{"id":"W2550033235","doi":"10.1109/piers.2016.7734531","title":"Effects of data collection schemes and systems on the imaging performance of electromagnetic inverse problems","year":2016,"lang":"en","type":"article","venue":"","topic":"Numerical methods in inverse problems","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Inverse problem; Computer science; Convergence (economics); Mathematical optimization; Inversion (geology); Inverse; Mathematical problem; Algorithm; Applied mathematics; Mathematics","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":[0.004388489,0.0005581963,0.0007397773,0.0006773581,0.0006995258,0.001345703,0.0006997285,0.0008215827,0.004828636],"category_scores_gemma":[0.02513366,0.0004450913,0.0003942795,0.001734537,0.0006322565,0.001436667,0.001477697,0.0008198805,0.00115079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006233969,"about_ca_system_score_gemma":0.0004287985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005878634,"about_ca_topic_score_gemma":0.0008947696,"domain_scores_codex":[0.9981048,0.0008936778,0.0001668991,0.000209318,0.0004962725,0.0001290091],"domain_scores_gemma":[0.9656796,0.0277629,0.001297991,0.002346384,0.002593879,0.000319319],"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":[0.005591754,0.000573111,0.01382793,0.005067384,0.000221422,0.0008004135,0.001212773,0.1340991,0.325333,0.01238759,0.009110319,0.4917753],"study_design_scores_gemma":[0.0002058721,0.0029562,0.01390613,0.000680101,0.0003887932,0.001090945,0.000688777,0.3417433,0.5991889,0.004678237,0.03416153,0.0003112842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4844152,0.01023213,0.4842441,0.001674937,0.0008301779,0.0006791059,0.0008730844,0.002617827,0.01443334],"genre_scores_gemma":[0.6752665,0.004174899,0.3136679,0.0003023086,0.0001217311,0.0004232814,0.0008456304,0.0007405837,0.004457141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004828636,"threshold_uncertainty_score":0.02320886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06584760707083155,"score_gpt":0.3098388208672025,"score_spread":0.243991213796371,"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."}}