{"id":"W6943286633","doi":"10.15468/dl.k79err","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); 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":[0.0008766163,0.001981994,0.001634868,0.005159956,0.001094264,0.002870338,0.002906663,0.002170831,0.1572974],"category_scores_gemma":[0.005781907,0.0009403663,0.001471635,0.009847568,0.0004421675,0.002574691,0.002722285,0.002069098,0.2375149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564405,"about_ca_system_score_gemma":0.002297909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0188134,"about_ca_topic_score_gemma":0.03097842,"domain_scores_codex":[0.9989367,0.0001468287,0.0001373943,0.0003949522,0.0002078007,0.0001762674],"domain_scores_gemma":[0.9977657,0.0006106787,0.0001874786,0.0006291685,0.0005575783,0.0002494936],"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":[0.00003194058,0.0000117444,0.0004151805,0.0006678005,0.00001727867,0.00001758981,0.0000246637,0.0001267916,0.000129445,0.0003764589,0.9963665,0.00181466],"study_design_scores_gemma":[0.00006616823,0.000009034293,0.001708671,0.0002132487,0.00001647287,0.00004491986,0.00007351476,0.0001775407,0.0001882593,0.0007813297,0.9967039,0.00001687611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005445793,0.00004622468,0.00005703714,0.00004719566,0.00001645028,0.000006922407,0.9984314,0.0005358616,0.0008044858],"genre_scores_gemma":[0.0001750082,0.00004672997,0.0002238929,0.00006090031,0.000004433557,0.00004524532,0.9987543,0.0001629851,0.0005266084],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8427026,"threshold_uncertainty_score":0.5262121,"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."}}