{"id":"W6961711473","doi":"10.15468/dl.d5phqd","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)","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":[0.0008972014,0.001840108,0.001565871,0.00510266,0.0009849013,0.002700414,0.002719139,0.002029313,0.1990118],"category_scores_gemma":[0.006203194,0.0009123929,0.001132091,0.009740091,0.0004303099,0.002501309,0.002638862,0.001985951,0.2540922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649706,"about_ca_system_score_gemma":0.002302349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02230093,"about_ca_topic_score_gemma":0.03505197,"domain_scores_codex":[0.9990641,0.0001186586,0.0001203936,0.0003262243,0.0002116948,0.0001589655],"domain_scores_gemma":[0.9976528,0.000707639,0.0002128431,0.000572585,0.0005833806,0.0002707273],"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":[0.00002457384,0.000009308737,0.0003259144,0.0005469046,0.00001280004,0.00001463856,0.00002427238,0.0001046606,0.0001011691,0.0003695063,0.9970913,0.001374865],"study_design_scores_gemma":[0.00006375063,0.000007110597,0.001633718,0.0002105444,0.00001390656,0.00003650675,0.00007627514,0.0001398081,0.0001708696,0.0007553984,0.9968746,0.00001747192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003521785,0.00002691564,0.00004542389,0.00003844457,0.00001229706,0.00000511122,0.9987317,0.0004140111,0.0006908241],"genre_scores_gemma":[0.0001744341,0.00004116938,0.000219325,0.00005350851,0.000003835255,0.00004587138,0.9986588,0.0002003214,0.0006028589],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8009883,"threshold_uncertainty_score":0.6657606,"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."}}