{"id":"W4399650109","doi":"10.32614/cran.package.expm","title":"expm: Matrix Exponential, Log, 'etc'","year":2010,"lang":"en","type":"dataset","venue":"","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Actua","funders":"","keywords":"Matrix exponential; Exponential function; Matrix (chemical analysis); Mathematics; Applied mathematics; Statistics; Mathematical analysis; Chemistry; Chromatography","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004949624,0.0003894508,0.0003921361,0.0002384343,0.0001669989,0.0004480447,0.003737299,0.0005363139,0.005617519],"category_scores_gemma":[0.00004471395,0.0003245928,0.0001893824,0.0002720711,0.00008124356,0.0003918469,0.001140568,0.0008730415,0.00506426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001293765,"about_ca_system_score_gemma":0.0001224002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001929155,"about_ca_topic_score_gemma":0.00006078629,"domain_scores_codex":[0.9978454,0.0001109676,0.0003812343,0.0007539225,0.0004413598,0.000467085],"domain_scores_gemma":[0.9971228,0.0001239624,0.0001993576,0.002294018,0.00006002688,0.0001997811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002361935,0.00006353558,7.494757e-8,0.00004084434,0.00001640608,0.00007445736,0.000008304743,6.857485e-7,0.00004068388,0.009136396,0.9887735,0.001842809],"study_design_scores_gemma":[0.0001661208,0.0000417476,5.961087e-7,0.00001667229,0.00001649971,0.00006312629,0.000004268616,0.0002709443,0.0003604238,0.004271888,0.9943464,0.0004412892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003362939,0.0001668392,0.08531226,0.0003042325,0.004048523,0.0002210807,0.9084659,0.0002906326,0.001187235],"genre_scores_gemma":[0.000004305737,0.0001476044,0.02813897,0.0005313776,0.001071354,0.00003345336,0.9642496,0.0000177503,0.005805541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05717329,"threshold_uncertainty_score":0.9999206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078951566487924,"score_gpt":0.2658454697796941,"score_spread":0.2550559541148149,"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."}}