{"id":"W2100348194","doi":"10.1118/1.4933421","title":"Multipinhole SPECT helical scan parameters and imaging volume","year":2015,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research; China Scholarship Council","keywords":"Medical imaging; Nuclear medicine; Volume (thermodynamics); Helical computed tomography; Single-photon emission computed tomography; Spect imaging; Helical scan; Computed tomography; Medicine; Medical physics; Radiology; Physics","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":[0.0009025498,0.0003166841,0.0002859271,0.0003850141,0.0001215384,0.0003127705,0.0003566769,0.0002677017,0.001124593],"category_scores_gemma":[0.002595793,0.0002147501,0.0001331999,0.0002842883,0.0002284465,0.0004737649,0.0001749369,0.0002292806,0.0002766602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003584833,"about_ca_system_score_gemma":0.0003943468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002233938,"about_ca_topic_score_gemma":0.0003714524,"domain_scores_codex":[0.9996822,0.0001133164,0.00002722905,0.00005654536,0.00009851158,0.00002221082],"domain_scores_gemma":[0.9984509,0.0008564151,0.0001973606,0.000147571,0.0003017232,0.00004600533],"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":[0.001115306,0.0001628685,0.01498387,0.0004143052,0.00005277099,0.0002605087,0.0001433153,0.04067736,0.8408456,0.001429611,0.0002728239,0.09964167],"study_design_scores_gemma":[0.00009789663,0.001798226,0.02545496,0.00003528907,0.00009231282,0.001705212,0.00005653096,0.08170515,0.88476,0.001144359,0.003096832,0.00005323309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7473168,0.0009487728,0.2488797,0.00009890005,0.00001620889,0.0002526631,0.0003469021,0.0004913019,0.001648742],"genre_scores_gemma":[0.8941056,0.000326706,0.1046546,0.00002846928,0.000008652105,0.0001709653,0.0002694891,0.0001104161,0.0003252802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001124593,"threshold_uncertainty_score":0.0047732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03726940670122159,"score_gpt":0.3253632858537359,"score_spread":0.2880938791525143,"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."}}