{"id":"W2061192713","doi":"10.1890/11-1183.1","title":"Community ecology in the age of multivariate multiscale spatial analysis","year":2012,"lang":"en","type":"article","venue":"Ecological Monographs","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":678,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; University of Alberta; Université de Montréal; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Ecology; Spatial ecology; Multivariate statistics; Context (archaeology); Spatial variability; Community; Population; Spatial analysis; Spatial heterogeneity; Geography; Habitat; Biology; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005327102,0.0005797808,0.001145292,0.003631137,0.0004386274,0.002559793,0.0009692929,0.0005295219,0.00193784],"category_scores_gemma":[0.01549588,0.000497765,0.001192966,0.002371352,0.002800233,0.003772018,0.00242143,0.001848116,0.0001926133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008855158,"about_ca_system_score_gemma":0.0006230316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003560154,"about_ca_topic_score_gemma":0.003462669,"domain_scores_codex":[0.9978364,0.001384914,0.00009965162,0.000323228,0.0002786158,0.0000771605],"domain_scores_gemma":[0.990478,0.006300981,0.0007218457,0.001552182,0.0006425201,0.000304435],"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":[0.00005009577,0.00003610718,0.01732535,0.0003564014,0.0004119676,0.0001538891,0.001030936,0.06960607,0.00340182,0.7479798,0.002416724,0.1572308],"study_design_scores_gemma":[0.000009212073,0.00002612721,0.01177258,0.00006840457,0.00004351162,0.00009853856,0.0002312517,0.269441,0.0003322535,0.7091372,0.008796658,0.00004319121],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02218883,0.002804117,0.9710599,0.0009747521,0.00006775327,0.00003840504,0.0002086377,0.0002560694,0.002401549],"genre_scores_gemma":[0.438287,0.003472647,0.5554959,0.0003223616,0.0004023162,0.0002163074,0.0002916102,0.000201162,0.001310758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005327102,"threshold_uncertainty_score":0.02817279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02323753101548576,"score_gpt":0.2705353301917845,"score_spread":0.2472977991762987,"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."}}