{"id":"W2172188999","doi":"10.1890/12-0683.1","title":"A community of metacommunities: exploring patterns in species distributions across large geographical areas","year":2012,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Université du Québec à Montréal","funders":"Groupe de recherche interuniversitaire en limnologie; Canada Research Chairs; Ministry of Natural Resources","keywords":"Metacommunity; Ecology; Spatial ecology; Community; Distance decay; Biological dispersal; Biology; Geography; Ecosystem; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007250333,0.0002868721,0.0004266129,0.003939535,0.001084505,0.0009701845,0.0005046831,0.0003454414,0.0005826778],"category_scores_gemma":[0.004203068,0.0002280859,0.0004596256,0.003487802,0.001053357,0.001070863,0.001415277,0.0003628508,0.00009099725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545453,"about_ca_system_score_gemma":0.001231072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2200517,"about_ca_topic_score_gemma":0.3629088,"domain_scores_codex":[0.9993681,0.0001366556,0.0000406931,0.0002116808,0.0001384844,0.0001044119],"domain_scores_gemma":[0.9980939,0.0006116733,0.0006225534,0.0002197712,0.0002394238,0.0002127949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005060491,0.00001492544,0.972592,0.00007565903,0.0001948363,0.0001030977,0.001164539,0.002457496,0.00334038,0.0006155774,0.0003043629,0.01908649],"study_design_scores_gemma":[0.00000590424,0.00002590536,0.9817223,0.00002250572,0.00004745786,0.0001475668,0.001417859,0.01333182,0.0003409528,0.001564567,0.001360777,0.00001235051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925223,0.0003097347,0.005833933,0.0000822094,0.000001953683,0.00002181494,0.000597334,0.00003582927,0.0005948202],"genre_scores_gemma":[0.9927765,0.000105846,0.006376063,0.0000199852,0.000003004585,0.00002416384,0.0005735533,0.000005669185,0.0001152893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2200517,"threshold_uncertainty_score":0.4375417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05086976146795992,"score_gpt":0.285253358340974,"score_spread":0.2343835968730141,"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."}}