{"id":"W3080322433","doi":"","title":"A 3-TERM OPTIMIZATION CRITERION FOR FASTER INVERSION IN MICROWAVE TOMOGRAPHY","year":2008,"lang":"en","type":"preprint","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Term (time); Inversion (geology); Tomography; Microwave imaging; Computer science; Microwave; Mathematical optimization; Mathematics; Geology; Physics; Optics; Telecommunications; Seismology","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"],"consensus_categories":[],"category_scores_codex":[0.0001004368,0.0003030309,0.0003641828,0.0007089445,0.00003820372,0.00008981091,0.0001926451,0.0002481177,0.00003642785],"category_scores_gemma":[0.000007528885,0.0003268351,0.0002779606,0.0001954187,0.000028442,0.00007543452,0.0001278233,0.0002985321,0.000008094254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000108087,"about_ca_system_score_gemma":0.00001409266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004825216,"about_ca_topic_score_gemma":0.00002746952,"domain_scores_codex":[0.9988358,0.00002390323,0.0003712352,0.0003871404,0.0001002057,0.0002816982],"domain_scores_gemma":[0.9994535,0.00002352902,0.00004933834,0.0003640002,0.00005101296,0.00005862948],"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":[0.00001464443,0.00003095069,0.001647127,0.0007297571,0.0001094667,0.00001116771,0.0008384016,0.9678901,0.01635165,0.00000155787,0.007714712,0.004660499],"study_design_scores_gemma":[0.0003808819,0.0000117988,0.0002665673,0.0003163856,0.00005147611,0.000009265591,0.00003776093,0.9901504,0.007694473,0.00005398076,0.000549439,0.0004775869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1970505,0.0004135577,0.7991568,0.000142861,0.0005651701,0.0003986188,0.00003777449,0.0003994177,0.001835266],"genre_scores_gemma":[0.9275637,0.0009999707,0.0701478,0.0001536123,0.0001252837,0.00009834221,0.0005217073,0.00008883786,0.0003007475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7305132,"threshold_uncertainty_score":0.9999183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377661757036774,"score_gpt":0.2214439906430857,"score_spread":0.207667373072718,"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."}}