{"id":"W2349840246","doi":"","title":"Comparative study on domestic and abroad cold chain logistics system for agricultural products","year":2013,"lang":"en","type":"article","venue":"Journal of Beijing University of Agriculture","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cold chain; Agriculture; Business; Marketization; China; Supply chain; Agricultural economics; Product (mathematics); Industrial organization; Agricultural science; Marketing; Engineering; Environmental science; Economics; Geography","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":[0.0006623208,0.0002054376,0.0001508876,0.001808959,0.000908172,0.001434247,0.0003371829,0.0002471308,0.004257493],"category_scores_gemma":[0.001308174,0.00009739827,0.0003340088,0.002766087,0.0005056563,0.001617528,0.0005953622,0.0001996412,0.0005392369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527501,"about_ca_system_score_gemma":0.0008778676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01561274,"about_ca_topic_score_gemma":0.01522029,"domain_scores_codex":[0.9995463,0.00009563768,0.00004230134,0.0000773265,0.0001343138,0.0001040512],"domain_scores_gemma":[0.9989642,0.0001614619,0.000176813,0.00008379389,0.0004762333,0.000137451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00061982,0.0002365056,0.8509585,0.0004200673,0.00006489654,0.002683866,0.02316292,0.002654618,0.01069724,0.007784835,0.002180171,0.09853657],"study_design_scores_gemma":[0.00001191172,0.0007177548,0.9188805,0.00008717067,0.0000898624,0.0008403833,0.05144527,0.00395813,0.003975968,0.0007344508,0.01921087,0.00004783793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880229,0.0001230533,0.000232094,0.00005975152,0.000005272825,0.0000162838,0.0001025298,0.000008478029,0.01142969],"genre_scores_gemma":[0.9966833,0.0001958057,0.0002253881,0.000012142,0.000003158879,0.000004465912,0.000235359,0.00000429184,0.002636059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01561274,"threshold_uncertainty_score":0.03104371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038391791465741,"score_gpt":0.2217220627765743,"score_spread":0.2013381448619169,"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."}}