{"id":"W2909883308","doi":"10.36829/63cts.v4i2.568","title":"Las plantas silvestres comestibles en un municipio del corredor seco de Guatemala","year":2017,"lang":"es","type":"article","venue":"Ciencia Tecnologí­a y Salud","topic":"Agricultural and Food Production Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Humanities; Geography; Biology; Art","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006405227,0.0006254426,0.0007299622,0.00005305914,0.003717567,0.0007230811,0.00209343,0.00049944,0.0003990592],"category_scores_gemma":[0.0008557608,0.0002582761,0.0002917429,0.0003558751,0.001293072,0.0005694682,0.001202041,0.0005808438,0.0005017222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001142651,"about_ca_system_score_gemma":0.00006269044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001194693,"about_ca_topic_score_gemma":0.000618882,"domain_scores_codex":[0.9965151,0.0002573686,0.0005860227,0.00103314,0.0004650579,0.001143287],"domain_scores_gemma":[0.997908,0.0003894937,0.0006610474,0.0005093307,0.0002305861,0.0003015467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001495198,0.0005789808,0.6770912,0.0001091889,0.0003719753,0.000162037,0.00142758,0.00003289149,0.1223378,0.003950848,0.02358759,0.1702004],"study_design_scores_gemma":[0.0003100878,0.0006478125,0.9437054,0.0001534421,0.0001382525,0.0001927077,0.003985485,0.00005833291,0.01122052,0.001058401,0.03782542,0.0007041445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977623,0.004732158,0.000002876961,0.01165191,0.001012795,0.0004262994,0.0002623083,0.0002833693,0.004005289],"genre_scores_gemma":[0.9886074,0.003431241,0.000276589,0.0003290538,0.001605538,0.00004459836,0.00006847979,0.000006055466,0.005631039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2666142,"threshold_uncertainty_score":0.9999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02647674531502995,"score_gpt":0.2592637823998704,"score_spread":0.2327870370848404,"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."}}