{"id":"W2062405277","doi":"10.1145/2508168.2508174","title":"Optimizing MATLAB feval with dynamic techniques","year":2013,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"MATLAB; Computer science; Solver; Function (biology); Interpreter; Argument (complex analysis); Programming language; Computer engineering; Computational science; Feature (linguistics); Algorithm","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":[0.0001224623,0.0001342372,0.0001240441,0.0001188151,0.0001094376,0.0003334547,0.0006803761,0.00005132285,0.00005998943],"category_scores_gemma":[0.000006666585,0.00009761065,0.0000291962,0.0003032533,0.00003414912,0.0005996051,0.0001933243,0.0001009988,0.00009215338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003365313,"about_ca_system_score_gemma":0.00003280774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006227409,"about_ca_topic_score_gemma":0.000002633252,"domain_scores_codex":[0.9990897,0.0000325101,0.0001570997,0.0003007207,0.000178102,0.0002418694],"domain_scores_gemma":[0.9992461,0.00003065506,0.00006218364,0.0004587474,0.0001317528,0.00007059637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002155538,0.0005095822,0.001118701,0.00009695497,0.0001373927,0.00006318477,0.002189079,0.01761419,0.008864972,0.2230761,0.06522998,0.6810783],"study_design_scores_gemma":[0.0001447598,0.0001781722,0.0003303156,0.00004269872,0.000002845787,0.00005150253,0.0000200197,0.9781143,0.01556267,0.003469472,0.00171652,0.000366729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001261868,0.00002777684,0.9624645,0.000963335,0.00002789946,0.0002318476,1.07969e-7,0.003017706,0.03200502],"genre_scores_gemma":[0.2152486,0.00001159074,0.7828596,0.0004374034,0.000009497489,0.00003912991,0.000001085912,0.000009211573,0.001383926],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9605001,"threshold_uncertainty_score":0.3980447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007093568675823372,"score_gpt":0.2323630931947192,"score_spread":0.2252695245188958,"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."}}