{"id":"W3169721141","doi":"10.5509/2021942347","title":"Suspension 2.0","year":2021,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tsinghua University","keywords":"Speculation; Livelihood; China; State (computer science); Population; Investment (military); Capital (architecture); Business; Compensation (psychology); Development economics; Market economy; Economic growth; Finance; Geography; Political science; Economics; Sociology; Law; Agriculture","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002241415,0.0004288666,0.0002542051,0.001381308,0.00344167,0.004120711,0.001255764,0.001132707,0.1486721],"category_scores_gemma":[0.003460637,0.0002401098,0.0004966145,0.001494115,0.001644399,0.002708609,0.004897407,0.001405455,0.03573091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002527684,"about_ca_system_score_gemma":0.008066954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01538063,"about_ca_topic_score_gemma":0.01578443,"domain_scores_codex":[0.997703,0.000260978,0.0001085117,0.0002793162,0.0007352647,0.0009130189],"domain_scores_gemma":[0.9973929,0.0001238645,0.0002248868,0.0004119076,0.0007057528,0.001140729],"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":[0.0001912737,0.0001589199,0.03280804,0.0003777687,0.00002032351,0.0006984194,0.006842631,0.0001924434,0.002256357,0.3104957,0.4269764,0.2189818],"study_design_scores_gemma":[0.00002081732,0.00007267288,0.01357304,0.00009229532,0.000007155925,0.0001910023,0.001311006,0.0001676512,0.0003623862,0.006960783,0.9772121,0.00002903952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04190555,0.000576215,0.002228179,0.006244605,0.001043512,0.0003484674,0.001877979,0.001598916,0.9441766],"genre_scores_gemma":[0.26248,0.0008735212,0.001848583,0.00554002,0.0007226106,0.00043556,0.003757712,0.0004251987,0.7239168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1486721,"threshold_uncertainty_score":0.4973576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294789277004079,"score_gpt":0.2587087213657178,"score_spread":0.245760828595677,"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."}}