{"id":"W6962150243","doi":"10.15468/dl.u5nc97","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); Confidentiality","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":[0.0009130551,0.00183745,0.001470904,0.004827437,0.0009274738,0.002488933,0.002650841,0.001829883,0.1530432],"category_scores_gemma":[0.006007142,0.0008423236,0.001174556,0.00977856,0.0004337764,0.002321819,0.002507342,0.001856455,0.2213565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603599,"about_ca_system_score_gemma":0.002544643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02795034,"about_ca_topic_score_gemma":0.04432079,"domain_scores_codex":[0.9990197,0.0001267142,0.0001239449,0.000341891,0.0002207614,0.0001669003],"domain_scores_gemma":[0.9976417,0.0006362436,0.000216323,0.0006152111,0.0006129605,0.0002776226],"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":[0.00002588605,0.000009499952,0.0003798383,0.0004682668,0.00001336393,0.00001350136,0.00002263647,0.0001196945,0.00009203706,0.0003363415,0.9971227,0.001396299],"study_design_scores_gemma":[0.00006577349,0.000008559322,0.002083071,0.0001926594,0.00001446773,0.00003676359,0.00008725689,0.0001777125,0.0001861667,0.000758195,0.9963712,0.00001811065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003904845,0.00002397627,0.00003997915,0.00003562744,0.00001202299,0.000004763544,0.9988619,0.0003922926,0.0005903187],"genre_scores_gemma":[0.0001552662,0.00003049988,0.0001746373,0.00004118798,0.000003405333,0.00003489336,0.9989347,0.0001343959,0.0004909297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8469568,"threshold_uncertainty_score":0.5119805,"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."}}