{"id":"W6962180609","doi":"10.15468/dl.bt4bcu","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); Set (abstract data type)","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":[0.0008828797,0.001920033,0.001422606,0.004654743,0.001011351,0.002381423,0.002724875,0.001914341,0.1496163],"category_scores_gemma":[0.005890768,0.0008344297,0.001229047,0.009127945,0.0004414124,0.002198628,0.002484579,0.001889707,0.2072528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616818,"about_ca_system_score_gemma":0.002333374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02714339,"about_ca_topic_score_gemma":0.0441938,"domain_scores_codex":[0.9990543,0.0001208831,0.0001196543,0.0003234954,0.0002225445,0.0001590873],"domain_scores_gemma":[0.9978042,0.0006083946,0.0001907644,0.0005897982,0.0005618815,0.0002448735],"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":[0.00002665138,0.00001112869,0.0003883764,0.0004331034,0.00001313999,0.00001558672,0.00002379068,0.0001252678,0.0001058107,0.0003611568,0.9969953,0.001500628],"study_design_scores_gemma":[0.00006520666,0.000008301394,0.001953468,0.0001782659,0.00001342188,0.00004216793,0.00008697219,0.0001931868,0.000193137,0.0007752095,0.996474,0.00001667819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005370861,0.00002962693,0.00005401821,0.00004255899,0.00001398489,0.000005836526,0.9985645,0.0005032585,0.0007324418],"genre_scores_gemma":[0.0001786947,0.00003028741,0.0002086703,0.00004309232,0.000003469025,0.00003687643,0.9988775,0.0001525106,0.0004689709],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8503836,"threshold_uncertainty_score":0.5005165,"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."}}