{"id":"W6962006763","doi":"10.15468/dl.qs7f3e","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; 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":[0.00101857,0.001988137,0.001736337,0.005386836,0.0009925191,0.002654334,0.00285255,0.002002244,0.1684117],"category_scores_gemma":[0.006061827,0.0009362413,0.001166784,0.01046548,0.0004494328,0.002296755,0.002614333,0.002015617,0.2215904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617918,"about_ca_system_score_gemma":0.002416937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02260964,"about_ca_topic_score_gemma":0.0372552,"domain_scores_codex":[0.9989576,0.0001373481,0.0001325938,0.0003566623,0.0002381422,0.0001776781],"domain_scores_gemma":[0.9976068,0.0006777028,0.0002306004,0.0006076781,0.0005900061,0.0002873281],"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":[0.00002850782,0.00001039627,0.0003438206,0.0005966994,0.00001615869,0.000014299,0.00002339718,0.0001161738,0.0001190622,0.0004034452,0.9969273,0.001400685],"study_design_scores_gemma":[0.00006918244,0.000007292227,0.001795521,0.0002072541,0.00001543181,0.00003517626,0.0000642641,0.0001186544,0.0001829433,0.0007502484,0.9967366,0.00001737836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003613884,0.00003033263,0.00003952123,0.00003095187,0.00001020777,0.000004678343,0.9988966,0.0003376622,0.0006137907],"genre_scores_gemma":[0.0001515366,0.00003715998,0.0001772567,0.00004315672,0.000003180528,0.00003806145,0.9989489,0.0001470924,0.0004536674],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8315883,"threshold_uncertainty_score":0.5633932,"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."}}