{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009899556,0.0002607674,0.00038856,0.0008465993,0.00015168,0.0009386812,0.00235893,0.0001121757,0.00003796065],"category_scores_gemma":[0.00003582631,0.0002254443,0.0004198266,0.0006897588,0.00001665054,0.000556012,0.0003708483,0.0004326826,0.0001846744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009884323,"about_ca_system_score_gemma":0.0001214279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003670181,"about_ca_topic_score_gemma":0.00001718234,"domain_scores_codex":[0.9967857,0.000178214,0.0006921593,0.0004849843,0.001471067,0.0003878837],"domain_scores_gemma":[0.9980801,0.0002012139,0.0005442458,0.0005632133,0.0004123659,0.0001989124],"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":[0.0000223537,0.00009765296,0.01068766,0.0000163768,0.001941127,0.0001199495,0.000392432,0.1694473,0.00005308185,0.8133947,0.0001227998,0.003704591],"study_design_scores_gemma":[0.0005913172,0.000241095,0.008942705,0.0001398443,0.00006625974,0.0004555508,0.0001469026,0.9866795,0.00003998089,0.0009614073,0.001451013,0.0002844062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3819278,0.00007597043,0.5916833,0.00144082,0.007074387,0.0001795094,0.00002784053,0.0001695618,0.01742082],"genre_scores_gemma":[0.9909558,0.000007640391,0.007438324,0.0004656121,0.0004993204,0.000003241803,0.00001424448,0.00002342398,0.0005923839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8172322,"threshold_uncertainty_score":0.9193352,"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."}}