{"id":"W3159147054","doi":"10.1101/2021.04.23.441004","title":"Targeted, collaborative biodiversity conservation in the global ocean can benefit fisheries economies","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of British Columbia","funders":"Nuclear Safety and Security Commission; National Aeronautics and Space Administration; National Science Foundation","keywords":"Biodiversity; Marine protected area; Revenue; Business; Fishery; Marine ecosystem; Habitat; Marine biodiversity; Ecosystem services; Natural resource economics; Marine habitats; Exclusive economic zone; Ecosystem; International waters; Environmental resource management; Geography; Ecology; Economics; Finance; 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":[0.00226666,0.0005773319,0.0003145102,0.0005490672,0.001137523,0.003291279,0.0006767397,0.001117579,0.01768803],"category_scores_gemma":[0.003794153,0.0001944796,0.0005676657,0.0007935128,0.00105789,0.0032217,0.005050674,0.001109922,0.001360633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215213,"about_ca_system_score_gemma":0.002571659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004061707,"about_ca_topic_score_gemma":0.007437935,"domain_scores_codex":[0.9991913,0.0003105742,0.000023004,0.0001394104,0.0001583225,0.0001774091],"domain_scores_gemma":[0.99856,0.0002566967,0.0002466912,0.0003656117,0.000160044,0.0004110213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000345485,0.000795154,0.05616839,0.0007473885,0.0005743294,0.0007012647,0.001452206,0.1956341,0.01937554,0.3077221,0.07920408,0.33728],"study_design_scores_gemma":[0.0002897752,0.0005810587,0.06163173,0.0007192005,0.0004201686,0.0003721987,0.006891695,0.08980314,0.01108577,0.495532,0.3325523,0.0001209751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4611952,0.002854942,0.1513475,0.02914391,0.0006718587,0.000327637,0.001599136,0.001767242,0.3510927],"genre_scores_gemma":[0.959372,0.000936049,0.03063282,0.0009442681,0.00005525784,0.0001487784,0.0004439633,0.000152186,0.007314612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01768803,"threshold_uncertainty_score":0.05917239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104459339118342,"score_gpt":0.1803418519700715,"score_spread":0.1698959180582373,"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."}}