{"id":"W4233624778","doi":"10.1007/978-0-387-39940-9_2551","title":"Equality Selection","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Political Philosophy and Ethics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Selection (genetic algorithm); Computer science; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002596072,0.0005111066,0.0008321524,0.002603985,0.0032848,0.003801944,0.001575146,0.0008284844,0.3071581],"category_scores_gemma":[0.009600199,0.0003142174,0.0006981349,0.002566299,0.0008532937,0.00298178,0.003978678,0.001610558,0.09287804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264584,"about_ca_system_score_gemma":0.002636518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002179858,"about_ca_topic_score_gemma":0.004048141,"domain_scores_codex":[0.9962295,0.0007694953,0.0001631582,0.0007520589,0.001592502,0.0004933717],"domain_scores_gemma":[0.9966036,0.0009142936,0.0001164984,0.0007963423,0.00122603,0.0003431339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001487578,0.0001074468,0.001589412,0.0001881303,0.00001813071,0.0001188923,0.000460363,0.0002931069,0.001123136,0.2970557,0.2879541,0.4109429],"study_design_scores_gemma":[0.00002210907,0.0000393549,0.001641104,0.0001145043,0.0000153283,0.0002146088,0.0004920775,0.0006494729,0.002572914,0.06653707,0.9276809,0.00002050645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005574527,0.0005568877,0.03996526,0.001913141,0.001145864,0.0004177886,0.003419911,0.0009198528,0.9460868],"genre_scores_gemma":[0.0962979,0.0006782708,0.03643494,0.00204034,0.0006178041,0.0005395036,0.007875222,0.001393016,0.8541229],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3071581,"threshold_uncertainty_score":0.988255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06331215783760907,"score_gpt":0.3326504848331668,"score_spread":0.2693383269955578,"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."}}