{"id":"W2020719295","doi":"10.1118/1.2975152","title":"Improving quality assurance for assembled COMS eye plaques using a pinhole gamma camera","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Pinhole (optics); Magnification; Pinhole camera; Optics; Materials science; Quality assurance; Gamma camera; Biomedical engineering; Brachytherapy; Nuclear medicine; Physics; Medicine; Radiology","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":[0.003181189,0.000914669,0.0005648063,0.001483153,0.0003722763,0.001072963,0.0008042572,0.0006713927,0.003827437],"category_scores_gemma":[0.004450035,0.0008508855,0.0005045453,0.0005914341,0.0004539421,0.0006350459,0.0007468061,0.0006133316,0.0008322369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006179511,"about_ca_system_score_gemma":0.0007036136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001641565,"about_ca_topic_score_gemma":0.002242773,"domain_scores_codex":[0.9984969,0.0003764368,0.0001063831,0.0002909211,0.0006244391,0.0001048881],"domain_scores_gemma":[0.9958802,0.001396483,0.0004955789,0.0007141653,0.001394862,0.0001188124],"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":[0.0002165487,0.00003836846,0.002797272,0.000196922,0.00002085552,0.000177953,0.0001893462,0.0008426184,0.968439,0.0003927213,0.0003334391,0.0263549],"study_design_scores_gemma":[0.00006304856,0.0007456711,0.01291921,0.00005676549,0.00008802171,0.001628094,0.000101964,0.01054596,0.9669463,0.0001326048,0.006714308,0.00005808223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3889874,0.001795053,0.6008263,0.0001915314,0.0001031234,0.0007681684,0.0002199836,0.003494699,0.003613724],"genre_scores_gemma":[0.4697915,0.0009916435,0.523362,0.0001038319,0.0000361632,0.0002872122,0.0003636266,0.0006658427,0.004398311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003827437,"threshold_uncertainty_score":0.01682395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05781801430993974,"score_gpt":0.377165053146331,"score_spread":0.3193470388363913,"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."}}