{"id":"W7107958897","doi":"10.15468/dl.yz9jxt","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); Egretta; Range (aeronautics); Interval (graph theory)","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":[0.0008979171,0.001875232,0.001614328,0.005363006,0.001097973,0.002899822,0.002819777,0.001978557,0.1845221],"category_scores_gemma":[0.006398683,0.0009288281,0.001243608,0.01008805,0.0004087992,0.002616795,0.002646812,0.001948143,0.2604459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167826,"about_ca_system_score_gemma":0.002505649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0231177,"about_ca_topic_score_gemma":0.03894962,"domain_scores_codex":[0.9988781,0.0001373464,0.0001467624,0.0004016539,0.0002488262,0.0001872507],"domain_scores_gemma":[0.9974489,0.0006704717,0.0002325796,0.0006679043,0.0006974696,0.0002826818],"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":[0.00002787499,0.000008994079,0.0003936142,0.0005411109,0.00001324536,0.00001423489,0.00002093988,0.0001013887,0.00009409856,0.0003627912,0.9966431,0.001778684],"study_design_scores_gemma":[0.00005100825,0.000006467814,0.001513581,0.0001821867,0.00001198996,0.00003303838,0.00006680673,0.0001257452,0.0001514357,0.0006652362,0.9971772,0.00001525887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003869758,0.00003253837,0.00004961802,0.00003877013,0.00001329572,0.000004869567,0.9985737,0.0004734303,0.0007750913],"genre_scores_gemma":[0.000168047,0.00004222197,0.0002279683,0.00005193564,0.000004221877,0.00003923502,0.9986829,0.0001780883,0.0006053647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8154779,"threshold_uncertainty_score":0.6172879,"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."}}