{"id":"W4308785758","doi":"10.1007/s10344-022-01622-6","title":"Wildlife conservation in Myanmar: trade in wild sheep and goats for meat, medicine, and trophies, with links to China, India, and Thailand","year":2022,"lang":"en","type":"article","venue":"European Journal of Wildlife Research","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wildlife Conservation Society Canada","funders":"Oxford Brookes University","keywords":"Wildlife trade; Wildlife; Biology; Geography; China; Veterinary medicine; Zoology; Ecology; Medicine; Archaeology","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":[0.0003463609,0.000122555,0.00007486136,0.0006764186,0.0007367451,0.0005453866,0.0002861714,0.0001986081,0.002973159],"category_scores_gemma":[0.0004742013,0.00007825321,0.0001101204,0.0009723142,0.0004659485,0.0005820001,0.0008782508,0.0002954187,0.0001781787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003439034,"about_ca_system_score_gemma":0.0005020624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0132018,"about_ca_topic_score_gemma":0.02610483,"domain_scores_codex":[0.9998432,0.00005038633,0.00001229861,0.00002786406,0.00002038607,0.00004587894],"domain_scores_gemma":[0.9996365,0.00004234963,0.0002138111,0.00001984766,0.00005153623,0.00003604481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005446524,0.00004141735,0.9328172,0.0003396986,0.00006811046,0.002237377,0.007172057,0.0001001416,0.003787516,0.000913586,0.002699485,0.04976886],"study_design_scores_gemma":[0.000001943837,0.00004149338,0.9762239,0.0001614637,0.00002427586,0.001729221,0.0100968,0.0001688981,0.0002460519,0.0001525364,0.01114611,0.000007223828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930483,0.001677969,0.0001526801,0.001020155,0.00001420131,0.00001288041,0.0004518347,0.000007351044,0.003614557],"genre_scores_gemma":[0.9976489,0.0009408118,0.0002710073,0.0001495222,0.00001696559,0.00001359621,0.0003444251,0.000002557407,0.0006121363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0132018,"threshold_uncertainty_score":0.02624995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.037632246478631,"score_gpt":0.2865320659009484,"score_spread":0.2488998194223174,"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."}}