{"id":"W2077108379","doi":"10.1504/ijica.2009.027997","title":"A modified version of Jacobi approach","year":2009,"lang":"en","type":"article","venue":"International Journal of Innovative Computing and Applications","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Set (abstract data type); Prime (order theory); Jacobi method; Algorithm; Mathematical optimization; Filter (signal processing); Theoretical computer science; Applied mathematics; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005538643,0.000611449,0.0009488089,0.0005559198,0.0005625775,0.0006693964,0.001647841,0.0007293452,0.005704122],"category_scores_gemma":[0.001138814,0.0003722567,0.0009661558,0.0007174439,0.0004883226,0.001000577,0.0009424458,0.00101854,0.001965745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004160435,"about_ca_system_score_gemma":0.001891688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003025671,"about_ca_topic_score_gemma":0.003517293,"domain_scores_codex":[0.9992653,0.000106877,0.0000371892,0.0001259977,0.0004141388,0.00005046769],"domain_scores_gemma":[0.9995568,0.0001083415,0.00003201009,0.00009348917,0.000182473,0.00002678617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002106788,0.0001690304,0.001367238,0.0005629944,0.0002001338,0.0003207188,0.0003565706,0.2538851,0.03981449,0.1407028,0.0144335,0.5479767],"study_design_scores_gemma":[0.00003465028,0.0001088067,0.000353413,0.00001643359,0.00002681959,0.0002587045,0.00003380512,0.9442227,0.005950071,0.02368982,0.02527061,0.00003406103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004252025,0.000335562,0.9872114,0.0001720917,0.0002314021,0.00008012785,0.00007413025,0.0004299735,0.007213306],"genre_scores_gemma":[0.1099959,0.000560561,0.8678104,0.0002235701,0.0002731115,0.0002672355,0.0002331373,0.0003188385,0.02031719],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005704122,"threshold_uncertainty_score":0.01908225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444893167142222,"score_gpt":0.2915799217363818,"score_spread":0.2771309900649596,"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."}}