{"id":"W4247609202","doi":"10.2139/ssrn.3154518","title":"Antidiscriminatory Privacy","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Business Law and Ethics","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Internet privacy; Computer science","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":[0.01034228,0.0004191677,0.0006857952,0.001499369,0.003820725,0.01054636,0.001604751,0.008673948,0.01280641],"category_scores_gemma":[0.04086999,0.0006481966,0.0005939521,0.001309089,0.009498455,0.006245546,0.003962157,0.008683851,0.003640692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002080873,"about_ca_system_score_gemma":0.003107277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007665206,"about_ca_topic_score_gemma":0.0008961384,"domain_scores_codex":[0.9857658,0.005380355,0.0007688159,0.001993693,0.004886954,0.001204327],"domain_scores_gemma":[0.9588557,0.02288263,0.00203034,0.01183454,0.003767839,0.0006288667],"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":[0.00002079267,0.00002413413,0.000349675,0.00003763959,0.00001062591,0.00006832813,0.0007613617,0.00008279088,0.0003547608,0.979423,0.007007471,0.01185943],"study_design_scores_gemma":[0.00002273162,0.00004052756,0.0007895362,0.0001739604,0.00004764614,0.0005378308,0.000562911,0.001232549,0.004011911,0.7905214,0.2020354,0.0000236704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02543226,0.002651978,0.0278009,0.04269189,0.0008872502,0.00009435448,0.0002355311,0.0001144246,0.9000914],"genre_scores_gemma":[0.8356807,0.001353338,0.006216541,0.01645431,0.001038071,0.0001204404,0.0000988038,0.00007805409,0.1389597],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01280641,"threshold_uncertainty_score":0.05469579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819070866986972,"score_gpt":0.2432623206508206,"score_spread":0.2250716119809509,"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."}}