{"id":"W4377833855","doi":"10.3354/meps14321","title":"Seascape connectivity modeling predicts hotspots of fish-derived nutrient provisioning to restored coral reefs","year":2023,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Coral Reef Conservation Program; Southeast Fisheries Science Center; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Cambridge; National Oceanic and Atmospheric Administration; University of Alberta","keywords":"Seascape; Guild; Coral reef; Ecology; Seagrass; Habitat; Coral reef fish; Trophic level; Reef; Environmental science; Ecosystem; Fishery; Geography; 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":[0.0002688068,0.0003626698,0.0001943087,0.001103631,0.0002309482,0.0004738026,0.0003436676,0.0002884719,0.001205298],"category_scores_gemma":[0.001505319,0.000159612,0.000527156,0.000577729,0.0001962326,0.0004016629,0.0004829206,0.0002160499,0.0001232349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004946982,"about_ca_system_score_gemma":0.0003745476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03531181,"about_ca_topic_score_gemma":0.04759469,"domain_scores_codex":[0.9999191,0.00002085365,0.000004171179,0.00003346161,0.000006582863,0.00001594969],"domain_scores_gemma":[0.999557,0.0002101257,0.00009803526,0.00003103702,0.00005277315,0.00005104608],"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":[0.0001302197,0.00004571276,0.2087054,0.00002762194,0.000100466,0.00008709863,0.00006986075,0.7786831,0.001000087,0.001077185,0.0009462347,0.009127001],"study_design_scores_gemma":[0.000005371597,0.00001522791,0.03041679,0.000004601064,0.00001818441,0.00002212674,0.00007046741,0.9683942,0.0001267691,0.0007022845,0.0002192126,0.000004713851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932216,0.00007771336,0.005312406,0.00007451361,0.000006989775,0.000004707204,0.0004578916,0.0001137776,0.0007304426],"genre_scores_gemma":[0.9977697,0.00004108611,0.001592011,0.000009677628,0.000003207563,0.000004230863,0.0003908106,0.00001449438,0.0001748583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03531181,"threshold_uncertainty_score":0.07021254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599558494382459,"score_gpt":0.2376590849514421,"score_spread":0.2216635000076175,"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."}}