{"id":"W4404854530","doi":"10.1080/09589236.2024.2433683","title":"The unsolicited algorithm: unveiling gendered harms and (non)consent in apple iOS features","year":2024,"lang":"en","type":"article","venue":"Journal of Gender Studies","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Informed consent; Algorithm; Psychology; Internet privacy; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001650277,0.0001404177,0.0002848744,0.0001635767,0.0005141556,0.0001601958,0.0001883282,0.0000741334,0.000004421212],"category_scores_gemma":[0.000295019,0.00008716621,0.0001060377,0.000308328,0.0003136617,0.0001267574,0.00007120537,0.0003658891,0.000003428401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001185758,"about_ca_system_score_gemma":0.0004136872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009290528,"about_ca_topic_score_gemma":0.0006891707,"domain_scores_codex":[0.9984442,0.0001615675,0.0003930446,0.0001617438,0.0004697955,0.0003696613],"domain_scores_gemma":[0.9987682,0.0007349706,0.0001263095,0.00008552476,0.0001617405,0.000123294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004483368,0.00006722433,0.002833627,0.0001417632,0.001010515,0.0003250653,0.8377703,0.00003166861,0.0004144869,0.001264506,0.07318778,0.08290822],"study_design_scores_gemma":[0.0005942786,0.00007980492,0.01071088,0.0001489861,0.0001166215,0.00008528821,0.8951283,0.00009702955,0.0002527373,0.005483187,0.08709493,0.0002079482],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5133335,0.4364794,0.001626644,0.02471168,0.01047641,0.0008775839,0.00002256609,0.0001032485,0.01236895],"genre_scores_gemma":[0.9467939,0.05011786,0.0005231973,0.0002229648,0.0009349951,0.000007843296,4.120734e-7,0.00001265516,0.001386129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4334604,"threshold_uncertainty_score":0.3954521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08692855255990459,"score_gpt":0.3838587770611174,"score_spread":0.2969302245012128,"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."}}