{"id":"W4399104354","doi":"10.1525/luminos.190.j","title":"Uncovering Online Discrimination When Faced with Legal Uncertainty and Corporate Power","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Privy Council Office","funders":"","keywords":"Power (physics); Business; Computer science; Physics","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":[0.004161827,0.000224938,0.0003714171,0.00137755,0.003311899,0.007292612,0.0009241707,0.002860674,0.01408747],"category_scores_gemma":[0.02373556,0.0002210403,0.0001729085,0.002436618,0.00716149,0.01127486,0.004462305,0.00525553,0.001448312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001770749,"about_ca_system_score_gemma":0.002154532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003486466,"about_ca_topic_score_gemma":0.00859961,"domain_scores_codex":[0.9974653,0.001091221,0.00006012326,0.0002365195,0.000649153,0.0004977611],"domain_scores_gemma":[0.983878,0.01219285,0.001570318,0.001101927,0.0006071767,0.0006496394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006374913,0.0002405977,0.03275678,0.0001069499,0.00001624385,0.001111902,0.04632091,0.0004629867,0.0004736397,0.7090493,0.05611535,0.1532816],"study_design_scores_gemma":[0.00001808571,0.00005321441,0.01828871,0.0005646733,0.00001736412,0.0008012599,0.08434673,0.003560166,0.0008323746,0.7570873,0.1343879,0.00004220146],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2388101,0.002970569,0.01966745,0.05540552,0.0003565972,0.00007684035,0.000386072,0.00009085464,0.6822361],"genre_scores_gemma":[0.9602246,0.001368734,0.004776394,0.004422022,0.0001579931,0.000089839,0.0001723441,0.00005708854,0.02873108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01408747,"threshold_uncertainty_score":0.04712725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366805694022364,"score_gpt":0.2024219675047445,"score_spread":0.1787539105645209,"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."}}