{"id":"W2577748480","doi":"10.1002/app5.165","title":"Assessing the Efficiency Costs of Vietnam's ‘Missing’ Small and Medium Sized Enterprises: A Panel Data Investigation","year":2017,"lang":"en","type":"article","venue":"Asia & the Pacific Policy Studies","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"International Development Research Centre","keywords":"Equity (law); Panel data; Missing data; Business; Skew; Small and medium-sized enterprises; Scale (ratio); Distribution (mathematics); Economics; Industrial organization; Econometrics; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001480053,0.000144666,0.0003270097,0.0001162814,0.001025405,0.0003308655,0.0008077779,0.00004445399,0.000003982697],"category_scores_gemma":[0.002847197,0.00009522271,0.00003878453,0.0002015383,0.0008944513,0.0003468929,0.0005201971,0.0001333024,0.00001444804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000466441,"about_ca_system_score_gemma":0.00006829453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004110874,"about_ca_topic_score_gemma":0.00005115724,"domain_scores_codex":[0.998884,0.00004738999,0.0004915125,0.0003075448,0.00005676256,0.0002127675],"domain_scores_gemma":[0.99767,0.0002689692,0.0007877482,0.001167292,0.00006985525,0.00003611525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004691748,0.0001986126,0.5113199,0.000291359,0.00102715,0.000004349907,0.04378572,0.000005170426,0.00101608,0.3997564,0.01078632,0.03176204],"study_design_scores_gemma":[0.001138761,0.00006494259,0.8877756,0.0002053507,0.00005497503,0.00001213113,0.01787867,0.001883191,0.0003857106,0.06712583,0.02308248,0.000392343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.702571,0.008811234,0.001340827,0.213282,0.0009455126,0.0008204888,0.0003325428,0.00006834916,0.07182807],"genre_scores_gemma":[0.9981398,0.0007500697,0.0001921178,0.0004389613,0.0001462967,0.00001490656,0.00001019481,0.0000124263,0.0002952523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3764557,"threshold_uncertainty_score":0.7886687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1922111414890196,"score_gpt":0.347463427432318,"score_spread":0.1552522859432984,"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."}}