{"id":"W4285090338","doi":"10.1073/pnas.2204529119","title":"Propagation of societal gender inequality by internet search algorithms","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Evolutionary Psychology and Human Behavior","field":"Psychology","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; York University","keywords":"Inequality; The Internet; Gender inequality; Multinational corporation; Artificial intelligence; Algorithm; Computer science; Machine learning; Economics; Mathematics; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003376242,0.0002474255,0.0002340108,0.0006604632,0.0004717591,0.001542621,0.0002515415,0.0004258773,0.003226211],"category_scores_gemma":[0.03752238,0.0001715485,0.0002282319,0.000436157,0.001074594,0.001062221,0.001174292,0.0008089662,0.0002530196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004415614,"about_ca_system_score_gemma":0.0003329498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00220653,"about_ca_topic_score_gemma":0.002321469,"domain_scores_codex":[0.9985935,0.0007719784,0.00006324134,0.0002145966,0.0002449401,0.0001116677],"domain_scores_gemma":[0.9820554,0.01305445,0.002293615,0.001310704,0.0007793551,0.0005064841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006127998,0.0003585652,0.9001311,0.00006836501,0.0001337103,0.0002451371,0.007595514,0.00577895,0.007200406,0.01013947,0.0009452347,0.0667907],"study_design_scores_gemma":[0.00005191665,0.0003487958,0.9264948,0.00005691047,0.00007653592,0.0003432743,0.004114811,0.04419277,0.003824267,0.01858678,0.001856182,0.00005305008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937403,0.0000515702,0.001695245,0.0002465876,0.000005941943,0.00001122743,0.00004634155,0.00001152338,0.004191228],"genre_scores_gemma":[0.9992349,0.00001805243,0.0004916867,0.0000297162,0.00000423303,0.000005909312,0.00003285838,0.000006842982,0.0001757541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003376242,"threshold_uncertainty_score":0.01785553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1442393669597084,"score_gpt":0.4098996870061599,"score_spread":0.2656603200464515,"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."}}