{"id":"W6905652055","doi":"10.15468/dl.cen8rn","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); Order (exchange); 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":[0.00110188,0.001966278,0.001722342,0.005707888,0.001029279,0.00268821,0.002902897,0.002059625,0.1634207],"category_scores_gemma":[0.00651665,0.0009404038,0.001194826,0.01084755,0.0004751518,0.002304952,0.002650643,0.002042681,0.2175433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652599,"about_ca_system_score_gemma":0.00255991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02271796,"about_ca_topic_score_gemma":0.03784796,"domain_scores_codex":[0.9988829,0.0001520936,0.0001482373,0.0003845681,0.0002442727,0.0001878608],"domain_scores_gemma":[0.9973491,0.0007673049,0.0002532986,0.0006669118,0.0006520809,0.0003112832],"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":[0.00002930732,0.0000108152,0.0003767804,0.0006398997,0.0000165285,0.00001576466,0.00002514306,0.0001172162,0.0001188031,0.0004256385,0.996882,0.001342117],"study_design_scores_gemma":[0.00007096683,0.000007770065,0.001798679,0.0002193109,0.0000159352,0.00003641643,0.00007075464,0.0001120759,0.0001775077,0.0007802828,0.9966925,0.0000177624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003572784,0.00002879919,0.00003821299,0.00003155127,0.000010486,0.000004929108,0.9989647,0.0002945675,0.0005909686],"genre_scores_gemma":[0.0001491303,0.00003677115,0.0001740048,0.00004492181,0.000003308571,0.00004021254,0.9989721,0.0001344172,0.0004452576],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8365793,"threshold_uncertainty_score":0.5466967,"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."}}