{"id":"W4307962390","doi":"10.5281/zenodo.7272288","title":"Data for the Night: Digital Rights, Trust, and Responsible Engagement with Data in 24-Hour Cities","year":2022,"lang":"en","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Internet privacy; Business; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.003758566,0.0001970277,0.0002157043,0.0002769293,0.007668813,0.002752272,0.006109438,0.0001027317,0.01763704],"category_scores_gemma":[0.002191046,0.0001594372,0.00002107359,0.0006153723,0.0005017114,0.001302897,0.01266874,0.0006883879,0.001404059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002140973,"about_ca_system_score_gemma":0.0000661691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008004715,"about_ca_topic_score_gemma":0.0001458699,"domain_scores_codex":[0.9967052,0.001009233,0.0002757066,0.0008590567,0.0007073095,0.0004434845],"domain_scores_gemma":[0.99705,0.0002335876,0.0001762619,0.00222722,0.0001935327,0.000119437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002354873,0.00007311673,0.000001780011,0.00007190769,0.0000589814,0.000008995951,0.002821201,0.000006457617,0.000002982152,0.00282686,0.981995,0.01189716],"study_design_scores_gemma":[0.0004653689,0.0001944975,0.00004160928,0.00003889924,0.00002862238,0.00001473668,0.004383732,0.0002420274,0.000002382194,0.0005303782,0.993838,0.0002197616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.002762874,0.005296501,0.01164503,0.0213409,0.002598557,0.01059703,0.1821535,0.00118649,0.7624191],"genre_scores_gemma":[0.1268664,0.01780244,0.001834767,0.0009911694,0.004373075,0.000007619919,0.5506707,0.006078355,0.2913754],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4710437,"threshold_uncertainty_score":0.9993734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1183288864743193,"score_gpt":0.3180698291256403,"score_spread":0.199740942651321,"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."}}