{"id":"W1985161741","doi":"10.1097/01.hp.0000305820.67206.31","title":"BOMAB phantom variability: do small dimensional changes matter?","year":2008,"lang":"en","type":"article","venue":"Health Physics","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Imaging phantom; Monte Carlo method; Detector; Physics; Characterization (materials science); Materials science; Optics; Biomedical engineering; Nuclear medicine; Mathematics; Statistics; Medicine","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":[0.03381596,0.0005088215,0.001012721,0.0007217272,0.0005603408,0.002139599,0.0009807873,0.00144038,0.002355316],"category_scores_gemma":[0.1593508,0.0006637071,0.0009469791,0.001176706,0.00158849,0.001800808,0.000936476,0.001240433,0.000916085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006216875,"about_ca_system_score_gemma":0.0003789125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001311242,"about_ca_topic_score_gemma":0.001526496,"domain_scores_codex":[0.977485,0.01245526,0.001126081,0.004420061,0.004167121,0.0003464067],"domain_scores_gemma":[0.7741513,0.185159,0.01574654,0.01804962,0.006076057,0.0008175367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006153679,0.0005407305,0.4974127,0.002250612,0.003216678,0.0008459107,0.005830164,0.02963557,0.05606364,0.00630153,0.0229689,0.3687799],"study_design_scores_gemma":[0.0002153507,0.002375382,0.8628809,0.0004597369,0.001648643,0.004225187,0.001246096,0.0325301,0.04111751,0.01409798,0.03874686,0.0004562715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5920773,0.02641802,0.3412811,0.0105713,0.002345934,0.0007493501,0.002946886,0.002711382,0.02089888],"genre_scores_gemma":[0.9748199,0.001112384,0.01620905,0.002767654,0.0003841991,0.0001885674,0.001204108,0.001762251,0.001551984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03381596,"threshold_uncertainty_score":0.1788381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05020588227982125,"score_gpt":0.3114995799755161,"score_spread":0.2612936976956949,"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."}}