{"id":"W7090061173","doi":"","title":"Sparse Signal Blind Deconvolution using Bayesian MAP Estimation","year":2025,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Heterotopic Ossification and Related Conditions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Deconvolution; Blind deconvolution; Pattern recognition (psychology); Bayesian probability; SIGNAL (programming language); Signal processing; Noise (video)","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":[0.001257324,0.0009908213,0.001077604,0.0006999142,0.0003409035,0.001272079,0.0009793829,0.001608997,0.003607902],"category_scores_gemma":[0.007125414,0.0006243343,0.0009996265,0.0009529745,0.0009132939,0.001475139,0.001941309,0.001723769,0.002193012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003737644,"about_ca_system_score_gemma":0.001405827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002142606,"about_ca_topic_score_gemma":0.001968694,"domain_scores_codex":[0.9992974,0.0002688132,0.0000362453,0.0001251505,0.0002251191,0.00004731559],"domain_scores_gemma":[0.9979449,0.001280054,0.0001585366,0.0001838588,0.0003742523,0.00005830127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006293599,0.0001135712,0.0007043037,0.0005657928,0.0002283624,0.0002034687,0.0001815256,0.3864818,0.02769442,0.06100651,0.007507631,0.5146832],"study_design_scores_gemma":[0.000027766,0.0000410506,0.0002208913,0.00003040111,0.00002290605,0.0001204076,0.00001509835,0.9625183,0.005530517,0.02759344,0.003851522,0.00002773961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001151214,0.0001180652,0.9978175,0.0001137554,0.00002395417,0.000010423,0.0000440359,0.0001520817,0.0005689957],"genre_scores_gemma":[0.1114463,0.001037881,0.8792427,0.0002437768,0.0002224332,0.0001493048,0.0005635167,0.0001804143,0.006913697],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003607902,"threshold_uncertainty_score":0.01206964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028925627081394,"score_gpt":0.2753060930808425,"score_spread":0.2550168368100285,"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."}}