004434414,0.0003915881,0.0006674627],"category_scores_gemma":[0.001353355,0.0002135676,0.0002335365,0.0002132095,0.0001793729,0.0002169923,0.0002330061,0.0003374862,0.0001319112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003630913,"about_ca_system_score_gemma":0.0005023073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001459848,"about_ca_topic_score_gemma":0.001814624,"domain_scores_codex":[0.9998471,0.0000407834,0.000008278115,0.00002390471,0.00006927051,0.0000107948],"domain_scores_gemma":[0.9996042,0.0002241148,0.00003917825,0.00003621023,0.00008328714,0.00001300346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004224405,0.0001216751,0.01435653,0.0001106619,0.00005542879,0.0002368253,0.0001272771,0.6983961,0.1135502,0.003103359,0.0005861103,0.1689335],"study_design_scores_gemma":[0.00001264213,0.00008031786,0.001489362,0.000002708328,0.000007085307,0.00007754917,0.000006864093,0.9694564,0.02833409,0.0001672733,0.000359038,0.000006810248],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2743123,0.0001280887,0.7226384,0.00008290511,0.00001041576,0.0000677402,0.00005515712,0.001484934,0.001220115],"genre_scores_gemma":[0.6988362,0.00008007108,0.2998233,0.0000325201,0.000003823625,0.00003994132,0.00009252389,0.00006345499,0.001028082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001459848,"threshold_uncertainty_score":0.002902687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121246182882124,"score_gpt":0.2790889821723179,"score_spread":0.2678765203434966,"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."}}