{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001776606,0.0001801052,0.0002728098,0.0001509824,0.0002635728,0.00006297258,0.0001238069,0.0001552919,0.0001331352],"category_scores_gemma":[0.00004404172,0.000151296,0.00005824622,0.0001901033,0.00006472074,0.0002201518,0.00008694872,0.0002220977,0.00002940771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008862045,"about_ca_system_score_gemma":0.00004117743,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008112659,"about_ca_topic_score_gemma":0.03854763,"domain_scores_codex":[0.9989213,0.000100605,0.0001451879,0.0003919519,0.0001405106,0.000300415],"domain_scores_gemma":[0.9995134,0.0000705056,0.0000546437,0.0001739018,0.00002985037,0.0001577338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001774286,0.00003191812,0.8483827,0.00004065739,0.00009068602,0.00001097892,0.0001493399,0.004591823,0.004750145,0.0000611264,0.0005242181,0.141189],"study_design_scores_gemma":[0.0003489283,0.0003975689,0.9359597,0.00002005213,0.00005256884,0.000004433672,0.00008863606,0.05942976,0.001778698,0.001437788,0.0002666533,0.0002152182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932323,0.00002043659,0.0006761943,0.001410638,0.0001073482,0.0002538604,0.0001402793,0.00004623055,0.00411268],"genre_scores_gemma":[0.9981665,0.00002066118,0.0001087504,0.0004057634,0.00004216061,0.000002205291,0.0003633829,0.000003103771,0.0008875006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1409738,"threshold_uncertainty_score":0.9984924,"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."}}