{"id":"W2026488269","doi":"10.1111/oik.02277","title":"A conceptual framework for the spatial analysis of functional trait diversity","year":2015,"lang":"en","type":"article","venue":"Oikos","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Lakehead University","funders":"","keywords":"Trait; Spatial ecology; Ecology; Species evenness; Biological dispersal; Spatial analysis; Spatial variability; Species richness; Scale (ratio); Spatial heterogeneity; Biology; Geography; Statistics; Cartography; Computer science; Mathematics","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":[0.003872881,0.001400438,0.001129261,0.006187974,0.001151728,0.004258249,0.002886276,0.001528469,0.004944224],"category_scores_gemma":[0.008323501,0.0005284305,0.002473208,0.006859852,0.005070616,0.003853646,0.002509659,0.001876002,0.0007505869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002204937,"about_ca_system_score_gemma":0.001601702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00949171,"about_ca_topic_score_gemma":0.004471964,"domain_scores_codex":[0.997952,0.0008744907,0.0001295235,0.0005793193,0.0003189164,0.0001456458],"domain_scores_gemma":[0.9953301,0.002804753,0.0006943399,0.0004197239,0.000554699,0.0001964499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002127734,0.00002675366,0.00515021,0.0002099688,0.0001516281,0.0002070625,0.0007488256,0.01593015,0.001178369,0.9322625,0.001760858,0.04235233],"study_design_scores_gemma":[0.0000152333,0.00005894256,0.007109904,0.0001271276,0.00004914377,0.0003304841,0.0003830609,0.0699732,0.0002471277,0.8933789,0.02827666,0.00005024335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007212534,0.002086914,0.9815097,0.001407043,0.00009469433,0.0000799729,0.0005740225,0.0001989968,0.006836125],"genre_scores_gemma":[0.2917318,0.002927325,0.6969401,0.001020332,0.0005792934,0.001283451,0.001001183,0.0001698184,0.004346706],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00949171,"threshold_uncertainty_score":0.020482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03619007630381348,"score_gpt":0.2510782565981702,"score_spread":0.2148881802943567,"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."}}