{"id":"W6886946578","doi":"10.15468/dl.ak8aqp","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":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.0008639449,0.001995872,0.001452232,0.004735279,0.001001656,0.002363846,0.002723523,0.001801994,0.1466718],"category_scores_gemma":[0.005742027,0.0008524212,0.001207152,0.009455426,0.000438094,0.002150376,0.002457364,0.001757411,0.202067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153322,"about_ca_system_score_gemma":0.002401675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02580545,"about_ca_topic_score_gemma":0.0436163,"domain_scores_codex":[0.9990063,0.0001263956,0.0001298848,0.0003475722,0.0002265233,0.0001632933],"domain_scores_gemma":[0.997741,0.0006126735,0.0002159925,0.0005858017,0.0005887179,0.0002558437],"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":[0.00003101314,0.00001124379,0.0003947189,0.00048075,0.00001367925,0.00001484274,0.00002359864,0.000120536,0.0001156511,0.0003865968,0.9968695,0.001537844],"study_design_scores_gemma":[0.00007039992,0.000009698912,0.001869937,0.0001725413,0.00001432037,0.00004087898,0.00007191597,0.0001656776,0.0002008963,0.0007945552,0.9965709,0.00001832865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000536545,0.00002983582,0.00004980906,0.00003495993,0.00001234813,0.000005393274,0.998577,0.0005070142,0.0007299939],"genre_scores_gemma":[0.0001636277,0.0000321515,0.0002127018,0.00004134296,0.000003114604,0.00003474361,0.9988635,0.0001625478,0.000486411],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8533282,"threshold_uncertainty_score":0.4906662,"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."}}