{"id":"W4251102484","doi":"10.23952/jano.3.2021.1.03","title":"Data-compatibility of algorithms for constrained convex optimization","year":2021,"lang":"en","type":"article","venue":"Journal of Applied and Numerical Optimization","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Israel Science Foundation; National Natural Science Foundation of China","keywords":"Compatibility (geochemistry); Algorithm; Regular polygon; Mathematical optimization; Computer science; Convex optimization; Mathematics; Materials science; Geometry; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009927655,0.001150855,0.001355168,0.001812751,0.0008485556,0.002690978,0.00246233,0.001804685,0.002566857],"category_scores_gemma":[0.03556981,0.0007378043,0.001335641,0.001700743,0.003185515,0.004435454,0.006459828,0.003625471,0.0007709413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412172,"about_ca_system_score_gemma":0.001514686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000618281,"about_ca_topic_score_gemma":0.000346439,"domain_scores_codex":[0.9934756,0.003175694,0.0004678209,0.0007615999,0.001960978,0.0001583313],"domain_scores_gemma":[0.9856907,0.009601676,0.0008287133,0.001610453,0.001885592,0.0003828945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000193694,0.00007576201,0.0009479102,0.0002647473,0.00007710525,0.00009663476,0.0002944903,0.1762688,0.003646122,0.7480101,0.00109016,0.06903437],"study_design_scores_gemma":[0.0000244556,0.0001266299,0.0001454467,0.00006096942,0.00001292135,0.00006643355,0.0000347376,0.7746941,0.003347503,0.2174904,0.003973066,0.0000233528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003341209,0.0001265011,0.9949321,0.0001304005,0.00002488106,0.00003199431,0.00002117181,0.00005874125,0.00133296],"genre_scores_gemma":[0.2292203,0.0004897455,0.7656747,0.000285689,0.0001812691,0.0005630191,0.0003092798,0.0003338853,0.002942197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009927655,"threshold_uncertainty_score":0.05250311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09222090177705922,"score_gpt":0.3793088991012824,"score_spread":0.2870879973242232,"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."}}