{"id":"W2020451939","doi":"10.1145/2185520.2185553","title":"Fit and diverse","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Crossover; Set (abstract data type); Population; Computer science; Diversity (politics); Fitness landscape; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001302958,0.0007500717,0.00081431,0.001089143,0.001273768,0.002243633,0.001524987,0.001667566,0.006170623],"category_scores_gemma":[0.007782848,0.0004539609,0.00108066,0.000700047,0.001649925,0.002905926,0.003875761,0.001801163,0.001341992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006318399,"about_ca_system_score_gemma":0.0005364267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005630543,"about_ca_topic_score_gemma":0.0007060879,"domain_scores_codex":[0.9983182,0.0003753916,0.00007892805,0.0003862315,0.000676654,0.0001646089],"domain_scores_gemma":[0.9975463,0.0009056543,0.0001800623,0.0007613011,0.0003701748,0.0002364963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002894956,0.0003161234,0.01279447,0.0003668574,0.0003169208,0.001563019,0.002150251,0.2119707,0.07122441,0.3867188,0.01093242,0.3013566],"study_design_scores_gemma":[0.00009377875,0.0007170322,0.004547941,0.0001417664,0.0001940604,0.004897629,0.0006760065,0.5034305,0.02430449,0.3781948,0.08260645,0.0001954679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.156537,0.0009367308,0.7934935,0.001415676,0.0002612971,0.0001319307,0.000259593,0.001015451,0.0459489],"genre_scores_gemma":[0.803166,0.0005700094,0.1788089,0.001022274,0.00009892863,0.0002542766,0.0005707408,0.0005384886,0.01497051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006170623,"threshold_uncertainty_score":0.02064282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03268224356594958,"score_gpt":0.2377341601293617,"score_spread":0.2050519165634122,"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."}}