{"id":"W6942987111","doi":"10.15468/dl.pvnzpy","title":"Occurrence Download","year":2023,"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); Alien; Species name","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":[0.001027202,0.001878157,0.00152834,0.005081753,0.0009746631,0.00247297,0.002732614,0.002045457,0.1436511],"category_scores_gemma":[0.005903816,0.0008744698,0.001184972,0.009938469,0.0004531967,0.002181012,0.002378362,0.001964074,0.2012026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634707,"about_ca_system_score_gemma":0.002404115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02313345,"about_ca_topic_score_gemma":0.03723823,"domain_scores_codex":[0.9989354,0.0001467216,0.0001366068,0.0003657488,0.0002400585,0.0001754643],"domain_scores_gemma":[0.9973397,0.0007853305,0.0002514375,0.0006846278,0.0006517248,0.000287097],"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":[0.00002978315,0.00001285431,0.000422516,0.000554612,0.00001499669,0.00001578516,0.00002408222,0.0001349477,0.0001288142,0.0003847615,0.9967991,0.001477637],"study_design_scores_gemma":[0.00007204724,0.00000922077,0.002207045,0.0001969862,0.000014731,0.00003797415,0.00007900656,0.0001488807,0.0002028854,0.0007409264,0.9962718,0.00001847302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004386656,0.0000251389,0.00004035111,0.00003428215,0.00001094584,0.000004986575,0.9989514,0.0003165005,0.0005724053],"genre_scores_gemma":[0.0001640935,0.00003161647,0.0001826368,0.00004038585,0.00000327513,0.00004020485,0.9989669,0.0001215651,0.0004492507],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8563489,"threshold_uncertainty_score":0.4805607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}