{"id":"W4401286329","doi":"10.23952/asvao.6.2024.3.06","title":"Penalty method for set-valued quasi-equilibrium problems","year":2024,"lang":"en","type":"article","venue":"Applied Set-Valued Analysis and Optimization","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Set (abstract data type); Mathematical economics; Mathematical optimization; Mathematics; Computer science; Applied mathematics; Programming language","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":[0.001391744,0.0007811814,0.0008459094,0.000632008,0.0003965642,0.0009080418,0.0009585087,0.0008627817,0.002448718],"category_scores_gemma":[0.00230187,0.0003307018,0.0005799234,0.0004107191,0.0009966989,0.001235304,0.00141826,0.001339786,0.0003615466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007271265,"about_ca_system_score_gemma":0.0008794407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001264336,"about_ca_topic_score_gemma":0.001037529,"domain_scores_codex":[0.9993862,0.0003011548,0.00002384768,0.00006474236,0.0001757493,0.00004839263],"domain_scores_gemma":[0.999246,0.0004314995,0.00006524628,0.00004106226,0.0001542883,0.0000619149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000113963,0.00007125721,0.000421761,0.0003948427,0.00008249034,0.0001726495,0.0001556107,0.4234999,0.0120471,0.5291263,0.00190698,0.03200725],"study_design_scores_gemma":[0.000010783,0.00003360207,0.00005600118,0.00001478799,0.000004944568,0.000025823,0.0000115346,0.9573911,0.0005659469,0.03991598,0.001961701,0.000007816601],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006907545,0.0002826627,0.9897237,0.0002265197,0.00004762986,0.00003060365,0.00002674088,0.0000320554,0.002722506],"genre_scores_gemma":[0.5420441,0.0009790254,0.4351076,0.0002584453,0.0001298858,0.0005690547,0.0002120365,0.0001842412,0.0205156],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002448718,"threshold_uncertainty_score":0.008191764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037041859939973,"score_gpt":0.2889972226999047,"score_spread":0.268626804100505,"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."}}