{"id":"W2901775341","doi":"10.1177/0894439318810734","title":"Big Data Ethics and Politics: Toward New Understandings","year":2018,"lang":"en","type":"article","venue":"Social Science Computer Review","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Big data; Scrutiny; Politics; Social media; Public relations; Sociology; Political science; Internet privacy; Media studies; Law; Computer science","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.005678735,0.0001118522,0.0002158435,0.00006523522,0.003319638,0.0004209554,0.001952558,0.0001051603,0.00004656554],"category_scores_gemma":[0.001674974,0.0001042139,0.00003421027,0.001025809,0.003311331,0.0009427675,0.001714328,0.0003292937,0.00005507075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001887568,"about_ca_system_score_gemma":0.001412991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002892174,"about_ca_topic_score_gemma":0.0005406577,"domain_scores_codex":[0.9976643,0.0003168943,0.0002138596,0.000534864,0.0007801941,0.0004898282],"domain_scores_gemma":[0.9988192,0.0001113202,0.0001154617,0.0004615846,0.0001981792,0.0002942156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001970698,0.0000259791,0.0001215748,0.0004086597,0.000009243958,0.000001860392,0.03491012,3.044063e-9,0.00001098023,0.4160424,0.07780324,0.470664],"study_design_scores_gemma":[0.00009977983,0.00004652329,0.0002615154,0.0004479858,0.00002577255,0.000002851668,0.0005550508,0.00004180449,0.00000496107,0.06488113,0.933436,0.0001965713],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001806184,0.06986275,0.3941106,0.4383002,0.0141279,0.003483373,0.0001521971,0.0008732322,0.07728364],"genre_scores_gemma":[0.5823166,0.260087,0.02615344,0.06793997,0.06253856,0.00002082885,0.00008587513,0.00006285873,0.000794784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8556328,"threshold_uncertainty_score":0.9994011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3648777862006704,"score_gpt":0.4410435142896936,"score_spread":0.07616572808902317,"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."}}