{"id":"W1828657278","doi":"10.3968/j.ccc.1923670020120801.743","title":"Interpretation of the Government SME Support Policy Changes in South Korean and the Revelation to China","year":2012,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Asian Industrial and Economic Development","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Revelation; China; Government (linguistics); Legislation; Humanities; Economy; Economics; Law","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":[0.001906402,0.0001925834,0.0001222796,0.000866985,0.001664049,0.002970969,0.0004019199,0.001271676,0.002195123],"category_scores_gemma":[0.002376124,0.0001300755,0.0002447013,0.001450493,0.002544217,0.00154229,0.001477841,0.00124903,0.0001090429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01041155,"about_ca_system_score_gemma":0.008516821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03596144,"about_ca_topic_score_gemma":0.03254862,"domain_scores_codex":[0.9991345,0.0002359084,0.00007621351,0.0001061795,0.0001507638,0.0002964224],"domain_scores_gemma":[0.9988478,0.0002682146,0.0003640128,0.00007933974,0.0002820432,0.0001584509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002888475,0.00009897604,0.08704888,0.0006234747,0.00008806605,0.004835301,0.08036296,0.003752417,0.004423181,0.7435069,0.02162882,0.05334214],"study_design_scores_gemma":[0.00007292949,0.0001577683,0.2545175,0.001229309,0.0001462443,0.0006139291,0.1649197,0.005488743,0.005245793,0.08238214,0.4850495,0.0001763794],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8565553,0.003742689,0.001176358,0.04902998,0.0002375572,0.00006881912,0.0002428449,0.00002546264,0.08892104],"genre_scores_gemma":[0.9869406,0.001090082,0.0002273049,0.002140713,0.00002749931,0.0000220984,0.00004202252,0.000006114798,0.009503636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03596144,"threshold_uncertainty_score":0.07554138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02962611431146709,"score_gpt":0.3265007793985005,"score_spread":0.2968746650870334,"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."}}