{"id":"W2074386631","doi":"10.1111/j.1600-0587.2011.06875.x","title":"Common and rare species respond to similar niche processes in macroinvertebrate metacommunities","year":2011,"lang":"en","type":"article","venue":"Ecography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":209,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Niche; Ecology; Ecological niche; Metacommunity; Rare species; Biology; Biological dispersal; Habitat","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":[0.0007198698,0.0002320176,0.0004318672,0.001072588,0.0003847894,0.0006246995,0.0002921085,0.0004081927,0.0007158527],"category_scores_gemma":[0.003206165,0.0003125416,0.0004626375,0.0003964172,0.000808022,0.0005951755,0.001161057,0.0002850466,0.00008798528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002815628,"about_ca_system_score_gemma":0.0001532774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002898552,"about_ca_topic_score_gemma":0.0061772,"domain_scores_codex":[0.9991699,0.0002114897,0.00006292947,0.0003069227,0.0001243331,0.0001244521],"domain_scores_gemma":[0.9975988,0.0009354169,0.0007801824,0.0002539516,0.0001732443,0.0002583535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003987487,0.00009231792,0.8134282,0.0001401593,0.0005831762,0.0001791414,0.002398444,0.002090167,0.1652607,0.0005515487,0.00008246341,0.01479503],"study_design_scores_gemma":[0.000004449722,0.0000580566,0.9952517,0.000003977761,0.00002687613,0.0001291051,0.0003238856,0.002603639,0.001070488,0.0004418972,0.00007786901,0.000008153922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993717,0.00004133624,0.0003547742,0.000007651767,5.433571e-7,0.000002742167,0.0000210493,0.00000437484,0.0001957787],"genre_scores_gemma":[0.9996454,0.00001282611,0.0002546872,0.000008117758,9.530087e-7,0.000003337815,0.00003775448,0.000002457053,0.00003458099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002898552,"threshold_uncertainty_score":0.005763412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05325246011477853,"score_gpt":0.2363415329722139,"score_spread":0.1830890728574354,"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."}}