{"id":"W4385412729","doi":"10.1016/j.cie.2023.109499","title":"B2C or O2O? The strategic implications for the fresh produce supply chain based on blockchain technology","year":2023,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Blockchain; Supply chain; Business; Industrial organization; Commerce; Computer science; Marketing; Computer security","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007306497,0.0002438459,0.0002115906,0.0003974696,0.0005599356,0.0001367513,0.002471996,0.0003140562,0.00000268954],"category_scores_gemma":[0.0001695885,0.0001563317,0.00009648651,0.002901424,0.0001204808,0.00003752066,0.0003241145,0.0006606379,0.00001405954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006844593,"about_ca_system_score_gemma":0.0001660719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001135911,"about_ca_topic_score_gemma":0.000008624494,"domain_scores_codex":[0.9984068,0.00003106187,0.0003135212,0.0005747263,0.0001495206,0.0005243814],"domain_scores_gemma":[0.9969258,0.001207168,0.000100798,0.001623376,0.00008264271,0.00006021037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001851482,0.00007831761,0.00008188755,0.00001387026,0.00006641528,0.000004307333,0.000111438,0.3142278,0.0007902573,0.6165625,0.00952893,0.05851571],"study_design_scores_gemma":[0.0005947419,0.0001441251,0.0002743983,0.00003103954,0.00001329327,0.00001160686,0.00006165786,0.9784077,0.001087711,0.003806161,0.01535655,0.0002110583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03493309,0.00009499548,0.8168516,0.1418742,0.001244245,0.002330121,0.00003992224,0.002600658,0.00003121278],"genre_scores_gemma":[0.9909772,0.000008061592,0.006651868,0.0003782157,0.0004546387,0.001444278,0.00001127651,0.00002923268,0.00004518688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9560441,"threshold_uncertainty_score":0.6375023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04733371390573717,"score_gpt":0.2548550973547219,"score_spread":0.2075213834489848,"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."}}