{"id":"W2986116554","doi":"10.1111/conl.12688","title":"Estimating IUCN Red List population reduction: JARA—A decision‐support tool applied to pelagic sharks","year":2019,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Canada Research Chairs; National Science Foundation","keywords":"IUCN Red List; Population; Fishery; Pelagic zone; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01163171,0.00101749,0.0008757714,0.003079458,0.0007169535,0.002001904,0.001782814,0.001093582,0.01388203],"category_scores_gemma":[0.03067919,0.0007049335,0.0009068849,0.0008987525,0.000444638,0.001440244,0.001434895,0.001034873,0.002202975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007566989,"about_ca_system_score_gemma":0.001515285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008152885,"about_ca_topic_score_gemma":0.008940945,"domain_scores_codex":[0.9978339,0.001443521,0.0001443316,0.000230141,0.0002765405,0.00007158628],"domain_scores_gemma":[0.9842337,0.01145189,0.001143153,0.0006609152,0.002072373,0.0004380029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009535489,0.0005019557,0.03335244,0.0004794551,0.0004791881,0.0003660766,0.0006074322,0.6485219,0.003182465,0.01298367,0.06077993,0.237792],"study_design_scores_gemma":[0.00004864707,0.00003215899,0.0009382927,0.00003568792,0.00002214916,0.00001683915,0.00006642707,0.9916956,0.0008262619,0.0036939,0.002602692,0.00002130221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1198753,0.0001870172,0.8113372,0.002037773,0.0002290688,0.0005567776,0.008927322,0.0458261,0.01102336],"genre_scores_gemma":[0.3429746,0.00007603783,0.6504643,0.0002583168,0.00005751351,0.0005262425,0.002813553,0.001217926,0.001611503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01388203,"threshold_uncertainty_score":0.06151509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00912453144891198,"score_gpt":0.2299447889948066,"score_spread":0.2208202575458946,"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."}}