{"id":"W6905899759","doi":"10.15468/dl.mrn8q6","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; 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":[0.00105683,0.001949182,0.001596655,0.005268638,0.0009228386,0.002616515,0.002764907,0.001939564,0.1617241],"category_scores_gemma":[0.006202294,0.000928556,0.001194799,0.01005891,0.0004443727,0.002218586,0.002673113,0.001832372,0.2264148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556586,"about_ca_system_score_gemma":0.002331055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02006049,"about_ca_topic_score_gemma":0.03205214,"domain_scores_codex":[0.9988875,0.0001531511,0.0001503018,0.000378817,0.0002460941,0.0001841167],"domain_scores_gemma":[0.9974542,0.0006697509,0.0002511165,0.000702768,0.0006252683,0.0002967789],"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":[0.00003173697,0.00001034297,0.000359855,0.0005937792,0.00001693199,0.00001408287,0.00002260689,0.0001215336,0.0001222806,0.0003841548,0.9968001,0.001522597],"study_design_scores_gemma":[0.00006914863,0.000007866808,0.001806728,0.000188977,0.00001453458,0.00003374322,0.00006069246,0.0001236969,0.0001882108,0.0007584351,0.9967314,0.00001658344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003732455,0.00002852391,0.00004065199,0.00003243162,0.00001038579,0.000005103735,0.9988721,0.0003775114,0.000596019],"genre_scores_gemma":[0.0001587156,0.00003450951,0.0001767911,0.00004634856,0.00000336282,0.00003814758,0.9989622,0.0001469749,0.0004329185],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8382759,"threshold_uncertainty_score":0.541021,"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."}}