{"id":"W7037685807","doi":"","title":"Elements of the metacommunity structure : comparison across multiple metacommunities","year":2011,"lang":"fr","type":"other","venue":"Archipelago (Université du Québec à Montréal)","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metacommunity; Distribution (mathematics); ESPACE; Nestedness; Statistical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009033323,0.0002592697,0.0003887484,0.005075807,0.0007370906,0.001252899,0.0004076687,0.0003068141,0.00151927],"category_scores_gemma":[0.004026148,0.0001942002,0.0004464489,0.003874859,0.0004677672,0.0007270991,0.001366282,0.0002314842,0.0002463127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269336,"about_ca_system_score_gemma":0.001310393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09063634,"about_ca_topic_score_gemma":0.214193,"domain_scores_codex":[0.9988149,0.0001348235,0.0001199371,0.0002383795,0.0005044728,0.0001875417],"domain_scores_gemma":[0.9967942,0.0007691165,0.0008039149,0.0002900923,0.000963572,0.0003791756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001615569,0.00002332999,0.9532523,0.0002085446,0.0003133446,0.0000503775,0.001515592,0.0006478567,0.01237716,0.0003644594,0.000361989,0.03072353],"study_design_scores_gemma":[0.000004272891,0.00004149871,0.9952434,0.00002070043,0.00005787165,0.0000677233,0.0007709487,0.001373079,0.0008141571,0.0001443179,0.001453866,0.000008239763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890437,0.0005084815,0.0043125,0.00005186516,0.000005332872,0.00006450577,0.003015847,0.00004963301,0.002948048],"genre_scores_gemma":[0.9899651,0.0001779501,0.006056924,0.00001963289,0.000006659116,0.0000764252,0.002853774,0.00001109662,0.0008324909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09063634,"threshold_uncertainty_score":0.1802176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856929496241459,"score_gpt":0.1896231577740984,"score_spread":0.1710538628116838,"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."}}