{"id":"W4390402668","doi":"10.37868/hsd.v5i2.285","title":"Analysis of the coffee production chain in the Amazonas Region in 2023","year":2023,"lang":"en","type":"article","venue":"Heritage and Sustainable Development ISSN 2712-0554","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chain (unit); Amazon rainforest; Production (economics); Business; Value (mathematics); Value chain; Population; Agricultural economics; Global value chain; Agricultural science; Supply chain; Commerce; Economics; International trade; Marketing; Comparative advantage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00034426,0.0001253558,0.0001151594,0.001808558,0.0006249591,0.0009134349,0.0002510912,0.0002013308,0.002691597],"category_scores_gemma":[0.001141769,0.0001281228,0.0002671543,0.00528068,0.0002312995,0.0005193794,0.000563053,0.000152106,0.0003489549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002591403,"about_ca_system_score_gemma":0.001644294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1214576,"about_ca_topic_score_gemma":0.1552456,"domain_scores_codex":[0.9997725,0.00005200083,0.00001724937,0.00002772946,0.00005873335,0.00007179749],"domain_scores_gemma":[0.9993035,0.0001184115,0.0002079434,0.00002821964,0.0002534264,0.00008850583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001019666,0.00005411489,0.9461905,0.000186481,0.00004264928,0.001769008,0.01073146,0.002217463,0.003256142,0.003204398,0.001058567,0.03118717],"study_design_scores_gemma":[0.000002059358,0.00003967298,0.9646748,0.00004217053,0.00001906715,0.000261265,0.02347473,0.002961799,0.0004770376,0.0003594751,0.007679309,0.000008546294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925873,0.0001968448,0.0004174116,0.0001629954,0.00000233443,0.00004278609,0.001211222,0.000008341225,0.005370841],"genre_scores_gemma":[0.996955,0.0001542474,0.0005850244,0.00001069048,0.000001493599,0.00001993864,0.0007283038,0.000003648368,0.00154151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1214576,"threshold_uncertainty_score":0.2415013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131139998712779,"score_gpt":0.2392879039057889,"score_spread":0.2179765039186611,"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."}}