{"id":"W4251464530","doi":"10.32376/3f8575cb.87215e85","title":"“Do I Look Like My Selfie?”: Filters and the Digital-Forensic Gaze","year":2021,"lang":"en","type":"book-chapter","venue":"mediastudies.press eBooks","topic":"Law in Society and Culture","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; The King's University; Western University","funders":"Concordia University; King's University College","keywords":"Selfie; Gaze; Computer science; Computer graphics (images); Computer vision; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002900274,0.0002359573,0.000151165,0.002004638,0.004026882,0.005113028,0.0004187198,0.00148487,0.004645672],"category_scores_gemma":[0.01087356,0.0001841547,0.0001590342,0.0009264717,0.01137647,0.006749281,0.003264158,0.001306563,0.0004706602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002029583,"about_ca_system_score_gemma":0.0005960686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005139391,"about_ca_topic_score_gemma":0.007499928,"domain_scores_codex":[0.997672,0.001589947,0.00004906464,0.0002378414,0.0002835488,0.0001675861],"domain_scores_gemma":[0.9941903,0.004183241,0.0007059252,0.0003899914,0.0003225467,0.0002079779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008941796,0.00003622876,0.01382394,0.0001538053,0.00001747019,0.0007781429,0.8465343,0.00006546713,0.003685039,0.07828986,0.005113611,0.05141274],"study_design_scores_gemma":[0.00001221525,0.00006254001,0.02998774,0.0005562252,0.00002545129,0.001533161,0.7918493,0.0004672507,0.002672086,0.03402827,0.1387508,0.00005503348],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7266936,0.004009272,0.008768179,0.01443103,0.0001857479,0.00005321133,0.0001129568,0.000113527,0.2456325],"genre_scores_gemma":[0.991643,0.0005134172,0.0007374638,0.000624582,0.00003470989,0.00001548646,0.00001594832,0.0000325036,0.006382936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005139391,"threshold_uncertainty_score":0.01554132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03005848250835113,"score_gpt":0.251496709214656,"score_spread":0.2214382267063049,"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."}}