{"id":"W6943140531","doi":"10.15468/dl.n39kdt","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); Data set; 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":[0.001014142,0.002018821,0.001752232,0.005984567,0.0009701452,0.0026621,0.003029326,0.001960267,0.1769262],"category_scores_gemma":[0.006027569,0.000980963,0.001152284,0.01239859,0.0004504869,0.002281049,0.002545801,0.00194339,0.2171091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738087,"about_ca_system_score_gemma":0.002697863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02789055,"about_ca_topic_score_gemma":0.04069444,"domain_scores_codex":[0.9989341,0.0001275287,0.000137471,0.0003666908,0.0002455209,0.0001886782],"domain_scores_gemma":[0.9973903,0.0007045906,0.0002590173,0.0006565483,0.0006587561,0.0003308184],"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":[0.00003238024,0.0000101185,0.0003611357,0.0005391182,0.00001594488,0.00001496553,0.00002310702,0.000124764,0.0001193561,0.0003892125,0.9969805,0.001389362],"study_design_scores_gemma":[0.00007551302,0.000007345107,0.002171803,0.0001842659,0.00001629156,0.00003765064,0.00007000937,0.0001391732,0.0002013902,0.000721822,0.9963559,0.00001900969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000313431,0.00001955615,0.00003299136,0.00002550518,0.000008237188,0.000003718068,0.9990597,0.0003008262,0.000518184],"genre_scores_gemma":[0.000133973,0.00002654059,0.0001517847,0.00003347167,0.000002695992,0.00003026822,0.9990748,0.0001349575,0.0004115594],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8230738,"threshold_uncertainty_score":0.591877,"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."}}