{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006635042,0.0002479985,0.0001854196,0.001097375,0.002106599,0.001060258,0.0004259678,0.0008469058,0.00253022],"category_scores_gemma":[0.001484653,0.0001598243,0.0002313919,0.001057612,0.0008768745,0.001398881,0.0009664816,0.0006388714,0.0004846268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005088423,"about_ca_system_score_gemma":0.0003489875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009325934,"about_ca_topic_score_gemma":0.02641855,"domain_scores_codex":[0.9993867,0.0003039757,0.00003534461,0.0000719162,0.00008817587,0.0001138297],"domain_scores_gemma":[0.9984564,0.00066034,0.0004155186,0.0001153531,0.0001228499,0.0002295454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002376472,0.001457804,0.8211727,0.0002232755,0.00006121216,0.03472532,0.08929951,0.0005108637,0.001742271,0.002371705,0.005015272,0.04318249],"study_design_scores_gemma":[0.00001797188,0.0004937373,0.6490975,0.0001960611,0.00008451918,0.03147771,0.293883,0.004243201,0.001801666,0.0008878783,0.0177462,0.00007053468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982105,0.00006319056,0.0001015164,0.0001097518,0.000003010329,0.00001512127,0.00007722536,0.000002461758,0.001417262],"genre_scores_gemma":[0.9971679,0.0002283036,0.000684578,0.00007529896,0.00001351369,0.00003227871,0.0001343403,0.000005141045,0.0016586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009325934,"threshold_uncertainty_score":0.0185433,"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."}}