{"id":"W4381950363","doi":"10.51357/jdll.v3i1.218","title":"Deepfakes and Harm to Women","year":2023,"lang":"en","type":"article","venue":"Journal of Digital Life and Learning","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Harm; Autonomy; Reputation; Internet privacy; Criminology; Online community; Public relations; Psychology; Sociology; Political science; Social psychology; Social science; Law; 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":[0.001856203,0.0004394932,0.0002702827,0.00095569,0.007531621,0.004540142,0.0005446998,0.002260855,0.009003331],"category_scores_gemma":[0.007736907,0.000249359,0.0002822127,0.0006866489,0.01115168,0.005212363,0.007323704,0.001693046,0.0009398592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326006,"about_ca_system_score_gemma":0.001061746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00169819,"about_ca_topic_score_gemma":0.00222803,"domain_scores_codex":[0.9978529,0.001272391,0.00007294795,0.0001401075,0.0003120969,0.0003495356],"domain_scores_gemma":[0.9960468,0.002233023,0.0006501751,0.0004973866,0.0002358262,0.0003367355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001657519,0.0001154223,0.02579493,0.0004780972,0.00003891197,0.003660931,0.6971136,0.0002341415,0.002354053,0.143157,0.01451742,0.1123698],"study_design_scores_gemma":[0.00001343475,0.0002444161,0.01029091,0.001498311,0.00002955322,0.005989274,0.6209441,0.0002145006,0.002189869,0.03750683,0.321027,0.00005180982],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7825366,0.006333706,0.00480907,0.02329179,0.0004704604,0.00005346776,0.0001311316,0.0001094498,0.1822644],"genre_scores_gemma":[0.9814805,0.001393561,0.0004031465,0.001494491,0.00006893023,0.00002418493,0.0000198991,0.00002598745,0.0150892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009003331,"threshold_uncertainty_score":0.03011918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03345086603088979,"score_gpt":0.3057232077659567,"score_spread":0.2722723417350669,"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."}}