{"id":"W4406190982","doi":"10.2744/ccb-1634","title":"The Collaborative to Combat the Illegal Trade in Turtles: Addressing Illegal Wildlife Trade with an Adaptive Socio-Ecological Approach","year":2025,"lang":"en","type":"article","venue":"Chelonian Conservation and Biology","topic":"Turtle Biology and Conservation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Wildlife Conservation Society Canada","funders":"","keywords":"Wildlife trade; Wildlife; Grassroots; Work (physics); Environmental planning; Business; Environmental resource management; Politics; Political science; Ecology; Biology; Geography; Economics; 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":[0.01981131,0.001120874,0.0003670884,0.002134921,0.01232114,0.008725821,0.0046759,0.005739711,0.008860217],"category_scores_gemma":[0.01542977,0.0002939322,0.0006800836,0.001038287,0.006172098,0.007163966,0.02271227,0.007028169,0.001728948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004603544,"about_ca_system_score_gemma":0.04113225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008201947,"about_ca_topic_score_gemma":0.0170696,"domain_scores_codex":[0.9880022,0.005915529,0.0004388972,0.001209936,0.002000099,0.002433342],"domain_scores_gemma":[0.9658748,0.00387469,0.001777753,0.001588358,0.005355526,0.02152882],"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":[0.0001507092,0.001400275,0.01976185,0.001325341,0.0001478464,0.002538626,0.1002699,0.004562281,0.004812472,0.1492512,0.259714,0.4560655],"study_design_scores_gemma":[0.00003864469,0.0006611749,0.004185167,0.0009855565,0.00005550672,0.001118275,0.07700814,0.003124842,0.001007734,0.05007937,0.8616291,0.0001064473],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1110889,0.01009397,0.127655,0.5158603,0.0108469,0.002583894,0.0002945064,0.0009698704,0.2206068],"genre_scores_gemma":[0.6924868,0.009399379,0.1573929,0.06950328,0.002391781,0.002387665,0.0006350565,0.0003816814,0.06542155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01981131,"threshold_uncertainty_score":0.1047735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264290562279881,"score_gpt":0.2728344896095082,"score_spread":0.2401915839867094,"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."}}