{"id":"W6924242881","doi":"10.15468/dl.7qkmq5","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Climate Change and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001681862,0.0003050916,0.0002093407,0.00003713077,0.00017967,0.0001603867,0.0004338479,0.0002755611,0.04526011],"category_scores_gemma":[0.00002970804,0.00028766,0.0001558315,0.0002722202,0.0002807474,0.0009899733,0.0009645093,0.0002766442,0.9455347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009661273,"about_ca_system_score_gemma":0.00001368118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001143177,"about_ca_topic_score_gemma":0.00006533165,"domain_scores_codex":[0.998538,0.00002802353,0.0002865905,0.0002802037,0.0005232432,0.0003439013],"domain_scores_gemma":[0.9992197,0.000009613134,0.0001290534,0.0004303334,0.000006325377,0.0002049439],"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":[0.00001760365,0.00003299351,0.002442987,0.0000854961,0.00001500842,0.000006756092,0.0000610398,0.00001989843,3.417388e-7,3.257697e-9,0.9959089,0.001408968],"study_design_scores_gemma":[0.0001260442,0.00003690388,0.0003146625,0.00000312099,0.00006288793,0.0000100274,0.0001252353,2.685526e-7,0.000003864101,0.000001529198,0.9990157,0.0002997487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002603413,0.00002095137,3.693623e-7,0.0001597824,0.0005345482,0.00023825,0.9955194,0.00008023238,0.0008430778],"genre_scores_gemma":[0.00003361404,0.0001839911,6.092664e-7,0.0006803393,0.000001589098,0.000003886365,0.9990955,2.168172e-8,4.284327e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9002746,"threshold_uncertainty_score":0.9999576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02107106493014851,"score_gpt":0.2267993422760847,"score_spread":0.2057282773459362,"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."}}