{"id":"W6942992168","doi":"10.15468/dl.mp28z3","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); 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":[0.001065952,0.001846867,0.001596259,0.005606127,0.0008237506,0.002354201,0.002632793,0.001877622,0.1647131],"category_scores_gemma":[0.006234383,0.0008796854,0.001115021,0.01144344,0.0004194137,0.002186685,0.002273176,0.001767705,0.2030587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545307,"about_ca_system_score_gemma":0.002239346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0214289,"about_ca_topic_score_gemma":0.03165899,"domain_scores_codex":[0.9989275,0.000142196,0.0001553073,0.0003493087,0.0002441329,0.0001815661],"domain_scores_gemma":[0.9972529,0.0007721919,0.0002819481,0.0006754712,0.0006942864,0.0003232455],"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":[0.0000351902,0.00001132811,0.0004387671,0.0005954115,0.00001662326,0.00001562467,0.0000214418,0.0001470935,0.0001209237,0.000376774,0.9966723,0.001548537],"study_design_scores_gemma":[0.00007917768,0.000009236716,0.002450191,0.0002116447,0.00001577087,0.00003909478,0.00006921872,0.0001550199,0.0001906548,0.0007013397,0.9960598,0.00001876577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003427771,0.0000213367,0.00002925506,0.00002686309,0.000008677256,0.000003833186,0.9992003,0.0002247113,0.0004507568],"genre_scores_gemma":[0.000150161,0.0000296691,0.0001384656,0.00003563988,0.000003236982,0.00003267743,0.999127,0.00009576052,0.0003873544],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8352869,"threshold_uncertainty_score":0.5510201,"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."}}