{"id":"W2166306467","doi":"10.1142/s0129626407003046","title":"HOW SOLUTION DENSITY AFFECTS THE FINDING OF SPATIALLY ROBUST SOLUTIONS","year":2007,"lang":"en","type":"article","venue":"Parallel Processing Letters","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Science Council","keywords":"Robustness (evolution); Mathematical optimization; Computer science; Parameter space; Mathematics; Algorithm; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0006680444,0.0001283936,0.0001229267,0.0000899185,0.0008235368,0.0001670209,0.000619471,0.00005068186,0.000001074936],"category_scores_gemma":[0.00004143236,0.0001027713,0.00007133455,0.0005150905,0.0001755865,0.000565901,0.0001644598,0.000173665,0.000005490202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006594215,"about_ca_system_score_gemma":0.00007035117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003401586,"about_ca_topic_score_gemma":0.00003941615,"domain_scores_codex":[0.9987817,0.00004265997,0.0001798014,0.0002941034,0.0003032218,0.0003985077],"domain_scores_gemma":[0.9991536,0.0001236678,0.0002142659,0.0003568192,0.00009082774,0.00006085557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005981654,0.0008841466,0.008976188,0.0004522819,0.0001760695,0.00005936202,0.007264017,0.135259,0.3966008,0.150739,0.02340974,0.2761196],"study_design_scores_gemma":[0.000833274,0.00008012259,0.1027759,0.0001724455,0.00005759676,0.000116983,0.0001676819,0.8811628,0.006771059,0.003810492,0.003321393,0.0007303403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02769846,0.0002229864,0.9417244,0.02977714,0.0001171655,0.0001782441,9.060051e-7,0.0001082224,0.0001725038],"genre_scores_gemma":[0.82932,0.000004952709,0.169896,0.0005739193,0.0001183512,0.00001466776,0.000003670183,0.000006822063,0.00006172068],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8016214,"threshold_uncertainty_score":0.6334063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03180162966349293,"score_gpt":0.244881691293984,"score_spread":0.2130800616304911,"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."}}