{"id":"W2188123353","doi":"","title":"Collimator selection, acquisition speed, and visual assessment of 131I-tositumomab biodistribution in a phantom model.","year":2006,"lang":"en","type":"article","venue":"PubMed","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Collimator; Imaging phantom; Biodistribution; Nuclear medicine; Torso; Dosimetry; Image quality; Medicine; Physics; Computer science; Optics; Artificial intelligence; Chemistry","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":[0.0001001444,0.00008976953,0.0001219411,0.00009651227,0.00003489267,0.00001850218,0.00002646622,0.00003829027,0.000002501052],"category_scores_gemma":[0.000004096766,0.0001015156,0.00001798516,0.0002350834,0.00002005607,0.0002155395,0.00001068566,0.00006854279,4.711359e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001531292,"about_ca_system_score_gemma":0.00001058981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001877335,"about_ca_topic_score_gemma":0.00001336156,"domain_scores_codex":[0.9993696,0.00001065845,0.000189492,0.0001134944,0.000100529,0.0002162062],"domain_scores_gemma":[0.9998523,0.00001168719,0.00003284022,0.00003928517,0.00003120645,0.00003265366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000781909,0.0004050679,0.1354952,0.0003593036,0.00005157145,0.000008870756,0.000100034,0.7438129,0.08780657,0.003229854,0.0004271703,0.02822532],"study_design_scores_gemma":[0.0005506104,0.000007645918,0.345719,0.00001072338,0.00001101337,0.000007403378,0.00002236881,0.6366585,0.01622372,0.0006329997,0.00004211472,0.0001139112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8816434,0.0001739711,0.1171994,0.0000248917,0.00005000473,0.000256721,0.00002325406,0.00009387093,0.0005345364],"genre_scores_gemma":[0.9987874,0.00002233738,0.0009532608,0.000007318279,0.00003885686,0.0001287992,0.00003666353,0.00001065495,0.00001471063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2102237,"threshold_uncertainty_score":0.4139687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00522611567377332,"score_gpt":0.2200571604910928,"score_spread":0.2148310448173194,"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."}}