{"id":"W3038658280","doi":"","title":"Conditions in China's Listed Corporate Sector | Bulletin – June Quarter 2017","year":2017,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); China; Business; Political science; History","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":[0.0004309979,0.0001926077,0.0001624191,0.001327666,0.00153079,0.002084407,0.000246134,0.0005853541,0.008738372],"category_scores_gemma":[0.0006863379,0.000145405,0.0001431969,0.002221282,0.000390484,0.0007410047,0.0005698248,0.0005306921,0.0009980985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003754839,"about_ca_system_score_gemma":0.007494833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2459883,"about_ca_topic_score_gemma":0.4202859,"domain_scores_codex":[0.999613,0.00002351856,0.00004141152,0.00002322969,0.0001562889,0.0001424962],"domain_scores_gemma":[0.9991026,0.00003704284,0.0001940951,0.00001794662,0.0003674218,0.0002808709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000195649,0.0002002085,0.7631537,0.0003549781,0.00004856615,0.001482812,0.003246654,0.0003168547,0.002320207,0.006948205,0.1832407,0.03849145],"study_design_scores_gemma":[0.000006692592,0.00002481222,0.934713,0.00005110835,0.000008829228,0.00007531149,0.003773215,0.0001369443,0.0002735496,0.0001475522,0.06077322,0.00001581693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8894767,0.004005505,0.00008290667,0.008531023,0.0007521055,0.00006775615,0.01116566,0.00008651106,0.08583173],"genre_scores_gemma":[0.9289734,0.00307906,0.0001222691,0.000969841,0.0003114267,0.00004051283,0.006003785,0.00001554267,0.06048416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2459883,"threshold_uncertainty_score":0.489113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04593976029280029,"score_gpt":0.279534679009473,"score_spread":0.2335949187166727,"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."}}