{"id":"W2009853803","doi":"10.1016/j.scico.2010.12.001","title":"Partial evaluation of Maple","year":2010,"lang":"en","type":"article","venue":"Science of Computer Programming","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Maple; Computer science; Partial evaluation; Code (set theory); 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":[],"consensus_categories":[],"category_scores_codex":[0.002883949,0.00008416607,0.0001515119,0.0001539068,0.0001180809,0.00005491034,0.0007960538,0.00002552842,0.000006371974],"category_scores_gemma":[0.00009344943,0.00007230171,0.00004426932,0.0008128041,0.0005219055,0.001190657,0.0003814692,0.00009111328,0.000003309975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001294753,"about_ca_system_score_gemma":0.0003276145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002556028,"about_ca_topic_score_gemma":0.00001038543,"domain_scores_codex":[0.9980069,0.00003819729,0.0003098471,0.0003295319,0.001055791,0.0002597701],"domain_scores_gemma":[0.9983324,0.00003527823,0.0002319421,0.0006461793,0.000675803,0.00007843154],"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":[0.000001378539,0.00004830956,0.0003678341,0.00001887073,0.000002893451,4.513375e-7,0.0004844477,0.000338744,0.03705556,0.2202697,0.00001318288,0.7413986],"study_design_scores_gemma":[0.0006373666,0.0002753283,0.004934134,0.00008668078,0.00001442989,0.00002959135,0.00005817779,0.7244889,0.2459059,0.003419795,0.01983594,0.0003137737],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2134959,0.00002062396,0.7849855,0.00003794981,0.001003702,0.0002060747,0.000001245116,0.00004247959,0.0002065531],"genre_scores_gemma":[0.5503059,2.338802e-7,0.4496237,0.000004333004,0.0000534382,0.000007960227,6.274313e-7,0.000001766364,0.000002005589],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7410848,"threshold_uncertainty_score":0.2948378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531060812568823,"score_gpt":0.309380409081483,"score_spread":0.2840698009557947,"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."}}