{"id":"W7104259154","doi":"10.15468/dl.h3at4z","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":[0.0009722007,0.002214035,0.001756715,0.005265321,0.001103151,0.002906402,0.002925136,0.002255155,0.1459427],"category_scores_gemma":[0.006085298,0.0009197854,0.001456576,0.01000757,0.0004091907,0.002530577,0.002547404,0.002037376,0.2291136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001906152,"about_ca_system_score_gemma":0.002462731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02474766,"about_ca_topic_score_gemma":0.04036798,"domain_scores_codex":[0.9987011,0.0001693257,0.0001603187,0.0004614543,0.0002717771,0.0002359845],"domain_scores_gemma":[0.9975854,0.0006100129,0.0002198602,0.0006448094,0.000650212,0.000289563],"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":[0.00004159151,0.00001243239,0.0004658235,0.0006074519,0.00001811367,0.00001547363,0.00002079138,0.0001535388,0.0001128981,0.0003822575,0.9964384,0.001731266],"study_design_scores_gemma":[0.00008494834,0.00001053291,0.001944962,0.0002155426,0.00001537418,0.00003753564,0.00007290247,0.000216516,0.0001711966,0.0007182895,0.9964949,0.00001718953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004443782,0.00003723841,0.00003650952,0.00003950423,0.00001267953,0.000004916636,0.998822,0.0004044372,0.0005981825],"genre_scores_gemma":[0.0001445127,0.00003809162,0.0001632286,0.00004774689,0.000003426608,0.00003125201,0.9990476,0.0001072967,0.000416846],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8540573,"threshold_uncertainty_score":0.4882268,"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."}}