{"id":"W7106331816","doi":"10.15468/dl.mqs9zq","title":"Occurrence Download","year":2025,"lang":"","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; 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":[0.0009868122,0.001685287,0.001437071,0.005056737,0.0009355334,0.002381897,0.002512441,0.001634257,0.1802982],"category_scores_gemma":[0.005483455,0.00081345,0.001030811,0.01036114,0.0003980926,0.002179189,0.002392542,0.001811255,0.2251898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659871,"about_ca_system_score_gemma":0.002709763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03388194,"about_ca_topic_score_gemma":0.05760831,"domain_scores_codex":[0.999019,0.000126878,0.0001120242,0.0003260348,0.000238275,0.0001777346],"domain_scores_gemma":[0.9975062,0.0006137218,0.0002362224,0.0006307283,0.0006991549,0.0003139359],"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":[0.00002312723,0.000008688331,0.0003560159,0.0003712712,0.0000121105,0.00001122303,0.00001986377,0.0001083596,0.00008949816,0.0003597777,0.9972596,0.001380462],"study_design_scores_gemma":[0.0000540059,0.000006433092,0.001984617,0.0001610857,0.00001156724,0.00002640659,0.00006960891,0.0001330351,0.0001764485,0.0007967003,0.9965639,0.00001624318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003308209,0.00001783644,0.00003892421,0.00002775256,0.000009210013,0.000004387497,0.9988795,0.000332989,0.0006563511],"genre_scores_gemma":[0.0001550683,0.00002493485,0.0001839979,0.00003940264,0.000003170119,0.00003310695,0.9988829,0.0001459252,0.0005314944],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8197018,"threshold_uncertainty_score":0.6031575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}