{"id":"W6909176072","doi":"10.34989/swp-2022-8","title":"Dynamic Privacy Choices","year":2022,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Nucleofection; Population; Quality (philosophy); Consumption (sociology); Circumstantial evidence; Filter (signal processing)","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001444041,0.00022381,0.000297619,0.0002633275,0.002868574,0.0001694504,0.001337556,0.0001250975,0.00876123],"category_scores_gemma":[0.0006875743,0.0002695934,0.0001701107,0.0004637771,0.000556943,0.0008038676,0.000810886,0.0005681904,0.000526161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009104913,"about_ca_system_score_gemma":0.0007429652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002515971,"about_ca_topic_score_gemma":0.003503225,"domain_scores_codex":[0.9972782,0.0005366002,0.0003995456,0.0005957282,0.000553384,0.0006365023],"domain_scores_gemma":[0.9984782,0.0002212996,0.0002729836,0.0007065299,0.0000636004,0.0002574239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001088593,0.0007017679,0.850597,0.00006563456,0.0001742551,0.00006743746,0.02005176,0.00003448609,0.0005967534,0.03924182,0.07793868,0.01042159],"study_design_scores_gemma":[0.0006012245,0.00009141813,0.03020712,0.0000110412,0.00002983987,0.0000309634,0.003862611,0.0001906385,0.00004452846,0.00611833,0.9583235,0.0004888164],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9237416,0.00139808,0.0001553621,0.003187189,0.004637145,0.0006593221,0.0002007995,0.0004510133,0.06556951],"genre_scores_gemma":[0.9931109,0.0001954609,0.0005395912,0.0005475361,0.0004518685,0.0002138146,0.00005755831,0.00003037793,0.004852922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8803848,"threshold_uncertainty_score":0.9999756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834590399725036,"score_gpt":0.2812082803542853,"score_spread":0.2628623763570349,"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."}}