{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000218729,0.00003702758,0.00007735981,0.00001332526,0.001717707,0.0000108865,0.0001015777,0.000006958755,0.0002534028],"category_scores_gemma":[0.0001369728,0.00003166433,0.00001481403,0.00006478412,0.0002019618,0.00002543163,0.0003768422,0.00005215479,0.00002155552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002912615,"about_ca_system_score_gemma":0.000006852262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004627582,"about_ca_topic_score_gemma":0.0008052653,"domain_scores_codex":[0.9995211,0.0001094241,0.00005582241,0.00007157743,0.0001403221,0.0001017904],"domain_scores_gemma":[0.9996936,0.0001419192,0.00002469415,0.00009004657,0.00003472119,0.00001504675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002272803,0.00006455833,0.04503267,0.00002466921,0.0002511427,0.000001865524,0.4183099,0.000002590122,0.00004173816,0.1178579,0.4044038,0.01398643],"study_design_scores_gemma":[0.00005191634,0.0000213924,0.0008024348,0.000002368143,0.000005421115,7.646596e-8,0.07944725,0.000001615162,0.000001959542,0.001037172,0.9185882,0.00004023251],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1820987,0.0654483,0.000005189748,0.04595987,0.002032652,0.0004726833,0.00003057159,0.0001686188,0.7037834],"genre_scores_gemma":[0.966571,0.007243871,0.0001653527,0.001982593,0.000298326,0.0001975121,8.567462e-7,0.000006035852,0.02353449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7844722,"threshold_uncertainty_score":0.9995819,"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."}}