{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003020447,0.0003275696,0.0002078127,0.001886275,0.001268255,0.002606489,0.0004974105,0.0006925575,0.2746203],"category_scores_gemma":[0.0008026467,0.0001754365,0.0003086837,0.001760054,0.0004592229,0.001575737,0.001204148,0.0009356474,0.06133937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008738301,"about_ca_system_score_gemma":0.001202983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007055562,"about_ca_topic_score_gemma":0.01588038,"domain_scores_codex":[0.9996961,0.00002759721,0.00001092677,0.00007582675,0.0001204372,0.00006907128],"domain_scores_gemma":[0.9996104,0.00004034832,0.00003271635,0.00008617269,0.0001240798,0.0001063071],"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":[0.0001755022,0.0001774985,0.01752935,0.0002244658,0.00003537079,0.0004898575,0.0008065474,0.0002914899,0.002154093,0.08297735,0.4305828,0.4645557],"study_design_scores_gemma":[0.000006162773,0.00001968773,0.009898955,0.00004894238,0.000005146097,0.0002412022,0.0003441982,0.00008352816,0.0002700695,0.002174464,0.9869038,0.000003880812],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01119871,0.0009312357,0.0005529135,0.001076521,0.0004499433,0.00003943972,0.002479888,0.0001873338,0.983084],"genre_scores_gemma":[0.0448359,0.0008701007,0.0004712237,0.0006329924,0.0001694015,0.00003684191,0.003040684,0.00009231182,0.9498507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2746203,"threshold_uncertainty_score":0.9186965,"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."}}