{"id":"W4385644730","doi":"10.1007/s11228-023-00683-2","title":"Relaxed Constant Positive Linear Dependence Constraint Qualification for Disjunctive Systems","year":2023,"lang":"en","type":"article","venue":"Set-Valued and Variational Analysis","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Constraint (computer-aided design); Piecewise; Mathematics; Constant (computer programming); Upper and lower bounds; Piecewise linear function; Mathematical optimization; Set (abstract data type); Regular polygon; Property (philosophy); Computer science; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001085327,0.0001886237,0.0003664544,0.0006784022,0.0004526249,0.0002447781,0.0002862312,0.0001018098,0.00003489067],"category_scores_gemma":[0.0003192112,0.000169564,0.0002381411,0.003282738,0.00006728192,0.0004310893,0.00008764363,0.00008713309,0.00004422408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007690096,"about_ca_system_score_gemma":0.0001574251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001394426,"about_ca_topic_score_gemma":0.00001880286,"domain_scores_codex":[0.9978511,0.0002169734,0.0005157129,0.0006316841,0.000535068,0.000249484],"domain_scores_gemma":[0.9977391,0.0007478229,0.0003161575,0.0002916555,0.0007664212,0.00013888],"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":[0.00001870045,0.00003898919,0.001335693,0.00001029899,0.001298127,0.000001619131,0.0006156241,0.1025476,0.00009598416,0.8935953,0.000178056,0.0002639951],"study_design_scores_gemma":[0.000429337,0.00003473271,0.01731539,0.000009532651,0.0006389495,0.000002925619,0.0003303189,0.9714462,0.00001729272,0.009423914,0.000130948,0.0002204426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001355741,0.00005218419,0.9945249,0.002582601,0.0001513361,0.0003164454,0.0004551492,0.0001687215,0.0003929117],"genre_scores_gemma":[0.9547197,0.00005648355,0.04192261,0.0002789913,0.0001186647,0.0001297332,0.001808432,0.00001127869,0.0009540898],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.953364,"threshold_uncertainty_score":0.6914619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02938392475890697,"score_gpt":0.2904096471752086,"score_spread":0.2610257224163017,"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."}}