{"id":"W2920975289","doi":"10.1117/12.2534108","title":"Multi-streaming and multi-GPU optimization for a matched pair of Projector and Backprojector","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Projector; Computer science; Computation; Iterative reconstruction; Convergence (economics); Thread (computing); Projection (relational algebra); Voxel; Speedup; Algorithm; Computer vision; Parallel computing","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":[0.0007671144,0.0007708612,0.0007384162,0.0003924434,0.0003992827,0.0007727934,0.001238501,0.0008494759,0.004030571],"category_scores_gemma":[0.00189584,0.0003985078,0.0007129802,0.0006590563,0.0005146838,0.0008752767,0.001149739,0.0008210525,0.0006983432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005532203,"about_ca_system_score_gemma":0.001208238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005290641,"about_ca_topic_score_gemma":0.004744941,"domain_scores_codex":[0.9994619,0.0001136907,0.0000263323,0.00006331565,0.0002741053,0.00006062412],"domain_scores_gemma":[0.9994837,0.0001571731,0.00004057333,0.00008614756,0.0001758195,0.00005641575],"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":[0.0009724868,0.0004037353,0.003346127,0.0004274906,0.0001991109,0.0006687744,0.0003314739,0.5618426,0.06701019,0.03639455,0.009121004,0.3192825],"study_design_scores_gemma":[0.00002361584,0.00002859278,0.0001585088,0.000003902634,0.000004281828,0.00004382815,0.000009501146,0.9932133,0.004101967,0.001289444,0.001117027,0.000006033441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03406651,0.0001610902,0.9616185,0.0001626028,0.00006986294,0.00007422149,0.00007088244,0.001293697,0.002482603],"genre_scores_gemma":[0.1837649,0.00008610726,0.8118367,0.00005258173,0.00002893119,0.0001411399,0.0002061298,0.0005166333,0.00336681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005290641,"threshold_uncertainty_score":0.01348364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0685649597219261,"score_gpt":0.3601777296133007,"score_spread":0.2916127698913746,"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."}}