{"id":"W2938436784","doi":"10.5539/jas.v11n5p161","title":"Registration and Georeferencing of the Family Farming Production Chain in Itapúa Department, Paraguay","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; Business; Agriculture; Android (operating system); Government (linguistics); Production (economics); Information system; SWOT analysis; Computer science; Knowledge management; World Wide Web; Marketing; Geography; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009901648,0.00005439418,0.000151291,0.0001122467,0.00007327073,0.0000432354,0.0001615328,0.0000241064,0.000006412552],"category_scores_gemma":[0.0001052054,0.0000330191,0.00002787161,0.0006459601,0.00007517067,0.000881836,0.00002433798,0.00008679777,0.000003173547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009112376,"about_ca_system_score_gemma":0.00003546985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008537806,"about_ca_topic_score_gemma":0.00004427421,"domain_scores_codex":[0.9991956,0.000006083274,0.0004982736,0.0001319969,0.00005752699,0.0001105043],"domain_scores_gemma":[0.9989709,0.00001041671,0.0007965271,0.00007837515,0.0001252625,0.00001858144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006822754,0.00003059108,0.9643906,0.00002260337,0.000005561143,2.107417e-7,0.0006140812,0.0009965814,0.02440926,0.008724893,0.0001191294,0.0006796306],"study_design_scores_gemma":[0.0001294015,0.00002546687,0.9967481,0.00003723934,0.000001196746,0.00002000849,0.0003697381,0.00006636172,0.001429657,0.0009060453,0.0002135704,0.00005313975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973325,0.0002484507,0.00002412697,0.0004541301,0.0005417462,0.0001061202,0.0000014057,0.000001448595,0.001290077],"genre_scores_gemma":[0.9995376,0.00006489238,0.0001612904,0.00003367515,0.00007080928,9.346946e-7,4.637989e-7,0.000001305981,0.0001290564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03235754,"threshold_uncertainty_score":0.134648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02362662651278274,"score_gpt":0.2002476593449511,"score_spread":0.1766210328321683,"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."}}