{"id":"W4205171221","doi":"10.1016/j.cub.2021.08.056","title":"Wildlife trade","year":2021,"lang":"en","type":"article","venue":"Current Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":95,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Chinese Academy of Medical Sciences; National Natural Science Foundation of China","keywords":"Wildlife trade; Wildlife; CITES; International trade; Quarter (Canadian coin); Fishing; Fishery; Business; Biology; Ecology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006558149,0.00005493677,0.00007075266,0.000007329308,0.00006220741,0.000003388428,0.00008035416,0.00006259184,0.003254693],"category_scores_gemma":[0.00005236797,0.00005077889,0.00002904229,0.0001001511,0.0001206327,0.00004212785,0.0000740181,0.00009023682,0.0009272138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002664648,"about_ca_system_score_gemma":0.00001442946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004648362,"about_ca_topic_score_gemma":0.00003390868,"domain_scores_codex":[0.9994619,0.00007502719,0.00009414238,0.0001901961,0.00002997562,0.0001487127],"domain_scores_gemma":[0.9997774,0.00003727369,0.00002690489,0.0001177599,0.000002023537,0.00003858764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002522849,0.00005409326,0.9297049,0.000001324585,0.000003346227,0.00000230313,0.00003302748,0.000005792422,0.001009397,0.001715701,0.03514788,0.0323197],"study_design_scores_gemma":[0.0001004897,0.00001394222,0.5894411,0.000001371855,0.000003597048,0.000007189943,0.00000671184,0.0000452177,0.0001870665,0.001822249,0.4083171,0.00005393818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859334,0.0003310264,0.0004470497,0.006705048,0.001060975,0.00004671637,0.000004250951,0.0000357301,0.0054358],"genre_scores_gemma":[0.9961693,0.00009276016,0.000184225,0.003144678,0.00009770411,0.00001215006,0.00005575375,0.000003598913,0.0002398687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3731692,"threshold_uncertainty_score":0.9998507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02431717451206433,"score_gpt":0.2688920393791608,"score_spread":0.2445748648670965,"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."}}