{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001690164,0.0002523382,0.0005105922,0.0001275763,0.0002715096,0.00003148985,0.0003447444,0.0006184636,0.0003008956],"category_scores_gemma":[0.0004610225,0.0002600868,0.000156497,0.00006736962,0.0004018832,0.0002393519,0.00005456955,0.0006534337,0.0002360914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001776,"about_ca_system_score_gemma":0.0006197036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005029476,"about_ca_topic_score_gemma":0.0007871251,"domain_scores_codex":[0.9974288,0.0002379233,0.0006324782,0.0003771911,0.0009403614,0.0003832788],"domain_scores_gemma":[0.9983304,0.0003661557,0.0003754077,0.0004132341,0.0002394513,0.0002753375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007920404,0.00002228494,0.000008822752,0.000178504,0.00002804855,0.000004782186,0.000583723,0.000001468722,0.000002434467,0.990419,0.007657464,0.001085554],"study_design_scores_gemma":[0.00007970664,0.00003988012,0.000006958619,0.0003559532,0.00006108843,0.000001360372,0.00008434719,0.000004066924,0.000002086013,0.07855924,0.9205436,0.0002617876],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000009258264,0.0008728681,0.0001523501,0.0004277241,0.001297999,0.0004152722,0.0008441689,0.0001106905,0.9958697],"genre_scores_gemma":[0.0124434,0.003333405,0.0001458234,0.0001604495,0.005201196,0.00001075285,0.0003757084,0.00003996037,0.9782893],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9128861,"threshold_uncertainty_score":0.9999852,"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."}}