{"id":"W2940072816","doi":"10.1111/oik.05968","title":"Species richness change across spatial scales","year":2019,"lang":"en","type":"article","venue":"Oikos","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":269,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; McGill University Health Centre; McGill University; Memorial University of Newfoundland; University of British Columbia","funders":"Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Deutsche Forschungsgemeinschaft","keywords":"Species richness; Ecology; Geography; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008656256,0.0000658042,0.00008346511,0.000007179397,0.0001292751,0.00001096036,0.0001055698,0.0000428557,0.003097451],"category_scores_gemma":[0.00001092369,0.00005716599,0.00002550192,0.00006611831,0.0001409831,0.0001139996,0.0001616994,0.00005483715,0.005469628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000390086,"about_ca_system_score_gemma":0.000001054632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009891434,"about_ca_topic_score_gemma":0.002568837,"domain_scores_codex":[0.9994809,0.00001548157,0.00007112698,0.0001536591,0.00009856307,0.0001802424],"domain_scores_gemma":[0.9997951,0.00003233627,0.00003217782,0.0001122187,0.000004166435,0.00002393259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004466414,0.00002362468,0.9954325,0.000004551799,0.000005061055,0.000001726046,0.001134444,0.00004589331,0.0005005913,0.0003270268,0.0003155977,0.002204503],"study_design_scores_gemma":[0.0001452897,0.00002577213,0.9911001,0.000002515732,0.000002104963,0.00000132633,0.0002148187,0.0006717683,0.0001467781,0.0002591497,0.007347112,0.00008321975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958237,0.0000255923,0.000124749,0.0004264433,0.0003426263,0.000131894,0.000007712042,0.00002765938,0.04067636],"genre_scores_gemma":[0.988401,0.0000210172,0.00009812963,0.0003119233,0.00005747482,0.0000247531,0.00000414643,0.000004990271,0.0110766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.030164,"threshold_uncertainty_score":0.9978139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571603239211135,"score_gpt":0.2494921297370893,"score_spread":0.2337760973449779,"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."}}