{"id":"W4410218079","doi":"10.1016/j.ijpe.2025.109635","title":"win–win contract farming in dual-channel agribusiness supply chains under yield, quality, and price uncertainty","year":2025,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Blueberry Council; University Canada West; University of Victoria; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Agribusiness; Yield (engineering); Supply chain; Dual (grammatical number); Quality (philosophy); Contract farming; Business; Industrial organization; Agriculture; Microeconomics; Economics; Production (economics); Marketing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006594762,0.000875275,0.001139147,0.0007960625,0.001852265,0.003044225,0.00207017,0.002661343,0.005678951],"category_scores_gemma":[0.01234717,0.0008425881,0.0008950692,0.0009249019,0.003035354,0.005928635,0.002766504,0.001740412,0.000350398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003691061,"about_ca_system_score_gemma":0.00301002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033685,"about_ca_topic_score_gemma":0.01070985,"domain_scores_codex":[0.9967176,0.00146424,0.0001176537,0.0005582276,0.0003693474,0.0007728435],"domain_scores_gemma":[0.9914742,0.005017459,0.001774528,0.000503212,0.0005724604,0.0006581725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003764585,0.0002292302,0.005497267,0.00008216468,0.00005265274,0.0007804077,0.0004479014,0.8956175,0.001615372,0.08509947,0.000483969,0.009717663],"study_design_scores_gemma":[0.00009730192,0.0001944568,0.0011417,0.00001823332,0.00002859621,0.0001032476,0.0004199885,0.9368866,0.000300084,0.05997138,0.000802806,0.00003555365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7351097,0.0001978544,0.2493481,0.0008949674,0.00004130664,0.0004543947,0.000200247,0.00008939386,0.0136641],"genre_scores_gemma":[0.9860259,0.00008581704,0.01027497,0.00003152847,0.000008833945,0.0001103248,0.00002858884,0.00001023178,0.003423949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01033685,"threshold_uncertainty_score":0.03487682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03788991165557241,"score_gpt":0.2786243152174739,"score_spread":0.2407344035619015,"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."}}