{"id":"W6943674961","doi":"10.15468/dl.rxsthq","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); Invasive species","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":[0.0008896887,0.002071427,0.001619825,0.004967972,0.0009685792,0.002624206,0.002942455,0.002141075,0.137774],"category_scores_gemma":[0.005641427,0.0009001847,0.001246703,0.009474836,0.0004417537,0.002342447,0.002515972,0.001925314,0.2031665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679008,"about_ca_system_score_gemma":0.002174696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02115424,"about_ca_topic_score_gemma":0.03552207,"domain_scores_codex":[0.9990098,0.0001361472,0.0001246079,0.000359476,0.0002087599,0.000161189],"domain_scores_gemma":[0.9978896,0.0005815303,0.0002024334,0.0005634111,0.0005124631,0.0002505408],"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":[0.00003010918,0.00001230835,0.0004277163,0.0006111747,0.00001675024,0.00001628259,0.00002265796,0.0001441954,0.0001105664,0.0003467858,0.9966604,0.001601103],"study_design_scores_gemma":[0.00008052266,0.00001035918,0.002046665,0.0002200346,0.0000172398,0.00004746426,0.00007907463,0.0002217381,0.0001872294,0.0007685021,0.9963024,0.00001877474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004780638,0.00003792982,0.00004448134,0.00004026146,0.00001256902,0.000005314927,0.9988273,0.0004258674,0.0005583786],"genre_scores_gemma":[0.0001656762,0.00003912029,0.0001950499,0.00004585142,0.000003552554,0.00003931886,0.9989805,0.0001201711,0.0004106988],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8622259,"threshold_uncertainty_score":0.4609001,"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."}}