{"id":"W2056811204","doi":"10.1002/pamm.200700535","title":"Convex separable minimization with box constraints","year":2007,"lang":"en","type":"article","venue":"PAMM","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Separable space; Mathematics; Mathematical optimization; Regular polygon; Convex analysis; Convergence (economics); Minification; Convex function; Constraint (computer-aided design); Linear matrix inequality; Convex optimization; Function (biology); Proper convex function; Economics","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":[0.00009110574,0.00006859557,0.00006807314,0.00004355342,0.0000289359,0.00002130942,0.00003588331,0.0000413873,0.0004437916],"category_scores_gemma":[0.000006590838,0.00006325346,0.00001066829,0.000132259,0.0000341566,0.00005759001,0.000003122644,0.00005326407,0.00008802675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001587114,"about_ca_system_score_gemma":0.00000869434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002281779,"about_ca_topic_score_gemma":0.000009431007,"domain_scores_codex":[0.9996021,0.000004396032,0.00009934161,0.00007041495,0.00007333762,0.0001503848],"domain_scores_gemma":[0.9997998,0.00002388792,0.00001483208,0.00007962897,0.00003006353,0.00005179661],"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":[0.00003317869,0.00004173616,0.0114534,0.0001358531,0.00008902392,0.00002792157,0.001387349,0.9470784,0.001109692,0.003643421,0.009614061,0.02538595],"study_design_scores_gemma":[0.00438968,0.000218813,0.00819232,0.0003009663,0.00008590776,0.000144836,0.0007129282,0.6282963,0.05339751,0.0004562705,0.3021555,0.001648924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01340757,0.0001188031,0.7275085,0.00004974699,0.0002936156,0.0001631749,0.000005214842,0.000538976,0.2579144],"genre_scores_gemma":[0.9872779,0.00002405194,0.0117629,0.00009044691,0.00003391788,0.000002618975,0.0000206796,0.00002053619,0.000767003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9738703,"threshold_uncertainty_score":0.4859207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007464599209002998,"score_gpt":0.206008145766781,"score_spread":0.198543546557778,"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."}}