{"id":"W4409360119","doi":"10.1139/facets-2024-0152","title":"Anthropogenic impacts on seagrass habitat connectivity: a model to explore potential links between human activity and marine invertebrate metapopulation persistence","year":2025,"lang":"en","type":"article","venue":"FACETS","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia; University of British Columbia; Fisheries and Oceans Canada","funders":"","keywords":"Metapopulation; Seagrass; Persistence (discontinuity); Invertebrate; Habitat; Ecology; Marine invertebrates; Marine habitats; Geography; Biology; Fishery; Environmental science; Biological dispersal; Geology; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003384392,0.0005249708,0.0005485302,0.0006485856,0.0007902721,0.001207974,0.001480527,0.001193976,0.004112212],"category_scores_gemma":[0.0008820662,0.0003525462,0.0006823865,0.0008524911,0.0007713285,0.000685905,0.0009435676,0.0007336162,0.0002418463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00258084,"about_ca_system_score_gemma":0.001723473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2997364,"about_ca_topic_score_gemma":0.2688065,"domain_scores_codex":[0.9999006,0.00002450693,0.000003099756,0.0000250055,0.000007197408,0.00003960206],"domain_scores_gemma":[0.999678,0.0001164283,0.00005758871,0.00001524311,0.00004766875,0.00008506369],"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":[0.00004943625,0.00004203498,0.008857438,0.00001562136,0.00005204199,0.0001138953,0.00004917871,0.9857112,0.0003864102,0.002645647,0.0006212436,0.001455934],"study_design_scores_gemma":[0.00002626482,0.00002209133,0.002602736,0.000004141722,0.00002996405,0.00001590001,0.0000570993,0.9959428,0.00001936254,0.0009872821,0.0002856128,0.000006650621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676681,0.0002766474,0.01904246,0.0008131172,0.00003658869,0.00003416111,0.001246891,0.0001618441,0.01072024],"genre_scores_gemma":[0.9937367,0.0001470853,0.001845552,0.00006408426,0.00001735768,0.0000327004,0.0002546079,0.00001895776,0.00388281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2997364,"threshold_uncertainty_score":0.5959835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06050407722322049,"score_gpt":0.2781648149613408,"score_spread":0.2176607377381203,"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."}}