{"id":"W4212791083","doi":"10.31235/osf.io/h68c4","title":"PRIVACY AND POWER AROUND BEIJING 2022 OLYMPICS: LEGAL AND POLITICAL PERSPECTIVES","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beijing; Government (linguistics); Political science; Politics; Computer security; Encryption; Internet privacy; China; Public relations; Public administration; Law; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004615542,0.0003826552,0.0004683687,0.001278243,0.01321768,0.01517929,0.00143285,0.007981442,0.00723173],"category_scores_gemma":[0.005327162,0.0004742201,0.0004700524,0.001718271,0.03111728,0.007192616,0.006126412,0.01014821,0.0004222691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01884894,"about_ca_system_score_gemma":0.01022946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1085326,"about_ca_topic_score_gemma":0.09767566,"domain_scores_codex":[0.9959881,0.001397967,0.0001074167,0.0005757551,0.0006692926,0.001261481],"domain_scores_gemma":[0.9962328,0.001462518,0.0004602353,0.0003829103,0.000556555,0.0009051035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005138167,0.00004015103,0.00805011,0.00009093624,0.00004045073,0.0008941413,0.03815952,0.0003836433,0.0004968614,0.9122881,0.02840226,0.01110246],"study_design_scores_gemma":[0.00006205025,0.0001073307,0.05714036,0.0004801546,0.00006242823,0.0004342324,0.09455115,0.001738569,0.001219128,0.2673281,0.5766531,0.0002232794],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.1960431,0.008372662,0.001666656,0.5090231,0.001071437,0.00005561612,0.0002512805,0.00005207246,0.283464],"genre_scores_gemma":[0.9559181,0.001698224,0.0002544373,0.02162129,0.0005533461,0.00004265221,0.00005995678,0.00002107187,0.01983093],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1085326,"threshold_uncertainty_score":0.2158017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02525065912041596,"score_gpt":0.325841288088851,"score_spread":0.3005906289684351,"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."}}