{"id":"W4313207606","doi":"10.56369/tsaes.2937","title":"SISTEMA DE TRAZABILIDAD EN LA CADENA DE SUMINISTRO DE MALANGA EN VERACRUZ, MÉXICO: PROSPECTIVA","year":2020,"lang":"en","type":"article","venue":"Tropical and Subtropical Agroecosystems","topic":"Environmental and Cultural Studies in Latin America and Beyond","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Colocasia esculenta; Agricultural science; Business; Geography; Traceability; Horticulture; Biology; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009852782,0.0002671612,0.0003876551,0.000007366767,0.0002101986,0.00006756942,0.0002672921,0.0001839044,0.0008695299],"category_scores_gemma":[0.00009475827,0.0001885508,0.000137152,0.0001123684,0.0003345791,0.00009637656,0.0002676308,0.0003948314,0.0001815284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003735357,"about_ca_system_score_gemma":0.00001115166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001952706,"about_ca_topic_score_gemma":0.00007074211,"domain_scores_codex":[0.9979627,0.0003606377,0.0003269483,0.0004808888,0.0002867784,0.0005821151],"domain_scores_gemma":[0.9990623,0.0002251706,0.00006526263,0.0001347892,0.000003198304,0.0005093088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000993307,0.0001639793,0.9677128,0.0001110854,0.00004104257,0.00009862966,0.002089696,0.00003293336,0.02140304,0.00109561,0.001342461,0.005809346],"study_design_scores_gemma":[0.000634382,0.0004845321,0.9438062,0.00002798252,0.00004320221,0.0001683489,0.0007772744,0.001098969,0.00113186,0.0003514199,0.05114163,0.0003342085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884048,0.000199716,0.0007438852,0.003752985,0.00005034836,0.0002580445,0.00001394674,0.0000818245,0.006494506],"genre_scores_gemma":[0.9967526,0.0001395668,0.001172889,0.0008016128,0.0003699955,0.00005992702,0.000004249423,0.00001865877,0.0006804857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04979917,"threshold_uncertainty_score":0.9520743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005192637246675626,"score_gpt":0.2065313179410773,"score_spread":0.2013386806944017,"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."}}