{"id":"W2969223346","doi":"10.18461/ijfsd.v10i4.23","title":"Value Beyond Price: End User Value Chain Analysis","year":2019,"lang":"en","type":"article","venue":"International journal on food system dynamics","topic":"Spreadsheets and End-User Computing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Value (mathematics); Agribusiness; Value chain; Business; Chain (unit); Industrial organization; Microeconomics; Economics; Mathematics; Statistics; Marketing; Supply chain; Agriculture; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002660963,0.0006263452,0.0004182479,0.003613051,0.00100153,0.006427207,0.001048471,0.001042876,0.00964129],"category_scores_gemma":[0.00822542,0.0003094303,0.0006567082,0.00503657,0.002347335,0.008799738,0.001980143,0.001410532,0.0008834527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002666972,"about_ca_system_score_gemma":0.002430166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004590527,"about_ca_topic_score_gemma":0.002824765,"domain_scores_codex":[0.9980587,0.0008677177,0.00009205426,0.0002428452,0.0005615129,0.0001770991],"domain_scores_gemma":[0.9951907,0.002753696,0.0003311208,0.000488517,0.001055736,0.0001802501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005157378,0.00009320316,0.006181852,0.0002075013,0.00003900641,0.0002361428,0.002263942,0.0156427,0.0008287313,0.8950893,0.002159002,0.07720707],"study_design_scores_gemma":[0.00001060962,0.00008915813,0.004213657,0.0003105236,0.00005541632,0.0002130797,0.003382093,0.1624045,0.002015762,0.7841018,0.04314595,0.00005732574],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06337617,0.0008352733,0.8303203,0.001636273,0.00008167731,0.0004141232,0.0005196107,0.0002515855,0.1025649],"genre_scores_gemma":[0.7603931,0.001057344,0.2230742,0.0002454139,0.00006569848,0.0003937282,0.0004827762,0.000171023,0.0141167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00964129,"threshold_uncertainty_score":0.03225332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007928186161840297,"score_gpt":0.2405080860038589,"score_spread":0.2325798998420186,"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."}}