{"id":"W6962631363","doi":"10.15468/dl.uxamgz","title":"Occurrence Download","year":2022,"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)","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":[0.001009078,0.001919321,0.001511864,0.005632756,0.0009452155,0.002422323,0.002581119,0.001783713,0.1815948],"category_scores_gemma":[0.005919562,0.0009187068,0.0011013,0.01044303,0.0004387305,0.002284385,0.002767237,0.001871501,0.2473183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001512457,"about_ca_system_score_gemma":0.002293167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0202054,"about_ca_topic_score_gemma":0.03632324,"domain_scores_codex":[0.9989079,0.0001366614,0.000139217,0.0003750404,0.0002522615,0.0001889324],"domain_scores_gemma":[0.9974139,0.0006754798,0.0002486054,0.0006815978,0.0006608308,0.0003194882],"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":[0.00002863527,0.00000994532,0.0003547268,0.0004981862,0.00001374131,0.00001419382,0.00002226787,0.0001012846,0.0001285451,0.0003591799,0.9970788,0.001390671],"study_design_scores_gemma":[0.00006182848,0.000007320678,0.001892322,0.0001675925,0.00001244716,0.00003500837,0.00006443054,0.0001087139,0.0001876672,0.0006362861,0.9968109,0.00001561133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003585828,0.00002100038,0.00003965049,0.00002650702,0.00001064734,0.000004900226,0.9988909,0.0003328569,0.0006377011],"genre_scores_gemma":[0.0001361508,0.00002723184,0.0001754673,0.00003553535,0.000003420905,0.00003667505,0.9989994,0.0001477992,0.0004383935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8184052,"threshold_uncertainty_score":0.6074951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}