{"id":"W2995806330","doi":"","title":"Conditions in China's Corporate Sector | Bulletin – December Quarter 2019","year":2019,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Global Political and Economic Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); China; Political science; Business; Geography","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":[0.0007054015,0.0003256298,0.0002275344,0.001867513,0.002030832,0.003219069,0.0002904495,0.001072172,0.01387035],"category_scores_gemma":[0.001143543,0.000215476,0.0001792504,0.002518697,0.0005891285,0.001044544,0.0007632945,0.001067499,0.001612917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006411909,"about_ca_system_score_gemma":0.009954837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.235931,"about_ca_topic_score_gemma":0.4159842,"domain_scores_codex":[0.9995059,0.0000397723,0.00004482617,0.00003291999,0.0002049435,0.0001716518],"domain_scores_gemma":[0.9990348,0.00006353315,0.0001680209,0.00002773632,0.0003874679,0.0003185632],"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":[0.0002213126,0.0001605164,0.1478876,0.0006187616,0.00005128469,0.001061796,0.00253961,0.000495474,0.001871937,0.02185303,0.7566142,0.06662444],"study_design_scores_gemma":[0.00002384176,0.00004505442,0.5455804,0.0001500188,0.00001999856,0.00008964757,0.002453636,0.0002755005,0.000428975,0.0008458152,0.4500392,0.00004779785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4731025,0.02320349,0.0002349565,0.07126583,0.007605479,0.0002138354,0.02077246,0.0002779652,0.4033234],"genre_scores_gemma":[0.753495,0.008660933,0.0002459594,0.005092388,0.002036248,0.00009741625,0.006654968,0.00005107779,0.223666],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.235931,"threshold_uncertainty_score":0.4691154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853879148099662,"score_gpt":0.2538993996648736,"score_spread":0.2353606081838769,"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."}}