{"id":"W2022272860","doi":"10.1016/j.tree.2011.03.009","title":"Dark diversity: adding the grey","year":2011,"lang":"en","type":"letter","venue":"Trends in Ecology & Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Diversity (politics); Perspective (graphical); Geography; Ecology; Computer science; Biology; Sociology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000236785,0.0002051792,0.0002073494,0.0001268946,0.0003927442,0.00001398731,0.0005290084,0.0006156011,0.1094372],"category_scores_gemma":[0.0000279793,0.0001683102,0.0001058361,0.0003891867,0.0004410215,0.0001207434,0.000887786,0.0009153371,0.002948366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002436798,"about_ca_system_score_gemma":0.000007351355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001091074,"about_ca_topic_score_gemma":0.008011011,"domain_scores_codex":[0.9985141,0.0001580883,0.000197862,0.0003998411,0.0002278887,0.0005021858],"domain_scores_gemma":[0.9994123,0.00006119064,0.0001500606,0.0003377662,0.000007737376,0.00003095518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000005712001,0.0000227507,0.189962,0.000002063651,0.000008728289,0.00002770366,0.0001571422,0.000002624721,0.000003377998,0.0001021027,0.8090467,0.0006591176],"study_design_scores_gemma":[0.0001440629,0.00003044603,0.6385606,0.000003310166,0.00002749587,0.00001062589,0.0001168803,0.00001145054,0.000001062722,0.0002852221,0.3606788,0.0001300453],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1595878,0.0001300027,0.00001953076,0.3080788,0.002987581,0.0003186926,0.0003355648,0.0001812881,0.5283608],"genre_scores_gemma":[0.8304993,0.00006962831,0.00002143399,0.1515359,0.0005225481,0.00007370234,0.001146955,0.00002977095,0.0161007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6709116,"threshold_uncertainty_score":0.9978279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04012464835588006,"score_gpt":0.2422250793542243,"score_spread":0.2021004309983443,"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."}}