{"id":"W6962267430","doi":"10.15468/dl.zxf6ft","title":"Occurrence Download","year":2021,"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); Set (abstract data type); 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":[0.001050993,0.001967916,0.001677883,0.005028042,0.0009354544,0.002537542,0.002807458,0.002109224,0.1580481],"category_scores_gemma":[0.0064893,0.0009144765,0.00118701,0.009958867,0.0004348764,0.00227837,0.002423552,0.001959403,0.2139107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555752,"about_ca_system_score_gemma":0.002269506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02008965,"about_ca_topic_score_gemma":0.03203005,"domain_scores_codex":[0.9989047,0.0001518489,0.0001499507,0.0003746248,0.0002415963,0.0001773275],"domain_scores_gemma":[0.9973231,0.0007833155,0.0002507607,0.0006824135,0.0006585653,0.0003019572],"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":[0.00003211359,0.00001219777,0.0004022964,0.0006089787,0.00001663307,0.00001559164,0.00002228316,0.0001400748,0.0001200902,0.0003721718,0.9968249,0.001432731],"study_design_scores_gemma":[0.00008857904,0.000009769621,0.0021011,0.000218738,0.00001650284,0.00003936696,0.00006887275,0.0001683076,0.0001893424,0.0007942768,0.9962859,0.00001914991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003752051,0.00002555309,0.00003665687,0.00003132796,0.00001024436,0.000004990084,0.9990607,0.000297001,0.0004960839],"genre_scores_gemma":[0.0001496014,0.00003178886,0.0001649835,0.00004068013,0.000003351103,0.00004046909,0.9990803,0.0001147034,0.0003741487],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8419519,"threshold_uncertainty_score":0.5287235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}