{"id":"W6892082128","doi":"10.5063/f1f47mkk","title":"A GBIF endangered species diversity analysis of burn sites in the Southwestern, USA","year":2021,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Endangered species; Biodiversity; Species diversity; Global biodiversity; Diversity (politics); Species richness","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006978508,0.0007650338,0.0006113528,0.003824867,0.0006061901,0.0007415702,0.001216014,0.0005577517,0.0148049],"category_scores_gemma":[0.002233512,0.0003601103,0.0005341659,0.00602447,0.0001838861,0.0005513156,0.0008580487,0.000719604,0.008738831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008810003,"about_ca_system_score_gemma":0.001498955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.119851,"about_ca_topic_score_gemma":0.1789914,"domain_scores_codex":[0.9994364,0.00006013119,0.00006625745,0.0001665123,0.0001716257,0.00009892093],"domain_scores_gemma":[0.9980623,0.0002773484,0.0003613585,0.0002368975,0.0008316847,0.000230403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001061839,0.00006124689,0.03369763,0.0004007749,0.00009221145,0.0000652689,0.0001156168,0.0009793829,0.0002245769,0.0004419077,0.9571017,0.006713563],"study_design_scores_gemma":[0.0002764639,0.00004584094,0.3747117,0.0005833764,0.00009842286,0.0001675195,0.0006644414,0.002393878,0.0006708032,0.0007123897,0.6196156,0.00005963297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00367241,0.00004934576,0.00004740157,0.00003307201,0.000008890385,0.000007805556,0.9951677,0.00007983823,0.0009334573],"genre_scores_gemma":[0.003098507,0.00002831819,0.0002071875,0.00001880437,0.000004168612,0.00003924118,0.9961647,0.00002287087,0.0004162141],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.119851,"threshold_uncertainty_score":0.2383069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04560186313119954,"score_gpt":0.2749551924858444,"score_spread":0.2293533293546448,"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."}}