{"id":"W4247884247","doi":"10.23952/jano.1.2019.3.01","title":"A special issue dedicated to Christiane Tammer","year":2019,"lang":"en","type":"article","venue":"Journal of Applied and Numerical Optimization","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001541269,0.00009027663,0.0002193146,0.0001933546,0.00004967267,0.0001128444,0.0002267805,0.00004884027,0.0006874321],"category_scores_gemma":[0.00002856675,0.00007340963,0.0000491548,0.0006128884,0.000009704752,0.0002601492,0.00006095657,0.0001048159,0.00008977507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002638364,"about_ca_system_score_gemma":0.00005010569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002812325,"about_ca_topic_score_gemma":8.675097e-8,"domain_scores_codex":[0.9990486,0.00001921988,0.0003488849,0.000160194,0.0003092443,0.0001138839],"domain_scores_gemma":[0.9992424,0.00004218299,0.0002427985,0.000110711,0.0001893235,0.0001726185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007321914,0.00008130423,0.0001362815,0.000005041039,0.0000415977,0.00000241178,0.0002706872,0.9679717,0.0001510836,0.01156081,0.008667862,0.01103801],"study_design_scores_gemma":[0.0007522447,0.0001830269,0.0006812206,0.00001085729,0.000029411,0.00001797435,0.00004349254,0.9410488,0.0001482497,0.0003926357,0.05652123,0.0001708825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003814464,0.00001089267,0.9877159,0.003914264,0.0003204352,0.00009058681,6.625805e-7,0.00001521613,0.007550588],"genre_scores_gemma":[0.2043386,0.00008388596,0.7889109,0.003427575,0.002709779,0.000003309235,0.000009174419,0.00001521842,0.0005015414],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2039572,"threshold_uncertainty_score":0.7526899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004380773534918199,"score_gpt":0.2113489331507751,"score_spread":0.2069681596158569,"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."}}