{"id":"W1971004571","doi":"10.1145/1555386.1555389","title":"pyMDO","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Mathematical Software","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Christian Studies; University of Toronto","funders":"","keywords":"Computer science; Python (programming language); Fortran; Interface (matter); Object-oriented programming; Programming language; Focus (optics); Computational science; Parallel computing","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":[0.001761506,0.001056299,0.001140647,0.001078401,0.0008921424,0.003119338,0.004416531,0.001528644,0.04536048],"category_scores_gemma":[0.006121623,0.0008904935,0.00203166,0.0009910747,0.0008313024,0.00331167,0.004607905,0.002504125,0.01536848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006212954,"about_ca_system_score_gemma":0.002254972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002237871,"about_ca_topic_score_gemma":0.00240136,"domain_scores_codex":[0.9990656,0.0001454239,0.00007181121,0.0001573292,0.000434828,0.0001250103],"domain_scores_gemma":[0.9985446,0.0004983018,0.0001118068,0.0003589866,0.0003324865,0.000153958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006048969,0.0002764326,0.004698863,0.002232031,0.0002979773,0.0007178491,0.000452026,0.08052342,0.009536799,0.1675277,0.3077748,0.4253572],"study_design_scores_gemma":[0.0002476529,0.00006639869,0.0008364108,0.0001944345,0.00005753577,0.0004591815,0.00005866978,0.2344772,0.009159595,0.07444057,0.6798925,0.0001097929],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002249737,0.0004012937,0.9113844,0.0005001275,0.0003858475,0.0002227454,0.004616993,0.06462039,0.01561853],"genre_scores_gemma":[0.04717357,0.001206363,0.8811992,0.0009459833,0.0002016386,0.001201742,0.01492115,0.03259748,0.02055304],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04536048,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763026921332817,"score_gpt":0.2744212030316215,"score_spread":0.2567909338182934,"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."}}