{"id":"W4402452056","doi":"10.1111/csp2.13153","title":"Marine spatial planning for socio‐ecological management of animal‐associated microbiomes","year":2024,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"German Academic Exchange Service; Fisheries and Oceans Canada; Deutscher Akademischer Austauschdienst","keywords":"Microbiome; Biodiversity; Ecology; Habitat; Marine protected area; Environmental resource management; Marine spatial planning; Diversity (politics); Geography; Workflow; Host (biology); Biology; Environmental planning; Environmental science; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.007765388,0.0003804693,0.000275512,0.002847282,0.002802851,0.003256101,0.001800172,0.0005030039,0.007536926],"category_scores_gemma":[0.01510813,0.0002303595,0.0003933704,0.002559915,0.001260742,0.001403108,0.00488525,0.0006546533,0.0006169187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008183597,"about_ca_system_score_gemma":0.02983763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1821099,"about_ca_topic_score_gemma":0.3480853,"domain_scores_codex":[0.9966767,0.001913147,0.0001555515,0.0002784337,0.0006083202,0.0003678613],"domain_scores_gemma":[0.9901136,0.002805087,0.001535178,0.001289467,0.00259026,0.001666234],"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":[0.0002779759,0.0004217127,0.1450184,0.001000153,0.0001005873,0.0006021183,0.01409838,0.0408115,0.005995047,0.02887326,0.0264873,0.7363135],"study_design_scores_gemma":[0.0001489534,0.0007735497,0.3575636,0.003081323,0.0001950696,0.0003489564,0.1122721,0.09282228,0.0102251,0.07875095,0.3435103,0.0003079549],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4780926,0.00376514,0.2852532,0.04051527,0.0004145831,0.007463577,0.004510369,0.002966921,0.1770184],"genre_scores_gemma":[0.7225411,0.0008429337,0.268448,0.0004748951,0.00004028709,0.001318507,0.0006176605,0.00009335281,0.005623338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1821099,"threshold_uncertainty_score":0.3620997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05102038661342561,"score_gpt":0.3301487762265127,"score_spread":0.2791283896130871,"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."}}