{"id":"W2003274561","doi":"10.1155/2011/843924","title":"Mapping Iterative Medical Imaging Algorithm on Cell Accelerator","year":2011,"lang":"en","type":"article","venue":"International Journal of Biomedical Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Algorithm; Speedup; Coprocessor; SIMD; Multi-core processor; Parallel computing; PowerPC; Software","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":[0.0001730865,0.0003480981,0.0003438144,0.0002770992,0.0003213305,0.0003899833,0.0006761269,0.0004192932,0.005559599],"category_scores_gemma":[0.0005981994,0.000169833,0.0003214761,0.0004371369,0.000182694,0.0003111695,0.0005903086,0.0004071679,0.001077534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000401981,"about_ca_system_score_gemma":0.001047318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004486523,"about_ca_topic_score_gemma":0.004163102,"domain_scores_codex":[0.9998553,0.00001815295,0.000008650792,0.00002372926,0.00007282554,0.0000213414],"domain_scores_gemma":[0.9998205,0.00004813358,0.00001751134,0.00002437296,0.00007402302,0.00001543035],"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":[0.0003449791,0.0001038553,0.003288093,0.0001892211,0.00004511614,0.0004541359,0.0003188376,0.5471261,0.0560011,0.01409207,0.008211326,0.3698252],"study_design_scores_gemma":[0.000018368,0.0000478701,0.0003370388,0.000003932149,0.000004935794,0.0000983725,0.00002366329,0.9888617,0.005208455,0.001288502,0.004101573,0.000005629339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04357908,0.0001342827,0.9454535,0.0001822107,0.00004342269,0.00008559578,0.0000800485,0.001570018,0.008871799],"genre_scores_gemma":[0.2524664,0.0001573662,0.7365684,0.0001127651,0.00002201688,0.0002444814,0.000420333,0.0001455224,0.009862715],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005559599,"threshold_uncertainty_score":0.01859868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02782640298560587,"score_gpt":0.3329445100037226,"score_spread":0.3051181070181167,"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."}}