{"id":"W2252428181","doi":"","title":"Low-rank spectral optimization","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Eigenvalues and eigenvectors; Rank (graph theory); Deconvolution; Optimization problem; Computer science; Mathematical optimization; Range (aeronautics); Algorithm; Signal processing; SIGNAL (programming language); Dual (grammatical number); Mathematics; Digital signal processing; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004292476,0.00006330072,0.00006085485,0.00002169608,0.00001941633,0.00002076419,0.00007435172,0.000009353884,0.0003995289],"category_scores_gemma":[0.000003113016,0.00005727453,0.00002334049,0.00006238176,0.00001753515,0.000162209,0.00002299865,0.00004946588,0.00005240235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001609984,"about_ca_system_score_gemma":0.0000219561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003617002,"about_ca_topic_score_gemma":2.512423e-7,"domain_scores_codex":[0.9996365,0.000007752548,0.00007386573,0.0001000392,0.00006768409,0.0001141175],"domain_scores_gemma":[0.9997365,0.000005952758,0.00002423264,0.0001328483,0.00004409476,0.0000563371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005600393,0.0006334506,0.08347701,0.00001258852,0.00009377881,0.000006713979,0.0007941414,0.2697881,0.002278067,0.5047891,0.08129735,0.05677376],"study_design_scores_gemma":[0.002660979,0.0001908834,0.0007612894,0.00005448493,0.0000489467,0.000003828075,0.0009945693,0.228755,0.3448619,0.3933656,0.02697513,0.00132737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003416033,0.000003768556,0.8699989,0.0001644243,0.00004889467,0.00006440527,0.000001777459,0.0001939231,0.1261079],"genre_scores_gemma":[0.6875458,2.603971e-7,0.310993,0.00004913031,0.0001505464,0.000007311077,0.00001528793,0.00001021716,0.001228411],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6841298,"threshold_uncertainty_score":0.4374561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401444849490232,"score_gpt":0.2718772413100632,"score_spread":0.2578627928151609,"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."}}