{"id":"W2399994135","doi":"10.1080/03155986.2006.11732744","title":"Gender-Specific Genetic Algorithms<sup>*</sup>","year":2006,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Algorithm; Computer science","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":[0.002239788,0.0007903158,0.0005652137,0.0006515793,0.0004538229,0.000728904,0.001193957,0.0009096443,0.003020517],"category_scores_gemma":[0.005780948,0.0002097599,0.0008385518,0.0007617435,0.0006417334,0.0008813068,0.0008195837,0.0006559845,0.0006036035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006838086,"about_ca_system_score_gemma":0.001042672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001770822,"about_ca_topic_score_gemma":0.002666839,"domain_scores_codex":[0.9988317,0.0006384805,0.00005108514,0.0001604207,0.000221719,0.00009658736],"domain_scores_gemma":[0.998137,0.0009093554,0.0002207627,0.0002436714,0.000422403,0.00006682997],"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":[0.0001270702,0.0001485672,0.006882345,0.0001115941,0.0001560691,0.0002011584,0.0002279879,0.6322092,0.004930265,0.07212354,0.004466061,0.2784161],"study_design_scores_gemma":[0.00004376586,0.0001863408,0.001517148,0.00005164439,0.00008219478,0.0002643652,0.00009229164,0.9346653,0.003725334,0.04895282,0.01038999,0.00002884868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03733265,0.0003104254,0.9525666,0.0003738785,0.0001725401,0.0001250564,0.00009923428,0.000343942,0.008675747],"genre_scores_gemma":[0.4515262,0.0003569718,0.5411273,0.0006003981,0.0001033984,0.0002166877,0.0003594915,0.0001268004,0.005582764],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003020517,"threshold_uncertainty_score":0.01184529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06962427366799345,"score_gpt":0.326702144233142,"score_spread":0.2570778705651485,"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."}}