{"id":"W3173843227","doi":"10.1177/10778012211021125","title":"Hijab Pornography: A Content Analysis of Internet Pornographic Videos","year":2021,"lang":"en","type":"article","venue":"Violence Against Women","topic":"Sexuality, Behavior, and Technology","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Pornography; Objectification; Agency (philosophy); Content analysis; Poison control; Aggression; Psychology; Human factors and ergonomics; Suicide prevention; The Internet; Injury prevention; Social psychology; Internet privacy; Medicine; Medical emergency; Sociology; Computer science; Political science; World Wide Web","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004332599,0.0002632966,0.0007601833,0.001373882,0.00004562944,0.00002182348,0.0005219716,0.0002783815,0.00145446],"category_scores_gemma":[0.00005819867,0.0002601371,0.0004003744,0.0037548,0.0003870681,0.00007536825,0.000161426,0.0002939354,0.00005336707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006196135,"about_ca_system_score_gemma":0.0000498703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004887939,"about_ca_topic_score_gemma":0.0001713839,"domain_scores_codex":[0.9974363,0.000213499,0.0007143446,0.0007102925,0.0002791021,0.0006464861],"domain_scores_gemma":[0.9980354,0.00009696332,0.0003104212,0.001153568,0.0002440393,0.0001596608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000981264,0.001031474,0.896306,0.00002467632,0.004065921,0.000344485,0.005506949,0.000004932759,0.00838009,0.01243216,0.0002476253,0.0715576],"study_design_scores_gemma":[0.001863862,0.0005679503,0.9467465,0.0001765593,0.001231861,0.00002997696,0.03443058,0.0001014524,0.005227622,0.001357297,0.007505811,0.0007605486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929194,0.001615812,0.0001579299,0.0001175069,0.0004672073,0.0001776577,0.00008152419,0.0001898401,0.004273148],"genre_scores_gemma":[0.9972124,0.0002468348,0.00009242267,0.0007670617,0.0000291956,0.0001743032,0.0001123564,0.00002397355,0.00134143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07079706,"threshold_uncertainty_score":0.9999851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04576689725194251,"score_gpt":0.3164214351123173,"score_spread":0.2706545378603748,"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."}}