{"id":"W4396860094","doi":"10.1007/978-3-031-49783-4_9","title":"Individual Fairness","year":2024,"lang":"ca","type":"book-chapter","venue":"Springer Actuarial","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Business","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0007819872,0.001535551,0.001563065,0.0006216692,0.0002136553,0.0005830966,0.001283997,0.001975901,0.008307967],"category_scores_gemma":[0.0004187128,0.001521593,0.0007683818,0.0001208893,0.0005081232,0.0003877773,0.001536755,0.002942736,0.007142514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004632994,"about_ca_system_score_gemma":0.0003306509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003980086,"about_ca_topic_score_gemma":0.00004147294,"domain_scores_codex":[0.9946756,0.00004128099,0.001428555,0.001479216,0.001367872,0.001007525],"domain_scores_gemma":[0.9963742,0.00074538,0.0006475262,0.001640085,0.0002546278,0.0003381908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009561836,0.00006514065,0.000002394253,0.0006883376,0.0007445681,0.000288167,0.0008762566,0.000001763288,0.0003407299,0.9843135,0.003309479,0.009274026],"study_design_scores_gemma":[0.0003827993,0.0002348726,0.000005884863,0.001428393,0.001104937,0.0000410328,0.00004797247,0.00002436812,0.00233387,0.7553291,0.2377501,0.001316579],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006744557,0.000975507,0.02630812,0.0004661595,0.01055104,0.002319761,0.0008150609,0.003138108,0.9547518],"genre_scores_gemma":[0.2928948,0.001301268,0.06182307,0.0004861478,0.02214939,0.0003759719,0.000457519,0.002362606,0.6181492],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3366026,"threshold_uncertainty_score":0.9997393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1282413065189555,"score_gpt":0.3662141904112268,"score_spread":0.2379728838922713,"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."}}