{"id":"W2594754650","doi":"","title":"OrthoMADS: A Deterministic MADS Instance with Orthogonal Directions","year":2008,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Polling; Convergence (economics); Mathematics; Mathematical optimization; Computer science; Regular polygon; Class (philosophy); Measure (data warehouse); Algorithm; Artificial intelligence; Data mining","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003319804,0.0003004291,0.0002907783,0.0004170345,0.0006716015,0.0002206677,0.0009052734,0.000146591,0.00003548429],"category_scores_gemma":[0.0001038577,0.0002698707,0.0001057093,0.00133839,0.0001917703,0.000802629,0.0002450728,0.0003960097,0.0000355061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002113259,"about_ca_system_score_gemma":0.0006215604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005156713,"about_ca_topic_score_gemma":0.001621721,"domain_scores_codex":[0.9976106,0.0001424043,0.0003875736,0.0005929792,0.0005446117,0.0007217994],"domain_scores_gemma":[0.9980957,0.0001110284,0.0001644809,0.001001258,0.0002228734,0.0004046546],"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":[0.0002836817,0.001785133,0.2270319,0.0001175187,0.0002268035,0.002638591,0.003332688,0.04055612,0.002447451,0.6127833,0.007405066,0.1013918],"study_design_scores_gemma":[0.001334228,0.0006804722,0.09761328,0.0001042352,0.00002094966,0.003054566,0.00004645792,0.8699847,0.001523484,0.002379911,0.02218801,0.001069704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0257901,0.0003183645,0.9662784,0.00193338,0.00009420237,0.000522723,0.00001333338,0.001303099,0.003746392],"genre_scores_gemma":[0.6319796,0.0003122559,0.3635174,0.0014513,0.00005018424,0.0003977453,0.000009338522,0.00003685407,0.002245345],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8294286,"threshold_uncertainty_score":0.9999753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469617139601651,"score_gpt":0.229257016131492,"score_spread":0.2145608447354755,"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."}}