{"id":"W2366166569","doi":"","title":"Projective Genetic Algorithm","year":2000,"lang":"en","type":"article","venue":"Huadong Li-Gong Daxue xuebao","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Projective test; Genetic algorithm; Computer science; Genetic representation; Meta-optimization; Algorithm; Mathematical optimization; Mathematics; Pure mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006818677,0.0007535642,0.0008403935,0.000859409,0.0007044765,0.00120352,0.001303984,0.001022611,0.00575747],"category_scores_gemma":[0.002076762,0.0003256341,0.0008089018,0.001284563,0.0006901997,0.001063977,0.001115207,0.0009373231,0.001517416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006631271,"about_ca_system_score_gemma":0.001113477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002917722,"about_ca_topic_score_gemma":0.001706406,"domain_scores_codex":[0.9994357,0.0001748329,0.00002359139,0.0001136176,0.0001933497,0.00005889617],"domain_scores_gemma":[0.9996499,0.0001203089,0.00003875233,0.00005701767,0.000115106,0.00001894748],"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":[0.00008899624,0.00007120405,0.001394033,0.0002532891,0.0001767158,0.0002124204,0.0001611995,0.4470632,0.007638381,0.1833676,0.01031952,0.3492535],"study_design_scores_gemma":[0.0000491729,0.0001309793,0.0004866124,0.00003323412,0.00007174841,0.0002838776,0.00003011406,0.9346556,0.003207891,0.03330476,0.02771396,0.00003209506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006218445,0.0006154813,0.9769763,0.0001963731,0.0001097677,0.00008069725,0.00008027792,0.0008893234,0.01483336],"genre_scores_gemma":[0.3539503,0.001860863,0.6227201,0.0004844754,0.000152341,0.0005287136,0.0005144437,0.0002850744,0.0195037],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00575747,"threshold_uncertainty_score":0.0192607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239832406851907,"score_gpt":0.2545149076565105,"score_spread":0.2421165835879915,"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."}}