{"id":"W2116377092","doi":"10.1111/j.0030-1299.2004.12754.x","title":"Context and connectivity in plant metapopulations and landscape mosaics: does the matrix matter?","year":2004,"lang":"en","type":"article","venue":"Oikos","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":232,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Metapopulation; Ecology; Biological dispersal; Landscape ecology; Habitat; Context (archaeology); Population; Landscape epidemiology; Landscape connectivity; Biology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007130073,0.00005652073,0.00008795186,0.000003898263,0.000152971,0.00003683989,0.00003810486,0.00002247789,0.0000364219],"category_scores_gemma":[0.00001087432,0.00001406864,0.00001284086,0.00005250581,0.00003780958,0.00004515372,0.00003676866,0.0000446767,0.000007749092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000370653,"about_ca_system_score_gemma":9.617103e-7,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009651669,"about_ca_topic_score_gemma":0.03094229,"domain_scores_codex":[0.9996812,0.00001756751,0.00006237971,0.0001026526,0.00004341966,0.00009281494],"domain_scores_gemma":[0.9998298,0.0001159211,0.00001979859,0.000009105164,0.000005322595,0.00002010828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000258512,0.00003270988,0.9721798,0.000005383067,0.00001362633,0.000006391857,0.0003404648,0.000002180542,0.01401384,0.005745821,0.0002616567,0.007372248],"study_design_scores_gemma":[0.0001275297,0.00002957262,0.9924721,0.00001069114,0.000005643598,0.00001145288,0.0008342112,0.00001909141,0.00018037,0.003020596,0.003227613,0.00006112797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945575,0.000793225,4.37634e-7,0.004172716,0.00001453518,0.0000768998,0.00008805117,0.00001058907,0.000286073],"genre_scores_gemma":[0.9995601,0.0001473979,0.000008208148,0.0001597594,0.00003717123,0.000006728763,0.000007464074,2.344075e-7,0.00007289894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02997713,"threshold_uncertainty_score":0.9867405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02381132927912569,"score_gpt":0.2162259856465307,"score_spread":0.192414656367405,"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."}}