{"id":"W2040935513","doi":"10.1139/f07-192","title":"Degree of aquatic ecosystem fragmentation predicts population characteristics of gray snapper (<i>Lutjanus griseus</i>) in Caribbean tidal creeks","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nature Conservancy","keywords":"Ecosystem; Fragmentation (computing); Fishery; Population; Ecology; Predation; Aquatic ecosystem; Apex predator; Estuary; Biology; Geography; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002127806,0.0001189682,0.0001197689,0.0004417862,0.0002248964,0.000370012,0.0001641355,0.0001828175,0.0008368643],"category_scores_gemma":[0.001027423,0.0001156268,0.0001431397,0.0002040225,0.0002547622,0.0002086663,0.0003274107,0.0001486822,0.00008373037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003714423,"about_ca_system_score_gemma":0.0001698309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02716899,"about_ca_topic_score_gemma":0.08140343,"domain_scores_codex":[0.9999171,0.00001527406,0.000006918362,0.00002395223,0.00001271823,0.00002392114],"domain_scores_gemma":[0.9994749,0.00008259287,0.0002158342,0.00003374922,0.00005504033,0.0001378096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000131715,0.000007725042,0.9986701,0.000001388274,0.00001265249,0.00001631018,0.00008888294,0.00009462893,0.0006535093,0.000008112213,0.00001742373,0.0004161454],"study_design_scores_gemma":[4.795207e-7,0.000009312758,0.9996314,9.11155e-7,0.000003160916,0.00001822413,0.00009861486,0.0001962993,0.00002044452,0.00000553065,0.00001487376,6.648579e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999088,0.000009467391,0.000011861,0.000003124138,2.017635e-7,5.201948e-7,0.00002006243,5.925917e-7,0.00004531654],"genre_scores_gemma":[0.9998987,0.000006946233,0.00001737657,0.000002612463,3.081891e-7,0.000001013372,0.0000454233,2.931085e-7,0.00002735568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02716899,"threshold_uncertainty_score":0.05402172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01965669656892768,"score_gpt":0.2027552868594921,"score_spread":0.1830985902905644,"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."}}