{"id":"W4293430410","doi":"","title":"Progress on Ultra-wideband Multi-Antenna Radar Imaging for MIGA","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Vancouver Biotech (Canada)","funders":"","keywords":"Radar; Radar imaging; Computer science; Antenna (radio); Wideband; Telecommunications; Remote sensing; Electronic engineering; Geology; Engineering","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":[0.002373833,0.001016049,0.001603175,0.001028855,0.0002509725,0.002636117,0.001400865,0.002177999,0.005498424],"category_scores_gemma":[0.002263019,0.0006263649,0.0006916245,0.0009016723,0.0006755972,0.002821247,0.001647476,0.001795552,0.005407906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005687756,"about_ca_system_score_gemma":0.000430014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001970365,"about_ca_topic_score_gemma":0.0002348846,"domain_scores_codex":[0.9988649,0.0002677121,0.00005049965,0.0002634259,0.0004454677,0.0001080554],"domain_scores_gemma":[0.9968132,0.001134557,0.0002311193,0.0005268697,0.001140443,0.0001538157],"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":[0.0004422427,0.0001644822,0.001647601,0.001687321,0.0001764407,0.0002108383,0.000321449,0.01542216,0.3645367,0.03491766,0.006669732,0.5738034],"study_design_scores_gemma":[0.00005753261,0.0009368254,0.0071093,0.0006474432,0.0003599084,0.002431928,0.0004656672,0.2572811,0.3243735,0.03352997,0.3725669,0.0002399427],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03435306,0.07330102,0.8560248,0.00317985,0.000839151,0.00007047567,0.0001911428,0.001368252,0.03067234],"genre_scores_gemma":[0.300035,0.04783637,0.6184102,0.001823551,0.00178735,0.0001230212,0.0008608825,0.0007140452,0.02840962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005498424,"threshold_uncertainty_score":0.01839411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445776624246548,"score_gpt":0.2293561441164177,"score_spread":0.2148983778739523,"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."}}