{"id":"W2963841233","doi":"10.5539/ibr.v12n8p61","title":"Study on Development Strategies of Fresh Agricultural Products E-commerce in China","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Business; China; Informatization; Clothing; Profitability index; E-commerce; Commerce; Agricultural economics; Marketing; Agricultural science; Finance; Economics; Engineering; Political science; Geography","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":[0.0008809092,0.0002503337,0.0002168912,0.001506025,0.001363912,0.001678719,0.000473818,0.0004444401,0.002320964],"category_scores_gemma":[0.0009908921,0.0001928598,0.0002971389,0.002109372,0.0005132239,0.001493671,0.0006052814,0.0002855174,0.0001796595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003040686,"about_ca_system_score_gemma":0.004633338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03445932,"about_ca_topic_score_gemma":0.04469202,"domain_scores_codex":[0.9995127,0.0001088416,0.0000391455,0.00006705151,0.0001155312,0.0001567032],"domain_scores_gemma":[0.9993401,0.000175086,0.0001354472,0.00002102752,0.0001521717,0.0001761822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001308339,0.0006792986,0.8002641,0.0003708065,0.0000586618,0.00373709,0.07446924,0.002043196,0.00535169,0.01933673,0.00193374,0.09162461],"study_design_scores_gemma":[0.00002630642,0.0003349608,0.8644058,0.0001335324,0.0000822677,0.0004731173,0.1044489,0.009926815,0.002175507,0.001492599,0.01645275,0.00004748547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948075,0.0001536513,0.0001659198,0.0001995377,0.000002045093,0.00003688768,0.00001961372,0.000002958173,0.004612016],"genre_scores_gemma":[0.9968959,0.0003776185,0.0002944443,0.00003888899,0.000001891038,0.00001268697,0.00003337062,0.000001359349,0.00234389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03445932,"threshold_uncertainty_score":0.06851751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2237767728990805,"score_gpt":0.4730961147060478,"score_spread":0.2493193418069673,"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."}}