{"id":"W2965488374","doi":"","title":"A faceted prior for scalable wideband computational imaging","year":2019,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Actua","funders":"","keywords":"Computer science; Scalability","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":[0.0004272721,0.0006509217,0.0006154454,0.0003865665,0.0003850521,0.001378063,0.001077902,0.000964345,0.009939051],"category_scores_gemma":[0.002989258,0.0005243511,0.000495175,0.0006448271,0.0007480789,0.001473754,0.002181999,0.002279873,0.00354367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003702867,"about_ca_system_score_gemma":0.0009400061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001779462,"about_ca_topic_score_gemma":0.004529141,"domain_scores_codex":[0.9995949,0.00007375619,0.0000182964,0.00005432173,0.0002198761,0.0000389104],"domain_scores_gemma":[0.9990761,0.0002920673,0.00004152173,0.0003091369,0.000200791,0.00008027081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004334252,0.0002149944,0.000729189,0.0003236449,0.00009417472,0.0003145934,0.0002237504,0.368487,0.08436815,0.2605393,0.02860671,0.255665],"study_design_scores_gemma":[0.00001422023,0.00003450281,0.00009748384,0.00002120033,0.00000965553,0.00006790603,0.00002450609,0.9425088,0.009590635,0.03826939,0.009345923,0.00001584612],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002777531,0.00005984393,0.9920198,0.0001323415,0.0000481925,0.00001896655,0.0001401055,0.0005068688,0.004296195],"genre_scores_gemma":[0.1293728,0.0003621657,0.8558112,0.0003428381,0.0001366215,0.0001602575,0.0009303949,0.0009093374,0.01197424],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009939051,"threshold_uncertainty_score":0.03324944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005021119396408946,"score_gpt":0.2048463042265585,"score_spread":0.1998251848301495,"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."}}