{"id":"W6924734522","doi":"10.15468/dl.rsixot","title":"Occurrence Download","year":2017,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Herbarium; Range (aeronautics); Data set","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001071126,0.001990498,0.001640847,0.006031923,0.0009103059,0.002736907,0.002825786,0.001887927,0.1799845],"category_scores_gemma":[0.006548832,0.0008855698,0.001227811,0.01113654,0.0004265726,0.00253596,0.002941421,0.001934884,0.2595522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153494,"about_ca_system_score_gemma":0.002523212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01901683,"about_ca_topic_score_gemma":0.03335559,"domain_scores_codex":[0.9988311,0.0001597495,0.0001494609,0.000403862,0.0002602744,0.0001955789],"domain_scores_gemma":[0.9971381,0.0007438677,0.0002761722,0.0007461451,0.0007563998,0.0003393292],"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":[0.00002733767,0.000008575217,0.0003091052,0.0005332777,0.0000152768,0.00001203822,0.00001914677,0.00009748315,0.0001034548,0.0003499481,0.9970702,0.001454093],"study_design_scores_gemma":[0.0000606488,0.000007537215,0.001593093,0.0001994209,0.00001438514,0.00003174473,0.00005764125,0.000111711,0.0001639368,0.0007296495,0.9970142,0.00001598161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003463488,0.00003010482,0.00004401053,0.00003234087,0.00001181847,0.000005264575,0.9988263,0.0003707789,0.0006446475],"genre_scores_gemma":[0.0001376457,0.00003776798,0.0001767981,0.00004454703,0.00000394129,0.00003686786,0.9989398,0.0001503191,0.0004723015],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8200155,"threshold_uncertainty_score":0.6021081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}