{"id":"W7083689933","doi":"10.15468/dl.p3dc3h","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009695571,0.00186141,0.001406758,0.00461464,0.0008478084,0.002381396,0.002601769,0.001866687,0.1390538],"category_scores_gemma":[0.005879067,0.0008335388,0.001134708,0.008875251,0.0004162476,0.002119445,0.002296309,0.001864256,0.2050704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538134,"about_ca_system_score_gemma":0.002155597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02019105,"about_ca_topic_score_gemma":0.03295541,"domain_scores_codex":[0.9989111,0.0001563453,0.0001488992,0.0003578744,0.0002545367,0.0001712079],"domain_scores_gemma":[0.9976326,0.0005974181,0.0002259762,0.00064869,0.0006236196,0.0002715804],"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":[0.00002889037,0.00001121647,0.0003381382,0.000416142,0.00001355969,0.00001275864,0.00001787652,0.0001218573,0.00008941515,0.0003857323,0.9971883,0.00137622],"study_design_scores_gemma":[0.00007807353,0.000008428411,0.001872868,0.0001607208,0.00001243541,0.00003510653,0.00005754832,0.0001783709,0.000171803,0.0007902379,0.9966189,0.00001553228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004513879,0.00002590195,0.00004501417,0.0000379731,0.00001154225,0.000005674513,0.9988204,0.0003934384,0.0006149596],"genre_scores_gemma":[0.0001570957,0.00003056556,0.0001713571,0.00004696819,0.000003413848,0.00003523755,0.9990076,0.0001200748,0.000427642],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8609462,"threshold_uncertainty_score":0.4651814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03219542503915242,"score_gpt":0.2797442656630719,"score_spread":0.2475488406239195,"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."}}