{"id":"W4211108041","doi":"10.1007/978-1-4471-7452-3_19","title":"Matrix Completion","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Matrix completion; Matrix (chemical analysis); Extension (predicate logic); Matrix decomposition; Sparse matrix; Incomplete LU factorization; Mathematics; LU decomposition; Computer science; Algebra over a field; Algorithm; Pure mathematics; Physics; Materials science; Programming language","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00001542067,0.0001637371,0.0001890186,0.00007171078,0.0000101955,0.00001660069,0.00008304958,0.0001832556,0.001015769],"category_scores_gemma":[5.270284e-7,0.0001612349,0.00007000421,0.000005132169,0.00001107788,0.0000199032,0.00002410554,0.0001643191,0.001465019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003110032,"about_ca_system_score_gemma":0.000005505863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000033423,"about_ca_topic_score_gemma":0.000002501361,"domain_scores_codex":[0.9996019,0.000001157404,0.0001105619,0.0001066752,0.00009276094,0.00008694805],"domain_scores_gemma":[0.9996653,0.00001200806,0.00001877972,0.0002591667,0.00002494333,0.00001986821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002289099,0.000001749563,0.000001761001,0.00004531331,0.0000803794,0.00001341737,0.000007931537,0.0008839868,0.001287998,0.6477995,0.3447739,0.005101817],"study_design_scores_gemma":[0.00004036844,0.00001298986,0.00000608635,0.0001235993,0.00001814578,0.000008943155,4.749357e-7,0.005480118,0.001039332,0.01311468,0.9798905,0.0002648047],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001302195,0.0003921165,0.008887056,0.00001095499,0.0002943428,0.000113745,0.000006074798,0.001517958,0.9887647],"genre_scores_gemma":[0.0116722,0.0002628993,0.002333259,0.00005707747,0.0001682932,9.88623e-7,0.00004602022,0.0000973846,0.9853619],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6351166,"threshold_uncertainty_score":0.9998974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794988775270329,"score_gpt":0.2198589278239499,"score_spread":0.2019090400712466,"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."}}