{"id":"W4310263624","doi":"10.1080/14680777.2022.2149598","title":"AI, Big Data, and surveillance zines as forms of community healthcare","year":2022,"lang":"en","type":"article","venue":"Feminist Media Studies","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Public relations; The Internet; Sociology; Big data; Political science; Vetting; Media studies; Internet privacy; Law; World Wide Web; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003624392,0.00008927955,0.0003068983,0.0000382198,0.003198239,0.00003748604,0.0005167482,0.00005077538,0.00001323712],"category_scores_gemma":[0.005357255,0.00008099529,0.00002662283,0.0002370529,0.001194865,0.000113176,0.001028896,0.0004961164,0.000001410342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006011113,"about_ca_system_score_gemma":0.0003116443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008756568,"about_ca_topic_score_gemma":0.0574514,"domain_scores_codex":[0.9982724,0.0006271026,0.0002152208,0.0001218759,0.0005177546,0.0002456211],"domain_scores_gemma":[0.9972024,0.001942168,0.0001426589,0.000332924,0.0002776167,0.0001022597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003703273,0.0001126246,0.06364016,0.0001526985,0.0001237346,0.000005458408,0.8462291,2.961106e-7,0.000009097162,0.04824977,0.02670489,0.01473514],"study_design_scores_gemma":[0.0002211343,0.0001997301,0.01275093,0.00001748761,0.00001039974,0.000001113804,0.7407835,8.493139e-7,0.000006525209,0.05769242,0.1881716,0.0001443564],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8467394,0.009941841,8.497763e-7,0.1221984,0.001833272,0.0002664866,0.0008409124,0.00005982336,0.01811899],"genre_scores_gemma":[0.9918798,0.004652963,0.00001740244,0.002951329,0.0002525411,0.00001499452,0.00004207925,0.00000746474,0.0001814704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1614667,"threshold_uncertainty_score":0.9980994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2421875639225185,"score_gpt":0.455517196611628,"score_spread":0.2133296326891095,"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."}}