{"id":"W4229025240","doi":"10.3390/birds3010008","title":"Illegal Wildlife Trade in Traditional Markets, on Instagram and Facebook: Raptors as a Case Study","year":2022,"lang":"en","type":"article","venue":"Birds","topic":"Wildlife Conservation and Criminology Analyses","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wildlife Conservation Society Canada","funders":"Universitas Gadjah Mada; Oxford Brookes University","keywords":"Wildlife trade; Abundance (ecology); Wildlife; Enforcement; Predation; Business; Law enforcement; International trade; Ecology; Biology; Political science; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002708033,0.000101111,0.0001063031,0.00008536514,0.0002780938,0.00001436335,0.00009965264,0.0000299866,0.005411637],"category_scores_gemma":[0.00002768491,0.0001007747,0.0000299928,0.0001862619,0.0001277752,0.00008306892,0.00008663953,0.0002047758,0.0000567538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000484,"about_ca_system_score_gemma":0.00002328698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009778939,"about_ca_topic_score_gemma":0.0005910274,"domain_scores_codex":[0.9989511,0.0002233136,0.0001590849,0.0002646589,0.0002543544,0.0001474502],"domain_scores_gemma":[0.9996973,0.00007700243,0.00003693835,0.000119206,0.000001041516,0.00006851422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002191571,0.001573486,0.9493741,0.000003231883,0.00004055661,0.003520414,0.004436028,0.0006282661,0.0001027917,0.0009421221,0.03000246,0.009157428],"study_design_scores_gemma":[0.001405329,0.0005135033,0.9253788,0.000002218397,0.0000210399,0.001059699,0.01410001,0.0004880192,0.00001338025,0.0002148537,0.05659751,0.0002056652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916604,0.00001107864,0.000001725556,0.002321015,0.00007107132,0.0003358059,0.00001284212,0.00003310903,0.005552907],"genre_scores_gemma":[0.9946845,0.000003704401,0.00002053532,0.004587112,0.00001207207,0.0001485579,0.00000498902,0.000008033746,0.000530464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02659505,"threshold_uncertainty_score":0.9954975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05275802798108015,"score_gpt":0.2698412772462961,"score_spread":0.217083249265216,"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."}}