{"id":"W4396568207","doi":"10.23952/jnva.8.2024.4.04","title":"Subdifferential calculus and ideal solutions for set optimization problems","year":2024,"lang":"en","type":"article","venue":"Journal of Nonlinear and Variational Analysis","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Ministerul Cercetării, Inovării şi Digitalizării","keywords":"Subderivative; Ideal (ethics); Calculus (dental); Mathematics; Set (abstract data type); Mathematical optimization; Applied mathematics; Mathematical economics; Computer science; Philosophy; Epistemology; Regular polygon; Geometry; Medicine; Convex optimization","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":[0.003481397,0.0006719016,0.0007651402,0.001401541,0.001039881,0.001870374,0.0009561363,0.0007399786,0.002698035],"category_scores_gemma":[0.004002811,0.0003477713,0.001308292,0.0007227286,0.003195696,0.003406225,0.002203776,0.002900754,0.0003903989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001211214,"about_ca_system_score_gemma":0.0009094749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005725793,"about_ca_topic_score_gemma":0.0006244266,"domain_scores_codex":[0.9988226,0.0003901585,0.0000811906,0.0001696321,0.0004325297,0.0001038001],"domain_scores_gemma":[0.9989113,0.0004795406,0.0001059147,0.0001056083,0.0002552716,0.0001424824],"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":[0.000002198609,0.000005186022,0.00002879361,0.00001116871,0.000002360955,0.00001400508,0.00005687445,0.001581949,0.0003596761,0.9961495,0.0001608658,0.0016274],"study_design_scores_gemma":[0.000005144934,0.00001524311,0.00004686373,0.000009830987,0.000003308156,0.00003271144,0.00003654839,0.02628707,0.0005423059,0.970084,0.002930711,0.00000618467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02294254,0.0005624232,0.954057,0.0007320485,0.000129244,0.00004519092,0.000080852,0.00005712645,0.02139362],"genre_scores_gemma":[0.5275801,0.001271064,0.449067,0.0003386278,0.00032444,0.0002614064,0.0002279731,0.0001368211,0.02079264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003481397,"threshold_uncertainty_score":0.01841164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02337657879043771,"score_gpt":0.2738330498924152,"score_spread":0.2504564711019775,"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."}}