{"id":"W4384575262","doi":"10.23952/asvao.5.2023.2.10","title":"Minimum-rank positive semidefinite matrix completion with chordal patterns and applications to semidefinite relaxations","year":2023,"lang":"en","type":"article","venue":"Applied Set-Valued Analysis and Optimization","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chordal graph; Mathematics; Semidefinite programming; Rank (graph theory); Positive-definite matrix; Matrix (chemical analysis); Matrix completion; Large margin nearest neighbor; Combinatorics; Mathematical optimization; Computer science; Physics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001307128,0.0002132978,0.0003062969,0.0006182186,0.0002320122,0.0001217428,0.00007265415,0.00009159711,0.00001443081],"category_scores_gemma":[0.000006742303,0.000208495,0.00004791189,0.001916469,0.00003686317,0.000086293,0.00004605852,0.0001112486,0.00001276952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003092051,"about_ca_system_score_gemma":0.000007242892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006323477,"about_ca_topic_score_gemma":0.00005651982,"domain_scores_codex":[0.9989427,0.0000269907,0.0002704647,0.0003589447,0.0001855024,0.0002153607],"domain_scores_gemma":[0.9993671,0.0000888471,0.00007775187,0.0002601715,0.00009623609,0.0001098721],"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":[0.0000168987,0.00001095573,0.001605568,0.00001603541,0.0003314939,0.000001550301,0.0003468172,0.9927217,0.001244067,0.002169624,0.0002195733,0.001315654],"study_design_scores_gemma":[0.0003281685,0.00004008578,0.01508052,0.00004159008,0.0008190639,0.000004266668,0.0002952379,0.9815118,0.0009533612,0.0002800157,0.0002663287,0.0003795142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09874582,0.00005213048,0.8990251,0.00009372857,0.00001188343,0.0004607257,0.0001113213,0.0006709972,0.0008283216],"genre_scores_gemma":[0.9657432,0.0004445023,0.03192151,0.0001128249,0.0000484683,0.0002017685,0.001444002,0.00004347731,0.00004017702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8671036,"threshold_uncertainty_score":0.8502179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159590362435576,"score_gpt":0.2397724754489144,"score_spread":0.2281765718245587,"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."}}