{"id":"W2996083071","doi":"10.1111/cobi.13451","title":"Realities of offering advice to governments on CITES","year":2019,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Aquatic life and conservation","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Ocean Park Conservation Foundation, Hong Kong; SciFund Challenge","keywords":"CITES; Government (linguistics); Business; Seahorse; Endangered species; Adaptive management; Convention; Environmental resource management; Environmental planning; Political science; Geography; Ecology; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001287945,0.00006542669,0.0001174256,0.000009713372,0.00003095836,0.000006618358,0.000109936,0.00005888669,0.0003845189],"category_scores_gemma":[0.000103165,0.00002804155,0.0000272718,0.0001531441,0.00001960511,0.00004763982,0.0000325263,0.00003030423,0.0001223954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000017071,"about_ca_system_score_gemma":0.000008952036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007236388,"about_ca_topic_score_gemma":0.0001730417,"domain_scores_codex":[0.9994301,0.00004979042,0.0001825847,0.000148658,0.00008409948,0.0001047983],"domain_scores_gemma":[0.9994344,0.0003294043,0.00009153789,0.00005566006,0.00006098949,0.00002800625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007050892,0.00002302964,0.5703775,0.000008197389,0.00001086292,1.084677e-7,0.00008420814,0.00000371572,0.3861321,0.02843183,0.001448599,0.01340939],"study_design_scores_gemma":[0.0001636643,0.0006799945,0.9028864,0.00003812108,0.000004585707,5.398111e-7,0.0004115113,0.000191968,0.01438405,0.003119648,0.07798556,0.000133946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903857,0.000009650847,0.00001579704,0.004360591,0.0001146478,0.0001626101,0.00002594668,0.0000305123,0.004894615],"genre_scores_gemma":[0.9937767,0.000006521833,0.0001179324,0.005036716,0.00005154632,0.0000115461,0.00006603432,4.921071e-7,0.0009325036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.371748,"threshold_uncertainty_score":0.4210213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02769363462451195,"score_gpt":0.2377191729178567,"score_spread":0.2100255382933448,"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."}}