{"id":"W6905686520","doi":"10.15468/dl.tvz797","title":"Occurrence Download","year":2020,"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); Range (aeronautics); Order (exchange); 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":[0.0009800573,0.001859979,0.001555274,0.005942176,0.0009042753,0.002350958,0.002740656,0.001784319,0.1694313],"category_scores_gemma":[0.005628244,0.0008981687,0.001148805,0.011037,0.0004315287,0.002196981,0.002621461,0.001884886,0.226861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001717961,"about_ca_system_score_gemma":0.002872941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02924425,"about_ca_topic_score_gemma":0.04908334,"domain_scores_codex":[0.998897,0.0001297314,0.0001387167,0.0003628131,0.0002723777,0.0001994107],"domain_scores_gemma":[0.9972063,0.0006436844,0.0002605045,0.0007323987,0.0007855142,0.0003715928],"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":[0.00003174637,0.000009358819,0.0003471546,0.0005339051,0.00001487952,0.00001314335,0.00002114,0.0001102942,0.000141101,0.0003498102,0.9968652,0.001562174],"study_design_scores_gemma":[0.00005766343,0.000007279952,0.002014433,0.0001678909,0.00001320645,0.00003153987,0.00006100034,0.000110973,0.0002002812,0.0005628178,0.996756,0.00001693101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003305985,0.0000214939,0.00003265055,0.0000266167,0.00000920096,0.000004514604,0.9989802,0.0003215617,0.0005706668],"genre_scores_gemma":[0.0001389089,0.00002980999,0.0001638334,0.0000352581,0.000002984372,0.00003105228,0.9990172,0.0001254342,0.0004555104],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8305687,"threshold_uncertainty_score":0.5668041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}