{"id":"W2061536862","doi":"10.1088/1742-6596/312/6/062006","title":"Liquid Xenon Detectors for Positron Emission Tomography","year":2011,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of British Columbia; BC Cancer Agency; TRIUMF","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; TRIUMF; California HIV/AIDS Research Program","keywords":"Xenon; Scintillation; Physics; Image resolution; Optics; Avalanche photodiode; Full width at half maximum; Resolution (logic); Detector; Positron emission tomography; Positron; Positron emission; Scintillation counter; Time projection chamber; Sensitivity (control systems); Tomography; Nuclear medicine; Nuclear physics; Electron; Computer science","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":[0.0005794322,0.0004715594,0.0006139325,0.0005403056,0.0002903407,0.0009492039,0.0007392428,0.0006986334,0.006635032],"category_scores_gemma":[0.0005143502,0.0003105738,0.0002816222,0.0008522869,0.0003693311,0.0008928737,0.0006846201,0.001090731,0.003369583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005220623,"about_ca_system_score_gemma":0.000454356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003111476,"about_ca_topic_score_gemma":0.0004405977,"domain_scores_codex":[0.9994798,0.0001220162,0.00002023603,0.00007458564,0.0002548987,0.00004852676],"domain_scores_gemma":[0.9998391,0.00004658084,0.00002670898,0.00002125609,0.00004738131,0.00001898337],"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":[0.0004758971,0.00007693488,0.001242741,0.0006334598,0.00005530963,0.0005699679,0.00008423808,0.001658678,0.6628693,0.03691723,0.01178626,0.28363],"study_design_scores_gemma":[0.0001267408,0.0006610962,0.001561939,0.0001984823,0.0000880361,0.002967311,0.00005697209,0.01426082,0.5155854,0.007254738,0.4571441,0.00009443571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0614547,0.1311363,0.7490163,0.003680199,0.001162696,0.0004441536,0.001182462,0.005875408,0.04604776],"genre_scores_gemma":[0.4214455,0.05150564,0.465073,0.001477706,0.0006045577,0.0005690588,0.002874331,0.0006910465,0.05575898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006635032,"threshold_uncertainty_score":0.02219641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02851502484775487,"score_gpt":0.2394991406112768,"score_spread":0.2109841157635219,"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."}}