{"id":"W3192870791","doi":"10.17762/converter.64","title":"Cross-country Comparison of Grain Processing Manufacturing Export Technical Complexity and Its Influencing Factors","year":2021,"lang":"en","type":"article","venue":"CONVERTER","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"China; Business; Sample (material); Spillover effect; Ranking (information retrieval); Modernization theory; Agriculture; Production (economics); International trade; Agricultural economics; Economics; Economic growth; Geography; Computer science; Macroeconomics","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":[0.001071121,0.0002892494,0.0002762643,0.00235479,0.0002865266,0.001140455,0.0001509105,0.0001821456,0.002897669],"category_scores_gemma":[0.002615508,0.0001379787,0.0009271778,0.002715681,0.0003816494,0.0006785619,0.0009706213,0.0003781349,0.0003293322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004058867,"about_ca_system_score_gemma":0.000329587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008340333,"about_ca_topic_score_gemma":0.00726044,"domain_scores_codex":[0.9995006,0.0001018159,0.00004803748,0.0001069842,0.00009311944,0.0001493574],"domain_scores_gemma":[0.9959455,0.001672737,0.00117752,0.0002610346,0.0006122909,0.0003309216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001400427,0.00003588467,0.9909514,0.00003176999,0.000351934,0.0002168918,0.0002880041,0.001873462,0.0005658193,0.0006509532,0.0003094289,0.004584514],"study_design_scores_gemma":[0.000002398103,0.00002899739,0.9979837,0.000007648372,0.00006766844,0.00005746452,0.0005093372,0.0006299145,0.0001892186,0.00005421147,0.0004641953,0.000005301284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971418,0.0001302696,0.0002407978,0.00002779871,0.000003828716,0.000004965612,0.0004893511,0.000005921239,0.001955419],"genre_scores_gemma":[0.998515,0.00007022903,0.00008820874,0.000005354089,0.000003497028,0.000003768941,0.0008780991,0.000002617749,0.0004332869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008340333,"threshold_uncertainty_score":0.01658356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09558217889967249,"score_gpt":0.2927437944515378,"score_spread":0.1971616155518653,"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."}}