{"id":"W2758433918","doi":"10.1111/oik.04620","title":"Checkerboard score–area relationships reveal spatial scales of plant community structure","year":2017,"lang":"en","type":"article","venue":"Oikos","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Algoma University; Queen's University; University of Alberta; University of Saskatchewan","funders":"","keywords":"Quadrat; Tundra; Boreal; Sampling (signal processing); Ecology; Grassland; Community structure; Spatial ecology; Taiga; Physical geography; Plant community; Geography; Scale (ratio); Common spatial pattern; Environmental science; Arctic; Forestry; Biology; Ecological succession; Shrub; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001085289,0.0002519351,0.0003745331,0.002190317,0.000361425,0.001144408,0.0003761895,0.0005040118,0.002296664],"category_scores_gemma":[0.01087981,0.0002263556,0.0003453452,0.001738363,0.0008500873,0.001229151,0.0009191345,0.0004727819,0.0002761679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003846759,"about_ca_system_score_gemma":0.0001878209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004301691,"about_ca_topic_score_gemma":0.005151103,"domain_scores_codex":[0.999385,0.0001736267,0.00004016388,0.0001925779,0.0001157881,0.00009277592],"domain_scores_gemma":[0.9847401,0.009691225,0.002995555,0.0009554618,0.0008687772,0.0007488645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004754974,0.00007554139,0.9272313,0.00008865658,0.0003015852,0.0002229194,0.0007916387,0.0256139,0.01759045,0.002505877,0.0005420285,0.02456059],"study_design_scores_gemma":[0.00001345802,0.0001131615,0.9185365,0.000007406556,0.0000313693,0.0002030637,0.0002783801,0.07609787,0.001505456,0.002839199,0.0003414704,0.00003265001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947934,0.00005574093,0.004032301,0.00001708779,0.000001652809,0.000005395781,0.0002058385,0.00008533035,0.000803354],"genre_scores_gemma":[0.9986987,0.000008588043,0.001074835,0.000003269822,0.000001541825,0.000003241763,0.0001260697,0.000009109575,0.00007465418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004301691,"threshold_uncertainty_score":0.008553326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03696510320316271,"score_gpt":0.2519194105378583,"score_spread":0.2149543073346956,"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."}}