{"id":"W1974851760","doi":"10.5539/ass.v10n2p166","title":"The System of High-Qualified Thung Kula Ronghai Jasmine Rice Management for Export to the People’s Republic of China","year":2013,"lang":"en","type":"article","venue":"Asian Social Science","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Purchasing; Government (linguistics); People's Republic; Business; Product (mathematics); Marketing; Political science; 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":[0.001430673,0.0001985331,0.0001513105,0.0005873512,0.004410758,0.001109736,0.000577566,0.0003490845,0.003060306],"category_scores_gemma":[0.0009884716,0.0001483437,0.0000999957,0.00163298,0.003087239,0.0009848061,0.001489051,0.0004362678,0.00009934969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008255248,"about_ca_system_score_gemma":0.0135488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06426291,"about_ca_topic_score_gemma":0.1137319,"domain_scores_codex":[0.9990537,0.0003787142,0.00004862854,0.00008870897,0.0001483151,0.0002820703],"domain_scores_gemma":[0.9993215,0.000136692,0.0001297111,0.00006026308,0.0001052277,0.0002467289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000641516,0.000140745,0.1705016,0.0003910643,0.00002391168,0.003410297,0.7441285,0.0007221242,0.007122741,0.02690016,0.00619562,0.04039911],"study_design_scores_gemma":[0.00001547592,0.0001102767,0.2218447,0.0001675154,0.00001656013,0.0006287188,0.7110645,0.001146008,0.001005069,0.001812644,0.06213512,0.00005345113],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882267,0.0001525402,0.0005363697,0.001304201,0.00001027052,0.00006715637,0.00004971191,0.000009572681,0.009643451],"genre_scores_gemma":[0.9969035,0.0000915378,0.0002755175,0.00008050864,0.000001428172,0.00004143325,0.00002888466,0.000001979309,0.002575315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06426291,"threshold_uncertainty_score":0.1277778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726524577843719,"score_gpt":0.2664339225219343,"score_spread":0.2491686767434971,"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."}}