{"id":"W4288060558","doi":"10.18357/kula.228","title":"Ethical Considerations of Including Personal Demographic Information in Open Knowledge Platforms","year":2022,"lang":"en","type":"article","venue":"KULA knowledge creation dissemination and preservation studies","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public relations; Sexual orientation; Cataloging; Ethnic group; Internet privacy; Sociology; World Wide Web; Political science; Computer science; Gender studies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.3515176,0.001135116,0.001620369,0.003990545,0.01330937,0.02087322,0.005943196,0.01764271,0.007636986],"category_scores_gemma":[0.4375218,0.002104155,0.001585513,0.003639436,0.03387468,0.0272784,0.02063461,0.02534023,0.004942688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005025873,"about_ca_system_score_gemma":0.02131083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003250286,"about_ca_topic_score_gemma":0.004900899,"domain_scores_codex":[0.5048819,0.3966177,0.01972075,0.01628697,0.0551307,0.007361988],"domain_scores_gemma":[0.3714285,0.4583107,0.02390175,0.087631,0.0415132,0.01721485],"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":[0.0005952213,0.0005031909,0.009529945,0.000841873,0.0001151071,0.003295776,0.2146155,0.0009904837,0.002225513,0.5121144,0.107579,0.147594],"study_design_scores_gemma":[0.0001400643,0.0003079601,0.002541169,0.00462757,0.00009820671,0.003325544,0.0535565,0.003081212,0.002646555,0.3012046,0.6281868,0.0002837778],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05688846,0.003786122,0.1395383,0.6292564,0.00890361,0.005865389,0.0008440024,0.000623422,0.1542944],"genre_scores_gemma":[0.4851484,0.003395131,0.1411623,0.2974945,0.006034499,0.01716203,0.0006734136,0.000604369,0.04832544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9940568,"threshold_uncertainty_score":0.7996942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1153511636490012,"score_gpt":0.4678022021330678,"score_spread":0.3524510384840666,"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."}}