{"id":"W2026308324","doi":"10.1145/1143997.1144123","title":"Multiobjective evolutionary optimization for visual data mining with virtual reality spaces","year":2006,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Artificial intelligence; Classifier (UML); Machine learning; Knowledge extraction; Data mining; Pattern recognition (psychology)","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":[0.0005766025,0.0001403208,0.0001570043,0.0001614927,0.0002471935,0.0002614657,0.0008960876,0.00005552179,0.00006401793],"category_scores_gemma":[0.0002855807,0.0001156857,0.00002175101,0.0005812168,0.00008916392,0.00117921,0.0004501877,0.00007027319,0.000007450496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007279084,"about_ca_system_score_gemma":0.0002462777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002332104,"about_ca_topic_score_gemma":0.00005035462,"domain_scores_codex":[0.9981135,0.0001231267,0.0002536469,0.0006815931,0.0005297034,0.0002984768],"domain_scores_gemma":[0.9981514,0.0004083932,0.0001109377,0.0007543198,0.0004967029,0.00007823864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005515797,0.0002065567,0.0003764145,0.00001153791,0.00002833502,0.000004354519,0.00008137808,0.9638905,0.00001328017,0.0164913,0.009889392,0.008951793],"study_design_scores_gemma":[0.0006701613,0.0002358013,0.0008134747,0.00000754657,0.000007400488,0.000008402985,0.00008980019,0.9973503,0.0000837123,0.0001190396,0.0004488512,0.0001654755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002441218,0.00001938105,0.9961196,0.0006911715,0.0001030405,0.0004917602,0.00003851756,0.0001966613,0.002095801],"genre_scores_gemma":[0.04568043,0.000004532621,0.951978,0.00004937939,0.000133554,0.00004691692,0.0004205517,0.00001439121,0.001672299],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04543631,"threshold_uncertainty_score":0.4717524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04712464955400414,"score_gpt":0.33500727094467,"score_spread":0.2878826213906659,"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."}}