{"id":"W1881814335","doi":"","title":"DESARROLLO DE UNA BASE DE DATOS DE PUERTOS FRONTERIZOS DE MEXICO","year":2015,"lang":"es","type":"article","venue":"PUBLICACION TECNICA","topic":"Geography and Environmental Studies in Latin America","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Cartography; Art","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":[0.0008787057,0.000246645,0.0002726569,0.002179326,0.0009100942,0.001479093,0.0004888258,0.000415847,0.002846014],"category_scores_gemma":[0.003505435,0.0001794869,0.0002335989,0.003723376,0.0002815886,0.001001027,0.0007502157,0.0004783249,0.0004744061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002228311,"about_ca_system_score_gemma":0.002370774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3523518,"about_ca_topic_score_gemma":0.4203784,"domain_scores_codex":[0.9995493,0.00007981635,0.00004451652,0.00011573,0.0001384346,0.00007205933],"domain_scores_gemma":[0.9971662,0.000442484,0.0007128766,0.0002088268,0.001369493,0.000100095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001910547,0.00004613438,0.8913932,0.0005232247,0.0001512077,0.0004655068,0.008634937,0.001056552,0.002795143,0.001376306,0.01302916,0.08033756],"study_design_scores_gemma":[0.0000096228,0.0000481741,0.9206399,0.0004102037,0.0001539648,0.0001144259,0.00981139,0.0009158265,0.00154368,0.000265627,0.06606149,0.00002570018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8983339,0.002348897,0.003906907,0.001646422,0.00006473195,0.0001747348,0.07393954,0.0001648582,0.01942011],"genre_scores_gemma":[0.9337205,0.003499956,0.01334477,0.0002268078,0.0000502089,0.0003522308,0.04104448,0.00005386254,0.007707179],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.3523518,"threshold_uncertainty_score":0.7006017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248234672309755,"score_gpt":0.298532220305563,"score_spread":0.2737087530745875,"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."}}