{"id":"W2979071347","doi":"","title":"El tráfico de fauna silvestre por internet: ¿un mercado comparado con el tráfico de drogas virtual?","year":2019,"lang":"es","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Wildlife Conservation and Criminology Analyses","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Geography; Art; Political science; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001808936,0.0004487832,0.0005476703,0.004422214,0.0009430987,0.008945654,0.0006428785,0.002006569,0.006810525],"category_scores_gemma":[0.007669416,0.0002446752,0.0004151576,0.003767575,0.002236895,0.008460831,0.001532295,0.001640089,0.0009955572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813744,"about_ca_system_score_gemma":0.0007220381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01470707,"about_ca_topic_score_gemma":0.0125917,"domain_scores_codex":[0.9987485,0.0004486298,0.00005869771,0.000164807,0.000429364,0.0001500071],"domain_scores_gemma":[0.9945644,0.002633711,0.001548291,0.0002137503,0.0008695989,0.000170211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007624289,0.000218929,0.256964,0.004030167,0.0004620371,0.004942177,0.02114972,0.004639559,0.002337965,0.2019691,0.08390202,0.418622],"study_design_scores_gemma":[0.00004831435,0.0003487668,0.2463834,0.007645833,0.0005426793,0.007006098,0.09798808,0.01836628,0.001897018,0.08047719,0.5389892,0.0003071845],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3988831,0.2114567,0.01370744,0.1088794,0.003218642,0.0001324021,0.003259337,0.0002495469,0.2602134],"genre_scores_gemma":[0.9087406,0.07607939,0.001611584,0.002892151,0.002551112,0.0000284577,0.0006259184,0.00005844267,0.007412369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01470707,"threshold_uncertainty_score":0.02924293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503941122832157,"score_gpt":0.2600018208482462,"score_spread":0.2449624096199246,"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."}}