{"id":"W4280545515","doi":"10.1080/21604851.2022.2075141","title":"No filter and other lies","year":2022,"lang":"en","type":"article","venue":"Fat Studies","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Metropolitan area; Filter (signal processing); Image (mathematics); Sociology; Media studies; Popular culture; Computer vision; Computer science; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006891214,0.001353409,0.001042858,0.002077773,0.001800739,0.003592354,0.001209615,0.001729631,0.8228408],"category_scores_gemma":[0.005794808,0.0006200511,0.0008737964,0.001181176,0.0003453408,0.004459116,0.002962881,0.001451245,0.6323692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006660761,"about_ca_system_score_gemma":0.001034962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00273255,"about_ca_topic_score_gemma":0.006114914,"domain_scores_codex":[0.9993989,0.00003966884,0.00002675084,0.00009638882,0.0002895342,0.0001486717],"domain_scores_gemma":[0.9965371,0.0005065402,0.00009816785,0.0007334074,0.001518486,0.0006063484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001302758,0.00004319068,0.0002182302,0.0001605792,0.00000457514,0.0000585034,0.00009465271,0.00003344929,0.0009820375,0.002179645,0.9241937,0.07190113],"study_design_scores_gemma":[0.00002962913,0.00002058342,0.000678765,0.00013392,0.000006394526,0.0000967134,0.0001730316,0.0001855657,0.001540383,0.001493445,0.9956214,0.00002018923],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003002232,0.0007444778,0.01715156,0.003491602,0.006344661,0.0005128401,0.01194289,0.0374237,0.919386],"genre_scores_gemma":[0.01383624,0.0005826011,0.0172442,0.002597414,0.00100598,0.0003746015,0.008910421,0.02353379,0.9319147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8228408,"threshold_uncertainty_score":0.2526962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09654924229648307,"score_gpt":0.3571283019351824,"score_spread":0.2605790596386993,"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."}}