{"id":"W6905644049","doi":"10.15468/dl.6zy8fj","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); Data set; The Internet","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":[0.001043097,0.001916678,0.001606196,0.006015952,0.001006976,0.002733533,0.002689889,0.001931841,0.1736076],"category_scores_gemma":[0.006167422,0.0009224851,0.001183245,0.01152042,0.0004588348,0.002401325,0.002693004,0.001930105,0.2405265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677284,"about_ca_system_score_gemma":0.002626239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02350624,"about_ca_topic_score_gemma":0.03877701,"domain_scores_codex":[0.9988317,0.0001561836,0.0001594899,0.000390104,0.0002569299,0.0002056623],"domain_scores_gemma":[0.997241,0.000740163,0.0002778567,0.0006802943,0.0007300706,0.0003306298],"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":[0.00003100647,0.000009724756,0.0003512343,0.0006115119,0.00001547675,0.00001450751,0.00002306872,0.0001029956,0.0001217838,0.0004120005,0.9968546,0.001452126],"study_design_scores_gemma":[0.00005952109,0.000006959401,0.001636236,0.0002016528,0.00001397731,0.00003308241,0.00006492597,0.00009215449,0.0001669923,0.0006865431,0.997022,0.00001604638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003180366,0.00002641491,0.00003467052,0.00002996392,0.00001023687,0.000004555319,0.9989862,0.0002635059,0.0006126491],"genre_scores_gemma":[0.000137352,0.00003733979,0.000164604,0.00004635102,0.000003532239,0.00003375567,0.9989848,0.0001247351,0.0004675543],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8263924,"threshold_uncertainty_score":0.5807754,"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."}}