{"id":"W4239825379","doi":"10.1109/ultsym.2017.8092609","title":"Optimization strategies and neighbor pair complementary codes for massively parallel focal zone ultrafast ultrasound","year":2017,"lang":"en","type":"article","venue":"2017 IEEE International Ultrasonics Symposium (IUS)","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Massively parallel; Interference (communication); Clutter; Optics; Algorithm; Channel (broadcasting); Physics; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003671399,0.0004525197,0.0005087929,0.0002187094,0.0009030923,0.001071531,0.0006009227,0.0001783858,0.0001233498],"category_scores_gemma":[0.0002578722,0.000429446,0.0002735926,0.00006091068,0.0005659537,0.001184123,0.00004998187,0.0003341647,0.00001763159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297802,"about_ca_system_score_gemma":0.0002481233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002868279,"about_ca_topic_score_gemma":0.0001072916,"domain_scores_codex":[0.9975406,0.00004227255,0.0005721792,0.0007085478,0.0005744236,0.0005619602],"domain_scores_gemma":[0.9974618,0.0005823031,0.0005016224,0.0006349333,0.000529432,0.000289943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004703077,0.002729167,0.3886378,0.0008057415,0.005057922,0.00008365476,0.002892913,0.06162601,0.4712771,0.02142386,0.03859327,0.002169445],"study_design_scores_gemma":[0.05087798,0.005617934,0.3221338,0.002611934,0.003534788,0.005653295,0.01149526,0.2753495,0.02412653,0.005465657,0.2871816,0.005951792],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4006001,0.0003432558,0.5651924,0.01393448,0.003494425,0.001823524,0.001512151,0.000340307,0.01275935],"genre_scores_gemma":[0.9191974,0.00125002,0.0762201,0.0005704139,0.000568754,0.0001171111,0.0009353564,0.00007504083,0.001065845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5185973,"threshold_uncertainty_score":0.9999654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609774391043224,"score_gpt":0.3053209228614162,"score_spread":0.2792231789509839,"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."}}