{"id":"W4310989650","doi":"10.1111/gove.12751","title":"Sorting citizens: Governing via China's social credit system","year":2022,"lang":"en","type":"article","venue":"Governance","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Affairs Canada; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Authoritarianism; State (computer science); Construct (python library); China; Politics; Sociology; Public relations; Loyalty; Ideal (ethics); Misconduct; Political science; Law; Democracy; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086456,0.0001006384,0.0001328566,0.001626883,0.00132362,0.001790956,0.0002246262,0.0002144949,0.002882144],"category_scores_gemma":[0.001706366,0.00005802522,0.00009815236,0.00194771,0.002109312,0.0008087785,0.0009964857,0.0002108672,0.0001070636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00327667,"about_ca_system_score_gemma":0.0030998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04999435,"about_ca_topic_score_gemma":0.07908445,"domain_scores_codex":[0.9993793,0.0001549493,0.00004372919,0.00008387252,0.0001464563,0.0001917537],"domain_scores_gemma":[0.9986295,0.0002380411,0.0004406726,0.0001523638,0.000288208,0.000251247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005998079,0.0000761238,0.9038841,0.00004383633,0.00002884406,0.0002172583,0.00911004,0.0009748163,0.001388121,0.04150818,0.002263997,0.04044481],"study_design_scores_gemma":[0.00001567762,0.00008193268,0.9605102,0.00003432213,0.00002567879,0.0000363547,0.01183591,0.004086582,0.0007022836,0.006874404,0.01576774,0.00002891823],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921766,0.00002025873,0.0001854337,0.0002192403,0.000002499343,0.00002002959,0.0001043355,0.000008337915,0.007263253],"genre_scores_gemma":[0.9993896,0.000009609819,0.0000430969,0.00001294431,0.00000132976,0.000003583244,0.00004074803,5.287902e-7,0.000498475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04999435,"threshold_uncertainty_score":0.09940672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00928440128212598,"score_gpt":0.2434207335028057,"score_spread":0.2341363322206798,"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."}}