{"id":"W4383665084","doi":"10.1111/jbi.14680","title":"The Global Biogeography Initiative","year":2023,"lang":"en","type":"article","venue":"Journal of Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biogeography; Diversity (politics); Geography; Ask price; Ecology; Evolutionary biology; Biology; Sociology; Anthropology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005164518,0.0001074755,0.0001228582,0.0001026769,0.0003015921,0.00007899396,0.0003763057,0.00004980505,0.003232888],"category_scores_gemma":[0.00005065089,0.00006671142,0.0003790837,0.002847712,0.0004143888,0.0001531058,0.0001225481,0.0001121006,0.0007292639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009502222,"about_ca_system_score_gemma":0.000007985136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003775244,"about_ca_topic_score_gemma":0.00008322494,"domain_scores_codex":[0.9987572,0.00005745835,0.0003045406,0.0001066806,0.0004723834,0.0003017779],"domain_scores_gemma":[0.9993349,0.00007778247,0.0002602489,0.0001467413,0.00004310794,0.0001372615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004762505,0.00005843658,0.891661,0.000001871136,0.00008399217,0.0000330307,0.00008373921,0.000003935944,0.0003240872,0.001412029,0.1017793,0.004510947],"study_design_scores_gemma":[0.0002316217,0.0001111278,0.7281581,0.000005485691,0.00001750413,0.0000242857,0.001641938,0.000002975063,0.0001574461,0.002505875,0.2670659,0.00007786507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583116,0.0005824459,0.00002497358,0.003948894,0.0008225186,0.0001022144,0.000213504,0.00005845534,0.03593545],"genre_scores_gemma":[0.9972209,0.002091287,0.0000333007,0.0005277905,0.00007912061,0.000004293227,0.00001452131,0.000006669862,0.00002208529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1652865,"threshold_uncertainty_score":0.9976783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327325671168587,"score_gpt":0.2599915513686436,"score_spread":0.2367182946569577,"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."}}