{"id":"W2467046380","doi":"10.1111/cobi.12785","title":"Impacts of hunting on tropical forests in Southeast Asia","year":2016,"lang":"en","type":"review","venue":"Conservation Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":286,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Society for Conservation Biology","keywords":"Overexploitation; Wildlife; Bushmeat; Endangered species; Geography; Biodiversity; Deforestation (computer science); Wildlife trade; Habitat destruction; Poaching; Agroforestry; Wildlife conservation; Habitat; Environmental protection; Ecology; Biology","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":[0.0004828525,0.0002370587,0.0001489293,0.001409279,0.000413524,0.001114341,0.0002301885,0.0001634271,0.001702402],"category_scores_gemma":[0.0009610609,0.00008508946,0.0003280403,0.002611349,0.0003398277,0.0006181534,0.0006366907,0.0001996882,0.000102952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008112364,"about_ca_system_score_gemma":0.001283881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03606304,"about_ca_topic_score_gemma":0.08087223,"domain_scores_codex":[0.9997583,0.00006418656,0.0000503712,0.00002564214,0.00005423505,0.00004720515],"domain_scores_gemma":[0.9988027,0.0003095529,0.0005700989,0.00002360349,0.0001961317,0.00009795567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001390873,0.00007050995,0.8183856,0.007806181,0.0005466598,0.006579375,0.01091349,0.0006814538,0.002797915,0.001349041,0.003637286,0.1470934],"study_design_scores_gemma":[0.000007464432,0.00009908945,0.9642672,0.002100753,0.0004686776,0.0012535,0.01498539,0.0001923128,0.0003716531,0.0004046118,0.01583225,0.0000170887],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.878882,0.091463,0.0001904341,0.002248826,0.0001164562,0.00004907343,0.002771343,0.00002108319,0.0242577],"genre_scores_gemma":[0.9172391,0.08028734,0.0003247616,0.0005809149,0.00007311409,0.00002581035,0.0006411796,0.000005622001,0.0008221566],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03606304,"threshold_uncertainty_score":0.0717063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03650784623178947,"score_gpt":0.3052058940136213,"score_spread":0.2686980477818318,"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."}}