{"id":"W4399616546","doi":"10.23977/acss.2024.080317","title":"Personalised Dormitory Roommate Matching System Based on Multiple Swarm Genetic Algorithms","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Genetic algorithm; Computer science; Swarm behaviour; Algorithm; Artificial intelligence; Machine learning; Mathematics; Statistics","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":[0.0004930954,0.0004448362,0.0007963861,0.0005922794,0.000452398,0.0007381137,0.001297646,0.0005660359,0.004627912],"category_scores_gemma":[0.0008847985,0.0002562504,0.0006219685,0.0005364147,0.0002203539,0.0007353952,0.001042094,0.000442455,0.001163385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004263617,"about_ca_system_score_gemma":0.0005537535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002919481,"about_ca_topic_score_gemma":0.002497765,"domain_scores_codex":[0.9995436,0.00008901661,0.00002355679,0.0001751679,0.0001063436,0.00006233943],"domain_scores_gemma":[0.9997557,0.00005063186,0.00002910292,0.00005018809,0.00006224291,0.00005217073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008871355,0.0007127461,0.009172576,0.0002288158,0.0001961088,0.0003470789,0.0005469107,0.197738,0.05154587,0.006702242,0.0115686,0.7203539],"study_design_scores_gemma":[0.00008826316,0.0001771372,0.003345876,0.00001436147,0.00006192933,0.0001944856,0.0001397349,0.9687733,0.01358446,0.003178361,0.01039575,0.00004636863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07120197,0.0001658184,0.9175235,0.0001122917,0.00008660235,0.0001549169,0.0001622138,0.00574373,0.004849012],"genre_scores_gemma":[0.6165957,0.0001454,0.3713979,0.0001824734,0.00004854974,0.0003137397,0.000608433,0.000242169,0.01046559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004627912,"threshold_uncertainty_score":0.01548189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00888690336639973,"score_gpt":0.2329798587817355,"score_spread":0.2240929554153358,"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."}}