{"id":"W6887183752","doi":"10.15468/dl.tr7n6u","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); Confidentiality; 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":[0.001019106,0.001891002,0.001565558,0.005128369,0.0008891171,0.002455442,0.002883712,0.001906983,0.1916658],"category_scores_gemma":[0.006131432,0.000940007,0.001088555,0.01025103,0.0004450765,0.002337044,0.002438313,0.001854819,0.2380597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660877,"about_ca_system_score_gemma":0.002291074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02472863,"about_ca_topic_score_gemma":0.03581992,"domain_scores_codex":[0.9990155,0.0001276509,0.0001259158,0.0003308191,0.0002304084,0.0001697494],"domain_scores_gemma":[0.9974217,0.0006968828,0.0002449473,0.0006572845,0.0006661057,0.0003130705],"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":[0.00002568032,0.000009133278,0.0003049946,0.0004286364,0.00001232309,0.00001160385,0.00001908927,0.0001104822,0.00008300664,0.0003281345,0.997345,0.001321826],"study_design_scores_gemma":[0.00006869451,0.000007193004,0.001955231,0.0001739927,0.0000134384,0.00003365917,0.00006726447,0.0001513345,0.0001763012,0.0007124047,0.9966239,0.00001664931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003154784,0.00002125588,0.00003495876,0.00003109664,0.000009590382,0.000004130468,0.9989741,0.000309374,0.0005839739],"genre_scores_gemma":[0.000146784,0.00002866932,0.000162002,0.00003898131,0.000003205012,0.00003411846,0.9989415,0.0001373223,0.0005074579],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8083342,"threshold_uncertainty_score":0.6411861,"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."}}