{"id":"W2586457337","doi":"10.1049/iet-rsn.2016.0433","title":"Efficient local optimisation‐based approach for non‐convex and non‐smooth source localisation problems","year":2017,"lang":"en","type":"article","venue":"IET Radar Sonar & Navigation","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Regular polygon; Computer science; Mathematical optimization; Mathematics; Geometry","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":[0.0009328813,0.0009057588,0.001239134,0.0005847332,0.0002909894,0.0007019934,0.001175342,0.001219613,0.002222159],"category_scores_gemma":[0.002355746,0.0005830536,0.0009450403,0.0006503459,0.0007835907,0.0009785071,0.001489391,0.001443309,0.0009226517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000368915,"about_ca_system_score_gemma":0.0007430685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001685371,"about_ca_topic_score_gemma":0.001566727,"domain_scores_codex":[0.9995559,0.0001565948,0.0000206494,0.0000646772,0.0001622978,0.00003994916],"domain_scores_gemma":[0.9991624,0.0005517817,0.000079636,0.00005758054,0.0001222523,0.00002634007],"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":[0.00008166091,0.00003017046,0.0001947506,0.0002137522,0.00004604084,0.000120377,0.0001472117,0.9014042,0.01216755,0.01218885,0.001240705,0.07216483],"study_design_scores_gemma":[0.00000576179,0.0000201009,0.00003486253,0.00000509725,0.000004070103,0.00002263029,0.000007209866,0.9969398,0.0008218589,0.001657811,0.0004751891,0.000005607146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001282109,0.00008581192,0.9980795,0.00003000635,0.000007349804,0.000006837417,0.000004126045,0.00007985617,0.0004243806],"genre_scores_gemma":[0.297536,0.0006765424,0.6948336,0.0001552895,0.0001185235,0.0002714548,0.0001392483,0.0002695519,0.005999721],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002222159,"threshold_uncertainty_score":0.007433832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01730261581668095,"score_gpt":0.2357408096595899,"score_spread":0.2184381938429089,"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."}}