{"id":"W2948431608","doi":"","title":"Precision of Imaging Algorithms Based on ToF Estimation of Guided Waves","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Cramér–Rao bound; Algorithm; Estimator; A priori and a posteriori; Position (finance); Monte Carlo method; Computer science; Estimation theory; SIGNAL (programming language); Noise (video); Isotropy; Sensor array; Signal-to-noise ratio (imaging); Mathematics; Statistics; Artificial intelligence; Physics; Telecommunications","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":[0.002860601,0.001262726,0.0008151932,0.001344967,0.000443498,0.002213016,0.0008526268,0.001807844,0.002133631],"category_scores_gemma":[0.02143241,0.0005254463,0.0004562135,0.0008767057,0.0006144552,0.002340926,0.001341334,0.001282497,0.0009271341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005631343,"about_ca_system_score_gemma":0.001158903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362729,"about_ca_topic_score_gemma":0.0009065748,"domain_scores_codex":[0.9981053,0.000423626,0.0001089116,0.0003791635,0.0008439839,0.0001390607],"domain_scores_gemma":[0.9907451,0.005269691,0.0006450267,0.0009854886,0.002227452,0.0001272406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002238657,0.00008434774,0.007304577,0.0005912593,0.0002102702,0.0001267245,0.0002575462,0.1088618,0.1666835,0.01192735,0.002937118,0.6987768],"study_design_scores_gemma":[0.00008074114,0.0002748006,0.008792552,0.0001624247,0.0001018974,0.0006839788,0.0001572872,0.8074847,0.166451,0.01077332,0.004936304,0.0001009474],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06004497,0.001385802,0.9336873,0.0002778464,0.000190715,0.00003152115,0.0002023683,0.001408829,0.002770569],"genre_scores_gemma":[0.6129948,0.001096884,0.382647,0.0001499145,0.0001181148,0.00005295236,0.0006557832,0.0004783544,0.001806143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002860601,"threshold_uncertainty_score":0.01512849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009585398548544292,"score_gpt":0.2231221637907901,"score_spread":0.2135367652422458,"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."}}