{"id":"W2170735525","doi":"10.1109/nssmic.1997.670516","title":"Comparison of two systems of multiple line sources for SPECT transmission scanning","year":2002,"lang":"en","type":"article","venue":"1997 IEEE Nuclear Science Symposium Conference Record","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia; Vancouver Hospital and Health Sciences Centre","funders":"","keywords":"Attenuation; Imaging phantom; Collimated light; Artifact (error); Computer science; Transmission (telecommunications); Line (geometry); Noise (video); Transmission line; Correction for attenuation; Line source; Optics; Electronic engineering; Artificial intelligence; Physics; Mathematics; Image (mathematics); Telecommunications; Engineering","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":[0.0004830639,0.0001392633,0.0004825772,0.0001797296,0.0001646118,0.00003748526,0.0003900895,0.00005403831,0.0001120277],"category_scores_gemma":[0.00008915841,0.0001139015,0.0001034682,0.0004580457,0.0007055746,0.0001249536,0.00003176676,0.0001667728,0.000007663868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004158825,"about_ca_system_score_gemma":0.00008945788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002043608,"about_ca_topic_score_gemma":0.000002680533,"domain_scores_codex":[0.9982749,0.00002205576,0.0005566178,0.0003593868,0.0004827025,0.0003043838],"domain_scores_gemma":[0.9986472,0.0001134924,0.0002916098,0.0003733665,0.0003353733,0.0002389485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003568344,0.0002716928,0.003862132,0.0002721231,0.000008314147,6.231226e-7,0.0007762486,0.00005021974,0.9735308,0.0008361331,0.001300281,0.01905578],"study_design_scores_gemma":[0.0006177971,0.0005572684,0.00009159298,0.0006486552,0.00004505122,0.00001149541,0.0002978981,0.8530064,0.1362212,0.00004231782,0.008340103,0.0001202412],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9378706,0.0000430121,0.05761225,0.001662211,0.0002051577,0.0008501054,0.00002062533,0.0001282533,0.001607854],"genre_scores_gemma":[0.9332767,0.0001002887,0.06629655,0.00003734349,0.00007686926,0.00002435477,0.000002800464,0.0000173526,0.0001677245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8529562,"threshold_uncertainty_score":0.4644767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08028997294770786,"score_gpt":0.3575014673401422,"score_spread":0.2772114943924344,"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."}}