{"id":"W6886910390","doi":"10.15468/dl.4mfcuy","title":"Occurrence Download","year":2025,"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); Missing data","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":[0.000962334,0.001950476,0.001610286,0.005101275,0.001050071,0.002698868,0.002818355,0.002093102,0.1884824],"category_scores_gemma":[0.006448872,0.0009153412,0.001167332,0.009972049,0.0004415092,0.002514574,0.002664315,0.002038783,0.2475763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001726466,"about_ca_system_score_gemma":0.002530179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02539392,"about_ca_topic_score_gemma":0.03921856,"domain_scores_codex":[0.9989721,0.0001325145,0.0001325206,0.0003496026,0.0002360849,0.0001772456],"domain_scores_gemma":[0.9975132,0.0007234973,0.0002189059,0.000611309,0.0006540362,0.0002790515],"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":[0.0000252349,0.000009091235,0.0003024535,0.0004933126,0.00001203822,0.00001431326,0.00002265718,0.0001005316,0.0001012725,0.0003784018,0.9972149,0.001325953],"study_design_scores_gemma":[0.00006316551,0.000006843625,0.00150088,0.0002000565,0.00001301775,0.00003527471,0.00007485111,0.0001348427,0.0001783009,0.0007734669,0.9970023,0.00001696931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003449825,0.00002629918,0.00004512014,0.00003971962,0.00001259079,0.000005163308,0.9987191,0.0004130761,0.0007045224],"genre_scores_gemma":[0.0001543113,0.00003675505,0.0002031392,0.00005025891,0.000003561276,0.00004152119,0.9987937,0.0001823787,0.0005343338],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8115175,"threshold_uncertainty_score":0.6305366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}