{"id":"W7090284577","doi":"10.15468/dl.7d3qca","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Column (typography); Confidentiality","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":[0.0009989624,0.00173376,0.00146869,0.004613985,0.0009581362,0.002761261,0.002666711,0.00190138,0.1863848],"category_scores_gemma":[0.007044177,0.0009278923,0.001158847,0.01003139,0.0004097231,0.00244416,0.002618853,0.002043698,0.2518041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605159,"about_ca_system_score_gemma":0.002295886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02154667,"about_ca_topic_score_gemma":0.03159661,"domain_scores_codex":[0.9989121,0.0001407186,0.0001468958,0.0003684847,0.0002508755,0.0001808817],"domain_scores_gemma":[0.9973996,0.0007159165,0.0002284782,0.0006700368,0.0006975848,0.0002883638],"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":[0.00002382077,0.000008811064,0.0003365053,0.000395028,0.00001096152,0.00001182042,0.0000201014,0.0001120979,0.00006711609,0.0003629436,0.9970862,0.001564664],"study_design_scores_gemma":[0.00006456536,0.000005985284,0.001433907,0.0001719417,0.000009809487,0.0000279932,0.00006761591,0.0001655244,0.0001325675,0.0008123917,0.9970939,0.00001370171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003362062,0.00002100096,0.00004824209,0.00003929067,0.00001116763,0.000005394618,0.9986973,0.0004220684,0.0007219097],"genre_scores_gemma":[0.0001669314,0.00003616729,0.0002347404,0.0000572227,0.000003918929,0.00004619567,0.9986588,0.000203104,0.000592811],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8136152,"threshold_uncertainty_score":0.6235193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583313752165829,"score_gpt":0.2207073729463884,"score_spread":0.2048742354247301,"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."}}