{"id":"W2143018985","doi":"10.1034/j.1600-0706.2003.12074.x","title":"Adjacency arrangement effects on plant diversity and composition in woodland patches","year":2003,"lang":"en","type":"article","venue":"Oikos","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration","keywords":"Shrubland; Woodland; Species richness; Abundance (ecology); Vegetation (pathology); Grassland; Ecology; Plant community; Species diversity; Geography; Biology; Ecosystem","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000821951,0.00004499191,0.00005362857,0.00001333073,0.0002122852,0.000002523135,0.00002318507,0.00002234092,0.00006496011],"category_scores_gemma":[0.0000081547,0.00004015252,0.000007254734,0.00003271854,0.00003650437,0.00003407502,0.00007427935,0.00004205359,0.00004507028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004464414,"about_ca_system_score_gemma":6.474609e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004546084,"about_ca_topic_score_gemma":0.0004841768,"domain_scores_codex":[0.9996796,0.00004147743,0.00003995566,0.0001038131,0.00005526444,0.00007986802],"domain_scores_gemma":[0.9998719,0.00005627627,0.00001565451,0.00003671984,9.09645e-7,0.00001854442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009313517,0.00004559979,0.9977764,0.000006541202,0.000003892044,0.000007465502,0.0009545758,0.00009271453,0.0002512718,0.00034379,0.000104547,0.0004038756],"study_design_scores_gemma":[0.0003571144,0.00006844744,0.997956,0.00001013132,0.000004471523,9.860439e-7,0.00004390288,0.0001153795,0.0004490926,0.0008577131,0.00008550525,0.00005125995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920378,0.00002828772,0.00003329826,0.0001078472,0.00005196351,0.00009927959,0.000001650775,0.000006260185,0.007633572],"genre_scores_gemma":[0.9996125,0.00003913283,0.00008511708,0.0001815662,0.000002797508,0.000006885854,0.000002268001,0.000001298372,0.00006839947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007574693,"threshold_uncertainty_score":0.1637373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008113217977146106,"score_gpt":0.1932600578656148,"score_spread":0.1851468398884687,"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."}}