{"id":"W2155334482","doi":"10.1890/08-0851.1","title":"Contrasts between habitat generalists and specialists: an empirical extension to the basic metacommunity framework","year":2009,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":688,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Metacommunity; Generalist and specialist species; Ecology; Habitat; Species richness; Context (archaeology); Biodiversity; Spatial variability; Geography; Population; Biology; Biological dispersal; Statistics; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004561867,0.0001133118,0.0002065714,0.00002461327,0.0005134497,0.0000179199,0.0002170288,0.0001322449,0.0003197197],"category_scores_gemma":[0.000253973,0.00008262521,0.00002746916,0.0001268067,0.0002573329,0.00009186735,0.0001710832,0.0002492451,0.0002082493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007078678,"about_ca_system_score_gemma":0.000005766213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005229372,"about_ca_topic_score_gemma":0.0142689,"domain_scores_codex":[0.9988799,0.0003624915,0.000169154,0.0002524058,0.00008288451,0.0002531591],"domain_scores_gemma":[0.9991504,0.0004160549,0.00004146335,0.0002735405,0.00001200897,0.0001065094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001614292,0.00007714381,0.9907013,6.783114e-7,0.00001553388,0.000008179914,0.001229645,0.0003496535,0.0001004592,0.001279183,0.003204513,0.003017591],"study_design_scores_gemma":[0.000127719,0.0003163344,0.9822956,0.000001378835,0.00002193364,0.000006254704,0.00007249326,0.0003227932,0.00001025292,0.01419615,0.002530139,0.00009900027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783013,0.00003926626,0.000724712,0.01934895,0.0001879394,0.000196871,0.000004705608,0.00002694303,0.001169318],"genre_scores_gemma":[0.9841064,0.0000180464,0.003191434,0.01240039,0.0001414945,0.00001210953,0.000007104687,0.00000507347,0.0001178977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0142166,"threshold_uncertainty_score":0.796238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02750525568518598,"score_gpt":0.3113884156293034,"score_spread":0.2838831599441174,"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."}}