{"id":"W2030135423","doi":"10.1118/1.4884036","title":"Novel, full 3D scintillation dosimetry using a static plenoptic camera","year":2014,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Hôtel-Dieu de Québec; Université du Québec à Montréal; Université Laval","funders":"European Social Fund; National Cancer Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Dosimetry; Scintillation; Medical imaging; Optics; Medical physics; Computer graphics (images); Nuclear medicine; Computer science; Physics; Artificial intelligence; Medicine; Detector","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001689887,0.000162266,0.0002308108,0.00003237633,0.00009912308,0.00002606147,0.0001602901,0.00004973574,0.0003961503],"category_scores_gemma":[0.00002814886,0.000147679,0.00006432191,0.0002096006,0.0001247608,0.0001489232,0.00004070324,0.0002437251,0.00001160245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006491702,"about_ca_system_score_gemma":0.00008589079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009497878,"about_ca_topic_score_gemma":5.255138e-7,"domain_scores_codex":[0.9988256,0.00003388984,0.0002207688,0.0002324501,0.0004231393,0.0002641742],"domain_scores_gemma":[0.9993126,0.0001305664,0.000118231,0.0002521583,0.00004322594,0.0001432562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004856476,0.0008051882,0.0115202,0.0001144928,0.0002601587,0.000002234571,0.0007491538,0.00603927,0.04713778,0.02464132,0.0009247837,0.9077569],"study_design_scores_gemma":[0.002552493,0.0003324111,0.0005212298,0.0003682072,0.0001035302,0.000006963097,0.00004456548,0.9214805,0.03390388,0.03199159,0.007697306,0.0009973553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1255533,0.000013045,0.8734421,0.00005855674,0.0000880597,0.0001198112,0.000007117069,0.00008857232,0.0006295502],"genre_scores_gemma":[0.9399675,0.000001712723,0.05857368,0.0003141496,0.001053621,0.000009180105,0.00001407794,0.00003788547,0.00002823089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9154412,"threshold_uncertainty_score":0.6022174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131094691650879,"score_gpt":0.2924619688822511,"score_spread":0.2793524997171632,"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."}}